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Advances in therapy · 2025

Is COVID-19 Still a Threat? An Expert Opinion Review on the Continued Healthcare Burden in Immunocompromised Individuals.

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Spinner CD, Bell S, Bell S, Einsele H, Tremblay C, Goldman M, Chagla Z, Finckh A, Edwards CJ, Aurer I, Launay O, Casañas I Comabella C, James S, Dube S, Borkowska K, Jah F, Kandeil W, Yokota RTC, Artaud C, Gottenberg JE, Gesualdo L, Bertrand D, Arnetorp S, Magiorkinis G

Аннотация

Coronavirus disease 2019 (COVID-19) caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has had a profound global impact. The emergence of several variants during the pandemic has presented numerous challenges in preventing and managing this disease. The development of vaccines has played a pivotal role in controlling the pandemic, with a significant portion of the global population being vaccinated. This, along with the emergence of less virulent SARS-CoV-2 variants, has led to a reduction in the severity of COVID-19 outcomes for the overall population. Nevertheless, individuals with immunocompromising conditions continue to face challenges given their suboptimal response to vaccination and vulnerability to severe COVID-19. This expert review synthesizes recent published evidence regarding the economic and human impact of COVID-19 on such individuals. The literature suggests that rates of hospitalization, intensive care unit admission, and mechanical ventilation use were high during the pre-Omicron era, and remained high during Omicron and later, despite vaccination for this population. Moreover, studies indicated that these individuals experienced a negative impact on their mental health and health-related quality of life (HRQoL) compared to those without immunocompromising conditions, with elevated levels of anxiety, depression, and distress reported. Further, these individuals with immunocompromising conditions experienced substantial costs associated with COVID-19 and loss of income during the pandemic, though the evidence on the economic burden of COVID-19 in such individuals is limited. Generally, COVID-19 has increased healthcare resource use and costs, impaired mental health, and reduced HRQoL in those with varied immunocompromising conditions compared to both those without COVID-19 and the general population-underscoring the importance of continued real-world studies. Ongoing research is crucial to assess the ongoing burden of COVID-19 in vaccinated individuals with immunocompromising conditions who are still at risk of severe COVID-19 outcomes to ensure their needs are not disproportionately worse than the general population.

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Key Summary Points

This expert opinion review evaluates recent data on healthcare resource utilization (HCRU) and costs associated with COVID-19 in individuals with immunocompromising conditions, while also exploring its impact on mental health and health-related quality of life (HRQoL).
Risk proportion and rates of hospitalization, intensive care unit admission, and mechanical ventilation use were high in individuals with immunocompromising conditions during the pre-Omicron phase; HCRU continues to remain high in the Omicron era and later.
Individuals with immunocompromising conditions experienced substantial COVID-19-related costs and a loss of income during the pandemic.
COVID-19 has had a negative impact on mental health and HRQoL in these individuals, with elevated levels of anxiety, depression, and stress.
Overall, individuals with immunocompromising conditions are still at disproportionately high risk of severe COVID-19 outcomes including increased HCRU and costs, impaired mental health, and reduced HRQoL compared with the general population.

Introduction

The emergence of coronavirus disease (COVID-19), caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has unquestionably left a profound mark on global health and well-being. As of June 2024, more than 700 million cases of SARS-CoV-2 infections have been confirmed worldwide, with a staggering death toll that exceeds 7 million lives lost [ 1 ]. The rapid development of COVID-19 vaccines achieved just months after the pandemic’s onset has been a pivotal factor in controlling the spread of this disease. On May 5, 2023, the World Health Organization (WHO) announced that COVID-19 is no longer classified as a public health emergency, raising the possibility of it becoming endemic in the near future [ 2 ]. Recent data indicate that approximately two-thirds of the world’s population, including 89% of healthcare workers and 82% of adults > 60 years, have received at least two doses of a COVID-19 vaccine, which is a testament to the remarkable progress made in vaccination programs globally [ 2 – 4 ]. Despite the success of vaccination programs, the risk of SARS-CoV-2 infection and severe outcomes remain ongoing challenges, particularly for individuals with immunocompromising conditions—a population in which immunization considered sufficient may not confer adequate benefit [ 5 , 6 ].

Individuals with immunocompromising conditions constitute a heterogenous group who are at high risk of morbidity and mortality due to underlying diseases or ongoing immunosuppressive therapies [ 5 ]. In the United States (US) and United Kingdom (UK), this vulnerable group makes up 2–4% of the total population [ 7 – 9 ]. This prevalence may vary depending on the definition of the underlying immunocompromising population and the assessment of who remains at risk of severe COVID-19 despite vaccination. These individuals often have an inadequate immune response after being vaccinated [ 10 – 12 ], necessitating vaccine booster doses for additional protection [ 10 , 13 ]. Furthermore, these individuals are at a higher risk of experiencing breakthrough SARS-CoV-2 infections, with some studies reporting that > 40% of such cases occur in this population [ 14 – 17 ]. Their immunocompromising condition increases the likelihood of developing severe, potentially life-threatening diseases, and they are particularly susceptible to persistent SARS-CoV-2 infections [ 18 ]. Moreover, individuals who contract COVID-19 have a greater likelihood of developing immunocompromising conditions, such as autoimmune diseases [ 19 ]. Recovery from prior infection can improve prognosis but reinfection can still be challenging for these individuals [ 20 ]. The putative seasonality of SARS-CoV-2 infection poses a challenge in determining the optimal timing and implementation of preventive measures [ 21 ]. Moreover, certain options for preventing and treating COVID-19 in these individuals are limited, especially with the continued emergence of new variants [ 22 ].

Preventing severe infections in immunocompromised individuals involves employing strategies such as vaccination, prophylactic medication, use of face masks, and rigorous hygiene practices [ 23 ]. While vaccination is the primary approach, it may not always provide sufficient protection. The recent US Food and Drug Administration authorization for emergency use of pemivibart for pre-exposure prophylaxis in immunocompromised individuals underscores the urgent need to safeguard this population [ 24 ]. Consequently, many individuals with immunocompromising conditions feel compelled to choose physical and social isolation, which may have a detrimental impact on their mental health, health-related quality of life (HRQoL), and employment prospects. Additionally, those who experience breakthrough SARS-CoV-2 infections have limited treatment options, many of which may not be suitable for those with a compromised immune system [ 25 ].

While the prognosis for individuals with different immunocompromising conditions may vary, symptoms in those with SARS-CoV-2 infection, both from underlying disease and multiple SARS-CoV-2 variants, can have a profound impact. In addition to acute symptoms, post-viral syndromes, such as long COVID or post-acute sequelae of COVID-19, have become prevalent [ 26 , 27 ]. Individuals with weakened immune systems face elevated risks of breakthrough and severe COVID-19 compared with the general population, rendering them more vulnerable to long COVID. Those with immunocompromising conditions who experience long COVID may suffer from severe physical and mental health consequences [ 26 ].

Individuals with immunocompromising conditions are at a particularly higher risk of hospitalization and death from COVID-19 compared with the general population. The management of COVID-19 in these individuals is associated with prolonged stays in hospital and intensive care units (ICUs), imposing substantial financial burden on healthcare systems and families [ 28 – 31 ]. Recent studies conducted in the US reported that hospitalizations for COVID-19 amounted to more than US$1 billion; individuals with immunocompromising conditions accounted for $310 million of these costs [ 8 , 32 ].

The implementation of preventive measures, including social distancing, quarantining, and school and business closures, was intended to protect clinically vulnerable individuals such as those with immunocompromising conditions [ 29 – 31 , 33 ]. To protect these high-risk individuals from potential exposure, numerous facilities pivoted to telemedicine or virtual consultations in lieu of in-person appointments. Nonetheless, these measures inadvertently resulted in setbacks to receiving timely medical care and caused disruption in healthcare access for this vulnerable group [ 34 – 36 ]. For example, a reduction in onsite clinic visits and phlebotomy services led to individuals with critical conditions [such as advanced chronic kidney disease (CKD)] missing regular review appointments, thereby preventing timely preparation for dialysis, with the postponement of vascular access creation meaning dialysis was commenced via a central venous catheter, which poses heightened risk of infection. Additionally, lengthy delays while on a transplant waiting list could extend the dialysis period and lead to unfavorable medical outcomes [ 37 ].

Apart from the delays caused by preventive measures, prolonged SARS-CoV-2 replication in this susceptible population may further contribute to treatment modifications/delays, ultimately worsening individuals’ prognoses [ 38 , 39 ]. In one study, individuals with malignant brain tumor and SARS-CoV-2 infection were found to have 2.2 times greater odds of mortality than those without COVID-19, presenting a unique clinical dilemma where withholding chemotherapy and steroid treatment may be considered to avoid exacerbating the SARS-CoV-2 infection and immunosuppression [ 40 ].

Given the diverse symptoms and indirect effects of COVID-19, the economic and humanistic burden of the disease in this high-risk group warrants a thorough assessment, to understand the value of treatments, vaccination, and preventive measures. This expert review aims to evaluate the recent evidence on healthcare resource utilization (HCRU), including hospitalization, ICU admission, and mechanical ventilation (MV) use and costs associated with COVID-19, along with the ongoing impact of the disease on mental health and HRQoL in this immunocompromised population. By doing so, this expert opinion review aims to illuminate the ongoing burden of COVID-19 in individuals with immunocompromising conditions as well as during any potential future infectious disease outbreaks.

Methods

We conducted a combination of systematic literature and scoping reviews using the MEDLINE, Embase, PsycInfo, and EconLit databases. The search was limited to human studies published between January 2020 and November 2023. To capture relevant studies, a combination of free-text search terms and controlled vocabulary terms for the diseases was utilized (Supplemental Tables 1–4). All records in English, including original articles and abstracts, were retrieved and evaluated for eligibility; all duplicates were eliminated. In total, three literature searches were performed to maintain currency, and 8529 peer-reviewed publications were screened. Of these, 848 were considered via full-text evaluation, resulting in 283 publications prioritized for this review (Supplemental Fig. 1). Selected articles herein were mutually agreed by authors. In addition, this expert opinion review has been informed by the insights of experts in a variety of medical fields (nephrology, transplantation, oncology, genomics, virology, infectiology, immunology, and epidemiology) who also serve as authors of this manuscript. This article is based on previously conducted studies and does not contain any new studies with human participants or animals performed by any of the authors.

Overview

The impact of the COVID-19 pandemic on individuals varies widely, with greater consequences reported for individuals with immunocompromising conditions (Table 1 ) [ 28 ]. This expert opinion review highlights the current findings of studies assessing the economic and humanistic burden of COVID-19 in individuals with immunocompromising conditions. Most studies identified were carried out in the pre-Omicron era, with only a few conducted since Omicron dominated. The variant type was assumed, where necessary, based on the study enrollment date (Tables 2 , 3 , 4 , 5 ).

Table 1
Immunocompromised population considered in this review article
CAR chimeric antigen receptor, CKD chronic kidney disease, ESRD end-stage renal disease, HIV human immunodeficiency virus, TNF tumor necrosis factor

• Individuals with solid tumors or hematologic malignancies, including chronic lymphocytic leukemia
• Individuals undergoing CAR-T therapy or recent hematopoietic stem cell transplant (i.e., within 2 years of transplantation or undergoing immunosuppression therapy)
• Solid organ transplant recipient and undergoing immunosuppressive therapy
• Active treatment with:
o High-dose corticosteroids (i.e., ≥ 20 mg prednisone or equivalent per day when administered for ≥ 2 weeks)
o Alkylating agents
o Antimetabolites
o Transplant-related immunosuppressive drugs
o Cancer chemotherapeutic agents classified as severely immunosuppressive
o TNF inhibitors
• Advanced or untreated HIV (i.e., not suppressed)
• Moderate or severe primary immunodeficiency disorder (such as DiGeorge syndrome or Wiskott–Aldrich syndrome)
• CKD or ESRD who are undergoing dialysis

Table 2
HCRU studies identified in individuals with immunocompromising conditions
AID autoimmune disease, aIRR adjusted incidence rate ratio, aOR adjusted odds ratio, aRR adjusted risk ratio, CAR-T chimeric antigen receptor T-cell therapy, CEV clinically extremely vulnerable, CKD chronic kidney disease, COVID-19 coronavirus, ESRD end-stage renal disease, GI gastrointestinal, HCRU healthcare resource utilization, HIV human immunodeficiency virus, HSCT hematopoietic stem cell transplant, ICU intensive care unit, KT kidney transplant, LOS length of stay, LT liver transplant, LuT lung transplant, MV mechanical ventilation, NA not available, NR not reported, OR odds ratio, RR risk ratio, SOT solid organ transplant, UK United Kingdom, US United States a With high-dose steroids; b CEV group 1 includes severely immunocompromised patients such as those with actively treated hematological malignancies and stem cell or SOT recipients; CEV group 2 includes moderately immunocompromised patients such as those with solid tumors, advanced HIV, or receiving certain immunosuppression therapies; CEV group 3 includes complex conditions associated with poor COVID-19 outcomes such as cystic fibrosis, developmental and intellectual disabilities, and insulin-requiring diabetes

Publication/enrollment period/countryPopulationVaccination statusStudy designHospitalization, n (%)ICU admission, n (%)MV use, n (%)Risk factor group comparisons/LOS
Pre-Omicron era
Agrawal 2022 [ 69 ] June–December 2020 IndiaHSCT Recipients of HSCT with COVID-19 ( n = 28)–Retrospective15 (35.5)––• Median (range) LOS in the hospital for HSCT recipients with COVID-19 was 22 (6–39) days
Andersen 2022 [ 165 ] January 2020–June 2021 USImmunosuppressed individuals with COVID-19 ( n = 16,494)–Retrospective––1520 (9.0)• Comparison of immunosuppressed vs. non-immunosuppressed: unadjusted regression, HR, 1.36 (95% CI: 1.29–1.43)
Non-immunosuppressed individuals with COVID-19 ( n = 206,081)––13,220 (6.0)
Appelman 2022 [ 105 ] March 2020–July 2021 NetherlandsIndividuals with CKD, stage 2, and COVID-19 ( n = 50)–Retrospective–12 (24.5)11 (22.9)• ICU admissions: p = 0.484 • MV use, p = 0.319
Individuals with CKD, stage 3a, and COVID-19 ( n = 75)–20 (26.7)12 (16.2)
Individuals with CKD, stage 3b, and COVID-19 ( n = 94)–16 (17.0)8 (8.5)
Individuals with CKD, stage 4, and COVID-19 ( n = 49)–6 (12.5)6 (12.5)
Individuals with CKD, stage 5, and COVID-19 ( n = 21)–4 (19.0)2 (10.0)
Individuals undergoing dialysis and COVID-19 ( n = 43)–7 (16.7)5 (12.2)
Individuals with kidney transplant and COVID-19 ( n = 57)–15 (26.3)11 (19.3)
Individuals without CKD and COVID-19 ( n = 3762)–812 (22.2)618 (16.9)
Averbuch 2023 [ 103 ] March 2020–December 2021 MultinationalRecipients of HSCT with COVID-19 ( n = 89)UnvaccinatedRetrospective–9 (10.0)––
Bernard 2021 [ 47 ] March–April 2020 FranceIndividuals with hematologic cancer and COVID-19 ( n = 1389)–Retrospective–345 (24.8)–p < 0.01
Individuals without cancer and COVID-19 ( n = 83,329)–13,655 (16.4)–
Braunstein 2021 [ 82 ] June–July 2020 USIndividuals with HIV and COVID-19 ( n = 2410)–Cross-sectional1011 (42.0)124 (5.2)––
Breccia 2022 [ 48 ] February 2020–January 2021 ItalyIndividuals with chronic myeloid leukemia and COVID-19 ( n = 217)–Retrospective39 (18.0)8 (3.6)––
Chavez-MacGregor 2022 [ 101 ] January 2020–January 2021 USAdult patients with and without cancer with COVID-19 ( n = 507,307)–Retrospective–––• 30-day hospitalization risk: Individuals who had cancer and recent treatment had a higher risk of hospitalization (OR: 1.2 vs. 1.0) than those without cancer ( p < 0.001) • 30-day hospitalization rate: hematologic cancer recently treated vs solid cancer recently treated: 43.2% vs 33.5% • 30-day ICU admission risk: Individuals who had cancer and recent treatment had a higher risk of ICU admission (OR: 1.7 vs. 1.0) than those without cancer • 30-day ICU admission rate: hematologic cancer recently treated vs solid cancer recently treated: 14.3% vs 13.5% • 30-day MV rate: hematologic cancer recently treated vs solid cancer recently treated: 11.0% vs 6.2%
Coll 2021 [ 52 ] Before July–December 2020 SpainRecipients of SOT with COVID-19 ( n = 1510)–Prospective1061 (70.4)205 (13.8)155 (10.7)–
Costa 2021 [ 58 ] March–December 2020 BrazilAdults with cancer hospitalized with COVID-19 ( n = 7406)–Retrospective7406 (100.0)3159 (45.3)1802 (27.1)• Mean LOS in the hospital for individuals with cancer and COVID-19 (13.1 days) was significantly higher than that of the general population with COVID-19 (11.5 days); p < 0.001 • Mean LOS in the ICU for individuals with cancer and COVID-19 (10.9 days) was similar to that of the general population with COVID-19 (11.1 days); p = 0.526
Adults without cancer hospitalized with COVID-19 ( n = 315,410)315,410 (100.0)113,481 (39.6)60,197 (21.9)
Cristelli 2021 [ 53 ] March–November 2020 BrazilAdult recipients of KT with COVID-19 ( n = 1680)–Retrospective1094 (65.1)577 (34.6)415 (24.9)–
Crolley 2020 [ 79 ] March–July 2020 UKAdults with cancer receiving systemic anti-cancer therapy and COVID-19 ( n = 68)–Retrospective60 (88.0)––• Median (range) LOS in the hospital for individuals with cancer and COVID-19 was 6 (0–135) days
Giardino 2022 [ 81 ] March 2020–April 2021 ItalyPediatric and adult patients with inborn errors of immunity and COVID-19 ( n = 114)–Retrospective23 (20.2)4 (3.5)–• Detailed information on the course of the disease was available for 19 patients, 4/19 (21.0%) required MV use
Adults with inborn errors of immunity and COVID-19 ( n = 79)NR (26.6)–––
Pediatric patients with inborn errors of immunity and COVID-19 ( n = 35)NR (5.7)–––
Pediatric and adult patients with Good’s syndrome and COVID-19 ( n = 10)NR (66.0)–––
Green 2022 [ 6 ] December 2020–November 2021 EnglandImmunocompromised individuals ( n = 508,930)Received two COVID-19 vaccination dosesRetrospective3950 (18.2)450 (11.4)–• COVID-related hospitalization: Incidence rate, 16.45 (95% CI: 16.19–16.71) per 1000 person-years • COVID-related ICU admission: Incidence rate, 1.88 (95% CI: 1.79–1.97) per 1000 person-years
Individuals with hematologic malignancies ( n = 103,625)1225 (32.9)140 (3.8)• COVID-related hospitalization: Incidence rate, 24.35 (95% CI: 23.67–25.06) per 1000 person-years • COVID-related ICU admission: Incidence rate, 2.79 (95% CI: 2.57–3.04) per 1000 person-years
General population ( n = 15,501,550)28,580 (0.18)1980 (0.01)–• COVID-related hospitalization: Incidence rate, 4.77 (95% CI: 4.74–4.80) per 1000 person-years • COVID-related ICU admission: Incidence rate, 0.33 (95% CI: 0.32–0.34) per 1000 person-years
Hadi 2021 [ 60 ] January–September 2020 USRecipients of SOT ( n = 2307)–Retrospective715 (31.0)253 (11.0)155 (6.7)–
Non-transplant recipients ( n = 231,047)21,160 (9.2)7367 (3.2)4903 (2.1)
Hall 2022 [ 55 ] January 2020–September 2021 CanadaVaccinated individuals with SOT and COVID-19 ( n = 77)Vaccinated and unvaccinatedRetrospective39 (50.6)18 (23.4)11 (14.3)• ICU admission (OR, 0.72 [95% CI: 0.46–1.13]; p = 0.151) • MV use (OR, 0.88 [95% CI: 0.52–1.48]; p = 0.625) • Median (IQR) LOS in the hospital was 11 (6.3–28.8) days for vaccinated individuals with SOT and COVID-19 and 10 (5.8–16.5) days for unvaccinated individuals with SOT and COVID-19; p = 0.53
Unvaccinated individuals with SOT and COVID-19 ( n = 220)108 (49.1)30 (13.6)25 (11.4)
Jering 2022 [ 59 ] April–November 2020 USRecipients of SOT without COVID-19 ( n = 15,330)–Retrospective–2763 (18.0)1057 (6.9)• ICU admission: p < 0.001 • MV use: p < 0.001 • ICU admission: SOT recipients with COVID-19 vs SOT recipients without COVID-19 (aOR, 2.12 [95% CI: 1.88–2.39]) and SOT recipients with COVID-19 vs SOT recipients with non-COVID-19 pneumonia (aOR, 0.88 [95% CI: 0.74–1.04]) • MV use: SOT recipients with COVID-19 vs SOT recipients without COVID-19 (aOR, 3.75 [95% CI: 3.24–4.33]) and SOT recipients with COVID-19 vs SOT recipients with non-COVID-19 pneumonia (aOR, 1.00 [95% CI: 0.83–1.21]) • Median (range) LOS in the hospital was 4 (2–7) days for SOT recipients without COVID-19, 6 (3–12) days for SOT recipients with COVID-19; p < 0.001, and 6 (3–11) days for SOT recipients with non-COVID-19 pneumonia; p < 0.001
Recipients of SOT with COVID-19 ( n = 1682)–519 (30.9)347 (20.6)
Recipients of SOT with non-COVID-19 pneumonia ( n = 1547)–570 (36.8)338 (21.8)
Kolonko 2022 [ 61 ] March 2020–March 2021 PolandRecipients of KT with COVID-19 ( n = 112)–Retrospective37 (33.0)8 (7.1)––
Recipients of LT with COVID-19 ( n = 33)5 (15.2)1 (3.0)––
Recipients of HT with COVID-19 ( n = 56)15 (26.8)8 (14.3)––
Lambourg 2022 [ 72 ] February 2020–March 2021 (Cohort 1) February 2020–February 2021 (Cohort 2) Scotland, UKIndividuals with CKD and COVID-19 in Cohort 1 ( n = 734)–Retrospective386 (52.6)–––
Individuals without CKD and with COVID-19 in Cohort 1 ( n = 2997)1311 (43.7)
Individuals with CKD and COVID-19 in Cohort 2 ( n = 865)411 (47.5)
Individuals without CKD and with COVID-19 in Cohort 2 ( n = 3691)1043 (28.3)
Lara 2022 [ 46 ] March–June 2020 USAdults with gynecologic malignancy and COVID-19 ( n = 193)–Retrospective106 (54.9)39 (20.2)13 (6.7)• Hospitalization: Cytotoxic chemotherapy (OR: 0.83 [95% CI: 0.41–1.68]
Lièvre 2020 [ 43 ] March–June 2020 FranceIndividuals with solid tumors and COVID-19 ( n = 1289)–Retrospective734 (65.0)110 (10.0)49 (5.0)• Corticosteroids before COVID-19 diagnosis (ref: no) (OR, 1.60 [95% CI: 1.03–2.48]; p = 0.04) • Thoracic primary tumor location (ref: others) (OR: 1.50 [95% CI: 1.02–2.21]; p = 0.04) • ECOG PS ≥ 2 (ref: 0–1) (OR: 2.61 [95% CI: 1.88–3.62]; p < 0.0001) • Updated Charlson Comorbidity Index (OR: 1.08 [95% CI: 1.02–1.15]; p = 0.0147)
Ljungman 2021 [ 102 ] On or before July 2020 InternationalRecipients of HSCT with COVID-19 ( n = 356)–Prospective265 (74.4)80 (22.5)––
Meyts 2021 [ 104 ] March–June 2020 InternationalRare inborn errors of immunity with COVID-19 ( n = 94)–Observational59 (63.0)18 (19.1)12 (12.8)–
Moreno-Torres 2023 [ 106 ] January–December 2020 SpainHospitalized individuals who were HIV negative with COVID-19 ( n = 117,460)NoRetrospective117,460 (99.8)11,423 (9.7)–• HIV positive vs. HIV negative, ICU admission, p = 0.273
Hospitalized individuals who were HIV positive with COVID-19 ( n = 234)234 (0.2)26 (11.1)–
Passamonti 2020 [ 49 ] February–June 2020 ItalyAdults with hematologic cancer and COVID-19 ( n = 536)–Retrospective451 (84.1)50 (9.3)––
Rana 2023 [ 70 ] April–Ocotber 2020 IndiaIndividuals with COVID-19 and CKD ( n = 170)–Retrospective–81 (47.6)––
Individuals with COVID-19 and no CKD ( n = 2416)698 (28.9)
Requiao-Moura 2021 [ 54 ] March–November 2020 BrazilAdult recipients a of KT with COVID-19 ( n = 550)–Retrospective477 (86.7)–––
Sánchez-Álvarez 2020 [ 51 ] March–April 2020 SpainRecipients KT or receiving dialysis with COVID-19 ( n = 868)–Retrospective738 (85.0)52 (6.0)––
Semenzato 2021 [ 44 ] February–September 2020 FranceIndividuals with solid cancer, recipients of SOT, and individuals receiving dialysis, with/without COVID-19 (all age groups ( (n = 3,239,630))–Database14,163 (0.4)–––
Shapiro 2022 [ 83 ] March–December 2020 USIndividuals with HIV and COVID-19 ( n = 649)UnvaccinatedObservational106 (16.0)31 (4.8)16 (2.5)ICU admission: • Individuals with HIV ≥ 50 years: 25 (81.0%)
Soler 2021 [ 56 ] February–October 2020 EuropeAdults receiving dialysis or KT, ACEi/ARB non-users with COVID-19 ( n = 972)–Observational761 (78.3)119 (12.3)87 (10.0)–
Adults receiving dialysis or KT, ACEi/ARB users with COVID-19 ( n = 447)242 (76.5)58 (13.0)41 (9.2)–
Sparks 2021 [ 113 ] March 2020–April 2021 MultinationalIndividuals with RA and COVID-19 receiving immunosuppressive treatments ( n = 1388)–Retrospective203 (14.6)–––
Tilch 2022 [ 50 ] February 2020–October 2021 Croatia, France, Germany, Republic of Ireland, Italy, Netherlands, Portugal, Spain, and UKAdults with mantle cell lymphoma and COVID-19 ( n = 63)Vaccinated (14%)Retrospective46 (73.0)16 (25.4)14 (22.2)–
Vinson 2021 [ 57 ] January–November 2020 USAdult recipients of SOT with COVID-19 ( n = 1925)–Retrospective826 (42.9)––• The median (IQR) LOS in the hospital for adult SOT recipients with COVID-19 was 5 (2–10) days
Zhang 2021 [ 80 ] December 2019–May 2020 ChinaRenal allograft recipients with COVID-19 ( n = 3 1)–Retrospective–4 (12.9)2 (6.5)• The median (IQR) LOS in the hospital for renal allograft recipients with COVID-19 was 33 (25–44) days
Pre-Omicron and emergence of Omicron
Amorrortu 2023 [ 84 ] January 2021–February 2022 USAdults with cancer and COVID-19 ( n = 1971)–Cross-sectional209 (10.6)–––
Beck 2023 [ 112 ] March–September 2022 South KoreaIndividuals with ESRD and COVID-19 ( n = 106)VaccinatedRetrospective–6 (5.7)2 (1.9)–
Chuengsaman 2022 [ 89 ] August 2021–July 2022 ThailandIndividuals with peritoneal dialysis and COVID-19 ( n = 1487)Vaccinated (9%)Prospective921 (62.0)–––
Cortellini 2023 [ 86 ] January 2020–February 2022 EuropeAdults with cancer and COVID-19 ( n = 240)Vaccinated (17.5%)Prospective131 (56.2)22 (9.4)––
de Sandes-Freitas 2021 [ 166 ] March 2020–January 2021 BrazilAdults with COVID-19 receiving dialysis ( n = 587)UnvaccinatedRetrospective298 (51.0)179 (30.0)130 (22.0)Adults receiving dialysis vs. transplant • Hospitalization, p < 0.001 • ICU admission, p = 0.023 • MV use, p = 0.035
Adults with KT and COVID-19 ( n = 587)396 (68.0)214 (37.0)161 (28.0)
Eren-Kutosoylu 2023 [ 63 ] March 2020–September 2022 TurkeyIndividuals with LT and COVID-19 ( n = 16)VaccinatedRetrospective5 (31.4)1 (20.0)1 (20.0)–
Escalante 2023 [ 64 ] March 2020–April 2022 SpainRecipients of KT with COVID-19 ( n = 58)VaccinatedRetrospective30 (51.7)10 (33.3)6 (20.0)–
Hospitalized individuals without KT with COVID-19 ( n = 90)–9 (10.2)0
Glaser 2022 [ 45 ] March 2020–December 2021 USGynecologic oncology individuals with COVID-19 ( n = 348)–Retrospective101 (69.0)18 (5.2)12 (3.0)Hospitalization ( p < 0.44): • Ovarian cancer: 32% (Ref) • Endometrial cancer: 26% (unadjusted OR: 0.74 [95% CI: 0.43–1.28] • Endometrial cancer: 32% (unadjusted OR: 1.01 [95% CI: 0.54–1.88]
Gobbato 2023 [ 88 ] January 2021–June 2022 ItalyVaccinated individuals with cancer and COVID-19 ( n = 7269)Vaccinated and unvaccinatedDatabase739 (10.2)––• Subdistribution HR for hospitalization (vaccinated vs. unvaccinated): 2.57 (95% CI: 2.13–2.87)
Unvaccinated individuals with cancer and COVID-19 ( n = 2485)566 (22.8)
Hamm 2022 [ 110 ] December 2020–December 2021 DenmarkIndividuals with SOT and COVID-19 ( n = 143)VaccinatedRetrospective45 (31.5)11 (7.7)–• Hospitalization in SOT recipients: Lower in vaccinated (26.4% [95% CI: 18.1–34.6]) vs. unvaccinated (48.5% [95% CI: 31.4–65.5]); p = 0.011
––• ICU admission, 30-day cumulative incidence was 7.7% (95% CI: 3.3–12.1)
Harrison 2023 [ 167 ] March 2020–February 2022 CanadaIndividuals with kidney failure and COVID-19 treated with dialysis ( n = 246)Vaccinated (50%)Prospective80 (33.0)14 (6.0)––
Kolla 2023 [ 65 ] February 2020–July 2022 FranceRecipients of KT with COVID-19 ( n = 41,463)–Database5279 (12.7)–––
Recipients of LT with COVID-19 ( n = 14,464)925 (6.4)
Recipients of HT with COVID-19 ( n = 5327)687 (12.9)
Recipients of LuT with COVID-19 ( n = 2823)511 (18.1)
Ma 2023 [ 108 ] March 2020–May 2022 USAdults with GI cancer and COVID-19 ( n = 1054)Vaccinated (26%)Retrospective203 (19.3)203 (19.3)45 (4.3)Hospitalization: • CCI score 0–2 (Ref) • CCI score ≥ 3 (aORR: 2.52 [95% CI: 1.71–3.71] MV use • CCI score 0–2 (Ref) • CCI score ≥ 3 (aORR: 3.89 [95% CI: 1.57–9.60]
McNerney 2023 [ 87 ] March 2020–March 2022 Italy, Netherlands, and USRecipients of CAR-T with COVID-19 pre-Omicron ( n = 47)–Retrospective19 (40.4)6 (12.7)3 (4.3)• Hospitalization following the emergence of the Omicron variant (with reference to pre-Omicron): OR: 0.067 (95% CI: 0.0062–0.4086; p = 0.0016)
Recipients of CAR-T with COVID-19 during Omicron ( n = 23)1 (4.3)
Mikhailov 2023 [ 66 ] February 2020–July 2022 GermanyRecipients of KT with COVID-19 in pre-Omicron ( n = 317)Vaccinated (58%)Retrospective154 (49.0)56 (18.0)–KT recipients in pre-Omicron vs. Omicron • Hospitalization (pre-Omicron vs. Omicron): p < 0.001 • ICU admission (pre-Omicron vs. Omicron): p < 0.001
Recipients of KT with COVID-19 in Omicron ( n = 261)54 (21.0)17 (7.0)–
Nolan 2024 [ 98 ] January 2021–March 2022 USUnvaccinated individuals with LT or liver-kidney transplant and COVID-19 ( n = 28)Vaccinated/UnvaccinatedRetrospective8 (28.6)1 (1.3)––
Vaccinated individuals with LT or liver-kidney transplant and COVID-19 ( n = 34)2 (5.9)0
Okumura 2023 [ 107 ] August 2020–June 2022 USRecipients of LuT with COVID-19 ( n = 367)–Retrospective54 (15.0)272 (74.0)175 (48.0)COVID-19 vs. non-COVID-19 LuT recipients • ICU admission: p < 0.001 • MV use: p < 0.001
Recipients of LuT without COVID-19 ( n = 3638)418 (11.0)460 (13.0)144 (4.0)
Peled 2023 [ 168 ] July 2021–September 2022 IsraelRecipients of HT with COVID-19 ( n = 59)VaccinatedProspective36 (61)–––
Rasmussen 2023 [ 74 ] March 2020–May 2022 DenmarkIndividuals with HIV ( n = 5276)Vaccinated with 2 doses (91%) and 3 doses (89%)Observational–––Hospitalization risk in individuals with HIV vs general population • Year 2020: aIRR: 1.9 (95% CI: 1.1–3.3) • Year 2021: aIRR: 2.0 (95% CI: 1.1–2.8) • First half of year 2022: aIRR: 2.0 (95% CI: 1.4–2.8)
General population ( n = 42,208)Vaccinated with 2 doses (92%) and 3 doses (88%)
Sales 2023 [ 111 ] March 2020–September 2020 March 2021–December 2021 BrazilIndividuals who were HIV positive in 2020 and admitted to the hospital for COVID-19 ( n = 86)–Retrospective–37 (43.5)30 (35.7)Individuals who were HIV positive vs. HIV negative in 2020 • ICU admission: p = 0.841 • MV use: p = 0.572 Individuals who were HIV positive vs. HIV negative in 2021 • ICU admission: p = 0.616 • MV use: p = 0.932
Individuals who were HIV positive in 2021 and admitted to the hospital for COVID-19 ( n = 44)17 (38.6)15 (34.1)
Individuals who were HIV negative in 2020 and admitted to the hospital for COVID-19 ( n = 339)141 (41.6)106 (31.7)
Individuals who were HIV negative in 2021 and admitted to the hospital for COVID-19 ( n = 175)77 (44.3)56 (32.0)
Simone 2023 [ 67 ] March 2020–April 2022 ItalyTotal recipients of KT ( n = 743); recipients of KT with infections pre-vaccination ( n = 66)VaccinatedLongitudinal18 (27.3)–––
Recipients of KT with infections after 2 doses of vaccine ( n = 6)3 (50.0)
Recipients of KT with infections after 3 doses of vaccine ( n = 51)4 (7.8)
Singh 2023 [ 109 ] February 2021–April 2022 USUnvaccinated recipients of KT with COVID-19 ( n = 118)Vaccinated/UnvaccinatedRetrospective11 (8.0)4 (3.3)––
Vaccinated recipients of KT with COVID-19 ( n = 282)12 (3.0)3 (1.0)
Toro 2023 [ 100 ] January 2020–December 2021 ChileIndividuals with ESRD and COVID-19 ( n = 243)–Prospective35 (14.4)–––
Trindade 2022 [ 114 ] May 2020–March 2022 USRecipients of LuT with COVID-19, pre-Delta era ( n = 27)–Retrospective8 (30.0)–1 (4.0)LuT recipients • Hospitalization: p = 0.23 • MV use: p = 0.26
Recipients of LuT, Delta era ( n = 20)7 (35.0)3 (15.0)
Recipients of LuT with COVID-19, Omicron era ( n = 56)10 (18.0)3 (5.0)
Turtle 2023 [ 28 ] January 2020–February 2022 UKAdults with preadmission immunosuppressants and COVID-19 ( n = 12,701)Vaccinated (81%)Prospective12,701 (100)2005 (15.9)898 (7.1)Adults with presubmission immunosuppressants vs. immunocompetent individuals • ICU admission: aOR, 1.19 (95% CI: 1.12–1.26); p < 0.001 • MV use: aOR: 1.21 (95% CI: 1.11–1.32); p < 0.001
Immunocompetent individuals with COVID-19 admitted to hospital ( n = 134,598)Vaccinated (85%)134,598 (100)20,710 (15.5)8665 (6.6)
Welti 2022 [ 85 ] February 2020–February 2022 SwitzerlandIndividuals with melanoma cancer and COVID-19 ( n = 25)Unvaccinated (72%)Retrospective6 (24)2 (8)––
Yadaw 2023 [ 73 ] January 2020–June 2022 USIndividuals with cancer and COVID-19 ( n = 137,706)Vaccinated/UnvaccinatedRetrospective–––• Hospitalizations: aOR: 1.24 (95% CI: 1.22–1.26) vs. COVID-19 only
Individuals with metastatic cancer and COVID-19 ( n = 22,737)–• Hospitalizations: aOR: 2.19 (95% CI: 2.12–2.26) vs. COVID-19 only
Individuals with HIV and COVID-19 ( n = 10,959)–• Hospitalizations: aOR: 1.26 (95% CI: 1.19–1.33) vs. COVID-19 only
Individuals with prior autoimmune disease only and COVID-19 ( n = 191,520)30,834 (16.1)• Hospitalizations: aOR: 1.21 (95% CI: 1.19–1.24) vs. COVID-19 only
Individuals with prior immunosuppressant usage and COVID-19 ( n = 278,095)45,766 (16.5)• Hospitalizations: aOR: 1.19 (95% CI: 1.17–1.21) vs. COVID-19 only
Individuals with autoimmune disease and immunosuppressant usage and COVID-19 ( n = 56,813)–• Hospitalizations: aOR: 1.31 (95% CI: 1.28–1.34) vs. COVID-19 only
Individuals with kidney disease and COVID-19 ( n = 138,958)–• Hospitalizations: aOR: 1.88 (95% CI: 1.86–1.91) vs. COVID-19 only
Omicron era
Agrawal 2022 [ 75 ] December 2020–February 2022 UKIndividuals who were HIV positive ( n = 10,650)Received primary vaccine series with/without COVID-19Retrospective–––Individuals who were HIV positive vs. HIV negative • Hospitalization/death: aRR: 0.61 (95% CI: 0.35–1.08)
Individuals who were HIV negative ( n = 9,710,820)–––
Individuals taking immunosuppressants ( n = 188,310)–––Individuals taking immunosuppressants vs. those who do not • Hospitalization/death: aRR: 5.80 (95% CI: 5.53–6.09)
Individuals not taking immunosuppressants ( n = 13,664,280)–––
Individuals taking oral steroids ( n = 1,693,390)–––Individuals taking oral steroid vs. those who do not • Hospitalization/death: aRR: 2.01 (95% CI: 1.95–2.06)
Individuals not taking oral steroids ( n = 9,409,260)–––
Individuals with rheumatoid arthritis or SLE ( n = 212,080)–––Individuals with rheumatoid arthritis vs. those without • Hospitalization/death: aRR: 2.32 (95% CI: 2.20–2.45)
Individuals without rheumatoid arthritis or SLE ( n = 13,640,520)–––
Individuals with CKD stage 3–5 ( n = 185,950)–Individuals with CKD stage 5 vs. those without • Hospitalization/death: aRR: 3.71 (95% CI: 2.90–4.74)
Individuals without CKD ( n = 3,945,160)–
Anjan 2022 [ 93 ] December 2021–January 2022 USRecipients of SOT with COVID-19 ( n = 166)VaccinatedRetrospective53 (32.0)19 (11.4)8 (5.0)–
Bahremand 2023 b [ 76 ] January–March 2022 CanadaHospitalized individuals who were in CEV group 1 with COVID-19 and vaccinated with 2 doses ( n = 39)Vaccinated and unvaccinated with COVID-19Observational–––• Hospitalizations: RR: 14.2 (95% CI: 10.2–19.7)
Hospitalized individuals who were in CEV group 2 with COVID-19 and vaccinated with 2 doses ( n = 90)• Hospitalizations: RR: 3.6 (95% CI: 2.9–4.5)
Hospitalized individuals who were in CEV group 3 with COVID-19 and vaccinated with 2 doses ( n = 236)• Hospitalizations: RR: 4.7 (95% CI: 4.0–5.5)
Hospitalized non-CEV individuals with COVID-19 ( n = 387)Ref
Hospitalized individuals who were in CEV group 1 with COVID-19 and vaccinated with 3 doses ( n = 133)• Hospitalizations: RR: 15.8 (95% CI: 13.2–19.0)
Hospitalized individuals who were in CEV group 2 with COVID-19 and vaccinated with 3 doses ( n = 207)• Hospitalizations: RR: 3.0 (95% CI: 2.6–3.5)
Hospitalized individuals who were in CEV group 3 with COVID-19 and vaccinated with 3 doses ( n = 209)• Hospitalizations: RR: 2.8 (95% CI: 2.4–3.3)
Hospitalized non-CEV individuals with COVID-19 ( n = 565)Ref
Brosh-Nissimov 2023 [ 77 ] Mid-January 2022–January end IsraelHospitalized vaccinated (3 doses) elderly immunocompromised individuals with COVID-19 ( n = 386)Vaccinated and unvaccinatedRetrospective386 (100.0)–85 (22.0)• Receipt of 4th dose of COVID-19 vaccine was associated with protection from MV or death: OR: 0.51 (95% CI: 0.3–0.87), p = 0.01
Hospitalized vaccinated (4 doses) elderly immunocompromised individuals with COVID-19 ( n = 88)88 (100.0)14 (16.0)
Hospitalized unvaccinated elderly immunocompromised individuals with COVID-19 ( n = 403)403 (100.0)83 (20.0)
Evans 2023 [ 9 ] January–December 2022 EnglandIndividuals with moderate-to-severe primary immunodeficiency ( n = 870)Vaccinated with ≥ 3 doses by study startRetrospective20 (0.1)0–• Hospitalizations: aIRR: 9.70 (95% CI: 6.33–14.87) • ICU admission: aIRR: NA
Individuals with secondary immunodeficiency ( n = 75,465)685 (4.7)20 (7.8)• Hospitalizations: aIRR: 3.02 (95% CI: 2.79–3.27) • ICU admission: aIRR: 4.84 (95% CI: 3.03–7.72)
Individuals receiving high-dose, long-term moderate dose corticosteroids ( n = 3510)35 (0.2)0• Hospitalizations: aIRR: 2.16 (95% CI: 1.54–3.02) • ICU admission: aIRR: NA
Individuals with ESRD ( n = 18,055)430 (2.4)25 (0.1)• Hospitalizations: aIRR: 3.74 (95% CI: 3.39–4.13) • ICU admission: aIRR: 16.15 (95% CI: 10.55–24.74)
Individuals with solid organ transplant ≤ 5 years prior ( n = 5765)170 (2.9)10 (0.2)• Hospitalizations: aIRR: 13.12 (95% CI: 11.23–15.31) • ICU admission: aIRR: 20.93 (95% CI: 2.82–155.56)
Individuals with stem cell transplant ≤ 2 years prior ( n = 995)20 (2.0)25 (2.5)• Hospitalizations: aIRR: 10.96 (95% CI: 6.83–17.56) • ICU admission: aIRR: NA
Individuals with solid tumor ≤ 5 years prior ( n = 265,960)1915 (13.1)< 10 (< 3.9)• Hospitalizations: aIRR: 1.40 (95% CI: 1.33–1.47) • ICU admission: aIRR: 1.22 (95% CI: 0.79–1.86)
Individuals with hematological malignancy ≤ 5 years prior ( n = 50,665)925 (1.8)20 (0.04)• Hospitalizations: aIRR: 3.62 (95% CI: 3.38–3.87) • ICU admission: aIRR: 13.58 (95% CI: 9.65–19.11)
Individuals with advanced or untreated HIV and COVID-19 ( n = 455)< 10 (< 2.2)25 (5.5)• Hospitalizations: aIRR: 2.55 (95% CI: 1.20–5.43) • ICU admission: aIRR: NA
Hippisley-Cox 2023 [ 71 ] December 2021–March 2022 (with follow-up to June 2022) EnglandIndividuals with CKD stage 5 with transplantation and COVID-19 ( n = 1123)VaccinatedObservational251 (22.3)––Risk of hospitalization in women • CKD stage 5 (transplant): aHR, 8.42 (95% CI: 6.91–10.26) • CKD stage 5 (dialysis): aHR, 2.36 (95% CI: 1.57–3.53) • CKD stage 5: aHR, 3.89 (95% CI: 3.21–4.72) • No CKD: aHR, 1.00 (95% CI: 1.00–1.00) Risk of hospitalization in men • CKD stage 5 (transplant): aHR, 7.90 (95% CI: 6.59–9.48) • CKD stage 5 (dialysis): aHR, 1.56 (95% CI: 1.05–2.31) • CKD stage 5: aHR, 2.51 (95% CI: 2.10–4.72) • No CKD: aHR, 1.00 (95% CI: 1.00–1.00)
Individuals with CKD stage 5 with dialysis and COVID-19 ( n = 484)49 (10.1)
Individuals with CKD stage 5 and COVID-19 ( n = 1384)238 (17.1)
Individuals with no CKD but COVID-19 ( n = 1,267,768)16,082 (1.3)
Lerner 2022 [ 96 ] December 2021–May 2022 USVaccinated (with 2 doses) individuals with SOT and COVID-19 ( n = 27)Vaccinated and unvaccinatedRetrospective10 (37.0)4 (14.8)–• Low oxygen requirements (MV use) with more vaccine doses ( p = 0.003)
Vaccinated (with ≥ 3 doses) individuals with SOT and COVID-19 ( n = 60)16 (26.7)2 (3.3)
Unvaccinated individuals with SOT and COVID-19 ( n = 16)9 (56.3)4 (25.0)
Puyat 2023 [ 95 ] December 2020–October 2022 CanadaIndividuals who were HIV positive with COVID-19 ( n = 658)Vaccinated (63%) and unvaccinated (37%)Retrospective115 (17.5)17 (2.6)–Hospitalization (HIV positive vs. HIV negative): • Overall: aHR: 1.00 (95% CI: 0.85–1.25) • Vaccinated: aHR: 1.00 (95% CI, 0.69–1.45) • Inadequately vaccinated: aHR: 1.04 (95% CI: 0.76–1.41) • Unvaccinated: aHR: 1.15 (95% CI: 0.84–1.56)
Individuals who were HIV negative with COVID-19 ( n = 252,471)Vaccinated (59%) and unvaccinated (41%)19,166 (7.6)4319 (1.7)
Salmanton-García 2022 [ 92 ] April–August 2022 Multinational (40 countries)Vaccinated individuals with hematological malignancy ( n = 102)Vaccinated (99%)–31 (30.4)–––
Thotsiri 2022 [ 68 ] January 2021–July 2022 ThailandRecipients of KT with COVID-19 who received 0–1 vaccine dose ( n = 48)Unvaccinated (60%)Retrospective34 (81.0)–7 (15.0)–
Recipients of KT with COVID-19 who received 2 vaccine doses ( n = 31)15 (48.0)0
Recipients of KT with COVID-19 who received 3 vaccine doses ( n = 67)8 (12.0)1 (2.0)
Ullrich 2022 [ 78 ] March–May 2022 GermanyAdults with hematologic cancer and COVID-19 ( n = 61)VaccinatedRetrospective6 (9.8)5 (8.2)––
Zhang 2024 [ 94 ] December 2022–January 2023 (followed up until May 2023) ChinaRecipients of LT with COVID-19 ( n = 726)Vaccinated (40%)Observational81 (11.2)4 (0.6)–Hospitalization • Age: OR 1.04 (95% CI: 1.01–1.07); p = 0.005 • Male gender: OR 3.08 (95% CI: 1.41–6.73); p = 0.005 • No vaccination: OR 3.27 (95% CI: 1.13–9.50); p = 0.029 and single dose vaccine: OR 1.95 (95% CI: 1.09–3.47); p = 0.024 • Hypertension: OR 1.97 (95% CI: 1.13–3.44); p = 0.017

Table 3
Economic studies identified in individuals with immunocompromising conditions in the pre-Omicron and Omicron era
COVID-19 coronavirus disease, ESRD end-stage renal disease, GBP British pound sterling, HCRU healthcare resource utilization, HSCT hematopoietic stem cell transplant, ICU intensive care unit, MV mechanical ventilation, SD standard deviation, UK United Kingdom, US United States, USD United States dollar

Publication/study date/countryPopulationVaccination statusStudy designDatabaseMeasure/instrumentComparison
Ketkar 2024 [ 32 ] April 2020–December 2022Individuals with HSCT or solid organ transplant, primary immunodeficiency, or ESRD ( n = 25,080,848)VaccinatedRetrospectiveHealthcare Integrated Research DatabaseCosts associated with hospitalization, all-cause HCRU, and paid costsMean (SD) costs (2022 USD) for first COVID-19 hospitalization • General population: $28,848 ($76,591) • Individuals with immunocompromising condition: $42,719 ($134,942)
Ketkar 2023 [ 8 ] April 2020–March 2022 USIndividuals with HSCT or solid organ transplant, primary immunodeficiency, or ESRD ( n = 458,049)VaccinatedRetrospectiveHealthcare Integrated Research DatabaseCosts associated with hospitalization, all-cause HCRU, and paid costs• Overall hospitalization costs ranging from $30,671 in hematologic malignancies and solid tumors to $102,224 in those with ESRD • Mean costs for hospitalizations associated with the first COVID-19 diagnosis were estimated at nearly $1 billion (2021 USD) for individuals with immunocompromising condition, with a mean cost of $64,029 per patient
Ohsfeldt 2021 [ 115 ] April–December 2021 USAdults with auto-immune disease and hospitalized for COVID-19 ( n = 247,590)–ObservationalPremier Healthcare DatabaseHospitalization costsAdults with auto-immune disease vs. those without • Costs (USD) were significantly higher in those with vs. those without autoimmune disease ($2635/day vs. $2607/day; p < 0.038) • Mean ICU admission costs for autoimmune individuals were US$3940/day
Yang 2023 [ 116 ] August 2020–January 2022 UKImmunocompromised ( n = 63,547) and immunocompetent adults ( n = 1,629,716)–RetrospectiveClinical Practice Research Datalink Aurum primary care databaseCosts associated with hospitalization, critical care, and MV useMV use mean critical care costs (GBP) • Immunocompromised individuals: £39,029 • Immunocompetent individuals: £40,148

Table 4
Mental health studies identified in individuals with immunocompromising conditions
ART anti-retroviral therapy, BCQ Brief COPE Questionnaire, BRCS Brief Resilient Coping Scale, BSI Brief Symptom Inventory, CKD chronic kidney disease, CoPaQ COVID-19 Pandemic Mental Health Questionnaire, COVID-19 coronavirus, DASS-21 Depression Anxiety Stress Scale 21, DMOL Direct Measure of Loneliness, DSI Dialysis Symptom Index, FACT-F Functional Assessment of Cancer Therapy-Fatigue, FCV-19S Fear of COVID-19 Scale; GAD-7 General Anxiety Disorder 7, HADS Hospital Anxiety and Depression Scale, HDC high-dose chemotherapy, HIV human immunodeficiency virus, HSCT hematopoietic stem cell transplant, IES-R Impact of Event Scale-Revised, IQR interquartile range, ISI Insomnia Severity Index, K-10 Kessler Psychological Distress Scale, KPD-38 Clinical Psychological Diagnosis System 38, KT kidney transplant, PCL PTSD Checklist – Civilian version, PHQ Public Health Questionnaire, PSQI Pittsburgh Sleep Quality Index, PROMIS-29 Patient-Reported Outcomes Measurement Information System-29, PSS Perceived Stress Scale, PTSD post-traumatic stress disorder, QDIS Quality of Life Disease Impact Scale, QIDS-SR Quick Inventory of Depressive Symptoms-self-report, QoL quality of life, SCT stem cell transplant, SD standard deviation, SF-MUIS Short-form Mishel Uncertainty in Illness Scale, SOT solid organ transplant, SSS-DSM IV-PTSD Short Screening Scale-Diagnostic and Statistical Manual of Mental Disorders Post-Traumatic Stress Disorder, UCLA-3 University of California, Los Angeles Loneliness Scale (Version 3), UK United Kingdom, US United States

Publication/study date/countryPopulationVaccination statusStudy designDomainInstrumentComparisonMental health results
Pre-Omicron era
Amonoo 2021 [ 131 ] March 2019–January 2020 March 2020–January 2021 USAdults with HSCT with/without COVID-19 ( n = 205)–Cross-sectionalDepression, anxietyHADS 17-item PTSD Checklist Civilian Version (PCL) FACT-FPre- vs. during pandemicLevels of depression, anxiety, PTSD symptoms, QoL, and fatigue were similar before and during the pandemic
Arrieta 2021 [ 118 ] March 2020–February 2021 MexicoAdults with thoracic neoplasms with/without COVID-19 ( n = 144)–ProspectiveDepression, distress, anxietyDASS-21None• Depression: 18% • Distress: 18% • Anxiety: 31% • Individuals with distress or depression had higher odds of experiencing treatment delays than those without
Bastien 2023 [ 123 ] April 2020–May 2021 FranceAdults with cancer ( n = 386)–ProspectiveDistressIES-RFirst lockdown vs. release period Second lockdown vs. release period• Stable low levels of PTSD throughout the pandemic • Levels of PTSD increased during lockdown periods • PTSD symptoms were associated with increased insomnia, cognitive complaints, and impaired QoL
Celik 2022 [ 132 ] March–December 2020 TurkeyAdults with HSCT ( n = 83)–ProspectiveDepression, stress, anxietyFCV-19SPre- vs. during pandemic• FCV-19S median score of 16.5 indicating moderate depression, anxiety, or stress.
Chen 2022 [ 135 ] June 2020–August 2021 ChinaAdults with CKD ( n = 172)–Cross-sectionalSleepPSQIPre- vs. during pandemic• PSQI score > 5: 58% of individuals experienced poor sleep during the pandemic
Dang 2022 [ 136 ] July 2020–March 2021 VietnamAdults with hemodialysis ( n = 875)–Cross-sectionalDepressionPHQ-9–• Low/mild symptoms of depression (< 10 points) were seen in 58.2% of patients • Moderate-to-severe symptoms of depression (≥ 10 points) were seen in 41.8% of patients
Glidden 2022 [ 122 ] January–February 2021 CanadaAdolescents and young adults with cancer and with/without COVID-19 ( n = 805)–Cross-sectionalDistressK-10Pre- vs. during pandemic• A significantly ( p < 0.001) higher proportion reported moderate-to-severe distress during the pandemic (68.0%) vs. pre-pandemic (50.4) • Employment impact and hematological cancer were associated with higher distress
Graves 2022 [ 127 ] May–October 2020 USIndividuals with thyroid cancer ( n = 378)UnvaccinatedCross-sectionalAnxiety, depressionPROMIS-29Pre- vs. during pandemic• Levels of anxiety and depression significantly higher during the pandemic vs. pre-pandemic ( p < 0.05) • Young age and change in treatment plan were significantly associated with increased anxiety
Heyne 2022 [ 124 ] September–November 2021 GermanyIndividuals with any cancer ( n = 438)Vaccinated (95.5%)Cross-sectionalDistressFCV-19SNone• Mean anxiety score: 5.1 (moderate anxiety) • Mean FCV-19S core: 13.5 • A negative correlation was observed between vaccination status and obsessive thinking about COVID-19
Hong 2022 [ 133 ] July 2020 ChinaMen who have sex with men with HIV ( n = 1205)–Cross-sectionalDistressPHQ-4–• Distress (63.7% vs. 52.7%), anxiety (35.6% vs. 20.6%), and depression (35.6% vs. 18.8%) were significantly higher ( p < 0.05) in HIV-positive men vs. those who were HIV negative or unknown status
Howden 2022 [ 121 ] January 2021–February 2021 CanadaAdolescents and young adults with cancer ( n = 805)–Cross-sectionalLonelinessUCLA-3None• Lonely: 52% • Loneliness was most likely to be reported in people undergoing cancer therapy, with a self-disclosed pre-pandemic mental health condition, or not in a relationship • People living in rural/remote locations were less likely to report loneliness
Lamblin 2022 [ 120 ] March 2020–September 2020 FranceAdults with non-metastatic breast cancer or gynecological cancer ( n = 125)UnvaccinatedProspectiveDepressionHADSLockdown vs. post-lockdown• Mean depression score was significantly lower post-lockdown vs. during lockdown
Anxiety• Mean anxiety score was lower post-lockdown vs. during lockdown, but not significantly so
Lee 2022 [ 134 ] August–November 2020 KoreaAdults with CKD ( n = 148)–Systematic reviewAnxiety, depression, distress, insomniaGAD-7, PHQ-9, IES-R, ISI–• GAD-7 score of 10.51 (SD 5.19) during the pandemic, indicating moderate anxiety • PHQ-9: 23.6% of individuals experienced moderate or severe depression during the pandemic • IES-R: 41.9% of individuals experienced no distress, 33.8% experienced mild distress, 18.9% experienced moderate distress, and 5.4% experienced severe distress during the pandemic • ISI: 5.7% had insomnia during the pandemic
Luber 2022 [ 137 ] June 2020 UKIndividuals with inflammatory bowel disease ( n = 274)–Cross-sectionalDepression, anxiety, stressPHQ-9, PSS, GAD-7–• Individuals had moderate levels of stress during the pandemic: Mean (SD) PSS score of 16.2 (7.4), median (IQR) PHQ-9 score of 5 (2–9) and median (IQR) GAD-7 score of 4 (1–7)
Marino 2022 [ 125 ] June 2020 FranceAdults with cancer ( n = 1097)UnvaccinatedCross-sectionalDistressIES-RNone• Low level PTSD: 85% • Moderate-to-severe PTSD: 15% • Fear of going to hospital due to risk of contracting COVID-19 strongest predictor of PTSD • Better lockdown experience was protective against PTSD
Matsumoto 2022 [ 117 ] June–July 2020 VietnamIndividuals living with HIV receiving ART ( n = 1243)UnvaccinatedProspectiveDepression, anxiety, stressDASS-21–• Individuals had a DASS-21 mean score of 9.2 (SD 18.2) during the pandemic, indicating distress
McKay 2021 [ 130 ] July 2020 UKAdult recipients of kidney, heart, and lung transplants ( n = 826)UnvaccinatedCross-sectionalResilienceSF-MUIS BCQ – multiple domainsNone• Individuals used acceptance (91.7%), active coping (78.9%), and self-distraction (78.5%) as coping mechanisms, indicating good resilience
Obispo-Portero 2022 [ 119 ] February 2020–May 2021 SpainAdults with newly diagnosed advanced cancer ( n = 401)–Cross-sectionalAnxiety, depressionBSINone• Clinically significant symptoms of depression: 35% • Clinically significant symptoms of anxiety: 36% • Increased levels of anxiety or depression were associated with being female, having a preoccupation about cancer, and feeling hopelessness (also being a younger age for anxiety)
Sparaco 2022 [ 139 ] January 2019–December 2020 ItalyIndividuals with multiple sclerosis ( n = 154)–Cross-sectionalPTSDSSS-DSM IV-PTSD, DASS-21–• 37% of individuals had PTSD, mean score of 2.81 (SD 2.09)
Tasorian 2022 [ 138 ] March 2020–April 2020 IranIndividuals with rheumatoid arthritis ( n = 149)–Cross-sectional–DASS-21, PSS–• Moderate levels of stress with PSS mean score of 24.9 (SD 8.8) and DASS-21 mean score of 43.0 (SD 24.6)
Tulk 2022 [ 126 ] January–February 2021 CanadaIndividuals with any cancer ( n = 805)–Cross-sectionalInsomniaISINone• Distress: 88.2% (moderate-to-severe: 68.0%) • Insomnia: 38.8% • Lonely: 52.0% • Distress was the largest contributor to increased insomnia during pandemic
DistressK-10
LonelinessUCLA-3
Weber 2021 [ 129 ] August–October 2020 GermanyAdult recipients of liver transplant with/without COVID-19 ( n = 162)UnvaccinatedCross-sectionalRisk perceptionUCLA Loneliness Scale–Overall CoPaQSOT vs. no SOT• More pronounced risk-avoidance behavior and a higher perception of loneliness in SOT recipients compared with non-transplant individuals ( p < 0.001)
Zgoura 2020 [ 128 ] October 2019–April 2020 GermanyAdult recipients of KT and healthy controls ( n = 117)UnvaccinatedCross-sectionalAction competence, general life satisfactionKPD-38: Action competencePre- vs. during pandemic• Action competence was significantly worse • ( p = 0.003) during the pandemic in KT recipients vs. non-transplant individuals
KPD-38: General life satisfaction• General life satisfaction during the pandemic was similar between KT recipients and non-transplant individuals ( p = 0.057)
Pre-Omicron and emergence of Omicron
Khiyali 2023 [ 143 ] November 2021–February 2022 IranIndividuals with cancer undergoing chemotherapy ( n = 155)–Cross-sectionalSpiritual well-beingEllisons spiritual well-being scale–• Moderate levels of COVID-19 anxiety, spiritual well-being, and resilience • Increased spiritual well-being significantly associated with increased resilience • Lower spiritual well-being significantly associated with increased COVID-19 anxiety • Low resilience correlated with COVID-19 anxiety
Kiefer 2022 [ 141 ] January 2019–June 2022 GermanyIndividuals with hemato-oncologic diseases after high-dose chemotherapy with allogeneic HDC/alloSCT who had been rehabilitated ( n = 75)–RetrospectiveAnxietyHADSPre- vs. during pandemic• Statistically significant ( p < 0.05) reduction in HADS score between pre-pandemic (6.72) and during the pandemic (4.78)
Mihic-Gongora 2022 [ 142 ] February 2019–December 2021 SpainAdults with advanced, unresectable cancer ( n = 636)–ProspectiveStressBRCSNone• High levels of resilience • High levels of distress • Resilience correlated positively with spirituality • Psychological stress correlated negatively with resilience and spiritual well-being
DistressBSI
Powell 2023 [ 161 ] December 2022–June 2023 UK, USIndividuals with immunocompromising conditions ( n = 2320)VaccinatedCross-sectionalAnxiety, depression, loneliness, life impact attributed to avoiding COVID-19HADS, DMOL, QDIS-7Immunocompromised vs. non-immunocompromised individuals during pandemic• Physical distancing was moderately to strongly correlated to outcomes specific to avoiding COVID-19
Non-immunocompromised individuals ( n = 359)
Shih 2023 [ 140 ] April 2021–March 2022 USIndividuals with cancer ( n = 200)Vaccinated (84%)Cross-sectionalDistressCOVID-19 distress surveyPre- vs. during pandemic• Worse levels of distress vs. before pandemic: 40% • Gastrointestinal, genitourinary, and head and neck cancers reporting worsened distress: > 70% – Significant predictors of increased distress: Age, worsened social isolation, negative attitude to staying at home, depression at baseline • Coping strategies associated with distress included snacking and distracting themselves

Table 5
Studies on HRQoL identified in individuals with immunocompromising conditions
COVID-19 coronavirus, CKD chronic kidney disease, DLQI Dermatology Life Quality Index, EORTC QLQ-C30 European Organisation for Research and Treatment of Cancer Quality of Life Questionnaire Core 30, EQ-5D-5L EuroQol 5 dimensions questionnaire, ESRD end-stage renal disease, FACT-BMT Functional Assessment of Cancer Therapy-Bone Marrow Transplant, HIV human immunodeficiency virus, HRQoL health-related quality of life, HSCT hematopoietic stem cell transplant, KDQOL-36 Kidney Disease Quality of Life-36, KT kidney transplant, LT lung transplant, MCS mental component score, NR not reported, PCS physical component score, PEDsQL Pediatric Quality of Life Inventory, PODCI Pediatric Outcome Data Collection Instrument, PSQI Pittsburgh Sleep Quality Index, QoL quality of life, SARS-CoV 2 severe acute respiratory syndrome coronavirus 2, SD standard deviation, SF-12 12-item Short Form Health Survey, SF-36 36-item Short Form Health Survey, UK United Kingdom, US United States, WPAI-CIQ-SHP Work Productivity and Activity Impairment plus Classroom Impairment Questions: Special Health Problem

Publication/study date/countryPopulationVaccination statusStudy designMeasure/ instrumentComparisonHRQoL results
Alexander 2022 [ 145 ] July 2021 GermanyAdults who had surgery for pancreatic cancer ( n = 26)Vaccinated (96%)ObservationalEORTC QLQ-C30Pre- vs. during pandemic• EORTC QLQ-C30: Lower mean scores of 65.3 during pandemic vs. 68.9 pre-pandemic • The decrease in physical and emotional functioning scores during the pandemic was attributed to pancreatic cancer and pandemic, respectively • Vaccine improved HRQoL: 48%
Amonoo 2021 [ 131 ] 2019–2021 US, the NetherlandsAdults with HSCT with/without COVID-19 ( n = 205)–Cross-sectionalFACT-BMTPre- vs. during pandemic• FACT-BMT: Mean scores were comparable between pre- and during the pandemic
Bonenkamp 2021 [ 156 ] February–July 2020Adults with ESRD on dialysis with/without COVID-19 ( n = 177)–Cross-sectionalSF-12Pre- vs. during pandemic• Mean (SD) MCS was comparable before (48.08 [± 10.15]) and during (49.00 [± 10.04]) the pandemic • Mean (SD) PCS was 35.92 (± 9.99) pre-pandemic and 37.52 (± 10.38) during the pandemic • Worsening in in mobility, self-care, usual activities, pain/discomfort, and anxiety/depression scores pre-pandemic to post-pandemic
Burruss 2022 [ 148 ] Pre-pandemic: January–December 2019 During pandemic: March–August 2020 USIndividuals with multiple myeloma ( n = 199)–RetrospectiveEQ-5D-5LPre- vs. during pandemic• Overall Health State: + 16 (16%)
Celik 2022 [ 132 ] January 2015–March 2021 TurkeyAdults with HSCT ( n = 64)–ProspectiveEORTC QLQ-C30Pre- vs. during pandemic• EORTC QLQ-C30: Mean (SD) 59.64 (± 20.04)
Chen 2022 [ 135 ] June 2020–August 2021 ChinaAdults with CKD not on dialysis ( n = 172)–Cross-sectionalKDQOL-36During pandemic• Lower HRQoL scores were seen across the physical, mental, and burden of kidney disease domains
De Pasquale 2021 [ 151 ] March–June 2020 ItalyRecipients of KT ( n = 89)Unvaccinated (assumed)Cross-sectionalSF-36 – Physical and MentalPre- vs. during pandemic• Physical and mental health scores were low pre-pandemic and during pandemic
Ellehuus 2021 [ 144 ] May–June 2020 DenmarkAdults with hematological cancer ( n = 2239)UnvaccinatedCross-sectionalEORTC QLQ-C30During pandemic• Global health status, mean (SD): 69 (22.6) indicating reduced HRQoL
Gitto 2022 [ 152 ] June–September 2021 ItalyRecipients of LT ( n = 511)NRCross-sectionalSF-12During pandemic• Mean (SD) PCS: 47.3 (9.6) • Mean (SD) MCS: 49.3 (9.9) • Low SF-12 scores during the pandemic
Hammond 2023 [ 159 ] April 2021–January 2022 CanadaIndividuals with HIV ( n = 375)VaccinatedCross-sectionalPreventive behaviorDuring pandemic• Individuals with known SARS-CoV 2 infection were more likely to self-quarantine after possible exposure, although asymptomatic (65.0% vs 23.4%, p < 0.001, Chi-square test)
Hanke 2020 [ 150 ] NR–May 2020 GermanyRecipients of KT ( n = 236)Unvaccinated (assumed)Cross-sectionalSF-12 – PhysicalPre- vs. during pandemic• Low SF-12 scores pre- and during the pandemic
Helito 2021 [ 155 ] July–October 2020 BrazilAdolescents with chronic immunosuppressive conditions ( n = 305) and healthy controls ( n = 82)–Cross-sectionalPODCI, PEDsQL, PSQIDuring pandemic• Adolescents with chronic conditions had a higher median happiness scale than healthy controls (median [range] 85 [5–100] vs. 75 [0–100], p = 0.025) • PedsQL total scale score for immunocompromised adolescents was similar to healthy controls (median [range] 73 [21–100] vs 70 [41–100]; p = 0.415) • Sleep latency (mean [SD] 1.11 [1.02] vs. 1.37 [1.05], p = 0.043) and day dysfunction because of sleepiness (0.71 [0.78] vs. 1.01 [0.87], p = 0.003) were significantly lower in adolescents with chronic immunosuppressive conditions vs. healthy controls
Jeppesen 2021 [ 147 ] May 2020 DenmarkAdults with solid cancer ( n = 4571)UnvaccinatedCross-sectionalEORTC QLQ-C30Pre- vs. during pandemic• Mean global health score during pandemic: 71.3 • No significant differences in score between this study and a 2017 study in adults with any cancer (Barometer study cohort; mean score 74.4) • Concerns over contracting COVID-19 associated with decreased QoL
Lamblin 2022 [ 120 ] March–September 2020 FranceIndividuals with non-metastatic breast or gynecological cancer ( n = 125)UnknownProspectiveEORTC QLQ-C30 SF-12Lockdown vs. post-lockdown• QoL was significantly higher post lockdown vs. during-lockdown
Lannoy 2022 [ 154 ] July 2020–March 2021 USIndividuals living with HIV ( n = 21), HIV and alcohol use disorder ( n = 14), and healthy controls ( n = 34)–ProspectiveSF-12Pre- vs. during pandemic• Lower HRQoL scores were seen in individuals living with HIV during the pandemic vs. pre-pandemic, with greatest decline seen in those with HIV and alcohol use disorder
Lloyd 2023 [ 160 ] December 2022–June 2023 USIndividuals with immunocompromising conditions ( n = 2320)VaccinatedCross-sectionalEQ-5D-5L, SF-12v2, WPAI-CIQ-SHPDuring pandemic• A high proportion of immunocompromised individuals (68%) practiced physical distancing • Immunocompromised adults with high/very high levels of physical distancing had worse HRQoL
Non-immunocompromised individuals ( n = 359)
McKay 2021 [ 130 ] July 2020 UKAdult recipients of kidney, heart, and lung transplants ( n = 988)UnvaccinatedCross-sectionalEQ-5D-5LNone• Health status of transplant recipients (health status index score, 0.75 [95% CI: 0.73–0.77]) was poorer than the general population (Health Survey England score, 0.82 [95% CI: 0.81–0.83])
Meyyappan 2022 [ 153 ] April–December 2020 IndiaAdult recipients of KT ( n = 104)Unvaccinated (assumed)ProspectiveEQ-5D-5LPre- vs. during pandemic• A statistically significant difference ( p = 0.04) was observed in the EQ-5D-5L scores pre- (99.5 [SD 0.75]) and during the pandemic (95.6 [SD 3.25])
Nguyen 2022 [ 146 ] April–May 2021 VietnamAdults with solid cancer actively receiving chemotherapy ( n = 270)Majority unvaccinatedCross-sectionalEORTC QLQ-C30Cancer stage, type, treatment• Mean global health status during pandemic: 56.7 • High concerns about contracting COVID-19, delaying chemotherapy, not controlling cancer well, worrying about either cancer or COVID-19 over the other were associated with worse HRQoL
Ripamonti 2022 [ 149 ] June 2020 ItalyAdults (30–70 years) with or without any cancer on active treatment ( n = 312)UnvaccinatedCross-sectionalSF-12Cancer vs. general populations• Significantly lower levels of fear of COVID-19, cancer, and other diseases • Significantly lower physical component scores • Significantly higher mental component scores

Individuals with immunocompromising conditions have a compromised immune system because of underlying diseases and treatments, which makes them more susceptible to prolonged SARS-CoV-2 infection and COVID-19-related mortality than the general population [ 9 , 28 , 41 , 42 ].

Impact on Healthcare Resources

Healthcare Resource Utilization (HCRU)

Based on the medical literature evidence reviewed herein, COVID-19-related HCRU was higher in individuals with immunocompromising conditions compared with the general population or those with immunocompromising conditions without COVID-19, with most requiring hospitalization, ICU, and ventilatory support (Table 2 ). Among these individuals, HCRU typically was highest for individuals with cancers and solid organ transplants [ 6 , 43 – 57 ]. Individuals with cancer generally experienced higher HCRU compared to respective control populations [ 47 , 58 ]. HCRU was the highest for individuals with hematologic cancer compared with those with other cancer types [ 6 , 43 – 50 ].

For individuals receiving solid organ transplantation, COVID-19-related HCRU was high compared with non-transplant recipients and transplant recipients without COVID-19 [ 59 , 60 ]. The highest HCRU was reported among kidney transplant recipients [ 51 , 53 , 54 , 56 , 61 – 68 ]. Based on several comparative studies, HCRU in individuals with CKD was also higher compared with the general population in both the pre-Omicron and Omicron eras [ 6 , 69 – 72 ].

Individuals living with human immunodeficiency virus (HIV) and COVID-19 also required higher HCRU compared with immunocompetent populations [ 73 , 74 ]. HCRU in individuals receiving active immunosuppressive treatments (high-dose corticosteroids, alkylating agents, antimetabolites, transplant-related immunosuppressive drugs, cancer chemotherapeutic agents classified as severely immunosuppressive, or tumor necrosis factor inhibitors) was lower compared with other populations with immunocompromising conditions described here; however, this varied across studies [ 28 , 73 , 75 ]. Additionally, studies conducted in the Omicron era showed that populations with immunocompromising conditions were also particularly vulnerable to higher HCRU compared with those without, despite vaccination status [ 9 , 69 , 76 – 78 ].

Hospitalization Risk and Rates

In the pre-Omicron era, COVID-19-related hospitalization rates were generally higher in individuals with hematologic cancers than solid tumors (18–84% vs. < 1–65%; Table 2 ) [ 6 , 43 , 44 , 46 – 50 ]. In a Brazilian study, the mean length of stay (LOS) was significantly greater in individuals with cancer and COVID-19 than among the general population with COVID-19 (13.1 days vs. 11.5 days, respectively; p < 0.001) [ 58 ]. Median LOS for individuals with cancer and COVID-19 in the UK was ~ 6 days [ 79 ]. In addition, solid organ transplant recipients with COVID-19 tend to require more hospital-related resource use compared with non-transplant recipients and transplant recipients without COVID-19 [ 44 , 59 , 60 ]. Hospitalization rates ranged from < 1 to 87% (Table 2 ) [ 44 , 51 – 57 , 59 – 61 ]; median LOS in the hospital ranged from 5 to 33 days [ 17 , 57 , 59 , 80 ].

The overall COVID-19-related hospitalization rate was also high in individuals with primary immunodeficiency disorder infected with SARS-COV-2, ranging from 6% in children with inborn errors of immunity and SARS-CoV-2 infection, to 66% in those with Good’s syndrome and SARS-CoV-2 infection [ 81 ]. In SARS-COV-2 infected individuals with HIV, the frequency of hospitalization varied, with rates ranging from 16 to 42% [ 82 , 83 ].

Rates of COVID-19-related hospitalizations were slightly lower than the pre-Omicron era, but continued to remain high in individuals with cancer as the Omicron variant began to emerge (Table 2 ) [ 84 – 86 ]. Hospital-related resource use was lower in patients with COVID-19 on receipt of chimeric antigen receptor T-cell therapy or hematopoietic stem cell transplant (HSCT) (4.3%) during this period compared with those in the pre-Omicron era (40.4%) [ 87 ]. A study was conducted in Italy to examine the impact of COVID-19 vaccination (≥ 1 dose) on hospitalization in individuals with cancer. While COVID-19 vaccination led to a reduction in hospitalization frequency in most patients with cancer (3–26% vs. 8–47%) compared with their non-vaccinated counterparts, it was less efficient in mitigating hospitalization risk among patients with hematologic cancer, such as leukemia [ 88 ].

In another study, individuals with peritoneal dialysis who were diagnosed with COVID-19 between August 2021 and July 2022 had a hospitalization rate of 62%; almost two thirds of those hospitalized required oxygen or other invasive respiratory support [ 89 ]. In an Italian study, COVID-19 hospitalization among patients with kidney transplant was 27% higher prior to vaccination, but lower among individuals with three doses of a COVID-19 vaccine (8%) [ 67 ]. In separate studies conducted in Scotland, COVID-19 hospitalization rates among patients receiving dialysis or with kidney transplant who received two doses of a COVID-19 vaccine were 31%, and 22% among those who received three doses [ 90 , 91 ]. In general, individuals with immunocompromising conditions and COVID-19 continued to face a greater likelihood of hospitalization than those without such conditions (Table 2 ) [ 28 , 64 ]. This trend persisted in the context of Omicron variants, as indicated by several studies [ 9 , 75 , 76 ], one of which found that clinically extremely vulnerable (CEV) individuals had a much higher incidence of cumulative breakthrough hospitalization, indicating a risk ratio of 14.2 (95% confidence interval [CI]: 10.2–19.7) and 15.8 (95% CI: 13.2–19.0) compared with matched non-CEV individuals for two- and three-dose recipients, respectively [ 76 ].

In the Omicron era, rates of COVID-19-related hospitalization remained high in individuals with immunocompromising conditions, despite vaccination (Table 2 ) [ 9 , 68 , 75 – 78 , 92 – 96 ]. In individuals with hematologic cancers, rates of COVID-19-related hospitalizations ranged from 10 to 30% (Table 2 ) [ 78 , 92 ]. One study reported a 74% hospitalization rate among HSCT recipients [ 69 ]. COVID-19-related hospitalization rates among patients with solid organ transplant varied across studies, but were marginally lower during the Omicron era than those observed in the pre-Omicron era (Table 2 ); this has been attributed to increased vaccination coverage [ 65 , 67 , 68 , 93 , 94 , 97 – 99 ]. A study in Thailand demonstrated that patients with kidney transplant with COVID-19 who had received a vaccine booster dose (third dose) had lower hospitalization rates (12%) compared with those receiving one (81%) or two (48%) doses [ 68 ]. Additionally, a Chinese study conducted during the Omicron era reported that the COVID-19-related hospitalization rate for patients with liver transplant who received two vaccine doses was 11% [ 94 ]. Nevertheless, rates have been found to vary regionally, as, in a single center retrospective US study of patients with solid organ transplant, a hospitalization rate of 32% was observed during the Omicron era [ 93 ]. Finally, another study conducted in Chile reported a 14% rate of hospitalization for COVID-19 in patients with end-stage renal disease (ESRD) [ 100 ]. Although the HCRU in individuals receiving active immunosuppressive treatments was lower than that in those with other immunocompromising conditions described here, several comparative studies found that, overall, the risk of COVID-19-related hospitalization was higher in those receiving immunosuppressive treatment compared to those who were not [ 28 , 73 , 75 ].

Very limited data exist on the burden of COVID-19 in individuals with other immunocompromising conditions including primary immunodeficiency disorder, HIV, and ESRD during this time. One study found that those with primary immunodeficiency disorder were at a high risk for COVID-19-related hospitalization [adjusted incidence rate ratio (aiRR): 9.7; 95% CI: 6.3–14.9] and hospitalization risk was low in individuals with ESRD (aiRR: 3.7; 95% CI: 3.39–4.13) and HIV (aiRR: 2.6; 95% CI: 1.20–5.43) [ 9 ]. A study conducted in Canada, comparing risk of hospitalization for COVID-19 in individuals with/without HIV during the pre-Omicron and Omicron era, showed that those with HIV had approximately twice the risk than HIV-negative individuals during both the pre-Omicron and Omicron periods, with relative risk more pronounced in unvaccinated individuals [ 95 ].

ICU Admissions

Among individuals with COVID-19, those who had cancer and recent treatment had a higher risk of ICU admission [odds ratio (OR): 1.7 vs. 1.0] than those without cancer (reference group) [ 101 ]. ICU admissions were higher among individuals with hematologic cancers versus the general population (Table 2 ) [ 6 , 47 ]. Two studies reported ICU admissions, which ranged from 10% in children and young adults with COVID-19 to 23% in a cohort of individuals with COVID-19 who had undergone allogeneic or autologous hematopoietic cell transplantation [ 102 , 103 ]. Another study reported that a higher percentage of patients with cancer and COVID-19 were admitted to the ICU than those with cancer and no COVID-19; here, ICU LOS was noted to be similar among patients with cancer and COVID-19 (10.9 days) and those patients with cancer without COVID-19 (11.1 days) [ 58 ].

ICU admission rates due to COVID-19 in solid organ transplant recipients also varied between studies (Table 2 ) [ 51 – 53 , 55 , 56 , 59 – 61 ]. Overall, these rates were higher in transplant recipients than in the general population and significantly higher in transplant recipients hospitalized for COVID-19 than those without COVID-19 [ 6 , 59 , 60 ]. ICU admissions were also higher in vaccinated versus unvaccinated individuals with solid organ transplant (23% vs. 14%) [ 55 ].

One retrospective study reported an ICU admission rate of 19% for individuals with inborn errors of immunity and SARS-CoV-2 infection [ 104 ]; ICU admission rates were high in those with CKD (13–48%) and HIV (5–81%) [ 56 , 70 , 83 , 105 ]. Another study assessed the rate of ICU admission in individuals with COVID-19 who tested HIV positive and negative, and found that there was no significant difference ( p = 0.273) in duration between the two groups (11.1 vs 9.7, respectively) [ 106 ].

Overall, ICU admission rates remained consistently high in individuals with cancer (4–45%) and solid organ transplant (1–74%) during the pre-Omicron era and the emergence of Omicron (Table 2 ) [ 28 , 45 , 63 , 64 , 66 , 85 , 86 , 98 , 107 – 110 ]. Despite the Omicron variant being less virulent, solid organ transplant recipients continued to experience elevated ICU admissions [ 93 , 96 ]. One study found that the rate of ICU admission in individuals who were HIV positive in Brazil in 2021 (39%) was comparable to that in 2020 (44%), with no significant difference. This could be because of low immunization rates in Brazil due to the unavailability of vaccines in the first half of 2021 [ 111 ]. A study conducted in South Korea focusing on individuals with ESRD indicated that ~ 6% of these patients required ICU admission, even after vaccination [ 112 ]. In the Omicron era, there were minimal reported cases of ICU utilization among individuals with immunocompromising conditions.

MV Use

MV rates were higher in individuals with hematologic cancer (11–22%) compared to those with solid cancer (5–7%) in the pre-Omicron era (Table 2 ) [ 43 , 46 , 50 , 101 ]. Solid organ transplant recipients with COVID-19 had higher rates of MV versus those without transplant and versus transplant recipients without COVID-19 [ 59 , 60 ]. In two studies of individuals with primary immunodeficiency disorder and COVID-19, rates of MV ranged from 13 to 21% [ 81 , 104 ]. Incidence of MV use was ~ 7% in individuals receiving active immunosuppressive treatments [ 113 ].

MV use decreased substantially in patients with cancer (3–4%) during the emergence of the Omicron era compared to the pre-Omicron period (5–22%), likely attributable to vaccination (Table 2 ) [ 28 , 43 , 45 , 46 , 50 , 87 , 101 , 108 ]. According to a study conducted in South Korea, only 2% of individuals with ESRD who received the third vaccine dose required MV [ 112 ]. Conversely, MV use was high (4–48%) in solid organ transplant recipients during this period [ 63 , 64 , 107 , 114 ]. One study noted a similar usage of MV among Brazilian HIV-positive individuals in 2021 (34%) compared with those in 2020 (36%), attributed to low immunization rates in the country given the unavailability of vaccines in early 2021 [ 111 ]. Limited data are available on MV use in patients with immunocompromising conditions during the Omicron-dominant phase. A US retrospective study reported that 5% of solid organ transplant recipients who were hospitalized for COVID-19 required MV [ 93 ]. Two studies indicated that solid organ transplant recipients who had received two or three doses of the COVID-19 vaccine had a lower MV requirement compared with those who were unvaccinated or received one dose of COVID-19 vaccine [ 68 , 96 ]. A retrospective study conducted in Israel found that a fourth COVID-19 vaccine dose significantly protected immunocompromised elderly individuals from MV or death (OR: 0.51; 95% CI: 0.3–0.87) compared with those receiving three doses [ 77 ].

Overall Considerations on Healthcare Resource Impact

The data presented above underscore that through the evolution of COVID-19, immunocompromised individuals have remained at high risk compared with non-immunocompromised individuals and the overall general population. Prior to the availability of vaccines, as well as pre-Omicron, outcomes from a hospitalization, ICU admission, and MV perspective were heightened in those who were immunocompromised.

In the pre-Omicron era, a US retrospective cohort study of over 220,000 patients with confirmed or suspected COVID-19 found that immunosuppressed patients had a 36% greater risk of invasive MV compared with those who were not immunosuppressed (9% vs. 6%, unadjusted HR: 1.3) [ 113 ]. This was further substantiated by another large US cohort study of over 500,000 patients diagnosed with COVID-19, where individuals with cancer and recent (≤ 3 months) treatment (e.g., chemotherapy ± immunotherapy) had a 19% and 69% higher overall risk of hospitalization and ICU stay, respectively, compared with those without cancer—interestingly, those with cancer but no recent treatment had similar outcomes to those without cancer [ 101 ].

As immunization efforts began to reshape the pandemic, the burden remained among high-risk and immunocompromised individuals, even those who were vaccinated. A large UK cohort study, covering 15.5 million fully vaccinated individuals, found that despite vaccination, high-risk populations had substantially higher incidence rates of COVID-19-related hospitalization and ICU admissions compared with the general population (4.77 and 0.33 per 1000 person-years, respectively) [ 5 ]. Comparator populations of note included immunocompromised individuals (16.45 and 1.88, respectively) and those with hematological malignancies (24.35 and 2.79, respectively). Another prospective cohort study found that adults with COVID-19 (> 80% of whom were vaccinated) were 19% more likely to be admitted to the ICU and 21% more likely to receive MV than those considered immunocompetent [ 27 ].

As the COVID-19 pandemic progressed and opportunity for additional vaccination was available, outcomes continued to remain high risk among the immunocompromised. A Canadian population-based study of over 300,000 individuals noted hospitalization risk ratios ranging from 2.8 to 15.8 among individuals with varying levels of immune dysfunction (72% of whom were vaccinated with three doses) compared with those not immunocompromised (56% vaccinated with three doses) [ 18 ]. In a UK prospective cohort study of 13.8 million individuals who completed a primary vaccine schedule and a booster dose, those receiving immunosuppressants remained at risk of severe COVID-19 outcomes despite the booster dose (adjusted relative risk: 5.8) compared with no immunosuppressants, emphasizing the importance of prioritizing specific populations for additional means to prevent COVID-19 [ 75 ].

Economic Impact

Limited data exist on the economic impact of COVID-19 in immunocompromised individuals (Table 3 ). One study compared hospitalization costs in COVID-19-affected individuals with and without autoimmune disease in the US. Costs were significantly higher in those with versus those without autoimmune disease {$2635/day vs. $2607/day [2020 United States dollars (USD)]; p < 0.038}. Mean ICU admission costs for individuals with autoimmune disease were US$3940/day [ 115 ]. Another study in England evaluated HCRU cost in immunocompromised and immunocompetent patients with COVID-19. The median healthcare cost per hospitalization was £8727 [2020/2021 British pound sterling (GBP)] in both immunocompromised and immunocompetent patients; median critical care costs were higher among immunocompetent (£17,439) than immunocompromised patients (£14,551). Mean critical care costs requiring MV use were also similar (immunocompromised: £39,029; immunocompetent: £40,148) [ 116 ]. In a separate US study, hospitalizations ( n = 14,516) for COVID-19 among patients with immunocompromising conditions amounted to nearly US$1 billion, with overall hospitalization costs ranging from $30,671 (2021 USD) for patients with hematologic malignancies and solid tumors to $102,224 (2021 USD) for those with ESRD [ 8 ]. An updated analysis of this study revealed that between January and December 2022, hospitalizations associated with first COVID-19 diagnosis exceeded US$1 billion, with individuals with immunocompromising conditions contributing to US$310 million of these costs [ 32 ].

The societal impact of COVID-19 in individuals with immunocompromising conditions has also been evaluated, although the data are very limited. One study reported indirect costs for individuals with HIV in Vietnam during the pandemic. Of the 1243 individuals with HIV or on antiretroviral therapy, 14% lost their jobs and 20% reported a reduction in household income due to the pandemic [ 117 ].

Impact on Mental Health

Several studies have examined the impact of COVID-19 on mental health in individuals with solid tumors and hematologic malignancies during the pre-Omicron period (Table 4 ) [ 118 – 127 ]. In these studies, the impact of COVID-19 on mental health was assessed using a variety of patient-reported outcome (PRO) instruments.

Elevated levels of anxiety, depression, and distress were seen in individuals with cancer during the pre-Omicron period [ 118 , 119 , 127 ]. A cross-sectional study, investigating the mental health of individuals with advanced solid tumors during and after lockdown using the Brief Symptom Inventory instrument, observed that over one-third presented with clinically significant anxiety (36%) and depression (35%) [ 119 ]. However, another similar study, using the Hospital Anxiety and Depression Scale (HADS), found that depression, but not anxiety, was significantly reduced after lockdown [ 120 ]. A cross-sectional survey reported significantly worsened mental health in adolescents and young adults with cancer during the pandemic versus pre-pandemic times [ 122 ]. According to another study, the primary factor contributing to insomnia in these patients with cancer was found to be distress during the pandemic [ 126 ]. Additionally, a separate study revealed that approximately half of young adults with cancer experienced loneliness during this time [ 121 ]. Low to moderate levels of post-traumatic stress disorder (PTSD) were also experienced by most individuals with cancer during the pandemic [ 123 , 125 ]. Another cross-sectional survey evaluating mental health in individuals with cancer (95.5% vaccinated) revealed a mean score of 13.5 using the Fear of COVID-19 scale, suggesting relatively low concern about COVID-19, which was attributed to a positive attitude toward vaccination [ 124 ].

Several studies have reported mental health outcomes in solid organ transplant recipients receiving immunosuppressive therapy (Table 4 ). One study found that action competence (ability to plan and execute) was significantly worse in those with organ transplantation during the pandemic versus pre-pandemic, and versus the general population [ 128 ]. One study reported more pronounced risk-avoidance behavior and a higher perception of loneliness in solid organ transplant recipients compared with non-transplant individuals [ 129 ]. In general, most showed a good level of resilience [ 130 ].

Depression and anxiety scores in HSCT recipients, measured using HADS during the pandemic, were below the cut-offs for clinical symptoms, and were comparable to pre-pandemic levels [ 131 ]; additionally, PTSD, measured during the pandemic using the PTSD Checklist-Civilian Version, was similar to pre-pandemic levels. However, another study did report moderate depression and anxiety or stress in those with HSCT during the pandemic [ 132 ].

In individuals with HIV, studies reported a negative impact of COVID-19 on mental health, including distress, anxiety, and depression during the pandemic [ 117 , 133 ]. The mental health of individuals with CKD and those receiving dialysis worsened during the pandemic compared to pre-pandemic. These individuals with CKD experienced moderate to severe anxiety, mild insomnia/poor sleep, and abnormal depression [ 134 – 136 ]. Additional studies found that individuals using corticosteroids or immunosuppressive medications had moderate levels of stress, anxiety, and depression [ 137 – 139 ].

Research on the mental health status in individuals with immunocompromising conditions from the late pre-Omicron era to the present period has been very limited (Table 4 ). Amidst the emergence of the Omicron variant, as many as 40% of individuals with cancer reported heightened distress, even though most were fully vaccinated; younger age, feeling isolated, and more negative attitude toward staying at home were linked with COVID-19-related distress [ 140 ]. A study conducted among a German rehabilitation-stay population that received high-dose chemotherapy with HSCT reported lower anxiety symptoms during the pandemic versus pre-pandemic [ 141 ]. Additionally, it was found that resilience, measured using the Brief Resilient Coping Scale questionnaire, was enhanced by spirituality in Spanish patients with cancer during the pandemic [ 142 ]. Similarly, a separate study in Iran involving individuals with cancer undergoing chemotherapy revealed a positive association between spiritual well-being and resilience, as well as a negative correlation between spiritual well-being and anxiety related to COVID-19, indicating that spiritual well-being might have boosted individuals’ resilience against illness in the pandemic, while alleviating COVID-19-related anxiety [ 143 ].

Impact on HRQoL

HRQoL of individuals with hematologic malignancies and solid tumors has been assessed in multiple studies that used a range of PRO measures pre-Omicron (Table 5 ) [ 120 , 144 – 148 ].

Individuals with pancreatic cancer who contracted COVID-19 had a lower HRQoL [measured using the European Organisation for Research and Treatment of Cancer-Quality of Life Questionnaire-C30 (EORTC-QLQ-C30)] during versus pre-pandemic [ 145 ]. While in lockdown, individuals with gynecologic cancer exhibited lower HRQoL [12-item Short-Form Survey (SF-12) mental health scores] compared with after lockdown [ 120 ]; those with solid tumors and/or hematologic cancer had significantly higher scores on the mental component of the SF-12 HRQoL questionnaire, but significantly reduced scores on the physical component of SF-12 than the general population [ 149 ]. Another study, conducted in Denmark, found no significant difference in the EORTC-QLQ-C30 HRQoL scores between the pandemic and pre-pandemic periods among individuals with solid tumors ( N = 4571) [ 147 ]. This could be attributed to patients feeling secure as the entire Danish population was adhering to social-distancing measures and precautions were being implemented to reduce in-person hospital attendance.

In solid organ transplant recipients receiving immunotherapy, HRQoL worsened during the COVID-19 pandemic, or was lower compared to general control populations; physical and/or mental health were also worse in these individuals compared with pre-pandemic levels (Table 5 ) [ 130 , 150 – 152 ]. A prospective cohort study involving kidney transplant recipients showed a significant difference ( p = 0.04) in HRQoL before (EuroQol 5-dimensions score: 99.5 ± 0.75) versus after COVID-19 (95.6 ± 3.25); pain and anxiety/depression were the components that contributed most significantly to the total score differences regardless of COVID-19 severity [ 153 ]. A cross-sectional survey comparing HRQoL in patients with transplants with an age-matched UK population revealed that the health status of transplant recipients [health status index score: 0.75 (0.73–0.77)] was significantly poorer than the general population [Health Survey England score: 0.82 (0.81–0.83)] [ 130 ]. HRQoL and fatigue scores in those with HSCT during the pandemic were similar to pre-pandemic levels [ 131 ]. However, another study reported a general health score of 59.64 ± 20.04 in these individuals during the pandemic [ 132 ].

In individuals with HIV, HRQoL during the pandemic was worse compared with the pre-pandemic levels [ 154 ]. A cross-sectional study assessing sleep patterns in immunocompromised individuals (due to rheumatic disease, liver, kidney, and gastrointestinal conditions) during lockdown in Brazil found that they had poorer sleep quality, which was associated with increased screen time and intrafamilial violence compared to a control population [ 155 ].

Very few studies have explored the impact of COVID-19 on HRQoL in individuals with CKD (Table 5 ). HRQoL worsened during the pandemic in these individuals and in those receiving dialysis [ 135 ]. In a study conducted in the Netherlands, HRQoL measured using SF-12 in individuals undergoing dialysis showed that the physical component score significantly improved during the pandemic compared to pre-pandemic ( p = 0.02), while the mental component score remained unchanged [ 156 ].

Avoidance and Preventive Behavior

At the start of the pandemic, unprecedented interventions, “preventive behaviors,” and “isolation” were designed to protect individuals with immunocompromising conditions from COVID-19 [ 29 – 31 , 33 ]. Following these recommended behaviors led to poorer physical and mental health in the general population and in many high-risk individuals, because of limited access to healthcare or treatment delays (such as delays in surgery or radiotherapy, cancellation of doctor appointments or pharmacy visits) [ 34 , 157 , 158 ]. One study examined coping strategies used during preventive behaviors by lung, heart, liver, and kidney transplant recipients in the UK, and found that most showed good levels of resilience and acceptable HRQoL in general, although health status was lower than that in the pre-pandemic transplant cohort [ 130 ]. Compared to the general population, poorer self-perception of health status/utility was observed in these solid organ transplant recipients practicing avoidance and preventive behavior [ 130 ]. Moreover, a study conducted in Canada among people with HIV reported frequent adoption of preventive behaviors during the pandemic, while those with a prior history of COVID-19 before enrollment in the study were also more inclined to self-quarantine following potential exposure, even if asymptomatic (65% vs. 23%; p < 0.001; Chi-square test) [ 159 ]. Recent studies have shown detrimental effects of these practices on HRQoL, with increased feelings of isolation and feeling “left behind” as the general population returned to pre-pandemic living [ 160 , 161 ]. Even after the official declaration from WHO that COVID-19 is no longer classified a public health emergency, additional studies assessing HRQoL in this population remain important and will continue to emerge.

Conclusions

Studies showed that, overall, individuals with immunocompromising conditions had higher resource use compared to those without COVID-19 or the general population. Rates of hospitalization, ICU admission, and MV use were high in these individuals during the pre-Omicron era, and remained high during Omicron, despite vaccination. While HCRU decreased during Omicron compared to pre-Omicron, it remained elevated in this group compared to the general population, despite ongoing vaccination efforts. Based on the medical literature reviewed here, individuals with immunocompromising conditions, particularly those with cancers and solid organ transplants, exhibited the highest HCRU compared to other individuals with immunocompromising conditions described in this paper. Very few studies reported costs associated with COVID-19. Data on humanistic burden varied across studies and populations in the pre-Omicron era; only a limited number explored mental health status and HRQoL in the Omicron era. Overall, the mental health of individuals with different immunocompromising conditions worsened during the pandemic. Increased rates of depression, distress, or anxiety were seen in individuals with immunocompromising conditions during the pandemic versus pre-pandemic. HRQoL was also worse in individuals with different immunocompromising conditions who had COVID-19 compared to those without COVID-19 or the general population. Additionally, in studies comparing HRQoL during the pandemic versus pre-pandemic, HRQoL worsened in individuals with hematologic cancer, solid organ transplant, and those receiving active immunosuppressive treatments. Data on preventive behaviors, health state utilities (health status), and caregiver burden in this population were underreported in published literature. Although data on vaccination status were limited in the pre-Omicron period, it is well known that individuals with immunocompromising conditions have suboptimal responses to the COVID-19 vaccination, and thus are at increased risk of breakthrough infections and severe outcomes compared to the general population [ 162 ]. Overall, COVID-19 has, and likely continues to increase HCRU and costs, impairs mental health, and reduces HRQoL in individuals with different immunocompromising conditions compared to the general population. As such, the medical community continues to face challenges posed by COVID-19, especially in these individuals with immunocompromising conditions. Despite progress through vaccination, less potent variants, and ongoing adherence to preventive measures, mitigating the adverse effects of the SARS-CoV-2 virus remains a complex task. There remains a need to explore alternative strategies to prevent infection, limit its spread, and address the detrimental outcomes associated with this persistent health threat.

Suggestions for Future Research

Several studies have investigated HCRU in individuals with immunocompromising conditions over a longer term (follow-up of ≥ 4 weeks) but none aimed to identify the impact of long COVID-19 in this population [ 43 , 163 , 164 ]. Hence, robust studies are needed to evaluate its impact in different high-risk populations and settings. Most HCRU data reported here were ancillary endpoints within larger clinical studies, whereas hospitalizations, ICU admissions, and requirement for MV use were endpoints for clinical effectiveness. Numerous studies included in this review were conducted at single centers and had small sample sizes. Hence, real-world studies with large sample sizes that include a range of immunocompromising conditions and focus on HCRU and economic impact are needed. Overall, the quality of data varied, with studies differing in design and sample size, necessitating careful consideration of their relative impact. Considering the ongoing impact of COVID-19 on individuals with immunocompromising conditions, it is crucial to investigate the current mental health status and HRQoL in this patient population. Given that most of the studies described here are illustrative of the COVID-19 burden during the pre-Omicron era (Alpha and Delta variant period) and the start of the Omicron era, assessing the ongoing burden in vaccinated individuals with immunocompromising conditions who are still at risk is essential. Additionally, it is important to identify high-risk subgroups among immunocompromised individuals. Understanding the factors that make them more susceptible to severe infection will help implement targeted prevention and interventions. Novel strategies to optimize management and prevention of infection in these individuals should also be explored.

Supplementary Information

Below is the link to the electronic supplementary material.

Supplementary file1 (PDF 394 KB)

Acknowledgments

Medical Writing, Editorial, and Other Assistance

This study was funded by AstraZeneca. Medical writing support, which was in accordance with Good Publication Practice (GPP3) guidelines, was provided by Noopur Mandrekar, PhD, of Parexel and was funded by AstraZeneca.

Authorship

All authors met the International Committee of Medical Journal Editors (ICMJE) criteria for authorship for this article, take responsibility for the integrity of the work as a whole, and have given their approval for this version to be published.

Author Contributions

Conceptualization: all authors; Data curation: Christoph D Spinner, Samira Bell, Hermann Einsele, Cécile Tremblay, Michel Goldman, Zain Chagla, Axel Finckh, Christopher J Edwards, Igor Aurer, Odile Launay, Carolina Casañas i Comabella, Samantha James, Sabada Dube, Katarzyna Borkowska, Fungwe Jah, Walid Kandeil, Cécile Artaud, Jacques-Eric Gottenberg, Loreto Gesualdo, Dominique Bertrand, Sofie Arnetorp, Gkikas Magiorkinis; Formal analysis: Carolina Casañas i Comabella, Samantha James, Katarzyna Borkowska, Sofie Arnetorp; Funding acquisition: none; Investigation: none; Methodology: Carolina Casañas i Comabella, Samantha James, Katarzyna Borkowska, Renata T C Yokota, Sofie Arnetorp; Project administration: Carolina Casañas i Comabella, Samantha James, Sabada Dube, Katarzyna Borkowska, Fungwe Jah, Renata T C Yokota, Sofie Arnetorp; Resources: Sofie Arnetorp; Software: none; Supervision: Sofie Arnetorp; Validation: Carolina Casañas i Comabella, Samantha James, Katarzyna Borkowska; Visualization: Christoph D Spinner, Michel Goldman, Zain Chagla, Axel Finckh, Igor Aurer, Dominique Bertrand, Gkikas Magiorkinis; Writing – review & editing: all authors.

Funding

Open Access funding enabled and organized by Projekt DEAL. This manuscript and the journal’s rapid service and open access fees were funded by AstraZeneca.

Data Availability

Data sharing is not applicable to this review as no datasets were generated or analyzed during the current study.

Declarations

Conflict of Interest

Axel Finckh received consulting fees from AbbVie, AstraZeneca, Bristol Myers Squibb, Eli Lilly, MSD and Pfizer, payment or honoraria for lectures, presentations, speakers bureaus, manuscript writing or educational events from AbbVie, Bristol Myers Squibb, Eli Lilly, MSD and Pfizer, and grants or contracts from Bristol Myers Squibb, Eli Lilly, Galapagos and Pfizer. Cécile Tremblay received consulting fees from AbbVie, AstraZeneca, Gilead, GlaxoSmithKline, Medicago, Merck, Moderna, Novovax, and VIIV, payment or honoraria for lectures, presentations, speakers bureaus, manuscript writing or educational events from AstraZeneca, Gilead, GlaxoSmithKline, Merck, Moderna, Pfizer, and Sanofi, participation on a data safety monitoring board or advisory board for DalCor Pharmaceuticals, hespiridin, and Takeda Pharmaceuticals, and received grants or contracts from CIHR, Réseau FRQS SIDAMI, Gilead, Merck, and National Institutes of Health. Christoph D Spinner received grants, personal fees from AbbVie, AstraZeneca, BioNtech, Eli Lilly, GlaxoSmithKline, Formycon, Molecular partners, MSD, Pfizer, Roche, Shionogi, SOBI (during the conduct of the study) and Synairgen, personal fees and non-financial support from B. Braun Melsungen, grants, personal fees and non-financial support from Gilead Sciences, grants and personal fees from Janssen-Cilag, MSD, and ViiV Healthcare, outside the submitted work, other from Apeiron and Eli Lilly, and grants from Cepheid. Hermann Einsele has nothing to disclose. Christopher J Edwards received consulting fees from AbbVie, AstraZeneca, Gilead, GlaxoSmithKline, Eli Lilly, and AbbVie, payment or honoraria for lectures, presentations, speakers bureaus, manuscript writing or educational events from AbbVie, Bristol Myers Squibb, Eli Lilly, Galapagos, Gilead, GlaxoSmithKline, Pfizer, Roche, and Sandoz, received support for attending meetings and/or travel from Eli Lilly and is a Chair of EULAR Education Committee. Dominique Bertrand has nothing to disclose. Gkikas Magiorkinis received payment or honoraria from Gilead Sciences and Roche; support for attending meetings and/or travel from AstraZeneca, and participation on a data safety monitoring board or advisory board from AstraZeneca and GlaxoSmithKline. Igor Aurer received consulting fees, payment or honoraria, support for attending meetings/travel fees and participation on a data safety monitoring board or advisory board for AstraZeneca and Roche, chairman of KroHem—Croatian Cooperative Group for Hematologic Diseases, and board member of Croatian Society for Hematology. Jacques-Eric Gottenberg received consulting fees from AbbVie and AstraZeneca, and received grants or contracts from AbbVie, Eli Lilly, and Pfizer. Loreto Gesualdo received consulting fees from AstraZeneca, Baxter, Chinook, Estor, GlaxoSmithKline, Medtronic, Mundipharma, Novartis, Pharmadoc, Roche, Sandoz, Sanofi, and Travere, payment or honoraria for lectures, presentations, speakers bureaus, manuscript writing or educational events from Astellas, AstraZeneca, Estor, Fresenius, Novartis, Travere, and Werfen, received support for attending meetings and/or travel from Takeda Pharmaceuticals, participation on a data safety monitoring board or advisory board for AstraZeneca, Baxter, Chinook, Estor, GlaxoSmithKline, Medtronic, Mundipharma, Novartis, Pharmadoc, Roche, Sandoz, Sanofi, and Travere, and grants or contracts from Abionyx and Sanofi. Michel Goldman received consulting fees from AstraZeneca for Revive Committee, and leadership or fiduciary role in other board, society, committee or advocacy group, paid or unpaid from ABOLERIS company, Davos Alzheimer Collaboration, SANTERO company and Tuberculosis Vaccine Initiative. Odile Launay received consulting fees from AstraZeneca, GlaxoSmithKline, Moderna, MSD, Sanofi, and Sequirus, payment or honoraria for educational events from AstraZeneca, GlaxoSmithKline, and Sanofi, participation on a data safety monitoring board or advisory board for Sanofi, and received contracts from AstraZeneca to perform clinical trials. Samira Bell received consulting fees from AstraZeneca and GlaxoSmithKline, participation on a data safety monitoring board or advisory board for AstraZeneca, and received all support for the present manuscript from AstraZeneca. Zain Chagla received payment or honoraria for lectures, presentations, speakers bureaus, manuscript writing or educational events from AstraZeneca, Gilead, GlaxoSmithKline, Merck, Moderna, Pfizer, and Roche, and grants or contracts from Gilead, Merck, Pfizer, and Roche for research support. Carolina Casañas i Comabella, Samantha James, and Katarzyna Borkowska are employees of Evidera. Evidera received funding from AstraZeneca to conduct literature review supporting the manuscript content. Cécile Artaud, Fungwe Jah, Sabada Dube, and Sofie Arnetorp are employees of AstraZeneca and hold or may hold stock. Renata T C Yokota received consulting fees from AstraZeneca. Walid Kandeil was an employee of AstraZeneca at time of study, and holds or may hold stock.

Ethical Approval

This article is based on previously conducted studies and does not contain any new studies with human participants or animals performed by any of the authors.

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Associated Data

Supplementary Materials

Supplementary file1 (PDF 394 KB)

Data Availability Statement

Data sharing is not applicable to this review as no datasets were generated or analyzed during the current study.

ИП Урсолов Владлен Сергеевич

ИНН 500118482352 · ОГРНИП 314500117700049

Реквизиты и контакты