Introduction
Patient-reported outcome measures (PROM) were developed as a method to ascertain and quantitate patients' views of their symptoms, their functional status, and their health-related quality of life (HRQoL) [ 1 ]. Patients' reports are the best available and the most reliable and valid method for obtaining information on unobservable events such as pain and fatigue. The PROM provides unique information on a patient's perception of both the disease and the management of the disease that could not be collected in any other way [ 2 , 3 ].
Gaucher disease (GD), one of the two most common inherited lysosomal storage disorders, is known for its phenotypic heterogeneity [ 4 , 5 ]. Patients with type 1 GD (GD1) may present with significant clinical features such as hepatosplenomegaly, thrombocytopenia, anemia, fatigue, and bone disease, whereas other patients with GD1 may be very mildly affected or even asymptomatic [ 6 ]. With the introduction of disease-specific therapy for patients with GD1 in the form of enzyme replacement therapy (ERT) and substrate reduction therapy (SRT), the wellbeing of patients with GD1 has largely improved, but not without significant cost to the patient and society [ 7 , 8 ]. Using PROM to understand the health status and treatment effects of patients with GD1 in the current era is an important step towards improving patient care [ 9 ].
In the past, PROM in patients with GD used non-disease specific tools, such as the Short-Form-36 and Brief Pain InventoryEuroQoL-5D, with limited responsiveness of PROM to small differences between groups of disease phenotype [ 10 ]. Recently, a GD1-specific PROM (GD1-PROM) was developed with input from patients, which included 15 questions; six Point Verbal Response Scale regarding the last month and nine Visual Analogue Scales (VAS) from 0 to 10 regarding the previous week. This study is the first to report PROM and predictors for PROM in a large cohort of patients with GD1 using a mobile version of GD1-PROM.
Methods
The GD1-PROM was developed by Shire/Takeda based on the input of adult patients with GD and of worldwide physicians managing patients with GD. Content validity of the GD1-PROM was completed, including rounds of combined concept elicitation and concept debriefing interviews. The GD1-PROM was developed specifically for patients with GD1 and was validated in patients with GD1. A certified Hebrew-translated version of GD1-PROM was provided to us by the developers (Shire/Takeda) [ 11 ]. A Google Docs-based survey, constructed from the items of the GD1-PROM, was sent via mobile SMS notice to 405 adult patients (age ≥ 18 years) with GD1 who had visited the Gaucher Unit at Shaare Zedek Medical Center (SZMC) at least once in the previous 2 years and who had a mobile device. The study design was approved by the SZMC IRB. An IRB waiver was received for signing a full-length informed consent. In the SMS notice, there was an explanation regarding the PROM, and if interested in proceeding, patients were prompted to insert their ID number before answering the PROM. Only responses with IDs were collected for this report. The IRB approved the publication of the anonymous data.
Demographics, clinical data, and treatment status were extracted from clinic charts. Based on the definition of "generation" we categorized five age groups (18–25, 26–43, 44–55, 56–73, 74 and older) [ 12 ]. Untreated patients were defined as patients who had never received any specific GD- treatment (ERT or SRT). The severity scoring index (SSI) at the time of presentation was calculated [ 13 ]. In our unit, levels of lyso-Gb1 are done routinely at each clinic visit. The levels drawn in the clinic visit closest to the date of answering the PROM were collected from the clinic charts.
Statistical analysis
Results are presented as median and range. T-test and Mann–Whitney were used to compare normally distributed and non-parametric continuous data in independent samples, respectively. A Chi-square test was used to compare categorical data. Proportional odds logistics regression was used to analyze the Likert scale data. The variables included in the analysis were age, gender, SSI at the time of presentation, recent lyso-Gb1 levels and treatment status. Since multi-comparisons were done, results were considered to be statistically significant when two-tailed p-values were ≤ 0.01.
Results
A total of 192 (47.4%) active adult patients with GD1 responded to the mobile phone survey (Table 1 ). Two-thirds of the patients were homozygous for the c.1226A>G (N370S) mutation. A third of patients followed in the Gaucher unit never received GD specific therapy. Those untreated patients were mainly homozygous for the c.1226A>G (N370S) mutation, diagnosed at an older age, and had a lower SSI (Table 1 ). The age, sex, SSI, and homozygosity to the c.1226A>G (N370S) mutation of those that responded (study cohort) were similar to the entire SZMC database. Table 1 Characterization of adults' patients with Gaucher disease type 1 in our unit and in the study cohort SZMC unit b Study cohort Total Untreated Treated p value* Number – 192 68 124 Age, years a Untreated 45 (22–83) Treated 49 (19–91) 48 (20–91) 47 (20–76) 49.5 (22–91) NS Female Untreated 61% Treated 54% 111 (57.8%) 43 (62.3%) 68 (54.8%) NS Severity score index a Untreated 2 (0–13) Treated 7 (1–25) 5 (0–25) 2 (0–13) 7 (2–25) < 0.0001 Homozygosity to the c.1226A>G (N370S) mutation Untreated 80% Treated 62% 133 (69.3%) 57 (83.8%) 75 (60.5%) 0.001 * Comparing treated and untreated patients in study cohort a Median(range) b Data were extracted from the SZMC database
Table 1
Characterization of adults' patients with Gaucher disease type 1 in our unit and in the study cohort
* Comparing treated and untreated patients in study cohort a Median(range) b Data were extracted from the SZMC database
| SZMC unit b | Study cohort | ||||
| Total | Untreated | Treated | p value* | ||
| Number | – | 192 | 68 | 124 | |
| Age, years a | Untreated 45 (22–83) Treated 49 (19–91) | 48 (20–91) | 47 (20–76) | 49.5 (22–91) | NS |
| Female | Untreated 61% Treated 54% | 111 (57.8%) | 43 (62.3%) | 68 (54.8%) | NS |
| Severity score index a | Untreated 2 (0–13) Treated 7 (1–25) | 5 (0–25) | 2 (0–13) | 7 (2–25) | < 0.0001 |
| Homozygosity to the c.1226A>G (N370S) mutation | Untreated 80% Treated 62% | 133 (69.3%) | 57 (83.8%) | 75 (60.5%) | 0.001 |
The responses to the Likert scale questions regarding the previous month are presented in Table 2 . The responses to six questions were significantly different between treated and untreated patients (Table 2 ). Almost all of the untreated patients reported that the GD did not restrict their education/job and fun activities, whereas 25%–30% of treated patients reported that the GD did restrict their education/job and fun activities a little or some of the time. Untreated patients were significantly less concerned about being at risk for bone disease and of GD-related medical issues compared to treated patients. Table 2 Responses on the Likert scale questions over the past month in patients receiving Gaucher-disease specific therapy (Yes) and in untreated patients (No) Questions None of the time A little of the time Some of the time Most of the time All of the time p value* Treatment status Yes No Yes No Yes No Yes No Yes No 1. My GD has restricted my education/job 80 (67%) 64 (94%) 17 (14%) 4 (6%) 19 (16%) 0 3 (2.5%) 0 1 (0.5%) 0 0.002 2. My GD has restricted fun activities with friends 94 (76%) 66 (97%) 14 (11%) 2 (3%) 12 (10%) 0 2 (1.5%) 0 1 (0.5%) 0 0.002 3. My GD has restricted my ability to have intimate relationships with my spouse/partner 94 (90%) 61 (100%) 6 (6.5%) 0 4 (2%) 0 0 0 0 0 0.001 4. My GD has restricted my ability to take part in hobbies and leisure activities 88 (71%) 61 (90%) 17 (14%) 4 (6%) 12 (10%) 3 (4%) 4 (3%) 0 2 (2%) 0 0.013 5. I have been concerned that I am an emotional burden to others because of my GD 94 (77%) 64 (95.5%) 13 (11%) 3 (4.5%) 10 (7.5%) 0 3 (2.5%) 0 2 (2%) 0 0.016 6. Because of my GD, I am concerned I will be at risk of bone disease 35 (28.5%) 38 (56%) 31 (25%) 16 (23.5%) 39 (32%) 13 (19%) 10 (8%) 0 8 (6.5%) 1 (1.5%) 0.007 7. Because of my GD, I am concerned I will be at risk of cancers 78 (65%) 49 (73%) 19 (16%) 10 (15%) 21 (17.5%) 7 (10.5%) 0 0 2 (1.5%) 1 (1.5%) 0.3 8. Because of my GD, I am concerned I will be at risk of Parkinson 43 (36%) 40 (59%) 25 (21%) 15 (22%) 46 (38%) 11 (16%) 3 (2.5%) 1 (1.5%) 3 (2.5%) 1 (1.5%) 0.1 9. Because of my GD, I am concerned I will be a financial burden 62 (50.5%) 48 (72%) 28 (23%) 11 (16%) 23 (19%) 8 (12%) 3 (2.5%) 0 6 (5%) 0 0.06 10. I am concerned I will not get the best therapy because of budget issues 72 (60%) 36 (54.5%) 23 (19.5%) 19 (29%) 16 (13%) 7 (10.5%) 6 (5%) 3 (4.5%) 3 (2.5%) 1 (1.5%) 0.9 11. I am concerned I may not have an expert physician for advice in the future 55 (45%) 32 (47%) 28 (23%) 19 (27.5%) 30 (24%) 12 (18%) 6 (5%) 4 (6%) 4 (3%) 1 (1.5%) 0.3 12. My non-Gaucher problems are more concerning than the Gaucher concerns 9 (7.5%) 5 (8%) 12 (10%) 7 (11%) 46 (38.5%) 19 (29%) 39 (33%) 17 (26%) 13 (11%) 17 (26%) 0.05 Strongly agree Agree Neither/nor agree Disagree Strongly disagree 13. My health in general has improved because of my Gaucher-specific medication 23 (25.5%) NA 23 (25.5%) NA 16 (18%) NA 28 (31%) NA 0 NA NA 14. Over the past month, all of my medical concerns have been Gaucher-related 5 (4%) 1 (1.5%) 11 (9%) 2 (3%) 15 (12.5%) 2 (3%) 53 (43.5%) 19 (28%) 38 (31%) 44 (64.5%) 0.002 15. My current medication has treated my Gaucher-specific concerns 41 (34%) 3 (5%) 31 (26%) 0 11 (9%) 3 (5%) 18 (15%) 10 (16%) 19 (16%) 46 (74%) NA GD Gaucher disease, NA not applicable * Proportional Odds logistic regression adjusted for age, gender and severity score index
Table 2
Responses on the Likert scale questions over the past month in patients receiving Gaucher-disease specific therapy (Yes) and in untreated patients (No)
GD Gaucher disease, NA not applicable * Proportional Odds logistic regression adjusted for age, gender and severity score index
| Questions | None of the time | A little of the time | Some of the time | Most of the time | All of the time | p value* | |||||
| Treatment status | Yes | No | Yes | No | Yes | No | Yes | No | Yes | No | |
| 1. My GD has restricted my education/job | 80 (67%) | 64 (94%) | 17 (14%) | 4 (6%) | 19 (16%) | 0 | 3 (2.5%) | 0 | 1 (0.5%) | 0 | 0.002 |
| 2. My GD has restricted fun activities with friends | 94 (76%) | 66 (97%) | 14 (11%) | 2 (3%) | 12 (10%) | 0 | 2 (1.5%) | 0 | 1 (0.5%) | 0 | 0.002 |
| 3. My GD has restricted my ability to have intimate relationships with my spouse/partner | 94 (90%) | 61 (100%) | 6 (6.5%) | 0 | 4 (2%) | 0 | 0 | 0 | 0 | 0 | 0.001 |
| 4. My GD has restricted my ability to take part in hobbies and leisure activities | 88 (71%) | 61 (90%) | 17 (14%) | 4 (6%) | 12 (10%) | 3 (4%) | 4 (3%) | 0 | 2 (2%) | 0 | 0.013 |
| 5. I have been concerned that I am an emotional burden to others because of my GD | 94 (77%) | 64 (95.5%) | 13 (11%) | 3 (4.5%) | 10 (7.5%) | 0 | 3 (2.5%) | 0 | 2 (2%) | 0 | 0.016 |
| 6. Because of my GD, I am concerned I will be at risk of bone disease | 35 (28.5%) | 38 (56%) | 31 (25%) | 16 (23.5%) | 39 (32%) | 13 (19%) | 10 (8%) | 0 | 8 (6.5%) | 1 (1.5%) | 0.007 |
| 7. Because of my GD, I am concerned I will be at risk of cancers | 78 (65%) | 49 (73%) | 19 (16%) | 10 (15%) | 21 (17.5%) | 7 (10.5%) | 0 | 0 | 2 (1.5%) | 1 (1.5%) | 0.3 |
| 8. Because of my GD, I am concerned I will be at risk of Parkinson | 43 (36%) | 40 (59%) | 25 (21%) | 15 (22%) | 46 (38%) | 11 (16%) | 3 (2.5%) | 1 (1.5%) | 3 (2.5%) | 1 (1.5%) | 0.1 |
| 9. Because of my GD, I am concerned I will be a financial burden | 62 (50.5%) | 48 (72%) | 28 (23%) | 11 (16%) | 23 (19%) | 8 (12%) | 3 (2.5%) | 0 | 6 (5%) | 0 | 0.06 |
| 10. I am concerned I will not get the best therapy because of budget issues | 72 (60%) | 36 (54.5%) | 23 (19.5%) | 19 (29%) | 16 (13%) | 7 (10.5%) | 6 (5%) | 3 (4.5%) | 3 (2.5%) | 1 (1.5%) | 0.9 |
| 11. I am concerned I may not have an expert physician for advice in the future | 55 (45%) | 32 (47%) | 28 (23%) | 19 (27.5%) | 30 (24%) | 12 (18%) | 6 (5%) | 4 (6%) | 4 (3%) | 1 (1.5%) | 0.3 |
| 12. My non-Gaucher problems are more concerning than the Gaucher concerns | 9 (7.5%) | 5 (8%) | 12 (10%) | 7 (11%) | 46 (38.5%) | 19 (29%) | 39 (33%) | 17 (26%) | 13 (11%) | 17 (26%) | 0.05 |
| Strongly agree | Agree | Neither/nor agree | Disagree | Strongly disagree | |||||||
| 13. My health in general has improved because of my Gaucher-specific medication | 23 (25.5%) | NA | 23 (25.5%) | NA | 16 (18%) | NA | 28 (31%) | NA | 0 | NA | NA |
| 14. Over the past month, all of my medical concerns have been Gaucher-related | 5 (4%) | 1 (1.5%) | 11 (9%) | 2 (3%) | 15 (12.5%) | 2 (3%) | 53 (43.5%) | 19 (28%) | 38 (31%) | 44 (64.5%) | 0.002 |
| 15. My current medication has treated my Gaucher-specific concerns | 41 (34%) | 3 (5%) | 31 (26%) | 0 | 11 (9%) | 3 (5%) | 18 (15%) | 10 (16%) | 19 (16%) | 46 (74%) | NA |
In the multivariate ordinal model, women were significantly more concerned about the risk of developing cancer (Fig. 1 a, p = 0.001), higher SSI was associated with concern for the risk of developing Parkinson disease (Fig. 1 b, p = 0.002) and younger age was associated with less concern from their GD (Fig. 1 c, p < 0.001). Age categories per generation were associated with restrictions in fun activities with friends and the ability to take part in hobbies and leisure activities (Fig. 2 ). Sex and lyso-Gb1 levels were not associated with the responses on the Likert scale questions. Fig. 1 Significant associations between the responses on the Likert scale questions and patients' characteristics, i.e., sex, severity score index (SSI) at presentation and age. a The responses of women and men regarding the concern of the risk of cancers, b The distribution of the SSI of patients responding to their concern for the risk of developing Parkinson disease, c The distribution of the age of patients responding to the question on non-Gaucher problems compared to the Gaucher concerns Fig. 2 Significant associations between the responses on the Likert scale questions and the five age groups defined by "generation" (ref 12). Gen Z: 18–25 years, Gen Y: 26–43 years, Gen X: 44–55 years, Baby Boomers: 56–73 years, Traditionalists/ Silent Generation: 74 years and older


The responses to the eight VAS questions over the past week are presented in Table 3 . The median (range) total VAS score was 1.6 (1–8.01). Patients receiving GD-specific therapy responded as less satisfied (higher mean and 95% CI for the mean) to all questions, except depression (question 6) (Table 3 ). The SSI at presentation was associated with fatigue, physical weakness, bone pain and the way patients felt regarding their future (Fig. 3 ). Sex age and lyso-Gb1 levels were not associated with responses to the eight VAS questions. Table 3 Visual analogue scale (0–10) responses over the past week of patients with type I Gaucher disease All Untreated group Received GD-specific therapy p value** 1. Dependent on others because of your Gaucher disease? 1.31 (1.2–1.4) 1.09 (0.9–1.28) 1.45 (1.23–1.68) 0.001 2. Visibly big or swollen abdomen because of your Gaucher disease? 2.05 (1.8–2.3) 1.70 (1.29–2.12) 2.18 (1.85–2.52) 0.06 3. Fatigued because of your Gaucher disease? 2.88 (2.5–3.2) 1.69 (1.37–2.00) 3.59 (3.09–4.08) < 0.001 4. Physically weak because of your Gaucher disease? 2.73 (2.4–3.1) 1.70 (1.38–2.03) 3.39 (2.95–3.83) < 0.001 5. Severity of bone pain because of your Gaucher disease? 2.40 (2.1–2.7) 1.57 (1.26–1.89) 2.88 (2.41–3.36) < 0.001 6. Depressed because of your Gaucher disease? 1.62 (1.4–1.8) 1.35 (1.14–1.56) 1.80 (1.48–2.12) 0.18 7. Worried because of your Gaucher disease? 2.01 (1.7–2.3) 1.39 (1.17–1.60) 2.39 (1.99–2.78) 0.001 8. How have you felt about your future with Gaucher disease? 2.47 (2.2–2.8) 1.57 (1.28–1.87) 2.98 (2.55–3.41) < 0.001 * Mean (95% confidence interval for the mean), ** Non-parametric independent samples Mann–Whitney test Fig. 3 Significant association between the severity score index (SSI) and the responses on visual analogue scale (VAS) on the questions on a fatigue, b physical weakness, c severity of bone pain and d the way patients felt regarding their future
Table 3
Visual analogue scale (0–10) responses over the past week of patients with type I Gaucher disease
* Mean (95% confidence interval for the mean), ** Non-parametric independent samples Mann–Whitney test
| All | Untreated group | Received GD-specific therapy | p value** | |
| 1. Dependent on others because of your Gaucher disease? | 1.31 (1.2–1.4) | 1.09 (0.9–1.28) | 1.45 (1.23–1.68) | 0.001 |
| 2. Visibly big or swollen abdomen because of your Gaucher disease? | 2.05 (1.8–2.3) | 1.70 (1.29–2.12) | 2.18 (1.85–2.52) | 0.06 |
| 3. Fatigued because of your Gaucher disease? | 2.88 (2.5–3.2) | 1.69 (1.37–2.00) | 3.59 (3.09–4.08) | < 0.001 |
| 4. Physically weak because of your Gaucher disease? | 2.73 (2.4–3.1) | 1.70 (1.38–2.03) | 3.39 (2.95–3.83) | < 0.001 |
| 5. Severity of bone pain because of your Gaucher disease? | 2.40 (2.1–2.7) | 1.57 (1.26–1.89) | 2.88 (2.41–3.36) | < 0.001 |
| 6. Depressed because of your Gaucher disease? | 1.62 (1.4–1.8) | 1.35 (1.14–1.56) | 1.80 (1.48–2.12) | 0.18 |
| 7. Worried because of your Gaucher disease? | 2.01 (1.7–2.3) | 1.39 (1.17–1.60) | 2.39 (1.99–2.78) | 0.001 |
| 8. How have you felt about your future with Gaucher disease? | 2.47 (2.2–2.8) | 1.57 (1.28–1.87) | 2.98 (2.55–3.41) | < 0.001 |

The last VAS question reflects general satisfaction with the Gaucher medical treatment over the previous month. The mean (95% CI for the mean) of the entire cohort was 2.1 (1.8–2.4). The question was less relevant for the untreated cohort and was not associated with age, sex, SSI at presentation and recent lyso-Gb1 levels.
Discussion
Our study is the first to show the PROM of a large cohort of patients with GD1 who were followed up regularly in a Gaucher Unit. Most patients reported that having GD did not restrict their education, job, intimate relations, hobbies or leisure activities and were not concerned about being an emotional burden to others because of their GD. Similarly, most patients' total VAS scores were low (median 1.6 from a maximum of 10). Still, a substantial group of patients reported that the GD affected their HRQoL, and future research is needed to find ways to improve their outcome. The lack of correlation between PROM and lyso-Gb1 reflects the importance of subjective PROM over an objective measurement of disease status.
The large cohort in our study enabled us to find predictors for the different PROM. The strongest predictor for good PROM was patients being untreated. This finding most probably results from the fact that the patients we choose not to treat are asymptomatic or mildly affected [ 6 , 14 ], and thus their HRQoL is good. More restricted HRQoL among treated patients is most probably related to the baseline severity of the disease. Some of the patients had already suffered from irreversible complications, particularly skeletal, that could not be expected to improve significantly by treatment. Nevertheless, one cannot exclude the possibility that the therapy itself, particularly bi-weekly intravenous ERT, is the more unsatisfactory outcome. The sample size and the variety of treatments do not allow us to compare the effect of oral SRT with intravenous ERT on PROM [ 15 ].
An increased risk of the development of Parkinson disease exists in patients with GD and carriers of mutations in GBA1 . There is considerable clinical variation; some patients have early-onset and prominent cognitive changes while others have a later onset and slower course [ 16 – 18 ]. The risk of Parkinson disease is increased both in patients who are c.1226A>G (N370S) homozygote and compound heterozygotes [ 19 ]; thus, it is not clear why patients with milder GD phenotype (that was found to be associated with c.1226A>G (N370S) homozygosity) were less concerned about the risk of Parkinson disease. Whether it is a lack of knowledge, misunderstanding, or the wrong perception of being healthy requires evaluation in future studies.
The only predictor of concern for the risk of cancer was female sex, as has also been shown in the general population [ 20 ]. Interestingly, although patients with GD have a somewhat increased risk of cancer, mainly multiple myeloma, almost two-thirds reported a lack of concern about the risk of cancer [ 21 – 24 ]. The risk of multiple myeloma and hepatocellular carcinoma (the second cancer type associated with GD) may decrease with the introduction of GD-specific therapy [ 25 ], and with the lower rate of splenectomy and hepatic fibrosis [ 26 ]. It has been recommended that all adult patients would be assessed for signs and symptoms of cancer as part of their routine follow-up visits [ 14 ].
Improving patient general wellbeing, mainly by reducing fatigue and restoring physical function, are included in the most recent consensus management goals of patients with GD [ 9 ]. Nevertheless, patients with higher SSI at presentation, although treated with GD-specific therapy, reported a relatively high score (median > 3) in both the fatigue and physical activity questions and also reported dissatisfaction with their current Gaucher medical treatment. The cause of ongoing, significant fatigue in patients with GD is not clear [ 27 ]. As endoplasmic reticulum (ER) stress could be an underlying mechanism [ 28 , 29 ], pharmacological chaperones may have a role for reducing fatigue, and this may be uncovered by present and future studies [ 30 ]. The inflammatory changes that are not related to ER stress, and are not derived by inflammatory cytokines excreted by activated macrophages (the Gaucher cells) may require innovative therapeutic modalities, as has been suggested by several investigators [ 28 ]. One potential target might be the complement system, specifically the C5a/C5aR1 axis in GL1-specific autoantibody formation. Another one might be progranulin, as the low levels, commonly found among patients with GD, do not change with ERT and might induce some of the disease features [ 31 ].
Our study supports the advantage of electronic and mobile PROM surveys for simple quantitation of individual symptom items and aggregated scales, standardization, and longitudinal tracking of patient surveys for trend analysis over time [ 32 ]. Online PROM surveys were shown to achieve a significantly higher response rate, 40%–50%, compared to paper-based versions [ 33 ]. The use of mobile devices to communicate with the patients further simplified our study and increased the response rate [ 34 ]. The feasibility of pairing mobile devices with wearable technologies that can monitor surrogates of disease activity/severity could further improve our patients' management by highlighting personal problems that are not captured by the traditional parameters of physical signs, laboratory parameters, and imaging findings [ 31 ].
The study is limited by the fact that only 47% of adult patients with GD1 responded to the mobile PROM survey. We believe that not answering the survey was a combination of a lack of access to resources and engagement. Unfortunately, since we could include clinical data of only those consented, we could not compare those that answered to those that did not answer. Still, we were able to show that the age, sex, SSI, and homozygosity to the c.1226A>G (N370S) mutation of those that responded (study cohort) were similar to the entire SZMC database. A second limitation may relate to the fact that some of the questions are not specific to GD and may reflect sex and age group differences, as seen for the question on concern about cancer and effect on fun, hobbies, and leisure activities (Figs. 1 a, 2 ).
Conclusion
As is already known in other diseases, disease-specific PROMs are an important subjective tool for patient's evaluation and should be complementary to the objective assessment. Our study confirms that asymptomatic or mildly affected untreated patients with GD1 have good functional status and HRQoL, supporting our practice that not all patients with GD1 require specific therapy. Despite many years of available effective treatment for GD1, patients followed in our GD center report measures that may affect their functional status and HRQoL. Further work is needed to find effective interventions for such undesired measures. Electronic validated GD1-PROM, possibly via user-friendly GD-specific mobile applications, should be included among the outcome measures in clinical practice and all future prospective studies for GD.
Abbreviations
Enzyme replacement therapy
Gaucher disease
Gaucher disease type 1
Health related quality of life
Patient-reported outcome measures
Severity score index
Shaare Zedek Medical Center
Publisher's Note
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Acknowledgements
We thank Dr. Deborah Elstein for developing the GD-specific PROM survey and for her input to this research.
Authors’ contributions
Conceptualization, TD, AZ and SR-V; Data curation, TD, MI, DF and MB-C; Formal analysis, AZ and SR-V; Methodology, SR-V; Supervision, AZ; Validation, JS; Writing—original draft, SR-V; Writing—review and editing, TD, MI, MB-C, JS and AZ. All authors read and approved the final manuscript.
Funding
The study was funded by Gaucher Unit internal funds. No external funds were provided for this study.
Availability of data and materials
The datasets during and/or analysed during the current study available from the corresponding author on reasonable request.
Ethics approval and consent to participate
The study design was approved by institutional IRB and study participants consented to participate. IRB institutional number: 0006-20-SZMC.
Consent for publication
Not applicable.
Competing interests
The SZMC Gaucher Unit receives support from Sanofi/Genzyme for participation in the ICGG Registry, from Takeda for the GOS Registry, and Pfizer for TALIAS. The Unit also receives research grants from Takeda, Pfizer, Sanofi/Genzyme and Centogene. J.S. has received grant/research support and honoraria from Alexion, Amgen, Celgene, Merck Sharp & Dohme, Novartis, Pfizer, Prevail Therapeutics, Sanofi, and Takeda. A.Z. receives honoraria from Takeda and Pfizer and consultancy fee from Takeda, Prevail therapeutics and Bio-Events. S.R.-V. receives grant/research support, honoraria and advisory fee from Takeda, Pfizer, Sanofi/Genzyme and Prevail therapeutics.
References
1. Slade A Isa F Kyte D Pankhurst T Kerecuk L Ferguson J Lipkin G Calvert M Patient reported outcome measures in rare diseases: a narrative review Orphanet J Rare Dis 2018 13 1 61 10.1186/s13023-018-0810-x 29688860 PMC5914068
2. Snyder CF Aaronson NK Use of patient-reported outcomes in clinical practice Lancet 2009 374 9687 369 370 10.1016/S0140-6736(09)61400-8 19647598
3. Black N Patient reported outcome measures could help transform healthcare Br Med J 2013 346 f167 10.1136/bmj.f167 23358487
4. Zimran A Belmatoug N Bembi B Deegan P Elstein D Fernandez-Sasso D Giraldo P Goker-Alpan O Lau H Lukina E Demographics and patient characteristics of 1209 patients with Gaucher disease: descriptive analysis from the Gaucher Outcome Survey (GOS) Am J Hematol 2018 93 2 205 212 10.1002/ajh.24957 29090476 PMC5814927
5. Zimran A Elstein D Lichtman M Beutler E Kipps TJ Seligsohn U Prchal J Gaucher disease and related lysosomal storage diseases Williams' Hematology 2016 72 New-York McGraw-Hill
6. Dinur T Zimran A Becker-Cohen M Arkadir D Cozma C Hovakimyan M Oppermann S Demuth L Rolfs A Revel-Vilk S Long Term follow-up of 103 untreated adult patients with type 1 gaucher disease J Clin Med 2019 8 10 10.3390/jcm8101662 PMC6832634 31614613
7. Gary SE Ryan E Steward AM Sidransky E Recent advances in the diagnosis and management of Gaucher disease Expert Rev Endocrinol Metab 2018 13 2 107 118 10.1080/17446651.2018.1445524 30058864 PMC6129380
8. Beutler E Economic malpractice in the treatment of Gaucher's disease Am J Med 1994 97 1 1 2 10.1016/0002-9343(94)90041-8 8030649
9. Biegstraaten M Cox TM Belmatoug N Berger MG Collin-Histed T Vom Dahl S Di Rocco M Fraga C Giona F Giraldo P Management goals for type 1 Gaucher disease: an expert consensus document from the European working group on Gaucher disease Blood Cells Mol Dis 2018 68 203 208 10.1016/j.bcmd.2016.10.008 28274788
10. Johnston BC Miller PA Agarwal A Mulla S Khokhar R De Oliveira K Hitchcock CL Sadeghirad B Mohiuddin M Sekercioglu N Limited responsiveness related to the minimal important difference of patient-reported outcomes in rare diseases J Clin Epidemiol 2016 79 10 21 10.1016/j.jclinepi.2016.06.010 27381737
11. Elstein D Klemen M Panter C Bonner N Johnson C Zimran A Gaucher disease (GD)-specific patient-reported outcome (PRO) measures for clinical monitoring and for clinical trials Mol Genet Metab 2019 126 2 126 10.1016/j.ymgme.2018.12.117
12. Generational breakdown: info about all of the generations. https://genhq.com/FAQ-info-about-generations/ .
13. Zimran A Sorge J Gross E Kubitz M West C Beutler E Prediction of severity of Gaucher's disease by identification of mutations at DNA level Lancet 1989 2 8659 349 352 10.1016/S0140-6736(89)90536-9 2569551
14. Revel-Vilk S Szer J Mehta A Zimran A How we manage Gaucher Disease in the era of choices Br J Haematol 2018 182 4 467 480 10.1111/bjh.15402 29808905
15. Wagner VF Northrup H Hashmi SS Nguyen JM Koenig MK Davis JM Attitudes of Individuals with Gaucher Disease toward Substrate Reduction Therapies J Genet Couns 2018 27 1 169 176 10.1007/s10897-017-0137-0 28803392 PMC5794801
16. Lopez G Kim J Wiggs E Cintron D Groden C Tayebi N Mistry PK Pastores GM Zimran A Goker-Alpan O Clinical course and prognosis in patients with Gaucher disease and parkinsonism Neurol Genet 2016 2 2 e57 10.1212/NXG.0000000000000057 27123476 PMC4830189
17. Aflaki E Westbroek W Sidransky E The Complicated relationship between Gaucher disease and parkinsonism: insights from a rare disease Neuron 2017 93 4 737 746 10.1016/j.neuron.2017.01.018 28231462 PMC5327952
18. Alcalay RN Dinur T Quinn T Sakanaka K Levy O Waters C Fahn S Dorovski T Chung WK Pauciulo M Comparison of Parkinson risk in Ashkenazi Jewish patients with Gaucher disease and GBA heterozygotes JAMA Neurol 2014 71 6 752 757 10.1001/jamaneurol.2014.313 24756352 PMC4082726
19. Chetrit EB Alcalay RN Steiner-Birmanns B Altarescu G Phillips M Elstein D Zimran A Phenotype in patients with Gaucher disease and Parkinson disease Blood Cells Mol Dis 2013 50 3 218 221 10.1016/j.bcmd.2012.11.011 23265741
20. McQueen A Vernon SW Meissner HI Rakowski W Risk perceptions and worry about cancer: does gender make a difference? J Health Commun 2008 13 1 56 79 10.1080/10810730701807076 18307136
21. Zimran A Liphshitz I Barchana M Abrahamov A Elstein D Incidence of malignancies among patients with type I Gaucher disease from a single referral clinic Blood Cells Mol Dis 2005 34 3 197 200 10.1016/j.bcmd.2005.03.004 15885601
22. Rosenbloom BE Weinreb NJ Zimran A Kacena KA Charrow J Ward E Gaucher disease and cancer incidence: a study from the Gaucher Registry Blood 2005 105 12 4569 4572 10.1182/blood-2004-12-4672 15718419
23. Arends M van Dussen L Biegstraaten M Hollak CE Malignancies and monoclonal gammopathy in Gaucher disease; a systematic review of the literature Br J Haematol 2013 161 6 832 842 10.1111/bjh.12335 23594419
24. Weinreb NJ Mistry PK Rosenbloom BE Dhodapkar MV MGUS, lymphoplasmacytic malignancies, and Gaucher disease: the significance of the clinical association Blood 2018 131 22 2500 2501 10.1182/blood-2018-02-834689 29650800 PMC5981170
25. Martinez-Redondo C Ortuno FJ Lozano ML Jerez A del Mar OM Giraldo P Vicente V IgM monoclonal component associated with type I Gaucher disease resolved after enzyme replacement therapy: a case report J Inherit Metab Dis 2009 32 Suppl 1 S265 267 10.1007/s10545-009-1207-8 19562501
26. Regenboog M van Dussen L Verheij J Weinreb NJ Santosa D Vom Dahl S Haussinger D Muller MN Canbay A Rigoldi M Hepatocellular carcinoma in Gaucher disease: an international case series J Inherit Metab Dis 2018 41 5 819 827 10.1007/s10545-018-0142-y 29423829 PMC6133179
27. Zion YC Pappadopulos E Wajnrajch M Rosenbaum H Rethinking fatigue in Gaucher disease Orphanet J Rare Dis 2016 11 1 53 10.1186/s13023-016-0435-x 27129405 PMC4850725
28. Pandey MK Grabowski GA Kohl J An unexpected player in Gaucher disease: the multiple roles of complement in disease development Semin Immunol 2018 37 30 42 10.1016/j.smim.2018.02.006 29478824
29. Maor G Rencus-Lazar S Filocamo M Steller H Segal D Horowitz M Unfolded protein response in Gaucher disease: from human to Drosophila Orphanet J Rare Dis 2013 8 140 10.1186/1750-1172-8-140 24020503 PMC3819655
30. Babajani G Tropak MB Mahuran DJ Kermode AR Pharmacological chaperones facilitate the post-ER transport of recombinant N370S mutant beta-glucocerebrosidase in plant cells: evidence that N370S is a folding mutant Mol Genet Metab 2012 106 3 323 329 10.1016/j.ymgme.2012.04.018 22592100 PMC3425598
31. Jian J Zhao S Tian QY Liu H Zhao Y Chen WC Grunig G Torres PA Wang BC Zeng B Association between Progranulin and Gaucher Disease EBioMedicine 2016 11 127 137 10.1016/j.ebiom.2016.08.004 27515686 PMC5049935
32. Schwartzberg L Electronic patient-reported outcomes: the time is ripe for integration into patient care and clinical research Am Soc Clin Oncol Educ Book 2016 35 e89 96 10.1200/EDBK_158749 27249775
33. Horevoorts NJ Vissers PA Mols F Thong MS van de Poll-Franse LV Response rates for patient-reported outcomes using web-based versus paper questionnaires: comparison of two invitational methods in older colorectal cancer patients J Med Internet Res 2015 17 5 e111 10.2196/jmir.3741 25953059 PMC4468744
34. Bae WK Kwon J Lee HW Lee SC Song EK Shim H Ryu KH Song J Seo S Yang Y Feasibility and accessibility of electronic patient-reported outcome measures using a smartphone during routine chemotherapy: a pilot study Support Care Cancer 2018 26 11 3721 3728 10.1007/s00520-018-4232-z 29732483