Application of the healthy aging brain care monitor for latent profile classification and influencing factors of post-intensive care syndrome in intensive care unit-transferred patients: A multicentre cohort study.

BACKGROUND

Post-intensive care syndrome (PICS) significantly impacts intensive care unit (ICU)-transferred patients, causing long-term physical, cognitive, and psychological consequences. However, personalised interventions targeting the full spectrum of symptoms in these patients remain limited. Current mainstream PICS assessment methods involve multiple scales, which can be complex, whereas the Healthy Aging Brain Care Monitor offers a more streamlined approach for evaluating the full range of symptoms in ICU-transferred patients; thus, its application in this population requires further exploration.

OBJECTIVES

The objectives of this study were to classify the severity of PICS symptoms in ICU-transferred patients using the Healthy Aging Brain Care Monitor and to identify influencing factors associated with different PICS severity categories.

METHODS

A cohort study was conducted at four tertiary hospitals in Beijing from January to December 2023, enrolling ICU-transferred patients. Data were collected using paper-based questionnaires, and a latent profile analysis was performed using Mplus 8.3 (Muthén & Muthén, Los Angeles, CA, USA) to classify PICS severity. Differences between groups were analysed using chi-squared tests, Kruskal-Wallis tests, and logistic regression.

RESULTS

The latent profile analysis identified three categories of PICS symptoms: "mild PICS group" (48.95%), "moderate PICS group" (28.69%), and "severe PICS group" (22.36%). Logistic regression analysis showed that factors such as education level (primary school or below, odds ratio [OR] = 3.129, 95% confidence interval [CI]: 1.182-6.985), Acute Physiology and Chronic Health Evaluation II score (OR = 1.100, 95% CI: 1.016-1.190), Sequential Organ Failure Assessment score (OR = 1.312, 95% CI: 1.110-1.552), and Hospital Anxiety and Depression Scale for depression score (OR = 1.721, 95% CI: 1.220-2.426) significantly influenced the likelihood of severe PICS symptoms.

CONCLUSIONS

The study revealed distinct PICS severity profiles in ICU-transferred patients, emphasising the significant role of baseline health, anxiety, and department of transfer in determining symptom severity. These findings highlight the potential for personalised, targeted interventions based on these profiles. Future research should explore how these factors interact and their causal relationships to better tailor interventions for improving recovery and quality of life post ICU discharge.