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Article

Predictors of Post-Intensive Care Syndrome in ICU Survivors After Discharge: An Observational Study

1
Department of Biomedicine and Prevention, University of Rome Tor Vergata, 00133 Rome, Italy
2
Department of Health Sciences, University of Florence, 50131 Florence, Italy
*
Author to whom correspondence should be addressed.
J. Clin. Med. 2025, 14(17), 6043; https://doi.org/10.3390/jcm14176043
Submission received: 14 July 2025 / Revised: 22 August 2025 / Accepted: 25 August 2025 / Published: 26 August 2025
(This article belongs to the Section Intensive Care)

Abstract

Background/Objectives: Post-intensive care syndrome (PICS) includes new or worsening physical, cognitive, and mental impairments following intensive care unit (ICU) admission. However, its predictors remain poorly defined. This study aimed to identify the predictors of PICS among ICU survivors 30 days after discharge. Methods: This prospective, monocentric, observational study was conducted from September 2023 to March 2024. Adult ICU survivors were assessed using the Healthy Ageing Brain Care Monitor to evaluate their physical, cognitive, and mental dimensions. The predictors included age, sex, coma, sedation, clinical severity (APACHE score), risk of ICU delirium (PREDELIRIC score), infection, hospital length of stay, and mechanical ventilation duration. Multivariate linear regression was used to identify independent predictors (p < 0.05). Results: A total of 90 ICU survivors were enrolled in the study. Higher clinical severity (B = 0.17, p = 0.001) and high delirium risk (PREDELIRIC score: B = 3.11, p = 0.007) were associated with worse cognitive PICS. Functional PICS was predicted by clinical severity (B = 0.36, p = 0.002) and moderate delirium risk (PREDELIRIC score: B = 7.12, p = 0.009). Behavioural PICS was inversely associated with coma (B = −6.74, p = 0.023) but positively associated with sedation (B = 7.64, p = 0.013) and moderate delirium risk (B = 2.24, p = 0.031). Conclusions: Clinical severity, PREDELIRIC score, sedation, and coma were significant predictors of PICS subdomains. Multidisciplinary teams may be more effective by prioritising targeted screening to identify ICU survivors at elevated risk for PICS using validated predictors such as clinical severity and the PREDELIRIC score, and delivering focused interventions to those most likely to benefit.
Keywords: post-intensive care syndrome; survivors, predictors, intensive care units; PREDELIRIC score post-intensive care syndrome; survivors, predictors, intensive care units; PREDELIRIC score

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MDPI and ACS Style

Gravante, F.; Iovino, P.; Trotta, F.; Meucci, B.; Abagnale, M.; Bambi, S.; Pucciarelli, G. Predictors of Post-Intensive Care Syndrome in ICU Survivors After Discharge: An Observational Study. J. Clin. Med. 2025, 14, 6043. https://doi.org/10.3390/jcm14176043

AMA Style

Gravante F, Iovino P, Trotta F, Meucci B, Abagnale M, Bambi S, Pucciarelli G. Predictors of Post-Intensive Care Syndrome in ICU Survivors After Discharge: An Observational Study. Journal of Clinical Medicine. 2025; 14(17):6043. https://doi.org/10.3390/jcm14176043

Chicago/Turabian Style

Gravante, Francesco, Paolo Iovino, Francesca Trotta, Beatrice Meucci, Marco Abagnale, Stefano Bambi, and Gianluca Pucciarelli. 2025. "Predictors of Post-Intensive Care Syndrome in ICU Survivors After Discharge: An Observational Study" Journal of Clinical Medicine 14, no. 17: 6043. https://doi.org/10.3390/jcm14176043

APA Style

Gravante, F., Iovino, P., Trotta, F., Meucci, B., Abagnale, M., Bambi, S., & Pucciarelli, G. (2025). Predictors of Post-Intensive Care Syndrome in ICU Survivors After Discharge: An Observational Study. Journal of Clinical Medicine, 14(17), 6043. https://doi.org/10.3390/jcm14176043

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