Clinical Research Directory

Post-ICU Syndrome and Social Determinants of Healths

Sponsor: Pontificia Universidad Catolica de Chile

Summary

Medical intensive care has improved dramatically, and today, 70% to 80% of critically ill patients survive. However, several survivors face long-term psychological, cognitive, and/or physical sequelae after discharge and challenges in resuming their lives. These conditions are known as Post-Intensive Care Syndrome (PICS). PICS is a multifaceted disorder that affects many patients who survive critical illness and receive treatment in the ICU. 'It can persist for weeks, months, and years after discharge, negatively affecting the quality of life of survivors and their families, generating financial consequences, and increasing the utilization of healthcare services. It can persist for weeks, months, and years after discharge, negatively affecting survivors' and their families' quality of life, creating financial burdens, and increasing healthcare utilization. Researchers have identified several PICS risk factors linked to sociodemographic and psychosocial conditions, including social support, isolation, and survivors' social position. Taken together, these findings highlight the role of social determinants of health (SDH) in explaining PICS and the different outcomes among survivors. We propose that applying an SDH framework can enhance understanding of PICS, its determinants, trajectories, and outcomes. Consequently, this study aims to examine the trajectories of PICS among ICU survivors and the role of SDH, including sociodemographic factors, social support, loneliness, perceived social position, among other factors, as well as the role of biomarkers and ICU treatments. We will conduct a longitudinal cohort study with 400 patients from 5 different ICUs in Chile who received critical care. We will assess patients using sociodemographic factors, ICU treatment, SDH measures, psychosocial factors, biomarkers, and PICS symptoms at discharge and at 3, 6, and 12 months. Latent class analysis (LCA) will identify distinct latent profiles based on patterns of PICS symptoms. We will then examine social determinants of health (SDH) as covariates to determine whether they are associated with different profiles. These results will contribute to our understanding of PICS and inform interventions to prevent it and support the recovery process among survivors.

Official title: Post-ICU Syndrome: Exploring the Role of Social Determinants on Trajectories and Outcomes

Key Details

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Locations (5)