Cutoff Values for Screening Post-Intensive Care Syndrome Using the Post-Intensive Care Syndrome Questionnaire

TL;DR

This study identifies cutoff scores for a questionnaire to screen ICU survivors for post-intensive care syndrome, which could help improve long-term outcomes through early intervention.

Contribution

The study provides validated cutoff values for each domain of the PICSQ to screen for post-intensive care syndrome in ICU survivors.

Findings

Optimal cutoff values of ≥3 (mental), ≥7 (physical), and ≥2 (cognitive) were determined with AUC values of 0.83, 0.84, and 0.80.

Participants above cutoffs had significantly lower quality of life and higher readmission rates.

The cutoff values may support early screening of PICS in ICU survivors.

Abstract

Background: Post-intensive care syndrome (PICS) affects over half of intensive care unit (ICU) survivors, impairing their long-term health and quality of life. Although the Post-Intensive Care Syndrome Questionnaire (PICSQ) was developed to measure PICS, validated cutoff values for screening are lacking. This study aimed to determine optimal cutoff values for each domain of the PICSQ. Methods: A total of 475 ICU survivors completed the PICSQ three months after discharge. Receiver operating characteristic (ROC) curve analyses were conducted to determine optimal cutoff values for each domain. The criterion tools included the Hospital Anxiety and Depression Scale, the Posttraumatic Diagnostic Scale, the Activities of Daily Living scale, and the Montreal Cognitive Assessment. Health-related quality of life and hospital readmission rates were compared between groups classified by the determined cutoffs. Results: The optimal cutoff values were ≥3 for mental, ≥7 for physical, and ≥2 for cognitive domains, with area under the curve (AUC) values of 0.83, 0.84, and 0.80, respectively. The participants scoring above these cutoffs had significantly lower quality of life and higher readmission rates. Conclusions: The determined cutoff values may support early screening of PICS in ICU survivors, enabling timely interventions to improve long-term outcomes. Further research is needed to validate these values in diverse populations.

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