Related Experiment Video
Updated: May 7, 2026

08:25
Polar Histogram Visualization of Acute Stress Disorder Scale Scores for Comprehensive Clinical Assessment
Published on: December 6, 2024
Developing an early screening instrument for predicting psychological morbidity after critical illness
Critical Care (London, England)
|September 26, 2013
Summary
A new screening tool helps identify intensive care unit (ICU) survivors at risk for psychological issues like PTSD, anxiety, and depression. This aids clinicians in optimizing follow-up care for critical illness survivors.
Area of Science:
- Critical care medicine
- Psychological outcomes
- Health services research
Background:
- Intensive care unit (ICU) survivors require follow-up care.
- Identifying psychological distress post-ICU is crucial for treatment and resource allocation.
- A predictive screening instrument at ICU discharge can identify at-risk patients.
Purpose of the Study:
- To develop a predictive screening instrument for identifying ICU patients at risk of post-traumatic stress, anxiety, or depression.
- To aid clinicians in early identification of psychological problems in ICU survivors.
Main Methods:
- Prospective collection of 21 potential risk factors at ICU discharge.
- Administration of Post-Traumatic Stress Symptom scale-10 (PTSS-10) and Hospital Anxiety and Depression Scale (HADS) two months post-discharge to 252 survivors.
- Analysis of patient characteristics and ICU-related variables to identify predictors.
Main Results:
- 31% of 150 responders experienced adverse psychological outcomes (PTSS-10 >35 or HADS ≥8).
- Six predictors identified: pre-existing disease, parental status, previous psychological issues, in-ICU agitation, unemployment/sick-leave, and depressive appearance.
- Screening instrument achieved a predictive accuracy of 0.77 (AUC), with risk groups showing 12% (low), 50% (moderate), and 63% (high) adverse outcome prevalence.
Conclusions:
- A screening instrument developed can assist ICU clinicians in identifying patients at risk for adverse psychological outcomes.
- The tool predicts psychological risk two months after critical illness.
- External validation is required before widespread clinical implementation.