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Published on: January 16, 2019
Association between organ dysfunction during ICU stay and post-intensive care syndrome at 1 year after ICU discharge:
Mahan Sadjadi1, Matteo Marcello2,3, Miles Drammeh2
1Department of Anesthesiology, Intensive Care and Pain Medicine, University Hospital Münster, Albert-Schweitzer-Campus 1, Geb. A1, 48149, Münster, Germany. mahan.sadjadi@ukmuenster.de.
Insights
The number of organ dysfunctions during critical illness strongly predicts Post-Intensive Care Syndrome (PICS) one year after ICU discharge. This finding offers a new metric for PICS risk assessment.
Area of Science:
- Critical Care Medicine
- Intensive Care Unit (ICU) Outcomes
- Post-Intensive Care Syndrome (PICS) Research
Background:
- Post-Intensive Care Syndrome (PICS) significantly impacts a large portion of intensive care unit (ICU) survivors.
- Understanding factors predicting PICS is crucial for improving long-term patient outcomes.
Purpose of the Study:
- To investigate the association between granular ICU course features, specifically organ dysfunction burden, and the prevalence of PICS one year post-ICU discharge.
- To evaluate the discriminative ability of organ dysfunction count compared to traditional models.
Main Methods:
- A prospective, single-center cohort study involving 159 adult surgical ICU survivors.
- Standardized assessments for PICS domains (physical, cognitive, psychological) at 3 and 12 months; PICS defined as impairment in ≥2 domains.
- ICU organ dysfunction burden operationalized as the sum of organ dysfunctions during the ICU stay.
Main Results:
- 31% of patients (49/159) met PICS criteria at 12 months.
- Each additional organ dysfunction significantly increased the odds of PICS (OR 2.91, p < 0.001).
- The organ dysfunction count model showed strong discrimination (AUC 0.83), outperforming baseline models (AUC 0.60) and severity scores like SOFA (AUC 0.63) and APACHE II (AUC 0.64).
Conclusions:
- The breadth of organ system involvement during critical illness, measured by organ dysfunction count, is strongly associated with PICS at 12 months.
- Organ dysfunction count demonstrated superior discriminative ability compared to baseline characteristics and established scoring systems.
- Findings are hypothesis-generating and require external validation for clinical application.
Background:
Post-Intensive Care Syndrome (PICS) affects a substantial proportion of intensive care unit (ICU) survivors. This study investigates whether granular features of the ICU course including organ dysfunction are associated with the prevalence of PICS one year after ICU discharge.
Methods:
This was a prospective single-center cohort study of 159 adult surgical ICU survivors enrolled between September 2023 and August 2024. Standardized assessments for PICS domains were performed at 3 and 12 months; PICS was defined a priori as impairment in ≥ 2 of 3 domains (physical, cognitive, psychological). ICU exposure data were ascertained retrospectively from electronic health records. We compared baseline, illness severity and ICU-course variables between patients with and without PICS at 12 months. The primary exposure was the burden of critical illness, operationalized as the sum of organ dysfunctions during the ICU stay. Discriminative ability was evaluated across the organ dysfunction count model, a data-driven three-variable model as well as baseline-only and severity-score models as comparators.
Results:
At 12 months, 49 of 159 patients (31%) met PICS criteria. Baseline demographics and comorbidities did not differ between groups. Patients with PICS had longer and more complicated ICU stays, and more organ dysfunctions. Each additional organ dysfunction was associated with significantly higher odds of PICS (odds ratio [OR] 2.91; bias-corrected and accelerated [BCa] bootstrap 95% CI 1.92-6.00; p < 0.001). The organ dysfunction count demonstrated good discrimination (area under the receiver operating characteristic curve [AUC] 0.83; 95% CI 0.75-0.91; optimism-corrected AUC 0.82), significantly exceeding a baseline-only model containing demographics and comorbidities (AUC 0.60; 95% CI 0.50-0.71; DeLong p < 0.001), as well as outperforming admission Sequential Organ Failure Assessment (SOFA, AUC 0.63), and Acute Physiology And Chronic Health Evaluation II (APACHE II, AUC 0.64) models. An exploratory, data-driven three-variable model yielded an apparent AUC of 0.87 (optimism-corrected 0.83) with borderline calibration.
Conclusions:
In this exploratory analysis, the breadth of organ system involvement during critical illness, captured by the number of organ dysfunctions, was more strongly associated with PICS at 12 months after ICU discharge and demonstrated greater discriminative ability than any baseline demographics or comorbidities as well as SOFA and APACHE scores. These findings are hypothesis-generating and require external validation before clinical application.
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