A Prediction Model for Persistent Inflammation-Immunosuppression-Catabolism Syndrome in Patients with Sepsis: An Ambispective Cohort Study

Objective: To develop and temporally validate an admission-variable model for estimating the risk of persistent inflammation-immunosuppression-catabolism syndrome (PICS) among patients with sepsis who remained in the intensive care unit (ICU) for ≥ 14 days. Methods: We conducted an ambispective, single-center cohort study. The retrospective development cohort included patients admitted from January 2023 to May 2025, and the prospective temporal validation cohort included patients admitted from June 2025 to February 2026. Candidate predictors measured at ICU admission were selected using least absolute shrinkage and selection operator (LASSO) regression and entered into a multivariable logistic regression model. Discrimination, calibration, and potential clinical utility were evaluated using the area under the receiver operating characteristic curve (AUC), calibration analyses, and decision curve analysis. Results: The development cohort included 242 patients, of whom 93 (38.4%) met the PICS criteria. Compared with respiratory infection, urinary infection (adjusted odds ratio (aOR 0.07, 95% CI 0.01– 0.67), gastrointestinal infection (aOR 0.15, 95% CI 0.05– 0.45), and skin or soft-tissue infection (aOR 0.29, 95% CI 0.11– 0.77) were associated with lower odds of PICS. Higher lactate was associated with higher odds of PICS (aOR 1.20, 95% CI 1.07– 1.34), whereas higher lymphocyte count (aOR 0.46, 95% CI 0.28– 0.77), albumin (aOR 0.92, 95% CI 0.86– 0.99), and vitamin D (aOR 0.88, 95% CI 0.83– 0.94) were associated with lower odds. The AUC was 0.803 (95% CI 0.747– 0.859) in the development cohort and 0.791 (95% CI 0.718– 0.864) in the temporal validation cohort. Conclusion: Among patients with sepsis who remained in the ICU for ≥ 14 days, an admission-variable model showed acceptable discrimination in the development and temporal validation cohorts. External multicenter validation and prospective impact evaluation are required before clinical use. Keywords: persistent inflammation-immunosuppression catabolism syndrome, vitamin D, intensive care unit

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Publication Details

Journal
Infection and Drug Resistance
Published
2026-09-01
DOI
https://doi.org/10.2147/idr.s623214
Primary Topic
Sepsis Diagnosis and Treatment
Type
article
Field-Weighted Citation Impact
0.00

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article

A Prediction Model for Persistent Inflammation-Immunosuppression-Catabolism Syndrome in Patients with Sepsis: An Ambispective Cohort Study

Zhongqing Chen, Xiaoyu Wang, Lan Peng, Wenjuan Yan et al.
Infection and Drug Resistance
Sepsis Diagnosis and Treatment
article

A Prediction Model for Persistent Inflammation-Immunosuppression-Catabolism Syndrome in Patients with Sepsis: An Ambispective Cohort Study

Zhongqing Chen, Xiaoyu Wang, Lan Peng, Wenjuan Yan, Hongbin Hu, X.R. Zhong, Jindai Yang, Le Chang, Yaoyuan Zhang
article en

Abstract

Objective: To develop and temporally validate an admission-variable model for estimating the risk of persistent inflammation-immunosuppression-catabolism syndrome (PICS) among patients with sepsis who remained in the intensive care unit (ICU) for ≥ 14 days. Methods: We conducted an ambispective, single-center cohort study. The retrospective development cohort included patients admitted from January 2023 to May 2025, and the prospective temporal validation cohort included patients admitted from June 2025 to February 2026. Candidate predictors measured at ICU admission were selected using least absolute shrinkage and selection operator (LASSO) regression and entered into a multivariable logistic regression model. Discrimination, calibration, and potential clinical utility were evaluated using the area under the receiver operating characteristic curve (AUC), calibration analyses, and decision curve analysis. Results: The development cohort included 242 patients, of whom 93 (38.4%) met the PICS criteria. Compared with respiratory infection, urinary infection (adjusted odds ratio (aOR 0.07, 95% CI 0.01– 0.67), gastrointestinal infection (aOR 0.15, 95% CI 0.05– 0.45), and skin or soft-tissue infection (aOR 0.29, 95% CI 0.11– 0.77) were associated with lower odds of PICS. Higher lactate was associated with higher odds of PICS (aOR 1.20, 95% CI 1.07– 1.34), whereas higher lymphocyte count (aOR 0.46, 95% CI 0.28– 0.77), albumin (aOR 0.92, 95% CI 0.86– 0.99), and vitamin D (aOR 0.88, 95% CI 0.83– 0.94) were associated with lower odds. The AUC was 0.803 (95% CI 0.747– 0.859) in the development cohort and 0.791 (95% CI 0.718– 0.864) in the temporal validation cohort. Conclusion: Among patients with sepsis who remained in the ICU for ≥ 14 days, an admission-variable model showed acceptable discrimination in the development and temporal validation cohorts. External multicenter validation and prospective impact evaluation are required before clinical use. Keywords: persistent inflammation-immunosuppression catabolism syndrome, vitamin D, intensive care unit

Infection and Drug ResistanceVol. Volume 19
Southern Medical University (CN)
Natural Science Foundation of Guangdong Province
Peace, Justice and strong institutions, Reduced inequalities
Openalex Percentile: Top 11%
Sepsis Diagnosis and Treatment
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