Association between ePWV and delirium risk in icu sepsis patients: a retrospective analysis based on the MIMIC database and development of a predictive model
Jan 2026· Clinics· Vol 81· 0 citations· 41 references
Medicine
Abstract
Highlights • ePWV is an independent predictor of delirium in ICU sepsis patients.• Nonlinear ePWV-delirium relationship shown via RCS analysis.• KNN model with ePWV achieves AUC = 0.736 in validation cohort.• SHAP identifies RF, ARF, and ACEI as key predictors.• ePWV is a novel non-invasive biomarker for early delirium screening.
The association between HGI levels and the risk of PSD during intensive care unit (ICU) stay in stroke patients during intensive care unit (ICU) stay in stroke patients was evaluated.
Delirium is a common and severe complication of sepsis in critically ill patients and is associated with increased mortality and prolonged hospitalization. Early identification of high-risk individuals remains challenging, particularly among non–mechanically ventilated patients who are less frequently represented in pr...
Bing-Jie Xiang, Yuan Gao, Yuan-Yuan Ren et al.· Clinical and Experimental Me...· 0 citations
Patients with dementia have high rehospitalization rates, creating substantial clinical and economic burden. Machine learning (ML) may help predict readmission risk, but its use for clinically relevant outcomes such as rehospitalization in dementia remains limited. This study evaluated the performance of several ML alg...
Amirreza Esmaeili, V. Saeedi, L. Kamalzadeh· Health Science Reports· 0 citations
Objective To develop, internally validate, and preliminarily externally validate a model predicting incident delirium after the first 24 hours of intensive care in patients with acute pancreatitis (AP). Methods This retrospective prediction study used MIMIC-IV 3.1 for development and eICU-CRD 2.0 for external validatio...
Kang-Rui Fu, Bing-Lin Song, Yuan Luo et al.· Science in progress· 0 citations
Poststroke delirium (PSD) is common and prognostically relevant, yet under‐detected. Mechanistic and biomarker research is constrained by reliance on an intermittently observed binary phenotype, while delirium reflects one severity level on a continuum of delirium‐related encephalopathy. Quantitative EEG (qEEG) may cap...
Max Blücher, N. Armagan, Anna-Christina Osswald et al.· Brain and Behavior· 1 citation
BACKGROUND
Postoperative delirium (POD) is a complication affecting up to 50% of older surgical patients. Early identification of at-risk patients is critical for targeted prevention.
METHODS
In this prospective cohort study, we validated the performance of the PIPRA machine-learning model for predicting POD across f...
Nayeli Schmutz, Kelly A. Reeve, J. G. Gaudet et al.· Anaesthesia Critical Care &...· 0 citations
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.
