Atherogenic Index of Plasma for the Prediction of Delirium in ICU Patients: A Retrospective Cohort Study Based on the MIMIC-IV Database.
S, M., X, C., T, W., Y, Q., J, X., & X, Z. (2026). Atherogenic Index of Plasma for the Prediction of Delirium in ICU Patients: A Retrospective Cohort Study Based on the MIMIC-IV Database.. Brain and behavior. https://doi.org/10.1002/brb3.71613
S M, X C, T W, Y Q, J X, X Z. Atherogenic Index of Plasma for the Prediction of Delirium in ICU Patients: A Retrospective Cohort Study Based on the MIMIC-IV Database.. Brain and behavior. 2026; doi: 10.1002/brb3.71613
S M, X C, T W, et al. Atherogenic Index of Plasma for the Prediction of Delirium in ICU Patients: A Retrospective Cohort Study Based on the MIMIC-IV Database.[J]. Brain and behavior. 2026. DOI: 10.1002/brb3.71613.
@article{s2026,
author = {Miao S and Chen X and Wu T and Qian Y and Xu J and Zhang X},
title = {Atherogenic Index of Plasma for the Prediction of Delirium in ICU Patients: A Retrospective Cohort Study Based on the MIMIC-IV Database.},
journal = {Brain and behavior},
year = {2026},
doi = {10.1002/brb3.71613},
note = {PMID: 42458915},
}
TY - JOUR AU - Miao S AU - Chen X AU - Wu T AU - Qian Y AU - Xu J AU - Zhang X TI - Atherogenic Index of Plasma for the Prediction of Delirium in ICU Patients: A Retrospective Cohort Study Based on the MIMIC-IV Database. T2 - Brain and behavior PY - 2026 DO - 10.1002/brb3.71613 AN - PMID:42458915 ER -
BACKGROUND: This cohort study aimed to assess the association between atherogenic index of plasma (AIP) and the risk of delirium in intensive care unit (ICU) patients. METHODS: Using the Medical Information Mart for Intensive Care IV (MIMIC-IV) database, we analyzed 2,104 adult patients with ICU stays of ≥48 h. The relationship between AIP and delirium risk was investigated using logistic regression and restricted cubic splines (RCS). Subgroup analyses and interaction tests were conducted to assess effect modification. The primary endpoint was the incidence of delirium, with results expressed as odds ratio (OR) and 95% confidence intervals (CI). RESULTS: After adjusting for confounding variables, elevated AIP was significantly associated with delirium risk (OR 1.48, 95% CI 1.15-1.91, p = 0.003). RCS analysis revealed a J-shaped nonlinear relationship (P for nonlinearity = 0.01) between AIP and delirium with an inflection point at AIP = 0.33. Subgroup analyses confirmed consistent associations across demographic and clinical strata (all P for interaction > 0.05). CONCLUSION: This study suggests that AIP may serve as an independent biomarker for delirium risk in ICU patients, indicating its potential utility for early identification of high-risk patients. The nonlinear association highlights the need for personalized risk assessment based on AIP values.