ArticleBMJ open2024
Association between body mass index and delirium incidence in critically ill patients: a retrospective cohort study based on the MIMIC-IV Database.
Article in BMJ open, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Key principles for rehabilitation of critically ill patients with obesity.Intensive care medicine · 2026Review
- Research Topics and Trends in MIMIC-IV: A Large ICU Database Relevant for Critical Care Nursing.Nursing in critical care · 2026Review
- Association between hemoglobin glycation index and delirium after gastric surgery: Based upon the MIMIC-IV.Medicine · 2026Article
- Association between anion gap and postoperative delirium in patients undergoing open heart surgery.Frontiers in cardiovascular medicine · 2025Article
- Development and clinical application of an automated machine learning-based delirium risk prediction model for emergency polytrauma patients.Frontiers in physiology · 2025Article
- Reinforcement learning model for optimizing dexmedetomidine dosing to prevent delirium in critically ill patients.NPJ digital medicine · 2024Article
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Authors and funding
8 authors.
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Abstract
objectivesDelirium is a form of brain dysfunction with high incidence and is associated with many negative outcomes in the intensive care unit. However, few studies have been large enough to reliably examine the associations between body mass index (BMI) and delirium, especially in critically ill patients. The objective of this study was to investigate the association between BMI and delirium incidence in critically ill patients.
designA retrospective cohort study.
settingData were collected from the Medical Information Mart for Intensive Care-IV V2.0 Database consisting of critically ill participants between 2008 and 2019 at the Beth Israel Deaconess Medical Center in Boston.
participantsA total of 20 193 patients with BMI and delirium records were enrolled in this study and were divided into six groups. PRIMARY OUTCOME MEASURE: Delirium incidence.
resultsGeneralised linear models and restricted cubic spline analysis were used to estimate the associations between BMI and delirium incidence. A total of 30.81% of the patients (6222 of 20 193) developed delirium in the total cohort. Compared with those in the healthy weight group, the patients in the different groups (underweight, overweight, obesity grade 1, obesity grade 2, obesity grade 3) had different relative risks (RRs): RR=1.10, 95% CI=1.02 to 1.19, p=0.011; RR=0.93, 95% CI=0.88 to 0.97, p=0.003; RR=0.88, 95% CI=0.83 to 0.94, p<0.001; RR=0.94, 95% CI=0.86 to 1.03, p=0.193; RR=1.14, 95% CI=1.03 to 1.25, p=0.010, respectively. For patients with or without adjustment variables, there was an obvious U-shaped relationship between BMI as a continuous variable and delirium incidence.
conclusionBMI was associated with the incidence of delirium. Our results suggested that a BMI higher or lower than obesity grade 1 rather than the healthy weight in critically ill patients increases the risk of delirium incidence.
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