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Construction of a predictive model for the risk of delirium in patients with sepsis

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Author:
No author available
Journal Title:
Chinese Journal of Emergency Medicine
Issue:
6
DOI:
10.3760/cma.j.issn.1671-0282.2024.06.010
Key Word:
重症监护室;脓毒症;谵妄;年龄;咪达唑仑;急性生理与慢性健康评分II;代谢性酸中毒;尿素;危险因素;预测模型;Intensive Care Unit;Sepsis;Delirium;Age;Midazolam;APACHEⅡ;Metabolic acidosis;Urea;Coagulation disorders;Risk factors;Prediction model

Abstract: Objectives:To identify the risk factors associated with delirium in intensive care unit (ICU) hospitalization of sepsis patients and construct a clinical prediction model to to provide a reference for the prevention and control of delirium in sepsis patients.Methods:Data were collected of sepsis patients admitted in the Intensive Care Unit in the Second Affiliated Hospital of Soochow University from September 2020 to August 2022.The patients were divided into delirium group and non-delirium group according to whether delirium occurred or not. Comparing of the differences in general and clinical data between the two groups, the independent risk factors for delirium were screened by backward stepwise regression method, and the delirium risk prediction model was constructed and evaluated. An independent risk factor analysis for delirium was conducted using a backward stepwise regression approach to identify significant predictors. A delirium risk prediction model was constructed based on the identified risk factors, followed by a comprehensive evaluation of the model's performance.Results:A total of 381 sepsis patients were included in the study, 114 patients (29.9%) developed delirium during the ICU hospitalization. Univariate analysis revealed statistically significant differences ( P< 0.05) between the delirium and non-delirium groups for several factors including age ≥ 65 years, blood transfusion, use of midazolam, use of adrenaline, APACHEⅡ score>15, SOFA score>4, metabolic acidosis, urea>7.1 mmol/L, coagulation disorders, lactate levels, and platelet count. Multivariate analysis identified age ≥ 65 years, use of midazolam, APACHEⅡ score>15, metabolic acidosis, urea>7.1 mmol/L, and coagulation disorders as independent risk factors for delirium in sepsis patients during ICU hospitalization.The predictive model was evaluated with an area under the ROC curve of 0.813, a non-significant Hosmer-Lemeshow goodness-of-fit test ( P=0.957>0.05), and a Brier score of 0.149 (<0.25), indicating good predictive performance and calibration. Clinical decision and impact curves demonstrated the model's favorable clinical applicability. Conclusions:The occurrence of delirium in ICU sepsis patients closely associate with six factors: age ≥ 65 years, use of midazolam, APACHEⅡ score>15, metabolic acidosis, urea>7.1 mmol/L, and coagulation disorders. This sepsis delirium prediction model has good clinical predictive ability and clinical applicability.

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