Construction and Evaluation of A Risk Warning Model for Enteral Nutrition Related Diarrhea in Acute Stroke Patients Based on Logistic Regression and Nomogram
10.13241/j.cnki.pmb.2025.12.012
- VernacularTitle:基于Logistic回归和Nomogram的急性脑卒中患者肠内营养相关性腹泻的风险预警模型构建与评价
- Author:
Yu-ting BAI
1
;
Xia PENG
;
Yun WANG
;
Yong-mei LIU
Author Information
1. 盐城市第一人民医院神经内科 江苏盐城 224006
- Publication Type:Journal Article
- Keywords:
Logistic regression;
Nomogram;
Acute stroke;
Enteral nutrition associated diarrhea;
Warning model
- From:
Progress in Modern Biomedicine
2025;25(12):2003-2008,2041
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To construct and evaluate a risk warning model for enteral nutrition associated diarrhea(ENAD)in acute stroke patients based on logistic regression and Nomogram.Methods:This study was a retrospective study,a total of 172 patients with acute stroke who were admitted to Yancheng First People's Hospital from January 2022 to May 2024 were selected,and clinical data of patients were collected.Multivariate logistic regression analysis was used to identify the influencing factors of ENAD occurrence,based on the results of the multivariate logistic regression analysis,a Nomogram warning model was constructed,the receiver operating characteristic(ROC)curve was applied to analyze the predictive value of the Nomogram warning model for the risk of ENAD occurrence in patients with acute stroke.Results:Univariate analysis showed that,the occurrence of ENAD in patients with acute stroke was related to fasting time,mechanical ventilation,oral potassium preparations,albumin,number of types of antibiotics used,acute physiology and chronic health status Ⅱ(APACHE Ⅱ)score,enteral nutrition infusion rate,length of stay in the intensive care unit(ICU),use of proton pump inhibitors,duration of antibiotic use,use of gastrointestinal prokinetic drugs,and daily enteral nutrition infusion volume(P＜0.05).The results of multiple logistic regression analysis showed that,high APACHE Ⅱ score,prolonged use of antibiotics,low albumin,use of gastrointestinal prokinetic drugs,oral potassium preparations,prolonged fasting time,and rapid enteral nutrition infusion were risk factors for ENAD in patients with acute stroke(P＜0.05).Construct and validate a Nomogram warning model based on the results of multiple logistic regression analysis.After evaluation,the model fits well with an area under the curve(AUC)of 0.823,indicating high predictive value for ENAD occurrence in patients with acute stroke.Conclusion:High APACHE Ⅱ score,prolonged use of antibiotics,low albumin,use of gastrointestinal prokinetic drugs,oral potassium preparations,prolonged fasting time,and rapid enteral nutrition infusion are risk factors for ENAD in patients with acute stroke.The Nomogram warning model constructed based on the above indicators has high predictive value for the occurrence of ENAD in patients with acute stroke.
