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Assessment of Risk Factors and Establishment of a Nomogram Model to Predict Early High-output Ileostomy by Ying Chen; Zhongxiang Cai; Yan Liu; Jun Zhong; Fan Cheng is a Medicine article available to read on EtoBox.

What is Assessment of Risk Factors and Establishment of a Nomogram Model to Predict Early High-output Ileostomy about?

Objective This study evaluated the prevalence and perioperative risk factors for early high-output ileostomy (EHOI) and developed a precise nomogram model to predict the occurrence of EHOI. Methods 140 patients who underwent ileostomy surgery at three hospitals in Wuhan, Hubei Province, between January 2022 and May 2022 were enrolled in this prospective cohort study. By using univariate and multifactorial logistic regression, independent risk variables for the development of EHOI were examined, and the nomogram model for predicting the risk of EHOI was created by using R software. The calibration curve and area under the receiver operating characteristic curve (ROC AUC) were used to evaluate the calibration and discrimination of the prediction model, Hosmer-Lemeshow to verify the fit of the model. Clinical impact curve (CIC) and decision curve analysis (DCA) were used to assess the model's clinical efficacy. Results A total of 132 patients participated in the study, and the incidence of EHOI was 25.8% (34/132). The nomogram model incorporated 3 risk factors hypertension, drinking habits, and high white blood cell (WBC) count after surgery. The AUC was 0.742, and the nomogram showed

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Author

Ying Chen; Zhongxiang Cai; Yan Liu; Jun Zhong; Fan Cheng

Publisher

Springer Science and Business Media LLC

Published

2023

Language

EN

Field

Medicine (Health Sciences)