Prediction and management of strangulated bowel obstruction: a multi-dimensional model analysis.

ABSTRACT:

Background

Distinguishing strangulated bowel obstruction (StBO) from simple bowel obstruction (SiBO) still poses a challenge for emergency surgeons. We aimed to construct a predictive model that could distinctly discriminate StBO from SiBO based on the degree of bowel ischemia.

Methods

The patients diagnosed with intestinal obstruction were enrolled and divided into SiBO group and StBO group. Binary logistic regression was applied to identify independent risk factors, and then predictive models based on radiological and multi-dimensional models were constructed. Receiver operating characteristic (ROC) curves and the area under the curve (AUC) were calculated to assess the accuracy of the predicted models. Via stratification analysis, we validated the multi-dimensional model

SUBMITTER: Xu WX 

PROVIDER: S-EPMC9219133 | biostudies-literature | 2022 Jun

REPOSITORIES: biostudies-literature