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An Experimental Paradigm for the Prediction of Post-Operative Pain PPOP

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Machine learning-based prediction models affecting the recovery of postoperative bowel function for patients

Shuguang Yang¹, Huiying Zhao¹, Youzhong An¹

¹Department of Critical Care Medicine, Peking University People's Hospital, 11 Xizhimen South Street, Beijing, 100044, P.R. China.

|May 10, 2024

Summary

Probiotics and early feeding aid postoperative bowel recovery after colorectal surgery. Logistic regression effectively predicts the timing of first flatus and defecation, identifying key risk factors like age and medications.

Keywords:

Colorectal surgeries Machine learning Prediction models Time of first postoperative defecation Time of first postoperative flatus

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Area of Science:

Colorectal surgery outcomes
Gastrointestinal function recovery
Predictive modeling in medicine

Background:

Postoperative bowel dysfunction is a common complication after colorectal surgery.
Identifying risk factors and predicting recovery time are crucial for patient management.
Existing models for predicting postoperative flatus and defecation lack precision.

Purpose of the Study:

To identify independent risk factors for postoperative flatus and defecation after colorectal surgery.
To develop and evaluate predictive models for the timing of first postoperative flatus and defecation.
To compare the performance of various machine learning algorithms in predicting bowel function recovery.

Main Methods:

Retrospective analysis of 1558-1598 colorectal surgery patients (2015-2021).
Application of machine learning algorithms including logistic regression, random forest, Naïve Bayes, and extreme gradient boosting.
Evaluation of model performance using AUC, sensitivity, specificity, and Youden index.

Main Results:

Logistic regression demonstrated the highest predictive accuracy for flatus (AUC=0.78) and defecation (AUC=0.72).
Key predictors for flatus included age, oral laxatives, probiotics, oral antibiotics, operation duration, postoperative antibiotics, and feeding time.
Age, oral antibiotics, probiotics, and feeding time were significant predictors for defecation.

Conclusions:

Probiotics and early dietary intervention may promote faster bowel function recovery post-colorectal surgery.
Logistic regression is a reliable tool for predicting the timing of first postoperative flatus and defecation.
The identified risk factors can inform clinical strategies to optimize patient recovery.