The multivariate cox regression model for complete enteral nutrition after primary anastomosis in neonates with

Yang Chen1,2, Le-Dao Zhu1, Ling Zhou1

  • 1Shenzhen Children's Hospital, Shenzhen, China.

Frontiers in Pediatrics
|December 29, 2022
PubMed

Insights

This study developed a prediction model for complete enteral nutrition in neonates with intestinal atresia. Key factors like gestational age and feeding time help predict outcomes, aiding clinical decisions.

Area of Science:

  • Pediatric Surgery
  • Neonatal Nutrition
  • Clinical Prediction Modeling

Background:

  • Enteral feeding following intestinal atresia repair presents clinical challenges.
  • Existing research often focuses on isolated factors, lacking a comprehensive approach.

Purpose of the Study:

  • To comprehensively analyze multiple factors influencing complete enteral nutrition after primary intestinal anastomosis.
  • To establish a convenient and accurate prediction model for enteral feeding success in neonates.

Main Methods:

  • Retrospective analysis of neonatal intestinal atresia cases (January 2010 - June 2022).
  • Cox regression analysis to identify independent risk factors.
  • Development and validation of a nomogram using ROC, calibration, and decision curves.

Main Results:

  • Identified key predictors: gestational age, meconium peritonitis, anastomosis-to-ileocecal region distance, proximal-to-distal bowel diameter ratio, and initial feeding time.
  • Nomogram demonstrated strong predictive performance with AUCs of 0.765 (week 2), 0.785 (week 3), and 0.747 (week 4).
  • Calibration and decision curves confirmed the model's accuracy and clinical applicability.

Conclusions:

  • The developed prediction model holds significant clinical value for managing enteral feeding in neonates with intestinal atresia.
  • This tool can assist pediatricians in optimizing patient care, potentially reducing hospital costs and parental anxiety.
Abstract

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