Nomogram to predict feeding intolerance in critically ill children

Ying Lin1, Xiaomin Wang2, Lingyan Li3

  • 1Department of Nutrition, Tianjin Children's Hospital /Tianjin University Children's Hospital, 225 Longyan Rd, Beichen Dist, Tianjin, China. yinglin@alu.scu.edu.cn.

PubMed

Insights

Feed intolerance in critically ill children is predicted by higher PIM3 scores, mechanical ventilation, sepsis, and hypokalemia, with higher albumin levels being protective. This helps identify children at risk for better outcomes.

Area of Science:

  • Pediatric critical care medicine
  • Gastroenterology
  • Clinical prediction modeling

Background:

  • Feed intolerance (FI) is linked to poor prognosis in critically ill patients.
  • Gastrointestinal dysfunction is a key component and initiator of Multiple Organ Dysfunction Syndrome (MODS).
  • Previous research indicates a significant association between FI and adverse outcomes in critically ill populations.

Purpose of the Study:

  • To characterize feed intolerance (FI) in critically ill children.
  • To identify predictors of FI in this vulnerable patient group.
  • To develop and validate a predictive model for FI in pediatric intensive care.

Main Methods:

  • Retrospective cohort study of 854 children in a Pediatric Intensive Care Unit (PICU) from January 2017 to June 2022.
  • Analysis of 18 potential factors including clinical scores, interventions, and laboratory values to predict FI.
  • Development of a predictive nomogram using multivariate logistic regression and validated through internal validation and decision curve analysis.

Main Results:

  • Feed intolerance (FI) developed in 215 out of 854 children (25.2%).
  • Six significant predictors were identified: Pediatric Index of Mortality 3 (PIM3) score, mechanical ventilation (MV), sepsis, hypokalemia, albumin, and arterial partial pressure of oxygen (PaO2).
  • Higher PIM3 score, MV, sepsis, hypokalemia, and lower PaO2 were independent risk factors; higher albumin was a protective factor. The nomogram demonstrated strong predictive value (C-index 0.940).

Conclusions:

  • A validated nomogram effectively predicts feed intolerance (FI) in critically ill children.
  • Key predictors include PIM3 score, MV, sepsis, hypokalemia, albumin, and PaO2.
  • The nomogram shows good clinical applicability and predictive performance, aiding in early identification and management of FI.

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