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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.
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.
Abstract:
Feed intolerance (FI) is significantly associated with poor prognosis in critically ill patients. This study aimed to understand the characteristics of children with FI and identify the factors predicting FI in critically ill children. This retrospective cohort study was conducted between January 2017 and June 2022 in the Pediatric Intensive Care Unit of a specialized children's hospital. Eighteen factors, including age, body mass index for age z-score (BAZ) < -2, paediatric index of mortality (PIM)3 score, Glasgow coma scale score, mechanical ventilation (MV), enteral nutrition delay, vasoactive drugs, sedatives, sepsis, heart disease, neurological disease, hypokalemia, arterial PH < 7.35, arterial partial pressure of oxygen (PaO2), blood glucose, hemoglobin, total protein, and albumin, were retrieved to predict FI. The outcome was FI during PICU stay. During the study period, a total of 854 children were included, of which 215 children developed FI. Six predictors of FI were selected: PIM3 score, MV, sepsis, hypokalemia, albumin, and PaO2. Multivariate logistic regression analysis showed that higher PIM3 score, MV, sepsis, hypokalemia, and lower PaO2 were independent risk factors for FI, whereas higher albumin was an independent protective factor for FI. The C-index of the predictive nomogram of 0.943 was confirmed at internal validation to be 0.940, indicating a good predictive value of the model. Decision curve analysis shows good clinical applicability of the nomogram in predicting FI. Conclusion: The nomogram was verified to have a good prediction performance based on discrimination, calibration, and clinical decision analysis. What is Known: • Research has demonstrated that gastrointestinal (GI) dysfunction is not only a fundamental element of Multiple Organ Dysfunction Syndrome (MODS), but also the initiator of MODS. • Previous study has demonstrated a significant association between FI and poor prognosis in critically ill patients. What is New: • We excluded patients with primary gastrointestinal tract disease from our study, and we observed an incidence of FI of 25.2% in the Pediatric Intensive Care Unit (PICU). • Our study revealed that PIM3 score, MV, sepsis, hypokalemia, albumin, and PaO2 are significant predictors of FI.
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