Risk factors and prediction model for necrotizing enterocolitis in preterm infants with gestational age ≤ 32 weeks: a retrospective cohort study - Report - MDSpire
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Risk factors and prediction model for necrotizing enterocolitis in preterm infants with gestational age ≤ 32 weeks: a retrospective cohort study
Clinical Report: Identifying Risk Factors and Developing a Predictive Model for NEC
Overview
This study developed a predictive model for necrotizing enterocolitis (NEC) risk in preterm infants born at or before 32 weeks gestation. The model demonstrated good discriminatory power and calibration.
Background
Necrotizing enterocolitis (NEC) is a severe gastrointestinal condition primarily affecting preterm infants, associated with high morbidity and mortality. The incidence of NEC increases with decreasing gestational age, making it a critical concern in neonatal care. Understanding risk factors and developing predictive models can aid in early identification and management of at-risk infants.
Data Highlights
Metric
Value
Incidence of NEC
12.27% (61/497)
AUC (Training Set)
0.917
AUC (Test Set)
0.906
Hosmer-Lemeshow Test (Test Set)
χ2 = 3.761, P = 0.807
Key Findings
The incidence of NEC among preterm infants with gestational age ≤32 weeks was 12.27%.
Independent risk factors for NEC included intrauterine growth restriction (IUGR), neonatal respiratory distress syndrome (NRDS), sepsis, and invasive ventilator use.
A higher 5-minute Apgar score was identified as a protective factor against NEC.
The predictive model demonstrated excellent discriminatory ability with AUC values of 0.917 and 0.906 for the training and test sets, respectively.
The model showed good calibration with no significant difference between predicted and observed probabilities (P = 0.807).
Clinical Implications
The predictive model can assist clinicians in identifying preterm infants at high risk for NEC, enabling timely interventions. Understanding the identified risk factors may guide clinical decision-making and improve outcomes for this vulnerable population.
Conclusion
The developed predictive model for NEC risk in preterm infants shows good discriminatory power and calibration.