Risk factors and prediction model for necrotizing enterocolitis in preterm infants with gestational age ≤ 32 weeks: a retrospective cohort study - Scorecard - MDSpire

Risk factors and prediction model for necrotizing enterocolitis in preterm infants with gestational age ≤ 32 weeks: a retrospective cohort study

  • By

  • Hao Li

  • GuiXiang Zeng

  • YaoXun Wu

  • Lin Cheng

  • LianFang Jing

  • HanLu Zhong

  • Yu Xie

  • Zhe Wei

  • KeMou Wu

  • Jun Fu

  • XiuLi Deng

  • HuaBo Tang

  • RenZhuang Huang

  • YanTing Lin

  • MingJie Lin

  • ShaSha Wei

  • DongMei Jiang

  • Yan Li

  • June 2, 2026

  • 0 min

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Clinical Scorecard: Identifying Risk Factors and Developing a Predictive Model for Necrotizing Enterocolitis in Preterm Infants Born at or Before 32 Weeks: A Retrospective Cohort Analysis

At a Glance

CategoryDetail
Condition
Key MechanismsMultifactorial disease with significant risk factors including gestational age, birth weight, and various neonatal conditions.
Target Population
Care Setting

Key Highlights

  • Incidence of NEC among preterm infants was 12.27%.
  • Independent risk factors identified include IUGR, NRDS, sepsis, and invasive ventilator use.
  • A higher 5-minute Apgar score is a protective factor against NEC.
  • The predictive model demonstrated an AUC of 0.917 in the training set and 0.906 in the test set.
  • Good model calibration was indicated by the Hosmer–Lemeshow test.

Guideline-Based Recommendations

Diagnosis

  • Utilize clinical indicators such as gestational age, birth weight, and Apgar scores for NEC risk assessment.

Management

  • Implement preventive strategies based on identified risk factors for NEC.

Monitoring & Follow-up

  • Regularly assess preterm infants for signs of NEC, particularly those with identified risk factors.

Risks

  • Monitor for complications associated with NEC, including neurodevelopmental impairment and intestinal failure.

Patient & Prescribing Data

Preterm infants with gestational age ≤32 weeks.

Focus on early identification and management of risk factors to prevent NEC.

Clinical Best Practices

  • Incorporate a nomogram prediction model for assessing NEC risk in clinical settings.
  • Ensure comprehensive data collection for accurate risk stratification.

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