Risk factors for prolonged respiratory support in late preterm infants: a LASSO-Cox regression analysis
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By
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Yu Huang
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Xiao-Shuang Bao
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Na Sun
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Kai Li
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Cheng-Cheng Huang
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Shi-Fai Zhang
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June 10, 2026
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Clinical Scorecard: Identifying Factors Influencing Extended Respiratory Support in Late Preterm Infants: A LASSO-Cox Regression Study
At a Glance
| Category | Detail |
|---|
| Condition | Respiratory support duration in late preterm infants |
| Key Mechanisms | LASSO-Cox regression for variable selection and prediction modeling |
| Target Population | Late preterm infants (gestational age 34 + 0–36 + 6 weeks) |
| Care Setting | Neonatal Intensive Care Unit (NICU) |
Key Highlights
- Study enrolled 365 late preterm infants to assess respiratory support duration.
- Key risk factors identified include multiple pregnancy and elevated superoxide dismutase (SOD).
- Protective factors include nasal continuous positive airway pressure (NCPAP) and lymphocyte percentage.
- Model achieved a C-index of 0.677 and time-dependent AUC values indicating moderate-to-good discrimination.
- SHAP analysis highlighted SOD, NCPAP, and lymphocyte percentage as primary drivers.
Guideline-Based Recommendations
Diagnosis
- Assess respiratory support needs based on gestational age and clinical indicators.
Management
- Utilize NCPAP early to potentially shorten respiratory support duration.
Monitoring & Follow-up
- Monitor superoxide dismutase levels and lymphocyte percentage as part of respiratory support management.
Risks
- Be aware of increased risk of prolonged respiratory support in cases of multiple pregnancies and elevated SOD.
Patient & Prescribing Data
Late preterm infants requiring respiratory support within 24 hours of birth.
NCPAP is associated with reduced duration of respiratory support.
Clinical Best Practices
- Implement LASSO-Cox regression models for individualized weaning assessments.
- Utilize SHAP analysis for transparent interpretation of weaning risk factors.
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