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Prediction of Bronchopulmonary Dysplasia in Preterm Infants Using Postnatal Risk Factors
Li Ding1, Huawei Wang1, Haifeng Geng1
1Department of Neonatology, Children's Hospital of Soochow University, Suzhou, China.
Insights
This study identified key postnatal risk factors for bronchopulmonary dysplasia (BPD) in preterm infants. A predictive model combining biomarkers like sB7-H3 and IL-18 with clinical factors offers high accuracy for early BPD detection.
Area of Science:
- Neonatology
- Pediatric Pulmonology
- Critical Care Medicine
Background:
- Bronchopulmonary dysplasia (BPD) is a significant complication in preterm infants.
- Identifying reliable predictors of BPD is crucial for timely intervention.
Purpose of the Study:
- To identify postnatal risk factors for BPD in preterm infants (gestational age ≤32 weeks).
- To develop and evaluate an early predictive model for BPD occurrence.
Main Methods:
- Prospective longitudinal study of 72 preterm infants (30 with BPD, 42 controls).
- Collected perinatal data, neonatal critical illness score (NCIS), serum soluble B7-H3 (sB7-H3), and interleukin-18 (IL-18) levels.
- Utilized multiple logistic regression and ROC curve analysis to establish and assess a predictive model.
Main Results:
- Postnatal risk factors identified include electrolyte disturbances, hemodynamically significant patent ductus arteriosus (hs-PDA), and delayed enteral feeding.
- Elevated serum sB7-H3, IL-18, and NCIS were observed in the BPD group.
- A predictive model combining sB7-H3 (day 7), IL-18 (day 14), NCIS, and clinical factors demonstrated high predictive accuracy (AUC 0.960).
Conclusions:
- BPD development is multifactorial, influenced by several postnatal clinical and biological factors.
- The combined predictive model offers a promising tool for early identification of infants at high risk for BPD.
Abstract:
Objective: To identify postnatal risk factors for bronchopulmonary dysplasia (BPD) development in preterm infants with gestational age ≤32 weeks. Methods: Seventy-two preterm infants(30 with BPD and 42 non-BPD controls) admitted in the neonatal intensive care unit (NICU) of the Children's Hospital of Soochow University during 2017 were enrolled in this prospective longitudinal study. Perinatal clinical data, a neonatal critical illness score (NCIS), different soluble B7-H3(sB7-H3), and interleukin-18 (IL-18) levels by days after birth were collected. An early predictive model for BPD development was established based on clinical data using multiple logistic regression analysis. And the sensitivity and specificity of the model were assesed by ROC curve. Results: Electrolyte disturbances, hemodynamically significant patent ductus arteriosus (hs-PDA), and the age that infants achieved 120 kcal/kg.d via enteral feeding ≥40 days after birth were found to be associated with the BPD pathogenesis. Serum sB7-H3, IL-18, and NCIS were significantly higher in the BPD group compared to the non-BPD group (p < 0.05). BPD group had significantly lower enteral fluid and caloric intake compared to the non-BPD group at 1, 7, 14, and 28 days after birth. The risk factors were analyzed by multiple logistic regression and a predictive model of a combination of sB7-H3 (day 7), IL-18 (day 14), NCIS, and clinical risk factors was evaluated via ROC curve with an area under the curve (AUC) of 0.960 having sensitivity of 86.7% and a specificity of 97.6%, respectively. Conclusion: The causes of BPD are multifactorial postnatal risk factors. And the combination of sB7-H3 (day 7), IL-18 (day 14), NCIS, and clinical risk factors (electrolyte disturbances, hs-PDA, and the age that infants achieved 120 kcal/kg.d via enteral feeding ≥40 days after birth) might be served as an optimal predictive model for the occurrence of BPD.
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