Early biomarkers as predictors for bronchopulmonary dysplasia in preterm infants: a systematic review

Zhi-Qun Zhang1, Xian-Mei Huang, Hui Lu

  • 1Division of Neonatology, Department of Pediatrics, Hangzhou First People's Hospital, No. 261 Huansha Road, Hangzhou, Zhejiang, 310002, China.

Insights

Early biomarkers like serum KL-6, CC16, NGAL, and end-tidal carbon monoxide (etCO) show promise for predicting bronchopulmonary dysplasia (BPD) in preterm infants. Further validation is needed to confirm their predictive value for BPD and neurodevelopmental outcomes.

Area of Science:

  • Neonatal Medicine
  • Biomarker Discovery
  • Respiratory Health

Background:

  • Bronchopulmonary dysplasia (BPD) is a chronic lung disease affecting preterm infants.
  • Early identification of BPD and prediction of neurodevelopmental outcomes are critical.
  • Existing literature on early predictive biomarkers for BPD in preterm infants requires synthesis.

Purpose of the Study:

  • To review and synthesize existing literature on early biomarkers for predicting BPD in preterm infants.
  • To identify promising biomarkers for early BPD diagnosis and neurodevelopmental outcome prediction.
  • To assess the quality of studies evaluating diagnostic accuracy of biomarkers for BPD.

Main Methods:

  • Systematic literature search of PubMed, EMBASE, and Google Scholar databases.
  • Independent review and quality assessment of identified studies using QUADAS criteria.
  • Analysis of sensitivity and specificity data for over 30 potential biomarkers.

Main Results:

  • 46 relevant articles were identified and summarized.
  • Sensitivity and specificity varied widely (0-100%) across biomarkers.
  • Serum KL-6, CC16, neutrophil gelatinase-associated lipocalin (NGAL), and end-tidal carbon monoxide (etCO) demonstrated high predictive performance in top-quality studies.

Conclusions:

  • Serum biomarkers and etCO show significant potential for predicting BPD and associated neurodevelopmental outcomes.
  • These promising biomarkers require validation in larger, diverse cohorts.
  • Further research is needed to confirm generalizability and clinical utility of these biomarkers for BPD prediction.
Abstract