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Updated: May 27, 2025

Transcutaneous Microcirculatory Imaging in Preterm Neonates
Published on: December 31, 2015
Predictive value of platelet parameters for bronchopulmonary dysplasia in preterm infants: A systematic review and
Shunyou Zhang1, Yulin He, Chonghai Liu
1Department of Pediatrics, Affiliated Hospital of North Sichuan Medical College, Nanchong, Sichuan, China.
Insights
Platelet (PLT) counts, mean platelet volume (MPV), and platelet mass index (PMI) can help predict bronchopulmonary dysplasia (BPD) in preterm infants. Early assessment of these PLT parameters, particularly around 3 days post-birth, shows significant predictive value for BPD development.
Area of Science:
- Neonatal Medicine
- Hematology
- Pediatric Pulmonology
Background:
- Bronchopulmonary dysplasia (BPD) is a significant complication in preterm infants.
- Early identification of infants at risk for BPD is crucial for timely intervention.
- Platelet (PLT) parameters are increasingly recognized for their potential role in neonatal health outcomes.
Purpose of the Study:
- To systematically evaluate the predictive capability of various platelet (PLT) parameters for the development of bronchopulmonary dysplasia (BPD) in preterm infants.
- To synthesize evidence from existing studies through meta-analysis to determine the reliability of PLT parameters as biomarkers for BPD risk.
- To explore potential factors influencing the predictive accuracy of PLT parameters, such as timing of measurement.
Main Methods:
- A comprehensive literature search was conducted across PubMed, Embase, Cochrane Library, and Web of Science databases up to December 2023.
- Ten studies involving 1637 preterm infants (540 with BPD) were included in the meta-analysis.
- Quality assessment used the Newcastle-Ottawa Scale; meta-analysis was performed using RevMan 5.4, with sensitivity and bias analyses conducted in Stata/SE 15.1.
Main Results:
- Meta-analysis revealed that platelet counts (PLTs), mean platelet volume (MPV), and platelet mass index (PMI) are significant predictors of BPD in preterm infants.
- Subgroup analyses indicated that PLT parameters assessed 3 days after birth demonstrated enhanced predictive performance for BPD.
- Sensitivity analyses confirmed the robustness of the findings, although significant publication bias was detected among the included studies.
Conclusions:
- Platelet count (PLT), mean platelet volume (MPV), and platelet mass index (PMI) possess demonstrable predictive value for bronchopulmonary dysplasia (BPD) in preterm neonates.
- These hematological parameters, especially when evaluated early in the neonatal period, can serve as valuable tools for risk stratification and early detection of BPD.
- Further research may be warranted to address publication bias and refine the clinical application of these platelet-derived biomarkers in neonatal care.
Background:
To systematically evaluate the predictive value of platelet (PLT) parameters for bronchopulmonary dysplasia (BPD) in preterm infants.
Methods:
PubMed, Embase, Cochrane Library, and Web of Science databases were searched for studies on PLT parameters predicting BPD in preterm infants from inception to December 2023. The Newcastle-Ottawa Scale was adopted to judge the article's quality. RevMan 5.4 was utilized for Meta-analysis, and Stata/SE 15.1 was applied for sensitivity analysis and Egger regression test.
Results:
Ten studies were included, including 1637 preterm infants, of which 540 were diagnosed with BPD. Meta-analysis showed that PLTs (SMD = -0.98, 95% CI [-1.57, -0.38], P = .001), mean platelet volume (MPV) (SMD = 0.67, 95% CI [0.19, 1.15], P = .006), and PMI (SMD = -0.47, 95% CI [-0.65, -0.28], P < .00001) could assist in predicting BPD in preterm infants. Subgroup analyses showed that PLT parameters 3 days after birth had better predictive performance for BPD in preterm infants. Sensitivity analysis implied no significant change in the results after excluding the studies 1 by 1, suggesting robust results of meta-analysis. There was a significant publication bias in the enrolled studies (P < .001).
Conclusion:
PLT, MPV, and PMI have a predictive value for BPD in preterm infants.

