Early Detection of Bronchopulmonary Dysplasia (BPD) in Preterm Infants Using Doppler Ultrasound Technology.

IF 2.5 4区医学 Q3 BIOCHEMICAL RESEARCH METHODS

SLAS Technology Pub Date : 2025-01-30 DOI:10.1016/j.slast.2025.100249

Pin Wang, Lihong Duan, Congxin Sun, Yu Chen, Yanyan Peng, Guihong Chen, Lixia Wu, Yan Li

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引用次数: 0

Abstract

Objective: The purpose of this research is to determine if Doppler ultrasonography technology may be used to forecast the onset of bronchopulmonary dysplasia (BPD) in premature babies in the early postnatal stage.

Methods: On days 3, 7, 14, and 28 after delivery, Doppler ultrasonography exams were performed on a prospective cohort of 170 preterm newborns. Measurements were made of parameters such right ventricular output (RVO), systolic-to-diastolic ratio (S/D ratio), pulmonary artery acceleration time (PAAT), and velocity time integral (VTI). The predictive value of these indicators was evaluated using Kaplan-Meier survival analysis and multivariate logistic regression.

Results: The severity of BPD was substantially correlated with all assessed Doppler ultrasound parameters (P<0.05). With an area under the curve (AUC) of 0.76, PAAT in particular demonstrated a reasonable capacity for prediction. A considerably greater cumulative incidence was found by Kaplan-Meier survival analysis.

Conclusion: In conclusion, Doppler ultrasonography technology is a useful technique for identifying BPD in premature babies early on. High-risk babies can be efficiently identified by PAAT and VTI in particular, allowing for prompt intervention and possibly better results.

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来源期刊

SLAS Technology Computer Science-Computer Science Applications

CiteScore

6.30

自引率

7.40%

发文量

审稿时长

106 days

期刊介绍： SLAS Technology emphasizes scientific and technical advances that enable and improve life sciences research and development; drug-delivery; diagnostics; biomedical and molecular imaging; and personalized and precision medicine. This includes high-throughput and other laboratory automation technologies; micro/nanotechnologies; analytical, separation and quantitative techniques; synthetic chemistry and biology; informatics (data analysis, statistics, bio, genomic and chemoinformatics); and more.