Pin Wang , Lihong Duan , Congxin Sun , Yu Chen , Yanyan Peng , Guihong Chen , Lixia Wu , Yan Li
{"title":"应用多普勒超声技术早期检测早产儿支气管肺发育不良（BPD）。","authors":"Pin Wang , Lihong Duan , Congxin Sun , Yu Chen , Yanyan Peng , Guihong Chen , Lixia Wu , Yan Li","doi":"10.1016/j.slast.2025.100249","DOIUrl":null,"url":null,"abstract":"<div><h3>Objective</h3><div>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.</div></div><div><h3>Methods</h3><div>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.</div></div><div><h3>Results</h3><div>The severity of BPD was substantially correlated with all assessed Doppler ultrasound parameters (<em>P</em> < 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.</div></div><div><h3>Conclusion</h3><div>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.</div></div>","PeriodicalId":54248,"journal":{"name":"SLAS Technology","volume":"31 ","pages":"Article 100249"},"PeriodicalIF":3.7000,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Early detection of Bronchopulmonary Dysplasia (BPD) in preterm infants using doppler ultrasound technology\",\"authors\":\"Pin Wang , Lihong Duan , Congxin Sun , Yu Chen , Yanyan Peng , Guihong Chen , Lixia Wu , Yan Li\",\"doi\":\"10.1016/j.slast.2025.100249\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Objective</h3><div>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.</div></div><div><h3>Methods</h3><div>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.</div></div><div><h3>Results</h3><div>The severity of BPD was substantially correlated with all assessed Doppler ultrasound parameters (<em>P</em> < 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.</div></div><div><h3>Conclusion</h3><div>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.</div></div>\",\"PeriodicalId\":54248,\"journal\":{\"name\":\"SLAS Technology\",\"volume\":\"31 \",\"pages\":\"Article 100249\"},\"PeriodicalIF\":3.7000,\"publicationDate\":\"2025-04-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"SLAS Technology\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S247263032500007X\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2025/1/31 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q3\",\"JCRName\":\"BIOCHEMICAL RESEARCH METHODS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"SLAS Technology","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S247263032500007X","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/1/31 0:00:00","PubModel":"Epub","JCR":"Q3","JCRName":"BIOCHEMICAL RESEARCH METHODS","Score":null,"Total":0}
Early detection of Bronchopulmonary Dysplasia (BPD) in preterm infants using doppler ultrasound technology
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.
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.
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