Evidence map›Paper›PMID 39138486›Full record

Observational studyRespiratory research2024

Proportion of confluent B-Lines predicts respiratory support in term infants shortly after birth.

Xinao Lin, Hehua Zhang, Xuefeng Wang, Ruijie Zhang, Lu Zhang, Xueqin You, Lingling Xiao, Chuyan Wu, Feng Jiang, Jimei Wang

Abstract readObservational Study
In one paragraph

Observational study in Respiratory research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

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0 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

10 authors.

Xinao Lin *Department of Neonatology, Obstetrics and Gynecology Hospital of Fudan University, No. 128, Shenyang Rd, Yangpu District, Shanghai, 200082, China.ORCID http://orcid.org/0000-0001-5120-7077
Hehua Zhang *Department of Neonatology, Fuyang Women and Children's Hospital, Fuyang, China.
Xuefeng WangDepartment of Neonatology, Obstetrics and Gynecology Hospital of Fudan University, No. 128, Shenyang Rd, Yangpu District, Shanghai, 200082, China.
Ruijie ZhangDepartment of Neonatology, Obstetrics and Gynecology Hospital of Fudan University, No. 128, Shenyang Rd, Yangpu District, Shanghai, 200082, China.
Lu ZhangDepartment of Neonatology, Obstetrics and Gynecology Hospital of Fudan University, No. 128, Shenyang Rd, Yangpu District, Shanghai, 200082, China.
Xueqin YouDepartment of Neonatology, Obstetrics and Gynecology Hospital of Fudan University, No. 128, Shenyang Rd, Yangpu District, Shanghai, 200082, China.
Lingling XiaoDepartment of Neonatology, Obstetrics and Gynecology Hospital of Fudan University, No. 128, Shenyang Rd, Yangpu District, Shanghai, 200082, China.
Chuyan WuDepartment of Rehabilitation Medicine, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Feng JiangDepartment of Neonatology, Obstetrics and Gynecology Hospital of Fudan University, No. 128, Shenyang Rd, Yangpu District, Shanghai, 200082, China. dxyjiang@163.com.ORCID http://orcid.org/0000-0002-3525-8752
Jimei WangDepartment of Neonatology, Obstetrics and Gynecology Hospital of Fudan University, No. 128, Shenyang Rd, Yangpu District, Shanghai, 200082, China. wjm821920@163.com.ORCID http://orcid.org/0000-0002-6755-8709

Funding

Science and Technology Innovation Program of Shanghai 21Y21900802Shanghai Municipal Health Commission 202040402
6 · The paper itself

Abstract

objectiveTo develop and evaluate the predictive value of a simplified lung ultrasound (LUS) method for forecasting respiratory support in term infants.

methodsThis observational, prospective, diagnostic accuracy study was conducted in a tertiary academic hospital between June and December 2023. A total of 361 neonates underwent LUS examination within 1 h of birth. The proportion of each LUS sign was utilized to predict their respiratory outcomes and compared with the LUS score model. After identifying the best predictive LUS sign, simplified models were created based on different scan regions. The optimal simplified model was selected by comparing its accuracy with both the full model and the LUS score model.

resultsAfter three days of follow-up, 91 infants required respiratory support, while 270 remained healthy. The proportion of confluent B-lines demonstrated high predictive accuracy for respiratory support, with an area under the curve (AUC) of 89.1% (95% confidence interval [CI]: 84.5-93.7%). The optimal simplified model involved scanning the R/L 1-4 region, yielding an AUC of 87.5% (95% CI: 82.6-92.3%). Both the full model and the optimal simplified model exhibited higher predictive accuracy compared to the LUS score model. The optimal cut-off value for the simplified model was determined to be 15.9%, with a sensitivity of 76.9% and specificity of 91.9%.

conclusionsThe proportion of confluent B-lines in LUS can effectively predict the need for respiratory support in term infants shortly after birth and offers greater reliability than the LUS score model.

Indexed as

LungPredictive Value of TestsUltrasonographyFemaleFollow-Up StudiesHumansInfant, NewbornMaleProspective StudiesRespiration, ArtificialTerm BirthLung ultrasoundRespiratory supportTerm infant

Identifiers

PMID39138486
PMCPMC11323528

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LicenceCC BY-NC-ND
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.