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

IF 5.8 2区 医学 Q1 Medicine
Xinao Lin, Hehua Zhang, Xuefeng Wang, Ruijie Zhang, Lu Zhang, Xueqin You, Lingling Xiao, Chuyan Wu, Feng Jiang, Jimei Wang
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引用次数: 0

Abstract

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

Methods: This 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.

Results: After 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%.

Conclusions: The 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.

汇合 B 线的比例可预测足月儿出生后不久的呼吸支持情况。
目的开发并评估用于预测足月婴儿呼吸支持的简化肺部超声(LUS)方法的预测价值:这项观察性、前瞻性、诊断准确性研究于 2023 年 6 月至 12 月在一家三级学术医院进行。共有 361 名新生儿在出生后 1 小时内接受了 LUS 检查。利用每个 LUS 征兆的比例来预测他们的呼吸系统结果,并与 LUS 评分模型进行比较。在确定了最佳预测 LUS 征象后,根据不同的扫描区域创建了简化模型。通过比较完整模型和 LUS 评分模型的准确性,选出最佳简化模型:随访三天后,91 名婴儿需要呼吸支持,270 名婴儿仍然健康。汇合 B 线比例对呼吸支持的预测准确率很高,曲线下面积 (AUC) 为 89.1%(95% 置信区间 [CI]:84.5-93.7%)。最佳简化模型涉及扫描 R/L 1-4 区域,其 AUC 为 87.5%(95% 置信区间 [CI]:82.6-92.3%)。与 LUS 评分模型相比,完整模型和最佳简化模型都显示出更高的预测准确性。简化模型的最佳临界值为 15.9%,灵敏度为 76.9%,特异度为 91.9%:结论:LUS 中汇合 B 线的比例可有效预测出生后不久的足月儿是否需要呼吸支持,其可靠性高于 LUS 评分模型。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Respiratory Research
Respiratory Research RESPIRATORY SYSTEM-
CiteScore
9.70
自引率
1.70%
发文量
314
审稿时长
4-8 weeks
期刊介绍: Respiratory Research publishes high-quality clinical and basic research, review and commentary articles on all aspects of respiratory medicine and related diseases. As the leading fully open access journal in the field, Respiratory Research provides an essential resource for pulmonologists, allergists, immunologists and other physicians, researchers, healthcare workers and medical students with worldwide dissemination of articles resulting in high visibility and generating international discussion. Topics of specific interest include asthma, chronic obstructive pulmonary disease, cystic fibrosis, genetics, infectious diseases, interstitial lung diseases, lung development, lung tumors, occupational and environmental factors, pulmonary circulation, pulmonary pharmacology and therapeutics, respiratory immunology, respiratory physiology, and sleep-related respiratory problems.
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