Simplified lung ultrasound method to predict the respiratory support needs of neonates whose mothers had pregnancy complications: a diagnostic accuracy study

IF 0.7 4区 医学 Q4 OBSTETRICS & GYNECOLOGY
Xin-Ao Lin, Xuefeng Wang, Xiao-Bo Fan, G. Xi, Ji-mei Wang
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Abstract

Objective: Some pregnancy complications are associated with respiratory problems in infants. Early identification and implementation of respiratory support are needed for these infants. This study aimed to (1) use lung ultrasound (LU) for predicting the respiratory support requirements of infants and (2) simplify the examination method to facilitate its clinical application. Methods: Neonates underwent LU examinations within 1 hour of birth. The infants were divided into a pregnancy complication (PC) group and a control group according to their mothers’ clinical data. The primary outcome measure was the need for respiratory support. Predictive models were established based on the differences in LU patterns between the two groups. The predictive value of the models was compared with that of the LU score (LUS) system, which has been widely used in other studies. Simplified models were established by analyzing the predictive effects of LU patterns in different parts of the lungs. Predictive reliability was tested using the receiver operating characteristic curve analysis. Results: PC and control groups had 29 and 117 neonates, respectively; a total of 22 neonates required respiratory support. The PC and control groups showed differences in respiratory support requirements, A-lines, and coalesced B-lines. The percentages of A-lines and coalesced B-lines were associated with respiratory support requirements. The optimal cutoff values for the percentages of the A-lines and coalesced B-lines were 55.7% and 24.5%, respectively. Similar effects were obtained by calculating the percentage of coalesced B-lines in four areas (R3, R4, L3, and L4). These methods were judged as more visual and convenient than LUS assessment. Conclusion: The percentages of A-line and coalesced B-lines on LU images can be used to predict the respiratory support needs of neonates whose mothers had pregnancy complications. Only four areas (R3, R4, L3, and L4) had similar predictive values.
简化肺部超声方法预测母亲有妊娠并发症的新生儿呼吸支持需求:诊断准确性研究
目的:一些妊娠并发症与婴儿的呼吸系统问题有关。这些婴儿需要早期识别和实施呼吸支持。本研究旨在(1)使用肺部超声(LU)预测婴儿的呼吸支持需求;(2)简化检查方法,以促进其临床应用。方法:新生儿出生后1小时内进行LU检查。根据母亲的临床数据,将婴儿分为妊娠并发症(PC)组和对照组。主要的结果衡量标准是是否需要呼吸支持。根据两组LU模式的差异建立预测模型。将模型的预测值与在其他研究中广泛使用的LU评分(LUS)系统的预测值进行了比较。通过分析肺不同部位LU模式的预测效果,建立了简化的模型。使用接收机工作特性曲线分析测试了预测可靠性。结果:PC组和对照组分别有29例和117例新生儿;共有22名新生儿需要呼吸支持。PC组和对照组在呼吸支持需求、A线和合并B线方面存在差异。A线和合并B线的百分比与呼吸支持需求相关。A线和合并B线的百分比的最佳截止值分别为55.7%和24.5%。通过计算四个区域(R3、R4、L3和L4)中聚结的B线的百分比,获得了类似的效果。这些方法被认为比LUS评估更直观、更方便。结论:LU图像上A线和合并B线的百分比可用于预测母亲有妊娠并发症的新生儿的呼吸支持需求。只有四个区域(R3、R4、L3和L4)具有相似的预测值。
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来源期刊
Reproductive and Developmental Medicine
Reproductive and Developmental Medicine OBSTETRICS & GYNECOLOGY-
CiteScore
1.60
自引率
12.50%
发文量
384
审稿时长
23 weeks
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