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犬猫肺部超声评分:一项可靠性研究。

Lung ultrasound score in dogs and cats: A reliability study.

机构信息

Centro Veterinario Imperiese, Imperia, Italy.

Department of Veterinary Sciences, University of Parma, Parma, Italy.

出版信息

J Vet Intern Med. 2024 Jan-Feb;38(1):336-345. doi: 10.1111/jvim.16956. Epub 2023 Nov 27.

Abstract

BACKGROUND

Lung ultrasound (LUS) is a noninvasive tool for examining respiratory distress patients. The lung ultrasound score (LUSS) can be used to quantify and monitor lung aeration loss with good reliability.

HYPOTHESIS/OBJECTIVES: Assess the reliability of a new LUSS among raters with different levels of experience and determine how well the same raters agree on identifying patterns of LUS abnormalities.

ANIMALS

Forty LUS examinations of dogs and cats and 320 videos were reviewed from a digital database.

METHODS

Retrospective reliability study with post hoc analysis. Protocolized LUS were randomly selected; intrarater and interrater reliability of the LUSS and pattern recognition agreement among 4 raters with different levels of experience in LUS were tested.

RESULTS

The intrarater intraclass correlation coefficient (ICC) single measurement, absolute agreement, and 2-way mixed effects model was 0.967 for the high-experience rater (H-Exp), 0.963 and 0.952 for the medium-experience raters (M-Exp-1; M-Exp-2), and 0.950 for the low-experience rater (L-Exp). The interrater ICC average measurement, absolute agreement, and 2-way random effects model among the observers was 0.980. The Fleiss' kappa (k) values showed almost perfect agreement (k = 1) among raters in identifying pleural effusion and translobar tissue-like pattern, strong agreement for A-lines (k = 0.881) and B-lines (k = 0.806), moderate agreement (k = 0.693) for subpleural loss of aeration, and weak agreement (k = 0.474) for irregularities of the pleural line.

CONCLUSIONS AND CLINICAL IMPORTANCE

Our results indicate excellent intra- and interrater reliability for LUS scoring and pattern identification, providing a foundation for the use of the LUSS in emergency medicine and intensive care.

摘要

背景

肺部超声(LUS)是一种用于检查呼吸窘迫患者的非侵入性工具。肺部超声评分(LUSS)可用于定量和监测肺通气损失,具有良好的可靠性。

假设/目的:评估不同经验水平的评分者之间新的 LUSS 的可靠性,并确定相同的评分者在识别 LUS 异常模式方面的一致性程度。

动物

从数字数据库中回顾性地审查了 40 例犬和猫的 LUS 检查和 320 个视频。

方法

回顾性可靠性研究,事后分析。随机选择协议化的 LUS;测试了 4 名具有不同 LUS 经验水平的评分者的 LUSS 内部和内部评分者可靠性以及模式识别一致性。

结果

高经验评分者(H-Exp)的单测量、绝对一致性和 2 种混合效应模型的内部评分者组内相关系数(ICC)为 0.967,中经验评分者(M-Exp-1;M-Exp-2)为 0.963 和 0.952,低经验评分者(L-Exp)为 0.950。观察者之间的观察者间 ICC 平均测量、绝对一致性和 2 种随机效应模型为 0.980。在识别胸腔积液和跨叶组织样模式方面,评分者之间的 Fleiss'kappa(k)值显示出几乎完美的一致性(k=1),A 线(k=0.881)和 B 线(k=0.806)的一致性强,Subpleural 通气损失的一致性适中(k=0.693),胸膜线不规则的一致性弱(k=0.474)。

结论和临床意义

我们的结果表明 LUS 评分和模式识别具有极好的内部和观察者间可靠性,为急诊医学和重症监护中使用 LUSS 提供了基础。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bdf8/10800220/adf9fe22ecdc/JVIM-38-336-g001.jpg

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