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为预测异常FEV₁/FVC比率用于中国人口中COPD查的脉冲振荡计衍生方程:一个多中心横截面研究

Meishan Liu¹, Xin Yao², Yiwei Shi^3,4,5

¹Department of Respiratory and Critical Care Medicine, Beijing Institute of Respiratory Medicine and Beijing Chao-Yang Hospital, Capital Medical University, Beijing, China.

The Lancet regional health. Western Pacific

|March 19, 2025

概括

使用冲动振荡计 (IOS) 的新方程式可以帮助选慢性阻塞性肺病 (COPD). 这种方法比螺旋计更容易在初级保健机构进行大规模查.

科学领域:

肺部医学肺部医学
诊断工具诊断工具
呼吸系统健康呼吸系统健康

背景情况:

螺旋测量是诊断COPD的标准,但很难进行大规模查.
脉冲振荡计 (IOS) 提供了使用潮呼吸的更简单的替代方案.

研究的目的:

使用IOS开发一个方程,预测1秒内强迫呼气量 (FEV1) /强迫生命能力 (FVC) 的比率.
通过这个预测方程来实现COPD查.

主要方法:

利用了来自15113名患者的数据,这些患者接受了螺旋计和IOS.
使用多变量线性回归开发了支气管扩展前FEV1/FVC的预测模型.
通过对9586名患者进行外部验证该模型.

主要成果:

预测方程准确地确定了气流阻塞 (AUC=0.822内部,0.790外部) 和COPD.
临床算法将患者分为可能,可疑或不可能的COPD组.
实现了88.0%的灵敏度和77.0%的特异性,用于检测螺旋计定义的COPD.

结论:

开发的基于IOS的方程为COPD查提供了一个可行的工具.
这种方法特别适用于社区和初级保健机构.
有助于更容易和更容易获得的COPD检测.

关键词:

阻碍空气流的阻碍慢性阻塞性肺病是一种慢性阻塞性肺病.脉冲振荡测量是一种脉冲振荡测量.预测模型的预测模型.

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