开发和验证用于预测COPD的nomogram:韩国一项全国性基于人口的研究
Seungeun Oh1, Hyungkyun Mok2, Kyuhee Jo3
1Seoul Women's College of Nursing, Seoul, South Korea.
Medicine
|September 27, 2024
概括
在韩国,一种新型的诺米图谱有助于早期检测慢性阻塞性肺病 (COPD). 该工具识别了关键的风险因素,改善了无螺旋计诊断,并影响了公共卫生.
科学领域:
- 肺部医学 肺部医学
- 流行病学 流行病学
- 医疗信息学 医疗信息学
背景情况:
- 慢性阻塞性肺病 (COPD) 是全球主要的死亡原因,由于危险因素和人口老龄化,韩国患病率越来越高.
- 慢性肺炎的诊断严重不足,这凸显了对可访问的早期检测方法的需求.
- 现有的诊断方法往往需要螺旋计,这可能不是在所有初级保健机构都能得到的.
研究的目的:
- 利用国家卫生数据开发和验证用于早期慢性阻塞性肺病 (COPD) 检测的预测性名录.
- 确定与COPD发病率相关的主要人口,社会经济和健康相关因素.
- 为初级保健机构创建一个工具,以促进早期COPD诊断,而不需要螺旋计.
主要方法:
- 利用来自第七届韩国国家健康和营养检查调查 (2016-2018) 的数据,对10819名40岁以上的成年人进行了螺旋计结果.
- 采用多变量后勤回归来确定COPD的重要预测因子.
- 通过使用接收器操作特征曲线,校准图表和与内部启动相符的对应指数 (C-index) 验证了名录的预测性能.
主要成果:
- 确定了1059名 (14.0%) 患有COPD的参与者.
- 慢性肺炎的主要风险因素包括男性性别,70岁以上,低教育程度,农村居住,目前吸烟,体重不足,结核病或喘病史.
- 开发的名图表显示出高预测能力,曲线下的面积 (AUC) 为0.822,C指数为0.822.
结论:
- 为早期检测COPD在初级保健机构中,开发了一种经过验证的诺姆图.
- 这种工具有效地识别高风险患有COPD的个体,而不需要螺旋计.
- 通过这种名图,对COPD的早期和适当的诊断可以显著改善公共卫生结果.
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