开发和验证用于预测咳变种喘诊断的诺米克图
Jiao Min1, Xiaomiao Tang1,2, Di Zhang1
1Department of Pulmonary and Critical Care Medicine, The First Affiliated Hospital of Soochow University, Suzhou, Jiangsu, 215006, China.
BMC pulmonary medicine
|January 19, 2025
概括
一种新型的诺米图准确地预测了使用临床因素和肺功能的咳变异性喘 (CVA). 这种工具有助于诊断,特别是当支气管挑测试是不可行的,改善慢性咳的患者护理.
科学领域:
- 肺部病理学 肺部病理学
- 医学诊断 医学诊断 医学诊断
- 喘研究 喘研究
背景情况:
- 咳变体喘 (CVA) 与慢性咳一起出现,使诊断复杂化.
- 像支气管挑这样的标准诊断测试可能并不总是实用的.
- 确定可靠的CVA预测因子对于及时和准确的诊断至关重要.
研究的目的:
- 开发和验证咳变种喘的预测模型 (nomogram).
- 确定CVA的独立临床和功能预测因素.
- 为在常规临床实践中提供一种辅助心血管梗塞诊断的工具.
主要方法:
- 对241名患有慢性咳的门诊患者进行了回顾性分析,这些患者接受了支气管挑测试.
- 单变量和多变量逻辑回归用于识别CVA预测因子.
- 使用Bootstrap重抽样,ROC曲线和DCA.进行Nomogram构建和验证.
主要成果:
- 156名门诊患者 (64.7%) 被诊断出患有心肌梗塞.
- 独立预测因素包括冷空气触发因素,刺鼻气味暴露,咳分期,过敏性鼻炎史和MMEF%预测.
- 命名图表显示出良好的分辨率 (AUC=0.829) 和校准,C指数为0.920.
结论:
- 一个经过验证的名图有效地根据临床和肺功能数据预测CVA.
- 这种工具可以帮助临床医生诊断心血管梗塞,特别是当标准测试违禁或不可用时.
- 该名图为改善心血管病的诊断和管理提供了一种实际方法.
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