关于预测老年SARS-CoV-2感染患者肺纤维化病的回顾性队列分析
Fuguo Gao1,2, Guangdong Hou3, Yan Hou2
1Department of Pulmonary and Critical Care Medicine, Tangdu Hospital, The Fourth Military Medical University, Xi'an, China.
Frontiers in cellular and infection microbiology
|June 23, 2025
概括
一种新型的诺米图可以预测老年COVID-19患者的肺纤维化 (PF),使用中性粒细胞百分比,CRP,性别,诊断和症状发病时间. 该工具有助于对高风险个体进行早期风险评估和管理.
科学领域:
- 肺部病理学 肺部病理学
- 传染性疾病 传染性疾病
- 老年病的医生 老年病的医生
背景情况:
- 老年人对SARS-CoV-2 (COVID-19) 很容易感染,因此患有危及生命的肺纤维化 (PF) 的风险很大.
- 目前缺乏对老年人COVID-19后的PF的预测模型,这凸显了临床管理中的关键差距.
研究的目的:
- 开发和验证一种预测性名谱,用于识别在感染SARS-CoV-2后患肺纤维化高风险的老年患者.
- 建立一个临床工具,用于早期风险分层和及时干预脆弱的老年人群.
主要方法:
- 来自两个独立医院的60岁及以上的COVID-19患者的回顾性分析.
- 利用最小绝对收缩和选择运算符 (LASSO) 回归来确定PF的最有价值预测因素 (MVP).
- 使用后勤回归构建和验证了一个名录,评估校准,临床效用和辨别能力 (AUC).
主要成果:
- 中性粒细胞百分比,C反应蛋白 (CRP),性别,诊断分类和从症状发作到住院的时间被确定为关键预测因素.
- 开发的名图表显示了良好的校准,临床实用性和训练,验证和测试队列中的区分能力 (AUC从0.735到0.777).
- 为了将患者分为高风险和低风险组,建立了131.026的最佳切线得分.
结论:
- 这项研究引入了第一个专为预测SARS-CoV-2感染后老年患者肺纤维化而设计的诺米克图.
- 诺米图作为一种有价值的临床工具,用于风险评估,并为这个脆弱的人群提供早期管理策略.
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