从无症状放射性支气管支气管病变预测临床支气管支气管病变
Yamin Fan1, Zhuanyun Li2, Nanchuan Jiang3
1Department of Respiratory and Critical Care Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, People's Republic of China.
无症状的放射性支气管炎 (ARB) 可以发展为临床支气管炎 (CB). 确定的主要风险因素包括年龄,预测的FEV1%,慢性肺炎,心力衰竭和特定的CT发现,使得更好的患者管理成为可能.
科学领域:
- 肺部病理学 肺部病理学
- 放射学 放射学是一门学科.
- 临床预测建模临床预测建模
背景情况:
- 持续的炎症可能导致无症状的放射性支气管炎症 (ARB),可能会发展为临床支气管炎症 (CB).
- 虽然CB研究得很好,但ARB到CB的演变及其相关的风险因素仍未得到充分研究.
- 了解ARB进展对于早期干预和预防症状性疾病的发展至关重要.
研究的目的:
- 在一组患者中研究ARB向CB的进展.
- 确定与ARB进展相关的临床和放射性风险因素.
- 开发和验证ARB到CB过渡的预测模型.
主要方法:
- 一项观察性队列研究包括370名患有放射性支气管炎的患者.
- 对296名ARB患者进行了跟踪,数据分为培训 (n=207) 和验证 (n=89) 组,用于模型开发.
- 使用LASSO回归,多变量后勤回归,ROC分析和校准曲线来构建和评估一个名ogram预测模型.
主要成果:
- 在296名ARB患者中,60人 (20.3%) 在随访期间进展到CB.
- 进展的重大风险因素包括年龄,预测的FEV1%较低,慢性肺炎和心力衰竭的存在,以及CT发现,如支气管切除程度,受影响的叶片数量和粘液塞.
- 开发的诺莫格拉姆模型表现出强大的预测性能,AUC为0.866 (训练组) 和0.860 (验证组).
结论:
- ARB可以发展为CB,受年龄,预测FEV1%,COPD,心力衰竭和特定CT成像特征等因素的影响.
- 纳入这些风险因素的诺莫格拉姆模型为监测ARB患者提供了实用和有效的工具.
- 该模型有助于随访管理和预防无症状放射性支气管支气管患者的临床支气管支气管病变.
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