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开发和验证一个Nomogram来预测空气道纤维化在气管支气管结核的肺结核

Wei Zhao, Weiming Fang, Dehu Peng

Respiration; international review of thoracic diseases

|September 15, 2025

概括

这项研究开发了一种经过验证的诺姆图谱,用于预测气道纤维化瘤在气管支气管结核病 (TBTB) 患者的风险. 早期识别高风险个体可以及时进行干预,以预防严重的呼吸道并发症.

科学领域:

肺部医学肺部医学
传染性疾病传染性疾病
关键护理医学关键护理医学

背景情况:

气道纤维化是气管支气管结核病 (TBTB) 的严重并发症,导致显著的呼吸道发病率.
目前用于早期预测TBTB相关气道纤维化的风险的方法由于缺乏验证的工具而受到限制.

研究的目的:

开发和验证在TBTB患者中呼吸道纤维化的预测模型.
确定风险较高的肺结核患者早期风险分层的关键预测因子,风险较高的呼吸道纤维化.

主要方法:

对305名接受支气管镜干预的TBTB患者进行了回顾性队列研究.
考克斯回归模型开发并使用引导重新抽样进行内部验证.
使用C指数,ROC-AUC,校准和决策曲线分析来评估性能.

主要成果:

气道纤维化发生在60.33%的患者中.
确定了8个独立预测因素:症状持续时间,肺叶参与,糖尿病,TBTB类型,干预频率,唾液AFB等级,NLR和CD8+T细胞计数.
开发的名图表显示出强大的预测歧视 (C指数为0.77),随着时间的推移,准确性越来越高,证实了临床效用.

结论:

一个经过验证的诺姆图有效地预测了TBTB患者的呼吸道纤维化风险.
该工具能够提前识别高风险个体,以进行有针对性的干预.
这有助于主动管理以减轻呼吸道并发症.

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