在中国东部开发和验证一个预测多药耐药结核病风险的诺姆图
Fang He1,2, Shu Wang3, Hua Wang4
1Department of Geriatric Respiratory and Critical Care Medicine, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China.
PeerJ
|March 4, 2025
概括
一种新型的纳米图准确地预测了结核病患者使用临床特征和实验室结果的多药耐药结核病 (MDR-TB). 该工具有助于早期MDR-TB评估和管理.
科学领域:
- 医学研究 医学研究
- 传染性疾病 传染性疾病
- 公共卫生 公共卫生
背景情况:
- 多药耐药结核病 (MDR-TB) 构成了全球重大卫生挑战.
- 准确及时诊断MDR-TB对于有效的患者管理和疾病控制至关重要.
研究的目的:
- 开发和外部验证一种名谱,用于估计被诊断为结核病 (TB) 的患者中MDR-TB的概率.
- 为医疗保健专业人员提供临床实用的工具,以评估MDR-TB风险.
主要方法:
- 使用了453名结核病患者的培训队列和116名结核病患者的验证队列.
- 使用最小绝对收缩和选择运算符 (LASSO) 回归来选择八个预测变量.
- 用多变量逻辑回归来构建名图,使用C指数,校准图和决策曲线分析评估模型性能.
主要成果:
- 开发的名图表显示了良好的区别 (C指数 = 0.752) 和训练队列中的校准.
- 外部验证证实了该模型的稳定性,达到0.825.8的高C指数.
- 决策曲线分析表明,名图具有显著的临床实用性.
结论:
- 一个基于八个临床和实验室变量的名图成功构建和验证了MDR-TB风险评估.
- 该工具为评估MDR-TB风险提供了一种新的方法,有可能改善早期检测和治疗策略.
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