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临床预测模型用于识别肺结核病患者的高风险因素
Weiwei Gao1, Chen Yang2, Tianzhen Wang1
1Department of Tuberculosis, The Second Hospital of Nanjing, Nanjing University of Chinese Medicine, Nanjing, 211132, China.
一个新的预测模型将Ki-67+CD4+T细胞和Ki-67+CD8+T细胞确定为肺结核瘤 (PTM) 的关键风险因素. 这种模型有助于临床医生在PTM早期预测,改善患者的结果.
科学领域:
- 在瘤学瘤学.
- 免疫学 免疫学 免疫学
- 肺部病理学 肺部病理学
背景情况:
- 肺结核 (PTM) 是一种与结核性肺溢液 (TPE) 相关的瘤病变.
- 由于PTM的确切病原性尚不清楚,因此需要确定高风险因素.
- 早期预测PTM对于及时干预和管理至关重要.
研究的目的:
- 开发和验证一种临床预测模型,用于识别患有PTM高风险的患者.
- 确定导致PTM发展的关键风险因素.
- 加强PTM的早期检测和管理策略.
主要方法:
- 从2013年3月到2024年4月对PTM或TPE患者进行的回顾性研究.
- 后勤回归,LASSO和最佳子集回归被用于识别预测因素.
- 模型性能使用ROC曲线,校准曲线,DCA和临床影响曲线进行评估,并进行内部和外部验证.
主要成果:
- 最终的预测模型确定了Ki-67+CD4+T细胞和Ki-67+CD8+T细胞是PTM的重要风险因素.
- 该模型显示出高预测精度 (AUC:0.987) 和强大的差异化.
- 内部和外部验证证实了该模型的强大性能和临床实用性.
结论:
- 结合Ki-67+CD4+T细胞和Ki-67+CD8+T细胞的预测模型可以促进早期PTM预测.
- 这个模型为临床医生在管理PTM风险方面提供了宝贵的见解.
- 早期预测可以改善患者管理和PTM的结果.
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