基于脆弱指数得分的慢性病整体生存预测模型:使用NHANES数据进行构建和验证
Ting Li1, Zaoqiang Lin1, Zeyong Tang1
1Department of Nephrology, Beijing University of Chinese Medicine Shenzhen Hospital (Longgang), Shenzhen, China.
Renal failure
|April 22, 2025
概括
脆弱性预测慢性病 (CKD) 患者的生存率. 一个使用脆弱指数 (FI) 评分的新模型显示了对CKD整体存活 (OS) 的强大预测能力.
科学领域:
- 腎臟病學 (nephrology) 是一種醫學專業.
- 老年学是一门学科.
- 生物统计学 生物统计学
背景情况:
- 脆弱性是慢性病 (CKD) 患者不良结果的已知预测因素.
- 确定整体生存 (OS) 的关键因素对于管理CKD患者至关重要.
- 这项研究旨在将脆弱的预测能力与其他因素进行比较,并开发CKD中OS的预测模型.
研究的目的:
- 在慢性病 (CKD) 患者中,将虚弱的预测能力与其他临床因素对整体存活 (OS) 的预测能力进行比较.
- 开发和验证用于预测CKD患者的OS的预后诺莫格拉姆模型.
- 在大量CKD患者中确定OS的关键预测因子.
主要方法:
- 利用了3714名CKD参与者在国家健康和营养检查调查 (2005-2018) 中的数据.
- 采用拉索-考克斯回归来确定42个因素中的显著预测因素.
- 开发了一个使用11个关键变量的预后名录,并使用C指数,AUC和校准曲线进行评估.
主要成果:
- 虚弱指数 (FI) 分数成为CKD患者中最强的生存预测指标 (HR=76.54).
- 预后诺米图表表现出强大的预测性能,在训练组中,1年至10年的AUC值在79.53%至81.34%之间.
- 诺米图的修正后C指数为0.76 (95% CI:0.750.78),在内部验证后显示了令人满意的准确性.
结论:
- 虚弱指数 (FI) 评分是慢性脏病 (CKD) 患者整体存活 (OS) 的非常重要的预测指标.
- 开发的纳米图,结合FI得分,作为一个有价值和有前途的工具来预测CKD患者的OS.
- 这种预后模型可以帮助临床医生对慢性病患者进行风险分层和个性化管理策略.
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