血液透析患者心血管事件的风险预测模型:系统性审查
Tiantian Gan1, Hua Guan2, Pengli Li3
1School of Nursing, Chengdu University of Traditional Chinese Medicine, Chengdu, China.
Seminars in dialysis
|September 24, 2023
概括
这次系统性审查评估了血液透析患者的心血管事件风险模型. 这些模型显示出良好的性能,但需要改进的方法和临床使用的验证.
科学领域:
- 腎臟病學 (nephrology) 是一種醫學專業.
- 心脏病学 心脏病学
- 流行病学 流行病学
背景情况:
- 心血管 (CV) 事件是接受血液透析 (HD) 的患者的主要关注点.
- 准确的风险预测模型对于管理这个人群中的心血管风险至关重要.
研究的目的:
- 系统地审查现有的风险预测模型,对HD患者心血管事件的风险预测.
- 为这些模型的应用和优化提供参考.
主要方法:
- 在PubMed,Cochrane图书馆,Web of Science和Embase数据库中进行了全面的搜索,截至2023年2月1日.
- 预测模型偏差风险评估工具 (PROBAST) 用于评估包含的研究的偏差风险和适用性.
- 两位作者独立进行了文献搜索,选择和选.
主要成果:
- 包括12个模型的9项研究,显示曲线下的面积 (AUC) 值在0.70和0.88.8之间.
- 发现的常见预测因素包括年龄,糖尿病 (DM),C反应蛋白 (CRP) 和专蛋白 (ALB).
- 模型具有良好的适用性,但存在偏差风险,特别是在数据处理和验证方面.
结论:
- 审查的模型表明,在识别高风险的疾病发病患者方面,具有良好的预测性能.
- 未来的努力应专注于改进建模技术和外部验证,以加强临床指导.
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