皮肤冠状动脉干预后再入院的风险预测模型:系统性审查和元分析
Yijun Mao1, Hui Fan1, Wenjing He1
1Department of Nursing, Xianyang Central Hospital, 712000 Xianyang, Shaanxi, China.
Reviews in cardiovascular medicine
|October 15, 2025
概括
穿皮冠状动脉干预 (PCI) 后再入院的风险模型显示中度预测能力,但往往具有高偏差风险. 未来的研究需要更强大的模型,严格的方法和外部验证.
科学领域:
- 心脏病学 心脏病学
- 医疗保健服务研究 医疗服务研究
- 医疗信息学 医疗信息学
背景情况:
- 经皮肤冠状动脉干预 (PCI) 后重入医院构成重大临床和经济负担.
- 评估现有的风险预测模型对于改善患者的治疗结果和医疗资源分配至关重要.
研究的目的:
- 评估PCI后医院再入院风险模型的方法质量和预测性能.
- 确定重收的关键预测因素,并评估模型偏差和临床适用性.
主要方法:
- 在多个数据库中进行了全面的文献搜索,截至2024年11月1日.
- 包含了10项研究,使用了18个PCI再接收风险预测模型.
- 数据提取和质量评估由两名独立研究人员进行.
主要成果:
- 模型在样本大小 (247-388,078名参与者) 和再录取率 (0.70%-31.44%) 中存在差异.
- 常见的预测因素包括年龄,心力衰竭,糖尿病,慢性肺病,三血管疾病和性别.
- 九个模型的平均AUROC曲线为0.80,表明了中度的歧视,但八项研究具有高偏差风险.
结论:
- 现有的PCI再接收风险模型提供了适度的预测性歧视.
- 在大多数纳入研究中发现了高偏差风险,主要是由于数据分析缺陷.
- 未来的研究应该专注于开发更强大的模型,采用更大的样本大小,严格的方法和多中心外部验证.
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