皮肤冠状动脉干预后对比剂相关的急性损伤的风险预测模型:系统性审查
Hui Zhang1, Tongtong Chen1, Ning Chen2
1Department of Nursing, The First Affiliated Hospital of Shandong First Medical University & Shandong Provincial Qianfoshan Hospital, Jinan, China.
Angiology
|April 25, 2025
概括
本综述系统评估了经皮冠状动脉干预 (PCI) 的ST段升高心肌梗塞 (STEMI) 患者的对比相关急性损伤 (CA-AKI) 的风险预测模型. 大多数模型显示适度的预测能力,但具有偏差的高风险,限制了临床效用.
科学领域:
- 心脏病学 心脏病学
- 腎臟病學 (nephrology) 是一種醫學專業.
- 医疗信息学 医疗信息学
背景情况:
- 与对比相关的急性损伤 (CA-AKI) 是ST段升高心肌梗塞 (STEMI) 患者皮肤通冠状动脉干预 (PCI) 后的一个显著并发症.
- 风险预测模型旨在识别CA-AKI高风险患者,从而实现有针对性的预防策略.
研究的目的:
- 在接受PCI的STEMI患者中系统地审查和评估CA-AKI的已发布风险预测模型的质量.
- 评估现有的CA-AKI风险模型的预测性能,偏差风险和临床适用性.
主要方法:
- 在多个数据库 (PubMed,Embase,Web of Science等) 中进行全面的系统搜索. 调查时间为2024年7月1日.
- 数据提取和偏差风险评估分别使用CHARMS和PROBAST工具进行.
- 包括的研究分析了模型性能 (AUC/C指数) 并确定了预测因素.
主要成果:
- 审查中包括了16项涉及2784篇出版物的研究.
- 模型性能 (AUC/C指数) 在0.719到0.877.7之间.
- 常见的预测因素包括年龄,糖尿病,基利普级,以及动脉内气球 (IABP) 的使用. 13项研究具有高偏差风险,而3项研究不清楚,尽管适用性令人满意.
结论:
- 对于接受PCI的STEMI患者,现有的CA-AKI风险预测模型显示出可变的预测性能,但往往存在高偏差风险.
- 由于方法上的局限性,目前模型的临床实用性仍然不确定.
- 未来的模型开发应该优先考虑强大的方法,并探索先进的技术,如机器学习和自然语言处理,以提高预测准确性和临床适用性.
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