预测布鲁加达综合征主要心律失常事件的多参数模型:系统性审查和批判性评估
Daniel A Gomes1, Pier D Lambiase2,3, Richard J Schilling3,4
1Department of Cardiology, Hospital de Santa Cruz, Lisbon, Portugal.
概括
目前用于预测布鲁加达综合征主要心律失常事件的风险模型存在重大开发和验证缺陷. 在临床使用之前,进一步的外部验证至关重要.
科学领域:
- 心脏病学 心脏病学
- 电子生理学 电子生理学
- 医疗信息学 医疗信息学
背景情况:
- 布鲁加达综合征 (BrS) 与重大心律失常事件 (MAE) 的风险有关.
- 为了预测BrS中MAE的几种风险模型存在,但它们的质量值得怀疑.
研究的目的:
- 评估 BrS MAE 预测模型中的方法质量和偏差风险.
- 为了确定现有的 BrS MAE 预测模型的歧视性性能.
主要方法:
- 在电子数据库中系统地搜索BRSMAE预测模型 (至2024年9月).
- 使用CHARMS和PROBAST工具评估方法质量和偏差风险.
- 聚合随机效应c-统计 (AUC) 用于计算模型性能.
主要成果:
- 分析了16项研究,其中包括11项独特的多变量得分.
- 所有模型都在多个领域表现出高偏差风险.
- 聚合的AUC显示出不同的表现,布鲁加达风险显示出良好的歧视 (AUC 0.81).
结论:
- 现有的BRSMAE预测多参数模型在开发和评估方面存在重大缺陷.
- 在临床实施之前,在不同的队列中进行外部验证是必不可少的.
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