在急性心肌梗塞整合癌症数据后出血风险预测:更新的PRECISE-DAPT癌症评分
Mohamed Dafaalla1, Francesco Costa2, Evangelos Kontopantelis3
1Keele Cardiovascular Research Group, Centre for Prognosis Research, Keele University, Keele Rd, Stoke-on-Trent ST5 5BG, UK.
European heart journal
|July 17, 2024
概括
将癌症添加到PRECISE-DAPT得分中,可以提高其在预测ST升高心肌梗塞患者大出血风险方面的准确性. 修改后的分数可以更好地识别癌症患者的高出血风险,而不会影响没有癌症的人的表现.
科学领域:
- 心脏病学 心脏病学
- 在瘤学瘤学.
- 临床风险预测预测
背景情况:
- PRECISE-DAPT评分用于预测ST升高心肌梗塞 (STEMI) 患者的出血风险.
- 癌症是一种重要的并发症,可能会影响STEMI患者的出血风险.
研究的目的:
- 评估将癌症诊断纳入作为预测器对PRECISE-DAPT得分的表现的影响.
- 评估是否添加癌症可以提高STEMI患者出血风险分层的准确性.
主要方法:
- 分析了来自英国注册 (2005-2019) 的STEMI患者的国家队列 (n=216,709).
- 通过添加癌症作为二进制变量,创建了一个修改后的PRECISE-DAPT得分.
- 使用考克斯回归和C统计学,将修改后得分的表现与原始得分进行了比较.
主要成果:
- 修改后的分数显示,与原来的分数 (C-统计数据0.60) 相比,歧视程度略高 (C-统计数据0.64).
- 在癌症患者中,修改后的得分将94.0%重新归类为高出血风险 (HBR),而原始得分为65.5%.
- 在没有癌症的患者中,修改后的得分保持了表现 (C统计值0.63).
结论:
- 将癌症纳入PRECISE-DAPT得分可以显著改善出血风险预测,特别是在癌症患者中.
- 修改后的分数有效地将大多数癌症患者识别为HBR,增强了临床决策.
- 增强的得分保持了它在非癌症STEMI患者的预测能力.
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