CHA2DS2-VASc 和 HAS-BLED 在预测心房颤动和癌症患者中风和出血方面的性能。

European heart journal open Pub Date : 2024-06-26 eCollection Date: 2024-07-01 DOI:10.1093/ehjopen/oeae053
Alyaa M Ajabnoor, Salwa S Zghebi, Rosa Parisi, Darren M Ashcroft, Corinne Faivre-Finn, Mamas A Mamas, Evangelos Kontopantelis
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引用次数: 0

摘要

目的:比较CHA2DS2-VASc和HAS-BLED评分对患有和未患有癌症的心房颤动(房颤)患者的预测性:我们利用英格兰临床实践研究数据链(Clinical Practice Research Datalink)的数据,对2009年至2019年新诊断为房颤的患者进行了一项回顾性队列研究。癌症定义为乳腺癌、前列腺癌、结直肠癌、肺癌或血癌病史。我们计算了中风和大出血事件 1 年风险的 CHA2DS2-VASc 和 HAS-BLED 评分。通过判别[接收器工作特征曲线下面积(AUC)]和校准图估算评分性能。在 141 796 名房颤患者中,10.3% 患有癌症。76)、结直肠癌 AUC = 0.70(0.66,0.75)、乳腺癌 AUC = 0.70(0.66,0.74)和肺癌 AUC = 0.69(0.60,0.79),而无癌症 AUC = 0.73(0.72,0.74)。前列腺癌 AUC = 0.58 (0.55, 0.61)、血液肿瘤 AUC = 0.59 (0.55, 0.64)、结直肠癌 AUC = 0.57 (0.53, 0.61)、乳腺癌 AUC = 0.56 (0.52, 0.61) 和肺癌 AUC = 0.59 (0.51, 0.67)的 HAS-BLED 分辨能力较差,而非癌症 AUC = 0.61 (0.60, 0.62)。在所有研究队列中,CHA2DS2-VASc评分和HAS-BLED评分均校准良好:结论:在心房颤动人群中的某些癌症队列中,CHA2DS2-VASc 在预测心房颤动患者中风方面的表现与未患癌症的心房颤动患者相似。我们的研究结果强调了在制定风险评分时癌症诊断的重要性,以及优化 HAS-BLED 风险评分以更好地服务于癌症心房颤动患者的机会。
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Performance of CHA2DS2-VASc and HAS-BLED in predicting stroke and bleeding in atrial fibrillation and cancer.

Aims: To compare the predictive performance of CHA2DS2-VASc and HAS-BLED scores in atrial fibrillation (AF) patients with and without cancer.

Methods and results: Using data from the Clinical Practice Research Datalink in England, we performed a retrospective cohort study of patients with new diagnoses of AF from 2009 to 2019. Cancer was defined as history of breast, prostate, colorectal, lung, or haematological cancer. We calculated the CHA2DS2-VASc and HAS-BLED scores for the 1-year risk of stroke and major bleeding events. Scores performance was estimated by discrimination [area under the receiver operating characteristic curve (AUC)] and calibration plots. Of 141 796 patients with AF, 10.3% had cancer. The CHA2DS2-VASc score had good to modest discrimination in prostate cancer AUC = 0.74 (95% confidence interval: 0.71, 0.77), haematological cancer AUC = 0.71 (0.66, 0.76), colorectal cancer AUC = 0.70 (0.66, 0.75), breast cancer AUC = 0.70 (0.66, 0.74), and lung cancer AUC = 0.69 (0.60, 0.79), compared with no-cancer AUC = 0.73 (0.72, 0.74). HAS-BLED discrimination was poor in prostate cancer AUC = 0.58 (0.55, 0.61), haematological cancer AUC = 0.59 (0.55, 0.64), colorectal cancer AUC = 0.57 (0.53, 0.61), breast cancer AUC = 0.56 (0.52, 0.61), and lung cancer AUC = 0.59 (0.51, 0.67), compared with no-cancer AUC = 0.61 (0.60, 0.62). Both the CHA2DS2-VASc score and HAS-BLED score were well calibrated across all study cohorts.

Conclusion: Amongst certain cancer cohorts in the AF population, CHA2DS2-VASc performs similarly in predicting stroke to AF patients without cancer. Our findings highlight the importance of cancer diagnosis during the development of risk scores and opportunities to optimize the HAS-BLED risk score to better serve cancer patients with AF.

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