血清生长分化因子15及ABC出血风险评分在预测老年非瓣膜病心房颤动患者口服非维生素K拮抗剂抗凝药出血风险的临床应用初探
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(1.中山大学孙逸仙纪念医院心血管内科,广东省广州市 510123;2.镜湖医院心血管内科,澳门特别行政区 999078)

作者简介:

柯于梵,博士研究生,主治医师,研究方向为心律失常诊治,E-mail为kenwood360@hotmail.com。通信作者伍卫,博士,主任医师,教授,博士研究生导师,研究方向为心律失常诊治,E-mail为wuwei9@mail.sysu.edu.cn。

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中国澳门特别行政区科学技术发展基金资助项目(087/2015/A3)


Clinical application of plasma growth differentiation factor-15 and ABC bleeding risk score in predicting bleeding risk in elderly patients with non-valvular atrial fibrillation on non-vitamin K antagonist oral anticoagulants
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1.Department of Cardiology, Sun Yat-sen Memorial Hospital of Sun Yat-sen University, Guangzhou, Guangdong 510123, China;2.Department of Cardiology, Kiang Wu Hospital, Macau 999078, China)

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    摘要:

    目的 探讨血清生长分化因子15(GDF-15)及以此为基础的ABC(年龄、生物标志物和临床病史)出血风险评分在老年(年龄≥65岁)非瓣膜病心房颤动(NVAF)患者使用非维生素K拮抗剂口服抗凝药物(NOAC)治疗后,随访期间发生出血事件的预测能力,并与传统HAS-BLED出血风险评分比较。方法 选取心血管内科住院收治的、首次诊断为NVAF且接受NOAC治疗的老年患者,采集入选患者的临床资料并分析血清GDF-15水平,计算以GDF-15等心脏生物标志物为基础的ABC出血风险评分及HAS-BLED出血风险评分。对患者出院后进行随访,记录随访期间各种出血事件,按各出血事件的严重程度[重大出血事件、临床相关非重大出血的消化道出血事件(CRNM-GIB)、轻微出血事件、无出血事件]分组,分别评价及比较ABC出血风险评分与HAS-BLED出血风险评分对各种程度出血事件的预测能力。结果 142例老年NVAF患者,CHA2DS2-VASc卒中风险评分为(4.86±1.75)分,HAS-BLED出血风险评分为(2.92±0.99)分,经ABC出血风险评分计算预测1年出血事件发生率为(5.72%±4.11%),平均随访(19.92±6.83)月,49例(49/142,34.5%)发生出血事件,其中脑出血3例,CRNM-GIB 19例,轻微出血27例。受试者工作特征(ROC)曲线显示,血清GDF-15水平对CRNM-GIB[曲线下面积(AUC)为0.8,5%CI为0.645~0.835,P<0.001]及全部出血事件有预测价值(AUC为0.0,5%CI为0.690~0.727,P<0.001),ABC出血风险评分对CRNM-GIB(AUC为0.8,5%CI为0.552~0.824,P<0.001)及全部出血事件有预测价值(AUC为0.9,5%CI为0.579~0.779,P<0.001)。与HAS-BLED出血风险评分相比,ABC出血风险评分预测脑出血能力较高(ABC出血风险评分AUC为0.8,5%CI为0.752~0.985;HAS-BLED出血风险评分AUC为0.5,5%CI为0.556~0.933,重分类改善指标(NRI)为84.17%,P=0.001),预测CRNM-GIB能力较低(ABC出血风险评分AUC为0.8,5%CI为0.552~0.824;HAS-BLED出血风险评分AUC为0.4,5%CI为0.639~0.849,NRI为-23.96%,P=0.025)。结论 血清GDF-15水平对老年NVAF患者口服NOAC的出血风险有预测价值。相比HAS-BLED评分,ABC出血风险评分能提高对脑出血事件的预测能力。

    Abstract:

    Aim To explore the ability of serum growth differentiation factor-15 (GDF-15) and the ABC (age, biomarkers, clinical history) bleeding risk score based on this in predicting hemorrhage events in elderly (age≥65 years) patients with non-valvular atrial fibrillation (NVAF) after oral administration of non-vitamin K antagonist oral anticoagulants (NOAC). Methods Elderly inpatients who were first diagnosed as NVAF and treated with NOAC were selected. The GDF-15 concentration in serum was analyzed and clinical data were collected in each enrolled patient. The ABC bleeding risk score was calculated, which is essential on biomarkers including GDF-15, and HAS-BLED bleeding risk score. The patients were divided into groups according to the occurrence of various bleeding events(major bleeding (MB), clinically relevant non-major gastrointestinal bleeding (CRNM-GIB),minor bleeding, and no bleeding events) during follow-up. The ABC bleeding risk score and HAS-BLED bleeding risk score were evaluated and compared for predicting various degrees of bleeding events groups. Results During the (19.92±6.83) months follow-up period, 49 cases (49/2,4.5%) had bleeding events, including 3 cases of cerebral hemorrhage, 19 cases of CRNM-GIB, and 27 cases of minor bleeding. Receiver operating characteristic (ROC)curve showed that serum GDF-15 concentration had predictive value in predicting CRNM-GIB (AUC 0.8,5%CI: 0.645~0.835, P<0.001) and all bleeding events (AUC 0.0,5%CI:0.690~0.727, P<0.001), and ABC bleeding risk score had predictive value in predicting CRNM-GIB (AUC 0.8,5%CI:0.552~0.824, P<0.001) and all bleeding events (AUC 0.9,5%CI:0.579~0.779, P<0.001).Compared with the HAS-BLED bleeding risk score, the ABC bleeding risk score had a higher ability to predict cerebral hemorrhage (AUC 0.8,5%CI:0.752~0.985 for ABC score vs. AUC 0.5,5%CI: 0.556~0.933 for HAS-BLED score, net reclassification improvement (NRI) 84.17%, P=0.001), less ability to predict CRNM-GIB (AUC 0.8,5%CI:0.552~0.824 for ABC score vs. AUC 0.4,5%CI:0.639~0.849 for HAS-BLED score, NRI -23.96%, P=0.025). Conclusion GDF-15 concentration in blood has predictive value for the bleeding risk of oral NOAC in elderly NVAF patients. Compared with HAS-BLED, ABC bleeding risk score can improve the ability to predict cerebral hemorrhage.

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柯于梵,钟桃娟,萧湛潮,梁逸伦,梁立彤,伍卫.血清生长分化因子15及ABC出血风险评分在预测老年非瓣膜病心房颤动患者口服非维生素K拮抗剂抗凝药出血风险的临床应用初探[J].中国动脉硬化杂志,2022,30(5):423~430.

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  • 收稿日期:2021-12-10
  • 最后修改日期:2022-03-07
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  • 在线发布日期: 2022-05-10