CHA2DS2-VASc评分与心房颤动患者主动脉钙化的相关性及性别特异性预测价值OA
Association between CHA2DS2-VASc score and aortic calcification in patients with atrial fibrillation and its sex-specific predictive value
背景与目的:主动脉钙化是心血管不良事件及主动脉疾病的重要危险因素,但其在心房颤动(AF)患者中的风险评估工具仍有限.CHA2DS2-VASc评分广泛用于AF患者卒中风险评估,其与主动脉钙化之间的关系尚未明确.本研究探讨CHA2DS2-VASc评分与AF患者主动脉钙化的相关性及其预测价值. 方法:回顾性纳入2015年2月—2022年2月在中南大学湘雅三医院接受胸部非增强多层螺旋 CT(MSCT)检查的AF患者1 538例.依据MSCT结果将患者分为主动脉钙化组和非钙化组.采用受试者工作特征(ROC)曲线分析CHA2DS2-VASc评分预测主动脉钙化的最佳截断值;采用多因素Logistic回归模型分析CHA2DS2-VASc评分与主动脉钙化的独立相关性. 结果:共1 251例(81.3%)患者存在主动脉钙化.钙化组年龄及高血压、糖尿病、冠心病、脑梗死、心力衰竭等危险因素发生率均高于非钙化组(均P<0.05),CHA2DS2-VASc评分亦明显增加[3.0(2.0~4.0)vs.1.0(0~2.0),P<0.001].随着CHA2DS2-VASc 评分增加,主动脉钙化患病率逐渐升高(P趋势<0.001).ROC曲线分析显示,男性患者预测主动脉钙化的最佳截断值为评分2(AUC=0.737,95%CI=0.697~0.776),女性患者为评分 3(AUC=0.730,95%CI=0.673~0.787).多因素Logistic回归分析显示,CHA2DS2-VASc 评分每增加1分,主动脉钙化风险增加 91.2%(OR=1.912,95%CI=1.638~2.232,P<0.001).男性评分≥2(OR=5.528,95%CI=3.240~9.434)及女性评分≥3(OR=9.295,95%CI=4.390~19.681)均为主动脉钙化的独立危险因素(均P<0.001). 结论:CHA2DS2-VASc 评分与AF患者主动脉钙化风险密切相关,且具有良好的预测能力.男性≥2、女性≥3可作为识别主动脉钙化高风险人群的参考界值,为AF患者血管病变风险分层提供简便工具.
Background and Aims:Aortic calcification is an important risk factor for adverse cardiovascular outcomes and aortic diseases.However,effective tools for assessing the risk of aortic calcification in patients with atrial fibrillation(AF)remain limited.The CHA2DS2-VASc score is widely used for stroke risk stratification in AF,but its association with aortic calcification has not been fully elucidated.This study aimed to investigate the relationship between the CHA2DS2-VASc score and aortic calcification and to evaluate its predictive value in patients with AF. Methods:A total of 1538 patients with AF who underwent multi-slice computed tomography(MSCT)at the Third Xiangya Hospital,Central South University between February 2015 and February 2022 were retrospectively included.Patients were classified into aortic calcification and non-calcification groups according to MSCT findings.Receiver operating characteristic(ROC)curve analysis was performed to determine the optimal cut-off values of the CHA2DS2-VASc score for predicting aortic calcification.Multivariable logistic regression analysis was used to evaluate the independent association between the CHA2DS2-VASc score and aortic calcification. Results:Aortic calcification was identified in 1251 patients(81.3%).Compared with the non-calcification group,patients with aortic calcification were older and had higher prevalences of hypertension,diabetes mellitus,coronary artery disease,cerebral infarction,and heart failure(all P<0.05).The CHA2DS2-VASc score was significantly higher in the calcification group[3.0(2.0-4.0)vs.1.0(0-2.0),P<0.001].The prevalence of aortic calcification increased progressively with increasing CHA2DS2-VASc scores(P for trend<0.001).ROC analysis demonstrated that the optimal cut-off value was 2 points in men(AUC=0.737,95%CI=0.697-0.776)and 3 points in women(AUC=0.730,95%CI=0.673-0.787).Multivariable logistic regression showed that each 1-point increase in the CHA2DS2-VASc score was independently associated with a higher risk of aortic calcification(OR=1.912,95%CI=1.638-2.232,P<0.001).Male patients with a score≥2 and female patients with a score≥3 had significantly increased risks of aortic calcification[OR=5.528(95%CI=3.240-9.434)and 9.295(95%CI=4.390-19.681),respectively;both P<0.001]. Conclusion:The CHA2DS2-VASc score is significantly associated with the risk of aortic calcification in patients with AF and demonstrates good predictive performance.Sex-specific thresholds of≥2 for men and≥3 for women may facilitate risk stratification and early identification of patients at high risk for aortic calcification.
吴甜;石灿;连慧琳;陈松华;张思仪;郭韧;李筱旻;李岱
中南大学湘雅三医院 药学部,湖南 长沙 410013中南大学湘雅三医院 放射科,湖南 长沙 410013中南大学湘雅三医院 药学部,湖南 长沙 410013中南大学湘雅三医院 药学部,湖南 长沙 410013中南大学湘雅三医院 药学部,湖南 长沙 410013中南大学湘雅三医院 药学部,湖南 长沙 410013中南大学湘雅医院 Ⅰ期临床试验研究中心,湖南 长沙 410008中南大学湘雅医院 Ⅰ期临床试验研究中心,湖南 长沙 410008
医药卫生
主动脉疾病血管钙化CHA2DS2-VASc评分心房颤动危险因素
Aortic DiseasesVascular CalcificationAtrial FibrillationCHA2DS2-VASc ScoreRisk Factors
《中国普通外科杂志》 2026 (6)
1173-1180,8
国家自然科学基金资助项目(82504928)湖南省自然科学基金资助项目(2025JJ50666,2025JJ50595,2024JJ8154).
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