Yuyuan Shu, Lulu Wang, Yimeng Wang, Jiangshan Tan, Han Zhang, Yanmin Yang
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Multivariate Cox regression analysis showed anemia significantly increased the risk of all-cause mortality (Hazard ratio [HR] = 1.935, 95% CI: 1.106-3.384, <i>P</i> = .021) and major adverse cardiovascular events (MACE; HR = 1.857, 95% CI: 1.171-2.945, <i>P</i> = .009), but not thromboembolic events (HR = 0.651, 95% CI: 0.210-2.022, <i>P</i> = .458). Receiver operating characteristic (ROC) curves showed that hemoglobin's area under the curve (AUC) for mortality and MACE was 0.722 and 0.710, respectively, improving to 0.770 and 0.772 when combined with the CHA<sub>2</sub>DS<sub>2</sub>-VASc score. Integrated discrimination improvement (IDI) and net reclassification improvement (NRI) metrics showed significant improvement in predicting mortality (NRI = 0.258, <i>P</i> = .004; IDI = 0.037, <i>P</i> < .001) and MACE (NRI = 0.232, <i>P</i> = .002; IDI = 0.026, <i>P</i> = .004). Adding hemoglobin to the CHA<sub>2</sub>DS<sub>2</sub>-VASc score enhances its predictive performance.</p>","PeriodicalId":8264,"journal":{"name":"Angiology","volume":" ","pages":"33197251333224"},"PeriodicalIF":2.2000,"publicationDate":"2025-04-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Association Between Anemia and Prognosis in Patients With Acute Coronary Syndrome and Atrial Fibrillation.\",\"authors\":\"Yuyuan Shu, Lulu Wang, Yimeng Wang, Jiangshan Tan, Han Zhang, Yanmin Yang\",\"doi\":\"10.1177/00033197251333224\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Patients with acute coronary syndromes (ACS) and atrial fibrillation (AF) have more complex conditions, making risk stratification crucial. The added discriminatory power of including anemia in the CHA<sub>2</sub>DS<sub>2</sub>-VASc ([congestive heart failure, hypertension, age [>65 = 1 point, >75 = 2 points], diabetes, previous stroke/systemic embolism/transient ischemic attack [2 points], vascular disease, age 65-74 years, and sex category]) score for poor prognosis in this population remains unclear. This study investigates the impact of anemia on 1166 patients with ACS and AF from 2017 to 2019. Multivariate Cox regression analysis showed anemia significantly increased the risk of all-cause mortality (Hazard ratio [HR] = 1.935, 95% CI: 1.106-3.384, <i>P</i> = .021) and major adverse cardiovascular events (MACE; HR = 1.857, 95% CI: 1.171-2.945, <i>P</i> = .009), but not thromboembolic events (HR = 0.651, 95% CI: 0.210-2.022, <i>P</i> = .458). Receiver operating characteristic (ROC) curves showed that hemoglobin's area under the curve (AUC) for mortality and MACE was 0.722 and 0.710, respectively, improving to 0.770 and 0.772 when combined with the CHA<sub>2</sub>DS<sub>2</sub>-VASc score. Integrated discrimination improvement (IDI) and net reclassification improvement (NRI) metrics showed significant improvement in predicting mortality (NRI = 0.258, <i>P</i> = .004; IDI = 0.037, <i>P</i> < .001) and MACE (NRI = 0.232, <i>P</i> = .002; IDI = 0.026, <i>P</i> = .004). Adding hemoglobin to the CHA<sub>2</sub>DS<sub>2</sub>-VASc score enhances its predictive performance.</p>\",\"PeriodicalId\":8264,\"journal\":{\"name\":\"Angiology\",\"volume\":\" \",\"pages\":\"33197251333224\"},\"PeriodicalIF\":2.2000,\"publicationDate\":\"2025-04-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Angiology\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1177/00033197251333224\",\"RegionNum\":3,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"PERIPHERAL VASCULAR DISEASE\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Angiology","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1177/00033197251333224","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"PERIPHERAL VASCULAR DISEASE","Score":null,"Total":0}
引用次数: 0
摘要
急性冠状动脉综合征(ACS)和心房颤动(AF)患者的病情更为复杂,因此风险分层至关重要。在CHA2DS2-VASc评分中纳入贫血([充血性心力衰竭,高血压,年龄[>65 = 1分,>75 = 2分],糖尿病,既往中风/全体性栓塞/短暂性脑缺血发作[2分],血管疾病,年龄65-74岁,性别类别])对该人群预后不良的额外区别作用尚不清楚。本研究调查了2017 - 2019年1166例ACS合并AF患者贫血的影响。多因素Cox回归分析显示,贫血显著增加全因死亡率(危险比[HR] = 1.935, 95% CI: 1.106 ~ 3.384, P = 0.021)和主要不良心血管事件(MACE;HR = 1.857, 95% CI: 1.171-2.945, P = 0.009),但没有血栓栓塞事件(HR = 0.651, 95% CI: 0.210-2.022, P = .458)。受试者工作特征(ROC)曲线显示,死亡率和MACE的血红蛋白曲线下面积(AUC)分别为0.722和0.710,与CHA2DS2-VASc评分联合后分别为0.770和0.772。综合歧视改善(IDI)和净再分类改善(NRI)指标对死亡率的预测有显著改善(NRI = 0.258, P = 0.004;Idi = 0.037, p p = 0.002;Idi = 0.026, p = 0.004)。在CHA2DS2-VASc评分中加入血红蛋白可提高其预测效果。
Association Between Anemia and Prognosis in Patients With Acute Coronary Syndrome and Atrial Fibrillation.
Patients with acute coronary syndromes (ACS) and atrial fibrillation (AF) have more complex conditions, making risk stratification crucial. The added discriminatory power of including anemia in the CHA2DS2-VASc ([congestive heart failure, hypertension, age [>65 = 1 point, >75 = 2 points], diabetes, previous stroke/systemic embolism/transient ischemic attack [2 points], vascular disease, age 65-74 years, and sex category]) score for poor prognosis in this population remains unclear. This study investigates the impact of anemia on 1166 patients with ACS and AF from 2017 to 2019. Multivariate Cox regression analysis showed anemia significantly increased the risk of all-cause mortality (Hazard ratio [HR] = 1.935, 95% CI: 1.106-3.384, P = .021) and major adverse cardiovascular events (MACE; HR = 1.857, 95% CI: 1.171-2.945, P = .009), but not thromboembolic events (HR = 0.651, 95% CI: 0.210-2.022, P = .458). Receiver operating characteristic (ROC) curves showed that hemoglobin's area under the curve (AUC) for mortality and MACE was 0.722 and 0.710, respectively, improving to 0.770 and 0.772 when combined with the CHA2DS2-VASc score. Integrated discrimination improvement (IDI) and net reclassification improvement (NRI) metrics showed significant improvement in predicting mortality (NRI = 0.258, P = .004; IDI = 0.037, P < .001) and MACE (NRI = 0.232, P = .002; IDI = 0.026, P = .004). Adding hemoglobin to the CHA2DS2-VASc score enhances its predictive performance.
期刊介绍:
A presentation of original, peer-reviewed original articles, review and case reports relative to all phases of all vascular diseases, Angiology (ANG) offers more than a typical cardiology journal. With approximately 1000 pages per year covering diagnostic methods, therapeutic approaches, and clinical and laboratory research, ANG is among the most informative publications in the field of peripheral vascular and cardiovascular diseases. This journal is a member of the Committee on Publication Ethics (COPE). Average time from submission to first decision: 13 days