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使用HAVOC评分来识别发生心房颤动风险最高的患者。

Use of the HAVOC Score to Identify Patients at Highest Risk of Developing Atrial Fibrillation.

作者信息

Elkind Mitchell S V, Wachter Rolf, Verma Atul, Kowey Peter R, Halperin Jonathan L, Gersh Bernard J, Ziegler Paul D, Pouliot Erika, Franco Noreli, Reiffel James A

机构信息

Departments of Neurology and Epidemiology, Columbia University, New York, New York, USA.

University Hospital Leipzig, Leipzig, Germany.

出版信息

Cardiology. 2021;146(5):633-640. doi: 10.1159/000517827. Epub 2021 Jun 22.

Abstract

BACKGROUND

Recent studies using insertable cardiac monitors (ICMs) show a high incidence of atrial fibrillation (AF). Further identifying subsets of patients who could benefit most from ICMs is desirable. We evaluated whether the HAVOC risk score which predicts AF in patients with cryptogenic stroke also predicts AF detection by ICMs in those without recent stroke.

METHODS

Participants were included from the prospective, industry-sponsored REVEAL AF study assessing AF incidence in patients with CHADS2 scores ≥3 or =2 with 1 or more additional AF risk factors, who had ICM data and were not receiving anti-arrhythmic drugs. Ischemic stroke occurring less than 1 year prior to enrollment or documented AF were exclusion criteria. AF was defined as an adjudicated ICM-detected episode ≥6 min in duration. HAVOC scores were calculated by assigning 4 points for congestive heart failure, 2 points for each of hypertension, age ≥75 years, valvular disease, and coronary artery disease, and 1 point for each of peripheral vascular disease and obesity (body mass index >30). Scores classified risk as low (0-4), intermediate (5-9), or high (10-14); corresponding AF detection rates were compared using the log-rank test. AF incidence rates in patients with and without a history of remote stroke at baseline were also compared.

RESULTS

Among 391 participants, the mean age was 71.5 ± 9.8 years and 186 (47.6%) were women. In total, 130 (33.2%) developed AF over 18 months. Stratification by HAVOC risk score was: 95 (24%) low, 241 (62%) intermediate, and 55 (14%) high. At 18 months, AF incidence in patients with low HAVOC scores (19.5%) was lower than in those with intermediate (32.1%) or high (34.2%) scores. AF incidence was similar among those with (n = 78) versus without (n = 313) remote stroke (27.3% vs. 29.8%; median time from stroke to ICM insertion was 4.2 [2.2-8.2] years).

CONCLUSIONS

The HAVOC risk score identified a subset of individuals at greatest risk of developing AF, while AF incidence rates were similar among those with and without remote stroke. The use of the HAVOC score could help identify those at greatest likelihood of manifesting AF during long-term monitoring.

摘要

背景

近期使用植入式心脏监测器(ICM)的研究显示房颤(AF)发病率很高。进一步确定能从ICM中获益最大的患者亚组很有必要。我们评估了预测隐源性卒中患者房颤的HAVOC风险评分是否也能预测近期无卒中患者通过ICM检测到房颤的情况。

方法

参与者来自前瞻性、行业赞助的REVEAL AF研究,该研究评估CHADS2评分≥3或=2且有1个或更多额外房颤风险因素、有ICM数据且未接受抗心律失常药物治疗的患者的房颤发病率。入组前不到1年发生的缺血性卒中或有记录的房颤为排除标准。房颤定义为经判定ICM检测到的持续时间≥6分钟的发作。HAVOC评分通过以下方式计算:充血性心力衰竭计4分,高血压、年龄≥75岁、瓣膜病和冠状动脉疾病各计2分,外周血管疾病和肥胖(体重指数>30)各计1分。评分将风险分为低(0 - 4)、中(5 - 9)或高(10 - 14);使用对数秩检验比较相应的房颤检测率。还比较了基线时有和无既往卒中史患者的房颤发病率。

结果

391名参与者中,平均年龄为71.5±9.8岁,186名(47.6%)为女性。共有130名(33.2%)在18个月内发生房颤。按HAVOC风险评分分层为:低风险95名(24%),中风险241名(62%),高风险55名(14%)。18个月时,HAVOC低风险评分患者的房颤发病率(19.5%)低于中风险(32.1%)或高风险(34.2%)评分患者。有(n = 78)和无(n = 313)既往卒中患者的房颤发病率相似(27.3%对29.8%;卒中至ICM植入的中位时间为4.2[2.2 - 8.2]年)。

结论

HAVOC风险评分识别出了发生房颤风险最高的个体亚组,而有和无既往卒中患者的房颤发病率相似。使用HAVOC评分有助于识别在长期监测中最有可能出现房颤的人群。

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