Geisinger Health System, Danville, Pennsylvania.
Mayo Clinic, Rochester, Minnesota.
JAMA Netw Open. 2020 Aug 3;3(8):e2014874. doi: 10.1001/jamanetworkopen.2020.14874.
Atrial fibrillation (AF) is the most common cardiac arrhythmia, and multiple studies have reported increasing AF incidence rates over time, although the underlying explanations remain unclear.
To estimate AF incidence rates from 2006 to 2018 in a community-based setting and to investigate possible explanations for increasing AF by evaluating the changing features of incident AF cases and the pool of patients at risk for AF over time.
DESIGN, SETTING, AND PARTICIPANTS: This cohort study included 500 684 patients who received primary care and other health care services for more than 2 years through a single integrated health care delivery network in Pennsylvania. Data collection was conducted from January 2003 to December 2018. The base study population had no documentation of AF in the electronic medical record for at least 2 years prior to baseline. Data analysis was conducted from May to December 2019.
Incident AF cases were identified through diagnostic codes recorded at inpatient or outpatient encounters. Age- and sex-adjusted AF incidence rates were estimated by calendar year from 2006 to 2018 both overall and across subgroups, including according to diagnostic setting (inpatient vs outpatient) and priority (primary vs secondary diagnosis).
Among 514 293 patients meeting criteria for the base study population, the mean (SD) age at baseline was 47 (18) years and 282 103 (54.9%) were women; 13 609 (2.6%) met AF diagnostic criteria on or prior to the baseline date and were excluded. Among 500 684 patients free of AF at baseline, standardized AF incidence rates from 2006 to 2018 increased from 4.74 (95% CI, 4.58-4.90) to 6.82 (95% CI, 6.65-7.00) cases per 1000 person-years, increasing significantly over time (P < .001). Incidence rates increased in all age and sex subgroups, although absolute rate increases were largest among those aged 85 years or older. The fraction of incident AF cases among individuals aged 85 years or older increased from 135 of 1075 (12.6%) in 2006 to 451 of 2427 (18.6%) in 2017. Patients with incident AF were more likely over time to have high body mass index (1351 of 3389 patients [39.9%] in 2006-2008 vs 4504 of 9214 [48.9%] in 2015-2018; P < .001), hypertension (2764 [81.6%] in 2006-2008 vs 7937 [86.1%] in 2015-2018; P < .001), and ischemic stroke (328 [9.7%] in 2006-2008 vs 1455 [15.8%] in 2015-2018; P < .001), but less likely to have coronary artery disease (1533 [45.2%] in 2006-2008 vs 3810 [41.4%] in 2015-2018; P < .001). Among 22 077 new cases of AF, 9146 (41.4%) were diagnosed as inpatients and 5731 (26.0%) as the primary diagnosis. Incidence rates of AF increased significantly in all diagnostic setting and priority pairings (eg, inpatient, primary: rate ratio, 1.07; 95% CI, 1.06-1.08; P < .001). Among patients at risk for AF, high BMI and hypertension increased over time (BMI: 71 433 of 198 245 [36.0%] in 2007 to 130 218 of 282 270 [46.1%] in 2017; hypertension: 79 977 [40.3%] in 2007 to 134 404 [47.6%] in 2017). Documentation of short-term ECG increased over time (23 297 of 207 349 [11.2%] in 2008 to 45 027 [16.0%] in 2017); however, long-term ECG monitoring showed no change (1871 [0.9%] in 2007 to 4036 [1.4%] in 2017).
In this community-based study, AF incidence rates increased significantly during the study period. Concurrent increases were observed in AF risk factors in the at-risk population and short-term ECG use.
重要性:心房颤动(AF)是最常见的心律失常,多项研究报告称,随着时间的推移,AF 的发病率不断上升,但潜在的解释仍不清楚。
目的:评估随时间推移而发生的 AF 病例的变化特征和发生 AF 的高危人群的情况,以寻找可能导致 AF 发病率上升的原因,从而评估 2006 年至 2018 年社区环境中 AF 的发病率。
设计、地点和参与者:本队列研究纳入了宾夕法尼亚州一个单一综合医疗服务网络下的 500684 名接受初级保健和其他医疗服务的患者,这些患者接受了超过 2 年的医疗服务。数据收集于 2003 年 1 月至 2018 年 12 月。基础研究人群在基线前至少 2 年内的电子病历中没有 AF 的记录。数据分析于 2019 年 5 月至 12 月进行。
主要结果和措施:通过住院或门诊就诊记录的诊断代码确定新发 AF 病例。按日历年度(2006 年至 2018 年)和亚组(住院 vs 门诊)及优先顺序(主要 vs 次要诊断)估计年龄和性别调整后的 AF 发病率。
结果:在符合基础研究人群标准的 514293 名患者中,基线时的平均(SD)年龄为 47(18)岁,其中 282103 名(54.9%)为女性;13609 名(2.6%)在基线日期或之前符合 AF 诊断标准,被排除在外。在 500684 名基线时无 AF 的患者中,2006 年至 2018 年期间,标准化的 AF 发病率从 4.74(95%CI,4.58-4.90)增至 6.82(95%CI,6.65-7.00)/1000 人年,随时间推移呈显著上升趋势(P<0.001)。所有年龄和性别亚组的发病率均上升,但在 85 岁及以上人群中,绝对增长率最大。在 85 岁及以上的新发 AF 患者中,年龄 85 岁或以上的患者所占比例从 2006 年的 135 例(12.6%)增加到 2017 年的 451 例(18.6%)。随时间推移,新发 AF 患者更有可能患有高体重指数(2006-2008 年为 3389 例患者中的 1351 例[39.9%],2015-2018 年为 9214 例患者中的 4504 例[48.9%];P<0.001)、高血压(2006-2008 年为 2764 例[81.6%],2015-2018 年为 7937 例[86.1%];P<0.001)和缺血性卒中(2006-2008 年为 328 例[9.7%],2015-2018 年为 1455 例[15.8%];P<0.001),但较少患有冠心病(2006-2008 年为 1533 例[45.2%],2015-2018 年为 3810 例[41.4%];P<0.001)。在 22077 例新发 AF 患者中,9146 例(41.4%)为住院患者,5731 例(26.0%)为主要诊断。所有诊断设置和优先级组合的 AF 发病率均显著增加(例如,住院,主要:比值比,1.07;95%CI,1.06-1.08;P<0.001)。在发生 AF 的高危人群中,高 BMI 和高血压的比例随时间推移而增加(BMI:2007 年为 198245 例中的 71433 例[36.0%],2017 年为 282270 例中的 130218 例[46.1%];高血压:2007 年为 7997 例[40.3%],2017 年为 134404 例[47.6%])。短期心电图记录随时间推移而增加(2008 年为 207349 例中的 23297 例[11.2%],2017 年为 45027 例[16.0%]);然而,长期心电图监测没有变化(2007 年为 1871 例[0.9%],2017 年为 4036 例[1.4%])。
结论和相关性:在这项基于社区的研究中,研究期间 AF 的发病率显著增加。同时,高危人群中的 AF 风险因素和短期心电图的应用也有所增加。