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医疗保健数据库在心房颤动流行病学研究中的实用性。

Usefulness of a healthcare database for epidemiological research in atrial fibrillation.

作者信息

Koretsune Yukihiro, Yamashita Takeshi, Yasaka Masahiro, Oda Eisei, Matsubayashi Daisuke, Ota Kaori, Kobayashi Masafumi, Matsushita Yasuyuki, Kaburagi Jumpei, Ibusuki Kei, Takita Atsushi, Iwashita Mikio, Yamaguchi Takuhiro

机构信息

National Hospital Organization, Osaka National Hospital, Osaka, Japan.

The Cardiovascular Institute, Tokyo, Japan.

出版信息

J Cardiol. 2017 Aug;70(2):169-179. doi: 10.1016/j.jjcc.2016.10.015. Epub 2016 Dec 24.

Abstract

BACKGROUND

Big data are gaining attention as a valuable resource for providing insights into a range of issues and questions in healthcare. We evaluated the capacity of a Japanese healthcare database to conduct epidemiological research in non-valvular atrial fibrillation (NVAF).

METHODS AND RESULTS

We examined data collected between April 2008 and September 2013 in a Japanese healthcare database. Prior to the risk factor analysis, we validated the criteria for defining the occurrence of a stroke, systemic embolic event (SEE), and intracranial bleeding event during the study period. The validity was considered appropriate based on the resulting high positive predictive values. The data of 18,998 NVAF patients demonstrated that the incidence rates of stroke, SEE, and any bleeding events were 2.2, 0.08, and 2.4 per 100 patient-years, respectively. In patients who had not been treated with an anticoagulant, incidence of stroke significantly increased in higher CHADS or CHADS-VASc score, 1.7 and 1.5 fold by 1 point increase, respectively. The use of a proton pump inhibitor (PPI) was also identified as an independent risk factor for stroke. In patients who had been treated with an anticoagulant, the independent risk factors for any bleeding events were hypertension, renal dysfunction, hepatic failure, medical history of stroke, older age (≥65 years), use of nonsteroidal anti-inflammatory drug, and PPIs.

CONCLUSION

The data obtained in this study were comparable with results obtained in prospective cohort studies conducted in Japan.

摘要

背景

大数据作为一种宝贵资源,正受到越来越多的关注,它有助于深入了解医疗保健领域的一系列问题。我们评估了一个日本医疗数据库在非瓣膜性心房颤动(NVAF)方面进行流行病学研究的能力。

方法与结果

我们检查了2008年4月至2013年9月期间在一个日本医疗数据库中收集的数据。在进行风险因素分析之前,我们验证了研究期间中风、全身性栓塞事件(SEE)和颅内出血事件发生的定义标准。基于由此产生的高阳性预测值,认为该有效性是合适的。18998例NVAF患者的数据表明,中风、SEE和任何出血事件的发生率分别为每100患者年2.2、0.08和2.4例。在未接受抗凝治疗的患者中,CHADS或CHADS-VASc评分越高,中风发生率显著增加,评分每增加1分,分别增加1.7倍和1.5倍。使用质子泵抑制剂(PPI)也被确定为中风的独立危险因素。在接受抗凝治疗的患者中,任何出血事件的独立危险因素包括高血压、肾功能不全、肝功能衰竭、中风病史、老年(≥65岁)、使用非甾体抗炎药和PPI。

结论

本研究获得的数据与在日本进行的前瞻性队列研究结果相当。

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