Literature DB >> 28027833

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

Yukihiro Koretsune1, Takeshi Yamashita2, Masahiro Yasaka3, Eisei Oda4, Daisuke Matsubayashi5, Kaori Ota5, Masafumi Kobayashi6, Yasuyuki Matsushita7, Jumpei Kaburagi8, Kei Ibusuki8, Atsushi Takita9, Mikio Iwashita8, Takuhiro Yamaguchi10.   

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 CHADS2 or CHA2DS2-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.
Copyright © 2017 Japanese College of Cardiology. Published by Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Bleeding event; Healthcare database; Non-valvular atrial fibrillation; Stroke; Validation

Mesh:

Substances:

Year:  2016        PMID: 28027833     DOI: 10.1016/j.jjcc.2016.10.015

Source DB:  PubMed          Journal:  J Cardiol        ISSN: 0914-5087            Impact factor:   3.159


  4 in total

1.  Accuracy of algorithms to identify patients with a diagnosis of major cancers and cancer-related adverse events in an administrative database: a validation study in an acute care hospital in Japan.

Authors:  Takashi Fujiwara; Takashi Kanemitsu; Kosei Tajima; Akinori Yuri; Masahiro Iwasaku; Yasuyuki Okumura; Hironobu Tokumasu
Journal:  BMJ Open       Date:  2022-07-13       Impact factor: 3.006

2.  Characterization and selection of Japanese electronic health record databases used as data sources for non-interventional observational studies.

Authors:  Yumi Wakabayashi; Masamitsu Eitoku; Narufumi Suganuma
Journal:  BMC Med Inform Decis Mak       Date:  2021-05-22       Impact factor: 2.796

3.  Duration and clinical outcome of dual antiplatelet therapy after percutaneous coronary intervention: a retrospective cohort study using a medical information database from Japanese hospitals.

Authors:  Hiroyoshi Yokoi; Eisei Oda; Kazuki Kaneko; Kenta Matsubayashi
Journal:  Cardiovasc Interv Ther       Date:  2022-02-09

4.  Similar thrombolysis outcomes in acute stroke patients with and without atrial fibrillation if pre-stroke CHA2DS2-VASc score is low: A retrospective study.

Authors:  Hung-Ming Wu; Chih-Ping Chung; Yung-Yang Lin
Journal:  Medicine (Baltimore)       Date:  2020-01       Impact factor: 1.817

  4 in total

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