Background characteristics and anticoagulant usage patterns of elderly non-valvular atrial fibrillation patients in the ANAFIE registry: a prospective, multicentre, observational cohort study in Japan

ObjectiveTo explore anticoagulant usage patterns stratified by stroke and bleeding risk in elderly patients with non-valvular atrial fibrillation (NVAF).DesignProspective, multicentre, observational cohort study.SettingThe real-world All Nippon AF In the Elderly (ANAFIE) registry.ParticipantsJapanes...

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Bibliographic Details
Published in:BMJ open 2021-03, Vol.11 (3), p.e044501
Main Authors: Yasaka, Masahiro, Yamashita, Takeshi, Akao, Masaharu, Atarashi, Hirotsugu, Ikeda, Takanori, Koretsune, Yukihiro, Okumura, Ken, Shimizu, Wataru, Tsutsui, Hiroyuki, Toyoda, Kazunori, Hirayama, Atsushi, Yamaguchi, Takenori, Teramukai, Satoshi, Kimura, Tetsuya, Kaburagi, Jumpei, Takita, Atsushi, Inoue, Hiroshi
Format: Article
Language:English
Subjects:
Administration, Oral
Age
Aged
Anticoagulants
Anticoagulants - adverse effects
Atrial Fibrillation - complications
Atrial Fibrillation - drug therapy
Cardiac arrhythmia
Cohort analysis
Cohort Studies
Dementia
Drug dosages
Embolisms
Humans
Japan - epidemiology
Observational studies
Older people
Patients
Pharmacology and Therapeutics
Population
Prospective Studies
Registries
Stroke
Stroke - epidemiology
Stroke - etiology
Stroke - prevention & control
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Summary:ObjectiveTo explore anticoagulant usage patterns stratified by stroke and bleeding risk in elderly patients with non-valvular atrial fibrillation (NVAF).DesignProspective, multicentre, observational cohort study.SettingThe real-world All Nippon AF In the Elderly (ANAFIE) registry.ParticipantsJapanese patients aged ≥75 years with NVAF (n=32 726).Outcome measuresThe distribution of stroke and bleeding risk scores, and the selection of anticoagulant regimen for patients at high stroke and bleeding risk.ResultsOverall, 18 185 (55.6%) patients had a high risk of stroke (CHADS2 score ≥3). Of these, 12 561 (38.4% of the total ANAFIE population) had a low bleeding risk (HAS-BLED ≤2) and 5624 (17.2%) had a high bleeding risk (HAS-BLED ≥3). Significant differences were noted between the high versus low bleeding risk groups in sex, height, weight, systolic blood pressure and rates of abnormality of lipid metabolism, gastrointestinal disease, cerebrovascular disorders, chronic kidney disease, angina pectoris, respiratory disease, primary malignant tumour, dementia and fall history within the past year (all p
ISSN:2044-6055
2044-6055
DOI:10.1136/bmjopen-2020-044501