Literature DB >> 21820280

Recent mortality of Japanese patients with atrial fibrillation in an urban city of Tokyo.

Shinya Suzuki1, Takeshi Yamashita, Takayuki Otsuka, Koichi Sagara, Tokuhisa Uejima, Yuji Oikawa, Junji Yajima, Akira Koike, Kazuyuki Nagashima, Hajime Kirigaya, Ken Ogasawara, Hitoshi Sawada, Tadanori Aizawa.   

Abstract

BACKGROUND: In Japan, the recent status of the mortality of atrial fibrillation (AF) patients is still unclear. METHODS AND
RESULTS: We used a single-hospital based cohort database in an urban city (Tokyo) in Japan, including all the new visitors from 2004 to 2009 (n=13,228). The non-adjusted death rates of AF patients for all-cause, stroke, and cardiovascular death were 1091, 97, and 727 per 100,000 patient-years, and the age-adjusted ones were 317 (95% CI, 316-318), 16 (95% CI, 16-16), and 238 (95% CI, 237-239), respectively. The age-adjusted relative risk of AF on all-cause mortality was 1.7 in the particular population.
CONCLUSIONS: The present study provides the most recent data about the characteristics and the mortality of AF patients in Tokyo, thus serving as the basic information for finding problems to solve regarding Japanese AF patients.
Copyright © 2011 Japanese College of Cardiology. Published by Elsevier Ltd. All rights reserved.

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Year:  2011        PMID: 21820280     DOI: 10.1016/j.jjcc.2011.06.006

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


  12 in total

1.  Screening for untreated atrial fibrillation in the elderly population: A community-based study.

Authors:  Keitaro Senoo; Arito Yukawa; Takashi Ohkura; Keisuke Shoji; Masao Takigami; Hibiki Iwakoshi; Tetsuro Nishimura; Mitsuko Nakata; Satoshi Teramukai; Satoaki Matoba
Journal:  PLoS One       Date:  2022-06-06       Impact factor: 3.752

2.  Eleven-year temporal trends of clinical characteristics and long-term outcomes in patients undergoing percutaneous coronary intervention for acute coronary syndrome in the Shinken database.

Authors:  Yoshimi Numao; Shinya Suzuki; Hiroto Kano; Junji Yajima; Yuji Oikawa; Shunsuke Matsuno; Takuto Arita; Naoharu Yagi; Hiroaki Semba; Yuko Kato; Takayuki Otsuka; Tokuhisa Uejima; Takeshi Yamashita
Journal:  Heart Vessels       Date:  2018-07-24       Impact factor: 2.037

3.  Diagnostic accuracy of an algorithm for detecting atrial fibrillation in a wrist-type pulse wave monitor.

Authors:  Tomoyuki Kabutoya; Shinichi Takahashi; Tomonori Watanabe; Yasushi Imai; Kazuhiro Uemoto; Nobuhiko Yasui; Kazuomi Kario
Journal:  J Clin Hypertens (Greenwich)       Date:  2019-08-17       Impact factor: 3.738

4.  Prevalence and predictors of atrial fibrillation in Japanese patients with type 2 diabetes.

Authors:  Sachiko Otake; Asako Sato; Tetsuya Babazono
Journal:  Diabetol Int       Date:  2021-05-16

5.  A multicenter prospective cohort study to investigate the effectiveness and safety of apixaban in Japanese elderly atrial fibrillation patients (J-ELD AF Registry).

Authors:  Ken Okumura; Takeshi Yamashita; Shinya Suzuki; Masaharu Akao
Journal:  Clin Cardiol       Date:  2019-11-18       Impact factor: 2.882

6.  Non-Alcoholic Fatty Liver Disease as a Predictor of Atrial Fibrillation in Middle-Aged Population (OPERA Study).

Authors:  Aki J Käräjämäki; Olli-Pekka Pätsi; Markku Savolainen; Y Antero Kesäniemi; Heikki Huikuri; Olavi Ukkola
Journal:  PLoS One       Date:  2015-11-16       Impact factor: 3.240

7.  CHADS2 and modified CHA2DS2-VASc scores for the prediction of congestive heart failure in patients with nonvalvular atrial fibrillation.

Authors:  Yorihiko Koeda; Takashi Komatsu; Yuki Matsuura; Hidemi Morioka; Yohei Uchimura; Yuya Taguchi; Kentaro Tanaka; Jun Kawakami; Marie Nakamura; Shuko Takahashi; Yuji Takahashi; Yujiro Naganuma; Hiroshi Endo; Tatsuro Ito; Yoshihiro Morino; Motoyuki Nakamura
Journal:  J Arrhythm       Date:  2017-07-31

8.  Incremental yield of ECG screening repeated annually over 4 years in an adult Japanese population without prior atrial fibrillation: a retrospective cohort study.

Authors:  Yoshiki Nagata; Takashi Yamagami; Don Nutbeam; Ben Freedman; Nicole Lowres
Journal:  BMJ Open       Date:  2020-07-19       Impact factor: 2.692

9.  Comparison of risk models for mortality and cardiovascular events between machine learning and conventional logistic regression analysis.

Authors:  Shinya Suzuki; Takeshi Yamashita; Tsuyoshi Sakama; Takuto Arita; Naoharu Yagi; Takayuki Otsuka; Hiroaki Semba; Hiroto Kano; Shunsuke Matsuno; Yuko Kato; Tokuhisa Uejima; Yuji Oikawa; Minoru Matsuhama; Junji Yajima
Journal:  PLoS One       Date:  2019-09-09       Impact factor: 3.240

10.  Association of atrial fibrillation and clinical outcomes in adults with chronic kidney disease: A propensity score-matched analysis.

Authors:  Chunxia Zhang; Jingli Gao; Yidan Guo; Aijun Xing; Pengpeng Ye; Yuntao Wu; Shouling Wu; Yang Luo
Journal:  PLoS One       Date:  2020-03-18       Impact factor: 3.240

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