Literature DB >> 31629532

The Prevalence, Characteristics, and Patient Burden of Severe Asthma Determined by Using a Japan Health Care Claims Database.

Keiko Sato1, Tomoya Ohno2, Takeo Ishii2, Chie Ito3, Toshihiko Kaise2.   

Abstract

BACKGROUND: Recently, several new biological drugs targeting severe asthma are on the market, and various studies on severe asthma have been reported worldwide. However, in Japan, the data are still limited regarding epidemiology and burden of disease on severe asthma. This study determined the prevalence, characteristics, and burden of disease of patients with severe asthma.
METHODS: This retrospective study (HO-16-16484) used a nationwide health care claims database. Severity of asthma was defined according to the treatment during the baseline period (April 1, 2014-March 31, 2015). Eligible patients were >15-65 years of age with asthma during the 12-month baseline period and were followed up for 12 months. End points included the prevalence, characteristics, exacerbation frequency, and patient behavior in patients with severe, moderate, or mild asthma. Risk factors for exacerbations were explored in patients with all levels of asthma severity and in those with severe asthma.
FINDINGS: Among the 16,107 patients with asthma, 2.4 (95% CI, 2.1-2.6) per 100 patients had severe asthma. During the baseline period, 130 (34.0%) of 382 patients with severe asthma had ≥1 asthma exacerbation. The exacerbation frequency was highest in patients with severe asthma, and most of the comorbidities increased in proportion to the asthma severity. During the follow-up period, exacerbation frequency increased with asthma severity. Approximately 70% of patients with severe asthma were treated at clinics, requiring outpatient visits ~10 times per year. Different exacerbation risk factors were identified between patients with all severity levels of asthma and those with severe asthma. With the severe asthma patients, experiencing exacerbations during the previous year was a risk factor for further exacerbations during the follow-up period. IMPLICATIONS: In Japan, 2.4% of patients with asthma have severe asthma, and there is a significant burden of disease in patients with severe asthma undergoing high-intensity treatment.
Copyright © 2019 The Authors. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  burden of disease; claims database; prevalence; severe asthma

Mesh:

Year:  2019        PMID: 31629532     DOI: 10.1016/j.clinthera.2019.08.015

Source DB:  PubMed          Journal:  Clin Ther        ISSN: 0149-2918            Impact factor:   3.393


  5 in total

1.  Performance evaluation of case definitions of type 1 diabetes for health insurance claims data in Japan.

Authors:  Tasuku Okui; Chinatsu Nojiri; Shinichiro Kimura; Kentaro Abe; Sayaka Maeno; Masae Minami; Yasutaka Maeda; Naoko Tajima; Tomoyuki Kawamura; Naoki Nakashima
Journal:  BMC Med Inform Decis Mak       Date:  2021-02-11       Impact factor: 2.796

2.  Newly diagnosed asthma in China: initial severity and changes over a 1-year management period.

Authors:  Zhizhen Hu; Jianwei Xuan; Haijin Zhao; Hangming Dong; Changhui Yu; Shaoxi Cai; Yue Gao; Liran Li; Xiaohan Hu
Journal:  Ann Transl Med       Date:  2022-01

3.  Optimal follow-up period after switching to another inhaled corticosteroid/long-acting β2 agonist in patients with asthma: A retrospective study using Japanese administrative claims data.

Authors:  Rieko Kondo; Shotaro Maeda; Akira Kikuchi; Hiromichi Kiyono; Tohru Sato
Journal:  PLoS One       Date:  2022-10-13       Impact factor: 3.752

4.  Association between topical β-blocker use and asthma attacks in glaucoma patients with asthma: a cohort study using a claims database.

Authors:  Ai Kido; Masahiro Miyake; Tadamichi Akagi; Hanako Ohashi Ikeda; Takanori Kameda; Kenji Suda; Tomoko Hasegawa; Shusuke Hiragi; Satomi Yoshida; Akitaka Tsujikawa; Hiroshi Tamura; Koji Kawakami
Journal:  Graefes Arch Clin Exp Ophthalmol       Date:  2021-08-09       Impact factor: 3.117

5.  Epidemiology of respiratory syncytial virus in Japan: A nationwide claims database analysis.

Authors:  Yasuhiro Kobayashi; Kanae Togo; Yasmeen Agosti; John M McLaughlin
Journal:  Pediatr Int       Date:  2021-12-17       Impact factor: 1.617

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.