Tracing all patients who received insured dialysis treatment in Japan and the present situation of their number of deaths

Author:

Kubo Shinichiro,Noda TatsuyaORCID,Myojin Tomoya,Nishioka Yuichi,Kanno Saho,Higashino Tsuneyuki,Nishimoto Masatoshi,Eriguchi Masahiro,Samejima Kenichi,Tsuruya Kazuhiko,Imamura Tomoaki

Abstract

Abstract Background The survival rate of chronic dialysis patients in Japan remains the highest worldwide, so there is value in presenting Japan’s situation internationally. We examined whether aggregate figures on dialysis patients in the National Database of Health Insurance Claims and Special Health Checkups of Japan (NDB), which contains data on insured procedures of approximately 100 million Japanese residents, complement corresponding figures in the Japanese Society for Dialysis Therapy Renal Data Registry (JRDR). Methods Subjects were patients with medical fee points for dialysis recorded in the NDB during 2014–2018. We analyzed annual numbers of dialysis cases, newly initiated dialysis cases– and deaths. Results Compared with the JRDR, the NDB had about 6–7% fewer dialysis cases but a similar number of newly initiated dialysis cases. In the NDB, the number of deaths was about 6–10% lower, and the number of hemodialysis cases was lower, while that of peritoneal dialysis cases was higher. The cumulative survival rate at dialysis initiation was approximately 6 percentage points lower in the NDB than in the JRDR, indicating that some patients die at dialysis initiation. Cumulative survival rate by age group was roughly the same between the NDB and JRDR in both sexes. Conclusion The use of the NDB enabled us to aggregate data of dialysis patients. With the definition of dialysis patients used in this study, analyses of concomitant medications, comorbidities, surgeries, and therapies will become possible, which will be useful in many future studies.

Funder

Japan Society for the Promotion of Science

Ministry of Health, Labour and Welfare

Publisher

Springer Science and Business Media LLC

Subject

Physiology (medical),Nephrology,Physiology

Reference25 articles.

1. The Japanese Society for Dialysis Therapy. “2019 Japanese Society for Dialysis Therapy Renal Data Registry” implementation plan. 2019. https://www.jsdt.or.jp/info/2644.html. Accessed: 31 Mar 2021. (Report in Japanese).

2. United States Renal Data System. 2019 USRDS Annual Data Report: Epidemiology of kidney disease in the United States. 2019. https://www.usrds.org/annual-data-report/. Accessed: 5 Sep 2021.

3. Kramer A, Boenink R, Stel VS, et al. The ERA-EDTA registry annual report 2018: a summary. Clin Kidney J. 2021;14(1):107–23.

4. The Japanese Society for Dialysis Therapy. The current situation of dialysis therapy for chronic patients in Japan. J Jpn Soc Dial Ther. 2020;53:579–632.

5. Nitta K, Goto S, Masakane I, et al. Annual dialysis data report for 2018, JSDT Renal Data Registry: survey methods, facility data, incidence, prevalence, and mortality. Ren Replace Ther. 2020;6:41.

Cited by 6 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3