
| ID | 70442 |
| フルテキストURL | |
| 著者 |
Belangoy, Keith Pardillada
Department of Health Data Science, Graduate School of Medicine, Dentistry, and Pharmaceutical Sciences, Okayama University
Nishimura, Yoshito
Division of Haematology and Oncology, Mayo Clinic, Rochester
Harada, Ko
Brookdale Department of Geriatrics and Palliative Medicine, Icahn School of Medicine at Mount Sinai
Hagiya, Hideharu
Department of Infectious Diseases, Okayama University Hospital
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Kaken ID
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Vu, Quynh Thi
Department of Health Data Science, Graduate School of Medicine, Dentistry, and Pharmaceutical Sciences, Okayama University
Ouddoud, Hanane
Department of Health Data Science, Graduate School of Medicine, Dentistry, and Pharmaceutical Sciences, Okayama University
Lescano, Judah Israel Ong
Department of Health Data Science, Graduate School of Medicine, Dentistry, and Pharmaceutical Sciences, Okayama University
Yamamoto, Michio
Graduate School of Human Sciences, The University of Osaka
Takeda, Tatsuaki
Department of Education and Research Center for Clinical Pharmacy, Faculty of Pharmaceutical Sciences, Okayama University
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Hamano, Hirofumi
Department of Pharmacy, Okayama University Hospital
Koyama, Toshihiro
Department of Health Data Science, Graduate School of Medicine, Dentistry, and Pharmaceutical Sciences, Okayama University
ORCID
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publons
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Zamami, Yoshito
Department of Pharmacy, Okayama University Hospital
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| 抄録 | Objectives This study aimed to evaluate the global trends in systemic sclerosis (SSc)-related mortality by age, sex, and geographic region. SSc is a multisystem autoimmune disease characterized by tissue fibrosis, vascular dysfunction, and multi-organ involvement, which is associated with a high mortality risk.
Methods Using the World Health Organization Mortality Database, we examined trends in SSc-related crude mortality rates (SSc-CRs) and age-standardized mortality rates (SSc-ASMR) per 1,000,000 population from 2001 to 2023. Locally weighted regression was applied to visualize long-term patterns, and Joinpoint regression was used to assess the national trends from 2010 to 2023. Results Across 74 countries, 85,291 SSc-related deaths were reported, with 79.41% occurring in females. The SSc-CR steadily increased from 1.97 (95% confidence interval [CI]: 1.71–2.23) in 2001 to 2.34 (95% CI: 2.01–2.68) in 2023, while the SSc-ASMR decreased from 1.58 (95% CI: 1.42–1.74) to 1.29 (95% CI: 1.08–1.50), respectively. Regionally, mortality was the highest in the Western Pacific region and declined in the Americas and Europe, with temporal fluctuations. The SSc-ASMR was highest in countries with a middle sociodemographic index (SDI). Conclusions While overall age-standardized mortality from SSc has declined in many regions, disparities persist. These results underscore the importance of sustaining research and enhancing disease awareness, as well as developing strategies to reduce mortality in high-risk populations and regions. |
| キーワード | Age-standardized mortality rate
Global health
Mortality trends
Sociodemographic index
Systemic sclerosis
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| 発行日 | 2026-03-06
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| 出版物タイトル |
Clinical Rheumatology
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| 巻 | 45巻
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| 号 | 5号
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| 出版者 | Springer Science and Business Media LLC
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| 開始ページ | 2741
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| 終了ページ | 2748
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| ISSN | 0770-3198
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| NCID | AA10623843
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| 資料タイプ |
学術雑誌論文
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| 言語 |
英語
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| OAI-PMH Set |
岡山大学
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| 著作権者 | © The Author(s) 2026
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| 論文のバージョン | publisher
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| PubMed ID | |
| DOI | |
| Web of Science KeyUT | |
| 関連URL | isVersionOf https://doi.org/10.1007/s10067-026-07995-2
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| ライセンス | http://creativecommons.org/licenses/by/4.0/
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| Citation | Belangoy, K.P., Nishimura, Y., Harada, K. et al. Global trends in systemic sclerosis-related mortality, 2001–2023: an epidemiological analysis using World Health Organization mortality data. Clin Rheumatol 45, 2741–2748 (2026). https://doi.org/10.1007/s10067-026-07995-2
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| 助成情報 |
( 国立大学法人岡山大学 / Okayama University )
25K22708:
革新的多層データ駆動型創薬の導入によるデュアル作用薬の臨床応用
( 独立行政法人日本学術振興会 / Japan Society for the Promotion of Science )
24KK0173:
リアルワールドデータとゲノミクスの統合解析を通じた免疫療法誘発心筋炎の発症予測
( 独立行政法人日本学術振興会 / Japan Society for the Promotion of Science )
|