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Changes in cerebrovascular disease-related deaths and their location during the COVID-19 pandemic in Japan.
Nomura, S; Eguchi, A; Ghaznavi, C; Yamasaki, L; Rauniyar, S K; Tanoue, Y; Kawashima, T; Yoneoka, D; Kohsaka, S; Suzuki, M; Hashizume, M.
  • Nomura S; Department of Health Policy and Management, School of Medicine, Keio University, Tokyo, Japan; Department of Global Health Policy, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan; Tokyo Foundation for Policy Research, Tokyo, Japan. Electronic address: s-nomura@keio.jp.
  • Eguchi A; Department of Sustainable Health Science, Center for Preventive Medical Sciences, Chiba University, Chiba, Japan.
  • Ghaznavi C; Department of Health Policy and Management, School of Medicine, Keio University, Tokyo, Japan; Medical Education Program, Washington University School of Medicine in St Louis, Saint Louis, United States.
  • Yamasaki L; Department of Global Health Policy, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan; School of Medicine, Nagasaki University, Nagasaki, Japan.
  • Rauniyar SK; Department of Global Health Policy, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan; Ocean Policy Research Institute, Sasakawa Peace Foundation, Tokyo, Japan.
  • Tanoue Y; Institute for Business and Finance, Waseda University, Tokyo, Japan.
  • Kawashima T; Department of Mathematical and Computing Science, Tokyo Institute of Technology, Tokyo, Japan.
  • Yoneoka D; Infectious Disease Surveillance Center at the National Institute of Infectious Diseases, Tokyo, Japan; Tokyo Foundation for Policy Research, Tokyo, Japan.
  • Kohsaka S; Department of Cardiology, Keio University School of Medicine, Tokyo, Japan.
  • Suzuki M; Infectious Disease Surveillance Center at the National Institute of Infectious Diseases, Tokyo, Japan.
  • Hashizume M; Department of Global Health Policy, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Public Health ; 218: 176-179, 2023 May.
Article in English | MEDLINE | ID: covidwho-2300998
ABSTRACT

OBJECTIVE:

The COVID-19 pandemic placed an enormous strain on healthcare systems and raised concerns for delays in the management of patients with acute cerebrovascular events. In this study, we investigated cerebrovascular excess deaths in Japan. STUDY

DESIGN:

Vital mortality statistics from January 2012 to May 2022 were obtained from the Japanese Ministry of Health, Labour and Welfare.

METHODS:

Using quasi-Poisson regression models, we estimated the expected weekly number of cerebrovascular deaths in Japan from January 2020 through May 2022 by place of death. Estimates were calculated for deaths in all locations, as well as for deaths in hospitals, in geriatric health service facilities, and at home. The age subgroups of ≥75 and <75 years were also considered. Weeks with a statistically significant excess of cerebrovascular deaths were determined when the weekly number of observed deaths exceeded the upper bound of 97.5% prediction interval.

RESULTS:

Excess deaths were noted in June 2021 and became more pronounced from February 2022 onward. The trend was notable among those aged ≥75 years and for those who died in hospitals. With respect to the location of deaths, the excess was significant in geriatric health services facilities from April 2020 to June 2021, whereas no evidence of excess hospital deaths was observed during the same period.

CONCLUSIONS:

Beginning in the late 2021, excess cerebrovascular deaths coincided with the spread of the Omicron variant and may be associated with increased healthcare burden. In 2020, COVID-19 altered the geography of cerebrovascular deaths, with fewer people dying in hospitals and more dying in geriatric health service facilities and at home.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Type of study: Observational study / Prognostic study Topics: Variants Limits: Aged / Humans Country/Region as subject: Asia Language: English Journal: Public Health Year: 2023 Document Type: Article

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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Type of study: Observational study / Prognostic study Topics: Variants Limits: Aged / Humans Country/Region as subject: Asia Language: English Journal: Public Health Year: 2023 Document Type: Article