Cargando…

Temporal variation of excess deaths from diabetes during the COVID-19 pandemic in the United States

BACKGROUND: Although the COVID-19 pandemic has persisted for more than two years with the evident excess mortality from diabetes, few studies have investigated its temporal patterns. This study aims to estimate the excess deaths from diabetes in the United States (US) during the COVID-19 pandemic an...

Descripción completa

Detalles Bibliográficos
Autores principales: Yao, Xiaoxin I., Han, Lefei, Sun, Yangbo, He, Daihai, Zhao, Shi, Ran, Jinjun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Author(s). Published by Elsevier Ltd on behalf of King Saud Bin Abdulaziz University for Health Sciences. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9873362/
https://www.ncbi.nlm.nih.gov/pubmed/36801628
http://dx.doi.org/10.1016/j.jiph.2023.01.018
_version_ 1784877579320164352
author Yao, Xiaoxin I.
Han, Lefei
Sun, Yangbo
He, Daihai
Zhao, Shi
Ran, Jinjun
author_facet Yao, Xiaoxin I.
Han, Lefei
Sun, Yangbo
He, Daihai
Zhao, Shi
Ran, Jinjun
author_sort Yao, Xiaoxin I.
collection PubMed
description BACKGROUND: Although the COVID-19 pandemic has persisted for more than two years with the evident excess mortality from diabetes, few studies have investigated its temporal patterns. This study aims to estimate the excess deaths from diabetes in the United States (US) during the COVID-19 pandemic and evaluate the excess deaths by spatiotemporal pattern, age groups, sex, and race/ethnicity. METHODS: Diabetes as one of multiple causes of death or an underlying cause of death were both considered into analyses. The Poisson log-linear regression model was used to estimate weekly expected counts of deaths during the pandemic with adjustments for long-term trend and seasonality. Excess deaths were measured by the difference between observed and expected death counts, including weekly average excess deaths, excess death rate, and excess risk. We calculated the excess estimates by pandemic wave, US state, and demographic characteristic. RESULTS: From March 2020 to March 2022, deaths that diabetes as one of multiple causes of death and an underlying cause of death were about 47.6 % and 18.4 % higher than the expected. The excess deaths of diabetes had evident temporal patterns with two large percentage increases observed during March 2020, to June 2020, and June 2021 to November 2021. The regional heterogeneity and underlying age and racial/ethnic disparities of the excess deaths were also clearly observed. CONCLUSIONS: This study highlighted the increased risks of diabetes mortality, heterogeneous spatiotemporal patterns, and associated demographic disparities during the pandemic. Practical actions are warranted to monitor disease progression, and lessen health disparities in patients with diabetes during the COVID-19 pandemic.
format Online
Article
Text
id pubmed-9873362
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher The Author(s). Published by Elsevier Ltd on behalf of King Saud Bin Abdulaziz University for Health Sciences.
record_format MEDLINE/PubMed
spelling pubmed-98733622023-01-25 Temporal variation of excess deaths from diabetes during the COVID-19 pandemic in the United States Yao, Xiaoxin I. Han, Lefei Sun, Yangbo He, Daihai Zhao, Shi Ran, Jinjun J Infect Public Health Article BACKGROUND: Although the COVID-19 pandemic has persisted for more than two years with the evident excess mortality from diabetes, few studies have investigated its temporal patterns. This study aims to estimate the excess deaths from diabetes in the United States (US) during the COVID-19 pandemic and evaluate the excess deaths by spatiotemporal pattern, age groups, sex, and race/ethnicity. METHODS: Diabetes as one of multiple causes of death or an underlying cause of death were both considered into analyses. The Poisson log-linear regression model was used to estimate weekly expected counts of deaths during the pandemic with adjustments for long-term trend and seasonality. Excess deaths were measured by the difference between observed and expected death counts, including weekly average excess deaths, excess death rate, and excess risk. We calculated the excess estimates by pandemic wave, US state, and demographic characteristic. RESULTS: From March 2020 to March 2022, deaths that diabetes as one of multiple causes of death and an underlying cause of death were about 47.6 % and 18.4 % higher than the expected. The excess deaths of diabetes had evident temporal patterns with two large percentage increases observed during March 2020, to June 2020, and June 2021 to November 2021. The regional heterogeneity and underlying age and racial/ethnic disparities of the excess deaths were also clearly observed. CONCLUSIONS: This study highlighted the increased risks of diabetes mortality, heterogeneous spatiotemporal patterns, and associated demographic disparities during the pandemic. Practical actions are warranted to monitor disease progression, and lessen health disparities in patients with diabetes during the COVID-19 pandemic. The Author(s). Published by Elsevier Ltd on behalf of King Saud Bin Abdulaziz University for Health Sciences. 2023-04 2023-01-25 /pmc/articles/PMC9873362/ /pubmed/36801628 http://dx.doi.org/10.1016/j.jiph.2023.01.018 Text en © 2023 The Author(s) Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.
spellingShingle Article
Yao, Xiaoxin I.
Han, Lefei
Sun, Yangbo
He, Daihai
Zhao, Shi
Ran, Jinjun
Temporal variation of excess deaths from diabetes during the COVID-19 pandemic in the United States
title Temporal variation of excess deaths from diabetes during the COVID-19 pandemic in the United States
title_full Temporal variation of excess deaths from diabetes during the COVID-19 pandemic in the United States
title_fullStr Temporal variation of excess deaths from diabetes during the COVID-19 pandemic in the United States
title_full_unstemmed Temporal variation of excess deaths from diabetes during the COVID-19 pandemic in the United States
title_short Temporal variation of excess deaths from diabetes during the COVID-19 pandemic in the United States
title_sort temporal variation of excess deaths from diabetes during the covid-19 pandemic in the united states
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9873362/
https://www.ncbi.nlm.nih.gov/pubmed/36801628
http://dx.doi.org/10.1016/j.jiph.2023.01.018
work_keys_str_mv AT yaoxiaoxini temporalvariationofexcessdeathsfromdiabetesduringthecovid19pandemicintheunitedstates
AT hanlefei temporalvariationofexcessdeathsfromdiabetesduringthecovid19pandemicintheunitedstates
AT sunyangbo temporalvariationofexcessdeathsfromdiabetesduringthecovid19pandemicintheunitedstates
AT hedaihai temporalvariationofexcessdeathsfromdiabetesduringthecovid19pandemicintheunitedstates
AT zhaoshi temporalvariationofexcessdeathsfromdiabetesduringthecovid19pandemicintheunitedstates
AT ranjinjun temporalvariationofexcessdeathsfromdiabetesduringthecovid19pandemicintheunitedstates