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Characteristics and Risk Factors for Mortality by Coronavirus Disease 2019 Pandemic Waves in Fulton County, Georgia: A Cohort Study March 2020–February 2021
BACKGROUND: We examined differences in mortality among coronavirus disease 2019 (COVID-19) cases in the first, second, and third waves of the COVID-19 pandemic. METHODS: A retrospective cohort study of COVID-19 cases in Fulton County, Georgia, USA, reported to a public health surveillance from March...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8903476/ https://www.ncbi.nlm.nih.gov/pubmed/35360195 http://dx.doi.org/10.1093/ofid/ofac101 |
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author | Chishinga, Nathaniel Smith, Sasha Gandhi, Neel R Onwubiko, Udodirim N Telford, Carson Prieto, Juliana Chamberlain, Allison T Khan, Shamimul Williams, Steve Khan, Fazle Sarita Shah, N |
author_facet | Chishinga, Nathaniel Smith, Sasha Gandhi, Neel R Onwubiko, Udodirim N Telford, Carson Prieto, Juliana Chamberlain, Allison T Khan, Shamimul Williams, Steve Khan, Fazle Sarita Shah, N |
author_sort | Chishinga, Nathaniel |
collection | PubMed |
description | BACKGROUND: We examined differences in mortality among coronavirus disease 2019 (COVID-19) cases in the first, second, and third waves of the COVID-19 pandemic. METHODS: A retrospective cohort study of COVID-19 cases in Fulton County, Georgia, USA, reported to a public health surveillance from March 2020 through February 2021. We estimated case-fatality rates (CFR) by wave and used Cox proportional hazards random-effects models in each wave, with random effects at individual and long-term-care-facility level, to determine risk factors associated with rates of mortality. RESULTS: Of 75 289 confirmed cases, 4490 (6%) were diagnosed in wave 1 (CFR 31 deaths/100 000 person days [pd]), 24 293 (32%) in wave 2 (CFR 7 deaths/100 000 pd), and 46 506 (62%) in wave 3 (CFR 9 deaths/100 000 pd). Compared with females, males were more likely to die in each wave: wave 1 (adjusted hazard ratio [aHR], 1.5; 95% confidence interval [CI], 1.2–1.8), wave 2 (aHR 1.5, 95% CI, 1.2–1.8), and wave 3 (aHR 1.7, 95% CI, 1.5–2.0). Compared with non-Hispanic whites, non-Hispanic blacks were more likely to die in each wave: wave 1 (aHR, 1.4; 95% CI, 1.1–1.8), wave 2 (aHR, 1.5; 95% CI, 1.2–1.9), and wave 3 (aHR, 1.7; 95% CI, 1.4–2.0). Cases with any disability, chronic renal disease, and cardiovascular disease were more likely to die in each wave compared with those without these comorbidities. CONCLUSIONS: Our study found gender and racial/ethnic disparities in COVID-19 mortality and certain comorbidities associated with COVID-19 mortality. These factors have persisted throughout the COVID-19 pandemic waves, despite improvements in diagnosis and treatment. |
format | Online Article Text |
id | pubmed-8903476 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-89034762022-03-09 Characteristics and Risk Factors for Mortality by Coronavirus Disease 2019 Pandemic Waves in Fulton County, Georgia: A Cohort Study March 2020–February 2021 Chishinga, Nathaniel Smith, Sasha Gandhi, Neel R Onwubiko, Udodirim N Telford, Carson Prieto, Juliana Chamberlain, Allison T Khan, Shamimul Williams, Steve Khan, Fazle Sarita Shah, N Open Forum Infect Dis Major Article BACKGROUND: We examined differences in mortality among coronavirus disease 2019 (COVID-19) cases in the first, second, and third waves of the COVID-19 pandemic. METHODS: A retrospective cohort study of COVID-19 cases in Fulton County, Georgia, USA, reported to a public health surveillance from March 2020 through February 2021. We estimated case-fatality rates (CFR) by wave and used Cox proportional hazards random-effects models in each wave, with random effects at individual and long-term-care-facility level, to determine risk factors associated with rates of mortality. RESULTS: Of 75 289 confirmed cases, 4490 (6%) were diagnosed in wave 1 (CFR 31 deaths/100 000 person days [pd]), 24 293 (32%) in wave 2 (CFR 7 deaths/100 000 pd), and 46 506 (62%) in wave 3 (CFR 9 deaths/100 000 pd). Compared with females, males were more likely to die in each wave: wave 1 (adjusted hazard ratio [aHR], 1.5; 95% confidence interval [CI], 1.2–1.8), wave 2 (aHR 1.5, 95% CI, 1.2–1.8), and wave 3 (aHR 1.7, 95% CI, 1.5–2.0). Compared with non-Hispanic whites, non-Hispanic blacks were more likely to die in each wave: wave 1 (aHR, 1.4; 95% CI, 1.1–1.8), wave 2 (aHR, 1.5; 95% CI, 1.2–1.9), and wave 3 (aHR, 1.7; 95% CI, 1.4–2.0). Cases with any disability, chronic renal disease, and cardiovascular disease were more likely to die in each wave compared with those without these comorbidities. CONCLUSIONS: Our study found gender and racial/ethnic disparities in COVID-19 mortality and certain comorbidities associated with COVID-19 mortality. These factors have persisted throughout the COVID-19 pandemic waves, despite improvements in diagnosis and treatment. Oxford University Press 2022-03-03 /pmc/articles/PMC8903476/ /pubmed/35360195 http://dx.doi.org/10.1093/ofid/ofac101 Text en © The Author(s) 2022. Published by Oxford University Press on behalf of Infectious Diseases Society of America. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs licence (https://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial reproduction and distribution of the work, in any medium, provided the original work is not altered or transformed in any way, and that the work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | Major Article Chishinga, Nathaniel Smith, Sasha Gandhi, Neel R Onwubiko, Udodirim N Telford, Carson Prieto, Juliana Chamberlain, Allison T Khan, Shamimul Williams, Steve Khan, Fazle Sarita Shah, N Characteristics and Risk Factors for Mortality by Coronavirus Disease 2019 Pandemic Waves in Fulton County, Georgia: A Cohort Study March 2020–February 2021 |
title | Characteristics and Risk Factors for Mortality by Coronavirus Disease 2019 Pandemic Waves in Fulton County, Georgia: A Cohort Study March 2020–February 2021 |
title_full | Characteristics and Risk Factors for Mortality by Coronavirus Disease 2019 Pandemic Waves in Fulton County, Georgia: A Cohort Study March 2020–February 2021 |
title_fullStr | Characteristics and Risk Factors for Mortality by Coronavirus Disease 2019 Pandemic Waves in Fulton County, Georgia: A Cohort Study March 2020–February 2021 |
title_full_unstemmed | Characteristics and Risk Factors for Mortality by Coronavirus Disease 2019 Pandemic Waves in Fulton County, Georgia: A Cohort Study March 2020–February 2021 |
title_short | Characteristics and Risk Factors for Mortality by Coronavirus Disease 2019 Pandemic Waves in Fulton County, Georgia: A Cohort Study March 2020–February 2021 |
title_sort | characteristics and risk factors for mortality by coronavirus disease 2019 pandemic waves in fulton county, georgia: a cohort study march 2020–february 2021 |
topic | Major Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8903476/ https://www.ncbi.nlm.nih.gov/pubmed/35360195 http://dx.doi.org/10.1093/ofid/ofac101 |
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