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Factors associated with hospitalisations and deaths of residential aged care residents with COVID‐19 during the Omicron (BA.1) wave in Queensland

OBJECTIVE: To identify characteristics associated with the hospitalisation and death of people with COVID‐19 living in residential aged care facilities (RACFs). DESIGN: Retrospective cohort study. SETTING, PARTICIPANTS: All confirmed (polymerase chain reaction testing) or probable SARS‐CoV‐2 infecti...

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Autores principales: Ellis, Robert J, Moffatt, Cameron RM, Aaron, Luke T, Beaverson, Greta, Chaw, Khin, Curtis, Corinne, Freeman‐Lamb, Rhett, Judd, Deborah, Khatry, Khadija, Li, Yee Sum, Nash, Terry, Macfarlane, Bonnie, Slater, Karen, Soonarane, Yudish, Stickley, Mark, Anuradha, Satyamurthy
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9877866/
https://www.ncbi.nlm.nih.gov/pubmed/36524321
http://dx.doi.org/10.5694/mja2.51813
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author Ellis, Robert J
Moffatt, Cameron RM
Aaron, Luke T
Beaverson, Greta
Chaw, Khin
Curtis, Corinne
Freeman‐Lamb, Rhett
Judd, Deborah
Khatry, Khadija
Li, Yee Sum
Nash, Terry
Macfarlane, Bonnie
Slater, Karen
Soonarane, Yudish
Stickley, Mark
Anuradha, Satyamurthy
author_facet Ellis, Robert J
Moffatt, Cameron RM
Aaron, Luke T
Beaverson, Greta
Chaw, Khin
Curtis, Corinne
Freeman‐Lamb, Rhett
Judd, Deborah
Khatry, Khadija
Li, Yee Sum
Nash, Terry
Macfarlane, Bonnie
Slater, Karen
Soonarane, Yudish
Stickley, Mark
Anuradha, Satyamurthy
author_sort Ellis, Robert J
collection PubMed
description OBJECTIVE: To identify characteristics associated with the hospitalisation and death of people with COVID‐19 living in residential aged care facilities (RACFs). DESIGN: Retrospective cohort study. SETTING, PARTICIPANTS: All confirmed (polymerase chain reaction testing) or probable SARS‐CoV‐2 infections (rapid antigen tests) in residents of the 86 RACFs in the Metro South Hospital and Health Service area (southeast Queensland), 13 December 2021 – 24 January 2022. MAIN OUTCOME MEASURES: Hospitalisation within 14 days or death within 28 days of COVID‐19 diagnosis. RESULTS: Of 1071 RACF residents with COVID‐19, 151 were hospitalised within 14 days and 126 died within 28 days of diagnosis. Likelihood of death increased with age (per five years: adjusted odds ratio [aOR], 1.38; 95% confidence interval [CI], 1.21–1.57), but not that of hospitalisation. Men were more likely to be hospitalised (aOR, 1.7; 95% CI, 1.2–2.4) or die (aOR, 2.5; 95% CI, 1.7–3.6) than women. The likelihood of hospitalisation was greater for those with dementia (aOR, 1.9; 95% CI, 1.2–3.0), heart failure (aOR, 1.7; 95% CI, 1.1–2.7), chronic kidney disease (aOR, 1.7; 95% CI, 1.1–2.5), or asthma (aOR, 2.2; 95% CI, 1.2–3.8). The likelihood of death was greater for residents with dementia (aOR, 2.2; 95% CI, 1.3–3.7), diabetes mellitus (aOR, 1.9; 95% CI, 1.3–3.0), heart failure (aOR, 2.0; 95% CI, 1.1–3.3), or chronic lung disease (aOR, 1.7; 95% CI, 1.1–2.7). The likelihood of hospitalisation and death were each higher for residents who had received two or fewer vaccine doses than for those who had received three doses. CONCLUSIONS: Most characteristics that influenced the likelihood of hospitalisation or death of RACF residents with COVID‐19 were non‐modifiable factors linked with frailty and general health status. Having received three COVID‐19 vaccine doses was associated with much lower likelihood of hospitalisation or death.
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spelling pubmed-98778662023-01-26 Factors associated with hospitalisations and deaths of residential aged care residents with COVID‐19 during the Omicron (BA.1) wave in Queensland Ellis, Robert J Moffatt, Cameron RM Aaron, Luke T Beaverson, Greta Chaw, Khin Curtis, Corinne Freeman‐Lamb, Rhett Judd, Deborah Khatry, Khadija Li, Yee Sum Nash, Terry Macfarlane, Bonnie Slater, Karen Soonarane, Yudish Stickley, Mark Anuradha, Satyamurthy Med J Aust Research OBJECTIVE: To identify characteristics associated with the hospitalisation and death of people with COVID‐19 living in residential aged care facilities (RACFs). DESIGN: Retrospective cohort study. SETTING, PARTICIPANTS: All confirmed (polymerase chain reaction testing) or probable SARS‐CoV‐2 infections (rapid antigen tests) in residents of the 86 RACFs in the Metro South Hospital and Health Service area (southeast Queensland), 13 December 2021 – 24 January 2022. MAIN OUTCOME MEASURES: Hospitalisation within 14 days or death within 28 days of COVID‐19 diagnosis. RESULTS: Of 1071 RACF residents with COVID‐19, 151 were hospitalised within 14 days and 126 died within 28 days of diagnosis. Likelihood of death increased with age (per five years: adjusted odds ratio [aOR], 1.38; 95% confidence interval [CI], 1.21–1.57), but not that of hospitalisation. Men were more likely to be hospitalised (aOR, 1.7; 95% CI, 1.2–2.4) or die (aOR, 2.5; 95% CI, 1.7–3.6) than women. The likelihood of hospitalisation was greater for those with dementia (aOR, 1.9; 95% CI, 1.2–3.0), heart failure (aOR, 1.7; 95% CI, 1.1–2.7), chronic kidney disease (aOR, 1.7; 95% CI, 1.1–2.5), or asthma (aOR, 2.2; 95% CI, 1.2–3.8). The likelihood of death was greater for residents with dementia (aOR, 2.2; 95% CI, 1.3–3.7), diabetes mellitus (aOR, 1.9; 95% CI, 1.3–3.0), heart failure (aOR, 2.0; 95% CI, 1.1–3.3), or chronic lung disease (aOR, 1.7; 95% CI, 1.1–2.7). The likelihood of hospitalisation and death were each higher for residents who had received two or fewer vaccine doses than for those who had received three doses. CONCLUSIONS: Most characteristics that influenced the likelihood of hospitalisation or death of RACF residents with COVID‐19 were non‐modifiable factors linked with frailty and general health status. Having received three COVID‐19 vaccine doses was associated with much lower likelihood of hospitalisation or death. John Wiley and Sons Inc. 2022-12-15 /pmc/articles/PMC9877866/ /pubmed/36524321 http://dx.doi.org/10.5694/mja2.51813 Text en © 2022 The Authors. Medical Journal of Australia published by John Wiley & Sons Australia, Ltd on behalf of AMPCo Pty Ltd. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ (https://creativecommons.org/licenses/by-nc-nd/4.0/) License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made.
spellingShingle Research
Ellis, Robert J
Moffatt, Cameron RM
Aaron, Luke T
Beaverson, Greta
Chaw, Khin
Curtis, Corinne
Freeman‐Lamb, Rhett
Judd, Deborah
Khatry, Khadija
Li, Yee Sum
Nash, Terry
Macfarlane, Bonnie
Slater, Karen
Soonarane, Yudish
Stickley, Mark
Anuradha, Satyamurthy
Factors associated with hospitalisations and deaths of residential aged care residents with COVID‐19 during the Omicron (BA.1) wave in Queensland
title Factors associated with hospitalisations and deaths of residential aged care residents with COVID‐19 during the Omicron (BA.1) wave in Queensland
title_full Factors associated with hospitalisations and deaths of residential aged care residents with COVID‐19 during the Omicron (BA.1) wave in Queensland
title_fullStr Factors associated with hospitalisations and deaths of residential aged care residents with COVID‐19 during the Omicron (BA.1) wave in Queensland
title_full_unstemmed Factors associated with hospitalisations and deaths of residential aged care residents with COVID‐19 during the Omicron (BA.1) wave in Queensland
title_short Factors associated with hospitalisations and deaths of residential aged care residents with COVID‐19 during the Omicron (BA.1) wave in Queensland
title_sort factors associated with hospitalisations and deaths of residential aged care residents with covid‐19 during the omicron (ba.1) wave in queensland
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9877866/
https://www.ncbi.nlm.nih.gov/pubmed/36524321
http://dx.doi.org/10.5694/mja2.51813
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