Cargando…
EVOLVING CHARACTERISTICS OF COVID-19 INPATIENTS AT AN AUSTRALIAN CENTRE
INTRO: Since the declaration of the global pandemic in March 2020, the novel coronavirus disease (COVID-19) has caused dynamic pressures on healthcare systems worldwide. This study aims to compare the demographic and clinical characteristics, management, and outcomes of patients with COVID-19 at a s...
Autores principales: | , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Published by Elsevier Ltd.
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10186944/ http://dx.doi.org/10.1016/j.ijid.2023.04.228 |
_version_ | 1785042656328417280 |
---|---|
author | Ko, M.S. Griffiths, P. Baxter, H. Konecny, P. Sullivan, R. |
author_facet | Ko, M.S. Griffiths, P. Baxter, H. Konecny, P. Sullivan, R. |
author_sort | Ko, M.S. |
collection | PubMed |
description | INTRO: Since the declaration of the global pandemic in March 2020, the novel coronavirus disease (COVID-19) has caused dynamic pressures on healthcare systems worldwide. This study aims to compare the demographic and clinical characteristics, management, and outcomes of patients with COVID-19 at a single centre in Sydney, Australia. METHODS: Using the clinical coding data, we identified all patients aged > 16 years admitted to our centre between February 1st, 2020, and March 31st, 2022. We categorised the time periods ‘pre-delta’ (February 1st, 2020 – June 15th, 2021), ‘delta’ (June 16th, 2021 – November 25th, 2021), and ‘omicron’ (November 26th, 2021 – March 31st, 2022). We retrospectively extracted the demographic, administrative, and clinical data from the electronic medical records and performed a descriptive analysis of the data. FINDINGS: A total of 1842 patients were identified (pre-delta N=18; delta N=788; omicron N=1036). The percentage of male patients was 83%, 54%, and 56% and the median ages at admission were 55, 49, and 70 years during the pre-delta, delta, and omicron periods, respectively. The median length of hospital stay was the longest during the pre-delta period (8.5 days vs. 7 vs. 6). ICU admission rate was 39%, 21%, and 10% for each period and of the ICU-admitted patients 43%, 40%, and 36% respectively required mechanical ventilation. Inhospital mortality was the highest during the omicron period (pre-delta inhospital mortality 5.6%; delta 4.1%; omicron 7.3%). A total of 219 (28%) patients of delta and 185 (18%) of omicron periods received at least one dose of dexamethasone and 175 (22%) and 44 (4.2%) respectively received at least one dose of remdesivir. CONCLUSION: The demographic and clinical characteristics of admitted COVID-19 patients varied across the ‘pre-delta’, ‘delta’, and ‘omicron’ time periods. The median age at admission and in-hospital mortality was the highest during the omicron period. |
format | Online Article Text |
id | pubmed-10186944 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Published by Elsevier Ltd. |
record_format | MEDLINE/PubMed |
spelling | pubmed-101869442023-05-16 EVOLVING CHARACTERISTICS OF COVID-19 INPATIENTS AT AN AUSTRALIAN CENTRE Ko, M.S. Griffiths, P. Baxter, H. Konecny, P. Sullivan, R. Int J Infect Dis Article INTRO: Since the declaration of the global pandemic in March 2020, the novel coronavirus disease (COVID-19) has caused dynamic pressures on healthcare systems worldwide. This study aims to compare the demographic and clinical characteristics, management, and outcomes of patients with COVID-19 at a single centre in Sydney, Australia. METHODS: Using the clinical coding data, we identified all patients aged > 16 years admitted to our centre between February 1st, 2020, and March 31st, 2022. We categorised the time periods ‘pre-delta’ (February 1st, 2020 – June 15th, 2021), ‘delta’ (June 16th, 2021 – November 25th, 2021), and ‘omicron’ (November 26th, 2021 – March 31st, 2022). We retrospectively extracted the demographic, administrative, and clinical data from the electronic medical records and performed a descriptive analysis of the data. FINDINGS: A total of 1842 patients were identified (pre-delta N=18; delta N=788; omicron N=1036). The percentage of male patients was 83%, 54%, and 56% and the median ages at admission were 55, 49, and 70 years during the pre-delta, delta, and omicron periods, respectively. The median length of hospital stay was the longest during the pre-delta period (8.5 days vs. 7 vs. 6). ICU admission rate was 39%, 21%, and 10% for each period and of the ICU-admitted patients 43%, 40%, and 36% respectively required mechanical ventilation. Inhospital mortality was the highest during the omicron period (pre-delta inhospital mortality 5.6%; delta 4.1%; omicron 7.3%). A total of 219 (28%) patients of delta and 185 (18%) of omicron periods received at least one dose of dexamethasone and 175 (22%) and 44 (4.2%) respectively received at least one dose of remdesivir. CONCLUSION: The demographic and clinical characteristics of admitted COVID-19 patients varied across the ‘pre-delta’, ‘delta’, and ‘omicron’ time periods. The median age at admission and in-hospital mortality was the highest during the omicron period. Published by Elsevier Ltd. 2023-05 2023-05-16 /pmc/articles/PMC10186944/ http://dx.doi.org/10.1016/j.ijid.2023.04.228 Text en Copyright © 2023 Published by Elsevier Ltd. 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 Ko, M.S. Griffiths, P. Baxter, H. Konecny, P. Sullivan, R. EVOLVING CHARACTERISTICS OF COVID-19 INPATIENTS AT AN AUSTRALIAN CENTRE |
title | EVOLVING CHARACTERISTICS OF COVID-19 INPATIENTS AT AN AUSTRALIAN CENTRE |
title_full | EVOLVING CHARACTERISTICS OF COVID-19 INPATIENTS AT AN AUSTRALIAN CENTRE |
title_fullStr | EVOLVING CHARACTERISTICS OF COVID-19 INPATIENTS AT AN AUSTRALIAN CENTRE |
title_full_unstemmed | EVOLVING CHARACTERISTICS OF COVID-19 INPATIENTS AT AN AUSTRALIAN CENTRE |
title_short | EVOLVING CHARACTERISTICS OF COVID-19 INPATIENTS AT AN AUSTRALIAN CENTRE |
title_sort | evolving characteristics of covid-19 inpatients at an australian centre |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10186944/ http://dx.doi.org/10.1016/j.ijid.2023.04.228 |
work_keys_str_mv | AT koms evolvingcharacteristicsofcovid19inpatientsatanaustraliancentre AT griffithsp evolvingcharacteristicsofcovid19inpatientsatanaustraliancentre AT baxterh evolvingcharacteristicsofcovid19inpatientsatanaustraliancentre AT konecnyp evolvingcharacteristicsofcovid19inpatientsatanaustraliancentre AT sullivanr evolvingcharacteristicsofcovid19inpatientsatanaustraliancentre |