Cargando…

The impact of key secular trends during the first three waves the COVID-19 pandemic

IMPORTANCE: Patient age, comorbidity burden, and disease severity at presentation are the major factors associated with surviving COVID-19. Hospital-level factors including ICU occupancy may confer additional risk to individual patients, particularly at times of maximal stress on healthcare systems....

Descripción completa

Detalles Bibliográficos
Autores principales: Lichtenstein, Brian J., Smith, Tyler, Smith, Besa, Sitzer, Matthew, Mahida, Daksha, Exley, Dan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Inc. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9239923/
https://www.ncbi.nlm.nih.gov/pubmed/35779708
http://dx.doi.org/10.1016/j.annepidem.2022.06.036
_version_ 1784737420670926848
author Lichtenstein, Brian J.
Smith, Tyler
Smith, Besa
Sitzer, Matthew
Mahida, Daksha
Exley, Dan
author_facet Lichtenstein, Brian J.
Smith, Tyler
Smith, Besa
Sitzer, Matthew
Mahida, Daksha
Exley, Dan
author_sort Lichtenstein, Brian J.
collection PubMed
description IMPORTANCE: Patient age, comorbidity burden, and disease severity at presentation are the major factors associated with surviving COVID-19. Hospital-level factors including ICU occupancy may confer additional risk to individual patients, particularly at times of maximal stress on healthcare systems. The interaction of patient- and hospital-level factors over time during pandemic disease remains an area of active exploration. OBJECTIVE: To determine the impact of patient and hospital risk factors during episodic surges, characterize severity distribution between waves, and evaluate patient-level impact of ICU capacity on COVID-19 survivorship. DESIGN: Retrospective cohort study. SETTING: Four acute care hospitals within an integrated healthcare network in San Diego, California. PARTICIPANTS: All patients (18+ y.o.) admitted with a positive PCR test for SARS-CoV-2 or ICD-10 code for COVID-19 from March 1, 2020 through June 30, 2021. MAIN OUTCOME(S) AND MEASURE(S): Patient survivorship and length of stay. RESULTS: Six thousand eight hundred fifty-one patients were evaluated in this large cohort series. Patient level factors associated with mortality included: severity at admission (WHO Clinical Progression Score [WCPS]), age, gender, BMI, marital status, language preference, Elixhauser score, elevated laboratory (d-dimer, ferritin, LDH) or lower absolute lymphocyte count. When adjusting for patient age alone, survivorship during surges was also inversely associated with ICU occupancy, though this correlation was not present when adjusted for patient-level factors. CONCLUSIONS AND RELEVANCE: Patient age, comorbidity burden, and severity at the time of presentation are the major factors associated with surviving COVID-19. Hospital-level factors including ICU occupancy may confer additional risk to individual patients, particularly at times of maximal stress on healthcare systems.
format Online
Article
Text
id pubmed-9239923
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher Elsevier Inc.
record_format MEDLINE/PubMed
spelling pubmed-92399232022-06-29 The impact of key secular trends during the first three waves the COVID-19 pandemic Lichtenstein, Brian J. Smith, Tyler Smith, Besa Sitzer, Matthew Mahida, Daksha Exley, Dan Ann Epidemiol Original Article IMPORTANCE: Patient age, comorbidity burden, and disease severity at presentation are the major factors associated with surviving COVID-19. Hospital-level factors including ICU occupancy may confer additional risk to individual patients, particularly at times of maximal stress on healthcare systems. The interaction of patient- and hospital-level factors over time during pandemic disease remains an area of active exploration. OBJECTIVE: To determine the impact of patient and hospital risk factors during episodic surges, characterize severity distribution between waves, and evaluate patient-level impact of ICU capacity on COVID-19 survivorship. DESIGN: Retrospective cohort study. SETTING: Four acute care hospitals within an integrated healthcare network in San Diego, California. PARTICIPANTS: All patients (18+ y.o.) admitted with a positive PCR test for SARS-CoV-2 or ICD-10 code for COVID-19 from March 1, 2020 through June 30, 2021. MAIN OUTCOME(S) AND MEASURE(S): Patient survivorship and length of stay. RESULTS: Six thousand eight hundred fifty-one patients were evaluated in this large cohort series. Patient level factors associated with mortality included: severity at admission (WHO Clinical Progression Score [WCPS]), age, gender, BMI, marital status, language preference, Elixhauser score, elevated laboratory (d-dimer, ferritin, LDH) or lower absolute lymphocyte count. When adjusting for patient age alone, survivorship during surges was also inversely associated with ICU occupancy, though this correlation was not present when adjusted for patient-level factors. CONCLUSIONS AND RELEVANCE: Patient age, comorbidity burden, and severity at the time of presentation are the major factors associated with surviving COVID-19. Hospital-level factors including ICU occupancy may confer additional risk to individual patients, particularly at times of maximal stress on healthcare systems. Elsevier Inc. 2022-12 2022-06-29 /pmc/articles/PMC9239923/ /pubmed/35779708 http://dx.doi.org/10.1016/j.annepidem.2022.06.036 Text en © 2022 Elsevier Inc. All rights reserved. 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 Original Article
Lichtenstein, Brian J.
Smith, Tyler
Smith, Besa
Sitzer, Matthew
Mahida, Daksha
Exley, Dan
The impact of key secular trends during the first three waves the COVID-19 pandemic
title The impact of key secular trends during the first three waves the COVID-19 pandemic
title_full The impact of key secular trends during the first three waves the COVID-19 pandemic
title_fullStr The impact of key secular trends during the first three waves the COVID-19 pandemic
title_full_unstemmed The impact of key secular trends during the first three waves the COVID-19 pandemic
title_short The impact of key secular trends during the first three waves the COVID-19 pandemic
title_sort impact of key secular trends during the first three waves the covid-19 pandemic
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9239923/
https://www.ncbi.nlm.nih.gov/pubmed/35779708
http://dx.doi.org/10.1016/j.annepidem.2022.06.036
work_keys_str_mv AT lichtensteinbrianj theimpactofkeyseculartrendsduringthefirstthreewavesthecovid19pandemic
AT smithtyler theimpactofkeyseculartrendsduringthefirstthreewavesthecovid19pandemic
AT smithbesa theimpactofkeyseculartrendsduringthefirstthreewavesthecovid19pandemic
AT sitzermatthew theimpactofkeyseculartrendsduringthefirstthreewavesthecovid19pandemic
AT mahidadaksha theimpactofkeyseculartrendsduringthefirstthreewavesthecovid19pandemic
AT exleydan theimpactofkeyseculartrendsduringthefirstthreewavesthecovid19pandemic
AT lichtensteinbrianj impactofkeyseculartrendsduringthefirstthreewavesthecovid19pandemic
AT smithtyler impactofkeyseculartrendsduringthefirstthreewavesthecovid19pandemic
AT smithbesa impactofkeyseculartrendsduringthefirstthreewavesthecovid19pandemic
AT sitzermatthew impactofkeyseculartrendsduringthefirstthreewavesthecovid19pandemic
AT mahidadaksha impactofkeyseculartrendsduringthefirstthreewavesthecovid19pandemic
AT exleydan impactofkeyseculartrendsduringthefirstthreewavesthecovid19pandemic