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Predicting 30 – Day outcomes in emergency department patients discharged with COVID-19
INTRODUCTION: Determining disposition for COVID-19 patients can be difficult for emergency medicine clinicians. Previous studies have demonstrated risk factors which predict severe infection and mortality however little is known about which risk factors are associated with failure of outpatient mana...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier Inc.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8410217/ https://www.ncbi.nlm.nih.gov/pubmed/34537576 http://dx.doi.org/10.1016/j.ajem.2021.08.077 |
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author | McKay, Benjamin Meyers, Matthew Rivard, Leah Stoltzfus, Jill Rammohan, Guhan Stankewicz, Holly |
author_facet | McKay, Benjamin Meyers, Matthew Rivard, Leah Stoltzfus, Jill Rammohan, Guhan Stankewicz, Holly |
author_sort | McKay, Benjamin |
collection | PubMed |
description | INTRODUCTION: Determining disposition for COVID-19 patients can be difficult for emergency medicine clinicians. Previous studies have demonstrated risk factors which predict severe infection and mortality however little is known about which risk factors are associated with failure of outpatient management and subsequent admission for COVID-19 patients. METHODS: We conducted a retrospective observational chart review of patients who had a confirmed positive COVID-19 test collected during an ED visit between March 1, 2020 and October 11, 2020. Patients were divided into two groups based on presence or absence of a subsequent 30-day hospitalization. Clinical and demographic information were collected including chief complaint, triage vital signs and comorbid medical conditions. RESULTS: 1038 patients were seen and discharged from a network ED with a positive SARS-CoV-2 PCR test. 94 patients (9.1%) were admitted to a hospital within 30 days of the index ED visit while 944 (90.9%) were not admitted to a network hospital within 30 days. Patients that were admitted were more likely to be older (aOR = 1.04 (95% CI 1.03–1.06)), hypoxic (aOR = 2.16 (95% CI 1.14–4.10)) and tachycardic (aOR = 2.13 (95% CI 1.34–3.38)) on initial ED presentation. Preexisting hypertension, diabetes mellitus, coronary artery disease, chronic kidney disease and malignancy were all highly significant risk factors for 30-day hospital admission following initial ED discharge (p < 0.0001). CONCLUSION: Emergency Department providers should consider age, chief complaint, vital signs and comorbid medical conditions when determining disposition for patients diagnosed with COVID-19. |
format | Online Article Text |
id | pubmed-8410217 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Elsevier Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-84102172021-09-02 Predicting 30 – Day outcomes in emergency department patients discharged with COVID-19 McKay, Benjamin Meyers, Matthew Rivard, Leah Stoltzfus, Jill Rammohan, Guhan Stankewicz, Holly Am J Emerg Med Article INTRODUCTION: Determining disposition for COVID-19 patients can be difficult for emergency medicine clinicians. Previous studies have demonstrated risk factors which predict severe infection and mortality however little is known about which risk factors are associated with failure of outpatient management and subsequent admission for COVID-19 patients. METHODS: We conducted a retrospective observational chart review of patients who had a confirmed positive COVID-19 test collected during an ED visit between March 1, 2020 and October 11, 2020. Patients were divided into two groups based on presence or absence of a subsequent 30-day hospitalization. Clinical and demographic information were collected including chief complaint, triage vital signs and comorbid medical conditions. RESULTS: 1038 patients were seen and discharged from a network ED with a positive SARS-CoV-2 PCR test. 94 patients (9.1%) were admitted to a hospital within 30 days of the index ED visit while 944 (90.9%) were not admitted to a network hospital within 30 days. Patients that were admitted were more likely to be older (aOR = 1.04 (95% CI 1.03–1.06)), hypoxic (aOR = 2.16 (95% CI 1.14–4.10)) and tachycardic (aOR = 2.13 (95% CI 1.34–3.38)) on initial ED presentation. Preexisting hypertension, diabetes mellitus, coronary artery disease, chronic kidney disease and malignancy were all highly significant risk factors for 30-day hospital admission following initial ED discharge (p < 0.0001). CONCLUSION: Emergency Department providers should consider age, chief complaint, vital signs and comorbid medical conditions when determining disposition for patients diagnosed with COVID-19. Elsevier Inc. 2021-12 2021-09-02 /pmc/articles/PMC8410217/ /pubmed/34537576 http://dx.doi.org/10.1016/j.ajem.2021.08.077 Text en © 2021 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 | Article McKay, Benjamin Meyers, Matthew Rivard, Leah Stoltzfus, Jill Rammohan, Guhan Stankewicz, Holly Predicting 30 – Day outcomes in emergency department patients discharged with COVID-19 |
title | Predicting 30 – Day outcomes in emergency department patients discharged with COVID-19 |
title_full | Predicting 30 – Day outcomes in emergency department patients discharged with COVID-19 |
title_fullStr | Predicting 30 – Day outcomes in emergency department patients discharged with COVID-19 |
title_full_unstemmed | Predicting 30 – Day outcomes in emergency department patients discharged with COVID-19 |
title_short | Predicting 30 – Day outcomes in emergency department patients discharged with COVID-19 |
title_sort | predicting 30 – day outcomes in emergency department patients discharged with covid-19 |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8410217/ https://www.ncbi.nlm.nih.gov/pubmed/34537576 http://dx.doi.org/10.1016/j.ajem.2021.08.077 |
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