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518. Factors Associated with Severe COVID-19 among Patients Hospitalized in Rhode Island

BACKGROUND: To better understand patient factors that impact clinical outcomes in COVID-19, we performed a retrospective cohort study of patients hospitalized with COVID-19 in Rhode Island to identify patient and clinical characteristics associated with severe disease. METHODS: We analyzed 259 patie...

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Autores principales: Pandita, Aakriti, Gillani, Fizza S, Shi, Yiyun, hardesty, Anna, Aridi, Jad, McCarthy, Meghan, Chiang, Silvia, Beckwith, Curt
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7777012/
http://dx.doi.org/10.1093/ofid/ofaa439.712
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author Pandita, Aakriti
Gillani, Fizza S
Shi, Yiyun
hardesty, Anna
Aridi, Jad
McCarthy, Meghan
Chiang, Silvia
Beckwith, Curt
author_facet Pandita, Aakriti
Gillani, Fizza S
Shi, Yiyun
hardesty, Anna
Aridi, Jad
McCarthy, Meghan
Chiang, Silvia
Beckwith, Curt
author_sort Pandita, Aakriti
collection PubMed
description BACKGROUND: To better understand patient factors that impact clinical outcomes in COVID-19, we performed a retrospective cohort study of patients hospitalized with COVID-19 in Rhode Island to identify patient and clinical characteristics associated with severe disease. METHODS: We analyzed 259 patients admitted to our academic medical center during a three month period with confirmed COVID-19. Clinical data was extracted via chart review and lab results within the first 24 hours of admission were extracted directly from electronic medical records. Patients were divided in two groups based upon the highest level of supplemental oxygen (O2) required during hospitalization: severe COVID-19 (high flow O2, non-invasive, or invasive mechanical ventilation) and non-severe COVID-19 (low flow O2 or no supplemental O2). SAS 9.4 (Cary, NC) was used for statistical analyses. Chi-square or Fisher’s exact tests for categorical variables and the Student’s t-test for continuous variables were used to compare demographics, baseline comorbidities, and clinical data between the severe and non-severe groups. Table 1: Demographics [Image: see text] RESULTS: Of 259 patients, 166 (64%) had non-severe disease, and 93 (36%) severe disease; median age [IQR] was 62 [51,73]. There were 138(53%) males and 75 (29%) Hispanics. Among non-Hispanics,124(48%) were White, 48(19%) African Americans, and 12(5%) other races. Sixty (23%) were admitted from a nursing facility and the in-hospital mortality rate was 15% (38/259). Severe COVID-19 was associated with older age (p=0.02), admission from nursing facility (p=0.009), increased BMI (p=0.03), diabetes mellitus (p=0.0002), and COPD (p=0.03). At the time of presentation, severe COVID-19 was associated with tachypnea, hypoxia, hypotension (all p< 0.0001), elevated BUN (p=0.002) and AST (p=0.001), and acute or chronic kidney injury (p=0.01). Median hospital stay [IQR] was 11 days [7,18] in the severe vs. 6 days [3,11] in the non-severe group. In the severe group, 72% required ICU admission and 39% died. Table 2: Medical comorbidities [Image: see text] Table 3: Presenting symptoms and signs in the first 48 hours of admission [Image: see text] Table 4: Basic labs in the first 24 hours [Image: see text] CONCLUSION: In this cohort of patients with COVID-19, specific comorbidities, and vital signs at presentation were associated with severe COVID-19. These findings help clinicians with early identification and triage of high risk patients. DISCLOSURES: All Authors: No reported disclosures
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spelling pubmed-77770122021-01-07 518. Factors Associated with Severe COVID-19 among Patients Hospitalized in Rhode Island Pandita, Aakriti Gillani, Fizza S Shi, Yiyun hardesty, Anna Aridi, Jad McCarthy, Meghan Chiang, Silvia Beckwith, Curt Open Forum Infect Dis Poster Abstracts BACKGROUND: To better understand patient factors that impact clinical outcomes in COVID-19, we performed a retrospective cohort study of patients hospitalized with COVID-19 in Rhode Island to identify patient and clinical characteristics associated with severe disease. METHODS: We analyzed 259 patients admitted to our academic medical center during a three month period with confirmed COVID-19. Clinical data was extracted via chart review and lab results within the first 24 hours of admission were extracted directly from electronic medical records. Patients were divided in two groups based upon the highest level of supplemental oxygen (O2) required during hospitalization: severe COVID-19 (high flow O2, non-invasive, or invasive mechanical ventilation) and non-severe COVID-19 (low flow O2 or no supplemental O2). SAS 9.4 (Cary, NC) was used for statistical analyses. Chi-square or Fisher’s exact tests for categorical variables and the Student’s t-test for continuous variables were used to compare demographics, baseline comorbidities, and clinical data between the severe and non-severe groups. Table 1: Demographics [Image: see text] RESULTS: Of 259 patients, 166 (64%) had non-severe disease, and 93 (36%) severe disease; median age [IQR] was 62 [51,73]. There were 138(53%) males and 75 (29%) Hispanics. Among non-Hispanics,124(48%) were White, 48(19%) African Americans, and 12(5%) other races. Sixty (23%) were admitted from a nursing facility and the in-hospital mortality rate was 15% (38/259). Severe COVID-19 was associated with older age (p=0.02), admission from nursing facility (p=0.009), increased BMI (p=0.03), diabetes mellitus (p=0.0002), and COPD (p=0.03). At the time of presentation, severe COVID-19 was associated with tachypnea, hypoxia, hypotension (all p< 0.0001), elevated BUN (p=0.002) and AST (p=0.001), and acute or chronic kidney injury (p=0.01). Median hospital stay [IQR] was 11 days [7,18] in the severe vs. 6 days [3,11] in the non-severe group. In the severe group, 72% required ICU admission and 39% died. Table 2: Medical comorbidities [Image: see text] Table 3: Presenting symptoms and signs in the first 48 hours of admission [Image: see text] Table 4: Basic labs in the first 24 hours [Image: see text] CONCLUSION: In this cohort of patients with COVID-19, specific comorbidities, and vital signs at presentation were associated with severe COVID-19. These findings help clinicians with early identification and triage of high risk patients. DISCLOSURES: All Authors: No reported disclosures Oxford University Press 2020-12-31 /pmc/articles/PMC7777012/ http://dx.doi.org/10.1093/ofid/ofaa439.712 Text en © The Author 2020. Published by Oxford University Press on behalf of Infectious Diseases Society of America. http://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 (http://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 Poster Abstracts
Pandita, Aakriti
Gillani, Fizza S
Shi, Yiyun
hardesty, Anna
Aridi, Jad
McCarthy, Meghan
Chiang, Silvia
Beckwith, Curt
518. Factors Associated with Severe COVID-19 among Patients Hospitalized in Rhode Island
title 518. Factors Associated with Severe COVID-19 among Patients Hospitalized in Rhode Island
title_full 518. Factors Associated with Severe COVID-19 among Patients Hospitalized in Rhode Island
title_fullStr 518. Factors Associated with Severe COVID-19 among Patients Hospitalized in Rhode Island
title_full_unstemmed 518. Factors Associated with Severe COVID-19 among Patients Hospitalized in Rhode Island
title_short 518. Factors Associated with Severe COVID-19 among Patients Hospitalized in Rhode Island
title_sort 518. factors associated with severe covid-19 among patients hospitalized in rhode island
topic Poster Abstracts
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7777012/
http://dx.doi.org/10.1093/ofid/ofaa439.712
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