Risk Factors for In-hospital Mortality from Coronavirus Disease 2019 Infection Among Black Patients-An Urban Center Experience
© The Author(s) 2020. Published by Oxford University Press for the Infectious Diseases Society of America. All rights reserved. For permissions, e-mail: journals.permissionsoup.com..
BACKGROUND: Racial disparities are central in the national conversation about coronavirus disease 2019 (COVID-19) , with Black/African Americans being disproportionately affected. We assessed risk factors for death from COVID-19 among Black inpatients at an urban hospital in Detroit, Michigan.
METHODS: This was a retrospective, single-center cohort study. We reviewed the electronic medical records of patients positive for severe acute respiratory syndrome coronavirus 2 (the COVID-19 virus) on qualitative polymerase chain reaction assay who were admitted between 8 March 2020 and 6 May 2020. The primary outcome was in-hospital mortality.
RESULTS: The case fatality rate was 29.1% (122/419). The mean duration of symptoms prior to hospitalization was 5.3 (3.9) days. The incidence of altered mental status on presentation was higher among patients who died than those who survived, 43% vs 20.0%, respectively (P < .0001). From multivariable analysis, the odds of death increased with age (≥60 years), admission from a nursing facility, Charlson score, altered mental status, higher C-reactive protein on admission, need for mechanical ventilation, presence of shock, and acute respiratory distress syndrome.
CONCLUSIONS: These demographic, clinical, and laboratory factors may help healthcare providers identify Black patients at highest risk for severe COVID-19-associated outcomes. Early and aggressive interventions among this at-risk population may help mitigate adverse outcomes.
Medienart: |
E-Artikel |
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Erscheinungsjahr: |
2021 |
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Erschienen: |
2021 |
Enthalten in: |
Zur Gesamtaufnahme - volume:73 |
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Enthalten in: |
Clinical infectious diseases : an official publication of the Infectious Diseases Society of America - 73(2021), 11 vom: 06. Dez., Seite e4005-e4011 |
Sprache: |
Englisch |
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Beteiligte Personen: |
Bhargava, Ashish [VerfasserIn] |
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Links: |
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Themen: |
Black/African Americans |
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Anmerkungen: |
Date Completed 13.12.2021 Date Revised 07.12.2022 published: Print Citation Status MEDLINE |
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doi: |
10.1093/cid/ciaa1468 |
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funding: |
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Förderinstitution / Projekttitel: |
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PPN (Katalog-ID): |
NLM315568046 |
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520 | |a © The Author(s) 2020. Published by Oxford University Press for the Infectious Diseases Society of America. All rights reserved. For permissions, e-mail: journals.permissionsoup.com. | ||
520 | |a BACKGROUND: Racial disparities are central in the national conversation about coronavirus disease 2019 (COVID-19) , with Black/African Americans being disproportionately affected. We assessed risk factors for death from COVID-19 among Black inpatients at an urban hospital in Detroit, Michigan | ||
520 | |a METHODS: This was a retrospective, single-center cohort study. We reviewed the electronic medical records of patients positive for severe acute respiratory syndrome coronavirus 2 (the COVID-19 virus) on qualitative polymerase chain reaction assay who were admitted between 8 March 2020 and 6 May 2020. The primary outcome was in-hospital mortality | ||
520 | |a RESULTS: The case fatality rate was 29.1% (122/419). The mean duration of symptoms prior to hospitalization was 5.3 (3.9) days. The incidence of altered mental status on presentation was higher among patients who died than those who survived, 43% vs 20.0%, respectively (P < .0001). From multivariable analysis, the odds of death increased with age (≥60 years), admission from a nursing facility, Charlson score, altered mental status, higher C-reactive protein on admission, need for mechanical ventilation, presence of shock, and acute respiratory distress syndrome | ||
520 | |a CONCLUSIONS: These demographic, clinical, and laboratory factors may help healthcare providers identify Black patients at highest risk for severe COVID-19-associated outcomes. Early and aggressive interventions among this at-risk population may help mitigate adverse outcomes | ||
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