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Impact of Race and Socioeconomic Status on Outcomes in Patients Hospitalized with COVID-19

BACKGROUND: The impact of race and socioeconomic status on clinical outcomes has not been quantified in patients hospitalized with coronavirus disease 2019 (COVID-19). OBJECTIVE: To evaluate the association between patient sociodemographics and neighborhood disadvantage with frequencies of death, in...

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Autores principales: Quan, Daniel, Luna Wong, Lucía, Shallal, Anita, Madan, Raghav, Hamdan, Abel, Ahdi, Heaveen, Daneshvar, Amir, Mahajan, Manasi, Nasereldin, Mohamed, Van Harn, Meredith, Opara, Ijeoma Nnodim, Zervos, Marcus
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7840076/
https://www.ncbi.nlm.nih.gov/pubmed/33506402
http://dx.doi.org/10.1007/s11606-020-06527-1
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author Quan, Daniel
Luna Wong, Lucía
Shallal, Anita
Madan, Raghav
Hamdan, Abel
Ahdi, Heaveen
Daneshvar, Amir
Mahajan, Manasi
Nasereldin, Mohamed
Van Harn, Meredith
Opara, Ijeoma Nnodim
Zervos, Marcus
author_facet Quan, Daniel
Luna Wong, Lucía
Shallal, Anita
Madan, Raghav
Hamdan, Abel
Ahdi, Heaveen
Daneshvar, Amir
Mahajan, Manasi
Nasereldin, Mohamed
Van Harn, Meredith
Opara, Ijeoma Nnodim
Zervos, Marcus
author_sort Quan, Daniel
collection PubMed
description BACKGROUND: The impact of race and socioeconomic status on clinical outcomes has not been quantified in patients hospitalized with coronavirus disease 2019 (COVID-19). OBJECTIVE: To evaluate the association between patient sociodemographics and neighborhood disadvantage with frequencies of death, invasive mechanical ventilation (IMV), and intensive care unit (ICU) admission in patients hospitalized with COVID-19. DESIGN: Retrospective cohort study. SETTING: Four hospitals in an integrated health system serving southeast Michigan. PARTICIPANTS: Adult patients admitted to the hospital with a COVID-19 diagnosis confirmed by polymerase chain reaction. MAIN MEASURES: Patient sociodemographics, comorbidities, and clinical outcomes were collected. Neighborhood socioeconomic variables were obtained at the census tract level from the 2018 American Community Survey. Relationships between neighborhood median income and clinical outcomes were evaluated using multivariate logistic regression models, controlling for patient age, sex, race, Charlson Comorbidity Index, obesity, smoking status, and living environment. KEY RESULTS: Black patients lived in significantly poorer neighborhoods than White patients (median income: $34,758 (24,531–56,095) vs. $63,317 (49,850–85,776), p < 0.001) and were more likely to have Medicaid insurance (19.4% vs. 11.2%, p < 0.001). Patients from neighborhoods with lower median income were significantly more likely to require IMV (lowest quartile: 25.4%, highest quartile: 16.0%, p < 0.001) and ICU admission (35.2%, 19.9%, p < 0.001). After adjusting for age, sex, race, and comorbidities, higher neighborhood income ($10,000 increase) remained a significant negative predictor for IMV (OR: 0.95 (95% CI 0.91, 0.99), p = 0.02) and ICU admission (OR: 0.92 (95% CI 0.89, 0.96), p < 0.001). CONCLUSIONS: Neighborhood disadvantage, which is closely associated with race, is a predictor of poor clinical outcomes in COVID-19. Measures of neighborhood disadvantage should be used to inform policies that aim to reduce COVID-19 disparities in the Black community. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s11606-020-06527-1.
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spelling pubmed-78400762021-01-28 Impact of Race and Socioeconomic Status on Outcomes in Patients Hospitalized with COVID-19 Quan, Daniel Luna Wong, Lucía Shallal, Anita Madan, Raghav Hamdan, Abel Ahdi, Heaveen Daneshvar, Amir Mahajan, Manasi Nasereldin, Mohamed Van Harn, Meredith Opara, Ijeoma Nnodim Zervos, Marcus J Gen Intern Med Original Research BACKGROUND: The impact of race and socioeconomic status on clinical outcomes has not been quantified in patients hospitalized with coronavirus disease 2019 (COVID-19). OBJECTIVE: To evaluate the association between patient sociodemographics and neighborhood disadvantage with frequencies of death, invasive mechanical ventilation (IMV), and intensive care unit (ICU) admission in patients hospitalized with COVID-19. DESIGN: Retrospective cohort study. SETTING: Four hospitals in an integrated health system serving southeast Michigan. PARTICIPANTS: Adult patients admitted to the hospital with a COVID-19 diagnosis confirmed by polymerase chain reaction. MAIN MEASURES: Patient sociodemographics, comorbidities, and clinical outcomes were collected. Neighborhood socioeconomic variables were obtained at the census tract level from the 2018 American Community Survey. Relationships between neighborhood median income and clinical outcomes were evaluated using multivariate logistic regression models, controlling for patient age, sex, race, Charlson Comorbidity Index, obesity, smoking status, and living environment. KEY RESULTS: Black patients lived in significantly poorer neighborhoods than White patients (median income: $34,758 (24,531–56,095) vs. $63,317 (49,850–85,776), p < 0.001) and were more likely to have Medicaid insurance (19.4% vs. 11.2%, p < 0.001). Patients from neighborhoods with lower median income were significantly more likely to require IMV (lowest quartile: 25.4%, highest quartile: 16.0%, p < 0.001) and ICU admission (35.2%, 19.9%, p < 0.001). After adjusting for age, sex, race, and comorbidities, higher neighborhood income ($10,000 increase) remained a significant negative predictor for IMV (OR: 0.95 (95% CI 0.91, 0.99), p = 0.02) and ICU admission (OR: 0.92 (95% CI 0.89, 0.96), p < 0.001). CONCLUSIONS: Neighborhood disadvantage, which is closely associated with race, is a predictor of poor clinical outcomes in COVID-19. Measures of neighborhood disadvantage should be used to inform policies that aim to reduce COVID-19 disparities in the Black community. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s11606-020-06527-1. Springer International Publishing 2021-01-27 2021-05 /pmc/articles/PMC7840076/ /pubmed/33506402 http://dx.doi.org/10.1007/s11606-020-06527-1 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Original Research
Quan, Daniel
Luna Wong, Lucía
Shallal, Anita
Madan, Raghav
Hamdan, Abel
Ahdi, Heaveen
Daneshvar, Amir
Mahajan, Manasi
Nasereldin, Mohamed
Van Harn, Meredith
Opara, Ijeoma Nnodim
Zervos, Marcus
Impact of Race and Socioeconomic Status on Outcomes in Patients Hospitalized with COVID-19
title Impact of Race and Socioeconomic Status on Outcomes in Patients Hospitalized with COVID-19
title_full Impact of Race and Socioeconomic Status on Outcomes in Patients Hospitalized with COVID-19
title_fullStr Impact of Race and Socioeconomic Status on Outcomes in Patients Hospitalized with COVID-19
title_full_unstemmed Impact of Race and Socioeconomic Status on Outcomes in Patients Hospitalized with COVID-19
title_short Impact of Race and Socioeconomic Status on Outcomes in Patients Hospitalized with COVID-19
title_sort impact of race and socioeconomic status on outcomes in patients hospitalized with covid-19
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7840076/
https://www.ncbi.nlm.nih.gov/pubmed/33506402
http://dx.doi.org/10.1007/s11606-020-06527-1
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