Suscribirse

Differences in Inflammation, Treatment, and Outcomes Between Black and Non-Black Patients Hospitalized for COVID-19: A Prospective Cohort Study - 03/03/22

Doi : 10.1016/j.amjmed.2021.10.026 
Tariq U. Azam, MD a, Hanna Berlin, MD b, Elizabeth Anderson, MPH a, Michael Pan, MD c, Husam R. Shadid, MD c, Kishan Padalia, MD c, Patrick O'Hayer, MD c, Chelsea Meloche, MD c, Rafey Feroze, MD c, Erinleigh Michaud, MD c, Christopher Launius, BS a, Penelope Blakely, BS a, Abbas Bitar, MD a, Cristen Willer, PhD a, Rodica Pop-Busui, MD, Phd d, John M. Carethers, MD e, Salim S. Hayek, MD a,
a Department of Internal Medicine, Division of Cardiology, University of Michigan, Ann Arbor 
b University of Michigan Medical School, Ann Arbor 
c Department of Internal Medicine, University of Michigan, Ann Arbor 
d Division of Metabolism, Endocrinology and Diabetes, Department of Internal Medicine, University of Michigan, Ann Arbor MI, USA 
e Division of Gastroenterology & Hepatology, Department of Internal Medicine and Department of Human Genetics, University of Michigan, Ann Arbor 

Requests for reprints should be addressed to Salim Hayek, MD, Department of Medicine, Division of Cardiology, University of Michigan Frankel Cardiovascular Center, 1500 E Medical Center Dr, CVC #2709, Ann Arbor, MI, 48109. E-mail address:Department of Medicine, Division of CardiologyUniversity of Michigan Frankel Cardiovascular Center1500 E Medical Center Dr, CVC #2709Ann ArborMI48109

Bienvenido a EM-consulte, la referencia de los profesionales de la salud.
Artículo gratuito.

Conéctese para beneficiarse!

Abstract

Purpose

Racial disparities in coronavirus disease 2019 (COVID-19) outcomes have been described. We sought to determine whether differences in inflammatory markers, use of COVID-19 therapies, enrollment in clinical trials, and in-hospital outcomes contribute to racial disparities between Black and non-Black patients hospitalized for COVID-19.

Methods

We leveraged a prospective cohort study that enrolled 1325 consecutive patients hospitalized for COVID-19, of whom 341 (25.7%) were Black. We measured biomarkers of inflammation and collected data on the use COVID-19-directed therapies, enrollment in COVID-19 clinical trials, mortality, need for renal replacement therapy, and need for mechanical ventilation.

Results

Compared to non-Black patients, Black patients had a higher prevalence of COVID-19 risk factors including obesity, hypertension, and diabetes mellitus and were more likely to require renal replacement therapy (15.8% vs 7.1%, P < .001) and mechanical ventilation (37.2% vs 26.6%, P < .001) during their hospitalization. Mortality was similar between both groups (15.5% for Blacks vs 14.0% for non-Blacks, P = .49). Black patients were less likely to receive corticosteroids (44.9% vs 63.8%, P< .001) or remdesivir (23.8% vs 57.8%, P < .001) and were less likely to be enrolled in COVID-19 clinical trials (15.3% vs 28.2%, P < .001). In adjusted analyses, Black race was associated with lower levels of C-reactive protein and soluble urokinase receptor and higher odds of death, mechanical ventilation, and renal replacement therapy. Differences in outcomes were not significant after adjusting for use of remdesivir and corticosteroids.

Conclusions

Racial differences in outcomes of patients with COVID-19 may be related to differences in inflammatory response and differential use of therapies.

El texto completo de este artículo está disponible en PDF.

Keywords : African Americans, Convalescent serum, Coronavirus, Corticosteroids, Disparities, M2C2, Remdesivir, SARS-COV-2


Esquema


 Funding: RP-B is supported by NIH/NIDDK-1-R01-DK-107956-01, NIH U01 DK119083, and Juvenile Diabetes Research Foundation. SSH is funded by NIH 1R01HL153384, U01-DK119083, R01-DK109720. and the Frankel Cardiovascular Center COVID-19: Impact Research Ignitor (U-M G024231) award.
 Conflicts of Interest: The wife of CW works at Regeneron Pharmaceuticals. SSH is a member of the scientific advisory board of Walden Biosciences. TUA, HB, EA, MP, HRS, KP, PO'H, CM, RF, EM, CL, PB, AB, RP-B, JMC report none.
 Authorship: All authors had access to the data and a role in writing this manuscript.


© 2021  Elsevier Inc. Reservados todos los derechos.
Añadir a mi biblioteca Eliminar de mi biblioteca Imprimir
Exportación

    Exportación citas

  • Fichero

  • Contenido

Vol 135 - N° 3

P. 360-368 - mars 2022 Regresar al número
Artículo precedente Artículo precedente
  • The Impact of an Inpatient Pancreatitis Service and Educational Intervention Program on the Outcome of Acute Pancreatitis
  • Cinthana Kandasamy, Ishani Shah, William Yakah, Awais Ahmed, Supisara Tintara, Cristina Sorrento, Steven D. Freedman, Darshan J. Kothari, Sunil G. Sheth
| Artículo siguiente Artículo siguiente
  • Oral Is the New IV. Challenging Decades of Blood and Bone Infection Dogma: A Systematic Review
  • Noah Wald-Dickler, Paul D. Holtom, Matthew C. Phillips, Robert M. Centor, Rachael. A. Lee, Rachel Baden, Brad Spellberg

Bienvenido a EM-consulte, la referencia de los profesionales de la salud.

Mi cuenta


Declaración CNIL

EM-CONSULTE.COM se declara a la CNIL, la declaración N º 1286925.

En virtud de la Ley N º 78-17 del 6 de enero de 1978, relativa a las computadoras, archivos y libertades, usted tiene el derecho de oposición (art.26 de la ley), el acceso (art.34 a 38 Ley), y correcta (artículo 36 de la ley) los datos que le conciernen. Por lo tanto, usted puede pedir que se corrija, complementado, clarificado, actualizado o suprimido información sobre usted que son inexactos, incompletos, engañosos, obsoletos o cuya recogida o de conservación o uso está prohibido.
La información personal sobre los visitantes de nuestro sitio, incluyendo su identidad, son confidenciales.
El jefe del sitio en el honor se compromete a respetar la confidencialidad de los requisitos legales aplicables en Francia y no de revelar dicha información a terceros.


Todo el contenido en este sitio: Copyright © 2025 Elsevier, sus licenciantes y colaboradores. Se reservan todos los derechos, incluidos los de minería de texto y datos, entrenamiento de IA y tecnologías similares. Para todo el contenido de acceso abierto, se aplican los términos de licencia de Creative Commons.