New Study Finds Once Hospitalized, Black Patients with COVID-19 Have Lower Risk of Death than White Patients

While multiple research studies show that Black and Hispanic patients are more likely to test positive for COVID-19, a team of investigators at NYU Langone Health has found that once hospitalized, Black patients (after controlling for other serious health conditions and neighborhood income) were less likely to have severe illness, die, or be discharged to hospice compared to White patients.    

The study — recently published online in JAMA Network Open is, according to its authors, one of the first to examine the impact of comorbid conditions and neighborhood socioeconomic status (SES) on outcomes for Black, Hispanic and Asian patients hospitalized for COVID-19. Findings indicate that Black and Hispanic populations are not inherently more susceptible to poor COVID-19 outcomes compared to other groups, and that once hospitalized, their outcomes are equal to or better than their White counterparts.    

“We know that Black and Hispanic populations account for a disproportionate share of COVID-19-related deaths relative to their population size in New York and major cities across the country,” says Gbenga Ogedegbe, MD, MPH, Dr. Adolph and Margaret Berger Professor of Medicine and Population Health at NYU Langone Health, and the study’s lead author. “We were, however, surprised to find that Black and Hispanic patients were no more likely to be hospitalized across NYU Langone than White patients, which means we need to look at other structural factors at play that are negatively affecting outcomes in these communities. These factors include poor housing conditions, unequal access to health care, differential employment opportunities, and poverty—and they must be addressed,” says Ogedegbe, who is also director of NYU Langone’s Institute for Excellence in Health Equity.

How the Study Was Conducted 

The team of investigators obtained all data from NYU Langone Health’s electronic health record (EHR) of 9,722 patients tested for COVID-19 at the health system’s 260 outpatient office sites and four acute care hospitals in Manhattan, Brooklyn, and Long Island between March 1, 2020 and April 8, 2020, and followed them through May 13, 2020. The patients’ race and ethnicity data was self-reported.   

For every patient who tested positive for COVID-19 , the researchers compiled race/ethnicity data, patient characteristics such as body mass index (BMI), age and sex, and neighborhood socioeconomic (SES) data contained in a weighted index of seven indicators (including median household income, level of education and housing value, among others). 

Study Findings 

  • Among the 4,843 patients who tested positive for COVID-19, 39 percent were White, 15.7 percent were Black, 25.9 percent were Hispanic, 7 percent were Asian, and 7.4 percent were multiracial/other; 2,623 patients were hospitalized.
  • Of 2,623 patients hospitalized, 39.9 percent were White, 14.3 percent were Black, 27.3 percent were Hispanic, 6.9 percent were Asian, and 7.9 percent were multiracial/other. Hospitalized patients were older and had higher comorbidity than patients who tested positive but were not hospitalized. 70.8 percent were discharged, 36.3 percent experienced critical illness, 24.7 percent died or were discharged to hospice, and 4.5 percent remained hospitalized as of May 13, 2020.
  • Black and Hispanic patients had a lower risk of critical illness and were less likely to die or be discharged to hospice compared to White patients. After adjusting for age, sex, insurance status and comorbidity, Black patients continued to have lower risk of death compared to White patients, while Hispanics and Asian patients had similar rates to White patients.
  • After adjusting for all the above factors, Asian patients had higher odds of being hospitalized than White patients even though they were less likely to test positive for COVID-19.

“Our findings provide more evidence that the social determinants of health play a critical role in determining patient outcomes, particularly for Black patients, before they ever get to the hospital,” said Joseph Ravenell, MD, associate professor in the Department of Population Health and associate dean for Diversity Affairs and Inclusion at NYU Langone. 

“However, we do see a bit of a paradox,” said Ravenell. “In keeping with other research, we’ve found that once Black patients with COVID-19 make it to the hospital– despite coming from lower-income neighborhoods–their odds of dying are similar to or lower than White patients. Meanwhile, we also know that Black and Hispanic people are disproportionately contracting and dying of COVID-19 across the country.”

According to Ogedegbe and Ravenell, Black populations are more likely to be uninsured and underinsured than White populations and thus more likely to die at home as opposed to in hospital due to poorer access to care. Another predictor of poor outcomes for patients hospitalized with COVID-19 is male sex. In this particular study cohort, 62 percent of Black hospitalized patients were female, which could explain their relatively better outcomes. The study population may also not be representative of the overall New York City population, they said. 

Study senior author Leora Horwitz, MD, associate professor in the Departments of Population Health and Medicine and director of the Center for Healthcare Innovation and Delivery Science at NYU Langone, says that future studies need to better examine the direct impact of structural inequities on racial and ethnic disparities in COVID-19 related hospitalization, morbidity, and mortality. 

In addition to Ogedegbe, Horwitz, and Ravenell, additional co-authors from NYU Langone Health are Samrachana Adhikari, PhD, Mark Butler, PhD, Tiffany Cook, MA, Fritz Francois, MD, Eduardo Iturrate, MD, Girardin Jean-Louis, PhD, Simon Jones, PhD, Deborah Onakomaiya, MPH, Christopher Petrilli, MD, Claudia Pulgarin, MS, Seann Reagan, MA, Harmony Reynolds, MD, Azizi Seixas, PhD, and Frank Michael Volpicelli, MD.  

 

Media Inquiries:

Sasha Walek

646-501-3873

[email protected]

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