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COVID-19 outcomes, risk factors and associations by race: a comprehensive analysis using electronic health records data in Michigan Medicine.
Gu, Tian; Mack, Jasmine A; Salvatore, Maxwell; Sankar, Swaraaj Prabhu; Valley, Thomas S; Singh, Karandeep; Nallamothu, Brahmajee K; Kheterpal, Sachin; Lisabeth, Lynda; Fritsche, Lars G; Mukherjee, Bhramar.
  • Gu T; Department of Biostatistics, University of Michigan School of Public Health, Ann Arbor, MI.
  • Mack JA; Department of Biostatistics, University of Michigan School of Public Health, Ann Arbor, MI.
  • Salvatore M; Department of Biostatistics, University of Michigan School of Public Health, Ann Arbor, MI.
  • Sankar SP; Rogel Cancer Center, University of Michigan Medicine, Ann Arbor, MI.
  • Valley TS; Data Office for Clinical and Translational Research, University of Michigan, Ann Arbor, MI.
  • Singh K; Division of Pulmonary and Critical Care Medicine and Department of Internal Medicine, University of Michigan, Ann Arbor, MI.
  • Nallamothu BK; Institute for Healthcare Policy and Innovation, University of Michigan, Ann Arbor, MI.
  • Kheterpal S; Institute for Healthcare Policy and Innovation, University of Michigan, Ann Arbor, MI.
  • Lisabeth L; Department of Learning Health Sciences, University of Michigan, Ann Arbor, MI.
  • Fritsche LG; Division of Cardiovascular Medicine and Department of Internal Medicine, University of Michigan Medical School, Ann Arbor, MI.
  • Mukherjee B; Institute for Healthcare Policy and Innovation, University of Michigan, Ann Arbor, MI.
medRxiv ; 2020 Jun 18.
Article in English | MEDLINE | ID: covidwho-721051
Preprint
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ABSTRACT
IMPORTANCE Blacks/African-Americans are overrepresented in the number of COVID-19 infections, hospitalizations and deaths. Reasons for this disparity have not been well-characterized but may be due to underlying comorbidities or sociodemographic factors.

OBJECTIVE:

To systematically determine patient characteristics associated with racial/ethnic disparities in COVID-19 outcomes.

DESIGN:

A retrospective cohort study with comparative control groups.

SETTING:

Patients tested for COVID-19 at University of Michigan Medicine from March 10, 2020 to April 22, 2020.

PARTICIPANTS:

5,698 tested patients and two sets of comparison groups who were not tested for COVID-19 randomly selected unmatched controls (n = 7,211) and frequency-matched controls by race, age, and sex (n = 13,351). Main Outcomes and

Measures:

We identified factors associated with testing and testing positive for COVID-19, being hospitalized, requiring intensive care unit (ICU) admission, and mortality (in/out-patient during the time frame). Factors included race/ethnicity, age, smoking, alcohol consumption, healthcare utilization, and residential-level socioeconomic characteristics (SES; i.e., education, unemployment, population density, and poverty rate). Medical comorbidities were defined from the International Classification of Diseases (ICD) codes, and were aggregated into a comorbidity score.

RESULTS:

Of 5,698 patients, (median age, 47 years; 38% male; mean BMI, 30.1), the majority were non-Hispanic Whites (NHW, 59.2%) and non-Hispanic Black/African-Americans (NHAA, 17.2%). Among 1,119 diagnosed, there were 41.2% NHW and 37.4% NHAA; 44.8% hospitalized, 20.6% admitted to ICU, and 3.8% died. Adjusting for age, sex, and SES, NHAA were 1.66 times more likely to be hospitalized (95% CI, 1.09-2.52; P=.02), 1.52 times more likely to enter ICU (95% CI, 0.92-2.52; P=.10). In addition to older age, male sex and obesity, high population density neighborhood (OR, 1.27 associated with one SD change [95% CI, 1.20-1.76]; P=.02) was associated with hospitalization. Pre-existing kidney disease led to 2.55 times higher risk of hospitalization (95% CI, 1.62-4.02; P<.001) in the overall population and 11.9 times higher mortality risk in NHAA (95% CI, 2.2-64.7, P=.004). CONCLUSIONS AND RELEVANCE Pre-existing type II diabetes/kidney diseases and living in high population density areas were associated with high risk for COVID-19 susceptibility and poor prognosis. Association of risk factors with COVID-19 outcomes differed by race. NHAA patients were disproportionately affected by obesity and kidney disease.

Full text: Available Collection: International databases Database: MEDLINE Type of study: Cohort study / Experimental Studies / Observational study / Prognostic study / Randomized controlled trials Language: English Year: 2020 Document Type: Article

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Full text: Available Collection: International databases Database: MEDLINE Type of study: Cohort study / Experimental Studies / Observational study / Prognostic study / Randomized controlled trials Language: English Year: 2020 Document Type: Article