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10.1111/joim.13199

http://scihub22266oqcxt.onion/10.1111/joim.13199
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33164230!9325576!33164230
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suck abstract from ncbi

pmid33164230      J+Intern+Med 2021 ; 289 (4): 463-473
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  • Insights into disparities observed with COVID-19 #MMPMID33164230
  • Carethers JM
  • J Intern Med 2021[Apr]; 289 (4): 463-473 PMID33164230show ga
  • The onset of human disease by infection with SARS-CoV-2 causing COVID-19 has revealed risk factors for disease severity. There are four identified factors that put one at high risk for infection and/or mortality creating a disparity: age, co-morbidities, race/ethnicity and gender. Data indicate that the older a person is, and/or the presence of obesity and diabetes, cardiovascular disease and chronic kidney disease place one at higher risk for COVID-19. In the United States, specific race/ethnicities, particularly African Americans and Native Americans, are strong COVID-19 risk components. Male gender has also emerged as a severity risk factor. For age and racial/ethnicities, the accumulation of health co-morbidities is common precipitating mechanisms. In particular, underlying socio-economic structures in the United States likely drive development of co-morbidities, putting affected populations at higher risk for severe COVID-19. Sudden cardiac death triggered by a common sodium channel variant in African Americans with COVID-19 has not been evaluated as a cause for racial disparity. There is no evidence that racial/ethnic differences for COVID-19 are caused by ABO blood groups, use of angiotensin-converting enzyme (ACE) inhibitors or from amino acid substitutions in the SARS-CoV-2 spike protein. There is growing evidence that androgen-enabled expression of ACE2 receptors and the serine protease TMPRSS2, two permissive elements engaging the SARS-CoV-2 spike protein for infection, may contribute to severe COVID-19 in men. Overall, COVID-19 has generated disparities for who is infected and the severity of that infection. Understanding the mechanisms for the disparity will help nullify the differences in risk for COVID-19.
  • |*COVID-19/epidemiology/immunology/physiopathology[MESH]
  • |*Health Status Disparities[MESH]
  • |Comorbidity[MESH]
  • |Ethnicity[MESH]
  • |Humans[MESH]
  • |Risk Factors[MESH]
  • |SARS-CoV-2/*physiology[MESH]
  • |Severity of Illness Index[MESH]
  • |Sex Factors[MESH]


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