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suck abstract from ncbi

pmid34061785      Infez+Med 2021 ; 29 (2): 209-215
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  • Use of renin-angiotensin system inhibitors and clinical predictors of COVID-19 severity in a tertiary hospital in the city of Buenos Aires #MMPMID34061785
  • Barochiner J; Martinez R; Conti PR; Marin MJ; Ko EA; Osorno MS
  • Infez Med 2021[Jun]; 29 (2): 209-215 PMID34061785show ga
  • Information regarding predictors of a worse COVID-19 prognosis in the South American population is scarce. We aimed to determine whether the blockade of the renin-angiotensin system is associated with a worse clinical course of COVID-19, and to evaluate what clinical variables are associated with COVID severity in our population. We included adult subjects with rtPCR-confirmed COVID-19. The use of renin system inhibitors was defined according to its registration in the electronic medical record or the hospital pharmacy registry during the previous three months. Our endpoint was a composite of death or mechanical ventilation requirement. Patients were followed up until discharge or death. A multiple logistic regression model was used to determine the predictors of the composite endpoint. In all, we included 4930 COVID+ patients, the median age was 52 years, and 48.1% were male. The endpoint occurred in 488 patients (9.9%). In adjusted analysis, neither angiotensin converting enzyme inhibitors nor angiotensin receptor blockers were associated with the outcome. Independent predictors of mortality and/or mechanical ventilation requirement were age, male sex, a history of diabetes and/or chronic kidney disease, smoking and dementia. To conclude, renin system inhibitors seem to be unrelated to COVID-19 severity, whereas prognosis is independently associated with age, male sex and comorbidities.
  • |*COVID-19 Drug Treatment[MESH]
  • |*Severity of Illness Index[MESH]
  • |Adult[MESH]
  • |Age Factors[MESH]
  • |Aged[MESH]
  • |Angiotensin Receptor Antagonists/*therapeutic use[MESH]
  • |Angiotensin-Converting Enzyme Inhibitors/*therapeutic use[MESH]
  • |Argentina/epidemiology[MESH]
  • |COVID-19/epidemiology/mortality[MESH]
  • |Cities/epidemiology[MESH]
  • |Comorbidity[MESH]
  • |Dementia/epidemiology[MESH]
  • |Diabetes Mellitus/epidemiology[MESH]
  • |Female[MESH]
  • |Humans[MESH]
  • |Logistic Models[MESH]
  • |Male[MESH]
  • |Middle Aged[MESH]
  • |Pandemics[MESH]
  • |Prognosis[MESH]
  • |Renal Insufficiency, Chronic/epidemiology[MESH]
  • |Respiration, Artificial/*statistics & numerical data[MESH]
  • |Sex Factors[MESH]
  • |Smoking/epidemiology[MESH]


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