bims-covirf Biomed News
on COVID19 risk factors
Issue of 2021‒01‒03
five papers selected by
Catherine Rycroft

  1. Int J Clin Pract. 2020 Dec 07. e13916
      OBJECTIVE: We intend to identify some probable risk factors that are responsible for the severity of COVID-19 using a meta-analysis.METHODS: The literature exploration lasted up to 18 April 2020 and through PubMed, Google Scholar, EMBASE and Cochrane Library we have identified 10 pertinent publications. To paraphrase the outcomes of autonomous researches, we have performed a random-effect meta-analysis.
    RESULTS: A total of 2272 patients' information was extracted from the selected literature. We have found gender (male) (Risk ratio [RR] = 1.29, 95% Confidence Interval [CI] 1.07 to 1.54), hypertension (RR = 1.79, 95% CI 1.57 to 2.04), diabetes (RR = 1.57, 95% CI 1.25 to 1.98), fatigue or myalgia (RR = 1.17, 95% CI 1.02 to 1.35), and smoking history (RR = 1.71, 95% CI 1.25 to 2.35) are potential risk factors for the severity of COVID-19. We found fever (RR = 1.21, 95% CI 0.66 to 2.22), cough (1.13, 95% CI 0.98 to 1.30) and diarrhoea (RR = 1.14, 95% CI 0.93 to 1.40) as insignificant risk factors for COVID-19 severity.
    CONCLUSIONS: The findings of this research may be beneficial to identify patients with higher risks to provide additional medical attention from the very beginning of the treatment.
  2. medRxiv. 2020 Dec 16. pii: 2020.12.15.20248214. [Epub ahead of print]
      Background: We present data on risk factors for severe outcomes among patients with coronavirus disease 2019 (COVID-19) in the southeast United States (U.S.). Objective: To determine risk factors associated with hospitalization, intensive care unit (ICU) admission, and mortality among patients with confirmed COVID-19. Design: A retrospective cohort study. Setting: Fulton County in Atlanta Metropolitan Area, Georgia, U.S. Patients: Community-based individuals of all ages that tested positive for SARS-CoV-2. Measurements: Demographic characteristics, comorbid conditions, hospitalization, ICU admission, death (all-cause mortality), and severe COVID-19 disease, defined as a composite measure of hospitalization and death. Results: Between March 2 and May 31, 2020, we included 4322 individuals with various COVID-19 outcomes. In a multivariable logistic regression random-effects model, patients in age groups ≥45 years compared to those <25 years were associated with severe COVID-19. Males compared to females (adjusted odds ratio [aOR] 1.4, 95% confidence interval [CI]: 1.1-1.6), non-Hispanic blacks (aOR 1.9, 95%CI: 1.5-2.4) and Hispanics (aOR 1.7, 95%CI: 1.2-2.5) compared to non-Hispanic whites were associated with increased odds of severe COVID-19. Those with chronic renal disease (aOR 3.6, 95%CI: 2.2-5.8), neurologic disease (aOR 2.8, 95%CI: 1.8-4.3), diabetes (aOR 2.0, 95%CI: 1.5-2.7), chronic lung disease (aOR 1.7, 95%CI: 1.2-2.3), and ″other chronic diseases″ (aOR 1.8, 95%CI: 1.3-2.6) compared to those without these conditions were associated with increased odds of having severe COVID-19. Conclusions: Multiple risk factors for hospitalization, ICU admission, and death were observed in this cohort from an urban setting in the southeast U.S. Improved screening and early, intensive treatment for persons with identified risk factors is urgently needed to reduce COVID-19 related morbidity and mortality.
  3. Br J Anaesth. 2020 Dec 05. pii: S0007-0912(20)30962-4. [Epub ahead of print]
    Keywords:  COVID-19; critical care; frailty; frailty assessment tool; mortality; outcome
  4. Arch Med Res. 2020 Dec 16. pii: S0188-4409(20)32243-8. [Epub ahead of print]
      BACKGROUND: Mexico has reported high death and case fatality rates due to COVID-19. Several comorbidities have been related to mortality in COVID-19, as hypertension, diabetes, coronary heart disease, chronic obstructive lung disease and chronic kidney disease.AIMS: To describe the main clinical characteristics of COVID-19 in the major social security institution in Mexico, as well as the contribution of chronic comorbidities and the population attributable fraction related to them.
    METHODS: Data for all patients with a positive test for SARS-CoV-2 in the institutional database was included for analysis. Demographic information, the presence of pneumonia and whether the patient was hospitalized or treated at home as an outpatient as well as comorbidities were analyzed. Case fatality rate was estimated for different groups. Odds ratios with 95% confidence intervals from a logistic regression model were estimated, as well as the population attributable fraction.
    RESULTS: By November 13, 2020, 323,671 subjects with COVID-19 infection have been identified. Case fatality rate is higher in males (20.2%), than in females (13.0%), and increases with age. Case fatality rate increased with the presence of obesity, hypertension and/or diabetes. Age and sex were major independent risk factors for mortality, as well as the presence of pneumonia, diabetes, hypertension, obesity, immunosuppression, and end-stage kidney disease. The population attributable fraction due to obesity in outpatients was 16.8%.
    CONCLUSIONS: Major cardiovascular risk factors and other comorbidities increase the risk of dying in patients with COVID-19. Identification of populations with high fatality in COVID-19, provides insight to deal with this pandemic by health services in Mexico.
    Keywords:  COVID-19; Diabetes mellitus type 2; Fatality; Hypertension; Obesity; Risk factors
  5. J Clin Hypertens (Greenwich). 2020 Dec 23.
    Keywords:  COVID-19; diabetes; hypertension; mortality