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. 2020 Dec 18;12(12):809–815. doi: 10.14740/jocmr4382

Table 4. Logistic Regression Analysis Between the COVID-19 and Control Populations and Within the COVID-19 Population, Taking Into Account ABO/Rh Factor and Potential Confounding Variable on the Odds of Distribution of Infection With Respect to Potential Confounders (Sex, Age); as Well as Mortality (Sex, Age, BMI, HbA1c) Within the COVID-19 Population.

COVID-19 infection
Mortality (deceased on discharge)
Odds 95% Confidence interval P value Odds 95% Confidence interval P value
ABO factor
  A 1 1.00
  AB 0.476 0.256 0.883 0.019* 0.614 0.173 2.181 0.45
  B 0.582 0.394 0.860 0.007* 0.942 0.504 1.762 0.852
  O 0.882 0.652 1.194 0.417 1.068 0.672 1.697 0.779
Rhesus factor
  Negative 1
  Positive 1.182 0.680 2.055 0.59 0.448 0.185 1.067 0.070
Sex
  Female 1
  Male 1.850 1.446 2.367 < 0.001* 1.64 1.07 2.49 0.022*
Age 1.008 1.002 1.015 0.014* 1.05 1.037 1.067 < 0.001*
BMI 1.05 1.021 1.088 0.001*
HbA1c 1.16 1.061 1.261 0.001*

*Denotes statistical significance. COVID-19: Coronavirus disease 2019; BMI: body mass index; HbA1c: hemoglobin A1c.