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. Author manuscript; available in PMC: 2021 Jul 8.
Published in final edited form as: Cardiology. 2021 Apr 26;146(4):481–488. doi: 10.1159/000515064

Table 3:

Multivariable logistic regression analysis evaluating differences in clinical outcomes of COVID-19 patients admitted to Texas and New York State hospitals after adjusting for differences in demographics and underlying cardiovascular comorbidities

Clinical Outcome
Regression model (predictor: state) Pharm. Circ. Support Mechanical
Ventilation
Hemodialysis Death
Crude logistic, OR (95% CI) 1.79 (1.09, 2.94) 3.20 (1.96, 5.21) 2.58 (1.24, 5.37) 0.84 (0.56, 1.35)
Multivariable logistic, OR (95% CI) * 0.93 (0.27, 3.12) 3.88 (1.23, 12.24) 1.96 (0.56, 6.79) 1.48 (0.60, 3.66)

New York was the referent category for all analyses

OR = odds ratio; CI = confidence interval

*

Model was adjusted for age, bmi, Hispanic ethnicity, race, insurance type, diabetes mellitus, coronary artery disease, atrial fibrilliation, and cancer.