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

Regression model (predictor: state)	Clinical outcome, OR (95% CI)
	pharmacologic circulatory support	mechanical ventilation	hemodialysis	death
Crude logistic	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*	0.93 (0.27, 3.12)	3.88 (1.23, 12.24)	1.96 (0.56, 6.79)	1.48 (0.60, 3.66)

COVID-19, coronavirus disease 2019; OR, odds ratio; CI, confidence interval; Afib, atrial fibrillation; DM, diabetes mellitus.

^†New York was the referent category for all analyses.

^*Model was adjusted for age, BMI, Hispanic ethnicity, race, insurance type, DM, coronary artery disease, Afib, and cancer.