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. 2021 Jul 3;10(14):e021046. doi: 10.1161/JAHA.121.021046

Table 3.

Multivariable Binary Logistic Regression Models to Test for the Impact of Age on the Outcomes in Patients With Acute Ischemic Stroke Infected With COVID‐19

Outcome Variables Multivariable Logistic Regression
OR (95 CI%, P Value)
mRS 0–2 Model 1 Age (1 y increase) 0.95 (0.90–0.99, P=0.048)
Hypertension 0.23 (0.04–1.19, P=0.092)
Admission NIHSS score 0.74 (0.61–0.84, P<0.001)
Model 2 Age, y (56–70 vs ≤55) 0.35 (0.05–2.06, P=0.257)
Age, y (>70 vs ≤55) 0.20 (0.03–1.20, P=0.090)
Hypertension 0.23 (0.04–1.16, P=0.086)
Admission NIHSS score 0.76 (0.64–0.85, P<0.001)
Mortality Model 1 Age (1 y increase) 1.06 (1.02–1.10, P=0.007)
Diabetes mellitus 4.38 (1.65–12.29, P=0.004)
Admission NIHSS score 1.09 (1.04–1.16, P=0.001)
Model 2 Age, y (56–70 vs ≤55) 2.26 (0.65–8.44, P=0.208)
Age, y (>70 vs ≤55) 4.76 (1.28–20.15, P=0.025)
Diabetes mellitus 4.14 (1.58–11.42, P=0.005)
Admission NIHSS score 1.09 (1.03–1.15, P=0.002)

All variables that had a P≤0.05 in the univariate model in Table S1 were included with age in the multivariable model. mRS indicates Modified Rankin Scale; NIHSS, National Institutes of Health Stroke Scale; and OR, odds ratio.