Table 3.
Linear regression model (modified ischemic injury scale) ~ age of death + RHI vs non-RHI control
| RHI-AF vs. non-RHI control (n = 153) | RHI-CCS vs. non-RHI control (n = 96) | |||||||
|---|---|---|---|---|---|---|---|---|
| Model 1 | R2 = 0.270, F (1, 151) = 54.5, p < .001 | R2 = 0.440, F (1, 94) = 73.4, p < .001 | ||||||
| Model 2 | R2 = 0.290, F (2, 150) = 30.1, p < .001 | R2 = 0.460, F (2, 93) = 39.4, p < .001 | ||||||
| Variable | Unstandardized Beta | SE | p value | 95% CI | Unstandardized Beta | SE | p value | 95% CI |
| Age of death | 0.14 | 0.02 | < .001 | 0.11–0.18 | 0.20 | 0.02 | < .001 | 0.16–0.25 |
| RHI vs non-RHI control | 0.87 | 0.41 | .04 | 0.06–1.68 | 0.88 | 0.47 | 0.06 | 0.05–1.80 |
Linear regression model with RHI (RHI-AF or RHI-CCS) versus non-RHI control as the predictor and mIIS as the continuous outcome, controlling for age of death. Model 1 denotes age of death as the only predictor in the model. Model 2 includes both age of death and RHI vs non-RHI controls as predictors.
SE = standard error, CI = confidence interval