Variables | (1) | (2) |
|---|
Overall mort | Overall mort |
|---|
Age | − 0.00747 | 0.00677 |
| | (0.0171) | (0.0107) |
Female | 0.111 | 0.00665 |
| | (0.203) | (0.174) |
Diagnosis A | 0.00530 | − 0.0538 |
| | (0.229) | (0.195) |
Kidney failure | 0.298 | |
| | (0.292) | |
Comorbid diabetes | − 0.0667 | |
| | (0.267) | |
Smoking | 0.370* | |
| | (0.181) | |
Heart failure | − 0.00114 | |
| | (0.0827) | |
BMI | 0.00124 | |
| | (0.0263) | |
ECC time | | 9.59e−05 |
| | | (0.00124) |
Cross clamp time | | 0.00238 |
| | | (0.00197) |
Reoperation | | 0.435** |
| | | (0.164) |
Dialysis | | 0.513** |
| | | (0.249) |
Constant | 0.290 | − 0.654 |
| | (1.029) | (0.732) |
Observations | 34 | 34 |
R-squared | 0.224 | 0.477 |
- Standard errors in parentheses
- ***p < 0.01, **p < 0.05, *p < 0.1
- Each column represents a single multiple regression model with overall mortality as the outcome and the variable listed in each row as a covariate. For binary covariates, yes = 1 and no = 0, meaning that if the variable is present, the resulting coefficient is the absolute increase in risk, expressed as a fraction. For non-binary covariates, the resulting coefficient is the absolute increase in risk, expressed as a fraction, per one unit increase. Non-binary values are measured as follows; age (years), BMI (kg/m2), ECC and cross clamping time (minutes). Diagnosis A: aneurysm
