Variables | (1) | (2) |
|---|
Dialysis | Dialysis |
|---|
Age | 0.00547 | 0.00662 |
| | (0.00741) | (0.0110) |
Female | 0.296** | 0.237* |
| | (0.116) | (0.131) |
ECC time | 0.000337 | 0.000236 |
| | (0.000904) | (0.00105) |
Cross clamp time | 0.000801 | 0.000659 |
| | (0.00155) | (0.00165) |
Kidney failure | | 0.0968 |
| | | (0.181) |
Diagnosis A | | − 0.0754 |
| | | (0.154) |
Comorbid diabetes | | − 0.143 |
| | | (0.169) |
Reoperation | | 0.235* |
| | | (0.123) |
Constant | − 0.577 | − 0.662 |
| | (0.548) | (0.632) |
Observations | 34 | 34 |
R-squared | 0.232 | 0.343 |
- Standard errors in parentheses
- ***p < 0.01, **p < 0.05, *p < 0.1
- Each column represents a single multiple regression model with dialysis 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
