Variables | (1) | (2) |
|---|
In. hosp. mort | In. hosp. mort |
|---|
Age | 0.00572 | 0.0151 |
| | (0.0130) | (0.00925) |
Female | 0.186 | 0.0634 |
| | (0.155) | (0.151) |
Diagnosis A | − 0.141 | − 0.147 |
| | (0.174) | (0.168) |
Kidney failure | 0.240 | |
| | (0.222) | |
Comorbid diabetes | 0.0212 | |
| | (0.203) | |
Smoking | 0.219 | |
| | (0.138) | |
Heart failure | − 0.0467 | |
| | (0.0629) | |
BMI | 0.0257 | |
| | (0.0200) | |
ECC time | | 0.000624 |
| | | (0.00108) |
Cross clamp time | | 0.000780 |
| | | (0.00171) |
Reoperation | | 0.0815 |
| | | (0.142) |
Dialysis | | 0.519** |
| | | (0.216) |
Constant | − 1.110 | − 1.134* |
| | (0.784) | (0.633) |
Observations | 34 | 34 |
R-squared | 0.322 | 0.410 |
- Standard errors in parentheses
- ***p < 0.01, **p < 0.05, *p < 0.1
- Each column represents a single multiple regression model with in-hospital 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
