Table 3.
Characteristic | Any complicationsa |
Multiple complicationsb |
||
---|---|---|---|---|
regression coefficient (95%CI) | P-value | Odds ratio (95%CI) | P-value | |
Unadjusted | −0.016 (−0.028 to −0.003) | 0.014 | 0.91 (0.84 to 0.98) | 0.019 |
Adjusted for age | −0.017 (−0.029 to −0.004) | 0.007 | 0.90 (0.83 to 0.98) | 0.017 |
Adjusted for CCI | −0.023 (−0.035 to −0.011) | <0.001 | 0.87 (0.80 to 0.95) | 0.001 |
Adjusted for age and CCI | −0.023 (−0.034 to −0.011) | <0.001 | 0.89 (0.82 to 0.97) | 0.006 |
Abbreviations: CI, confidence interval; and CCI, Charlson Comorbidity Index.
Linear regression models: the extent of perioperative complication was analyzed as a continuous variable. Intercept with regression coefficient value for perioperative complications per each increment increase of annualized hospital surgical volume for MIS is estimated.
Binary logistic regression models: outcome measures were dichotomized as ≥2 complications versus <2 complications. Odds ratio for multiple complications per each increment increase of annualized hospital surgical volume for MIS is estimated. Adjustment factors were a priori known factors for perioperative complications. Both age and CCI were examined as continuous variables.