Logistic regression analysis of urinary complications and predictors using propensity score.

Table 5: Logistic regression analysis of urinary complications and predictors using propensity score.

Parameter	Estimate	Odds ratio (95% CI)	P value
Treatment Conservative management	-0.1941	0.824 (0.769, 0.882)	< 0.0001
Race Black Others	-0.2512 -0.0082	0.778 (0.690, 0.878) 0.992 (0.857, 1.148)	< 0.0001 0.9126
Marital status Single	0.3679	1.445 (1.270, 1.644)	< 0.0001
Age 66-69 70-74 75-79	-0.5685 -0.3062 -0.1647	0.566 (0.492, 0.652) 0.736 (0.638, 0.850) 0.848 (0.729, 0.987)	< 0.0001 < 0.0001 0.0333
Grade Well-differentiated	-0.3074	0.735 (0.596, 0.908)	0.0042
Comorbidity Null One	-0.5763 -0.2433	0.562 (0.505, 0.625) 0.784 (0.696, 0.883)	< 0.0001 < 0.0001

Note: Model was found to be statistically significant. Result of likelihood ratio test: χ² value - 404.668 and P value < 0.0001. CI indicates Confidence Interval. Base case includes patients who were in immediate treatment group, with race white, married, aged 80 or above, with moderately differentiated tumors and with greater than 1 comorbidities.