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. 2023 Jun 15;55(9):2161–2167. doi: 10.1007/s11255-023-03638-6

Table 2.

Bivariate and multivariate analysis of the possible predictors of perforation in patients with non-muscle-invasive bladder cancer (N = 1570)

Parameters Bivariate analysis Multivariate regression
Occurrence of bladder perforation Odds ratio p-value Odds ratio 95% CI p-value
No
N: 1412 (%)
Yes
N: 158 (%)
Gender
 Male 1219 (90) 131 (10) 0.2
 Female 193 (87) 27 (13)
Previous TURBT
 No 1073 (92) 89 (8) 13 0.001 2 1.4– 0.001
 Yes 339 (83) 69 (17) 2.8
Number of previous TURBT
 De novo 1055 (91) 107 (9)
  One recurrence 205 (87) 31 (13)
  Two recurrences 88 (84) 6 (16) 19 0.001 0.08
 Three recurrences 39 (84) 8 (16)
   > Three recurrence 25 (81) 6 (19)
Tumor number
 Single 725 (91) 71 (9) 3.4 0.12 0.06
 Multiple 687 (88) 87 (12)
Tumor size
 Less than 3 cm 735 (89) 85 (11)
 3 cm or more 677 (90) 73 (10) 0.7
Tumor grade
 Grade I 170 (91) 18 (9)
 Grade II 754 (91) 78 (9) 0.6
 Grade III 488 (89) 62 (11)
Tumor stage
 Ta 354 (97) 23 (6)
 T1 956 (90) 127 (11) 7 0.045
 Primary CIS 102 (95) 8 (7)
Tumor site (location)
 Posterior 315 (91) 31 (9) 0.08
 Lateral walls 459 (87) 62 (13)
 Anterior and domal 123 (86) 20 (14)
 Trigone and BN 86 (93) 8 (7)
 Multicentric 429 (92) 37 (8)
Obturator jerk
 No 1404 (90) 149 (10) 30 0.0001 10 3.8– 0.0001
 Yes 8 (47) 9 (53) 27.2

Bold values indicate statistically significant values