Role of pelvimetry in predicting surgical outcomes and morbidity in rectal cancer surgery: A retrospective analysis

Table 7 Risk factors affecting perioperative surgical morbidity, regression analysis

	Univariate logistic regression model		Multivariate logistic regression model
	OR (95%CI)	P value	OR (95%CI)	P value
Age (years)	1.07 (1.02-1.12)	0.005
Gender (male)	3.90 (1.18-12.90)	0.026
BMI	1.05 (0.94-1.16)	0.402
Tumor localization (upper rectum)		0.592
Middle rectum	0.50 (0.13-1.92)	0.313
Lower rectum	0.75 (0.27-2.10)	0.583
ASA score	1.15 (0.48-2.76)	0.747
Operation type (open low anterior)		0.375
Laparoscopic low anterior	0.59 (0.23-1.56)	0.289
Miles	0.28 (0.03-2.65)	0.267
Operation duration	1 (0.99-1.01)	0.637
Blood loss (cc)	1 (0.99-1.02)	0.325
Tumor stage (0)		0.993
1	1.33 (0.14-12.82)	0.803
2A	1.23 (0.24-6.36)	0.804
2B	1.09 (0.20-6.01)	0.920
3A	0	0.999
3B	1.11 (0.19-6.49)	0.907
3C	0.57 (0.07-4.64)	0.601
Tumor size	1.10 (0.91-1.33)	0.311
Pelvic inlet area-CT (mm2)	1 (1-1)	0.913
Amount of dissected lymph node	0.970 (0.91-1.03)	0.348
PCI	0.71 (0.52-1.01)	0.056

For the gender variable, the 'female' category; for tumor localization, the 'upper rectum' category; for the type of operation, the 'open low anterior' category; for tumor stage, the 'stage 0' category; for fecal diversion, the 'present' category; for readmission, the 'absent' category; and for pelvic infection, the 'present' category were considered as the reference categories. ASA: American Society of Anesthesiologists; CT: Computed tomography; BMI: Body mass index; PCI: Pelvic cavity index.