Table 3:

Multivariable logistic regression models for prediction of major complications for each of the routes of hysterectomy*

Patient characteristicLaparoscopic adjusted OR (95% CI)Abdominal adjusted OR (95% CI)
Age, yr (per additional year)0.97 (0.94 to 0.99)0.93 (0.92 to 0.95)
Age, yr21.00 (1.00 to 1.00)1.00 (1.00 to 1.00)
Ethnicity
 WhiteRef.Ref.
 African and Caribbean1.15 (0.79 to 1.65)1.16 (0.99 to 1.37)
 Asian1.24 (0.98 to 1.57)1.40 (1.24 to 1.58)
 Other or unknown1.07 (0.64 to 1.22)0.96 (0.88 to 1.05)
Clinical diagnosis
 Obesity0.90 (0.80 to 1.00)0.99 (0.91 to 1.08)
 Diabetes0.85 (0.69 to 1.06)1.16 (1.03 to 1.30)
Gynecologic diagnosis
 Fibroids1.00 (0.92 to 1.09)0.75 (0.71 to 0.80)
 Menstrual disorders0.75 (0.69 to 0.82)0.52 (0.48 to 0.55)
 Endometriosis or pain0.99 (0.90 to 1.10)0.95 (0.87 to 1.02)
 Adenomyosis1.46 (1.36 to 1.60)1.06 (0.99 to 1.13)
 Benign adnexal mass0.85 (0.77 to 0.94)0.79 (0.74 to 0.84)
 Other0.87 (0.79 to 0.96)0.78 (0.73 to 0.85)
Adhesions1.92 (1.73 to 2.13)2.46 (2.27 to 2.66)
  • Note: CI = confidence interval, OR = odds ratio, Ref. = reference category.

  • * This model does not apply to patients undergoing hysterectomy for malignant indications, as they were excluded from the study.