Abstract

The primary objective of this study is to identify patient characteristics associated with postoperative complications or readmissions after hysterectomy for a benign indication. Retrospective cohort. The Surgical Gynecologic Scorecard Database includes performance metrics and patient outcomes for hysterectomies across 7 sites in Ontario, Canada. Individuals who underwent hysterectomy for benign gynecologic indication and were recorded in the Surgical Gynecologic Scorecard Database between July 2016 and June 2019 were included in this study. Two outcomes of interest were considered: (1) complications grade II or greater on the Clavien-Dindo classification scale and (2) emergency room visits or hospital readmissions within 6 weeks after operation. Logistic models were generated to determine the associations between outcome of interest and potential predictors using a mixed-step AIC selection algorithm. A total of 2792 patients underwent hysterectomy for a benign indication during the study period, with a mean age of 52.6 ± 11.7 years and mean body mass index of 29.0 ± 0.7 kg/m2. The most common indications for surgery were abnormal uterine bleeding (33.3%) and myomas (33.6%). Previous cesarean delivery (adjusted odds ratio [aOR], 1.22; 95% confidence interval [CI], 1.04-1.42), American Society of Anesthesiologists class ≥3 (aOR, 2.31; 95% CI, 1.42-3.99), preoperative anemia (aOR, 1.51; 95% CI, 1.12-2.02), and laparotomic approach (aOR, 1.73; 95% CI, 1.30-2.29) were associated with increased odds of complication. Perioperative complications (aOR, 2.95; 95% CI, 2.12-4.08), preoperative anemia (aOR, 1.43; 95% CI, 1.03-1.98), and vaginal (aOR, 1.94; 95% CI, 1.26-2.96) or laparotomic (aOR, 1.64; 95% CI, 1.10-2.43) approach were associated with increased odds of emergency room visit or readmission to hospital. This study identified several important risk factors for complications after hysterectomy. The utility of these data is important to help improve counseling for patients undergoing a hysterectomy and potentially optimize modifiable risk factors when identified preoperatively.

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