Patient and Surgery Characteristics of Inpatient Hysterectomies Among Transgender Individuals.

Purpose: The purpose of this study is to estimate population-based rates of inpatient hysterectomy and accompanying bilateral salpingo-oophorectomy by indication and evaluate surgical patient characteristics by indication, year, patient age, and hospital location. Methods: We used 2016 and 2017 cross-sectional data from the Nationwide Inpatient Sample to estimate the hysterectomy rate for individuals aged 18-54 years with a primary indication for gender-affirming care (GAC) compared to other indications. Outcome measures were population-based rates for inpatient hysterectomy and bilateral salpingo-oophorectomy by indication. Results: The population-based rate of inpatient hysterectomy for GAC per 100,000 was 0.05 (95% confidence interval [CI] = 0.02-0.09) in 2016 and 0.09 (95% CI = 0.03-0.15) in 2017. For comparison, the rates per 100,000 for fibroids were 85.76 in 2016 and 73.25 in 2017. Rates of bilateral salpingo-oophorectomy in the setting of hysterectomy were higher in the GAC group (86.4%) than in comparison groups (22.7%-44.1% for all other benign indications, 77.4% for cancer) across all age ranges. A higher rate of hysterectomies performed for GAC was done laparoscopically or robotically (63.6%) than other indications, and none was done vaginally, as opposed to comparison groups (0.7%-9.8%). Conclusion: The population-based rate for GAC was higher in 2017 compared to 2016 and low compared to other hysterectomy indications. Rates of concomitant bilateral salpingo-oophorectomy were more prevalent for GAC than for other indications at similar ages. The patients in the GAC group tended to be younger, insured, and most procedures occurred in the Northeast (45.5%) and West (36.4%).

Duke Scholars

Author Evan Robert Myers Obstetrics and Gynecology, Women's Community & Population He ...

Author Whitney R Robinson Obstetrics and Gynecology, Women's Community & Population He ...

Author Jeremy Weber  

Author Alaattin Erkanli Biostatistics & Bioinformatics, Division of Biostatistics

Author Beverly Allen Gray Obstetrics and Gynecology, Women's Community & Population He ...