Level III, prognostic study. See Guidelines for Authors for a complete description of levels of evidence.

Study Objective Scientifically evaluate the validity and reproducibility of 2 novel surgical triaging systems, as well as offer modifications to the Medically-Necessary, Time-Sensitive (MeNTS) criteria for improved application in gynecologic surgeries. Design Retrospective cohort study. Setting Academic university hospital. Patients Ninety-seven patients with delayed benign gynecologic procedures owing to the coronavirus disease 2019 pandemic. Intervention(s) Surgical prioritization was assessed using 2 novel scoring systems, the Gynecologic Medically-Necessary Time-Sensitive (Gyn-MeNTS) and modified Elective Surgery Acuity Scale (mESAS) systems for all 93 patients included. Measurements and Main Results The interrater reliability and validity of 2 novel surgical prioritization systems (Gyn-MeNTS and mESAS) were assessed. The Gyn-MeNTS scores were calculated by 3 raters and analyzed as continuous variables, with a lower score indicating more urgency/priority. The mESAS score was calculated by 2 raters and analyzed as a 3-level ordinal variable with a higher score indicating more urgency/priority. All 5 raters were blinded to reduce bias. The Gyn-MeNTS interrater reliability was tested using Spearman r and paired t tests were used to detect systematic differences between raters. Weighted κ indicated mESAS reliability. Concurrent validity with mESAS and surgeon self-prioritization (SSP) was examined with Spearman r and logistic regression. Spearman r ’s for all Gyn-MeNTS rater pairs were above 0.80 (0.84 for 1 vs 2; 0.82 for 1 vs 3; and 0.82 for 2 vs 3, all p <.001) indicating strong agreement. The weighted κ for the 2 mESAS raters was 0.57 (95% confidence interval, 0.40–0.73) indicating moderate agreement. When used together, both scores were significantly independently associated with SSP, with strong discrimination (area under the curve, 0.89). Conclusion Interrater reliability is acceptable for both scoring systems, and concurrent validity of each is moderate for predicting SSP, but discrimination improves to a high level when they are used together.

Purpose of review To review current US literature and describe the extent, source, and impact of disparities that exist among Black, Indigenous, and people of color (BIPOC) in surgical route and outcomes for hysterectomy, myomectomy, and endometriosis surgery. Recent findings Despite the nationwide trend toward minimally invasive surgery (MIS), BIPOC women are disproportionally less likely to undergo MIS hysterectomy and myomectomy and have higher rates of perioperative complications. African American women, in particular, receive significantly disparate care. Contemporary literature on the prevalence of endometriosis in BIPOC women is lacking. Further, there is little data on the racial and ethnic differences in endometriosis surgery access and outcomes. Summary Racial and ethnic disparities in access to minimally invasive gynecologic surgery for benign pathology exist and these differences are not fully accounted for by patient, socioeconomic, or healthcare infrastructure factors. Initiatives that incentivize hiring surgeons trained to perform complex gynecologic surgery, standardized pathways for route of surgery, quality improvement focused on increased hospital MIS volume, and hospital-based public reporting of MIS volume data may be of benefit for minimizing disparities. Further, initiatives to reduce disparities need to address racism, implicit bias, and healthcare structural issues that perpetuate disparities.

We sought to identify the variables independently associated with intra/postoperative blood transfusion at the time of myomectomy. We further hoped to develop an accurate prediction model using preoperative variables to categorize an individual's risk of blood transfusion during myomectomy. Design: Case-control study. Setting: Not applicable to this study, which used the American College of Surgeons National Surgical Quality Improvement Program (ACS-NSQIP) database. Patients: Women who underwent an open/abdominal or laparoscopic (robotic or conventional) myomectomy between 2014 and 2017 at participating ACS-NSQIP sites. Intervention: The primary dependent variable was occurrence of intra/postoperative bleeding requiring blood transfusion. Patient demographics, clinical characteristics, preoperative comorbidities, intraoperative variables, and additional 30-day postoperative outcomes were compared at the bivariable level. For the prediction-model development, only variables that can be reasonably known before surgery were included. Variables associated with intra/postoperative bleeding were entered into 2 separate multivariable logistic regression models. Validation of our prediction model was performed internally using 250 bootstrapped iterations of 50% subsamples drawn from the overall population of myomectomy cases from the ACS-NSQIP database. Measurements and Main Results: We identified 6387 myomectomies performed during the defined study period. The most common race in our population was black/African American (45.7%), and most of the patients (57.5%) received an open/abdominal route of myomectomy. A total of 623 patients who underwent myomectomy (9.8%) experienced intraoperative/postoperative bleeding with a need for blood transfusion. At the bivariable level, we identified several variables independently associated with the need for blood transfusion at the time of myomectomy. In using only those variables that can be reasonably known before surgery to develop our prediction model, additional multivariable logistic regression elucidated black race, need for preoperative blood transfusion, planned abdominal/open route of surgery, and preoperative hematocrit value as independently associated with blood transfusion. Conclusion:We identified a number of perioperative variables associated with intraoperative or postoperative bleeding requiring blood transfusion at the time of myomectomy. We subsequently created a model that accurately predicts individual bleeding risk from myomectomy, using variables that are reasonably apparent preoperatively. Making this prediction model clinically available to gynecologic surgeons will serve to improve the care of women undergoing myomectomy. Journal of Minimally Invasive Gynecology (2021) 00, 1−9.

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