Browsing by Author "Davidson, Brittany"

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    ItemOpen Access
    Development and Validation of a Model for Opioid Prescribing Following Gynecological Surgery.
    (JAMA network open, 2022-07) Rodriguez, Isabel V; Cisa, Paige McKeithan; Monuszko, Karen; Salinaro, Julia; Habib, Ashraf S; Jelovsek, J Eric; Havrilesky, Laura J; Davidson, Brittany

    Importance

    Overprescription of opioid medications following surgery is well documented. Current prescribing models have been proposed in narrow patient populations, which limits their generalizability.

    Objective

    To develop and validate a model for predicting outpatient opioid use following a range of gynecological surgical procedures.

    Design, setting, and participants

    In this prognostic study, statistical models were explored using data from a training cohort of participants undergoing gynecological surgery for benign and malignant indications enrolled prospectively at a single institution's academic gynecologic oncology practice from February 2018 to March 2019 (cohort 1) and considering 39 candidate predictors of opioid use. Final models were internally validated using a separate testing cohort enrolled from May 2019 to February 2020 (cohort 2). The best final model was updated by combining cohorts, and an online calculator was created. Data analysis was performed from March to May 2020.

    Exposures

    Participants completed a preoperative survey and weekly postoperative assessments (up to 6 weeks) following gynecological surgery. Pain management was at the discretion of clinical practitioners.

    Main outcomes and measures

    The response variable used in model development was number of pills used postoperatively, and the primary outcome was model performance using ordinal concordance and Brier score.

    Results

    Data from 382 female adult participants (mean age, 56 years; range, 18-87 years) undergoing gynecological surgery (minimally invasive procedures, 158 patients [73%] in cohort 1 and 118 patients [71%] in cohort 2; open surgical procedures, 58 patients [27%] in cohort 1 and 48 patients [29%] in cohort 2) were included in model development. One hundred forty-seven patients (38%) used 0 pills after hospital discharge, and the mean (SD) number of pills used was 7 (10) (median [IQR], 3 [0-10] pills). The model used 7 predictors: age, educational attainment, smoking history, anticipated pain medication use, anxiety regarding surgery, operative time, and preoperative pregabalin administration. The ordinal concordance was 0.65 (95% CI, 0.62-0.68) for predicting 5 or more pills (Brier score, 0.22), 0.65 (95% CI, 0.62-0.68) for predicting 10 or more pills (Brier score, 0.18), and 0.65 (95% CI, 0.62-0.68) for predicting 15 or more pills (Brier score, 0.14).

    Conclusions and relevance

    This model provides individualized estimates of outpatient opioid use following a range of gynecological surgical procedures for benign and malignant indications with all model inputs available at the time of procedure closing. Implementation of this model into the clinical setting is currently ongoing, with plans for additional validation in other surgical populations.
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    ItemOpen Access
    Disparities in the surgical staging of high-grade endometrial cancer in the United States.
    (Gynecol Oncol Res Pract, 2017) Foote, Jonathan R; Gaillard, Stephanie; Broadwater, Gloria; Sosa, Julie A; Davidson, Brittany; Adam, Mohamed A; Secord, Angeles Alvarez; Jones, Monica B; Chino, Junzo; Havrilesky, Laura J
    BACKGROUND: The National Comprehensive Cancer Network (NCCN) and the Society of Gynecologic Oncology (SGO) recommend lymph node sampling (LNS) as a key component in the surgical staging of high-grade endometrial cancer. Our goal was to examine surgical staging patterns for high-grade endometrial cancer in the United States. METHODS: The National Cancer Data Base (NCDB) was searched for patients who underwent surgery for serous, clear cell, or grade 3 endometrioid endometrial cancer. Outcomes were receipt of LNS and overall survival (OS). Multivariate logistic regression was used to examine receipt of LNS in Stage I-III disease based on race (White vs. Black), income, surgical volume, and distance traveled to care. Multivariate Cox proportional hazards regression modeling was used to assess OS based on stage, race, income, LNS, surgical volume, and distance traveled. RESULTS: Forty-two thousand nine hundred seventy-three patients were identified: 76% White, 53% insured by Medicare/Medicaid, 24% traveled >30 miles, and 33% stage III disease. LNS was similar among White and Black women (81% vs 82%). LNS was more common among >30 miles traveled (84% vs 81%, p < 0.001), higher surgical volume (83% vs 80%, p < 0.001), and academic centers (84% vs 80%, p < 0.001). In multivariate analysis, higher income, higher surgical volume, Charlson-Deyo score, and distance traveled were predictors of LNS. Stage III disease (HR 3.39, 95% CI 3.28-3.50), age (10-year increase; HR 1.63, 95% CI 1.61-1.66), lack of LNS (HR 1.64, 95% CI 1.56-1.69), and low income (HR 1.20, 95% CI 1.14-1.27) were predictors of lower survival. CONCLUSIONS: Surgical care for high-grade endometrial cancer in the United States is not uniform. Improved access to high quality care at high volume centers is needed to improve rates of recommended LNS.