Data in Brief (Feb 2023)

Opportunistic salpingectomy during robotic sacrocolpopexy: Data to support a widely accepted practice

  • Anna Dukhovich,
  • Marie E. Sullivan,
  • Josette Hartnett,
  • Suzanne J. Rose,
  • Brian J. Hines

Journal volume & issue
Vol. 46
p. 108891

Abstract

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While surgical outcomes of prophylactic salpingectomy as an ovarian cancer risk reducing measure at the time of hysterectomy for benign indications has already been studied, data has traditionally been extrapolated to surgery for prolapse repair. A retrospective chart review was performed from medical records of patients who had undergone a sacrocolpopexy for pelvic organ prolapse. Variables collected included operation duration, length of hospital stay, readmission within 31 days, estimated blood loss (EBL), number and size of incisions, as well as narcotic use during hospitalization. Additional procedures performed at the time of operation including vaginal or laparoscopic hysterectomy, transobturator sling, anterior or posterior colporrhaphy, cystoscopy, and robotic ventral mesh rectopexy were collected as potential confounding variables. In addition, data to allow examination of pathology results of all fallopian tubes was collected to determine the proportion of pre-malignant and malignant pathology results. Statistical analyses were performed using SAS version 8. Two cohorts were created: (1) Patients who underwent adnexal surgery (bilateral salpingectomy or salpingoopherectomy) at time of the sacrocolpopexy and (2) Patients who underwent a sacrocolpopexy without adnexal surgery. Comparisons were performed with chi-square analysis for discrete variables and group t-tests for continuous level data. Narcotics administered during the immediate post-operative period until discharge was collected for each patient and converted to morphine milligram equivalents (MME) via multiplying the administered dose by the CDC established evidence-based conversion factor. Analysis of covariance (ANCOVA) as well as logistic regression was used to control for confounding variables, including the additional procedures patients had during their operation. An omnibus p-value of 0.05 was used to determine statistical significance for all tests. Due to the exploratory nature of this analysis, there were no corrections applied for multiple comparisons. This data can be used as a basis for researchers to build upon when assessing ovarian cancer primary prevention strategies and associated treatment modalities.

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