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Research ArticleORIGINAL RESEARCH
Open Access

Retrospective Analysis of Route Selection for Hysterectomy for Benign Indications at Ochsner Baptist Hospital

Emily G. Blosser, George B. Morris and Rajiv B. Gala
Ochsner Journal December 2020, 20 (4) 368-372; DOI: https://doi.org/10.31486/toj.20.0017
Emily G. Blosser
1Department of Obstetrics and Gynecology, Ochsner Clinic Foundation, New Orleans, LA
2The University of Queensland Faculty of Medicine, Ochsner Clinical School, New Orleans, LA
MD, PhD
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George B. Morris IV
1Department of Obstetrics and Gynecology, Ochsner Clinic Foundation, New Orleans, LA
MD
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Rajiv B. Gala
1Department of Obstetrics and Gynecology, Ochsner Clinic Foundation, New Orleans, LA
2The University of Queensland Faculty of Medicine, Ochsner Clinical School, New Orleans, LA
MD, FACOG
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  • For correspondence: rgala@ochsner.org
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Article Figures & Data

Tables

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    Table 1.

    Exclusion Criteria

    Adnexal disease as primary indication for surgeryMinimally invasive hysterectomy converted intraoperatively
    Adnexal torsionMüllerian or uterine anomalies
    Age <18 yearsOvarian, fallopian tube, or primary peritoneal cancer
    Cervical cancer more advanced than stage 1A1Pelvic kidney
    Cesarean hysterectomyPlanned appendectomy, cholecystectomy, or bowel surgery
    Concomitant anti-incontinence proceduresPlanned umbilical hernia repair affecting route choice
    Concomitant pelvic organ prolapse operation other than pure uterineRadical hysterectomy
    Emergent hysterectomyRisk-reducing surgery (ie, BRCA positive)
    Endometrial hyperplasia of increased complexitySupracervical hysterectomy
    History of multiple cone excisions with no available cervical tissueTubo-ovarian abscess
    Laparoscopic hysterectomy or laparoscopy-assisted vaginal hysterectomyUterine cancer or suspicion for sarcoma
    Mesh-related surgery or excision
    • View popup
    Table 2.

    Demographic Characteristics of Patients by Surgical Approach

    Route of Hysterectomy
    VariableAbdominal, n=62Robotic, n=303Vaginal, n=41
    Age, years, mean ± SD44.35 ± 5.8844.7 ± 7.7547 ± 10.36
    Body mass index, kg/m2, mean ± SD34.61 ± 7.3432.46 ± 8.529.86 ± 6.74
    Race/ethnicity
     Black/African American56 (90.3)164 (54.1)16 (39.0)
     Caucasian6 (9.7)130 (42.9)22 (53.7)
     Hispanic, nonwhite–5 (1.7)2 (4.9)
     Asian–4 (1.3)1 (2.4)
    • Note: Data are presented as n (%) unless otherwise indicated.

    • View popup
    Table 3.

    Booked Surgical Approach vs Route Selection With the Algorithm

    Optimal Route Selection by Preoperative AnalysisOptimal Route Selection by Postoperative Analysis
    Booked Surgical ApproachAbdominalLaparoscopicVaginalAbdominalLaparoscopicVaginal
    Abdominal, n=6225 (40.3)30 (48.4)7 (11.3)32 (51.6)27 (43.5)3 (4.8)
    Robotic, n=30319 (6.3)132 (43.6)152 (50.2)3 (1.0)173 (57.1)127 (41.9)
    Vaginal, n=410 (0)7 (17.1)34 (82.9)0 (0)2 (4.9)39 (95.1)
    • Note: Data are presented as n (%).

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Ochsner Journal: 20 (4)
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Vol. 20, Issue 4
Dec 2020
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Retrospective Analysis of Route Selection for Hysterectomy for Benign Indications at Ochsner Baptist Hospital
Emily G. Blosser, George B. Morris, Rajiv B. Gala
Ochsner Journal Dec 2020, 20 (4) 368-372; DOI: 10.31486/toj.20.0017

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Retrospective Analysis of Route Selection for Hysterectomy for Benign Indications at Ochsner Baptist Hospital
Emily G. Blosser, George B. Morris, Rajiv B. Gala
Ochsner Journal Dec 2020, 20 (4) 368-372; DOI: 10.31486/toj.20.0017
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