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Virtual Poster Details

Name
10199 - Predictive Accuracy of the American College of Surgeons Risk Calculator’s in Gynecologic Surgery: A Meta-Analysis
Presenting Author
Erika Polanco
Affiliation
Wayne State University School of Medicine
Abstract
Study Objective: To determine the accuracy of the American College of Surgeons Surgical Risk Calculator (ACS-SRC) across postoperative complications in gynecologic surgery.

Design: Meta-analysis.

Setting: N/A

Patients or Participants: Online databases were searched from inception to March 2023 for gynecological studies reporting on the efficacy of the ACS-SRC.

Interventions: Following PRISMA guidelines, all full-text articles reporting ACS-SRC utilization in gynecology with predicted and actual patient complication rates were included. Studies were individually and collectively assessed for methodological quality. If 3 or more studies reported the same surgical complication outcome a meta-analysis was performed.

Measurements and Main Results: The search identified 53 studies, 5 of which were eligible for inclusion, examining ACS-SRC predictive accuracy in select complications in the following procedures: sacrocolpopexy, colpocleisis, uterosacral ligament suspension, sacrospinous ligament fixation, hysterectomy with bilateral salpingo-oophorectomy, cytoreduction surgery, and staging. Pooled data revealed the ACS-SRC to significantly underpredict serious complications (RD -0.125, 95% CI -0.171 to -0.078, p < 0.001), any complications (RD -0.247, 95% CI –0.308 to -0.187, p < 0.001), surgical site infection (SSI) (RD -0.100, 95% CI –0.121 to -0.080, p < 0.001), and urinary tract infection (UTI) (RD -0.068, 95% CI –0.112 to 0.025, p=0.002).There was no significant difference for discharge to a nursing facility, cardiac, readmission, venous thromboembolism (VTE), renal failure, return to operating room, and death. Prospective and retrospective studies assessed by their respective tools were generally deemed high quality with minimal risk of bias.

Conclusion: The ACS-SRC accurately predicts postoperative cardiac complications, death, VTE, and readmission, however, it underpredicts serious complications, any complication, UTI, and SSI after gynecologic surgery.To better predict these risks, a specialty prediction model may be needed for the gynecologic population.

Authors

Polanco, E*1, Abdallah, Y*1, Goodwin, A1, Hobson, DTG2. 1Wayne State University School of Medicine, Detroit, MI; 2Obstetrics/Gynecology, Wayne State University School of Medicine, Detroit, MI

Primary Category
Research
Secondary Category
Reproductive Medicine
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