» Articles » PMID: 32556848

Evaluation of the ACS NSQIP Surgical Risk Calculator in Patients Undergoing Pelvic Organ Prolapse Surgery

Overview
Publisher Springer
Date 2020 Jun 20
PMID 32556848
Citations 1
Authors
Affiliations
Soon will be listed here.
Abstract

Introduction And Hypothesis: The purpose of this study was to evaluate the accuracy of the American College of Surgeons National Surgery Quality Improvement Program (ACS NSQIP) surgical risk calculator in predicting postoperative complications in patients undergoing pelvic organ prolapse surgery.

Methods: We performed a retrospective review of 354 patients who underwent surgery for pelvic organ prolapse from 2013 to 2017 at a single academic institution. Patient medical information and surgical procedure were entered into the calculator to obtain predicted complication rates, which were compared with observed complications. Logistic regression, C-statistic, and Brier score were used to assess the accuracy of the calculator.

Results: Of 354 patients included in the analysis, 79.7% were under the age of 75, and 41.5% were classified as American Society of Anesthesiologists class ≥3. The majority of patients underwent robotic sacrocolpopexy (40.7%) or uterosacral ligament suspension (36.4%), followed by colpocleisis, abdominal sacrocolpopexy, and extraperitoneal suspension. Complications were experienced by 100 patients (28.3%). Most common complications were urinary tract infection (n = 57), surgical site infection (n = 42), and readmission (n = 16); other complications were rare. The surgical risk calculator displayed poor predictive ability for experiencing a complication (C-statistic = 0.547, Brier score = 0.25).

Conclusions: The NSQIP surgical risk calculator displayed poor predictive ability in our cohort of patients undergoing surgery for pelvic organ prolapse, suggesting that this tool might have limited clinical applicability to individual patients in this population.

Citing Articles

A meta-analysis of the American college of surgeons risk calculator's predictive accuracy among different surgical sub-specialties.

Goodwin A, Kurapaty S, Inglis J, Divi S, Patel A, Hsu W Surg Pract Sci. 2025; 16():100238.

PMID: 39845345 PMC: 11749946. DOI: 10.1016/j.sipas.2024.100238.


Development and Validation of a Model for Predicting Surgical Site Infection After Pelvic Organ Prolapse Surgery.

Sheyn D, Gregory W, Osazuwa-Peters O, Jelovsek J Urogynecology (Phila). 2022; 28(10):658-666.

PMID: 35830590 PMC: 9590370. DOI: 10.1097/SPV.0000000000001222.

References
1.
Roberts K, Sheyn D, Bretschneider C, Mahajan S, Mangel J . Perioperative Complication Rates After Colpopexy in African American and Hispanic Women. Female Pelvic Med Reconstr Surg. 2018; 26(10):597-602. DOI: 10.1097/SPV.0000000000000633. View

2.
Bilimoria K, Liu Y, Paruch J, Zhou L, Kmiecik T, Ko C . Development and evaluation of the universal ACS NSQIP surgical risk calculator: a decision aid and informed consent tool for patients and surgeons. J Am Coll Surg. 2013; 217(5):833-42.e1-3. PMC: 3805776. DOI: 10.1016/j.jamcollsurg.2013.07.385. View

3.
Vosler P, Orsini M, Enepekides D, Higgins K . Predicting complications of major head and neck oncological surgery: an evaluation of the ACS NSQIP surgical risk calculator. J Otolaryngol Head Neck Surg. 2018; 47(1):21. PMC: 5863849. DOI: 10.1186/s40463-018-0269-8. View

4.
Rivard C, Nahum R, Slagle E, Duininck M, Vogel R, Teoh D . Evaluation of the performance of the ACS NSQIP surgical risk calculator in gynecologic oncology patients undergoing laparotomy. Gynecol Oncol. 2016; 141(2):281-286. PMC: 5179222. DOI: 10.1016/j.ygyno.2016.02.015. View

5.
Wingert N, Gotoff J, Parrilla E, Gotoff R, Hou L, Ghanem E . The ACS NSQIP Risk Calculator Is a Fair Predictor of Acute Periprosthetic Joint Infection. Clin Orthop Relat Res. 2016; 474(7):1643-8. PMC: 4887356. DOI: 10.1007/s11999-016-4717-3. View