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Journal article
Morbidity and Mortality Risk Assessment in Gynecologic Oncology Surgery Using the American College of Surgeons National Surgical Quality Improvement Program Database
International journal of gynecological cancer, v 28(4), pp 840-847
01 May 2018
PMID: 29664848
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
Introduction Gynecologic oncology patients represent a distinct patient population with a variety of surgical risks. The American College of Surgeons National Surgical Quality Improvement Program (ACS NSQIP) database provides an opportunity to analyze large cohorts of patients over extended periods with high accuracy. Our goal was to develop a postoperative risk assessment calculator capable of providing a standardized, objective means of preoperatively identifying high-risk patients in the gynecologic oncology population.
Methods We queried the ACS NSQIP database for gynecologic oncology patients from 2005 to 2013. Multivariate logistic regression was performed to generate predictive models specific for 30-day postoperative mortality and major morbidity.
Results There were 12,831 patients with a primary gynecologic malignancy identified: 7847 uterine, 3366 adnexal, 1051 cervical, and 567 perineum cancers. In this cohort, 125 (0.97%) patients died, and 784 (6.11%) major morbidity events were recorded within 30 days of their surgery. For 30-day mortality, the mean calculated predictive probability was 0.128 (SD, 0.219) compared with 0.009 (SD, 0.027) in patients alive 30 days postoperatively (P < 0.0001). The mean predictive probability of major morbidity was 0.097 (SD, 0.095) compared with 0.059 (SD, 0.043) in patients who did not experience major morbidity 30 days postoperatively (P < 0.0001).
Conclusions Using NSQIP data, these predictive models will help to determine patients at risk for 30-day mortality and major morbidity. Further clinical validation of these models is required.
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Details
- Title
- Morbidity and Mortality Risk Assessment in Gynecologic Oncology Surgery Using the American College of Surgeons National Surgical Quality Improvement Program Database
- Creators
- Adrian Kohut - Rutgers, The State University of New JerseyTheofano Orfanelli - Mount Sinai HospitalJuan Lucas Poggio - Drexel UniversityDarlene Gibbon - Summit Medical GroupAlexandre Buckley De Meritens - Rutgers, The State University of New JerseyScott Richard - Sidney Kimmel Cancer Center
- Publication Details
- International journal of gynecological cancer, v 28(4), pp 840-847
- Publisher
- Lippincott Williams & Wilkins
- Number of pages
- 8
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Surgery; Obstetrics and Gynecology
- Web of Science ID
- WOS:000431413200026
- Scopus ID
- 2-s2.0-85046536520
- Other Identifier
- 991019167997404721
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InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Collaboration types
- Domestic collaboration
- Web of Science research areas
- Obstetrics & Gynecology
- Oncology