151. Assessment of ACS NSQIP’s Predictive Ability for Adverse Events After Major Cancer Surgery
- Author
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Daniel Borja-Cacho, Elizabeth B. Habermann, Helen Parsons, David A. Rothenberger, William G. Henderson, and Waddah B. Al-Refaie
- Subjects
Adult ,Male ,medicine.medical_specialty ,Adolescent ,Disease ,Logistic regression ,Risk Assessment ,Young Adult ,Postoperative Complications ,Risk Factors ,Humans ,Medicine ,Young adult ,Adverse effect ,Survival rate ,Aged ,Aged, 80 and over ,business.industry ,Mortality rate ,Length of Stay ,Middle Aged ,Thoracic Neoplasms ,Surgery ,Survival Rate ,Treatment Outcome ,Oncology ,Abdominal Neoplasms ,Emergency medicine ,Female ,Risk assessment ,business ,Complication - Abstract
The American College of Surgeons National Surgery Quality Improvement Program (ACS NSQIP) has improved operative outcomes in the USA. However, its applicability to oncologic resections at ACS NSQIP hospitals has not been fully explored. We assessed the ability of factors currently collected by ACS NSQIP to predict adverse operative events after major cancer surgery. Using pre- and intraoperative factors gathered by the 2005–2008 ACS NSQIP, we constructed logistic regression models to determine their ability to predict 30-day mortality, prolonged length of stay (LOS), major complications or increased number of complications in 15,709 patients who underwent major cancer surgery at 211 hospitals. We assessed each model’s predictive ability using the c-index. While the mortality rate was relatively low (2.5%), nearly 24% of patients experienced major adverse events. However, up to 43% of patients with prolonged LOS did not have any major complication captured by NSQIP. Furthermore, our model predicting complications showed poor overall predictive ability compared with those predicting mortality and LOS (c-index
- Published
- 2010