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Risk Prediction Accuracy Differs for Emergency Versus Elective Cases in the ACS-NSQIP

Joseph A Hyder1, Gally Reznor, Elliot Wakeam

  • 1*Department of Anesthesiology and Division of Respiratory and Critical Care Medicine, Mayo Clinic, Rochester, MN†Kern Center for the Science of Health Care Delivery, Mayo Clinic, Rochester, MN‡Center for Surgery and Public Health, Brigham and Women's Hospital, Boston, MA§Department of Surgery, University of Toronto, Toronto, Ontario, Canada¶Department of Medicine, Brigham and Women's Hospital, Boston, MA||Department of Surgery, Brigham and Women's Hospital, Boston, MA**Harvard Medical School, Boston, MA.

Annals of Surgery
|January 5, 2016
PubMed
Summary

The American College of Surgeons National Surgical Quality Improvement Program (ACS-NSQIP) risk models show different mortality predictions for emergency versus elective surgery patients. These disparities impact surgical outcome benchmarking and shared decision-making.

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