Sanjay Mohanty1, Yaoming Liu2, Jennifer L Paruch2, Thomas E Kmiecik3, Mark E Cohen2, Clifford Y Ko4, Karl Y Bilimoria5. 1. Department of Surgery, Henry Ford Hospital, Detroit, Michigan2Division of Research and Optimal Patient Care, American College of Surgeons, Chicago, Illinois. 2. Division of Research and Optimal Patient Care, American College of Surgeons, Chicago, Illinois. 3. Surgical Outcomes and Quality Improvement Center, Department of Surgery, Feinberg School of Medicine, Northwestern University, Chicago, Illinois. 4. Division of Research and Optimal Patient Care, American College of Surgeons, Chicago, Illinois4Department of Surgery, University of California, Los Angeles5VA Greater Los Angeles Healthcare System, Los Angeles, California. 5. Division of Research and Optimal Patient Care, American College of Surgeons, Chicago, Illinois3Surgical Outcomes and Quality Improvement Center, Department of Surgery, Feinberg School of Medicine, Northwestern University, Chicago, Illinois.
Abstract
IMPORTANCE: Individualized risk prediction tools have an important role as decision aids for use by patients and surgeons before surgery. Patient-centered outcomes should be incorporated into such tools to widen their appeal and improve their usability. OBJECTIVE: To develop a patient-centered outcome for the American College of Surgeons National Surgical Quality Improvement Program (ACS NSQIP) Surgical Risk Calculator, a web-based, individualized risk prediction tool. DESIGN, SETTING, AND PARTICIPANTS: Retrospective cohort study using data from the ACS NSQIP, a national clinical data registry. A total of 973 211 patients from July 2010 to June 2012, encompassing 392 hospitals, were used in this analysis. MAIN OUTCOMES AND MEASURES: Risk of discharge to a postacute care setting. RESULTS: The overall rate of discharge to postacute care was 8.8%. Significant predictors of discharge to postacute care included being 85 years or older (odds ratio [OR] = 9.17; 95% CI, 8.84-9.50), the presence of septic shock (OR = 2.43; 95% CI, 2.20-2.69) or ventilator dependence (OR = 2.81; 95% CI, 2.56-3.09) preoperatively, American Society of Anesthesiologists class of 4 or 5 (OR = 3.59; 95% CI, 3.46-3.71), and totally dependent functional status (OR = 2.27; 95% CI, 2.11-2.44). The final model predicted risk of discharge to postacute care with excellent accuracy (C statistic = 0.924) and calibration (Brier score = 0.05). CONCLUSIONS AND RELEVANCE: Individualized risk of discharge to postacute care can be predicted with excellent accuracy. This outcome will be incorporated into the ACS NSQIP Surgical Risk Calculator.
IMPORTANCE: Individualized risk prediction tools have an important role as decision aids for use by patients and surgeons before surgery. Patient-centered outcomes should be incorporated into such tools to widen their appeal and improve their usability. OBJECTIVE: To develop a patient-centered outcome for the American College of Surgeons National Surgical Quality Improvement Program (ACS NSQIP) Surgical Risk Calculator, a web-based, individualized risk prediction tool. DESIGN, SETTING, AND PARTICIPANTS: Retrospective cohort study using data from the ACS NSQIP, a national clinical data registry. A total of 973 211 patients from July 2010 to June 2012, encompassing 392 hospitals, were used in this analysis. MAIN OUTCOMES AND MEASURES: Risk of discharge to a postacute care setting. RESULTS: The overall rate of discharge to postacute care was 8.8%. Significant predictors of discharge to postacute care included being 85 years or older (odds ratio [OR] = 9.17; 95% CI, 8.84-9.50), the presence of septic shock (OR = 2.43; 95% CI, 2.20-2.69) or ventilator dependence (OR = 2.81; 95% CI, 2.56-3.09) preoperatively, American Society of Anesthesiologists class of 4 or 5 (OR = 3.59; 95% CI, 3.46-3.71), and totally dependent functional status (OR = 2.27; 95% CI, 2.11-2.44). The final model predicted risk of discharge to postacute care with excellent accuracy (C statistic = 0.924) and calibration (Brier score = 0.05). CONCLUSIONS AND RELEVANCE: Individualized risk of discharge to postacute care can be predicted with excellent accuracy. This outcome will be incorporated into the ACS NSQIP Surgical Risk Calculator.
Authors: Anne L Donovan; Matthias R Braehler; David L Robinowitz; Ann A Lazar; Emily Finlayson; Stephanie Rogers; Vanja C Douglas; Elizabeth L Whitlock Journal: Anesth Analg Date: 2020-12 Impact factor: 6.627
Authors: Maximilian S Schaefer; Maximilian Hammer; Katharina Platzbecker; Peter Santer; Stephanie D Grabitz; Kadhiresan R Murugappan; Tim Houle; Sheila Barnett; Edward K Rodriguez; Matthias Eikermann Journal: Clin Orthop Relat Res Date: 2021-03-01 Impact factor: 4.755