Evaluating Postoperative Morbidity in Patients Undergoing Pelvic Reconstructive Surgery Using the American College of Surgeons National Surgical Quality Improvement Program Surgical Risk Calculator.

摘要: OBJECTIVE The aim of this study was to evaluate the ability American College Surgeons National Surgical Quality Improvement Program (ACS NSQIP) surgical risk calculator predict morbidity in patients undergoing pelvic reconstructive surgery. METHODS This a retrospective who underwent surgery from 2014 2017. Preoperative factors were abstracted medical records and entered into ACS NSQIP calculator. Current Procedural Terminology code that produced largest used compared with actual patient outcomes. Demographic, clinical, characteristics analyzed descriptively. Logistic regression evaluated significant associated each outcome; prediction capability assessed. RESULTS Seven hundred thirty-one cases reviewed. cohort predominantly younger than 65 years (58.7%), white (77.4%), multiparous (81.1%), overweight (64.7%); 76.3% Society Anesthesiologists class 2, 70.2% had vaginal There no difference median scores between those without postoperative event. Two twenty-one (30.3%) experienced "any serious complication," 89% these due urinary tract infection. Incidence infection 27%; readmission 3.2%, 3.6% returned operating room. Decreasing age predictive return room (P < 0.001), increasingly worse functional status predicted discharge nursing or skilled rehabilitation facility 0.001). CONCLUSIONS is an overall poor predictor outcomes sample surgery, perhaps because low prevalence events. A more accurate needed for population.