title: New equations for predicting postoperative risk in patients with hip fracture.
abstract: Predicting the postoperative course of patients with hip fractures would be helpful for surgical planning and risk management. We therefore established equations to predict the morbidity and mortality rates in candidates for hip fracture surgery using the Estimation of Physiologic Ability and Surgical Stress (E-PASS) risk-scoring system. First we evaluated the correlation between the E-PASS scores and postoperative morbidity and mortality rates in all 722 patients surgically treated for hip fractures during the study period (Group A). Next we established equations to predict morbidity and mortality rates. We then applied these equations to all 633 patients with hip fractures treated at seven other hospitals (Group B) and compared the predicted and actual morbidity and mortality rates to assess the predictive ability of the E-PASS and Physiological and Operative Severity Score for the enUmeration of Mortality and Morbidity (POSSUM) systems. The ratio of actual to predicted morbidity and mortality rates was closer to 1.0 with the E-PASS than the POSSUM system. Our data suggest the E-PASS scoring system is useful for defining postoperative risk and its underlying algorithm accurately predicts morbidity and mortality rates in patients with hip fractures before surgery. This information then can be used to manage their condition and potentially improve treatment outcomes.
  
  
  METHODS
  Level II, prognostic study. See the Guidelines for Authors for a complete description of levels of evidence.
authors.affiliation: Department of Orthopaedic and Neuro-Musculoskeletal Surgery, Faculty of Medical and Pharmaceutical Sciences, Kumamoto University, 1-1-1 Honjo, Kumamoto 860-8556, Japan. hirojun-mk@umin.ac.jp
authors.forename: Jun
authors.initials: J
authors.lastname: Hirose
authors.forename: Junji
authors.initials: J
authors.lastname: Ide
authors.forename: Hiroki
authors.initials: H
authors.lastname: Irie
authors.forename: Kenshi
authors.initials: K
authors.lastname: Kikukawa
authors.forename: Hiroshi
authors.initials: H
authors.lastname: Mizuta
mesh_terms: D000293:Adolescent; D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D000465:Algorithms; D002648:Child; D005260:Female; D005592:Fracture Fixation / Q000009:adverse effects* / Q000401:mortality; D006305:Health Status Indicators; D006620:Hip Fractures / Q000601:surgery*; D006801:Humans; D007564:Japan / Q000453:epidemiology; D008297:Male; D008875:Middle Aged; D008954:Models, Biological; D018579:Patient Selection; D011183:Postoperative Complications / Q000209:etiology* / Q000401:mortality; D011237:Predictive Value of Tests; D012189:Retrospective Studies; D018570:Risk Assessment; D012307:Risk Factors; D016896:Treatment Outcome; D055815:Young Adult