title: Factors affecting recovery after arthroscopic labral debridement of the hip.
abstract: OBJECTIVE
  The purpose of this study was to develop and validate a model predicting whether patients would have shorter-than-typical or longer-than-typical recoveries after hip arthroscopy for labral tears.
  
  
  METHODS
  We retrospectively reviewed 268 cases of hip arthroscopy implemented between 2000 and 2007 by 2 orthopaedic surgeons at our institution. The development cohort consisted of patients with magnetic resonance angiography-identified labral tears and a history and physical examination consistent with either labral pathology or loose bodies. Univariate analysis targeted preoperative patient characteristics correlated with the risk of longer-than-typical recoveries. Multivariate logistic regression was applied to generate an algorithm predicting risk of longer-than-typical recovery based on baseline characteristics. The algorithm was tested in the validation sample of 52 patients who were treated in 2007 and was found to be valid.
  
  
  RESULTS
  Five predictors for longer-than-typical recovery were identified: Workers' Compensation status, female gender, use of pain medications, presence of a limp, and presence of a lateral labral tear. The multivariate algorithm was developed and successfully validated.
  
  
  CONCLUSIONS
  This study identifies many new predictors of recovery, and it also corroborates those that have already been identified. The 5 predictors for longer-than-typical recovery identified by our validated multivariate algorithm were Workers' Compensation status, female gender, use of pain medications, presence of a limp, and presence of a lateral labral tear.
  
  
  METHODS
  Level IV, therapeutic case series.
authors.affiliation: Department of Orthopaedic Surgery, Cleveland Clinic, Cleveland, Ohio 44195, USA.
authors.forename: Ho H
authors.initials: HH
authors.lastname: Lee
authors.forename: Alison K
authors.initials: AK
authors.lastname: Klika
authors.forename: Boris
authors.initials: B
authors.lastname: Bershadsky
authors.forename: Viktor E
authors.initials: VE
authors.lastname: Krebs
authors.forename: Wael K
authors.initials: WK
authors.lastname: Barsoum
mesh_terms: D000465:Algorithms; D001182:Arthroscopy / Q000379:methods*; D016009:Chi-Square Distribution; D005260:Female; D025981:Hip Injuries / Q000175:diagnosis / Q000503:physiopathology / Q000601:surgery*; D006621:Hip Joint / Q000503:physiopathology / Q000601:surgery*; D006801:Humans; D007594:Joint Loose Bodies / Q000175:diagnosis / Q000503:physiopathology / Q000601:surgery*; D016015:Logistic Models; D018810:Magnetic Resonance Angiography; D008297:Male; D010146:Pain / Q000188:drug therapy; D010808:Physical Examination; D011237:Predictive Value of Tests; D020127:Recovery of Function; D012189:Retrospective Studies; D012307:Risk Factors; D012737:Sex Factors; D014942:Workers' Compensation / Q000706:statistics & numerical data