title: Returning to the bedside: using the history and physical examination to identify rotator cuff tears.
abstract: OBJECTIVE
  To determine the value of elements of the bedside history and physical examination in predicting arthrography results in older patients with suspected rotator cuff tear (RCT).
  
  
  METHODS
  Retrospective chart review
  
  
  METHODS
  Orthopedic practice limited to disorders of the shoulder
  
  
  METHODS
  448 consecutive patients with suspected RCT referred for arthrography over a 4-year period
  
  
  METHODS
  Presence of partial or complete RCT on arthrogram
  
  
  RESULTS
  301 patients (67.2%) had evidence of complete or partial RCT. Clinical findings in the univariate analysis most closely associated with rotator cuff tear included infra- and supraspinatus atrophy (P < .001), weakness with either elevation (P < .001) or external rotation (P < .001), arc of pain (P = .004), and impingement sign (P = .01). Stepwise logistic regression based on a derivation dataset (n = 191) showed that weakness with external rotation (Adjusted Odds Ratio (AOR) 6.96 (3.09, 13.03)), age > or = 65 (AOR 4.05(2.47, 16.07)), and night pain (AOR 2.61 (1.004, 7.39)) best predicted the presence of RCT. A five-point scoring system developed from this model was applied in the remaining patient sample (n = 216) to test validity. No significant differences in performance were noted using ROC curve comparison. Using likelihood ratios, a clinical score = 4 was superior in predicting RCT to the diagnostic prediction of an expert clinician. This score had specificity equivalent to magnetic resonance imaging or ultrasonography in diagnosis of RCT.
  
  
  CONCLUSIONS
  The presence of three simple features in the history and physical examination of the shoulder can identify RCT efficiently. This approach offers a valuable strategy to diagnosis at the bedside without compromising sensitivity or specificity.
authors.affiliation: Department of General Internal Medicine, The Cleveland Clinic Foundation, Ohio 44195, USA.
authors.forename: D
authors.initials: D
authors.lastname: Litaker
authors.forename: M
authors.initials: M
authors.lastname: Pioro
authors.forename: H
authors.initials: H
authors.lastname: El Bilbeisi
authors.forename: J
authors.initials: J
authors.lastname: Brems
mesh_terms: D000368:Aged; D000704:Analysis of Variance; D001175:Arthrography / Q000592:standards; D005260:Female; D015577:Geriatric Assessment; D006801:Humans; D016013:Likelihood Functions; D016015:Logistic Models; D008279:Magnetic Resonance Imaging / Q000592:standards; D008297:Male; D008487:Medical History Taking / Q000379:methods / Q000592:standards*; D016017:Odds Ratio; D009985:Orthopedics / Q000379:methods; D010362:Patients' Rooms; D010808:Physical Examination / Q000379:methods / Q000592:standards*; D011237:Predictive Value of Tests; D016059:Range of Motion, Articular; D012189:Retrospective Studies; D012399:Rotation; D000070636:Rotator Cuff Injuries; D012680:Sensitivity and Specificity; D012720:Severity of Illness Index; D014463:Ultrasonography / Q000592:standards; D014947:Wounds and Injuries / Q000145:classification / Q000175:diagnosis / Q000209:etiology / Q000503:physiopathology