title: Brief Pain Inventory score identifying and discriminating neuropathic and nociceptive pain.
abstract: OBJECTIVE
  The aim of this study was to evaluate the psychometric properties of the Brief Pain Inventory (BPI) as well as tests of its reliability, validity, and discriminative utility for estimating the status of chronic pain in neuropathic and nociceptive pain patients.
  
  
  METHODS
  We enrolled 224 chronic pain (126 neuropathic pain and 98 nociceptive pain) patients. The original version of the BPI was translated into Turkish by standard procedures. An independent clinician determined the pain type. The factor analysis, reliability (internal consistency and test-retest reliability), and validity (agreement with the reference diagnosis and sensitivity, specificity, and positive and negative predictive values) were determined. Discriminant function analysis was then employed to determine whether BPI could differentiate between neuropathic and nociceptive pain.
  
  
  RESULTS
  Cronbach's α-coefficient was 0.84 for the test and 0.83 for the retest. BPI scores for subjects did not significantly differ between applications r:0.96 (P < 0.01). Principal axis factoring with oblimin rotation revealed three interpretable factors: severity scale, activity interference, and sleep and mood interference. Compared to the clinical assessment, sensitivity, specificity, and positive and negative predictive values for criterion total BPI score were 79.37%, 46.9%, 65.8%, and 63.9%, respectively.
  
  
  CONCLUSIONS
  The results suggest that Turkish version of BPI is a reliable and valid evaluation measure of neuropathic and nociceptive pain patients. This is the first study reporting the comparison and validation of psychometric properties of BPI in neuropathic and nociceptive pain group. Our data suggest that BPI may able to discriminate the origin of chronic pain.
authors.affiliation: Department of Neurology, Faculty of Medicine, Kirikkale University, Kirikkale, Turkey.
authors.forename: A K
authors.initials: AK
authors.lastname: Erdemoglu
authors.forename: R
authors.initials: R
authors.lastname: Koc
mesh_terms: D000328:Adult; D000368:Aged; D005163:Factor Analysis, Statistical; D005260:Female; D006801:Humans; D008297:Male; D008875:Middle Aged; D009437:Neuralgia / Q000175:diagnosis*; D059226:Nociceptive Pain / Q000175:diagnosis*; D010147:Pain Measurement; D011594:Psychometrics; D012372:ROC Curve; D015203:Reproducibility of Results; D011795:Surveys and Questionnaires; D055815:Young Adult
keywords: Brief Pain Inventory; discriminate; neuropathic; nociceptive; reliability; validation