• J D Putzke, J S Richards, B L Hicken, T J Ness, L Kezar, and M DeVivo.
• Department of Physical Medicine and Rehabilitation, University of Alabama at Birmingham, Birmingham, Alabama, USA.
• Spinal Cord. 2002 Mar 1; 40 (3): 118-27.

ObjectivesTo determine the predictive utility of verbal descriptors to distinguish between pain types following spinal cord injury (SCI).DesignCross-sectional.SettingUSA.MethodsParticipants (n=29) completed the Short Form - McGill Pain Questionnaire (SF-MPQ) for each pain site reported. A total of 64 pain sites were reported with 80% of the sample reporting multiple pain sites. Each pain site was categorized using three different SCI pain classification schemes. The predictive utility of verbal descriptors to distinguish between pain types was examined statistically using (1) each word separately, (2) a combination of words (ie, the SF-MPQ total subscales, the number of words chosen on each scale), and (3) discriminant function analysis.ResultsThere was a substantial overlap in the use of verbal descriptors across pain types. Few differences across pain types were found for endorsement of individual words, and differences across pain types were not found for any of the word combination scores. The majority of the verbal descriptors did not enter the step-wise discriminant functions for each SCI pain classification scheme, however, 'tingling' and 'aching' showed modest predictive utility for neuropathic and musculoskeletal pain, respectively. Correct classification was in the low range (ie, 39% to 82%, average=60%, with a 33% chance level). All three pain classification schemes showed the same general pattern of results.ConclusionIn general, verbal descriptors alone offered marginal utility with regard to identifying specific pain types following SCI. Future directions alone and implications are discussed.

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