Sensory Pain Qualities in Neuropathic Pain
| Autor: | Ed Whalen, T. Kevin Murphy, Levent Dumenci, Sean Mackey, Ian Carroll, Birol Emir |
|---|---|
| Rok vydání: | 2012 |
| Předmět: |
Adult
Male medicine.medical_specialty Pregabalin Neuralgia Postherpetic Article Cohort Studies Young Adult Diabetic Neuropathies Double-Blind Method Surveys and Questionnaires medicine Humans gamma-Aminobutyric Acid Stabbing Pain Aged Pain Measurement Randomized Controlled Trials as Topic Aged 80 and over Analgesics Dose-Response Relationship Drug Postherpetic neuralgia business.industry fungi Middle Aged Models Theoretical medicine.disease Confirmatory factor analysis Anesthesiology and Pain Medicine Peripheral neuropathy Neurology McGill Pain Questionnaire Neuropathic pain Neuralgia Physical therapy Female Neurology (clinical) Factor Analysis Statistical business medicine.drug |
| Zdroj: | The Journal of Pain. 13:58-63 |
| ISSN: | 1526-5900 |
| DOI: | 10.1016/j.jpain.2011.10.002 |
| Popis: | The qualities of chronic neuropathic pain (NeP) may be informative about the different mechanisms of pain. We previously developed a 2-factor model of NeP that described an underlying structure among sensory descriptors on the Short-Form McGill Pain Questionnaire. The goal of this study was to confirm the correlated 2-factor model of NeP. Individual descriptive scores from the Short-Form McGill Pain Questionnaire were analyzed. Confirmatory factor analysis was used to test a correlated 2-factor model. Factor 1 (stabbing pain) was characterized by high loadings on stabbing, sharp, and shooting sensory items; factor 2 (heavy pain) was characterized by high loadings on heavy, gnawing, and aching items. Results of the confirmatory factor analysis strongly supported the correlated 2-factor model. Perspective This article validates a model that describes the qualities of neuropathic pain associated with diabetic peripheral neuropathy and postherpetic neuralgia. These data suggest that specific pain qualities may be associated with pain mechanisms or may be useful for predicting treatment response. |
| Databáze: | OpenAIRE |
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