The Discriminative Validity of “Nociceptive,” “Peripheral Neuropathic,” and “Central Sensitization” as Mechanisms-based Classifications of Musculoskeletal Pain

ObjectivesEmpirical evidence of discriminative validity is required to justify the use of mechanisms-based classifications of musculoskeletal pain in clinical practice. The purpose of this study was to evaluate the discriminative validity of mechanisms-based classifications of pain by identifying discriminatory clusters of clinical criteria predictive of “nociceptive,” “peripheral neuropathic,” and “central sensitization” pain in patients with low back (±leg) pain disorders. MethodsThis study was a cross-sectional, between-patients design using the extreme-groups method. Four hundred sixty-four patients with low back (±leg) pain were assessed using a standardized assessment protocol. After each assessment, patients' pain was assigned a mechanisms-based classification. Clinicians then completed a clinical criteria checklist indicating the presence/absence of various clinical criteria. ResultsMultivariate analyses using binary logistic regression with Bayesian model averaging identified a discriminative cluster of 7, 3, and 4 symptoms and signs predictive of a dominance of “nociceptive,” “peripheral neuropathic,” and “central sensitization” pain, respectively. Each cluster was found to have high levels of classification accuracy (sensitivity, specificity, positive/negative predictive values, positive/negative likelihood ratios). DiscussionBy identifying a discriminatory cluster of symptoms and signs predictive of “nociceptive,” “peripheral neuropathic,” and “central” pain, this study provides some preliminary discriminative validity evidence for mechanisms-based classifications of musculoskeletal pain. Classification system validation requires the accumulation of validity evidence before their use in clinical practice can be recommended. Further studies are required to evaluate the construct and criterion validity of mechanisms-based classifications of musculoskeletal pain.

[1]  J. Katz,et al.  Classification criteria and severity assessment in work-associated upper extremity disorders: methods matter. , 2000, American journal of industrial medicine.

[2]  G. Mckhann,et al.  Central nervous system mechanisms of pain , 2002 .

[3]  M. Devor Response of nerves to injury in relation to neuropathic pain , 2006 .

[4]  M. Bennett,et al.  Using screening tools to identify neuropathic pain , 2007, PAIN.

[5]  Bhupendra Rawal,et al.  A Novel Tool for the Assessment of Pain: Validation in Low Back Pain , 2009, PLoS medicine.

[6]  C. Doody,et al.  Mechanisms-based clinical reasoning of pain by experienced musculoskeletal physiotherapists , 2006 .

[7]  M. Benett,et al.  Watch Can pain be more or less neuropathic ? Comparison of symptom assessment tools with ratings of certainty by clinicians , 2007 .

[8]  P. Jüni,et al.  Consequences of different diagnostic "gold standards" in test accuracy research: Carpal Tunnel Syndrome as an example. , 2005, International journal of epidemiology.

[9]  R. Lipton,et al.  Towards a mechanism-based classification of pain? , 1998, Pain.

[10]  Chris J. Main,et al.  Pain management : an interdisciplinary approach , 2000 .

[11]  Blair H. Smith,et al.  Can pain can be more or less neuropathic? Comparison of symptom assessment tools with ratings of certainty by clinicians , 2006, Pain.

[12]  P. Wall,et al.  Textbook of pain , 1989 .

[13]  Ulf Lindblom,et al.  CLASSIFICATION OF CHRONIC PAIN , 2004 .

[14]  D. Tracey,et al.  Immune and inflammatory mechanisms in neuropathic pain , 2006, Brain Research Reviews.

[15]  S. Haldeman Presidential Address, North American Spine Society: Failure of the Pathology Model to Predict Back Pain , 1990, Spine.

[16]  B. Tabachnick,et al.  Using multivariate statistics, 5th ed. , 2007 .

[17]  R. Portenoy Mechanisms of clinical pain. Observations and speculations. , 1989, Neurologic clinics.

[18]  N. Petty,et al.  Neuromusculoskeletal Examination and Assessment: A Handbook for Therapists , 1998 .

[19]  David W. Hosmer,et al.  Applied Logistic Regression , 1991 .

[20]  Bernard Laurent,et al.  Comparison of pain syndromes associated with nervous or somatic lesions and development of a new neuropathic pain diagnostic questionnaire (DN4) , 2005, Pain.

[21]  H. Rijswijk,et al.  Comment on stEP (Scholz J, Mannion RJ, Hord DE, Griffin RS, Rawal B et al(2009)) A Novel Tool for the Assessment of Pain: Validation in Low Back Pain , 2009 .

[22]  Misha-Miroslav Backonja,et al.  Development of a Neuropathic Pain Questionnaire , 2003, The Clinical journal of pain.

[23]  M. Bennett,et al.  The LANSS Pain Scale: the Leeds assessment of neuropathic symptoms and signs , 2001, Pain.

[24]  L. Rajmil Health measurement scales. A practical guide to their development and use, 3rd ed , 2005 .

[25]  W. J. Hadden,et al.  A Comparison of , 1971 .

[26]  David Moher,et al.  The STARD Statement for Reporting Studies of Diagnostic Accuracy: Explanation and Elaboration , 2003, Annals of Internal Medicine [serial online].

[27]  J. Loeser,et al.  Bonica's Management of Pain , 2001 .

[28]  K. Palmer,et al.  Assessing case definitions in the absence of a diagnostic gold standard. , 2005, International journal of epidemiology.

[29]  J. Levine,et al.  Autonomic–endocrine–immune interactions in acute and chronic pain , 2006 .

[30]  S. Lutgendorf,et al.  Psychoneuroimmunology and health psychology: An integrative model , 2003, Brain, Behavior, and Immunity.

[31]  I. Scott,et al.  Cautionary tales in the clinical interpretation of studies of diagnostic tests , 2008, Internal medicine journal.

[32]  J. Lidbeck Central hyperexcitability in chronic musculoskeletal pain: a conceptual breakthrough with multiple clinical implications. , 2002, Pain research & management.

[33]  B. Koes,et al.  Clinical Guidelines for the Management of Low Back Pain in Primary Care: An International Comparison , 2001, Spine.

[34]  W. Willis Central nervous system mechanisms for pain modulation. , 1985, Applied neurophysiology.

[35]  R. Portenoy Development and testing of a neuropathic pain screening questionnaire: ID Pain , 2006, Current medical research and opinion.

[36]  K. Craig Emotions and psychobiology , 2006 .

[37]  Anna Genell,et al.  Bias in odds ratios by logistic regression modelling and sample size , 2009, BMC medical research methodology.

[38]  R. Baron,et al.  painDETECT: a new screening questionnaire to identify neuropathic components in patients with back pain , 2006, Current medical research and opinion.

[39]  A. Staines,et al.  Clinical indicators of 'nociceptive', 'peripheral neuropathic' and 'central' mechanisms of musculoskeletal pain. A Delphi survey of expert clinicians. , 2010, Manual therapy.

[40]  P. O'Sullivan,et al.  Classification systems for low back pain: a review of the methodology for development and validation , 2007 .

[41]  O. Williamson,et al.  Pain medicine and its models: helping or hindering? , 2008, Pain medicine.

[42]  R. Baron,et al.  The evaluation of neuropathic components in low back pain , 2009, Current pain and headache reports.

[43]  D. Butler The Sensitive Nervous System , 2000 .

[44]  S. Sindrup,et al.  Chronic neuropathic pain: mechanisms, drug targets and measurement , 2007, Fundamental & clinical pharmacology.

[45]  J. Riley,et al.  Models of pain. , 1999 .

[46]  Clifford J. Woolf,et al.  Pain: Moving from Symptom Control toward Mechanism-Specific Pharmacologic Management , 2004, Annals of Internal Medicine.