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dc.contributor.authorSmart, Keith M
dc.contributor.authorBlake, Catherine
dc.contributor.authorStaines, Anthony
dc.contributor.authorThacker, Mick
dc.contributor.authorDoody, Catherine
dc.date.accessioned2012-11-07T15:06:38Z
dc.date.available2012-11-07T15:06:38Z
dc.date.issued2012-08
dc.identifier.citationMechanisms-based classifications of musculoskeletal pain: part 1 of 3: symptoms and signs of central sensitisation in patients with low back (± leg) pain. 2012, 17 (4):336-44 Man Theren_GB
dc.identifier.issn1532-2769
dc.identifier.pmid22534654
dc.identifier.doi10.1016/j.math.2012.03.013
dc.identifier.urihttp://hdl.handle.net/10147/251315
dc.description.abstractAs a mechanisms-based classification of pain 'central sensitisation pain' (CSP) refers to pain arising from a dominance of neurophysiological dysfunction within the central nervous system. Symptoms and signs associated with an assumed dominance of CSP in patients attending for physiotherapy have not been extensively studied. The purpose of this study was to identify symptoms and signs associated with a clinical classification of CSP in patients with low back (± leg) pain. Using a cross-sectional, between-subjects design; four hundred and sixty-four patients with low back (± leg) pain were assessed using a standardised assessment protocol. Patients' pain was assigned a mechanisms-based classification based on experienced clinical judgement. Clinicians then completed a clinical criteria checklist specifying the presence or absence of various clinical criteria. A binary logistic regression analysis with Bayesian model averaging identified a cluster of three symptoms and one sign predictive of CSP, including: 'Disproportionate, non-mechanical, unpredictable pattern of pain provocation in response to multiple/non-specific aggravating/easing factors', 'Pain disproportionate to the nature and extent of injury or pathology', 'Strong association with maladaptive psychosocial factors (e.g. negative emotions, poor self-efficacy, maladaptive beliefs and pain behaviours)' and 'Diffuse/non-anatomic areas of pain/tenderness on palpation'. This cluster was found to have high levels of classification accuracy (sensitivity 91.8%, 95% confidence interval (CI): 84.5-96.4; specificity 97.7%, 95% CI: 95.6-99.0). Pattern recognition of this empirically-derived cluster of symptoms and signs may help clinicians identify an assumed dominance of CSP in patients with low back pain disorders in a way that might usefully inform their management.
dc.language.isoenen
dc.rightsArchived with thanks to Manual therapyen_GB
dc.subject.meshAdult
dc.subject.meshAged
dc.subject.meshAged, 80 and over
dc.subject.meshAnalysis of Variance
dc.subject.meshBayes Theorem
dc.subject.meshCentral Nervous System Sensitization
dc.subject.meshCross-Sectional Studies
dc.subject.meshFemale
dc.subject.meshHumans
dc.subject.meshIreland
dc.subject.meshLogistic Models
dc.subject.meshLow Back Pain
dc.subject.meshMale
dc.subject.meshMiddle Aged
dc.subject.meshMusculoskeletal Pain
dc.subject.meshPain Measurement
dc.subject.meshPain Threshold
dc.subject.meshPeripheral Nervous System Diseases
dc.subject.meshPhysical Examination
dc.subject.meshPsychology
dc.subject.meshRegression Analysis
dc.subject.meshSeverity of Illness Index
dc.subject.meshYoung Adult
dc.titleMechanisms-based classifications of musculoskeletal pain: part 1 of 3: symptoms and signs of central sensitisation in patients with low back (± leg) pain.en_GB
dc.typeArticleen
dc.contributor.departmentPhysiotherapy Department, St Vincent's University Hospital, Elm Park, Dublin 4, Ireland. k.smart@svuh.ieen_GB
dc.identifier.journalManual therapyen_GB
dc.description.provinceLeinsteren
refterms.dateFOA2018-08-23T01:43:55Z
html.description.abstractAs a mechanisms-based classification of pain 'central sensitisation pain' (CSP) refers to pain arising from a dominance of neurophysiological dysfunction within the central nervous system. Symptoms and signs associated with an assumed dominance of CSP in patients attending for physiotherapy have not been extensively studied. The purpose of this study was to identify symptoms and signs associated with a clinical classification of CSP in patients with low back (± leg) pain. Using a cross-sectional, between-subjects design; four hundred and sixty-four patients with low back (± leg) pain were assessed using a standardised assessment protocol. Patients' pain was assigned a mechanisms-based classification based on experienced clinical judgement. Clinicians then completed a clinical criteria checklist specifying the presence or absence of various clinical criteria. A binary logistic regression analysis with Bayesian model averaging identified a cluster of three symptoms and one sign predictive of CSP, including: 'Disproportionate, non-mechanical, unpredictable pattern of pain provocation in response to multiple/non-specific aggravating/easing factors', 'Pain disproportionate to the nature and extent of injury or pathology', 'Strong association with maladaptive psychosocial factors (e.g. negative emotions, poor self-efficacy, maladaptive beliefs and pain behaviours)' and 'Diffuse/non-anatomic areas of pain/tenderness on palpation'. This cluster was found to have high levels of classification accuracy (sensitivity 91.8%, 95% confidence interval (CI): 84.5-96.4; specificity 97.7%, 95% CI: 95.6-99.0). Pattern recognition of this empirically-derived cluster of symptoms and signs may help clinicians identify an assumed dominance of CSP in patients with low back pain disorders in a way that might usefully inform their management.


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