Sentence examples for classification pain from inspiring English sources

For each classification, pain modulation, stabilization exercise, mobilization and training, agreement was 90%, 83%, 58%and89%9% (κ = 0.77, 0.67, 0.11 and 0.75), respectively.

When the study was initiated, the awareness of in-house classification pain management system was not as far developed as it is now.

The predictive value of the Quebec Task Force subgroups was then compared to the prediction of a more detailed model that consisted of the separate factors of the Quebec Task Force classification: arm pain intensity, dominating arm pain, arm pain location and neurological signs.

The conditions were further divided into four classifications: pain-related, cardiovascular, respiratory, and others.

In conclusion, this unique classification of pain sites indicates that pain forms four clusters in a general population aged ≥50 years.

As a mechanisms-based classification of pain 'nociceptive pain' (NP) refers to pain attributable to the activation of the peripheral receptive terminals of primary afferent neurones in response to noxious chemical, mechanical or thermal stimuli.

The ability to readily differentiate people with increased sensitization could have implications for the diagnostic testing and classification of pain disorders, and for the prognostication of chronic pain treatments and patients' post-operative pain experience [ 1].

As 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.

As a mechanisms-based classification of pain 'peripheral neuropathic pain' (PNP) refers to pain arising from a primary lesion or dysfunction in the peripheral nervous system.

It is an open question whether the classification of pain syndromes based solely on the etiology is optimal, or whether it might be preferable to classify pain conditions on the basis of symptoms and signs [3, 4] or on patterns of somatosensory abnormalities [5, 6].

To the best of our knowledge, the current study is the first to derive unsupervised classification of pain onset from CSF proteomic profiles, and this result could offer new insights for the future characterization of pain in molecular and systems biology.