Quantitative Sensory Testing (QST) - Does assessing ... - TI Pharma
Quantitative Sensory Testing (QST) - Does assessing ... - TI Pharma Quantitative Sensory Testing (QST) - Does assessing ... - TI Pharma
Chapter 3 Somatosensory profiles but not numbers of somatosensory abnormalities of neuropathic pain patients correspond with neuropathic pain grading Konopka K.H., Harbers M., Houghton A., Kortekaas R., van Vliet A., Timmerman W., den Boer J.A., Struys M.M.R.F., van Wijhe M. submitted
3. Somatosensory function and neuropathic pain grading Abstract Due to the lack of a specific diagnostic tool a grading system to categorize pain as ‘definite’, ‘probable’, ‘possible’ and ‘unlikely’ neuropathic pain was proposed. Somatosensory abnormalities are common in neuropathic pain and it has been suggested that a greater number of abnormalities would be present in patients with ‘probable’ and ‘definite’ grades. To test this hypothesis, we investigated the presence of somatosensory abnormalities by means of QST in patients with a clinical diagnosis of neuropathic pain and correlated the number of sensory abnormalities and sensory profiles to the different grades. Of patients who were clinically diagnosed with neuropathic pain, only 60% were graded as ‘definite’ or ‘probable’, while 40% were graded as ‘possible’ or ‘unlikely’ neuropathic pain. Apparently, there is a mismatch between a clinical neuropathic pain diagnosis and neuropathic pain grading. Contrary to the expectation, patients with ‘probable’ and ‘definite’ grades did not have a greater number of abnormalities. Instead, similar numbers of somatosensory abnormalities were identified for each grade. The profiles of sensory signs in ‘definite’ and ‘probable’ neuropathic pain were not significantly different, but different from the ‘unlikely’ grade. This latter difference was due to a different frequency of a mixture of sensory gain and loss and of sensory loss only. The grading system allows a separation of neuropathic and non-neuropathic pain based on profiles but not on the total amount of sensory abnormalities. Our findings indicate that patient selection based on grading of neuropathic pain may provide advantages iselecting homogenous groups for clinical research.
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3. Somatosensory function and neuropathic pain grading<br />
Abstract<br />
Due to the lack of a specific diagnostic tool a grading system to categorize pain<br />
as ‘definite’, ‘probable’, ‘possible’ and ‘unlikely’ neuropathic pain was proposed.<br />
Somatosensory abnormalities are common in neuropathic pain and it has been suggested<br />
that a greater number of abnormalities would be present in patients with ‘probable’ and<br />
‘definite’ grades. To test this hypothesis, we investigated the presence of somatosensory<br />
abnormalities by means of <strong>QST</strong> in patients with a clinical diagnosis of neuropathic pain<br />
and correlated the number of sensory abnormalities and sensory profiles to the different<br />
grades.<br />
Of patients who were clinically diagnosed with neuropathic pain, only 60% were graded<br />
as ‘definite’ or ‘probable’, while 40% were graded as ‘possible’ or ‘unlikely’ neuropathic<br />
pain. Apparently, there is a mismatch between a clinical neuropathic pain diagnosis<br />
and neuropathic pain grading. Contrary to the expectation, patients with ‘probable’<br />
and ‘definite’ grades did not have a greater number of abnormalities. Instead, similar<br />
numbers of somatosensory abnormalities were identified for each grade. The profiles<br />
of sensory signs in ‘definite’ and ‘probable’ neuropathic pain were not significantly<br />
different, but different from the ‘unlikely’ grade. This latter difference was due to a<br />
different frequency of a mixture of sensory gain and loss and of sensory loss only.<br />
The grading system allows a separation of neuropathic and non-neuropathic pain based<br />
on profiles but not on the total amount of sensory abnormalities. Our findings indicate<br />
that patient selection based on grading of neuropathic pain may provide advantages<br />
iselecting homogenous groups for clinical research.