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Predicting drug efficacy in chronic low back pain by quantitative sensory tests
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| Zeitschriftentitel: | European Journal of Pain |
|---|---|
| Personen und Körperschaften: | , , , , , , , |
| In: | European Journal of Pain, 22, 2018, 5, S. 973-988 |
| Format: | E-Article |
| Sprache: | Englisch |
| veröffentlicht: |
Wiley
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| Schlagwörter: |
| author_facet |
Schliessbach, J. Siegenthaler, A. Bütikofer, L. Vuilleumier, P. Jüni, P. Stamer, U. Arendt‐Nielsen, L. Curatolo, M. Schliessbach, J. Siegenthaler, A. Bütikofer, L. Vuilleumier, P. Jüni, P. Stamer, U. Arendt‐Nielsen, L. Curatolo, M. |
|---|---|
| author |
Schliessbach, J. Siegenthaler, A. Bütikofer, L. Vuilleumier, P. Jüni, P. Stamer, U. Arendt‐Nielsen, L. Curatolo, M. |
| spellingShingle |
Schliessbach, J. Siegenthaler, A. Bütikofer, L. Vuilleumier, P. Jüni, P. Stamer, U. Arendt‐Nielsen, L. Curatolo, M. European Journal of Pain Predicting drug efficacy in chronic low back pain by quantitative sensory tests Anesthesiology and Pain Medicine |
| author_sort |
schliessbach, j. |
| spelling |
Schliessbach, J. Siegenthaler, A. Bütikofer, L. Vuilleumier, P. Jüni, P. Stamer, U. Arendt‐Nielsen, L. Curatolo, M. 1090-3801 1532-2149 Wiley Anesthesiology and Pain Medicine http://dx.doi.org/10.1002/ejp.1183 <jats:title>Abstract</jats:title><jats:sec><jats:title>Background</jats:title><jats:p>Drugs are prescribed for chronic low back pain without knowing in advance whether a patient will respond to them or not. Quantitative sensory tests (<jats:styled-content style="fixed-case">QST</jats:styled-content>) can discriminate patients according to sensory phenotype, possibly reflecting underlying mechanisms of pain processing. <jats:styled-content style="fixed-case">QST</jats:styled-content> may therefore be a screening tool to identify potential responders to a certain drug. The aim of this study was to investigate whether <jats:styled-content style="fixed-case">QST</jats:styled-content> can predict analgesic effects of oxycodone, imipramine and clobazam in chronic low back pain.</jats:p></jats:sec><jats:sec><jats:title>Methods</jats:title><jats:p>Oxycodone 15 mg (<jats:italic>n </jats:italic>= 50), imipramine 75 mg (<jats:italic>n </jats:italic>= 50) and clobazam 20 mg (<jats:italic>n </jats:italic>= 49) were compared to active placebo tolterodine 1 mg in a randomized, double‐blinded, crossover fashion. Electrical, pressure and thermal <jats:styled-content style="fixed-case">QST</jats:styled-content> were performed at baseline and after 1 and 2 h. Pain intensity was assessed on a 0–10 numeric rating scale every 30 min for up to 2 h. The ability of baseline <jats:styled-content style="fixed-case">QST</jats:styled-content> to predict pain reduction after 2 h was analysed using linear mixed models. Genetic variants of drug‐metabolizing enzymes and genes affecting pain sensitivity were examined as covariables.</jats:p></jats:sec><jats:sec><jats:title>Results</jats:title><jats:p>No predictor of analgesic effect was found for oxycodone and clobazam. Thermal <jats:styled-content style="fixed-case">QST</jats:styled-content> was associated with analgesic effect of imipramine: patients more sensitive to heat or cold were more likely to experience an effect of imipramine. Pharmacogenetic variants and pain‐related candidate genes were not associated with drug efficacy.</jats:p></jats:sec><jats:sec><jats:title>Conclusions</jats:title><jats:p>Thermal <jats:styled-content style="fixed-case">QST</jats:styled-content> have the potential to predict imipramine effect in chronic low back pain. Oxycodone and clobazam effects could not be predicted by any of the selected <jats:styled-content style="fixed-case">QST</jats:styled-content> or genetic variants.</jats:p></jats:sec><jats:sec><jats:title>Significance</jats:title><jats:p>Predicting drug efficacy in chronic low back pain remains difficult. There is some evidence that patients more sensitive to heat and cold pain respond better to imipramine.</jats:p></jats:sec> Predicting drug efficacy in chronic low back pain by quantitative sensory tests European Journal of Pain |
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European Journal of Pain |
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| title |
Predicting drug efficacy in chronic low back pain by quantitative sensory tests |
| title_unstemmed |
Predicting drug efficacy in chronic low back pain by quantitative sensory tests |
| title_full |
Predicting drug efficacy in chronic low back pain by quantitative sensory tests |
| title_fullStr |
Predicting drug efficacy in chronic low back pain by quantitative sensory tests |
| title_full_unstemmed |
Predicting drug efficacy in chronic low back pain by quantitative sensory tests |
| title_short |
Predicting drug efficacy in chronic low back pain by quantitative sensory tests |
| title_sort |
predicting drug efficacy in chronic low back pain by quantitative sensory tests |
| topic |
Anesthesiology and Pain Medicine |
| url |
http://dx.doi.org/10.1002/ejp.1183 |
| publishDate |
2018 |
| physical |
973-988 |
| description |
<jats:title>Abstract</jats:title><jats:sec><jats:title>Background</jats:title><jats:p>Drugs are prescribed for chronic low back pain without knowing in advance whether a patient will respond to them or not. Quantitative sensory tests (<jats:styled-content style="fixed-case">QST</jats:styled-content>) can discriminate patients according to sensory phenotype, possibly reflecting underlying mechanisms of pain processing. <jats:styled-content style="fixed-case">QST</jats:styled-content> may therefore be a screening tool to identify potential responders to a certain drug. The aim of this study was to investigate whether <jats:styled-content style="fixed-case">QST</jats:styled-content> can predict analgesic effects of oxycodone, imipramine and clobazam in chronic low back pain.</jats:p></jats:sec><jats:sec><jats:title>Methods</jats:title><jats:p>Oxycodone 15 mg (<jats:italic>n </jats:italic>= 50), imipramine 75 mg (<jats:italic>n </jats:italic>= 50) and clobazam 20 mg (<jats:italic>n </jats:italic>= 49) were compared to active placebo tolterodine 1 mg in a randomized, double‐blinded, crossover fashion. Electrical, pressure and thermal <jats:styled-content style="fixed-case">QST</jats:styled-content> were performed at baseline and after 1 and 2 h. Pain intensity was assessed on a 0–10 numeric rating scale every 30 min for up to 2 h. The ability of baseline <jats:styled-content style="fixed-case">QST</jats:styled-content> to predict pain reduction after 2 h was analysed using linear mixed models. Genetic variants of drug‐metabolizing enzymes and genes affecting pain sensitivity were examined as covariables.</jats:p></jats:sec><jats:sec><jats:title>Results</jats:title><jats:p>No predictor of analgesic effect was found for oxycodone and clobazam. Thermal <jats:styled-content style="fixed-case">QST</jats:styled-content> was associated with analgesic effect of imipramine: patients more sensitive to heat or cold were more likely to experience an effect of imipramine. Pharmacogenetic variants and pain‐related candidate genes were not associated with drug efficacy.</jats:p></jats:sec><jats:sec><jats:title>Conclusions</jats:title><jats:p>Thermal <jats:styled-content style="fixed-case">QST</jats:styled-content> have the potential to predict imipramine effect in chronic low back pain. Oxycodone and clobazam effects could not be predicted by any of the selected <jats:styled-content style="fixed-case">QST</jats:styled-content> or genetic variants.</jats:p></jats:sec><jats:sec><jats:title>Significance</jats:title><jats:p>Predicting drug efficacy in chronic low back pain remains difficult. There is some evidence that patients more sensitive to heat and cold pain respond better to imipramine.</jats:p></jats:sec> |
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| author | Schliessbach, J., Siegenthaler, A., Bütikofer, L., Vuilleumier, P., Jüni, P., Stamer, U., Arendt‐Nielsen, L., Curatolo, M. |
| author_facet | Schliessbach, J., Siegenthaler, A., Bütikofer, L., Vuilleumier, P., Jüni, P., Stamer, U., Arendt‐Nielsen, L., Curatolo, M., Schliessbach, J., Siegenthaler, A., Bütikofer, L., Vuilleumier, P., Jüni, P., Stamer, U., Arendt‐Nielsen, L., Curatolo, M. |
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| description | <jats:title>Abstract</jats:title><jats:sec><jats:title>Background</jats:title><jats:p>Drugs are prescribed for chronic low back pain without knowing in advance whether a patient will respond to them or not. Quantitative sensory tests (<jats:styled-content style="fixed-case">QST</jats:styled-content>) can discriminate patients according to sensory phenotype, possibly reflecting underlying mechanisms of pain processing. <jats:styled-content style="fixed-case">QST</jats:styled-content> may therefore be a screening tool to identify potential responders to a certain drug. The aim of this study was to investigate whether <jats:styled-content style="fixed-case">QST</jats:styled-content> can predict analgesic effects of oxycodone, imipramine and clobazam in chronic low back pain.</jats:p></jats:sec><jats:sec><jats:title>Methods</jats:title><jats:p>Oxycodone 15 mg (<jats:italic>n </jats:italic>= 50), imipramine 75 mg (<jats:italic>n </jats:italic>= 50) and clobazam 20 mg (<jats:italic>n </jats:italic>= 49) were compared to active placebo tolterodine 1 mg in a randomized, double‐blinded, crossover fashion. Electrical, pressure and thermal <jats:styled-content style="fixed-case">QST</jats:styled-content> were performed at baseline and after 1 and 2 h. Pain intensity was assessed on a 0–10 numeric rating scale every 30 min for up to 2 h. The ability of baseline <jats:styled-content style="fixed-case">QST</jats:styled-content> to predict pain reduction after 2 h was analysed using linear mixed models. Genetic variants of drug‐metabolizing enzymes and genes affecting pain sensitivity were examined as covariables.</jats:p></jats:sec><jats:sec><jats:title>Results</jats:title><jats:p>No predictor of analgesic effect was found for oxycodone and clobazam. Thermal <jats:styled-content style="fixed-case">QST</jats:styled-content> was associated with analgesic effect of imipramine: patients more sensitive to heat or cold were more likely to experience an effect of imipramine. Pharmacogenetic variants and pain‐related candidate genes were not associated with drug efficacy.</jats:p></jats:sec><jats:sec><jats:title>Conclusions</jats:title><jats:p>Thermal <jats:styled-content style="fixed-case">QST</jats:styled-content> have the potential to predict imipramine effect in chronic low back pain. Oxycodone and clobazam effects could not be predicted by any of the selected <jats:styled-content style="fixed-case">QST</jats:styled-content> or genetic variants.</jats:p></jats:sec><jats:sec><jats:title>Significance</jats:title><jats:p>Predicting drug efficacy in chronic low back pain remains difficult. There is some evidence that patients more sensitive to heat and cold pain respond better to imipramine.</jats:p></jats:sec> |
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| spelling | Schliessbach, J. Siegenthaler, A. Bütikofer, L. Vuilleumier, P. Jüni, P. Stamer, U. Arendt‐Nielsen, L. Curatolo, M. 1090-3801 1532-2149 Wiley Anesthesiology and Pain Medicine http://dx.doi.org/10.1002/ejp.1183 <jats:title>Abstract</jats:title><jats:sec><jats:title>Background</jats:title><jats:p>Drugs are prescribed for chronic low back pain without knowing in advance whether a patient will respond to them or not. Quantitative sensory tests (<jats:styled-content style="fixed-case">QST</jats:styled-content>) can discriminate patients according to sensory phenotype, possibly reflecting underlying mechanisms of pain processing. <jats:styled-content style="fixed-case">QST</jats:styled-content> may therefore be a screening tool to identify potential responders to a certain drug. The aim of this study was to investigate whether <jats:styled-content style="fixed-case">QST</jats:styled-content> can predict analgesic effects of oxycodone, imipramine and clobazam in chronic low back pain.</jats:p></jats:sec><jats:sec><jats:title>Methods</jats:title><jats:p>Oxycodone 15 mg (<jats:italic>n </jats:italic>= 50), imipramine 75 mg (<jats:italic>n </jats:italic>= 50) and clobazam 20 mg (<jats:italic>n </jats:italic>= 49) were compared to active placebo tolterodine 1 mg in a randomized, double‐blinded, crossover fashion. Electrical, pressure and thermal <jats:styled-content style="fixed-case">QST</jats:styled-content> were performed at baseline and after 1 and 2 h. Pain intensity was assessed on a 0–10 numeric rating scale every 30 min for up to 2 h. The ability of baseline <jats:styled-content style="fixed-case">QST</jats:styled-content> to predict pain reduction after 2 h was analysed using linear mixed models. Genetic variants of drug‐metabolizing enzymes and genes affecting pain sensitivity were examined as covariables.</jats:p></jats:sec><jats:sec><jats:title>Results</jats:title><jats:p>No predictor of analgesic effect was found for oxycodone and clobazam. Thermal <jats:styled-content style="fixed-case">QST</jats:styled-content> was associated with analgesic effect of imipramine: patients more sensitive to heat or cold were more likely to experience an effect of imipramine. Pharmacogenetic variants and pain‐related candidate genes were not associated with drug efficacy.</jats:p></jats:sec><jats:sec><jats:title>Conclusions</jats:title><jats:p>Thermal <jats:styled-content style="fixed-case">QST</jats:styled-content> have the potential to predict imipramine effect in chronic low back pain. Oxycodone and clobazam effects could not be predicted by any of the selected <jats:styled-content style="fixed-case">QST</jats:styled-content> or genetic variants.</jats:p></jats:sec><jats:sec><jats:title>Significance</jats:title><jats:p>Predicting drug efficacy in chronic low back pain remains difficult. There is some evidence that patients more sensitive to heat and cold pain respond better to imipramine.</jats:p></jats:sec> Predicting drug efficacy in chronic low back pain by quantitative sensory tests European Journal of Pain |
| spellingShingle | Schliessbach, J., Siegenthaler, A., Bütikofer, L., Vuilleumier, P., Jüni, P., Stamer, U., Arendt‐Nielsen, L., Curatolo, M., European Journal of Pain, Predicting drug efficacy in chronic low back pain by quantitative sensory tests, Anesthesiology and Pain Medicine |
| title | Predicting drug efficacy in chronic low back pain by quantitative sensory tests |
| title_full | Predicting drug efficacy in chronic low back pain by quantitative sensory tests |
| title_fullStr | Predicting drug efficacy in chronic low back pain by quantitative sensory tests |
| title_full_unstemmed | Predicting drug efficacy in chronic low back pain by quantitative sensory tests |
| title_short | Predicting drug efficacy in chronic low back pain by quantitative sensory tests |
| title_sort | predicting drug efficacy in chronic low back pain by quantitative sensory tests |
| title_unstemmed | Predicting drug efficacy in chronic low back pain by quantitative sensory tests |
| topic | Anesthesiology and Pain Medicine |
| url | http://dx.doi.org/10.1002/ejp.1183 |