Predicting the analgesic effect to oxycodone by 'static' and 'dynamic' quantitative sensory testing in healthy subjects

Elon Eisenberg, Ayelet Midbari, May Haddad, Dorit Pud

Research output: Contribution to journalArticlepeer-review

Abstract

The large inter-individual variability in the magnitude of analgesia in response to opioids and the high prevalence of adverse events associated with their use underline the clinical importance of being able to predict who will or will not respond to opioid treatment. The present study used both static and dynamic quantitative sensory testing (QST) on 40 healthy volunteers in order to test whether this methodology can predict the analgesic effects of oral oxycodone, as compared to a placebo, on latency to onset, pain intensity, and tolerance to the cold pressor test (CPT). Static QST consisted of measuring heat and cold pain thresholds. Dynamic QST included measurements of the magnitude of the diffuse noxious inhibitory control (DNIC)-like effect and of temporal summation (TS). Results showed that oxycodone, but not the placebo, significantly elevated the latency and tolerance to cold pain and significantly reduced pain intensity. The static QST results showed that heat pain thresholds predicted the magnitude of reduction in pain intensity in response to oxycodone treatment (F(1,22) = 5.63, p = 0.027, R2 = 0.17). The dynamic QST results showed that TS predicted the effect of oxycodone on the tolerance to CPT (F(1,38) = 9.11, p = 0.005, R2 = 0.17). These results suggest that both static and dynamic QST have the potential to be useful in the prediction of the response to opioid treatment.

Original languageEnglish
Pages (from-to)104-109
Number of pages6
JournalPain
Volume151
Issue number1
DOIs
StatePublished - Oct 2010

Keywords

  • Cold pressor test (CPT)
  • Diffuse noxious inhibitory control (DNIC)
  • Opioid analgesia
  • Quantitative sensory testing (QST)
  • Temporal summation
  • Thermal pain threshold

ASJC Scopus subject areas

  • Clinical Neurology
  • Neurology
  • Anesthesiology and Pain Medicine

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