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Published on: July 16, 2014
Sensory and affective pain descriptors respond differentially to pharmacological interventions in neuropathic
Ian Gilron1, Dongsheng Tu, Ronald R Holden
1Department of Anesthesiology & Perioperative Medicine, Queen's University, Kingston, ON, Canada. gilroni@queensu.ca
Objectives:
Pain management is limited by inability to match a patient's condition-and pain mechanisms-to optimal treatment(s). Much is known about pain treatment from animal investigations, but antinociceptive mechanisms cannot be readily explored in clinical studies. Evidence suggests that self-report verbal pain descriptors characterize important pain dimensions and may reflect diverse underlying mechanisms.
Methods:
This exploratory analysis of data from a trial of a gabapentin-morphine combination evaluated effects of treatment on short-form McGill Pain Questionnaire sensory and affective descriptor profiles and prediction of treatment response by these descriptors.
Results:
Severity of "throbbing," "shooting," and "aching" improved preferentially with morphine over gabapentin, whereas "tiring-exhausting" and "sickening" improved preferentially with gabapentin over morphine. Improvement in descriptor severity with gabapentin-morphine combination was superior to active placebo for 12 of 15 short-form McGill Pain Questionnaire descriptors, whereas morphine and gabapentin were superior to active placebo for only 7 and 6 descriptors, respectively. Baseline moderate-severe "throbbing" and "hot-burning" predicted poor outcomes with gabapentin, whereas moderate-severe "aching" and "punishing-cruel" predicted favorable outcomes with gabapentin. Baseline "throbbing" severity also predicted poor outcomes with morphine. Baseline allodynia predicted superior reduction of "stabbing" with morphine but not with gabapentin alone.
Discussion:
These results point to the hypothesis that sensory and affective pain descriptor profiles exhibit a treatment-specific response. Larger, more definitive, investigations to evaluate treatment-specific effects on multiple sensory and affective pain descriptors, and prediction of treatment response by these descriptors, will advance efforts toward developing and implementing more effective individualized pain therapies.
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