Low Back Pain Clinical Trial
Official title:
Linking Altered Central Pain Processing and Genetic Polymorphism to Drug Efficacy in Chronic Low Back Pain
Drug therapy in patients with chronic low back pain is a major challenge for physicians. One
of the problems is the lacking knowledge in prediction of drug efficacy in a chosen patient.
Usually one of the classes of pain medication is given to patients with a similar clinical
picture, although different pain mechanisms may be responsible for this clinical picture.
Another reason for variable drug efficacy are genetic polymorphisms, this may be the reason
why an unique drug produces different responses (from a lacking analgesic effect up to
excessive effect or side-effects.
Quantitative sensory testing is a method that documents alterations in the pain perception
system. Linking genetic polymorphisms to quantitative sensory testing may give us a tool for
anticipation of drug efficacy.
Background
Drug therapy is an essential part of pain treatment. However, only a minor part of pain
patients benefits from the available treatments or is able to tolerate the drugs. One
important limitation of drug therapy is lack of instruments to predict their effect. Indeed,
in clinical practice "classes" of drugs (e.g. antidepressants) are given to "classes" of
patients (e.g. neuropathic pain patients). However, within those classes of patients very
different pain mechanisms are likely to underlie the pain condition in different patients.
If drugs affect part of these mechanisms, they will not work in all patients. Another reason
for variability in drug responses is genetic variation leading to a spectrum of different
responses to analgesics, from lack of efficacy to exaggerated responses, up to intolerable
adverse effects.
Quantitative sensory testing comprises methods that document alterations and reorganization
of the nociceptive system. Measuring an abnormal result in a chronic pain patient may
provide us with the information that the underlying pain pathways somehow must be altered.
An essential question is whether this information can be linked to drug efficacy in a
mechanism-based treatment approach. A further important question is whether assessing
genetic polymorphisms can explain different drug effects and hence help selecting the
appropriate therapeutic strategy for individual patients.
Objective
We will test the hypothesis that there is a correlation between disturbances in specific
pain mechanisms as assessed by quantitative sensory tests and analgesic efficacy after
single-dose drug administration in patients with chronic low back pain. Genetic factors
affecting drug metabolism and pain sensitivity will be analyzed as additional explanatory
variables for drug efficacy.
Methods
Quantitative sensory testing: Heat pain threshold and tolerance, Ice water testing with
central modulation of nociceptive input (DNIC), electrical pain detection and temporal
summation (skin probe), pressure algometry with pain detection and threshold Drugs
investigated: Imipramine, Oxycodone, Clobazam Blood samples: pharmacogenetics: Cytochrome
variants CYP2D6, CYP2C19, CYP3A4, COMT haplotypes, CGH-1 variants, A118G of mu opioid
receptor gene variants pharmacokinetics: kinetics of imipramine and desipramine
;
Allocation: Randomized, Endpoint Classification: Efficacy Study, Intervention Model: Crossover Assignment, Masking: Double Blind (Subject, Caregiver, Investigator), Primary Purpose: Basic Science
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