Back to Journals » Journal of Pain Research » Volume 8
Authors Dimova V, Lötsch J, Hühne K, Winterpacht A, Heesen M, Parthum A, Weber PG, Carbon R, Griessinger N, Sittl R, Lautenbacher S
Received13 June 2015
Accepted for publication 16 September 2015
Published 27 November 2015 Volume 2015:8 Pages 829—844
DOIhttps://doi.org/10.2147/JPR.S90434
Checked for plagiarism Yes
Scale, Pain Anxiety Symptom Scale, the Pain Vigilance and Awareness Questionnaire, and the dot-probe task) and affective state, experimental pain sensitivity, and cortisol reactivity. Acute postoperative pain was assessed by ratings of pain intensity 1 week postsurgery and through the amount of analgesics [patient. Excessive attention to pain is a common psychological characteristic among people who suffer from chronic pain. The Pain Vigilance and Awareness Questionnaire (PVAQ) is an internationally accepted tool to assess this feature, although there is no validated version of this measure for Spanish people with fibromyalgia.
Review bySingle-blind
Peer reviewers approved byDr Kerui Gong
Peer reviewer comments 3
Editor who approved publication: Dr Michael E Schatman
Violeta Dimova,1–3 Jörn Lötsch,3 Kathrin Hühne,4 Andreas Winterpacht,4 Michael Heesen,5 Andreas Parthum,1,2 Peter G Weber,6 Roman Carbon,6 Norbert Griessinger,2 Reinhard Sittl,2 Stefan Lautenbacher1
1Physiological Psychology, Otto-Friedrich University Bamberg, 2Pain Center, Friedrich-Alexander University Erlangen, 3Institute of Clinical Pharmacology, Goethe University, Frankfurt am Main, 4Department of Human Genetics, Friedrich-Alexander University Erlangen, Germany; 5Department of Anaesthesia, Kantonsspital Baden, Baden, Switzerland; 6Department of Pediatric Surgery, Friedrich-Alexander University Erlangen, Germany
Abstract: The genetic control of pain has been repeatedly demonstrated in human association studies. In the present study, we assessed the relative contribution of 16 single nucleotide polymorphisms in pain-related genes, such as cathechol-O-methyl transferase gene (COMT), fatty acid amino hydrolase gene (FAAH), transient receptor potential cation channel, subfamily V, member 1 gene (TRPV1), and δ-opioid receptor gene (OPRD1), for postsurgical pain chronification. Ninety preoperatively pain-free male patients were assigned to good or poor outcome groups according to their intensity or disability score assessed at 1 week, 3 months, 6 months, and 1 year after funnel chest correction. The genetic effects were compared with those of two psychological predictors, the attentional bias toward positive words (dot-probe task) and the self-reported pain vigilance (Pain Vigilance and Awareness Questionnaire [PVAQ]), which were already shown to be the best predictors for pain intensity and disability at 6 months after surgery in the same sample, respectively. Cox regression analyses revealed no significant effects of any of the genetic predictors up to the end point of survival time at 1 year after surgery. Adding the genetics to the prediction by the attentional bias to positive words for pain intensity and the PVAQ for pain disability, again no significant additional explanation could be gained by the genetic predictors. In contrast, the preoperative PVAQ score was also, in the present enlarged sample, a meaningful predictor for lasting pain disability after surgery. Effect size measures suggested some genetic variables, for example, the polymorphism rs1800587G>A in the interleukin 1 alpha gene (IL1A) and the COMT haplotype rs4646312T>C/rs165722T>C/rs6269A>G/rs4633T>C/rs4818C>G/rs4680A>G, as possible relevant modulators of long-term postsurgical pain outcome. A comparison between pathophysiologically different predictor groups appears to be helpful in identifying clinically relevant predictors of chronic pain.
Keywords: genetics, COMT, OPRM1, postoperative pain, PVAQ
1Physiological Psychology, Otto-Friedrich University Bamberg, 2Pain Center, Friedrich-Alexander University Erlangen, 3Institute of Clinical Pharmacology, Goethe University, Frankfurt am Main, 4Department of Human Genetics, Friedrich-Alexander University Erlangen, Germany; 5Department of Anaesthesia, Kantonsspital Baden, Baden, Switzerland; 6Department of Pediatric Surgery, Friedrich-Alexander University Erlangen, Germany
Abstract: The genetic control of pain has been repeatedly demonstrated in human association studies. In the present study, we assessed the relative contribution of 16 single nucleotide polymorphisms in pain-related genes, such as cathechol-O-methyl transferase gene (COMT), fatty acid amino hydrolase gene (FAAH), transient receptor potential cation channel, subfamily V, member 1 gene (TRPV1), and δ-opioid receptor gene (OPRD1), for postsurgical pain chronification. Ninety preoperatively pain-free male patients were assigned to good or poor outcome groups according to their intensity or disability score assessed at 1 week, 3 months, 6 months, and 1 year after funnel chest correction. The genetic effects were compared with those of two psychological predictors, the attentional bias toward positive words (dot-probe task) and the self-reported pain vigilance (Pain Vigilance and Awareness Questionnaire [PVAQ]), which were already shown to be the best predictors for pain intensity and disability at 6 months after surgery in the same sample, respectively. Cox regression analyses revealed no significant effects of any of the genetic predictors up to the end point of survival time at 1 year after surgery. Adding the genetics to the prediction by the attentional bias to positive words for pain intensity and the PVAQ for pain disability, again no significant additional explanation could be gained by the genetic predictors. In contrast, the preoperative PVAQ score was also, in the present enlarged sample, a meaningful predictor for lasting pain disability after surgery. Effect size measures suggested some genetic variables, for example, the polymorphism rs1800587G>A in the interleukin 1 alpha gene (IL1A) and the COMT haplotype rs4646312T>C/rs165722T>C/rs6269A>G/rs4633T>C/rs4818C>G/rs4680A>G, as possible relevant modulators of long-term postsurgical pain outcome. A comparison between pathophysiologically different predictor groups appears to be helpful in identifying clinically relevant predictors of chronic pain.
Keywords: genetics, COMT, OPRM1, postoperative pain, PVAQ
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