Literature DB >> 18789637

An intravenous ketamine test as a predictive response tool in opioid-exposed patients with persistent pain.

Steven P Cohen1, Shuxing Wang, Lucy Chen, Connie Kurihara, Geselle McKnight, Matthew Marcuson, Jianren Mao.   

Abstract

Chronic pain patients who are treated with opioid therapy represent a significant challenge to medical professionals. When pain recurs in the face of a previously effective opioid regimen, treatment options include dose escalation, opioid rotation, drug holidays, and the addition of adjuvants. Some experts advocate the use of N-methyl-D-aspartate receptor (NMDA-R) antagonists to combat tolerance. Recently, the use of an intravenous (i.v.) ketamine infusion to predict the response to a dextromethorphan (DX) treatment trial has been described. In this study, 56 opioid-exposed patients with recurrent pain were treated with a low-dose (0.1mg/kg) i.v. ketamine test followed by a DX treatment course. Using previously designated cutoff values for a positive response to ketamine (67% or more pain relief) and DX (50% or more pain relief), the sensitivity, specificity, positive predictive value, and negative predictive value for an i.v. ketamine infusion to predict subsequent response to DX treatment were 72%, 68%, 52%, and 85%, respectively. The observed agreement between analgesic responses was 78%, indicating a highly significant correlation (r=0.54, P=0.0001). Subgroup classification revealed no significant differences in the response to either ketamine or DX treatment based on pain classification (i.e., nociceptive, neuropathic, or mixed) or placebo response. In contrast, a weaker correlation between ketamine and DX response was found in subjects requiring high-dose rather than low-dose opioid therapy. A significant correlation also was noted between the development of side effects for the two NMDA-R antagonists. Based on these results, we conclude that an i.v. ketamine test may be a valuable tool in predicting subsequent response to DX treatment in opioid-exposed patients. with persistent pain.

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Year:  2008        PMID: 18789637     DOI: 10.1016/j.jpainsymman.2008.03.018

Source DB:  PubMed          Journal:  J Pain Symptom Manage        ISSN: 0885-3924            Impact factor:   3.612


  5 in total

Review 1.  Adverse effects of chronic opioid therapy for chronic musculoskeletal pain.

Authors:  Leslie J Crofford
Journal:  Nat Rev Rheumatol       Date:  2010-04       Impact factor: 20.543

2.  Lack of correlation between opioid dose adjustment and pain score change in a group of chronic pain patients.

Authors:  Lucy Chen; Trang Vo; Lindsey Seefeld; Charlene Malarick; Mary Houghton; Shihab Ahmed; Yi Zhang; Abigail Cohen; Cynthia Retamozo; Kristen St Hilaire; Vivian Zhang; Jianren Mao
Journal:  J Pain       Date:  2013-02-26       Impact factor: 5.820

3.  A functional relationship between trigeminal astroglial activation and NR1 expression in a rat model of temporomandibular joint inflammation.

Authors:  Shuxing Wang; Li Song; Yonghui Tan; Yuxin Ma; Yinghong Tian; Xu Jin; Grewo Lim; Shuzhuo Zhang; Lucy Chen; Jianren Mao
Journal:  Pain Med       Date:  2012-10-30       Impact factor: 3.750

Review 4.  Patient phenotyping in clinical trials of chronic pain treatments: IMMPACT recommendations.

Authors:  Robert R Edwards; Robert H Dworkin; Dennis C Turk; Martin S Angst; Raymond Dionne; Roy Freeman; Per Hansson; Simon Haroutounian; Lars Arendt-Nielsen; Nadine Attal; Ralf Baron; Joanna Brell; Shay Bujanover; Laurie B Burke; Daniel Carr; Amy S Chappell; Penney Cowan; Mila Etropolski; Roger B Fillingim; Jennifer S Gewandter; Nathaniel P Katz; Ernest A Kopecky; John D Markman; George Nomikos; Linda Porter; Bob A Rappaport; Andrew S C Rice; Joseph M Scavone; Joachim Scholz; Lee S Simon; Shannon M Smith; Jeffrey Tobias; Tina Tockarshewsky; Christine Veasley; Mark Versavel; Ajay D Wasan; Warren Wen; David Yarnitsky
Journal:  Pain       Date:  2016-09       Impact factor: 7.926

Review 5.  Consensus Guidelines on the Use of Intravenous Ketamine Infusions for Chronic Pain From the American Society of Regional Anesthesia and Pain Medicine, the American Academy of Pain Medicine, and the American Society of Anesthesiologists.

Authors:  Steven P Cohen; Anuj Bhatia; Asokumar Buvanendran; Eric S Schwenk; Ajay D Wasan; Robert W Hurley; Eugene R Viscusi; Samer Narouze; Fred N Davis; Elspeth C Ritchie; Timothy R Lubenow; William M Hooten
Journal:  Reg Anesth Pain Med       Date:  2018-07       Impact factor: 6.288

  5 in total

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