Literature DB >> 31745220

Gender based differences, pharmacogenetics and adverse events in chronic pain management.

Beatriz Planelles1,2, César Margarit1,2, María-Del-Mar Inda2, Pura Ballester2, Javier Muriel2, Jordi Barrachina3, Raquel Ajo2, María-Dolores Esteban4, Ana M Peiró5,6,7.   

Abstract

Safety data in chronic non-cancer pain (CNCP) with long-term opioid therapy has been poorly studied and can be differently influenced by gender. Furthermore, pharmacogenetics (PGx) could possibly be used to tailor pain medication based on the individual's genetic background. The aim was to assess whether PGx applied to a pharmacovigilance system could help to improve a patient's security profile. A pharmacovigilance data recording system was conducted over 24 months, including genotyping of OPRM1 variants (opioid receptor, A118G) and COMT (enzyme that degrades catecholamines such as norepinephrine, G1947A). Pain intensity (visual analogue scale, VAS), morphine equivalent daily dose (MEDD), adverse events (AEs) and suspected adverse drug reactions (ADRs) were recorded and analysed by gender. The Ethics Committee approved the study and data were analysed with R 3.6.0 software. A total of 748 patients were recruited in the study (67% female, VAS 62 ± 29 mm, MEDD 119 ± 114 mg/day) reporting a median of 6 (3.5-9) AEs/patient. Women presented more nausea, headaches, insomnia, loss of appetite, weight change, depression and dizziness than men. Analysis by genotype demonstrated that PGx influenced the prevalence of vomiting and depression in men, dizziness in women and sexual dysfunction in both. Physicians notified 150 ADRs mostly in females (79%) related to nervous system disorders. PGx applied to a pharmacovigilance recording system provides important information to achieve a better knowledge about AEs in CNCP pharmacological therapy. OPRM1 and COMT polymorphisms were associated with AEs in CNCP patients that differed according to gender.

Entities:  

Year:  2019        PMID: 31745220     DOI: 10.1038/s41397-019-0118-9

Source DB:  PubMed          Journal:  Pharmacogenomics J        ISSN: 1470-269X            Impact factor:   3.550


  6 in total

1.  Oxycodone/naloxone versus tapentadol in real-world chronic non-cancer pain management: an observational and pharmacogenetic study.

Authors:  Jordi Barrachina; Cesar Margarit; Javier Muriel; Santiago López-Gil; Vicente López-Gil; Amaya Vara-González; Beatriz Planelles; María-Del-Mar Inda; Domingo Morales; Ana M Peiró
Journal:  Sci Rep       Date:  2022-06-16       Impact factor: 4.996

Review 2.  A systematic review on the cost effectiveness of pharmacogenomics in developing countries: implementation challenges.

Authors:  Asif Sukri; Mohd Zaki Salleh; Collen Masimirembwa; Lay Kek Teh
Journal:  Pharmacogenomics J       Date:  2022-03-22       Impact factor: 3.245

3.  Transcutaneous electrical nerve stimulation for advanced cancer pain inpatients in specialist palliative care-a blinded, randomized, sham-controlled pilot cross-over trial.

Authors:  Waldemar Siemens; Christopher Boehlke; Michael I Bennett; Klaus Offner; Gerhild Becker; Jan Gaertner
Journal:  Support Care Cancer       Date:  2020-03-03       Impact factor: 3.603

4.  Rates of genetic testing in patients prescribed drugs with pharmacogenomic information in FDA-approved labeling.

Authors:  John Young; Kaustuv Bhattacharya; Sujith Ramachandran; Aaron Lee; John P Bentley
Journal:  Pharmacogenomics J       Date:  2021-02-15       Impact factor: 3.550

5.  Gender differences in association of prescription opioid use and mortality: A propensity-matched analysis from the REasons for Geographic And Racial Differences in Stroke (REGARDS) prospective cohort.

Authors:  Yulia Khodneva; Joshua Richman; Stefan Kertesz; Monika M Safford
Journal:  Subst Abus       Date:  2019-12-20       Impact factor: 3.716

6.  Editorial: Differences in Pain Biology, Perception, and Coping Strategies: Towards Sex and Gender Specific Treatments.

Authors:  Parisa Gazerani; Anna Maria Aloisi; Hiroshi Ueda
Journal:  Front Neurosci       Date:  2021-06-18       Impact factor: 4.677

  6 in total

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