1
|
Pednekar D, Russell J, Bardolia C, Thacker D, Amin NS. Chronic Pain Management in a CYP2D6 Poor Metabolizer: A Case Report for Oxycodone. Sr Care Pharm 2024; 39:137-142. [PMID: 38528335 DOI: 10.4140/tcp.n.2024.137] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/27/2024]
Abstract
The objective of this case report is to illustrate pharmacogenomics (PGx)-guided oxycodone treatment, given the conflicting data on the analgesic response from oxycodone in Cytochrome P450 (CYP)2D6 poor metabolizers (PMs). PGx-guided therapy can help improve treatment outcomes. This case report describes a 58-year-old patient who was prescribed oxycodone for chronic pain management. The patient presented with a history of inadequate pain control despite analgesic treatment with oxycodone (morphine milliequivalent [MME] = 22.5). Pharmacogenetic testing revealed that the patient was a CYP2D6 Poor Metabolizer (PM), which may shed light on the observed lack of analgesic response to oxycodone. The clinical pharmacist recommended switching to an alternative opioid not metabolized via the CYP2D6 pathway. The patient was subsequently switched to hydromorphone (MME = 16), resulting in improved pain control and fewer side effects. The newer hydromorphone dose accounted for a 30% MME dose reduction. The patient's initial average and worst pain score were 7 and 9 out of 10, respectively, per the numeric rating scale (NRS). Upon follow-up with the patient in two weeks, her average and worst pain scores improved to 3 and 3.5 out of 10, respectively, per the NRS. Further PGx testing results led to an overall positive outcome, such as her willingness to participate in physical therapy as a result of improved pain scores. This case highlights the importance of considering individual variability in drug metabolism when prescribing medications, particularly opioids such as oxycodone, to ensure optimal therapeutic outcomes and minimize the risk of adverse events in CYP2D6 PMs.
Collapse
Affiliation(s)
- Deepa Pednekar
- 1 Office of Translational Research and Residency Programs, Tabula Rasa HealthCare, Moorestown, New Jersey
| | - Joshua Russell
- 1 Office of Translational Research and Residency Programs, Tabula Rasa HealthCare, Moorestown, New Jersey
| | - Chandni Bardolia
- 1 Office of Translational Research and Residency Programs, Tabula Rasa HealthCare, Moorestown, New Jersey
| | - David Thacker
- 2 Precision Pharmacotherapy Research & Development Institute, Tabula Rasa HealthCare, Orlando, Florida
| | - Nishita Shah Amin
- 1 Office of Translational Research and Residency Programs, Tabula Rasa HealthCare, Moorestown, New Jersey
| |
Collapse
|
2
|
Wiss FM, Stäuble CK, Meyer Zu Schwabedissen HE, Allemann SS, Lampert ML. Pharmacogenetic Analysis Enables Optimization of Pain Therapy: A Case Report of Ineffective Oxycodone Therapy. J Pers Med 2023; 13:jpm13050829. [PMID: 37240999 DOI: 10.3390/jpm13050829] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2023] [Revised: 05/12/2023] [Accepted: 05/12/2023] [Indexed: 05/28/2023] Open
Abstract
Patients suffering from chronic pain may respond differently to analgesic medications. For some, pain relief is insufficient, while others experience side effects. Although pharmacogenetic testing is rarely performed in the context of analgesics, response to opiates, non-opioid analgesics, and antidepressants for the treatment of neuropathic pain can be affected by genetic variants. We describe a female patient who suffered from a complex chronic pain syndrome due to a disc hernia. Due to insufficient response to oxycodone, fentanyl, and morphine in addition to non-steroidal anti-inflammatory drug (NSAID)-induced side effects reported in the past, we performed panel-based pharmacogenotyping and compiled a medication recommendation. The ineffectiveness of opiates could be explained by a combined effect of the decreased activity in cytochrome P450 2D6 (CYP2D6), an increased activity in CYP3A, and an impaired drug response at the µ-opioid receptor. Decreased activity for CYP2C9 led to a slowed metabolism of ibuprofen and thus increased the risk for gastrointestinal side effects. Based on these findings we recommended hydromorphone and paracetamol, of which the metabolism was not affected by genetic variants. Our case report illustrates that an in-depth medication review including pharmacogenetic analysis can be helpful for patients with complex pain syndrome. Our approach highlights how genetic information could be applied to analyze a patient's history of medication ineffectiveness or poor tolerability and help to find better treatment options.
Collapse
Affiliation(s)
- Florine M Wiss
- Pharmaceutical Care, Department of Pharmaceutical Sciences, University of Basel, 4056 Basel, Switzerland
- Institute of Hospital Pharmacy, Solothurner Spitäler, 4600 Olten, Switzerland
| | - Céline K Stäuble
- Pharmaceutical Care, Department of Pharmaceutical Sciences, University of Basel, 4056 Basel, Switzerland
- Institute of Hospital Pharmacy, Solothurner Spitäler, 4600 Olten, Switzerland
- Biopharmacy, Department of Pharmaceutical Sciences, University of Basel, 4056 Basel, Switzerland
| | | | - Samuel S Allemann
- Pharmaceutical Care, Department of Pharmaceutical Sciences, University of Basel, 4056 Basel, Switzerland
| | - Markus L Lampert
- Pharmaceutical Care, Department of Pharmaceutical Sciences, University of Basel, 4056 Basel, Switzerland
- Institute of Hospital Pharmacy, Solothurner Spitäler, 4600 Olten, Switzerland
| |
Collapse
|
3
|
Soultati I, Ntenti C, Tsaousi G, Pourzitaki C, Gkinas D, Thomaidou E, Alexandrakis S, Papavramidis T, Goulas A. Effect of common OPRM1, COMT, SLC6A4, ABCB1, and CYP2B6 polymorphisms on perioperative analgesic and propofol demands on patients subjected to thyroidectomy surgery. Pharmacol Rep 2023; 75:386-396. [PMID: 36749481 DOI: 10.1007/s43440-023-00455-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2022] [Revised: 01/26/2023] [Accepted: 01/27/2023] [Indexed: 02/08/2023]
Abstract
BACKGROUND Perioperative anesthetic and/or analgesic demand present considerable variation, and part of that variation appears to be genetic in origin. Here we investigate the impact of common polymorphisms in OPRM1, COMT, SLC6A4, ABCB1, and CYP2B6 genes, on the intra-operative consumption of remifentanil and propofol, as well as the postoperative analgesic needs, in patients subjected to thyroidectomy surgery. METHODS We conducted a prospective cohort study with 90 patients scheduled to undergo elective thyroidectomy, under total intravenous anesthesia achieved by target control infusion (TCI) of propofol and remifentanil. Postoperative analgesics were administered by protocol and on-demand by the individual patient. Genotyping was established by PCR-RFLP methods. Genotyping data, intra-operative hemodynamics, and total consumption of remifentanil and propofol, as well as postoperative analgesic needs and pain perception, were recorded for each individual. RESULTS Patients with the ABCB1 3435TT genotype appeared to experience significantly less pain within one hour post-operatively, compared to C carriers [mean VAS (SD) = 0.86 (1.22) vs. 2.42 (1.75); p = 0.017], a finding limited to those seeking rescue analgesic treatment. Intra-operatively, homozygotes patients for the minor allele of OPRM1 A118G and CYP2B6 G516T appeared to consume less remifentanil [mean (SD) = 9.12 (1.01) vs. 13.53 (5.15), for OPRM1 118GG and A carriers] and propofol [median (range) = 14.95 (11.53, 1359.5) vs. 121.4 (1.43, 2349.4), for CYP2B6 516TT and G carriers, respectively] but the difference was not statistically significant in our sample. CONCLUSIONS The ABCB1 C3435T polymorphism appears to affect the postoperative perception of surgical pain among patients with low pain threshold. The small number of minor allele homozygotes for the OPRM1 A118G and CYP2B6 G516T polymorphisms precludes a definitive conclusion regarding the inclusion of the latter in a TCI-programming algorithm, based on the results of this study. CLINICAL TRIAL REGISTRATION NUMBER ACTRN12616001598471.
Collapse
Affiliation(s)
- Ioanna Soultati
- Department of Anesthesiology and Intensive Care Unit, School of Medicine, Faculty of Health Sciences, AHEPA University Hospital, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Charikleia Ntenti
- 1st Laboratory of Pharmacology, School of Medicine, Faculty of Health Sciences, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Georgia Tsaousi
- Department of Anesthesiology and Intensive Care Unit, School of Medicine, Faculty of Health Sciences, AHEPA University Hospital, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Chryssa Pourzitaki
- Laboratory of Clinical Pharmacology, School of Medicine, Faculty of Health Sciences, Aristotle University of Thessaloniki, University Campus, 54124, Thessaloniki, Greece.
| | - Dimitris Gkinas
- Department of Anesthesiology and Intensive Care Unit, School of Medicine, Faculty of Health Sciences, AHEPA University Hospital, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Evanthia Thomaidou
- Department of Anesthesiology and Intensive Care Unit, School of Medicine, Faculty of Health Sciences, AHEPA University Hospital, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Spiros Alexandrakis
- Laboratory of Clinical Pharmacology, School of Medicine, Faculty of Health Sciences, Aristotle University of Thessaloniki, University Campus, 54124, Thessaloniki, Greece
| | - Theodosios Papavramidis
- 1st Propedeutic Department of Surgery, School of Medicine, Faculty of Health Sciences, AHEPA University Hospital, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Antonis Goulas
- 1st Laboratory of Pharmacology, School of Medicine, Faculty of Health Sciences, Aristotle University of Thessaloniki, Thessaloniki, Greece
| |
Collapse
|
4
|
Pizzolato K, Thacker D, Del Toro-Pagán NM, Amin NS, Hanna A, Turgeon J, Michaud V. Utilizing Pharmacogenomics Results to Determine Opioid Appropriateness and Improve Pain Management in a Patient with Osteoarthritis. Pharmgenomics Pers Med 2022; 15:943-950. [PMID: 36393978 PMCID: PMC9651068 DOI: 10.2147/pgpm.s385272] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2022] [Accepted: 10/21/2022] [Indexed: 11/09/2022] Open
Abstract
The opioid epidemic in the United States has exposed the need for providers to limit opioid dispensing and identify at-risk patients prior to prescribing opioids. With pharmacogenomic testing, clinicians can analyze hundreds of medications—including commonly prescribed opioids—against genetic results to understand and predict risk and response. Moreover, knowledge of genotypic variants and altered function can help decrease trial and error prescribing, identify patients at-risk for adverse drug events, and improve pain control. This patient case demonstrates how pharmacogenomic test results identified drug–gene interactions and provided insight about a patient’s inadequate opioid therapy response. With pharmacogenomic information, the patient’s healthcare team discontinued opioid therapy and selected a more appropriate regimen for osteoarthritis (ie, celecoxib), resulting in improved pain control and quality of life.
Collapse
Affiliation(s)
- Katie Pizzolato
- Tabula Rasa Healthcare, Office of Translational Research and Residency Programs, Moorestown, NJ, 08057, USA
| | - David Thacker
- Tabula Rasa HealthCare, Precision Pharmacotherapy Research and Development Institute, Orlando, FL, 32827, USA
| | | | - Nishita S Amin
- Tabula Rasa Healthcare, Office of Translational Research and Residency Programs, Moorestown, NJ, 08057, USA
| | - Abeer Hanna
- VieCare Butler, Program of All-Inclusive Care for the Elderly (PACE), Butler, PA, 16001, USA
| | - Jacques Turgeon
- Tabula Rasa HealthCare, Precision Pharmacotherapy Research and Development Institute, Orlando, FL, 32827, USA
- Faculty of Pharmacy, Université de Montréal, Montréal, QC, H2L, Canada
| | - Veronique Michaud
- Tabula Rasa HealthCare, Precision Pharmacotherapy Research and Development Institute, Orlando, FL, 32827, USA
- Faculty of Pharmacy, Université de Montréal, Montréal, QC, H2L, Canada
- University of Montreal Hospital Research Center (CRCHUM), Montréal, QC, H2X 0A9, Canada
- Correspondence: Veronique Michaud, Precision Pharmacotherapy Research and Development Institute, 13485 Veterans Way, Orlando, FL, 32827, USA, Tel +856-938-8697, Email
| |
Collapse
|
5
|
Eapen-John D, Mohiuddin AG, Kennedy JL. A potential paradigm shift in opioid crisis management: The role of pharmacogenomics. World J Biol Psychiatry 2022; 23:411-423. [PMID: 34854362 DOI: 10.1080/15622975.2021.2012397] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
Abstract
Pharmacogenetic investigations into the opioid crisis suggest genetic variation could be a significant cause of opioid-related morbidity and mortality. Variability in opioid system genes, including single nucleotide polymorphisms, manifest after pharmacogenetic testing, as previously invisible risk factors for addiction and overdose. Pharmacodynamic genes regulate opioid-sensitive brain networks and neural reward circuitry. Pharmacokinetic genes expressed in drug metabolic pathways regulate blood levels of active vs. inactive opioid metabolites. Elucidating the complex interplay of genetic variations in pharmacokinetic and pharmacodynamic pathways will shed new light on the addictive and toxic properties of opioids. This narrative review serves to promote understanding of key genetic mechanisms affecting the metabolism and actions of opioids, and to explore causes of the recent surge in opioid-related mortality associated with COVID-19. Personalised treatment plans centred around an individual's genetic makeup could make opioid-based pain management and opioid use disorder (OUD) treatments safer and more effective at both the individual and system levels.
Collapse
Affiliation(s)
- David Eapen-John
- Molecular Brain Science, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, Canada.,Institute of Medical Science, University of Toronto, Toronto, Canada
| | - Ayeshah G Mohiuddin
- Molecular Brain Science, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, Canada.,Institute of Medical Science, University of Toronto, Toronto, Canada
| | - James L Kennedy
- Molecular Brain Science, Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, Canada.,Institute of Medical Science, University of Toronto, Toronto, Canada.,Department of Psychiatry, University of Toronto, Toronto, Canada
| |
Collapse
|
6
|
Zobdeh F, Eremenko II, Akan MA, Tarasov VV, Chubarev VN, Schiöth HB, Mwinyi J. Pharmacogenetics and Pain Treatment with a Focus on Non-Steroidal Anti-Inflammatory Drugs (NSAIDs) and Antidepressants: A Systematic Review. Pharmaceutics 2022; 14:1190. [PMID: 35745763 PMCID: PMC9228102 DOI: 10.3390/pharmaceutics14061190] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2022] [Revised: 05/29/2022] [Accepted: 05/30/2022] [Indexed: 11/17/2022] Open
Abstract
Background: This systematic review summarizes the impact of pharmacogenetics on the effect and safety of non-steroidal anti-inflammatory drugs (NSAIDs) and antidepressants when used for pain treatment. Methods: A systematic literature search was performed according to the preferred reporting items for systematic reviews and meta-analysis (PRISMA) guidelines regarding the human in vivo efficacy and safety of NSAIDs and antidepressants in pain treatment that take pharmacogenetic parameters into consideration. Studies were collected from PubMed, Scopus, and Web of Science up to the cutoff date 18 October 2021. Results: Twenty-five articles out of the 6547 initially detected publications were identified. Relevant medication–gene interactions were noted for drug safety. Interactions important for pain management were detected for (1) ibuprofen/CYP2C9; (2) celecoxib/CYP2C9; (3) piroxicam/CYP2C8, CYP2C9; (4) diclofenac/CYP2C9, UGT2B7, CYP2C8, ABCC2; (5) meloxicam/CYP2C9; (6) aspirin/CYP2C9, SLCO1B1, and CHST2; (7) amitriptyline/CYP2D6 and CYP2C19; (8) imipramine/CYP2C19; (9) nortriptyline/CYP2C19, CYP2D6, ABCB1; and (10) escitalopram/HTR2C, CYP2C19, and CYP1A2. Conclusions: Overall, a lack of well powered human in vivo studies assessing the pharmacogenetics in pain patients treated with NSAIDs or antidepressants is noted. Studies indicate a higher risk for partly severe side effects for the CYP2C9 poor metabolizers and NSAIDs. Further in vivo studies are needed to consolidate the relevant polymorphisms in NSAID safety as well as in the efficacy of NSAIDs and antidepressants in pain management.
Collapse
|