Utilizing Pharmacogenomics Results to Determine Opioid Appropriateness and Improve Pain Management in a Patient with Osteoarthritis

Katie Pizzolato,1 David Thacker,2 Nicole Marie Del Toro-Pagán,1 Nishita S Amin,1 Abeer Hanna,3 Jacques Turgeon,2,4 Veronique Michaud2,4,5

1Tabula Rasa Healthcare, Office of Translational Research and Residency Programs, Moorestown, NJ, 08057, USA; 2Tabula Rasa HealthCare, Precision Pharmacotherapy Research and Development Institute, Orlando, FL, 32827, USA; 3VieCare Butler, Program of All-Inclusive Care for the Elderly (PACE), Butler, PA, 16001, USA; 4Faculty of Pharmacy, Université de Montréal, Montréal, QC, H2L, Canada; 5University 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 [email protected]

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.

Keywords: CYP2D6, CYP2C9, drug–gene interactions, opioids, pain management, pharmacogenomics

Introduction to Patient Case

A 69-year-old patient with polypharmacy and comorbidities presented to her provider with complaints of severe back and knee osteoarthritis pain after failing to achieve adequate relief with tramadol and oxycodone. A pharmacogenomic test was completed to identify underlying genetic variants that may be leading to inadequate pain control.

Introduction

Pain management and its subjectivity pose a unique challenge for clinicians, especially in older patients with multiple comorbidities. For example, while non-steroidal anti-inflammatory drugs (NSAIDs) are first-line treatment for osteoarthritis, they may not be preferred in patients with cardiovascular disease history.1,2 Pain management is more complicated with opioids and providers must be critical when determining the appropriate patients to receive opioids. Providers must incorporate ways to improve medication safety, establish optimal pain regimens, and determine opioid appropriateness.3

Individual response to opioids depends on several factors (eg, genetics, age, comorbidities, concomitant medications). Utilizing personalized medicine can improve medication safety and help pinpoint patients who are at risk for side effects and pharmacotherapy failure.4 Pharmacogenomic (PGx) testing is one tool to help individualize therapy, as PGx information reveals the extent to which gene and subsequent enzyme function may lead to pharmacokinetic or pharmacodynamic changes. These changes can result in increased risk for opioid-related adverse drug events (ADEs), such as respiratory depression and/or pharmacotherapy failure.5,6 Several studies and healthcare settings have observed improvement in pain management with PGx integration and recognized individualized therapy promotes medication safety.3,6 Furthermore, PGx results provide objective information to facilitate conversations between healthcare providers and patients about why opioid therapy may or may not be safe and/or appropriate.7,8

Problems with drug–gene interactions (DGIs) have been well established for analgesics, such as with cytochrome P450 (CYP)2D6 and certain opioids (eg, codeine, tramadol, oxycodone, hydrocodone). DGIs related to CYP2C9 and NSAIDs, such as ibuprofen and celecoxib, have also been extensively studied.9–11 Incorporating PGx results into clinical decision-making decreases medication trial and error, potentially reducing time needed to achieve successful therapy and exposure to inappropriate medications.9,10 This patient case demonstrates how PGx-informed clinical decision-making optimizes pain management and improves patient outcomes by determining opioid appropriateness.

Case Presentation

A 69-year-old female patient with multiple comorbidities and prescribed medications (Table 1) presented to her provider struggling to walk and experiencing unbearable knee and back pain, primarily due to chronic osteoarthritis. The patient was deemed ineligible for NSAID therapy and was prescribed tramadol 50mg more than three years ago for osteoarthritis pain. Tramadol initially provided analgesia, but over time, the patient reported needing tramadol more frequently for pain relief. At the most recent physician visit, the patient rated her pain as severe, with a 10/10 on the numeric rating scale (NRS), despite taking tramadol 50mg four times a day and acetaminophen as needed. The provider discontinued tramadol and prescribed oxycodone 5mg three times per day, instructing the patient to follow up in a few days. The patient experienced some improvement with oxycodone (6/10 NRS). In collaboration with the healthcare team, a PGx test was recommended, and a clinical pharmacist was then consulted to conduct a medication review.

Table 1 Current Patient’s Medication List at the Time of PGx Testing

The clinical pharmacist assessed the patient’s medication regimen using a clinical decision support system (Figure 1) following the results of the PGx test (Table 2), which was analyzed and interpreted by an external PGx vendor, OneOme®.12 The patient was found to be a CYP2D6 intermediate metabolizer (IM) based on the CYP2D6 genotype results (*9|*41).9 CYP2D6 IMs are expected to have an increased risk for pharmacotherapy failure with CYP2D6-activated opioids (eg, tramadol, oxycodone) due to reduced transformation of opioids into their more active metabolites (eg, O-desmethyltramadol, oxymorphone).9,11 At CYP3A4, drug–drug interactions (DDIs) of competitive inhibition of oxycodone perpetrated by coadministration of atorvastatin and amlodipine were identified.13–15 These interactions cause increased plasma concentrations of parent drug, oxycodone, which may result in increased risk for ADEs (eg, constipation, nausea). This case report focuses on medications involved in pain management; however, a summary of the clinical pharmacist’s comprehensive recommendations is in Table 3.

Table 2 Patient’s PGx Results

Table 3 Pharmacist-Led Comprehensive Review for the Patient and Prescriber Response

Figure 1 Summary of CYP450 affinity and metabolic pathways of patient’s medication regimen prior to PGx testing.

Abbreviations: CYP, cytochrome P450; PGx, pharmacogenomics.

Notes: †Only CYP-metabolized oral medications are displayed. ‡Prodrug. Figure adapted from the clinical-decision support system, MedWise®: it shows substances with their differing metabolic pathways and their affinities for the CYP450 isoform (eg, light yellow = weak affinity, dark yellow = moderate affinity).

Given the limited success observed with opioid therapy, the pharmacist evaluated alternative analgesics based on the patient’s pain indication (ie, osteoarthritis), comorbidities, concomitant medications, renal clearance (ie, 66 mL/min), and PGx results. Celecoxib, a COX-2 inhibitor NSAID, is a first-line medication for osteoarthritis and is not metabolized by CYP2D6.16 The clinical pharmacist identified a DGI with CYP2C9 and celecoxib. As a CYP2C9 IM, the patient had an increased risk for celecoxib-related ADEs (eg, altered kidney function, hypertension).17 However, PGx guidelines do not indicate the medication should be avoided.17 The clinical pharmacist recommended discontinuing oxycodone, prescribing celecoxib 100 mg twice a day, and monitoring for efficacy and ADEs.

Recommendations were communicated to the provider and, with patient acceptance, were implemented. During the two-week follow-up, the patient reported success with celecoxib and continued use of topical diclofenac, experiencing no pain (0/10 NRS). The patient also reported an improved quality of life, regaining the ability to walk long distances without pain.

Discussion

Some of the most prescribed opioids (eg, tramadol, oxycodone, hydrocodone) require activation by CYP2D6 to provide adequate pain relief.9,11 In this case, PGx results revealed that the patient is a CYP2D6 IM, explaining why treatment with tramadol 50mg up to 4 times a day for chronic back and knee pain provided almost no pain relief (NRS 10/10, severe pain).

Tramadol is federally listed as a schedule IV-controlled substance; most opioids which are schedule II. Approximately 50% of tramadol undergoes metabolism in the liver via the CYP2D6 enzyme to transform into its active metabolite, O-desmethyltramadol (M1).18,19 O-desmethyltramadol is primarily responsible for analgesic effect, as it has a 200 times greater affinity for the mu-opioid receptor than tramadol.20,21 Although tramadol itself is metabolically active, it exerts more significant effects on serotonin and norepinephrine uptake.20

As a CYP2D6 IM, this patient has less enzyme function compared to normal metabolizers (NMs).22 This patient’s decreased capability to metabolize tramadol resulted in lower plasma concentrations of O-desmethyltramadol and, therefore an increased risk for pharmacotherapy failure.22 Additionally, this resulted in increased plasma concentrations of tramadol, increasing the risk for serotonergic ADEs.20,22 The increased exposure to serotonergic properties is an equally important risk, as this patient was also prescribed sertraline 200mg daily, further increasing the risk for side effects associated with serotonin load.20,21

Oxycodone was prescribed as an alternative opioid after therapy failure with tramadol. Oxycodone also requires CYP2D6 enzyme activity, and only ~10% of the parent drug is transformed into the more potent, active metabolite, oxymorphone.23,24 Oxymorphone affinity for mu-receptors is 60 times higher than oxycodone, but both oxycodone and oxymorphone bind to and activate mu-receptors to provide analgesic effects.9,25

There are limited PGx recommendations regarding CYP2D6 and oxycodone.9,26 Several studies have demonstrated a positive correlation between oxycodone efficacy and oxymorphone concentrations.11,27 These studies demonstrated pharmacokinetics differences in CYP2D6 IMs compared to NMs. IMs are at risk of nonoptimal pain control due to their decreased enzyme function, resulting in lower concentrations of the more active metabolite.11 Furthermore, DDIs identified at CYP3A4 affected oxycodone due to coadministration of competitive substrate inhibitors (atorvastatin and amlodipine).13–15 Approximately 30% of oxycodone is metabolized via CYP3A4 to a non-active metabolite, noroxycodone; however, competitive inhibition could lead to increased plasma concentrations of oxycodone and an increased risk for ADEs (eg, constipation, nausea).24,28,29 Parent drug oxycodone provides partial analgesic effects, and the patient’s slight improvement in pain with oxycodone (NRS 6/10)—as opposed to with tramadol—aligns with available data regarding their pharmacological effects.11,23 However, oxycodone did not provide adequate pain control, and the provider and patient accepted the primary recommendation to discontinue opioid therapy.

To optimize the patient’s pain control, the clinical pharmacist applied the PGx results to potential alternatives. Celecoxib was the best option given the indication for osteoarthritis, high COX-2 selectivity, and lower risk for gastrointestinal issues compared to other NSAIDs (eg, ibuprofen, naproxen).16 Regarding PGx results, PGx-focused guideline recommendations for NSAIDs and CYP2C9 suggest initiating therapy with the lowest recommended dose and carefully monitoring for hypertension and altered kidney function.17 While NSAIDs are first-line therapy for osteoarthritis, they should be used carefully in older adults, as the presence of certain comorbidities (eg, heart failure with reduced ejection fraction) and/or decreased renal function increases the risk for other complications.2 In this case, the patient had controlled hypertension (last measurement 120/70 mmHg) and stable renal function; nonetheless, the importance of monitoring was further emphasized.30 Lastly, while DGIs and DDIs affecting this patient’s analgesics were discussed in detail, other drug interactions were identified by the clinical pharmacist in the comprehensive review, including DGIs with CYP2C19 and sertraline and melatonin. Several recommendations were accepted to mitigate interactions identified by the pharmacist (Table 3).

For those suffering from osteoarthritis pain, especially in the knees, it is common to observe a decline in mobility and ability to complete daily tasks.1 The discontinuation of oxycodone and initiation of celecoxib resulted in positive patient outcomes, supported by the patient’s perceived decrease in pain score to 0 (no pain) when using celecoxib and topical diclofenac for pain management. Furthermore, patient-reported improvement in the distance able to walk reflects improved pain and quality of life. After two weeks of therapy with celecoxib, the patient’s blood pressure and renal function remained stable.

Conclusions

Integrating PGx results into patient care and pain management continues to expand and demonstrate its value by identifying patients at risk for serious medication-related ADEs and who may not benefit from therapy. This patient case highlights how PGx-informed medication review improves pain management, provides explanatory evidence regarding inadequate opioid response, and helps reduce the overutilization of opioids.

Acknowledgments

The authors would like to thank Pamela Dow and Dana Filippoli for their comprehensive review and comments on this manuscript.

Ethics Statement

This material has not been previously published elsewhere and is the authors’ own work. The paper is not under consideration for publication at another journal. The research in this manuscript was conducted under Study ID: 22-12-045-427 at BRANY IRB, New York, USA. Informed consent was provided by the patient for publication of this case report. This case report was approved for publication by Tabula Rasa HealthCare’s Disclosure Committee and Scientific Review Committee. Figures in this manuscript do not require copyright permission from Tabula Rasa HealthCare.

Disclosure

KP, DT, NDTP, NSA, JT, and VM are all employees and shareholders of Tabula Rasa Healthcare. VM and JT report a patent 11364856 issued to TRHC, a patent 10890577 issued to TRHC. The authors report no other conflicts of interest in this work.

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