Literature DB >> 27042140

The MEDD myth: the impact of pseudoscience on pain research and prescribing-guideline development.

Jeffrey Fudin1, Jacqueline Pratt Cleary2, Michael E Schatman3.   

Abstract

Entities:  

Year:  2016        PMID: 27042140      PMCID: PMC4809343          DOI: 10.2147/JPR.S107794

Source DB:  PubMed          Journal:  J Pain Res        ISSN: 1178-7090            Impact factor:   3.133


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With the opioid-misuse and -abuse problem on the rise, pain practitioners and lawmakers are scrambling for strategies to help mitigate opioid risks. Approaches include opioid-treatment agreements, urine drug testing, prescription-monitoring programs, assorted validated risk-assessment tools for abuse/misuse and opioid-induced respiratory depression (OIRD), biopsychosocial support, and other strategies.1–3 Nonopioid pain therapies should be considered and maximized prior to initiating opioid treatment; however, in some cases opioids are the optimal choice for both noncancer and cancer-related pain syndromes.4 Aside from these strategies to curtail a number of opioid-associated risks, the professional literature ubiquitously employs morphine-equivalent daily dose (MEDD) and other comparable acronyms to attribute escalating risks based on overall daily opioid dose.1,4,5 One maneuver that is frequently endorsed to avert OIRD is daily opioid-dose reduction measured by MEDD.6–8 Since potency, receptor-binding affinity, physical tolerance, and various pharmacokinetic attributes differ among opioids, the concept of MEDD was employed to justify transitioning from a currently prescribed opioid to one or more opioid “equivalents”.9 However, the defined daily dosage (DDD) of one opioid does not necessarily exhibit the same effects of the DDD of another opioid. This distinction then creates a problem clinically when opioid consumption is being considered. Svedsen et al,9 for example, conducted an analysis comparing DDD and oral morphine equivalent (OMEQ). It should be noted, however, that due to the variations in equivalence calculators and numerous sources having different potency-equivalent estimators, there were several identified limitations to the concept of OMEQ. The authors excluded methadone altogether, due to conversion issues. Nevertheless, methadone is included precipitously throughout the literature as part of MEDD, and has also been attributed to an elevated risk level aside from its calculated MEDD.8 Svedsen et al determined that the range of equianalgesic ratios varies dramatically between certain opioids.9 For example, when converted to morphine equivalents, fentanyl’s conversion ranged from 68 to 150 mg, and buprenorphine ranged from 33.3 to 60 mg. The authors demonstrated several of the concerns with variations in using OMEQ, and raised the question of why OMEQ is even the standard conversion cited by the medical literature and clinicians. Considering the plethora of literature that relies on MEDD to assign opioid and public health risks, as well as to study various opioid-prescribing trends, we question the validity of MEDD as a justifiable parameter on which to rely so heavily. In doing so, we searched the literature for development or validity of daily morphine equivalent using the search terms “morphine equivalent daily dose (MEDD)”, “oral morphine equivalent (OMEQ)”, “equianalgesic opioid dose”, and “morphine equivalents (MEQs)”. Information sources included Medline via PubMed, Access Medicine, CINAHL, Ovid, the National Guideline Clearing House, Google, Google Scholar, Medscape, and eMedicine. Equianalgesic dose was defined as a dose at which two opioids (at a steady state) provided approximately the same pain relief.10 Scant data resulted from this search relating to the initial concept of daily morphine equivalence; however, numerous publications and studies revealed flaws in this widely accepted standard of measurement. Nuckols et al conducted a study in 2014, the purpose of which was to compare and contrast the existing guidelines on the use of opioids for chronic pain.11 A total of 13 guidelines were considered eligible for the study. Of the 13 guidelines considered, four determined “high” doses to be greater than 200 mg MEDD. These claims were made on the basis of randomized controlled trials demonstrating pain control achieved at lower doses and observational studies revealing increased adverse events at higher doses. The American Society of Interventional Pain Physicians 2012 guidelines recommend a dosage limit of 90 mg MEDD, based on observational studies detecting an increase in overdoses with greater than 100 mg of morphine equivalent per day used. Eight of the guidelines recommended that higher doses (not specified) should be used with caution. The authors also noted that most guideline recommendations are supported only by observational data or expert recommendations.9,7,12–14 Nuckols et al concluded that of the 13 guidelines discussed, there was no consensus as to what actually constitutes a “morphine equivalent”.11 A significant problem with the concept of MEDD is the lack of a universally accepted opioid-conversion method.15 A survey was conducted asking pharmacists, physicians, nurse practitioners, and physicians’ assistants to estimate daily morphine equivalents using their reference of choice to convert hydrocodone 80 mg, fentanyl transdermal patches 1,800 µg/day (equal to 75 µg/hour), methadone 40 mg, oxycodone 120 mg, and hydromorphone 48 mg. A total of 319 respondents that were included in the final analysis had a variety of responses, but the most striking were the standard deviations of fentanyl MEDD of ±124 mg MEDD and methadone of ±166 mg MEDD. This study illustrated that utilization of various dosage-conversion tablets and equianalgesic ratios that have been published could lead to dramatic underdosing or fatal overdosing in some cases. In 2014, Shaw and Fudin conducted a survey comparing various online opioid dose-conversion tools and found a −55% to +242% variation across eight opioid-conversion calculators.16 The standard deviations in these two studies alone exceeded many of the MEDD maximums that several states have employed to trigger consultation from a certified pain expert.8,17–19 These studies alone unequivocally disqualify the validity of embracing MEDD to assess risk in any meaningful statistical way. Outside of MEDD calculations, there are several factors that also require consideration, but that remain largely ignored. These include patient-specific attributes, such as pharmacogenetics, organ dysfunction, overall pain control, drug tolerance, drug–drug interactions, drug–food interactions, patient age, and body surface area.15 The bottom line is that as the scientific concepts upon which prescribing guideline authors depend are flawed and invalid, so are the guidelines themselves. As a result, we posit that these guidelines are disingenuous and highly unethical. Opiate overdoses unfortunately can occur at any dose, and patients are at risk on even low-dose opioids. Zedler et al developed a risk index for OIRD in the veteran population. This validated risk tool illustrated that in veteran populations, even a daily morphine equivalence of 20 mg/day equates to an increase in OIRD.20 Greater risk of OIRD is associated with higher daily morphine equivalence; however, Dasgupta et al concluded that dose-dependent opioid-overdose risk among patients did not have a distinct risk threshold.21 While Zedler et al’s validated multivariate linear regression model for OIRD clearly established elevated risks for patients with comorbid psychiatric illness, end-organ dysfunction, and more, these items are inherently ignored when establishing state and national guidelines that habitually rely only upon MEDD. These important comorbid liabilities considered in the Risk Index for Serious Prescription Opioid-Induced Respiratory Depression or Overdose (RIOSORD) are important parameters that unjustifiably have lacked consideration.20 Moreover, if we do rely on drug therapy alone, it is clear that the majority of opioid-related deaths are attributable to a combination of opioids plus sedative hypnotics and/or alcohol.21 If we accept this as fact, assigned risks should be based on an opioid:sedative hypnotic ratio rather than opioids alone. The difficulty here is that elevated risks associated with sedating drugs, such as alcohol, benzodiazepines, imidazopyridines, pyrazolopyrimidines, cyclopyrrolones, various other skeletal muscle relaxants, such as carisoprodol and meprobamate, antidepressants, antipsychotics, anticonvulsants, antihistamines, and many others, have unique inherent risks as single agents. However, while many of these agents are ordinarily prescribed concomitantly, minimal attention has been attributed to their combined risks, most probably because of this unpredictability. As a final point, we believe that it is important to address the continued utilization of MEDD as a dependent variable in pain research. A PubMed search of recent publications indicates the continued use of this archaic concept in studies of both cancer and noncancer pain.22,23 Unlike the zealots who are heavily responsible for recent opioid-prescribing guidelines and trends, we do not necessarily believe that researchers who continue to rely upon the concept of MEDD are being disingenuously agenda-driven in doing so. Rather, researchers’ use of MEDD continues to be commonplace, simply because doing so has been conveniently accepted rather than methodically questioned. It is easier to ignore pharmacogenomics and individualized therapy, and “lump” all opioids and patients together based on the denominator of MEDD, as opposed to comparing the impact of an intervention on individual consumption of opioids, such as morphine, fentanyl, and methadone. However, just as prescribing guidelines are based on flawed formulas and evidence, invalid concepts can make research invalid. We are thus compelled to consider whether outcome research that continues to rely upon the concept of MEDD is also invalidated by such. Our hope as researchers is that our colleagues will acknowledge this imbroglio and convert their processes of outcome research in a manner that will produce more valid and meaningful results for individual patients, rather than meaningless cohorts. Single-dose studies, expert opinion, and observations are largely the source from which equianalgesic tables are derived.10,24 With the exception of methadone conversions, published studies have been conducted in noncancer patients and have not accounted for inter- and intrapatient variability. Based on the marked variability of dosing conversions from one opioid to another, the lack of a distinct risk threshold, and various patient variabilities, the concepts of MEDD and daily limits are grossly flawed. How any agency, clinician, or lawmaker can claim a daily limit on total morphine equivalence and/or dispensed dosage units is mind-boggling when there is obviously no accurate, validated, or universally accepted way to calculate total MEDD. Tragically, this is what the United States Centers for Disease Control and Prevention (CDC) Guideline for Prescribing Opioids for Chronic Pain25 has done. Simply put, it is scientifically, ethically, and morally inexplicable. Therefore, the flawed concept of MEDD should not necessarily be used to guide clinicians when adjusting opioid doses or rotating from one to another. In our opinion, impressionist lawmakers and antiopioid zealots are basing clinical policy decisions on flawed concepts that ultimately could adversely affect positive outcomes for legitimate pain patients. Let us hope that pain researchers will lead the way in developing a much-needed and ethical paradigmatic revision, as the MEDD myth must be dispelled.
  12 in total

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Journal:  Pain Med       Date:  2012-03-28       Impact factor: 3.750

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Review 3.  Opioid prescribing: a systematic review and critical appraisal of guidelines for chronic pain.

Authors:  Teryl K Nuckols; Laura Anderson; Ioana Popescu; Allison L Diamant; Brian Doyle; Paul Di Capua; Roger Chou
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4.  CDC Guideline for Prescribing Opioids for Chronic Pain - United States, 2016.

Authors:  Deborah Dowell; Tamara M Haegerich; Roger Chou
Journal:  MMWR Recomm Rep       Date:  2016-03-18

Review 5.  Chronic opioid use and central sleep apnea: a review of the prevalence, mechanisms, and perioperative considerations.

Authors:  Denis Correa; Robert J Farney; Frances Chung; Arun Prasad; David Lam; Jean Wong
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6.  Clinical guidelines for the use of chronic opioid therapy in chronic noncancer pain.

Authors:  Roger Chou; Gilbert J Fanciullo; Perry G Fine; Jeremy A Adler; Jane C Ballantyne; Pamela Davies; Marilee I Donovan; David A Fishbain; Kathy M Foley; Jeffrey Fudin; Aaron M Gilson; Alexander Kelter; Alexander Mauskop; Patrick G O'Connor; Steven D Passik; Gavril W Pasternak; Russell K Portenoy; Ben A Rich; Richard G Roberts; Knox H Todd; Christine Miaskowski
Journal:  J Pain       Date:  2009-02       Impact factor: 5.820

7.  Cohort Study of the Impact of High-Dose Opioid Analgesics on Overdose Mortality.

Authors:  Nabarun Dasgupta; Michele Jonsson Funk; Scott Proescholdbell; Annie Hirsch; Kurt M Ribisl; Steve Marshall
Journal:  Pain Med       Date:  2016-01       Impact factor: 3.750

8.  Opioid equianalgesic tables: are they all equally dangerous?

Authors:  Philip E Shaheen; Declan Walsh; Wael Lasheen; Mellar P Davis; Ruth L Lagman
Journal:  J Pain Symptom Manage       Date:  2009-09       Impact factor: 3.612

9.  The opioid rotation ratio of strong opioids to transdermal fentanyl in cancer patients.

Authors:  Akhila Reddy; Supakarn Tayjasanant; Ali Haider; Yvonne Heung; Jimin Wu; Diane Liu; Sriram Yennurajalingam; Suresh Reddy; Maxine de la Cruz; Eden Mae Rodriguez; Jessica Waletich; Marieberta Vidal; Joseph Arthur; Carolyn Holmes; Kimmie Tallie; Angelique Wong; Rony Dev; Janet Williams; Eduardo Bruera
Journal:  Cancer       Date:  2015-10-09       Impact factor: 6.860

10.  Development of a Risk Index for Serious Prescription Opioid-Induced Respiratory Depression or Overdose in Veterans' Health Administration Patients.

Authors:  Barbara Zedler; Lin Xie; Li Wang; Andrew Joyce; Catherine Vick; Janet Brigham; Furaha Kariburyo; Onur Baser; Lenn Murrelle
Journal:  Pain Med       Date:  2015-06-05       Impact factor: 3.750

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Review 2.  Rethinking "doing well" on chronic opioid therapy.

Authors:  David N Juurlink
Journal:  CMAJ       Date:  2017-10-02       Impact factor: 8.262

3.  Framing of the opioid problem in cancer pain management in Canada.

Authors:  R Asthana; S Goodall; J Lau; C Zimmermann; P L Diaz; A B Wan; E Chow; C De Angelis
Journal:  Curr Oncol       Date:  2019-06-01       Impact factor: 3.677

4.  Medicate or Meditate? Greater Pain Acceptance is Related to Lower Pain Medication Use in Persons With Chronic Pain and Spinal Cord Injury.

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Journal:  Clin J Pain       Date:  2018-04       Impact factor: 3.442

5.  Craving of prescription opioids among veterans with chronic pain.

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Journal:  Pain       Date:  2022-01-28       Impact factor: 7.926

Review 6.  Are Prescription Opioids Driving the Opioid Crisis? Assumptions vs Facts.

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Journal:  Pain Med       Date:  2018-04-01       Impact factor: 3.750

7.  Manifestation of Borderline Personality Symptomatology in Chronic Pain Patients Under Stress: An Understated and Exacerbated Consequence of the COVID-19 Crisis.

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Journal:  J Pain Res       Date:  2020-06-15       Impact factor: 3.133

8.  A Large-Scale Observational Study on the Temporal Trends and Risk Factors of Opioid Overdose: Real-World Evidence for Better Opioids.

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9.  Misinterpretation of the "Overdose Crisis" Continues to Fuel Misunderstanding of the Role of Prescription Opioids.

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Review 10.  Practical Advices for Treating Chronic Pain in the Time of COVID-19: A Narrative Review Focusing on Interventional Techniques.

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