Literature DB >> 21923882

Economic impact of potential CYP450 pharmacokinetic drug-drug interactions among chronic low back pain patients taking opioids.

Joseph V Pergolizzi1, Sumedha A Labhsetwar, R Amy Puenpatom, Rami Ben-Joseph, Robert Ohsfeldt, Kent H Summers.   

Abstract

Chronic low back pain (cLBP) patients who take at least 1 CYP450-metabolized opioid analgesic agent concurrent with at least 1 other CYP450-metabolized medication experience a drug-drug exposure (DDE), which puts them at risk for a pharmacokinetic drug-drug interaction (PK DDI). This study compared utilization of healthcare resources and associated payments in cLBP patients with and without incident DDEs with the potential to cause PK DDIs. A retrospective database analysis examined the associated clinical events, healthcare utilization (measured in terms of claims for office visits, outpatient visits, emergency department visits, and hospitalization), and cost to the health plan, as defined as the sum of health plan payments for resources used. Patients were grouped into 2 cohorts by age (those under 65 and those 65 years and over). In the 6 months after exposure, total healthcare payments were significantly higher for DDE patients than those without DDEs (no-DDE), in both in the younger ($7,086, SD = $8,370) and $6,353, SD = $8,352, respectively, P < 0.001) and the older cohorts ($7,806 vs. $7,043, respectively, P = 0.013). Younger and older patients with DDE had significantly higher prescription payments than those without DDE ($2,041, SD = $2,706 vs. $1,565, SD = $2,349, respectively, P < 0.001 for younger and $2,482, SD = $2,481 vs. $2,286, SD = $2,521, respectively, P = 0.044 for older patients). Both older and younger patients with DDE had significantly more claims for office visits and higher associated payments than similar patients without DDE. Patients in the study who experienced DDEs that placed them at risk for PK DDIs had significantly greater utilization rates of healthcare resources and higher associated payments in the 6-month observation period following exposure.
© 2011 The Authors. Pain Practice © 2011 World Institute of Pain.

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Year:  2011        PMID: 21923882     DOI: 10.1111/j.1533-2500.2011.00503.x

Source DB:  PubMed          Journal:  Pain Pract        ISSN: 1530-7085            Impact factor:   3.183


  6 in total

1.  Cytochrome P450 interactions are common and consequential in Massachusetts hospital discharges.

Authors:  T H McCoy; V M Castro; A Cagan; L Snapper; A Roberson; R H Perlis
Journal:  Pharmacogenomics J       Date:  2017-07-11       Impact factor: 3.550

2.  Drug-Drug Interaction Associated with Mold-Active Triazoles among Hospitalized Patients.

Authors:  David Andes; Nkechi Azie; Hongbo Yang; Rachel Harrington; Caroline Kelley; Ruo-Ding Tan; Eric Q Wu; Billy Franks; Rita Kristy; Edward Lee; Nikhil Khandelwal; James Spalding
Journal:  Antimicrob Agents Chemother       Date:  2016-05-23       Impact factor: 5.191

3.  A retrospective, matched cohort study of potential drug-drug interaction prevalence and opioid utilization in a diabetic peripheral neuropathy population initiated on pregabalin or duloxetine.

Authors:  Jeffrey J Ellis; Alesia B Sadosky; Laura L Ten Eyck; Pallavi Mudumby; Joseph C Cappelleri; Lilian Ndehi; Brandon T Suehs; Bruce Parsons
Journal:  BMC Health Serv Res       Date:  2015-04-15       Impact factor: 2.655

4.  Impact of potential pregabalin or duloxetine drug-drug interactions on health care costs and utilization among Medicare members with fibromyalgia.

Authors:  Jeffrey J Ellis; Alesia B Sadosky; Laura L Ten Eyck; Joseph C Cappelleri; Courtney R Brown; Brandon T Suehs; Bruce Parsons
Journal:  Clinicoecon Outcomes Res       Date:  2014-10-14

Review 5.  Opioid therapy pharmacogenomics for noncancer pain: efficacy, adverse events, and costs.

Authors:  Yan Xu; Ana Johnson
Journal:  Pain Res Treat       Date:  2013-09-18

6.  Frequency and clinical relevance of potential cytochrome P450 drug interactions in a psychiatric patient population - an analysis based on German insurance claims data.

Authors:  Julia K Ostermann; Anne Berghöfer; Frank Andersohn; Felix Fischer
Journal:  BMC Health Serv Res       Date:  2016-09-08       Impact factor: 2.655

  6 in total

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