Title

Effects of Buprenorphine and Methadone on Hypertension in Patients with Opioid Dependence: a Randomized Clinical Trial Study

Document Type

Presentation

Publication Date

4-11-2017

Date Range

04/11/2017-04/12/2017

Description

Background: The misuse and addiction to opioids are one of the major health and social problem that is associated with an increase in morbidity and mortality. Both Buprenorphine (BUP) and Methadone (MET) are FDA-approved treatments for opioid dependence. This longitudinal study is to determine the effects of BUP and MET on hypertension in patients with opioid dependence using a Generalized Estimating Equation(GEE) Model. Methods: The data is from National Drug Abuse Treatment Clinical TrialsNetwork (CTN) protocol CTN-0027. This is a randomized study of 1,934 opioid dependence participants seeking treatment that followed for up to 32 weeks. A total of1,284 males and 631 females participated at the Baseline (visit1) of the study. At the endof 32 weeks (10 visits), 499 males and 243 female patients completed the study. Blood pressure of all the patients was checked at every visit beginning visit 1 to visit 10. For this analysis, the dependent variable was hypertension which was defined as having asystolic blood pressure higher than 140 mmHg and/or a diastolic blood pressure higher than 90 mmHg. These participants were randomly assigned to receive BUP (n= 740) or MET (n= 529). The GEE model with exchangeable correlation was used to determine the efficacy of both the drugs on hypertension. The analysis was performed using PROCGENMOD in SAS 9.4. Results: Time increased the odds of hypertension (adjusted odds ratio (aOR): 1.04, 95% confidence interval (CI): 1.02-1.06, pConclusion: Findings suggest that BUP had a slightly less chance of causing hypertension among patients with opioid dependence comparing with MET controlling for other risk factors, but neither one of Page 54 2017 Appalachian Student Research Forum them had any significant effect on hypertension among patients with opioid dependence. Further analysis will be essential to detect gender x treatment interaction.

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