Abstract
Previous observational studies in the US suggest that opioid analgesic use increases the risk of cardiovascular (CV) events. The current study provides additional background event rates for five prespecified CV outcomes of interest in patients from three countries. Three observational cohort studies were conducted in patients from the US (N = 17,604), the UK (N = 9,823), and Germany (N = 9,412). Patients were new opioid users who had undergone ≥6 months of chronic, continuous therapy. De-identified data were collated from electronic healthcare databases in the respective countries. Demographics, clinical characteristics, and opioid use were examined. Overall rates, prevalence rates in patients with established CV disease, and incidence rates in patients without established CV disease were determined for myocardial infarction (MI), stroke, transient ischemic attack, unstable angina, and congestive heart failure (CHF). Cardiovascular disease at baseline was more prevalent in US and German patients. Back pain and depression were prevalent preexisting comorbidities. The majority of patients were using various weak opioids (based on receptor affinities), CV medications, and antidepressants. Overall rates by individual CV outcome per 1,000 patient-years by country were greatest for CHF (US 37.2, 95% CI 24.1-40.5), unstable angina (UK 8.2, 95% CI 7.0-9.6), and stroke (Germany 5.3, 95% CI 4.1-6.7). Overall rates for MI were: US, 10.7 (95% CI 9.1-12.5), UK, 6.7 (95% CI 5.6-8.0), and Germany, 2.7 (95% CI 1.9-3.7). Overall rates for each CV outcome, prevalence rates in patients with preexisting CV disease, and incidence rates in patients without established CV disease differed by country. Rates were higher in patients with preexisting CV disease. CV risk for new opioid users with ≥6 months of therapy was increased in patients with established CV disease compared with those without established CV disease, and the risk for specific outcomes differed by country. Assessment of CV safety events of new therapies introduced to chronic opioid users should consider sample size and population heterogeneity in the design of an observational study.
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