BACKGROUND: Adherence to lipid-lowering therapy in clinical practice is less than ideal. Analysis of registry data has indicated that this is associated with poor outcomes. The objective of the present analysis was to assess the impact of high adherence to drug (defined as > 80% of days covered), compared with low adherence to drug (< 50% of days covered) in terms of risk of events and long-term economic consequences. DESIGN: Open-label follow up of a randomised placebo-controlled trial in hypertensive patients. METHODS: Cox proportional hazards and Poisson regression models were used to assess the hazard ratio of patients with high adherence compared with low adherence while controlling for cardiovascular risk. A Markov model was used to predict the long-term costs and health outcomes associated with poor adherence during the follow-up period. RESULTS: Both statistical models indicated that high adherence is associated with improved prognosis [Cox model: 0.75; 95% confidence interval (CI): 0.56-0.98, Poisson model hazard ratio: 0.73; 95% CI: 0.58-0.98]. Discounted at 3.5% per year, the Markov model predicts that as a consequence of higher adherence during the follow-up period, costs would be higher (1689 pounds per patient compared with 1323 pounds per patient) because of higher drug costs, but the projected survival and quality-adjusted survival (QALY) would also be longer (10.83 compared with 10.81 life years and 8.13 compared with 8.11 QALYs). CONCLUSION: Given the higher risk of cardiovascular events associated with low adherence shown here, measures to improve adherence are an important part of the prevention of cardiovascular disease.
RCT Entities:
BACKGROUND: Adherence to lipid-lowering therapy in clinical practice is less than ideal. Analysis of registry data has indicated that this is associated with poor outcomes. The objective of the present analysis was to assess the impact of high adherence to drug (defined as > 80% of days covered), compared with low adherence to drug (< 50% of days covered) in terms of risk of events and long-term economic consequences. DESIGN: Open-label follow up of a randomised placebo-controlled trial in hypertensivepatients. METHODS: Cox proportional hazards and Poisson regression models were used to assess the hazard ratio of patients with high adherence compared with low adherence while controlling for cardiovascular risk. A Markov model was used to predict the long-term costs and health outcomes associated with poor adherence during the follow-up period. RESULTS: Both statistical models indicated that high adherence is associated with improved prognosis [Cox model: 0.75; 95% confidence interval (CI): 0.56-0.98, Poisson model hazard ratio: 0.73; 95% CI: 0.58-0.98]. Discounted at 3.5% per year, the Markov model predicts that as a consequence of higher adherence during the follow-up period, costs would be higher (1689 pounds per patient compared with 1323 pounds per patient) because of higher drug costs, but the projected survival and quality-adjusted survival (QALY) would also be longer (10.83 compared with 10.81 life years and 8.13 compared with 8.11 QALYs). CONCLUSION: Given the higher risk of cardiovascular events associated with low adherence shown here, measures to improve adherence are an important part of the prevention of cardiovascular disease.
Authors: Kamlesh Khunti; Mark D Danese; Lucie Kutikova; David Catterick; Francisco Sorio-Vilela; Michelle Gleeson; Sreenivasa Rao Kondapally Seshasai; Jack Brownrigg; Kausik K Ray Journal: JAMA Netw Open Date: 2018-12-07
Authors: Zoltan Kiss; Laszlo Nagy; Istvan Reiber; György Paragh; Mark Peter Molnar; György Rokszin; Zsolt Abonyi-Toth; Laszlo Mark Journal: Arch Med Sci Date: 2013-05-27 Impact factor: 3.318