Factors Associated with Reinitiation of Statin Treatment in Older Patients with Peripheral Arterial Disease.

BACKGROUND: Long-term persistence represents a basic precondition of successful statin treatment in patients with peripheral arterial disease (PAD). OBJECTIVES: The aims of our study were evaluation of reinitiation in older PAD patients who were non-persistent with statin treatment, and identification of patient-related characteristics associated with the patient's probability of reinitiation. METHODS: Our study cohort included 2977 older patients (≥ 65 years) who were non-persistent with statin treatment in whom PAD was newly diagnosed in 2012. Reinitiation was defined as the first statin prescription recorded after discontinuation. To analyze factors associated with the patient´s probability of reinitiation, Cox regression with time-dependent covariates was applied. RESULTS: After post-discontinuation follow-up of a mean of 27 months, reinitiation of statin treatment was recorded for 1244 (41.8%) patients. Increasing age, Parkinson's disease, being a new statin user (patient in whom statin treatment was initiated in association with PAD diagnosis), general practitioner as the index prescriber who prescribed a statin for the first time after diagnosis of PAD, coadministration of loop diuretics, and longer persistence before discontinuation decreased the patient's likelihood of reinitiation, whereas myocardial infarction during non-persistence, high-intensity statin treatment, and increasing number of medications increased the patient's probability of reinitiation. CONCLUSIONS: In patients with characteristics associated with a lower probability of reinitiation, more concentrated outreach and further evaluation of these groups to identify interventions that might be helpful to encourage reinitiation are needed.

Patient-Associated Characteristics Influencing the Risk for Non-Persistence with Statins in Older Patients with Peripheral Arterial Disease.

BACKGROUND AND OBJECTIVES: Secondary prevention of peripheral arterial disease includes administration of statins regardless of the patient's serum cholesterol level. Our study aimed to identify patient-associated risk factors for statin non-persistence and comparison of the explanatory power of models based on clusters of patient-associated characteristics. METHODS: Our study cohort (n = 8330) was assembled from the database of the largest health insurance provider in the Slovak Republic. Statin users aged ≥ 65 years in whom peripheral arterial disease was diagnosed during 2012 were included. Patients were followed for 5 years; those with a treatment gap period of at least 6 months without statin prescription were classified as "non-persistent". The risk factors for non-persistence were identified within six models (sociodemographic, cardiovascular events, comorbid conditions, statin-related characteristics, cardiovascular co-medication and full model) using Cox regression. The explanatory power of models was assessed using Harrell's C-index. RESULTS: At the end of the follow-up, 35.7% of patients were found to be non-persistent. The full model had the highest explanatory power (C = 0.632). Female sex, atorvastatin and rosuvastatin as initially administered statins, being a new statin user and an increasing co-payment were associated with an increased risk for non-persistence. Increasing age, history of ischaemic stroke, diabetes mellitus, general practitioner as index prescriber, increasing overall number of medications and co-administration of certain cardiovascular co-medications were associated with a lower likelihood for non-persistence. CONCLUSIONS: Patients identified as high risk for non-persistence require special attention aimed at the improvement of their persistence with statin treatment.