Adherence to statins in primary prevention: yearly adherence changes and outcomes

A comparison of methods for the measurement of adherence to antihypertensive multidrug therapy and the clinical consequences: a retrospective cohort study using the Korean nationwide claims database

OBJECTIVES

In observational studies, the methods used to measure medication adherence may affect assessments of the clinical outcomes of drug therapy. This study estimated medication adherence to multidrug therapy in patients with hypertension using different measurement methods and compared their impacts on clinical outcomes.

METHODS

This was a retrospective cohort study using the Korean National Health Insurance Service-National Sample Cohort database (2006-2015). Adults diagnosed with hypertension who initiated multidrug antihypertensive therapy in the index year 2007 were included. Adherence was defined as over 80% compliance. Adherence to multidrug antihypertensive therapy was measured in 3 ways using the proportion of days covered (PDC) with 2 approaches to the end-date of the study observations: PDC with at least one drug (PDCwith≥1), PDC with a duration weighted mean (PDCwm), and the daily polypharmacy possession ratio (DPPR). The primary clinical outcome was a composite of cardiovascular and cerebrovascular disease-specific hospitalizations or all-cause mortality.

RESULTS

In total, 4,226 patients who initiated multidrug therapy for hypertension were identified. The mean adherence according to the predefined measurements varied from 72.7% to 79.8%. Non-adherence was associated with an increased risk of a primary outcome. The hazard ratios (95% confidence intervals, CIs) primary outcomes varied from 1.38 (95% CI, 1.19 to 1.59) to 1.44 (95% CI, 1.25 to 1.67).

CONCLUSIONS

Non-adherence to multidrug antihypertensive therapy was significantly associated with an increased risk of a primary clinical outcome. Across the varying estimates based on different methods, medication adherence levels were similar. These findings may provide evidence to support decision-making when assessing medication adherence.

Towards better reporting of the Proportion of Days Covered method in cardiovascular medication adherence: A scoping review and new tool TEN-SPIDERS

Although medication adherence is commonly measured in electronic datasets using the proportion of days covered (PDC), no standardized approach is used to calculate and report this measure. We conducted a scoping review to understand the approaches taken to calculate and report the PDC for cardiovascular medicines to develop improved guidance for researchers using this measure. After prespecifying methods in a registered protocol, we searched Ovid Medline, Embase, Scopus, CINAHL Plus and grey literature (1 July 2012 to 14 December 2020) for articles containing the terms “proportion of days covered” and “cardiovascular medicine”, or synonyms and subject headings. Of the 523 articles identified, 316 were reviewed in full and 76 were included (93% observational studies; 47% from the USA; 2 grey literature articles). In 45 articles (59%), the PDC was measured from the first dispensing/claim date. Good adherence was defined as 80% PDC in 61 articles, 56% of which contained a rationale for selecting this threshold. The following parameters, important for deriving the PDC, were often not reported/unclear: switching (53%), early refills (45%), in‐hospital supplies (45%), presupply (28%) and survival (7%). Of the 46 articles where dosing information was unavailable, 59% reported how doses were imputed. To improve the transparent and systematic reporting of the PDC, we propose the TEN‐SPIDERS tool, covering the following PDC parameters: Threshold, Eligibility criteria, Numerator and denominator, Survival, Presupply, In‐hospital supplies, Dosing, Early Refills, and Switching. Use of this tool will standardize reporting of the PDC to facilitate reliable comparisons of medication adherence estimates between studies.

Use of Statins in Kidney Transplant Recipients in Norway

Kidney transplant recipients (KTRs) experience increased risk of cardiovascular disease. Guidelines recommend HMG-CoA reductase inhibitor (statin) therapy when tolerated. We aimed to study changes in the prescription of statins and patients’ adherence to treatment over time. A population-based observational study utilizing linked data from the Norwegian Renal Registry (national coverage of 99.9%) and the Norwegian Prescription Database was performed. Data from a total of 2250 first KTRs were included (mean age—54 years, 69% men). Dispensed prescriptions of statins and immunosuppressants for the period 2004–2016 for all first KTRs engrafted in the period 2005–2015 were analyzed. Seventy-two percent received statins the first year after kidney transplantation and the proportion increased with age. The proportion receiving a statin varied according to the time frame of transplantation (77% in 2005–2010 vs. 66% in 2012–2015). Among new users of statins, 82% of the patients were adherent both the second and third year after kidney transplantation, while the corresponding figure for those already receiving statins before transplantation was 97%. Statin continuation rates in KTRs were high. In conclusion, our findings show a slightly lower overall proportion of patients receiving statins after kidney transplants than the national target level of 80%. The proportion of statin users increased with the age of the KTRs but showed a decreasing trend as time progressed.

Evaluating the Impact of a Digital Nutrition Platform on Cholesterol Levels in Users With Dyslipidemia: Longitudinal Study

Background

A strong association exists between consuming a healthy diet and lowering cholesterol levels among individuals with high cholesterol. However, implementing and sustaining a healthy diet in the real world is a major challenge. Digital technologies are at the forefront of changing dietary behavior on a massive scale, as they can reach broad populations. There is a lack of evidence that has examined the benefit of a digital nutrition intervention, especially one that incorporates nutrition education, meal planning, and food ordering, on cholesterol levels among individuals with dyslipidemia.

Objective

The aim of this observational longitudinal study was to examine the characteristics of people with dyslipidemia, determine how their status changed over time, and evaluate the changes in total cholesterol, high-density lipoprotein cholesterol (HDL-C), low-density lipoprotein cholesterol (LDL-C), non-HDL-C, and triglycerides among individuals with elevated lipids who used Foodsmart, a digital nutrition platform that integrates education, meal planning, and food ordering.

Methods

We included 653 adults who used Foodsmart between January 2015 and February 2021, and reported a lipid marker twice. Participants self-reported age, gender, weight, and usual dietary intake in a 53-item food frequency questionnaire, and lipid values could be provided at any time. Dyslipidemia was defined as total cholesterol ≥200 mg/dL, HDL-C ≤40 mg/dL, LDL-C ≥130 mg/dL, or triglycerides ≥150 mg/dL. We retrospectively analyzed distributions of user characteristics and their associations with the likelihood of returning to normal lipid levels. We calculated the mean changes and percent changes in lipid markers among users with elevated lipids.

Results

In our total sample, 54.1% (353/653) of participants had dyslipidemia at baseline. Participants with dyslipidemia at baseline were more likely to be older, be male, and have a higher weight and BMI compared with participants who had normal lipid levels. We found that 36.3% (128/353) of participants who had dyslipidemia at baseline improved their lipid levels to normal by the end of follow-up. Using multivariate logistic regression, we found that baseline obesity (odds ratio [OR] 2.57, 95% CI 1.25-5.29; P=.01) and Nutriscore (OR 1.04, 95% CI 1.00-1.09; P=.04) were directly associated with achieving normal lipid levels. Participants with elevated lipid levels saw improvements as follows: HDL-C increased by 38.5%, total cholesterol decreased by 6.8%, cholesterol ratio decreased by 20.9%, LDL-C decreased by 12.9%, non-HDL-C decreased by 7.8%, and triglycerides decreased by 10.8%.

Conclusions

This study characterized users of the Foodsmart platform who had dyslipidemia and found that users with elevated lipid levels showed improvements in the levels over time.

Statin adherence is lower in primary than secondary prevention: A national follow-up study of new users

BACKGROUND

Maintaining adherence to statins reduces the risk of an initial cardiovascular disease (CVD) event in high-risk individuals (primary prevention) and additional CVD events following the first event (secondary prevention). The effectiveness of statin therapy is limited by the level of adherence maintained by the patient. We undertook a nationwide study to compare adherence and discontinuation in primary and secondary prevention patients.

METHODS

Dispensing data from New Zealand community pharmacies were used to identify patients who received their first statin dispensing between 2006 and 2011. The Medication Possession Ratio (MPR) and proportion who discontinued statin medication was calculated for the year following first statin dispensing for patients with a minimum of two dispensings. Adherence was defined as an MPR ≥ 0.8. Previous CVD was identified using hospital discharge records. Multivariable logistic regression was used to control for demographic and statin characteristics.

RESULTS

Between 2006 and 2011 289,666 new statin users were identified with 238,855 (82.5%) receiving the statin for primary prevention compared to 50,811 (17.5%) who received it for secondary prevention. The secondary prevention group was 1.55 (95% CI 1.51-1.59) times as likely to be adherent and 0.67 (95% CI 0.65-0.69) times as likely to discontinue statin treatment than the primary prevention group. An early gap in statin coverage increased the odds of discontinuing statin treatment.

CONCLUSION

Adherence to statin medication is higher in secondary prevention than primary prevention. Within each group, a range of demographic and treatment factors further influences adherence.

Adherence to statins and its impact on clinical outcomes: a retrospective population-based study in China

Background

While the benefit of adherence to statins on clinical outcomes has been proved, this benefit may be heterogeneous among patients who initiated statins for primary or secondary prevention purpose. This study aimed to investigate the impact of statin adherence on clinical outcomes among patients who initiated statins for primary and secondary prevention in China.

Methods

Adult patients in Tianjin Urban Employee Basic Medical Insurance database who initiated ≥2 prescriptions of statins from 2012 through 2013 were included and grouped into primary and secondary prevention subgroups according to their cardiovascular diseases (CVD) history during the prior 12-month baseline period. Proportion of days covered (PDC) was used to measure statin adherence in the initial 12-month follow-up. Clinical outcomes were measured by the incidence of major adverse cardiovascular events (MACE) during the 13th–24th months follow-up, and were compared between the patients with PDC ≥ 0.5 and patients with PDC < 0.5 using Cox regression models in primary and secondary prevention subgroups. Sensitivity analyses were conducted in propensity score matched groups.

Results

99,655 patients were finally included. The mean (SD) PDC was 0.19 (0.15) in primary prevention subgroup (N = 34,372), with 5.4% patients had PDC ≥ 0.5. The patients with PDC ≥ 0.5 had a 37% reduced risk of MACE compared with patients with PDC < 0.5 (Unadjusted incidence rate of MACE: 1.1% vs. 1.4%; all-adjusted HR = 0.63; 95% CI, 0.41–0.98). While, no significant difference was observed in the secondary prevention subgroup (N = 65,283) between patients with PDC ≥ 0.5 and patients with PDC < 0.5 (Unadjusted incidence rate of MACE: 4.6% vs. 2.8%; all-adjusted HR = 1.08, 95% CI, 0.92–1.28). These findings were confirmed by the sensitivity analyses in propensity score matched groups.

Conclusions

Statin adherence was very poor in China, and statin adherence is associated with decreased risk of MACE in patients for primary prevention, while further exploration is needed for secondary prevention.

Statin therapy in athletes and patients performing regular intense exercise - Position paper from the International Lipid Expert Panel (ILEP)

Acute and chronic physical exercises may enhance the development of statin-related myopathy. In this context, the recent (2019) guidelines of the European Society of Cardiology (ESC) and the European Atherosclerosis Society (EAS) for the management of dyslipidemias recommend that, although individuals with dyslipidemia should be advised to engage in regular moderate physical exercise (for at least 30 min daily), physicians should be alerted with regard to myopathy and creatine kinase (CK) elevation in statin-treated sport athletes. However it is worth emphasizing that abovementioned guidelines, previous and recent ESC/EAS consensus papers on adverse effects of statin therapy as well as other previous attempts on this issue, including the ones from the International Lipid Expert Panel (ILEP), give only general recommendations on how to manage patients requiring statin therapy on regular exercises. Therefore, these guidelines in the form of the Position Paper are the first such an attempt to summary existing, often scarce knowledge, and to present this important issue in the form of step-by-step practical recommendations. It is critically important as we might observe more and more individuals on regular exercises/athletes requiring statin therapy due to their cardiovascular risk.

Achievement of the low-density lipoprotein cholesterol goal among patients with dyslipidemia in South Korea

BACKGROUND

It is important to achieve the low-density lipoprotein cholesterol (LDL-C) goal recommended by clinical guidelines in managing the risk of cardiovascular (CV) events, however, the current management of LDL-C in actual clinical settings is suboptimal. We examined the LDL-C level among patients with dyslipidemia against the 2015 Korean guidelines, the crude rates of CV events based on LDL-C goal achievement, and the factors associated with LDL-C goal achievement.

METHODS

This was a retrospective cohort study using the National Health Insurance Service-National Health Screening Cohort (NHIS-HEALS) database from 2006 to 2013. Patients who had a health examination with LDL-C measurement between January 1, 2007, and December 31, 2011 were identified. Patients were required to have at least one diagnosis of dyslipidemia during the 1 year before the index date, defined as the first date of LDL-C measurement. The 2015 Korean guidelines were used to measure LDL-C goal achievement based on the CV risk level. Crude CV event rates were calculated for total and individual CV events as the number of events divided by person-years (PYs) during the follow-up period. CV events included acute coronary syndrome, ischemic stroke, peripheral artery disease, CV death, and all-cause death. Factors associated with LDL-C goal achievement were assessed using logistic regression.

RESULTS

In the NHIS-HEALS database, 69,942 patients met the eligibility criteria: 36.7%, 22.5%, 20.1%, and 20.6% were among the very high-, high-, moderate-, and low-risk groups for the CV events, respectively, as defined by the 2015 Korean guidelines. Approximately half of the patients with dyslipidemia (47.6%) achieved their recommended LDL-C goal, but the achievement rates were substantially different across CV risk levels (17.6%, 47.2%, 66.9%, and 82.4% for very high-, high-, moderate-, and low-risk groups, respectively; P<0.0001). The crude event rate of total CV events during the follow-up period in the LDL-C goal non-achievers was higher than that in the LDL-C goal achievers (24.35/100 PYs vs. 11.93/100 PYs; P<0.0001). LDL-C goal achievement was significantly associated with patient characteristics, including age, sex, body mass index, lipid-modifying therapy, and CV risk level.

CONCLUSIONS

In South Korea, LDL-C goal achievement among patients with very high or high CV risk was suboptimal. Patients who did not achieve the goal showed a higher rate of CV events during the follow-up period than patients who achieved the goal. LDL-C management strategies should be highlighted in dyslipidemia patients who are less likely to achieve the goal, such as female, overweight or obese patients, patients not adherent to statin, or patients with very high or high CV risk.

Incidence of statin use in older adults with and without cardiovascular disease and diabetes mellitus, January 2008- March 2018

Background

Data from randomized controlled trials and observational studies on older adults who take statins for primary prevention of atherosclerotic cardiovascular disease are limited. To determine the incidence of statin use in older adults with and without cardiovascular disease (CVD) and/or diabetes (DM), we conducted a descriptive observational study.

Methods

The cohort consisted of health plan members in the NIH Collaboratory Distributed Research Network aged >75 years who had continuous drug and medical benefits for ≥183 days during the study period, January 1, 2008- March 31, 2018. We defined DM and CVD using diagnosis codes, and identified statins using dispensing data. Statin use was considered incident if a member had no evidence of statin exposure in the claims during the previous 183 days, and the use was considered long-term if statins were supplied for ≥180 days. Incidence rates were reported among members with and without CVD and/or diabetes, and stratified by year, sex, and age group.

Results

Among 757,569 eligible members, 109,306 older adults initiated statins and 54,624 became long-term users. Health plan members with CVD had the highest incidence of statin use (143.9 initiators per 1,000 member-years for CVD & DM; 114.5 initiators per 1,000 member-years for CVD & No DM). Among health plan members without CVD, those with DM had rates of statin use that were over two times higher than members without DM (76.1 versus 34.5 initiators per 1,000 member-years, respectively). Statin initiation remained steady throughout 2008–2016, was slightly higher in males, and declined with increasing age.

Conclusion

Incidence of statin use varied by CVD and DM comorbidity, and was lowest among those without CVD. These results highlight the potential clinical equipoise to conduct large pragmatic clinical trials to generate evidence that could be used to inform future blood cholesterol guidelines.

Interrupted time series analysis on first cardiovascular disease hospitalization for adherence to lipid-lowering therapy

PURPOSE

We analysed lipid-lowering medication adherence before and after the first hospitalization for cardiovascular disease (CVD) to explore the influence hospitalization has on patient medication adherence.

METHODS

We extracted a sub-cohort for analysis from 313,207 patients who had primary CVD risk assessment. Adherence was assessed as proportion of days covered (PDC) ≥ 80% based on community dispensing records. Adherence in the 4 quarters (360 days) before the first CVD hospitalization and 8 quarters (720 days) after hospital discharge was assessed for each individual in the sub-cohort. An interrupted time series design using generalized estimating equations was applied to compare the differences of population-level medication adherence rates before and after the first CVD hospitalization.

RESULTS

Overall, a significant improvement in medication adherence rate from before to after the hospitalization was observed (odds ratio (OR) 2.49 [1.74-3.57]) among the 946 patients included in the analysis. Patients having diabetes history had a higher OR of adherence before the hospitalization than patients without diabetes (1.50 [1.03-2.22]) but no significant difference after the hospitalization (OR 1.13 [0.89-1.43]). Before the first hospitalization, we observed that quarterly medication adherence rate was steady at around 55% (OR 0.97 [0.93-1.01), whereas the trend in adherence over the post-hospitalization period decreased significantly per quarter (OR 0.97 [0.94-0.99]).

CONCLUSIONS

Patients were more likely to adhere to lipid-lowering therapy after experiencing a first CVD hospitalization. The change in medication adherence rate is consistent with patients having heightened perception of disease severity following the hospitalization.

The importance of cholesterol follow-up testing under current statin treatment guidelines

Under "treat to risk" goals, low-density (LDL)-cholesterol follow-up measurements monitor statin compliance rather than titration to target levels, however, there is little evidence showing that more-frequent monitoring reduces LDL-cholesterol. We therefore tested whether frequency of blood tests significantly predicted lipoprotein improvements in a large anonymized clinical laboratory database. Differences (∆ ± SE) in total cholesterol, triglycerides, and LDL-cholesterol between baseline and follow-up visits were calculated for 97,548 men and 110,424 women whose physicians sent blood to Boston Heart Diagnostics for analysis between 2010 and 2017. When adjusted for age and follow-up duration, plasma concentration changes per each follow-up measurement in men and women respectively were -2.84 ± 0.10 mg/dL and -3.03 ± 0.10 mg/dL for total cholesterol, -3.78 ± 0.30 mg/dL and -2.26 ± 0.19 mg/dL for triglycerides, and -2.54 ± 0.09 mg/dL and -3.06 ± 0.09 mg/dL for LDL-cholesterol (all P < 10^-16). Relative to baseline, significant decreases (P < 10^-16) were observed for the 1st, 2nd, and 3rd follow-up measurements for total cholesterol (mean ± SE, men: -9.4 ± 0.1, -11.9 ± 0.2, -13.7 ± 0.3; women: -8.0 ± 0.1, -10.5 ± 0.2, -12.6 ± 0.3 mg/dL, respectively), triglycerides (men: -10.3 ± 0.4, -12.8 ± 0.5, -13.4 ± 0.7; women: -6.4 ± 0.2, -8.8 ± 0.4, -10.1 ± 0.5 mg/dL, respectively) and LDL-cholesterol (men: -7.8 ± 0.1, -9.9 ± 0.2, -11.1 ± 0.2; women: -6.9 ± 0.1, -9.0 ± 0.2, -10.7 ± 0.2 mg/dL, respectively). When adjusted for regression to the mean, 6.9%, 9.9% and 11.8% of men, and 5.7%, 9.7% and 11.5% of women, went from having an LDL-cholesterol ≥160 to <160 mg/dL for their 1st, 2nd, and 3rd follow-up measurements, respectively. We conclude that under usual physician care, total cholesterol, triglyceride, and LDL-cholesterol concentrations decreased progressively with increased physician monitoring within a large patient population.

Safety profile of baricitinib in Japanese patients with active rheumatoid arthritis with over 1.6 years median time in treatment: An integrated analysis of Phases 2 and 3 trials

Objectives: Baricitinib is a selective oral inhibitor of JAK1/JAK2 for patients with moderately-to-severely active rheumatoid arthritis (RA). Baricitinib's safety profile in Japanese patients was evaluated using six studies (five Ph2/Ph3 trials, one long-term extension study through 01 September 2016) from an integrated database (nine RA studies).Methods: Incidence rates (IRs) or exposure-adjusted IRs (EAIRs) of adverse events (AEs) per 100 patient-years (PY) were calculated using data which included RA patients exposed to any baricitinib dose.Results: Five hundred and fourteen Japanese patients received baricitinib for 851.5 total PY of exposure (median 1.7 years, maximum 3.2). The EAIR of treatment-emergent AEs was 57.4/100PY. There were no deaths; 31 patients had serious infections (IR: 3.6/100PY), 55 herpes zoster (6.5), 0 tuberculosis, 10 malignancies (1.1) including two lymphomas, two major cardiovascular AEs (0.3), one gastrointestinal perforation (0.1), and four deep vein thrombosis (0.5). In Japanese patients, herpes zoster was more frequent than that of patients overall in the integrated database, but the events were considered manageable.Conclusion: In this analysis, baricitinib had acceptable safety profile in Japanese RA patients in the context of demonstrated efficacy. Aside from herpes zoster, baricitinib safety was not notably different between Japanese RA patients and those RA patients in the integrated database.Trial registration: NCT01185353, NCT00902486, NCT01469013, NCT01710358, NCT01721044, NCT01721057, NCT01711359, and NCT01885078 at https://clinicaltrials.gov/.

The Association Between Medication Adherence for Chronic Conditions and Digital Health Activity Tracking: Retrospective Analysis

Background

Chronic diseases have a widespread impact on health outcomes and costs in the United States. Heart disease and diabetes are among the biggest cost burdens on the health care system. Adherence to medication is associated with better health outcomes and lower total health care costs for individuals with these conditions, but the relationship between medication adherence and health activity behavior has not been explored extensively.

Objective

The aim of this study was to examine the relationship between medication adherence and health behaviors among a large population of insured individuals with hypertension, diabetes, and dyslipidemia.

Methods

We conducted a retrospective analysis of health status, behaviors, and medication adherence from medical and pharmacy claims and health behavior data. Adherence was measured in terms of proportion of days covered (PDC), calculated from pharmacy claims using both a fixed and variable denominator methodology. Individuals were considered adherent if their PDC was at least 0.80. We used step counts, sleep, weight, and food log data that were transmitted through devices that individuals linked. We computed metrics on the frequency of tracking and the extent to which individuals engaged in each tracking activity. Finally, we used logistic regression to model the relationship between adherent status and the activity-tracking metrics, including age and sex as fixed effects.

Results

We identified 117,765 cases with diabetes, 317,340 with dyslipidemia, and 673,428 with hypertension between January 1, 2015 and June 1, 2016 in available data sources. Average fixed and variable PDC for all individuals ranged from 0.673 to 0.917 for diabetes, 0.756 to 0.921 for dyslipidemia, and 0.756 to 0.929 for hypertension. A subgroup of 8553 cases also had health behavior data (eg, activity-tracker data). On the basis of these data, individuals who tracked steps, sleep, weight, or diet were significantly more likely to be adherent to medication than those who did not track any activities in both the fixed methodology (odds ratio, OR 1.33, 95% CI 1.29-1.36) and variable methodology (OR 1.37, 95% CI 1.32-1.43), with age and sex as fixed effects. Furthermore, there was a positive association between frequency of activity tracking and medication adherence. In the logistic regression model, increasing the adjusted tracking ratio by 0.5 increased the fixed adherent status OR by a factor of 1.11 (95% CI 1.06-1.16). Finally, we found a positive association between number of steps and adherent status when controlling for age and sex.

Conclusions

Adopters of digital health activity trackers tend to be more adherent to hypertension, diabetes, and dyslipidemia medications, and adherence increases with tracking frequency. This suggests that there may be value in examining new ways to further promote medication adherence through programs that incentivize health tracking and leveraging insights derived from connected devices to improve health outcomes.

Systematic review of the predictors of statin adherence for the primary prevention of cardiovascular disease

INTRODUCTION

Previous research has shown that statin adherence for the primary prevention of CVD is lower compared to secondary prevention populations. Therefore the aim of this systematic review was to review predictors of statin adherence for the primary prevention of CVD.

METHODS

A systematic search of papers published between Jan 1984 and May 2017 was conducted in PubMed, PsycINFO, EMbase and CINAHL databases. A study was eligible for inclusion if; 1) it was a study of the general population or of patients with familial hypercholesterolemia, hypertension, diabetes or arthritis; 2) statins were prescribed; 3) adherence was defined and measured as the extent to which patients followed their statin regimen during the period of prescription, and 4) it was an original trial or observational study (excluding case reports). A study was subsequently excluded if 1) results were not presented separately for primary prevention; 2) it was a trial of an intervention (for example patient education). Papers were reviewed by two researchers and consensus agreed with a third. A quality assessment (QA) tool was used to formally assess each included article. To evaluate the effect of predictors, data were quantitatively and qualitatively synthesised.

RESULTS

In total 19 studies met the inclusion criteria and nine were evaluated as high quality using the QA tool. The proportion of patients classed as "adherent" ranged from 17.8% to 79.2%. Potential predictors of statin adherence included traditional risk factors for CVD such as age, being male, diabetes and hypertension. Income associated with adherence more strongly in men than women, and highly educated men were more likely and highly educated women less likely to be adherent. Alcohol misuse and high BMI associated with non-adherence. There was no association between polypharmacy and statin adherence. The evidence base for the effect of other lifestyle factors and health beliefs on statin adherence was limited.

CONCLUSION

Current evidence suggests that patients with more traditional risk factors for CVD are more likely to be adherent to statins. The implications for future research are discussed.

Gender Based Cognitive Determinants Of Medication Adherence In Older Adults With Chronic Conditions

BACKGROUND

Life course gender-role traits and social stereotypes could affect the pattern of medication adherence in old age.

OBJECTIVES

The main purpose of this study was to investigate gender based cognitive determinants of medication adherence in a sample of older adults who suffer from at least a chronic condition.

METHODS

In this cross-sectional design, 455 older adults participated from five health centers in Tabriz city, Iran from June to August 2017 using a random sampling method. Next, required data about medication adherence, knowledge and beliefs about prescribed medications, perceived self-efficacy in medication adherence, illness perception, and reasons for medication non-adherence were gathered using a structured written questionnaire through face-to-face interviews with the attendees.

RESULTS

Low medication adherence was reported by 54.5% of the study participants. Perceived self-efficacy for medication adherence (OR = 1.04; 95% CI: 1.00, 1.08) and medication adherence reason (OR = 0.96; 95% CI: 0.92, 0.99) were two identified strong predictors of medication adherence among the studied older men. Illness perception (OR = 1.02; 95% CI: 1.00, 1.02) and beliefs toward prescribed medication (OR = 0.95; 95% CI: 0.93, 0.98) were both recognized as the significant predictors of medication adherence in the older women subgroup.

CONCLUSION

Gender based variations were noted regarding the medication adherence in the studied sample and attributes of cognitive function were the main pinpointed elucidating parameters for the non-conformity. The explicit cognitive processes must be considered in care provision or interventional programs that target medication adherence in older adults.

Comparison of Student and Patient Perceptions for Medication Non-adherence

Objective. To compare pharmacy students' perceptions with patients' reasons for medication non-adherence. Methods. Pharmacy students completing an experiential rotation recruited patients exhibiting medication non-adherence from community pharmacies and asked them to respond to statements about reasons for their medication non-adherence. Patient responses were ranked in order of prevalence and compared to self-reported student perceptions on reasons for non-adherence. Results. There was a significant difference between patients' and students' rankings of reasons for medication non-adherence. Significant factors for patients included medications that interfere with lifestyle, sexual health and drinking alcohol; whereas, students believed that cognitive-related issues were patients' primary reasons for non-adherence to their medications. Conclusion. Educational opportunities to reflect on and discuss differing perspectives should be provided in the pharmacy curriculum to better equip students to address medication adherence issues and improve patient care.

Patterns of medication adherence in a multi-ethnic cohort of prevalent statin users diagnosed with breast, prostate, or colorectal cancer

PURPOSE

To investigate the implications of a cancer diagnosis on medication adherence for pre-existing comorbid conditions, we explored statin adherence patterns prior to and following a new diagnosis of breast, colorectal, or prostate cancer among a multi-ethnic cohort.

METHODS

We identified adults enrolled at Kaiser Permanente Northern California who were prevalent statin medication users, newly diagnosed with breast, colorectal, or prostate cancer between 2000 and 2012. Statin adherence was measured using the proportion of days covered (PDC) during the 2-year pre-cancer diagnosis and the 2-year post-cancer diagnosis. Adherence patterns were assessed using generalized estimating equations, for all cancers combined and stratified by cancer type and race/ethnicity, adjusted for demographic, clinical, and tumor characteristics.

RESULTS

Among 10,177 cancer patients, statin adherence decreased from pre- to post-cancer diagnosis (adjusted odds ratio (OR_adj):0.91, 95% confidence interval (95% CI):0.88-0.94). Statin adherence decreased from pre- to post-cancer diagnosis among breast (OR_adj:0.94, 95% CI:0.90-0.99) and colorectal (OR_adj:0.79, 95% CI:0.74-0.85) cancer patients. No difference in adherence was observed among prostate cancer patients (OR_adj:1.01, 95% CI:0.97-1.05). Prior to cancer diagnosis, adherence to statins was generally higher among non-Hispanic whites and multi-race patients than other groups. However, statin adherence after diagnosis decreased only among these two populations (OR_adj:0.85, 95% CI:0.85-0.92 and OR_adj:0.86, 95% CI:0.76-0.97), respectively.

CONCLUSIONS

We found substantial variation in statin medication adherence following diagnosis by cancer type and race/ethnicity among a large cohort of prevalent statin users in an integrated health care setting.

IMPLICATIONS FOR CANCER SURVIVORS

Improving our understanding of comorbidity management and polypharmacy across diverse cancer patient populations is warranted to develop tailored interventions that improve medication adherence and reduce disparities in health outcomes.

Effectiveness of Statins as Primary Prevention in People With Different Cardiovascular Risk: A Population-Based Cohort Study

The purpose was to analyze statin effectiveness in a general population with differing levels of coronary heart disease (CHD) risk. Patients (35-74 years) without previous cardiovascular disease were included and stratified according to 10-year CHD risk (<5%, 5-7.4%, 7.5-9.9%, and 10-19.9%). New users were categorized according to their medical possession ratio (MPR). The main outcome was atherosclerotic cardiovascular disease (ASCVD) (myocardial infarction and ischemic stroke). In adherent patients (MPR 70%), statin treatment decreased ASCVD risk across the range of coronary risk (from 16-30%). The 5-year number needed to treat (NNT) was 470 and 204 in the risk categories <5% and 5-7.4%, respectively, and 75 and 62 in the 7.5-9.9% category than in the 10-19.9% category, respectively. Statin therapy should remain a priority in patients at high 10-year CHD risk (10-19.9%). Most patients with intermediate risk could benefit from statin treatment, but the treatment decision should focus on the net benefit, safety, and patient preference, given the higher NNT.

Pharmacy-based predictors of non-persistence with and non-adherence to statin treatment among patients on oral diabetes medication in the Netherlands

AIMS

To evaluate statin non-persistence and non-adherence as discrete processes in diabetes patients, and identify pharmacy-based predictors of these processes in the first year after statin initiation.

METHODS

We conducted a retrospective cohort study of statin initiators using a pharmacy database. Persistence and adherence were measured in the first, second and third year. Non-persistence was defined as a gap >180 days. Non-adherence was calculated in persistent patients and defined as a medication possession ratio <80%. Cox regression hazard ratios (HRs) and logistic regression odds ratios (ORs) were assessed for sociodemographic and medication-related factors as possible predictors.

RESULTS

Of 12,741 initiators, 20.0% were non-persistent in the first year, while 9.0% and 7.5% were non-persistent in the second and third years. Non-adherence in persistent patients increased from 13.4% in the first to 15.6% and 18.1% in the second and third years. Predictors of non-persistence were female gender (HR: 1.10; 95% CI: 1.01-1.19), older age (HR: 1.52; 95% CI: 1.31-1.75), primary prevention (HR: 1.10; 95% CI: 1.00-1.20), initiating on low dose (HR: 1.44; 95% CI: 1.07-1.94) or standard dose (HR: 1.56; 95% CI: 1.16-2.10), and no cardiovascular co-medication (HR: 1.19; 95% CI: 1.07-1.33), while patients with four or more other medications were more likely to be persistent. Age <50 years (OR: 1.47; 95% CI: 1.22-1.77), low socioeconomic status (OR: 1.27; 95% CI: 1.12-1.45) and primary prevention (OR: 1.21; 95% CI: 1.07-1.38) were predictors of non-adherence, while females were more likely to be adherent (OR: 0.87; 95% CI: 0.77-0.98).

CONCLUSION

Non-persistence was the foremost problem in the first year after statin initiation, while non-adherence in persistent patients increased in the second and third years. Pharmacy-based predictors of statin non-persistence were different from predictors of non-adherence among persistent patients.

Utilization Patterns of Lipid-lowering Therapies in Patients With Atherosclerotic Cardiovascular Disease or Diabetes: A Population-based Study in South Korea

PURPOSE

We aimed to study the utilization patterns of lipid-lowering treatment (LLT), including treatment modification, adherence, and possible statin intolerance, in patients with atherosclerotic cardiovascular disease (ASCVD) or diabetes using national claims data in South Korea.

METHODS

A retrospective cohort study was conducted using data from the Korean Health Insurance Review & Assessment Service claims database. Patients aged ≥18 years with >1 outpatient pharmacy claim for a statin and/or ezetimibe dated January 1, 2012, to December 31, 2014, were identified and categorized into the following cohorts: patients with ASCVD, and patients with diabetes mellitus without ASCVD. LLT modification, adherence to index LLT, and possible statin intolerance were explored during the 12 months after the date of first prescription for a statin and/or ezetimibe.

FINDINGS

Among 1,399,872 patients who met the eligibility criteria, 807,547 (57.7%) were patients with ASCVD and 592,325 (42.3%) were patients with diabetes without ASCVD. About half of the patients had no modification in their index treatment (46.2% in the ASCVD cohort and 48.9% in the diabetes cohort), and the most common modification was permanent discontinuation (19.6% in the ASCVD cohort and 21.4% in the diabetes cohort). The mean medication possession ratios were 0.77 in the ASCVD cohort and 0.73 in the diabetes cohort and showed a decreasing trend during the 12-month follow-up period. Among patients who initiated a statin and/or ezetimibe, possible statin intolerance was observed in 53,921 patients (6.7%) in the ASCVD cohort and 42,172 patients (7.1%) in the diabetes cohort.

IMPLICATIONS

In South Korea, a high rate of permanent discontinuation of statin therapy in patients with ASCVD or diabetes places these patients at high risk for cardiovascular events in the future. A decreasing trend of adherence to LLT implies that more intensive education and management are required to improve therapeutic effect and reduce the risk for ASCVD. The high rate of possible statin intolerance highlights an unmet need in the prevention and management of ASCVD in South Korea.

Contemporary rates and correlates of statin use and adherence in nondiabetic adults with cardiovascular risk factors: The KP CHAMP study

BACKGROUND

Statin therapy is highly efficacious in the prevention of fatal and nonfatal atherosclerotic events in persons at increased cardiovascular risk. However, its long-term effectiveness in practice depends on a high level of medication adherence by patients.

METHODS

We identified nondiabetic adults with cardiovascular risk factors between 2008 and 2010 within a large integrated health care delivery system in Northern California. Through 2013, we examined the use and adherence of newly initiated statin therapy based on data from dispensed prescriptions from outpatient pharmacy databases.

RESULTS

Among 209,704 eligible adults, 68,085 (32.5%) initiated statin therapy during the follow-up period, with 90.4% receiving low-potency statins. At 12 and 24 months after initiating statins, 84.3% and 80.2%, respectively, were actively receiving statin therapy, but only 42% and 30%, respectively, had no gaps in treatment during those time periods. There was also minimal switching between statins or use of other lipid-lowering therapies for augmentation during follow-up. Age≥50 years, Asian/Pacific Islander race, Hispanic ethnicity, prior myocardial infarction, prior ischemic stroke, hypertension, and baseline low-density lipoprotein cholesterol>100 mg/dL were associated with higher adjusted odds, whereas female gender, black race, current smoking, dementia were associated with lower adjusted odds, of active statin treatment at 12 months after initiation.

CONCLUSIONS

There remain opportunities for improving prevention in patients at risk for cardiovascular events. Our study identified certain patient subgroups that may benefit from interventions to enhance medication adherence, particularly by minimizing treatment gaps and discontinuation of statin therapy within the first year of treatment.

Increased Post-procedural Non-gastrointestinal Adverse Events After Outpatient Colonoscopy in High-risk Patients

BACKGROUND & AIMS

The incidence and predictors of non-gastrointestinal (GI) adverse events (AEs) after colonoscopy are not well-understood. We studied the effects of antithrombotic agents, cardiopulmonary comorbidities, and age on risk of non-GI AEs after colonoscopy.

METHODS

We performed a retrospective longitudinal analysis to assess the diagnosis, procedure, and prescription drug codes in a United States commercial claims database (March 2010-March 2012). Data from patients at increased risk (n = 82,025; defined as patients with pulmonary comorbidities or cardiovascular disease requiring antithrombotic medications) were compared with data from 398,663 average-risk patients. In a 1:1 matched analysis, 51,932 patients at increased risk, examined by colonoscopy, were compared with 51,932 matched (on the basis of age, sex, and comorbidities) patients at increased risk who did not undergo colonoscopy. We tracked cardiac, pulmonary, and neurovascular events 1-30 days after colonoscopy.

RESULTS

Thirty days after outpatient colonoscopy, non-GI AEs were significantly higher in patients taking antithrombotic medications (7.3%; odds ratio [OR], 10.75; 95% confidence interval, 10.13-11.42) or those with pulmonary comorbidities (1.8%; OR, 2.44; 95% confidence interval, 2.27-2.62) vs average-risk patients (0.7%) and in patients 60-69 years old (OR, 2.21; 95% confidence interval, 2.01-2.42) or 70 years or older (OR, 6.45; 95% confidence interval, 5.89-7.06), compared with patients younger than 50 years. The 30-day incidence of non-GI AEs in patients at increased risk who underwent colonoscopy was also significantly higher than in matched patients at increased risk who did not undergo colonoscopy in the anticoagulant group (OR, 2.31; 95% confidence interval, 2.01-2.65) and in the chronic obstructive pulmonary disease group (OR, 1.33; 95% confidence interval, 1.13-1.56).

CONCLUSIONS

Increased number of comorbidities and older age (older than 60 years) are associated with increased risk of non-GI AEs after colonoscopy. These findings indicate the importance of determining comorbid risk and evaluating antithrombotic management before colonoscopy.

Patterns of Statin Use in a Real-World Population of Patients at High Cardiovascular Risk

BACKGROUND

Widespread use of statins has improved hypercholesterolemia management, yet a significant proportion of patients remain at risk for cardiovascular (CV) events. Analyses of treatment patterns reveal inadequate intensity and duration of statin therapy among patients with hypercholesterolemia, and little is known about real-world statin use, specifically in subgroups of patients at high risk for CV events.

OBJECTIVE

To examine patterns of statin use and outcomes among patients with high-risk features who newly initiated statin monotherapy.

METHODS

Adult patients (aged > 18 years) at high CV risk who received > 1 prescription for statin monotherapy and who had not received lipid-modifying therapy during the previous 12 months were identified from the Truven MarketScan Commercial and Medicare Supplemental databases (from January 2007 to June 2013). Patients with atherosclerotic cardiovascular disease (ASCVD) or diabetes were hierarchically classified into 5 mutually exclusive CV risk categories (listed here in order from highest to lowest risk): (1) recent CV event (subcategorized by hospitalization for acute coronary syndrome [ACS] or other non-ACS CV event within 90 days of index); (2) coronary heart disease (CHD); (3) history of ischemic stroke; (4) peripheral artery disease (PAD); and (5) diabetes. Outcomes of interest included changes in therapy, proportion of days covered (PDC), time to discontinuation, and proportion of patients with ASCVD-related inpatient visit during the follow-up period. Statin therapy was subdivided into high-intensity treatment (atorvastatin 40 mg or 80 mg, rosuvastatin 20 mg or 40 mg, or simvastatin 80 mg) or moderate- to low-intensity treatment (all other statins and statin dosing regimens). Follow-up data were obtained from the index date (statin initiation) until the end of continuous enrollment.

RESULTS

A total of 541,221 patients were included in the analysis. The majority of patients were stratified in the diabetes cohort (61.1%), followed in frequency by recent ACS event (15.8%), recent non-ACS CV event (9.9%), PAD (4.7%), CHD (4.4%), and history of ischemic stroke (4.1%). Only 15.0% of the population initiated therapy with a high-intensity statin, and 22.5% of these high-intensity statin initiators switched to a moderate- to low-intensity regimen during the follow-up period. Median time to statin discontinuation was approximately 15 months. Duration of treatment was longer among those who were treated with a high-intensity versus a moderate- to low-intensity statin regimen (21 and 15 months, respectively). The PDC was highest in the recent ACS hospitalization cohort (66.4%) and lowest in the diabetes cohort (55.5%). The PDC was significantly greater among patients who initiated treatment with a high-intensity statin regimen than with a moderate- to low-intensity statin regimen (62.1% vs. 57.5%, respectively; P< 0.001). At 1 year, Kaplan-Meier estimates of the cumulative rates for ASCVD-related hospitalizations ranged from 3.5% (diabetes) to 21.8% (recent ACS hospitalization).

CONCLUSIONS

Patients at high risk for CV events are suboptimally dosed with statins, have high rates of discontinuation, and have low rates of adherence. Despite the use of statin therapy, ASCVD-related inpatient visit rates were high, particularly among those patients at highest risk because of a recent ACS hospitalization. Future interventions are required to ensure that high-risk patients are effectively managed to reduce subsequent morbidity and mortality.

DISCLOSURES

Support for this research was provided by Regeneron Pharmaceuticals, Tarrytown, New York, and Sanofi US, Bridgewater, New Jersey. Menzin and Lin are employees of Boston Health Economics, which received consulting fees from Sanofi. Friedman is a consultant to Boston Health Economics. Lin, Friedman, and Menzin have received research support from Sanofi US. Sung, Mallya, Panaccio, and Koren are employees of Sanofi US and also have ownership interest in Sanofi US. Sanchez is an employee of and has ownership interest in Regeneron Pharmaceuticals. Neumann has served on advisory boards for Merck & Co, Takeda Pharmaceutical Company, Genentech, Novartis, Bayer AG, UCB, Sanofi US, Robert Wood Johnson Foundation, and Cubist and serves as consultant for Boston Health Economics, Forrest, P urdue, and Smith and Nephew. This research has been presented in part at the International Society for Pharmacoeconomics and Outcomes Research, 20th Annual International Meeting, May 16-20, 2015, Philadelphia, Pennsylvania. All authors contributed to the study design, protocol development, and results interpretation. Lin and Menzin were responsible for conducting the study analyses. All authors were involved in manuscript development and approved the submitted version.

Clinical determinants and treatment gaps in familial hypercholesterolemia: Data from a multi-ethnic regional health service

Background Familial hypercholesterolemia is characterized by markedly increased low-density lipoprotein cholesterol and risk for premature atherosclerotic cardiovascular disease. Models of care vary and reflect differing health policies and resources. The availability of electronic databases may enable better identification and assessment of familial hypercholesterolemia in the community. Methods A regional healthcare database was utilized to identify patients with a high probability of familial hypercholesterolemia, clinically defined by age-dependent-peak low-density lipoprotein cholesterol cutoffs and exclusion of secondary causes of severe hypercholesterolemia. Clinical characteristics, low-density lipoprotein cholesterol goal attainment, and treatment gaps were investigated. Results Probable familial hypercholesterolemia was diagnosed in 1932 of 685,314 individuals (1:355; median age 47 years). Atherosclerotic cardiovascular disease was present in 16.3% of adults (38% in males aged 50-74 years). Median peak low-density lipoprotein cholesterol was 264 mg/dl (interquartile range 252-288). Statins and/or ezetimibe were prescribed to 83% of patients and high-intensity statins to 53%, whereas prescriptions were filled in 57% and 40% cases respectively over the last six months, p < 0.001. Treatment gaps were wider among ethnic minorities, younger individuals, and those without atherosclerotic cardiovascular disease. Low-density lipoprotein cholesterol < 100 mg/dl was attained in 10.1% overall and 28.7% of those with atherosclerotic cardiovascular disease. Predictors of low-density lipoprotein cholesterol goal attainment included recent issue of high-intensity statins, presence of atherosclerotic cardiovascular disease, diabetes, older age and lack of smoking. Conclusions The population with high probability for familial hypercholesterolemia was characterized by low attainment of low-density lipoprotein cholesterol treatment goals despite high prescription rates of lipid-lowering medications. Low utilization of intensified therapies, non-adherence, and ethnic disparities were contributing factors. These findings emphasize the need to improve awareness and quality of care of familial hypercholesterolemia in the community.

Guideline-based statin/lipid-lowering therapy eligibility for primary prevention and accuracy of coronary artery calcium and clinical cardiovascular events: The Multi-Ethnic Study of Atherosclerosis (MESA)

BACKGROUND

With multiple cholesterol guidelines, we evaluated the accuracy of recommended statin therapy on identifying coronary artery calcium (CAC) and cardiovascular disease (CVD) events by 2004 NCEP/ ATP III, 2016 ESC/EAS, and 2013 ACC/AHA guidelines.

HYPOTHESIS

ACC/AHA guidelines are more accurate in identifying persons at risk for CVD.

METHODS

5002/6814 participants age <75 years and free of CVD were included. CAC categories (>0, ≥100, and ≥300) and 10 years of CVD outcomes were considered. Sensitivity (SN), specificity (SP), positive and negative predictive value (PPV and NPV), and likelihood ratios (LR) were calculated. Mean age was 59 years; 47% of subjects were males.

RESULTS

1297 (26%), 1381 (28%), and 2538 (51%) had class I indications for statin/LLT by the NCEP ATP III, ESC/EAS, and AHA/ACC guidelines, respectively. SN, SP, NPV, and PPV for CAC ≥300 were: NCEP ATP III (41.1%, 75.5%, 93.3% and 13.4%), ESC/EAS (54.1%, 74.8%, 94.6% and16.6%), and ACC/AHA (87.2%, 52.6%, 97.8% and 14.5%). SN, SP, PPV, and NPV for corresponding CVD outcomes were: NCEP ATP III (45.8%, 75.1%, 96.3%, and 8.9%), ESC/EAS (50.5%, 72.9%, 98.7%, and 3.6%), and AHA/ACC (79.6%, 50.7%, 98%, and 7.7%). ESC/EAS had significantly higher positive LR 2.15 (95% CI, 1.95 - 2.38) and ACC/AHA had significantly lower negative LR [0.24, (95% CI 0.19 - 0.31)] for corresponding CVD.

CONCLUSIONS

Despite the increased in SN of statin eligibility by the ACC/AHA, it has similar NPV and PPV for CAC/future CVD events. The ACC/AHA class I indications for statin may be a superior screening tool for subclinical and clinical CVD.

Additional therapy for cholesterol lowering in ezetimibe-treated, statin-intolerant patients in clinical practice: results from an internal audit of a university lipid clinic

OBJECTIVE

The aim of our study was to evaluate the tolerability and efficacy of alternative approaches to improve cholesterolemia control in patients with statin-related myalgia treated with ezetimibe.

RESEARCH DESIGN AND METHODS

We retrospectively evaluated 3534 Clinical Report Forms (CRFs) filled in the period June 2012-June 2015 for first visits to the lipid clinic of the University of Bologna. For this study, we selected 252 CRFs based on the following criteria: statin-related myalgia, previous failed treatment with at least two low-dosed statins, well tolerated treatment with ezetimibe. Then, the following lipid-lowering treatments were added in order to improve the ezetimibe low density lipoprotein cholesterol (LDL-C) lowering efficacy, based on clinical judgment: fenofibrate 145 mg, rosuvastatin 5 mg 1 tablet/week, rosuvastatin 5 mg 2 tablets/week, red yeast rice (standardized in monacolin K 3 mg) + berberine 500 mg, berberine 500 mg b.i.d., phytosterols 900 mg + psyllium fiber 3.5 g b.i.d. Patients continuing to claim a tolerable myalgia were then treated with coenzyme Q10 nanoemulsions 200 mg/day.

RESULTS

The treatment with standard lipid-lowering diet plus ezetimibe alone was associated with a mean LDL-C reduction of 17 ± 2%. The additive LDL-lowering effect with the various tested treatment was: -16 ± 2% with fenofibrate 145 mg/day, -13 ± 1% with rosuvastatin 5 mg 1 tablet/week, -17 ± 3% with rosuvastatin 5 mg 2 tablets/week, -19 ± 4% with red yeast rice + berberine, -17 ± 4% with berberine b.i.d. and -10 ± 3% with phytosterols + psyllium b.i.d.; 11% of the patients treated with fenofibrate required treatment modification because of myalgia recurrence, while the percentage was negligible for the other tested treatments. In patients with residual tolerable myalgia, treatment with coenzyme Q10 for 8 weeks was associated with a mean improvement of the graduated myalgia score from 4.8 ± 1.9 to 2.9 ± 1.3 (p = 0.013).

CONCLUSIONS

Some alternative treatments seems to be effective and well tolerated, thus improving the ezetimibe effect on cholesterolemia.

2013 ACC/AHA Cholesterol Guideline and Implications for Healthy People 2020 Cardiovascular Disease Prevention Goals

BACKGROUND

Healthy People 2020 aim to reduce fatal atherosclerotic cardiovascular disease (ASCVD) by 20%, which translates into 310 000 fewer events annually assuming proportional reduction in fatal and nonfatal ASCVD. We estimated preventable ASCVD events by implementing the American College of Cardiology/American Heart Association (ACC/AHA) 2013 Cholesterol Guideline in all statin-eligible adults. Absolute risk reduction (ARR) and number needed-to-treat (NNT) were calculated.

METHODS AND RESULTS

National Health and Nutrition Examination Survey data for 2007-2012 were analyzed for adults aged 21 to 79 years and extrapolated to the US population. Literature-guided assumptions were used including (1) low-density lipoprotein cholesterol falls 33% with moderate-intensity statins and 51% with high-intensity statins; (2) for each 39 mg/dL decline in low-density lipoprotein cholesterol, 10-year ASCVD10 risk would fall 21% when ASCVD10 risk was ≥20% and 33% when ASCVD10 risk was <20%; and (3) either all statin-eligible untreated adults or all with ASCVD10 risk ≥7.5% would receive statins. Of 175.9 million adults aged 21 to 79 years not taking statins, 44.8 million (25.5%) were statin eligible. Treating all statin-eligible adults would prevent an estimated 243 589 ASCVD events annually (ARR 5.4%, 10-year NNT 18). Treating all statin-eligible adults with ASCVD10 risk ≥7.5% reduces the number treated to 32.2 million (28.2% fewer), whereas ASCVD events prevented annually fall only 10.5% to 217 974 (6.8% ARR, NNT 15).

CONCLUSIONS

Implementing the ACC/AHA 2013 Cholesterol Guideline in all untreated, statin-eligible adults could achieve ≈78% of the Healthy People 2020 ASCVD prevention goal. Most of the benefit is attained by individuals with 10-year ASCVD risk ≥7.5%.

Statin adherence and risk of acute cardiovascular events among women: a cohort study accounting for time-dependent confounding affected by previous adherence

OBJECTIVES

Previous studies on the effect of statin adherence on cardiovascular events in the primary prevention of cardiovascular disease have adjusted for time-dependent confounding, but potentially introduced bias into their estimates as adherence and confounders were measured simultaneously. We aimed to evaluate the effect when accounting for time-dependent confounding affected by previous adherence as well as time sequence between factors.

DESIGN

Retrospective cohort study.

SETTING

Finnish healthcare registers.

PARTICIPANTS

Women aged 45-64 years initiating statin use for primary prevention of cardiovascular disease in 2001-2004 (n=42 807).

OUTCOMES

Acute cardiovascular event defined as a composite of acute coronary syndrome and acute ischaemic stroke was our primary outcome. Low-energy fractures were used as a negative control outcome to evaluate the healthy-adherer effect.

RESULTS

During the 3-year follow-up, 474 women experienced the primary outcome event and 557 suffered a low-energy fracture. The causal HR estimated with marginal structural model for acute cardiovascular events for all the women who remained adherent (proportion of days covered ≥80%) to statin therapy during the previous adherence assessment year was 0.78 (95% CI: 0.65 to 0.94) when compared with everybody remaining non-adherent (proportion of days covered <80%). The result was robust against alternative model specifications. Statin adherers had a potentially reduced risk of experiencing low-energy fractures compared with non-adherers (HR 0.90, 95% CI 0.76 to 1.07).

CONCLUSIONS

Our study, which took into account the time dependence of adherence and confounders, as well as temporal order between these factors, is support for the concept that adherence to statins in women in primary prevention decreases the risk of acute cardiovascular events by about one-fifth in comparison to non-adherence. However, part of the observed effect of statin adherence on acute cardiovascular events may be due to the healthy-adherer effect.

Cardiovascular disease guideline adherence and self-reported statin use in longstanding type 1 diabetes: results from the Canadian study of longevity in diabetes cohort

BACKGROUND

Older patients with longstanding type 1 diabetes have high cardiovascular disease (CVD) risk such that statin therapy is recommended independent of prior CVD events. We aimed to determine self-reported CVD prevention guideline adherence in patients with longstanding diabetes.

RESEARCH DESIGN AND METHODS

309 Canadians with over 50 years of type 1 diabetes completed a medical questionnaire for presence of lifestyle and pharmacological interventions, stratified into primary or secondary CVD prevention subgroups based on absence or presence of self-reported CVD events, respectively. Associations with statin use were analyzed using multivariable logistic regression.

RESULTS

The 309 participants had mean ± SD age 65.7 ± 8.5 years, median diabetes duration 54.0 [IQR 51.0, 59.0] years, and HbA1c of 7.5 ± 1.1 % (58 mmol/mol). 159 (52.7 %) participants reported diet adherence, 296 (95.8 %) smoking avoidance, 217 (70.5 %) physical activity, 218 (71.5 %) renin-angiotensin-system inhibitor use, and 220 (72.1 %) statin use. Physical activity was reported as less common in the secondary prevention subgroup, and current statin use was significantly lower in the primary prevention subgroup (65.5 % vs. 84.8 %, p = 0.0004). In multivariable logistic regression, the odds of statin use was 0.38 [95 % CI 0.15-0.95] in members of the primary compared to the secondary prevention subgroup, adjusting for age, sex, hypertension history, body mass, HbA1c, cholesterol, microvascular complications, acetylsalicylic acid use, and renin-angiotensin system inhibitor use.

CONCLUSION

Despite good self-reported adherence to general CVD prevention guidelines, against the principles of these guidelines we found that statin use was substantially lower in those without CVD history. Interventions are needed to improve statin use in older type 1 diabetes patients without a history of CVD.

Impact of Statin Adherence on Cardiovascular Morbidity and All-Cause Mortality in the Primary Prevention of Cardiovascular Disease: A Population-Based Cohort Study in Finland

OBJECTIVES

To assess the extent to which adherence to statins is associated with the incidence of cardiovascular (CV) events and all-cause mortality in the primary prevention of CV diseases and whether different analytical approaches influence the observed associations.

METHODS

This population-based cohort study used data from Finnish registers. The cohort included 97,575 new statin users aged 45 to 75 years in 2001 to 2004 with no CV diseases at baseline. Exposure was defined as adherence to statins (proportion of days covered [PDC]). The primary outcome was any CV event or death during a 3-year follow-up. Different analytical approaches, including multivariable-adjusted Cox regression, inverse probability weighting with time-varying adherence, and propensity score calibration, were used.

RESULTS

During the first year of follow-up, 53% displayed good (PDC ≥80%), 26% had intermediate (PDC 40%-79%), and 21% exhibited poor (PDC <40%) adherence. After adjustment for sociodemographic and clinical covariates, a 25% relative risk reduction (hazard ratio [HR] 0.75; 95% confidence interval [CI] 0.71-0.79) was observed in the rate of any CV event or death among good versus poor adherers. Good adherers also had a lower incidence than poor adherers of acute coronary syndrome (HR 0.56; 95% CI 0.49-0.65) and acute cerebrovascular disease events (HR 0.67; 95% CI 0.60-0.76). The different analytical approaches achieved comparable results for all the outcomes.

CONCLUSIONS

The incidence of CV events and mortality was higher in poor versus good adherers. Different analytical methods that took into account changes in adherence and confounding at baseline did not appreciably affect the results.

When compliance is an issue-how to enhance statin adherence and address adverse effects

Cardiovascular disease is prevalent and costly. Interventions and therapies that reduce morbidity and mortality associated with cardiovascular disease could have an enormous impact on clinical and economic outcomes. Statins reduce atherosclerotic cardiovascular disease-related morbidity and mortality; however, adherence to statins is less than optimal. It is important for clinicians as well as health plan managers to be aware of the patient- and insurance plan-specific factors that have been shown to influence adherence. Perceived statin-related side effects may also decrease adherence. Statin-related myalgia may be difficult to distinguish from myalgia caused by other conditions, and statin therapy may be discontinued unnecessarily in patients who would otherwise benefit. It is imperative that clinicians work closely with patients to improve adherence to statin therapy and be knowledgable in managing potential statin-related side effects.

Medication non-adherence among elderly patients newly discharged and receiving polypharmacy

BACKGROUND

Poor adherence may have a major impact on clinical outcome, contributing to substantial worsening of disease, increased health care costs and even death. With increasing numbers of medications, low adherence is a growing concern, seriously undermining the benefits of current medical care. Little is known about medication adherence among older adults living at home and requiring complex medication regimens.

OBJECTIVE

The aim of this study was to describe adherence to drug prescriptions in a cohort of elderly patients receiving polypharmacy, discharged from an internal medicine ward.

METHODS

A sample of elderly patients (65 years of age or older) discharged from an internal medicine ward in Italy throughout 2012 were enrolled. They were followed for 3 months after discharge with a structured telephone interview to collect information on drug regimens and medication adherence 15-30 days (first follow-up) and 3 months (second follow-up) after discharge. Demographic variables including age, sex, marital status and caregiver were collected.

RESULTS

Among 100 patients recruited, information on medication adherence was available for, respectively, 89 and 79 patients at the first and second follow-ups. Non-adherence was reported for 49 patients (55.1 %) at the first follow-up and for 55 (69.6 %) 3 months from discharge. Voluntary withdrawal of a drug and change of dosage without medical consultation were the main reasons for non-adherence at both follow-ups. The number of drugs prescribed at discharge was related to medication non-adherence at both follow-up interviews. No association was found between age and non-adherence. Only 25 patients (28.1 %) at the first follow-up and 20 (25.3 %) at the second understood the reasons for their medications.

CONCLUSIONS

Low medication adherence is a real, complex problem for older patients receiving polypharmacy. We found that the increasing number of drugs prescribed at hospital discharge is correlated to non-adherence and a high percentage of patients did not understand the purpose of their medications. Simplification of drug regimens and reduction of pill burdens as well as better explanations of the reason for the medications should be targets for intervention.

Dynamic medication adherence modeling in primary prevention of cardiovascular disease: a Markov microsimulation methods application

BACKGROUND

Real-world patients' medication adherence is lower than that of clinical trial patients. Hence, the effectiveness of medications in routine practice may differ.

OBJECTIVES

The study objective was to compare the outcomes of an adherence-naive versus a dynamic adherence modeling framework using the case of statins for the primary prevention of cardiovascular (CV) disease.

METHODS

Statin adherence was categorized into three state-transition groups on the basis of an epidemiological cohort study. Yearly adherence transitions were incorporated into a Markov microsimulation using TreeAge software. Tracker variables were used to store adherence transitions, which were used to adjust probabilities of CV events over the patient's lifetime. Microsimulation loops "random walks" estimated the average accrued quality-adjusted life-years (QALYs) and CV events. For each 1,000-patient microsimulations, 10,000 outer loops were performed to reflect second-order uncertainty.

RESULTS

The adherence-naive model estimated 0.14 CV events avoided per person, whereas the dynamic adherence model estimated 0.08 CV events avoided per person. Using the adherence-naive model, we found that statin therapy resulted in 0.40 QALYs gained over the lifetime horizon on average per person while the dynamic adherence model estimated 0.22 incremental QALYs gained. Subgroup analysis revealed that maintaining high adherence in year 2 resulted in 0.23 incremental QALYs gained as compared with 0.16 incremental QALYs gained when adherence dropped to the lowest level.

CONCLUSIONS

A dynamic adherence Markov microsimulation model reveals risk reduction and effectiveness that are lower than with an adherence-naive model, and reflective of real-world practice. Such a model may highlight the value of improving or maintaining good adherence.