Statin use following hospitalization among Medicare beneficiaries with a secondary discharge diagnosis of acute myocardial infarction

Statin Discontinuation and Life-Limiting Illness in Non-Skilled Stay Nursing Homes at Admission

OBJECTIVES

To estimate 30-day statin discontinuation among newly admitted nursing home residents overall and within categories of life-limiting illness.

DESIGN

Retrospective cohort using Minimum Data Set 3.0 nursing home admission assessments from 2015 to 2016 merged to Medicare administrative data files.

SETTING

U.S. Medicare- and Medicaid-certified nursing home facilities (n = 13,092).

PARTICIPANTS

Medicare fee-for-service beneficiaries, aged 65 years and older, newly admitted to nursing homes for non-skilled nursing facility stays on statin pharmacotherapy at the time of admission (n = 73,247).

MEASUREMENTS

Residents were categorized using evidence-based criteria to identify progressive, terminal conditions or limited prognoses (<6 months). Discontinuation was defined as the absence of a new Medicare Part D claim for statin pharmacotherapy in the 30 days following nursing home admission.

RESULTS

Overall, 19.9% discontinued statins within 30 days of nursing home admission, with rates that varied by life-limiting illness classification (no life-limiting illness: 20.5%; serious illness: 18.6%; receipt of palliative care consult: 34.5%; clinician designated as end-of-life: 45.0%). Relative to those with no life-limiting illness, risk of 30-day statin discontinuation increased with life-limiting illness severity (serious illness: adjusted risk ratio (aRR) = 1.06; 95% confidence interval (CI) = 1.02-1.10; palliative care index diagnosis: aRR = 1.15; 95% CI = 1.10-1.21; palliative care consultation: aRR = 1.58; 95% CI = 1.43-1.74; clinician designated as end of life: aRR = 1.59; 95% CI = 1.42-1.79). Nevertheless, most remained on statins after entering the nursing home regardless of life-limiting illness status.

CONCLUSION

Statin use continues in a large proportion of Medicare beneficiaries after admission to a nursing home. Additional deprescribing research, which identifies how to engage nursing home residents and healthcare providers in a process to safely and effectively discontinue medications with questionable benefits, is warranted.

Characteristics and Cardiovascular Disease Event Rates among African Americans and Whites Who Meet the Further Cardiovascular Outcomes Research with PCSK9 Inhibition in Subjects with Elevated Risk (FOURIER) Trial Inclusion Criteria

PURPOSE

Determine the risk for cardiovascular disease (CVD) events among adults with clinically evident CVD who meet the inclusion criteria for the FOURIER clinical trial on PCSK9 inhibition in a real-world database.

METHODS

We analyzed data from 2072 African American and 2972 white REasons for Geographic And Racial Differences in Stroke (REGARDS) study participants 45-85 years of age with clinically evident CVD. Study participants meeting the FOURIER inclusion criteria (one major or two minor cardiovascular risk factors, fasting LDL cholesterol ≥ 70 mg/dL or non-HDL cholesterol ≥ 100 mg/dL, triglycerides ≤ 400 mg/dL, and taking statin) were followed for CVD events (myocardial infarction, stroke, coronary revascularization, and CVD death) from baseline in 2003-2007 through 2014.

RESULTS

Overall, 771 (37.2%) African Americans and 1200 (40.4%) whites met the FOURIER inclusion criteria. The CVD event rate per 1000 person years was 60.6 (95% CI 53.6-67.6) among African Americans and 63.5 (95% CI 57.7-69.3) among whites. The risk for CVD events among adults meeting the FOURIER inclusion criteria was higher for those with a history of multiple cardiovascular events (hazard ratios among African Americans and whites 1.34 [95% CI 1.05-1.71] and 1.34 [1.10-1.63], respectively), a prior coronary revascularization (1.44 [1.13-1.84] and 1.23 [1.00-1.52], respectively), diabetes (1.38 [1.08-1.76] and 1.41 [1.15-1.72], respectively), reduced glomerular filtration rate (1.63 [1.26-2.11] and 1.29 [1.03-1.62], respectively), and albuminuria (1.77 [1.37-2.27] and 1.33 [1.07-1.65], respectively).

CONCLUSIONS

The CVD event rate is high among African Americans and whites meeting the FOURIER inclusion criteria. Characteristics associated with a higher CVD risk may inform the decision to initiate PCSK9 inhibition.

Factors Associated With Tyrosine Kinase Inhibitor Initiation and Adherence Among Medicare Beneficiaries With Chronic Myeloid Leukemia

Purpose There is substantial concern surrounding affordability of orally administered anticancer therapies, particularly for Medicare beneficiaries. We examined rates of initiation and adherence to tyrosine kinase inhibitors (TKIs) among Medicare beneficiaries with chronic myeloid leukemia (CML) with and without cost-sharing subsidies. We selected TKIs given their effectiveness and strong indication for use among patients diagnosed with CML. Patients and Methods Using SEER-Medicare data, we identified individuals diagnosed with CML from 2007 to 2011. We used Cox proportional hazards regression to assess time from diagnosis to TKI initiation. We used generalized estimating equations to examine treatment initiation within 180 days and TKI adherence among initiators. We defined adherence as at least 80% of days covered during the 6 months after TKI initiation. Results Among 393 individuals diagnosed with CML from 2007 to 2011, 68% initiated TKI treatment within 180 days after diagnosis. In multivariate analysis, individuals with cost-sharing subsidies, younger age, lower comorbidity, and later year of diagnosis were significantly more likely to initiate TKIs. Among TKI initiators, 61% were adherent; adherence was lower for individuals age 80 years or older versus 66 to 69 years. Conclusion Only 68% of Medicare beneficiaries with CML initiated TKI therapy within 6 months of diagnosis. Delayed initiation among individuals without cost-sharing subsidies suggests that out-of-pocket costs may be a barrier to timely initiation of therapy among individuals diagnosed with CML.

Big Data Cohort Extraction to Facilitate Machine Learning to Improve Statin Treatment

Health care Big Data studies hold substantial promise for improving clinical practice. Among analytic tools, machine learning (ML) is an important approach that has been widely used by many industries for data-driven decision support. In Big Data, thousands of variables and millions of patient records are commonly encountered, but most data elements cannot be directly used to support decision making. Although many feature-selection tools can help identify relevant data, these tools are typically insufficient to determine a patient data cohort to support learning. Therefore, domain experts with nursing or clinic knowledge play critical roles in determining value criteria or the type of variables that should be included in the patient cohort to maximize project success. We demonstrate this process by extracting a patient cohort (37,506 individuals) to support our ML work (i.e., the production of a proactive strategy to prevent statin adverse events) from 130 million de-identified lives in the OptumLabs™ Data Warehouse.

Statin non-adherence: clinical consequences and proposed solutions

Large controlled clinical trials have demonstrated reductions with statin therapy in cardiovascular events in patients presenting with acute coronary syndromes and stable coronary heart disease and individuals at high risk of a cardiovascular event. In trials of acute coronary syndromes and stable coronary heart disease, high-intensity statin therapy is more effective in the prevention of recurrent cardiovascular events than low-intensity statin therapy. Thus, evidence-based guidelines recommend in-hospital initiation of high-intensity statin therapy for all acute coronary syndrome patients. Clinical trials report high adherence to and low discontinuation of high-intensity statin therapy; however, in clinical practice, high-intensity statins are prescribed to far fewer patients, who often discontinue their statin after the first refill. A coordinated effort among the patient, provider, pharmacist, health system, and insurer is necessary to improve utilization and persistence of prescribed medications. The major cause for statin discontinuations reported by patients is perceived adverse events. Evaluation of potential adverse events requires validated tools to distinguish between statin-associated adverse events versus non-specific complaints. Treatment options for statin-intolerant patients include the use of a different statin, often at a lower dose or frequency. In order to lower LDL cholesterol, lower doses of statins may be combined with ezetimibe or bile acid sequestrants. Newer treatment options for patients with statin-associated muscle symptoms may include proprotein convertase subtilisin kexin 9 (PCSK9) inhibitors.