Lipid Testing Trends Before and After Hospitalization for Myocardial Infarction Among Adults in the United States, 2008-2019

Ezetimibe use and mortality after myocardial infarction: A nationwide cohort study

Background

The inhibition of intestinal cholesterol absorption by ezetimibe improves outcomes after myocardial infarction (MI), yet real-world data on ezetimibe is scarce. We studied the usage of ezetimibe and association with outcome after MI.

Methods

Consecutive MI patients in Finland (2010-2018) were retrospectively studied (N = 57,505; 65 % men; mean age 69 years). The study data were collected from national registries. The median follow-up was 4.5 (IQR 2.8-7.1) years. Between-group differences were adjusted for using multivariable regression. Ezetimibe use was studied with competing risk analyses.

Results

The cumulative incidence of ezetimibe use was 3.7 % at 90 days, 13.4 % at 5 years, and 19.8 % at 10 years. Younger age was one of the strongest predictors of ezetimibe use (adj.sHR 6.67; CI 5.88-7.69 for patients aged <60 vs ≥80 years). Women were more likely to use ezetimibe during follow-up than men. The average proportion of patients using ezetimibe during follow-up was 6.8 %. (11.7 % at 10 years). Ezetimibe was discontinued by 43.6 % of patients during follow-up. Patients with early ezetimibe therapy after MI had lower all-cause mortality during follow-up (33.6% vs 45.1 %; adj.HR 0.77; CI 0.69-0.86; P < 0.0001). Early ezetimibe use was associated with lower mortality irrespective of sex, age, atrial fibrillation, diabetes, heart failure, malignancy, revascularization, or statin use. Ongoing ezetimibe therapy during follow-up was associated with lower mortality in a time-dependent analysis (adj.HR 0.53; CI 0.48-0.59; P < 0.0001).

Conclusions

Ezetimibe is associated with a lower risk of death after MI, yet its therapeutic use is limited, and discontinuation is frequent.

Development and multinational validation of an algorithmic strategy for high Lp(a) screening

Elevated lipoprotein (a) (Lp(a)) is associated with premature atherosclerotic cardiovascular disease. However, fewer than 0.5% of individuals undergo Lp(a) testing, limiting the evaluation and use of novel targeted therapeutics currently under development. Here we describe the development of a machine learning model for targeted screening for elevated Lp(a) (≥150 nmol l-1) in the UK Biobank (N = 456,815), the largest cohort with protocolized Lp(a) testing. We externally validated the model in 3 large cohort studies, ARIC (N = 14,484), CARDIA (N = 4,124) and MESA (N = 4,672). The model, Algorithmic Risk Inspection for Screening Elevated Lp(a) (ARISE), reduced the number needed to test to find one individual with elevated Lp(a) by up to 67.3%, based on the probability threshold, with consistent performance across external validation cohorts. ARISE could be used to optimize screening for elevated Lp(a) using commonly available clinical features, with the potential for its deployment in electronic health records to enhance the yield of Lp(a) testing in real-world settings.

Short-Course High-Intensity Statin Treatment during Admission for Myocardial Infarction and LDL-Cholesterol Reduction-Impact on Tailored Lipid-Lowering Therapy at Discharge

We hypothesized that a short-course high-intensity statin treatment during admission for myocardial infarction (MI) could rapidly reduce LDL-C and thus impact the choice of lipid-lowering therapy (LLT) at discharge. Our cohort comprised 133 MI patients (62.71 ± 11.3 years, 82% male) treated with atorvastatin 80 mg o.d. during admission. Basal LDL-C levels before admission were analyzed. We compared lipid profile variables before and during admission, and LLT at discharge was registered. Achieved theoretical LDL-C levels were estimated using LDL-C during admission and basal LDL-C as references and compared to LDL-C on first blood sample 4-6 weeks after discharge. A significant reduction in cholesterol from basal levels was noted during admission, including total cholesterol, triglycerides, HDL-C, non-HDL-C, and LDL-C (-39.23 ± 34.89 mg/dL, p < 0.001). LDL-C levels were reduced by 30% in days 1-2 and 40-45% in subsequent days (R2 0.766, p < 0.001). Using LDL-C during admission as a reference, most patients (88.7%) would theoretically achieve an LDL-C < 55 mg/dL with discharge LLT. However, if basal LDL-C levels were considered as a reference, only a small proportion of patients (30.1%) would achieve this lipid target, aligned with the proportion of patients with LDL-C < 55 mg/dL 4-6 weeks after discharge (36.8%). We conclude that statin treatment during admission for MI can induce a significant reduction in LDL-C and LLT at discharge is usually prescribed using LDL-C during admission as the reference, which leads to insufficient LDL-C reduction after discharge. Basal LDL-C before admission should be considered as the reference value for tailored LLT prescription.

Lipid-Lowering Therapy Utilization and Dosage Among Patients with Acute Coronary Syndrome Events: A Retrospective Cohort from 12 Community Hospitals

Introduction

Clinical practice guidelines recommend initiating a high-intensity LLT and continued monitoring of low-density lipoprotein cholesterol (LDL-C) following acute coronary syndrome (ACS). We used real-world data to describe LLT utilization after discharge and 1-year adherence. The reduction in LDL-C was also evaluated.

Methods

Data were extracted from electronic health records (EHRs) from 12 hospitals in a large community healthcare system in midwestern United States between 2013 and 2019. Data on eligible patients recently discharged with an ACS event were linked to pharmacy claims data to describe LLT fill rates and 1-year post-discharge adherence. Adherence was reported as the proportion of days covered ≥80%.

Results

Of the 10,589 eligible patients, 49% filled a high-intensity statin at discharge and only 36% were adherent at 1 year. The mean (SD) age was 66.1±13.3, 39.3% were females, 58.8% were Caucasian, and 53.0% had Medicare. There was a clear trend for greater fill rates at discharge among patients with higher LDL-C values than those with lower values (p<0.01). Key predictors of high-intensity (versus medium-intensity) LLT use within 21 days after an ACS event included ACS type (odds ratio [OR] 0.59; 95% confidence interval [CI] 0.52-0.67 for NSTEMI versus STEMI), age group (OR: 0.59; 95% CI: 0.48-0.72 for >75 years versus <65 years), and statin use before index ACS event (OR: 1.56; 95% CI: 1.23-1.88).

Conclusion

This real-world study found that despite recommendations in clinical practice guidelines, high-intensity LLT fill rates at discharge and 1-year adherence to LLT remain suboptimal. Clinical characteristics, including ACS type and LDL-C values, were strong predictors of filling and adherence to guideline-recommended therapy. Age, sex, and race/ethnicity disparities were observed in discharge fill rates and 1-year adherence. These results highlight the need for continued efforts at the patient and provider levels to improve LLT adherence among ACS patients.