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1.
Clin Cardiol ; 43(6): 560-567, 2020 Jun.
Article in English | MEDLINE | ID: mdl-32104922

ABSTRACT

BACKGROUND: The 2013 ACC/AHA (American College of Cardiology/American Heart Association) cholesterol guidelines provided an evidence-based rationale for the allocation of lipid-lowering therapy based on risk for atherosclerotic cardiovascular disease (ASCVD). Adoption of these guidelines was initially suboptimal but whether this has improved over time remains unclear. HYPOTHESIS: Prevalence of guideline-based statin therapy will increase over time. METHODS: Electronic health record data were used to create two cross-sectional data sets of patients (age 40-75) served in 2013 and 2017 by a large health system. Data sets included demographics, clinical risk factors, lipid values, diagnostic codes, and active medication orders during each period. Prevalence of indications for statin therapy according to the ACC/AHA guidelines and statin prescriptions were compared between each time period. RESULTS: In 2013, of the 219 376 adults, 57.7% of patients met statin eligibility criteria, of which 61.3% were prescribed any statin and 19.0% a high intensity statin. Among those eligible, statin use was highest in those with established ASCVD (83.9%) and lowest in those with elevated ASCVD risk >7.5% (39.3%). In 2017, of the 256 074 adults, 62.3% were statin eligible, of which 62.3% were prescribed a statin and 24.3% a high intensity statin. In 2017, 66.4% of statin eligible men were prescribed a statin compared to 57.4% of statin eligible women (P < 0.001). The use of ezetimibe (3.6% in 2013, 2.4% in 2017) and protein convertase subtilisin/kexin type 9 inhibitors (<0.1% and 0.1%) was infrequent. CONCLUSION: In a large health system, guideline-based statin use has remained suboptimal. Improved strategies are needed to increase statin utilization in appropriate patients.


Subject(s)
Cardiovascular Diseases/epidemiology , Guideline Adherence , Hydroxymethylglutaryl-CoA Reductase Inhibitors/therapeutic use , Lipids/blood , Risk Assessment/methods , Adult , Aged , American Heart Association , Biomarkers/blood , Cardiology , Cardiovascular Diseases/blood , Cardiovascular Diseases/drug therapy , Cross-Sectional Studies , Female , Follow-Up Studies , Humans , Male , Middle Aged , Prevalence , Retrospective Studies , Risk Factors , United States/epidemiology
2.
Prev Med Rep ; 13: 332-340, 2019 Mar.
Article in English | MEDLINE | ID: mdl-30792949

ABSTRACT

Lifestyle significantly influences development of cardiovascular disease (CVD), but limited data exists demonstrating lifestyle improvements in community-based interventions. This study aims to document how lifestyle risk factors changed at the population level in the context of Heart of New Ulm (HONU), a community-based CVD prevention initiative in Minnesota. HONU intervened across worksites, healthcare and the community/environment to reduce CVD risk factors. HONU collected behavioral measures including smoking, physical activity, fruit/vegetable consumption, alcohol use and stress at heart health screenings from 2009 to 2014. All screenings were documented in the electronic health record (EHR). Changes at the community level for the target population (age 40-79) were estimated using weights created from EHR data and modeled using generalized estimating equation models. Screening participants were similar to the larger patient population with regard to age, race, and marital status, but were slightly healthier in regards to BMI, LDL cholesterol, blood pressure, and less likely to smoke. Community-level improvements were significant for physical activity (62.8% to 70.5%, p < 0.001) and 5+ daily fruit/vegetable servings (16.9% to 28.1%, p < 0.001), with no significant change in smoking, stress, alcohol or BMI. By leveraging local EHR data and integrating it with patient-reported outcomes, improvements in nutrition and physical activity were identified in the HONU population, but limited changes were noted for smoking, alcohol consumption and stress. Systematically documenting behaviors in the EHR will help healthcare systems impact the health of the communities they serve, both at the individual and population level.

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