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1.
Circulation ; 148(20): 1606-1635, 2023 11 14.
Artículo en Inglés | MEDLINE | ID: mdl-37807924

RESUMEN

Cardiovascular-kidney-metabolic health reflects the interplay among metabolic risk factors, chronic kidney disease, and the cardiovascular system and has profound impacts on morbidity and mortality. There are multisystem consequences of poor cardiovascular-kidney-metabolic health, with the most significant clinical impact being the high associated incidence of cardiovascular disease events and cardiovascular mortality. There is a high prevalence of poor cardiovascular-kidney-metabolic health in the population, with a disproportionate burden seen among those with adverse social determinants of health. However, there is also a growing number of therapeutic options that favorably affect metabolic risk factors, kidney function, or both that also have cardioprotective effects. To improve cardiovascular-kidney-metabolic health and related outcomes in the population, there is a critical need for (1) more clarity on the definition of cardiovascular-kidney-metabolic syndrome; (2) an approach to cardiovascular-kidney-metabolic staging that promotes prevention across the life course; (3) prediction algorithms that include the exposures and outcomes most relevant to cardiovascular-kidney-metabolic health; and (4) strategies for the prevention and management of cardiovascular disease in relation to cardiovascular-kidney-metabolic health that reflect harmonization across major subspecialty guidelines and emerging scientific evidence. It is also critical to incorporate considerations of social determinants of health into care models for cardiovascular-kidney-metabolic syndrome and to reduce care fragmentation by facilitating approaches for patient-centered interdisciplinary care. This presidential advisory provides guidance on the definition, staging, prediction paradigms, and holistic approaches to care for patients with cardiovascular-kidney-metabolic syndrome and details a multicomponent vision for effectively and equitably enhancing cardiovascular-kidney-metabolic health in the population.


Asunto(s)
Enfermedades Cardiovasculares , Sistema Cardiovascular , Síndrome Metabólico , Estados Unidos/epidemiología , Humanos , Enfermedades Cardiovasculares/diagnóstico , Enfermedades Cardiovasculares/epidemiología , Enfermedades Cardiovasculares/prevención & control , Síndrome Metabólico/diagnóstico , Síndrome Metabólico/epidemiología , Síndrome Metabólico/terapia , American Heart Association , Factores de Riesgo , Riñón
2.
Am J Prev Cardiol ; 14: 100492, 2023 Jun.
Artículo en Inglés | MEDLINE | ID: mdl-37008590

RESUMEN

Background: Severe hypercholesterolemia (SH), defined as a low-density lipoprotein cholesterol (LDL-C) level ≥ 190 mg/dl, is associated with an increased risk for premature atherosclerotic cardiovascular disease. Despite guideline recommendations, many patients with severe hypercholesterolemia remain untreated. We conducted an observational analysis of a large pool of SH patients, exploring demographic and social factors contributing to disparities in the prescription of statin and other lipid-lowering therapies. Methods: We included all adults (age 18 or older) in the University Hospitals Health Care System, with an LDL-C ≥ 190 mg/dl on a lipid profile drawn between January 2, 2014, and March 15, 2022. Variables were compared across relevant categories of age, gender, race and ethnicity, medical history, prescription medication status, insurance type, and provider referral type. We used the Fischer exact test and Pearson Chi-square (χ 2) for variable comparisons. Results: A total of 7,942 patients were included in the study. The median age was 57 [IQR 48-66] years with 64% female, and 17% Black patients. Only 58% of the total cohort was prescribed statin therapy. Higher age was independently associated with a higher likelihood of receiving a statin, with an odds ratio of 1.25 (95% CI [1.21 - 1.30] per 10 years, p<0.001). Additional factors that were associated with higher rates of statin prescription in patients with SH were Black race (OR 1.90, 95% CI [1.65 - 2.17], p<0.001), smoking (OR 2.42, 95% CI [2.17 -2.70], p<0.001), and presence of diabetes (OR 3.88, 95% CI [3.27 - 4.60], p<0.001). Similar trends were also seen with other lipid-lowering therapies such as ezetimibe and fibrates. Conclusions: In our Northeast Ohio healthcare system, less than two-thirds of patients with severe hypercholesterolemia are prescribed a statin. Statin prescription rates were highly dependent on age and the presence of additional ASCVD risk factors.

3.
Front Cardiovasc Med ; 8: 785109, 2021.
Artículo en Inglés | MEDLINE | ID: mdl-34912869

RESUMEN

Background: Given rising morbidity, mortality, and costs due to heart failure (HF), new approaches for prevention are needed. A quantitative risk-based strategy, in line with established guidelines for atherosclerotic cardiovascular disease prevention, may efficiently select patients most likely to benefit from intensification of preventive care, but a risk-based strategy has not yet been applied to HF prevention. Methods and Results: The Feasibility of the Implementation of Tools for Heart Failure Risk Prediction (FIT-HF) pilot study will enroll 100 participants free of cardiovascular disease who receive primary care at a single integrated health system and have a 10-year predicted risk of HF of ≥5% based on the previously validated Pooled Cohort equations to Prevent Heart Failure. All participants will complete a health and lifestyle questionnaire and undergo cardiac biomarker (B-type natriuretic peptide [BNP] and high-sensitivity cardiac troponin I [hs-cTn]) and echocardiography screening at baseline and 1-year follow-up. Participants will be randomized 1:1 to either a pharmacist-led intervention or usual care for 1 year. Participants in the intervention arm will undergo consultation with a pharmacist operating under a collaborative practice agreement with a supervising cardiologist. The pharmacist will perform lifestyle counseling and recommend initiation or intensification of therapies to optimize risk factor (hypertension, diabetes, and cholesterol) management according to the most recent clinical practice guidelines. The primary outcome is change in BNP at 1-year, and secondary and exploratory outcomes include changes in hs-cTn, risk factor levels, and cardiac mechanics at follow-up. Feasibility will be examined by monitoring retention rates. Conclusions: The FIT-HF pilot study will offer insight into the feasibility of a strategy of quantitative risk-based enrollment into a pharmacist-led prevention program to reduce heart failure risk. Clinical Trial Registration: https://clinicaltrials.gov/ct2/show/NCT04684264.

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