Cardiovascular disease remains the leading cause of death and disability in the United States and globally. Disease burden continues to escalate despite technological advances associated with improved life expectancy and quality of life. As a result, longer life is associated with multiple chronic cardiovascular conditions. Clinical guidelines provide recommendations without considering prevalent scenarios of multimorbidity and health system complexities that affect practical adoption. The diversity of personal preferences, cultures, and lifestyles that make up one's social and environmental context is often overlooked in ongoing care planning for symptom management and health behavior support, hindering adoption and compromising patient outcomes, particularly in groups at high risk. The purpose of this scientific statement was to describe the characteristics and reported outcomes in existing person-centered care delivery models for selected cardiovascular conditions. We conducted a scoping review using Ovid MEDLINE, Embase.com, Web of Science, CINAHL Complete, Cochrane Central Register of Controlled Trials through Ovid, and ClinicalTrials.gov from 2010 to 2022. A range of study designs with a defined aim to systematically evaluate care delivery models for selected cardiovascular conditions were included. Models were selected on the basis of their stated use of evidence-based guidelines, clinical decision support tools, systematic evaluation processes, and inclusion of the patient's perspective in defining the plan of care. Findings reflected variation in methodological approach, outcome measures, and care processes used across models. Evidence to support optimal care delivery models remains limited by inconsistencies in approach, variation in reimbursement, and inability of health systems to meet the needs of patients with chronic, complex cardiovascular conditions.
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http://dx.doi.org/10.1161/CIR.0000000000001141 | DOI Listing |
Sleep
December 2024
Midwest Cardiovascular Institute, Naperville, Illinois, USA.
Central sleep apnea (CSA), a rare polysomnographic finding in the general population, is prevalent in certain cardiovascular conditions including systolic and diastolic left ventricular dysfunction, atrial fibrillation, coronary artery disease, carotid artery stenosis, stroke and use of certain cardiac-related medications. Polysomnographic findings of CSA with adverse cardiovascular impacts include nocturnal hypoxemia and arousals, which can lead to increased sympathetic activity both at night and in the daytime. Among cardiovascular diseases, CSA is most prevalent in patients with left ventricular systolic dysfunction; a large study of more than 900 treated patients has shown a dose dependent relationship between nocturnal desaturation and mortality.
View Article and Find Full Text PDFEur Heart J
December 2024
State Key Laboratory of Frigid Zone Cardiovascular Diseases (SKLFZCD), Key Laboratory of Myocardial Ischemia, Chinese Ministry of Education, Department of Cardiology of the Second Affiliated Hospital, Harbin Medical University, 246 Xuefu Road, Nangang District, Harbin 150086, Heilongjiang, China.
Background: Diffusion tensor imaging along perivascular spaces index (DTI-ALPS), which measures diffusivity increases in the perivascular spaces along the medullary veins, is being increasingly utilized as a surrogate marker of glymphatic clearance (Taoka et. al. Jpn J Radio 2017).
View Article and Find Full Text PDFAlzheimers Dement
December 2024
National Center for Neurological Disorders, Shanghai, Shanghai, China.
Background: The heart-brain connection has been proposed to correlate cardiac disorders with brain health. However, the associations between subclinical alterations in cardiac structure or function and Alzheimer's disease (AD) pathologies haven't been fully elucidated. This study aimed to delineate the interrelationships between the subclinical alterations in the left heart, cerebrospinal fluid (CSF) AD biomarkers, and cognition.
View Article and Find Full Text PDFBackground: Neurofilament Light Chain (NfL) is a blood biomarker of axonal injury and neurodegeneration that can be used in a variety of neurological disorders. Despite the potential clinical use of plasma NfL across multiple neurological disorders, there is increasing evidence that underlying comorbidities such as renal impairment associated with chronic kidney disease (CKD) and cardiovascular diseases can increase NfL concentrations. The objective of this study was to determine the relationship between plasma NfL concentrations and renal function (CKD staging) in individuals without known neurological conditions.
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