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Vascular biomarkers, including the cardio-ankle vascular index (CAVI), are increasingly being recognized as important indicators of cardiovascular risk. CAVI has been shown to have good discriminative ability for detecting new-onset hypertension, but results of studies investigating cardiovascular risk prediction are inconsistent. Furthermore, there is a lack of data on the prognostic value of changes in CAVI over time. The Cardiovascular Prognostic Coupling study was designed to determine the impact of baseline CAVI and changes in CAVI on cardiovascular events in a Japanese cohort. The design of the ongoing, multicenter, prospective, observational registry and baseline characteristics of the enrolled population are reported. Eligible consecutive patients were aged ≥30 years, had ≥1 cardiovascular risk factor, and were being treated according to relevant Japanese guidelines. The primary outcome is time to onset of a major cardiovascular event (a composite of cerebral infarction, cerebral hemorrhage, subarachnoid hemorrhage, stroke of unknown etiology, myocardial infarction, cardiovascular intervention for angina pectoris, and sudden death). Screening and enrollment occurred over a period of 3 years, followed by ≥7 years of follow-up, with CAVI determined annually. A total of 5279 patients were registered, of whom 5109 had baseline data available and will be included in future analyses. Mean CAVI at baseline was 8.8 ± 1.4. The proportion of patients with CAVI of <8, 8-10 or >10 was 25.3%, 57.0%, and 17.7%, respectively. Data from this registry should provide information on the significance of baseline CAVI and change in CAVI as indicators of cardiovascular prognosis in a representative patient population.
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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8029964 | PMC |
http://dx.doi.org/10.1111/jch.13764 | DOI Listing |
Arterioscler Thromb Vasc Biol
September 2025
Institute of Cardiovascular Diseases and Department of Cardiology, Ultrasound in Cardiac Electrophysiology and Biomechanics Key Laboratory of Sichuan Province, Sichuan Provincial People's Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu (K.L., H.M., W.J
Background: The estimated glucose disposal rate (eGDR) is a validated surrogate marker of insulin resistance. However, its association with stroke and dementia in nondiabetic populations remains insufficiently investigated.
Methods: This prospective cohort study included nondiabetic participants from the UK Biobank.
Circ Genom Precis Med
September 2025
Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, China (J.Z., S.R., L.C., M.C., F.T., B.A., Y.Y., H.L.).
Background: Previous studies have suggested that the associations between ambient air pollution and atherosclerotic cardiovascular diseases (ASCVD) differ by genotype. A genome-wide approach provides a more comprehensive understanding of this relationship on a genomic scale.
Methods: Using data from ≈300 000 UK Biobank participants, we conducted a genome-wide interaction analysis on 10 745 802 variants.
Circ Genom Precis Med
September 2025
Division of Cardiology, Emory University School of Medicine, Atlanta, GA. (A.K.Y., A.C.R., L.S.S., A.A.Q., Y.V.S.).
Background: Cardio-kidney-metabolic (CKM) disease represents a significant public health challenge. While proteomics-based risk scores (ProtRS) enhance cardiovascular risk prediction, their utility in improving risk prediction for a composite CKM outcome beyond traditional risk factors remains unknown.
Methods: We analyzed 23 815 UK Biobank participants without baseline CKM disease, defined by -Tenth Revision codes as cardiovascular disease (coronary artery disease, heart failure, stroke, peripheral arterial disease, atrial fibrillation/flutter), kidney disease (chronic kidney disease or end-stage renal disease), or metabolic disease (type 2 diabetes or obesity).
Circ Cardiovasc Interv
September 2025
Keele Cardiovascular Research Group, Keele University, United Kingdom (M.A.M., R.B.).
Background: Evidence informing clinical guidelines assumes that all transcatheter aortic valve implantation (TAVI) devices have similar effectiveness, in other words, displaying a class effect across TAVI valves. We aimed to assess the comparative effectiveness of different TAVI platforms relative to other TAVI counterparts or surgical aortic valve replacement (SAVR).
Methods: MEDLINE/Embase/CENTRAL were searched from inception until April 2025, for randomized controlled trials comparing outcomes with different commercially available TAVI devices relative to other TAVI counterparts or SAVR.
Circ Genom Precis Med
September 2025
Feinberg School of Medicine, Northwestern University, Chicago, IL (Z.C., P.G., A.G., G.W.).
Background: Genetic variation contributes to atrial fibrillation (AF), but its impact may vary with age. The Research Program contains whole-genome sequencing of data from 100 574 adult participants with linked electronic health records.
Methods: We assessed clinical, monogenic, and polygenic associations with AF in a cross-sectional analysis, stratified by age: <45 years (n=22 290), 45 to 60 years (n=26 805), and >60 years (n=51 659).