Arterial Stiffness and Cardiometabolic-Based Chronic Disease: The Kardiovize Study |
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Affiliation: | 1. International Clinical Research Centre (ICRC), St Anne’s University Hospital Brno (FNUSA), Czech Republic;2. Department of Public Health, Faculty of Medicine, Masaryk University, Brno, Czech Republic;3. The Marie-Josée and Henry R. Kravis Center for Cardiovascular Health at Mount Sinai Heart, Icahn School of Medicine at Mount Sinai, New York, New York;4. Division of Endocrinology, Diabetes and Bone Disease, Icahn School of Medicine at Mount Sinai, New York, New York;5. Foundation for Clinic, Public Health, and Epidemiology Research of Venezuela (FISPEVEN INC), Caracas, Venezuela;6. Department of Global Health and Population, Harvard TH Chan School of Public Health, Harvard University, Boston, Massachusetts;7. LifeDoc Health, Memphis, Tennessee;8. Research Centre for Toxic Compounds in the Environment (RECETOX), Masaryk University, Brno, Czech Republic;9. Faculty of Sport Studies - Department of Health Support, Masaryk University, Brno, Czech Republic;10. Division of Preventive Cardiology, Department of Cardiovascular Medicine, Mayo Clinic, Minnesota |
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Abstract: | ObjectiveArterial stiffness (ArSt) describes a loss of arterial wall elasticity and is an independent predictor of cardiovascular events. A cardiometabolic-based chronic disease model integrates concepts of adiposity-based chronic disease (ABCD), dysglycemia-based chronic disease (DBCD), and cardiovascular disease. We assessed if ABCD and DBCD models detect more people with high ArSt compared with traditional adiposity and dysglycemia classifiers using the cardio-ankle vascular index (CAVI).MethodsWe evaluated 2070 subjects aged 25 to 64 years from a random population-based sample. Those with type 1 diabetes were excluded. ABCD and DBCD were defined, and ArSt risk was stratified based on the American Association of Clinical Endocrinologists criteria.ResultsThe highest prevalence of a high CAVI was in stage 2 ABCD (18.5%) and stage 4 DBCD (31.8%), and the lowest prevalence was in stage 0 ABCD (2.2%). In univariate analysis, stage 2 ABCD and all DBCD stages increased the risk of having a high CAVI compared with traditional classifiers. After adjusting for age and gender, only an inverse association between obesity (body mass index ≥30 kg/m2) and CAVI remained significant. Nevertheless, body mass index was responsible for only 0.3% of CAVI variability.ConclusionThe ABCD and DBCD models showed better performance than traditional classifiers to detect subjects with ArSt; however, the variables were not independently associated with age and gender, which might be explained by the complexity and multifactoriality of the relationship of CAVI with the ABCD and DBCD models, mediated by insulin resistance. |
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Keywords: | adiposity atherosclerosis cardio-ankle vascular index diabetes obesity type 2 diabetes ArSt" },{" #name" :" keyword" ," $" :{" id" :" kwrd0045" }," $$" :[{" #name" :" text" ," _" :" arterial stiffness ABCD" },{" #name" :" keyword" ," $" :{" id" :" kwrd0055" }," $$" :[{" #name" :" text" ," _" :" adiposity-based chronic disease ABI" },{" #name" :" keyword" ," $" :{" id" :" kwrd0065" }," $$" :[{" #name" :" text" ," _" :" ankle-brachial index AUC" },{" #name" :" keyword" ," $" :{" id" :" kwrd0075" }," $$" :[{" #name" :" text" ," _" :" area under the receiver operating characteristic curve BMI" },{" #name" :" keyword" ," $" :{" id" :" kwrd0085" }," $$" :[{" #name" :" text" ," _" :" body mass index BP" },{" #name" :" keyword" ," $" :{" id" :" kwrd0095" }," $$" :[{" #name" :" text" ," _" :" blood pressure CAVI" },{" #name" :" keyword" ," $" :{" id" :" kwrd0105" }," $$" :[{" #name" :" text" ," _" :" cardio-ankle vascular index CI" },{" #name" :" keyword" ," $" :{" id" :" kwrd0115" }," $$" :[{" #name" :" text" ," _" :" confidence interval CMBCD" },{" #name" :" keyword" ," $" :{" id" :" kwrd0125" }," $$" :[{" #name" :" text" ," _" :" cardiometabolic-based chronic disease CVD" },{" #name" :" keyword" ," $" :{" id" :" kwrd0135" }," $$" :[{" #name" :" text" ," _" :" cardiovascular disease DBCD" },{" #name" :" keyword" ," $" :{" id" :" kwrd0145" }," $$" :[{" #name" :" text" ," _" :" dysglycemia-based chronic disease HDL-C" },{" #name" :" keyword" ," $" :{" id" :" kwrd0155" }," $$" :[{" #name" :" text" ," _" :" high-density lipoprotein cholesterol LDL-C" },{" #name" :" keyword" ," $" :{" id" :" kwrd0165" }," $$" :[{" #name" :" text" ," _" :" low-density lipoprotein cholesterol IMT" },{" #name" :" keyword" ," $" :{" id" :" kwrd0175" }," $$" :[{" #name" :" text" ," _" :" intima-media thickness MetS" },{" #name" :" keyword" ," $" :{" id" :" kwrd0185" }," $$" :[{" #name" :" text" ," _" :" metabolic syndrome OR" },{" #name" :" keyword" ," $" :{" id" :" kwrd0195" }," $$" :[{" #name" :" text" ," _" :" odds ratio PWV" },{" #name" :" keyword" ," $" :{" id" :" kwrd0205" }," $$" :[{" #name" :" text" ," _" :" pulse wave velocity T2D" },{" #name" :" keyword" ," $" :{" id" :" kwrd0215" }," $$" :[{" #name" :" text" ," _" :" type 2 diabetes WC" },{" #name" :" keyword" ," $" :{" id" :" kwrd0225" }," $$" :[{" #name" :" text" ," _" :" waist circumference |
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