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Effects of metabolic syndrome on arterial function in different age groups: the Advanced Approach to Arterial Stiffness study
J. Topouchian, C. Labat, S. Gautier, M. Bäck, A. Achimastos, J. Blacher, M. Cwynar, A. de la Sierra, D. Pall, F. Fantin, K. Farkas, L. Garcia-Ortiz, Z. Hakobyan, P. Jankowski, A. Jelakovic, Z. Kobalava, A. Konradi, Y. Kotovskaya, M. Kotsani, I....
Language English Country England, Great Britain
Document type Journal Article, Multicenter Study, Research Support, Non-U.S. Gov't
- MeSH
- Pulse Wave Analysis MeSH
- Arteries physiopathology MeSH
- Adult MeSH
- Dyslipidemias physiopathology MeSH
- Hyperglycemia physiopathology MeSH
- Hypertension physiopathology MeSH
- Blood Glucose metabolism MeSH
- Blood Pressure MeSH
- Middle Aged MeSH
- Humans MeSH
- Lipoproteins, HDL blood MeSH
- Metabolic Syndrome physiopathology MeSH
- Obesity physiopathology MeSH
- Prospective Studies MeSH
- Aged, 80 and over MeSH
- Aged MeSH
- Case-Control Studies MeSH
- Ankle Brachial Index MeSH
- Triglycerides blood MeSH
- Vascular Stiffness * MeSH
- Age Factors MeSH
- Check Tag
- Adult MeSH
- Middle Aged MeSH
- Humans MeSH
- Male MeSH
- Aged, 80 and over MeSH
- Aged MeSH
- Female MeSH
- Publication type
- Journal Article MeSH
- Multicenter Study MeSH
- Research Support, Non-U.S. Gov't MeSH
OBJECTIVE: The aim of the Advanced Approach to Arterial Stiffness study was to compare arterial stiffness measured simultaneously with two different methods in different age groups of middle-aged and older adults with or without metabolic syndrome (MetS). The specific effects of the different MetS components on arterial stiffness were also studied. METHODS: This prospective, multicentre, international study included 2224 patients aged 40 years and older, 1664 with and 560 without MetS. Patients were enrolled in 32 centres from 18 European countries affiliated to the International Society of Vascular Health & Aging. Arterial stiffness was evaluated using the cardio-ankle vascular index (CAVI) and the carotid-femoral pulse wave velocity (CF-PWV) in four prespecified age groups: 40-49, 50-59, 60-74, 75-90 years. In this report, we present the baseline data of this study. RESULTS: Both CF-PWV and CAVI increased with age, with a higher correlation coefficient for CAVI (comparison of coefficients P < 0.001). Age-adjusted and sex-adjusted values of CF-PWV and CAVI were weakly intercorrelated (r = 0.06, P < 0.001). Age-adjusted and sex-adjusted values for CF-PWV but not CAVI were higher in presence of MetS (CF-PWV: 9.57 ± 0.06 vs. 8.65 ± 0.10, P < 0.001; CAVI: 8.34 ± 0.03 vs. 8.29 ± 0.04, P = 0.40; mean ± SEM; MetS vs. no MetS). The absence of an overall effect of MetS on CAVI was related to the heterogeneous effects of the components of MetS on this parameter: CAVI was positively associated with the high glycaemia and high blood pressure components, whereas lacked significant associations with the HDL and triglycerides components while exhibiting a negative association with the overweight component. In contrast, all five MetS components showed positive associations with CF-PWV. CONCLUSION: This large European multicentre study reveals a differential impact of MetS and age on CAVI and CF-PWV and suggests that age may have a more pronounced effect on CAVI, whereas MetS increases CF-PWV but not CAVI. This important finding may be due to heterogeneous effects of MetS components on CAVI. The clinical significance of these original results will be assessed during the longitudinal phase of the study.
Almazov Federal Medical Research Centre St Petersburg
Cardiology Centre P Stradins University Hospital Riga Latvia
Cardiovascular Institute Belgrade Serbia
Center for Cardiovascular Prevention Charles University and Thomayer Hospital Prague Czech Republic
Centre of Preventive Cardiology Institute of Cardiology Yerevan Armenia
Department of Geriatrics CHRU Nancy University Hospital of Nancy Nancy France
Department of Internal Medicine and Cardiology Hopital 64 RUDN University Moscow
Department of Internal Medicine Hospital Mutua Terrassa University of Barcelona Terrassa Spain
Department of Medicine University of Debrecen Debrecen Hungary
Diagnosis and Therapeutic Center Paris Descartes University AP HP Hôtel Dieu Paris
Foundation Medical Research Institutes Paris France
Inserm U1116 Université de Lorraine
Institute of Cardiology Kiev Ukraine
Karolinska University Hospital Cardiology Department Stockholm Sweden
Policlinicio Tor Vergata Universita di Roma Tor Vergata Roma Italy
Republican Scientific and Practice Centre 'Cardiology' Minsk Belarus
Russian Cardiology Research and Production Complex Moscow
Scientific and Research Institute of Cardiology and Internal Diseases Almaty Kazakhstan
Section of Geriatric Medicine Department of Medicine University of Verona Verona Italy
References provided by Crossref.org
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- $a OBJECTIVE: The aim of the Advanced Approach to Arterial Stiffness study was to compare arterial stiffness measured simultaneously with two different methods in different age groups of middle-aged and older adults with or without metabolic syndrome (MetS). The specific effects of the different MetS components on arterial stiffness were also studied. METHODS: This prospective, multicentre, international study included 2224 patients aged 40 years and older, 1664 with and 560 without MetS. Patients were enrolled in 32 centres from 18 European countries affiliated to the International Society of Vascular Health & Aging. Arterial stiffness was evaluated using the cardio-ankle vascular index (CAVI) and the carotid-femoral pulse wave velocity (CF-PWV) in four prespecified age groups: 40-49, 50-59, 60-74, 75-90 years. In this report, we present the baseline data of this study. RESULTS: Both CF-PWV and CAVI increased with age, with a higher correlation coefficient for CAVI (comparison of coefficients P < 0.001). Age-adjusted and sex-adjusted values of CF-PWV and CAVI were weakly intercorrelated (r = 0.06, P < 0.001). Age-adjusted and sex-adjusted values for CF-PWV but not CAVI were higher in presence of MetS (CF-PWV: 9.57 ± 0.06 vs. 8.65 ± 0.10, P < 0.001; CAVI: 8.34 ± 0.03 vs. 8.29 ± 0.04, P = 0.40; mean ± SEM; MetS vs. no MetS). The absence of an overall effect of MetS on CAVI was related to the heterogeneous effects of the components of MetS on this parameter: CAVI was positively associated with the high glycaemia and high blood pressure components, whereas lacked significant associations with the HDL and triglycerides components while exhibiting a negative association with the overweight component. In contrast, all five MetS components showed positive associations with CF-PWV. CONCLUSION: This large European multicentre study reveals a differential impact of MetS and age on CAVI and CF-PWV and suggests that age may have a more pronounced effect on CAVI, whereas MetS increases CF-PWV but not CAVI. This important finding may be due to heterogeneous effects of MetS components on CAVI. The clinical significance of these original results will be assessed during the longitudinal phase of the study.
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