Ovidiu Mitu1,2, Adrian Crisan2, Simon Redwood3, Ioan-Elian Cazacu-Davidescu4, Ivona Mitu5, Irina-Iuliana Costache1,2, Viviana Onofrei1,2, Radu-Stefan Miftode1,2, Alexandru-Dan Costache1,6, Cristian Mihai Stefan Haba1,2, Florin Mitu1,6. 1. 1st Medical Department, Faculty of Medicine, University of Medicine and Pharmacy "Grigore T. Popa", 700115 Iasi, Romania. 2. Department of Cardiology, Clinical Emergency Hospital "Sf. Spiridon", 700111 Iasi, Romania. 3. Department of Cardiology, St. Thomas' Hospital, Westminster Bridge Road, London SE1 7EH, UK. 4. Department of Cardiology, Clinical Emergency Hospital, 8 Calea Floreasca, 014475 Bucharest, Romania. 5. Department of Morpho-Functional Sciences II, Faculty of Medicine, University of Medicine and Pharmacy "Grigore T. Popa", 700115 Iasi, Romania. 6. Department of Cardiovascular Rehabilitation, Clinical Hospital of Rehabilitation, 700661 Iasi, Romania.
Abstract
BACKGROUND: The current cardiovascular disease (CVD) primary prevention guidelines prioritize risk stratification by using clinical risk scores. However, subclinical atherosclerosis may rest long term undetected. This study aimed to evaluate multiple subclinical atherosclerosis parameters in relation to several CV risk scores in asymptomatic individuals. METHODS: A cross-sectional, single-center study included 120 asymptomatic CVD subjects. Four CVD risk scores were computed: SCORE, Framingham, QRISK, and PROCAM. Subclinical atherosclerosis has been determined by carotid intima-media thickness (cIMT), pulse wave velocity (PWV), aortic and brachial augmentation indexes (AIXAo, respectively AIXbr), aortic systolic blood pressure (SBPao), and ankle-brachial index (ABI). RESULTS: The mean age was 52.01 ± 10.73 years. For cIMT-SCORE was more sensitive; for PWV-Framingham score was more sensitive; for AIXbr-QRISK and PROCAM were more sensitive while for AIXao-QRISK presented better results. As for SBPao-SCORE presented more sensitive results. However, ABI did not correlate with any CVD risk score. CONCLUSIONS: All four CV risk scores are associated with markers of subclinical atherosclerosis in asymptomatic population, except for ABI, with specific particularities for each CVD risk score. Moreover, we propose specific cut-off values of CV risk scores that may indicate the need for subclinical atherosclerosis assessment.
BACKGROUND: The current cardiovascular disease (CVD) primary prevention guidelines prioritize risk stratification by using clinical risk scores. However, subclinical atherosclerosis may rest long term undetected. This study aimed to evaluate multiple subclinical atherosclerosis parameters in relation to several CV risk scores in asymptomatic individuals. METHODS: A cross-sectional, single-center study included 120 asymptomatic CVD subjects. Four CVD risk scores were computed: SCORE, Framingham, QRISK, and PROCAM. Subclinical atherosclerosis has been determined by carotid intima-media thickness (cIMT), pulse wave velocity (PWV), aortic and brachial augmentation indexes (AIXAo, respectively AIXbr), aortic systolic blood pressure (SBPao), and ankle-brachial index (ABI). RESULTS: The mean age was 52.01 ± 10.73 years. For cIMT-SCORE was more sensitive; for PWV-Framingham score was more sensitive; for AIXbr-QRISK and PROCAM were more sensitive while for AIXao-QRISK presented better results. As for SBPao-SCORE presented more sensitive results. However, ABI did not correlate with any CVD risk score. CONCLUSIONS: All four CV risk scores are associated with markers of subclinical atherosclerosis in asymptomatic population, except for ABI, with specific particularities for each CVD risk score. Moreover, we propose specific cut-off values of CV risk scores that may indicate the need for subclinical atherosclerosis assessment.
Authors: Kirsten Bibbins-Domingo; David C Grossman; Susan J Curry; Karina W Davidson; John W Epling; Francisco A R García; Matthew W Gillman; Alex R Kemper; Alex H Krist; Ann E Kurth; C Seth Landefeld; Michael L LeFevre; Carol M Mangione; William R Phillips; Douglas K Owens; Maureen G Phipps; Michael P Pignone Journal: JAMA Date: 2016-11-15 Impact factor: 56.272
Authors: Yukio Abe; Tanja Rundek; Robert R Sciacca; Zhezhen Jin; Ralph L Sacco; Shunichi Homma; Marco R Di Tullio Journal: Am J Cardiol Date: 2006-10-05 Impact factor: 2.778