Qiaowei Li1, Fan Lin1, Douli Ke1, Qiong Cheng2, Yongzhi Gui1, Yuyan Zhou1, Yicheng Wu1, Yinzhou Wang2, Pengli Zhu1. 1. Shengli Clinical Medical College of Fujian Medical University, Department of Geriatric Medicine, Fujian Provincial Hospital, Fujian Institute of Clinical Geriatrics, Fujian Provincial Center for Geriatrics. 2. Department of Neurology, Fujian Provincial Hospital, Fujian Provincial Center for Geriatrics, Shengli Clinical Medical College of Fujian Medical University.
Abstract
AIM: Our study investigated the association between soluble endoglin and carotid subclinical atherosclerosis. METHODS: We used endoglin as an adjunct to atherosclerotic cardiovascular disease (ASCVD) risk, in recognition of carotid clinical atherosclerosis, in order to explore a new model to refine risk assessment. Out of 3,452 participants, 978 subjects with detected soluble endoglin were enrolled in a cross-sectional investigation in Fujian Province were enrolled. Soluble endoglin concentration in serum samples was evaluated using an enzyme-linked immunosorbent assay method. Carotid ultrasonography was used to detect intima-media thickness and carotid plaque. RESULTS: The mean 10-year ASCVD risk by the new Pooled Cohort Equations accounted for 10.04% (±12.35). The mean soluble endoglin level was 15.35 ng/ml (±6.64). Multivariable regression demonstrated that age, systolic blood pressure, diastolic blood pressure, total cholesterol, high density lipoprotein cholesterol, and serum uric acid were independent determinants of soluble endoglin. Adding tests of ASCVD and endoglin together, in parallel, will increase the sensitivity and decrease specificity in recognizing carotid subclinical atherosclerosis. Evaluating the added value of endoglin to the ASCVD risk model showed significantly improved discrimination with analysis of C-statistics, continuous net reclassification index and integrated discrimination index. Both ASCVD risk and soluble endoglin showed positively linear correlation with carotid intima-media thickness (cIMT) (β=0.006, P＜0.001; β=0.485, P＜0.001). Even with adjustment for other factors, the relationship between log-transformed soluble endoglin with cIMT was still significant (β=0.369, P＜0.001). CONCLUSIONS: The combination of ASCVD risk and endoglin levels increases carotid atherosclerosis recognition.
AIM: Our study investigated the association between soluble endoglin and carotid subclinical atherosclerosis. METHODS: We used endoglin as an adjunct to atherosclerotic cardiovascular disease (ASCVD) risk, in recognition of carotid clinical atherosclerosis, in order to explore a new model to refine risk assessment. Out of 3,452 participants, 978 subjects with detected soluble endoglin were enrolled in a cross-sectional investigation in Fujian Province were enrolled. Soluble endoglin concentration in serum samples was evaluated using an enzyme-linked immunosorbent assay method. Carotid ultrasonography was used to detect intima-media thickness and carotid plaque. RESULTS: The mean 10-year ASCVD risk by the new Pooled Cohort Equations accounted for 10.04% (±12.35). The mean soluble endoglin level was 15.35 ng/ml (±6.64). Multivariable regression demonstrated that age, systolic blood pressure, diastolic blood pressure, total cholesterol, high density lipoprotein cholesterol, and serum uric acid were independent determinants of soluble endoglin. Adding tests of ASCVD and endoglin together, in parallel, will increase the sensitivity and decrease specificity in recognizing carotid subclinical atherosclerosis. Evaluating the added value of endoglin to the ASCVD risk model showed significantly improved discrimination with analysis of C-statistics, continuous net reclassification index and integrated discrimination index. Both ASCVD risk and soluble endoglin showed positively linear correlation with carotid intima-media thickness (cIMT) (β=0.006, P＜0.001; β=0.485, P＜0.001). Even with adjustment for other factors, the relationship between log-transformed soluble endoglin with cIMT was still significant (β=0.369, P＜0.001). CONCLUSIONS: The combination of ASCVD risk and endoglin levels increases carotid atherosclerosis recognition.
Authors: Vijay Nambi; Lloyd Chambless; Aaron R Folsom; Max He; Yijuan Hu; Tom Mosley; Kelly Volcik; Eric Boerwinkle; Christie M Ballantyne Journal: J Am Coll Cardiol Date: 2010-04-13 Impact factor: 24.094
Authors: Milan Blaha; Melanie Cermanova; Vladimir Blaha; Petr Jarolim; Ctirad Andrys; Martin Blazek; Jaroslav Maly; Lukas Smolej; Jiri Zajic; Vladimir Masin; Renata Zimova; Vit Rehacek Journal: Atherosclerosis Date: 2007-05-30 Impact factor: 5.162
Authors: Ana M Blázquez-Medela; Luis García-Ortiz; Manuel A Gómez-Marcos; José I Recio-Rodríguez; Angel Sánchez-Rodríguez; José M López-Novoa; Carlos Martínez-Salgado Journal: BMC Med Date: 2010-12-20 Impact factor: 8.775
Authors: Ignacio Cruz-Gonzalez; Pedro Pabón; Alicia Rodríguez-Barbero; Javier Martín-Moreiras; Miguel Pericacho; Pedro L Sánchez; Victor Ramirez; María Sánchez-Ledesma; Francisco Martín-Herrero; Javier Jiménez-Candil; Andrew O Maree; Angel Sánchez-Rodríguez; Cándido Martín-Luengo; José M López-Novoa Journal: J Cell Mol Med Date: 2008-06 Impact factor: 5.310
Authors: Eunate Gallardo-Vara; Luis Gamella-Pozuelo; Lucía Perez-Roque; José L Bartha; Irene Garcia-Palmero; J Ignacio Casal; José M López-Novoa; Miguel Pericacho; Carmelo Bernabeu Journal: Cells Date: 2020-04-16 Impact factor: 6.600