Literature DB >> 23124516

The utilization of carotid artery imaging beyond metabolic scores and high-sensitivity CRP in screening intermediate-to-high Framingham risk of asymptomatic Taiwanese population.

Chung-Lieh Hung1, Helen L Po, Chun-Chun Liu, Chih-Hsuan Yen, Yih-Jer Wu, Charles Jia-Yin Hou, Jen-Yuan Kuo, Hung-I Yeh, Syi Su.   

Abstract

To compare the diagnostic accuracy of various cardiovascular screening tools in asymptomatic subjects with intermediate-to-high risk Framingham risk score (FRS). In addition, we also investigated whether carotid artery study could further add incremental value beyond metabolic abnormality and inflammatory marker in this issue. 1,200 asymptomatic subjects who underwent health evaluation were recruited in our study. FRS was calculated in all participants based on clinical variables, body surface electrocardiography, medical histories, and life styles. Metabolic scores, serum high-sensitivity C reactive protein (hs-CRP) level and carotid artery study in assessing intima-media-thickness (CIMT) and plaque were all obtained and compared to FRS. Comparison of diagnostic accuracy was then conducted among these different tools aiming at a more efficient screen in identifying intermediate-to-high FRS. Of all, 1,101 participants (mean age 50.6 ± 10.4, 38.6 % women) were finally entered in our study after exclusion of known cardiovascular diseases. By utilizing common carotid IMT (CCIMT) equal or larger than 1 mm, best specificity (98.27, 95 % CI 97.24-98.99) was achieved in identifying intermediate-to-high FRS subject. The most optimal cut-off in identifying intermediate-to-high FRS for metabolic scores, hs-CRP and CCIMT was 2, 0.101 mg/dL and 0.65 mm, respectively. Both receiver operating characteristic curve and likelihood ratio tests showed that information provided by carotid artery study further showed significant incremental value when superimposed on metabolic scores and hs-CRP (all p < 0.05) in screening intermediate-to-high FRS subjects. Though diagnostic accuracy may differ to some degree by using different cut-off values, a low metabolic score seemed to have the best sensitivity with abnormal CCIMT yielded highest specificity in screening a subject with future cardiovascular risks. Carotid artery study added significant clinical incremental value in discriminating projected risk beyond metabolic scores and hs-CRP.

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Year:  2012        PMID: 23124516     DOI: 10.1007/s10554-012-0146-x

Source DB:  PubMed          Journal:  Int J Cardiovasc Imaging        ISSN: 1569-5794            Impact factor:   2.357


  28 in total

1.  An updated coronary risk profile. A statement for health professionals.

Authors:  K M Anderson; P W Wilson; P M Odell; W B Kannel
Journal:  Circulation       Date:  1991-01       Impact factor: 29.690

2.  Carotid intima-media thickness and coronary heart disease risk factors in a low-risk population.

Authors:  J Ferrières; A Elias; J B Ruidavets; C Cantet; V Bongard; J Fauvel; H Boccalon
Journal:  J Hypertens       Date:  1999-06       Impact factor: 4.844

Review 3.  Comprehensive coronary risk determination in primary prevention: an imaging and clinical based definition combining computed tomographic coronary artery calcium score and national cholesterol education program risk score.

Authors:  Khurram Nasir; Chandra Vasamreddy; Roger S Blumenthal; John A Rumberger
Journal:  Int J Cardiol       Date:  2005-11-21       Impact factor: 4.164

4.  Prediction of coronary heart disease using risk factor categories.

Authors:  P W Wilson; R B D'Agostino; D Levy; A M Belanger; H Silbershatz; W B Kannel
Journal:  Circulation       Date:  1998-05-12       Impact factor: 29.690

5.  Association of coronary heart disease incidence with carotid arterial wall thickness and major risk factors: the Atherosclerosis Risk in Communities (ARIC) Study, 1987-1993.

Authors:  L E Chambless; G Heiss; A R Folsom; W Rosamond; M Szklo; A R Sharrett; L X Clegg
Journal:  Am J Epidemiol       Date:  1997-09-15       Impact factor: 4.897

6.  An assessment of incremental coronary risk prediction using C-reactive protein and other novel risk markers: the atherosclerosis risk in communities study.

Authors:  Aaron R Folsom; Lloyd E Chambless; Christie M Ballantyne; Josef Coresh; Gerardo Heiss; Kenneth K Wu; Eric Boerwinkle; Thomas H Mosley; Paul Sorlie; Guoqing Diao; A Richey Sharrett
Journal:  Arch Intern Med       Date:  2006-07-10

7.  Adding social deprivation and family history to cardiovascular risk assessment: the ASSIGN score from the Scottish Heart Health Extended Cohort (SHHEC).

Authors:  Mark Woodward; Peter Brindle; Hugh Tunstall-Pedoe
Journal:  Heart       Date:  2006-11-07       Impact factor: 5.994

8.  Carotid atherosclerosis, intima media thickness and risk factors--an analysis of 1781 asymptomatic subjects in Taiwan.

Authors:  Yu Sun; Cheng-Huai Lin; Chien-Jung Lu; Ping-Keung Yip; Rong-Chi Chen
Journal:  Atherosclerosis       Date:  2002-09       Impact factor: 5.162

9.  Carotid intima-media thickness and coronary artery calcium score as indications of subclinical atherosclerosis.

Authors:  Steven J Lester; Mackram F Eleid; Bijoy K Khandheria; R Todd Hurst
Journal:  Mayo Clin Proc       Date:  2009-03       Impact factor: 7.616

10.  Cardiovascular death and the metabolic syndrome: role of adiposity-signaling hormones and inflammatory markers.

Authors:  Claudia Langenberg; Jaclyn Bergstrom; Christa Scheidt-Nave; Johannes Pfeilschifter; Elizabeth Barrett-Connor
Journal:  Diabetes Care       Date:  2006-06       Impact factor: 19.112

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  3 in total

1.  Paraoxonase (PON1) activity in patients with subclinical thoracic aortic atherosclerosis.

Authors:  Mustafa Gür; Murat Çaylı; Hakan Uçar; Zafer Elbasan; Durmuş Yıldıray Şahin; Mehmet Yavuz Gözükara; Şahbettin Selek; Nermin Yıldız Koyunsever; Taner Şeker; Caner Türkoğlu; Onur Kaypaklı; Nurten Aksoy
Journal:  Int J Cardiovasc Imaging       Date:  2014-04-04       Impact factor: 2.357

2.  Tailoring the implementation of new biomarkers based on their added predictive value in subgroups of individuals.

Authors:  A van Giessen; K G M Moons; G A de Wit; W M M Verschuren; J M A Boer; H Koffijberg
Journal:  PLoS One       Date:  2015-01-26       Impact factor: 3.240

3.  Circulating Monocyte Count as a Surrogate Marker for Ventricular-Arterial Remodeling and Incident Heart Failure with Preserved Ejection Fraction.

Authors:  Kuang-Te Wang; Yen-Yu Liu; Kuo-Tzu Sung; Chuan-Chuan Liu; Cheng-Huang Su; Ta-Chuan Hung; Chung-Lieh Hung; Chen-Yen Chien; Hung-I Yeh
Journal:  Diagnostics (Basel)       Date:  2020-05-08
  3 in total

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