Literature DB >> 29361288

Comparisons of the Framingham and Pooled Cohort Equation Risk Scores for Detecting Subclinical Vascular Disease in Blacks Versus Whites.

Matthew L Topel1, Jia Shen1, Alanna A Morris1, Ibhar Al Mheid1, Salman Sher1, Sandra B Dunbar2, Viola Vaccarino3, Laurence S Sperling1, Gary H Gibbons4, Greg S Martin5, Arshed A Quyyumi6.   

Abstract

The pooled cohort Atherosclerotic Cardiovascular Disease (ASCVD) risk calculator is designed to improve cardiovascular risk estimation compared with the Framingham Risk Score, particularly in blacks. Although the ASCVD risk score better predicts mortality and incident cardiovascular disease in blacks, less is known about its performance for subclinical vascular disease measures, including arterial stiffness and carotid intima-media thickness. We sought to determine if the ASCVD risk score better identifies subclinical vascular disease in blacks compared with the Framingham risk score. We calculated both the Framingham and ASCVD cohort risk scores in 1,231 subjects (mean age 53 years, 59% female, 37% black) without known cardiovascular disease and measured the extent of arterial stiffness, as determined by pulse wave velocity (PWV), central pulse pressure (CPP), and central augmentation index (CAIx), and subclinical atherosclerosis, as determined by carotid-IMT (C-IMT). Compared with whites, blacks had higher CAIx (23.9 ± 10.2 vs 22.1 ± 9.6%, p = 0.004), CPP (36.4 ± 10.5 vs 34.9 ± 9.8 mmHg, p = 0.014), PWV (7.6 ± 1.5 vs 7.3 ± 1.3 m/s, p = 0.004), and C-IMT (0.67 ± 0.10 vs 0.65 ± 0.10 mm, p = 0.005). In a multivariable analysis including race and Framingham risk score, race remained an independent predictor of all measures of subclinical vascular disease; however, models with race and the ASCVD risk score showed that race was not an independent predictor of subclinical vascular disease. In conclusion, greater subclinical vascular disease in blacks was not estimated by the Framingham risk score. The new ASCVD risk score provided a better estimate of racial differences in vascular function and structure.
Copyright © 2017 Elsevier Inc. All rights reserved.

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Year:  2017        PMID: 29361288      PMCID: PMC5905433          DOI: 10.1016/j.amjcard.2017.11.031

Source DB:  PubMed          Journal:  Am J Cardiol        ISSN: 0002-9149            Impact factor:   2.778


  24 in total

1.  Validation of the Framingham coronary heart disease prediction scores: results of a multiple ethnic groups investigation.

Authors:  R B D'Agostino; S Grundy; L M Sullivan; P Wilson
Journal:  JAMA       Date:  2001-07-11       Impact factor: 56.272

2.  Validation of the atherosclerotic cardiovascular disease Pooled Cohort risk equations.

Authors:  Paul Muntner; Lisandro D Colantonio; Mary Cushman; David C Goff; George Howard; Virginia J Howard; Brett Kissela; Emily B Levitan; Donald M Lloyd-Jones; Monika M Safford
Journal:  JAMA       Date:  2014-04-09       Impact factor: 56.272

3.  The combined effect of augmentation index and carotid intima-media thickness on cardiovascular risk in young and middle-aged men without cardiovascular disease.

Authors:  K S Stamatelopoulos; D Kalpakos; A D Protogerou; C M Papamichael; I Ikonomidis; M Tsitsirikos; I Revela; T G Papaioannou; J P Lekakis
Journal:  J Hum Hypertens       Date:  2006-04       Impact factor: 3.012

4.  2013 ACC/AHA guideline on the assessment of cardiovascular risk: a report of the American College of Cardiology/American Heart Association Task Force on Practice Guidelines.

Authors:  David C Goff; Donald M Lloyd-Jones; Glen Bennett; Sean Coady; Ralph B D'Agostino; Raymond Gibbons; Philip Greenland; Daniel T Lackland; Daniel Levy; Christopher J O'Donnell; Jennifer G Robinson; J Sanford Schwartz; Susan T Shero; Sidney C Smith; Paul Sorlie; Neil J Stone; Peter W F Wilson; Harmon S Jordan; Lev Nevo; Janusz Wnek; Jeffrey L Anderson; Jonathan L Halperin; Nancy M Albert; Biykem Bozkurt; Ralph G Brindis; Lesley H Curtis; David DeMets; Judith S Hochman; Richard J Kovacs; E Magnus Ohman; Susan J Pressler; Frank W Sellke; Win-Kuang Shen; Sidney C Smith; Gordon F Tomaselli
Journal:  Circulation       Date:  2013-11-12       Impact factor: 29.690

5.  Carotid-wall intima-media thickness and cardiovascular events.

Authors:  Joseph F Polak; Michael J Pencina; Karol M Pencina; Christopher J O'Donnell; Philip A Wolf; Ralph B D'Agostino
Journal:  N Engl J Med       Date:  2011-07-21       Impact factor: 91.245

6.  The relation of digital vascular function to cardiovascular risk factors in African-Americans using digital tonometry: the Jackson Heart Study.

Authors:  Eric E McClendon; Solomon K Musani; Tandaw E Samdarshi; Sushant Khaire; Donny Stokes; Naomi M Hamburg; Koby Sheffy; Gary F Mitchell; Herman R Taylor; Emelia J Benjamin; Ervin R Fox
Journal:  J Am Soc Hypertens       Date:  2017-05-04

7.  Arterial stiffness and cardiovascular events: the Framingham Heart Study.

Authors:  Gary F Mitchell; Shih-Jen Hwang; Ramachandran S Vasan; Martin G Larson; Michael J Pencina; Naomi M Hamburg; Joseph A Vita; Daniel Levy; Emelia J Benjamin
Journal:  Circulation       Date:  2010-01-18       Impact factor: 29.690

8.  General cardiovascular risk profile for use in primary care: the Framingham Heart Study.

Authors:  Ralph B D'Agostino; Ramachandran S Vasan; Michael J Pencina; Philip A Wolf; Mark Cobain; Joseph M Massaro; William B Kannel
Journal:  Circulation       Date:  2008-01-22       Impact factor: 29.690

9.  The relationship between plasma levels of oxidized and reduced thiols and early atherosclerosis in healthy adults.

Authors:  Salman Ashfaq; Jerome L Abramson; Dean P Jones; Steven D Rhodes; William S Weintraub; W Craig Hooper; Viola Vaccarino; David G Harrison; Arshed A Quyyumi
Journal:  J Am Coll Cardiol       Date:  2006-02-09       Impact factor: 24.094

10.  Framingham risk score is related to carotid artery intima-media thickness in both white and black young adults: the Bogalusa Heart Study.

Authors:  Lyn Kieltyka; Elaine M Urbina; Rong Tang; M Gene Bond; Sathanur R Srinivasan; Gerald S Berenson
Journal:  Atherosclerosis       Date:  2003-09       Impact factor: 5.162

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  9 in total

1.  Influence of Stress, Gender, and Minority Status on Cardiovascular Disease Risk in the Hispanic/Latino Community: Protocol for a Longitudinal Observational Cohort Study.

Authors:  Tonia Poteat; Linda C Gallo; Audrey Harkness; Carmen R Isasi; Phoenix Matthews; Neil Schneiderman; Bharat Thyagarajan; Martha L Daviglus; Daniela Sotres-Alvarez; Krista M Perreira
Journal:  JMIR Res Protoc       Date:  2021-05-06

2.  Association of Endothelial Function with Parental Hypertension in Normotensive-Obese African-American Women: A Pilot Study.

Authors:  Vernon Bond; Karissa Becknel; Krishna Kumar; James Dorsey; Vasavi R Gorantla; Yulia A Volkova; Richard M Millis
Journal:  Adv Prev Med       Date:  2019-02-03

3.  Testosterone Level Reduction Increases the 10-Year Risk of Cardiovascular Diseases: A Retrospective Cohort Study in a Taiwanese Young Male Population.

Authors:  Han-Hsuan Yang; Shih-Kai Tu; Hsin-Hung Chen; Chia-Lien Hung; Chia-Wen Kuo; Yu-Tse Tsan; Wei-Min Chu; Meng-Chih Lee; Chun-Cheng Liao
Journal:  Front Cardiovasc Med       Date:  2022-04-14

Review 4.  Cardiovascular Risk Prediction Models and Scores in the Era of Personalized Medicine.

Authors:  Areti Sofogianni; Nikolaos Stalikas; Christina Antza; Konstantinos Tziomalos
Journal:  J Pers Med       Date:  2022-07-20

5.  Optimisation of lipids for prevention of cardiovascular disease in a primary care.

Authors:  Smita Bakhai; Aishwarya Bhardwaj; Parteet Sandhu; Jessica L Reynolds
Journal:  BMJ Open Qual       Date:  2018-08-13

6.  Biopsychosocial Mechanisms Linking Gender Minority Stress to HIV Comorbidities Among Black and Latina Transgender Women (LITE Plus): Protocol for a Mixed Methods Longitudinal Study.

Authors:  Ashleigh J Rich; Jennifer Williams; Mannat Malik; Andrea Wirtz; Sari Reisner; L Zachary DuBois; Robert Paul Juster; Catherine R Lesko; Nicole Davis; Keri N Althoff; Christopher Cannon; Kenneth Mayer; Ayana Elliott; Tonia Poteat
Journal:  JMIR Res Protoc       Date:  2020-04-13

7.  Comparative performance of pooled cohort equations and Framingham risk scores in cardiovascular disease risk classification in a slum setting in Nairobi Kenya.

Authors:  Frederick M Wekesah; Martin K Mutua; Daniel Boateng; Diederick E Grobbee; Gershim Asiki; Catherine K Kyobutungi; Kerstin Klipstein-Grobusch
Journal:  Int J Cardiol Heart Vasc       Date:  2020-04-28

8.  Cardiovascular Disease Risk Factor Burden During the Menopause Transition and Late Midlife Subclinical Vascular Disease: Does Race/Ethnicity Matter?

Authors:  Emma Barinas-Mitchell; Chunzhe Duan; Maria Brooks; Samar R El Khoudary; Rebecca C Thurston; Karen A Matthews; Elizabeth A Jackson; Tené T Lewis; Carol A Derby
Journal:  J Am Heart Assoc       Date:  2020-02-17       Impact factor: 5.501

9.  Chinese ASCVD risk equations rather than pooled cohort equations are better to identify macro- and microcirculation abnormalities.

Authors:  Qiaowei Li; Fan Lin; Zhonghai Gao; Feng Huang; Pengli Zhu
Journal:  BMC Cardiovasc Disord       Date:  2020-03-24       Impact factor: 2.298

  9 in total

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