Literature DB >> 28150104

Assessment of six cardiovascular risk calculators in Mexican mestizo patients with rheumatoid arthritis according to the EULAR 2015/2016 recommendations for cardiovascular risk management.

Dionicio A Galarza-Delgado1, Jose R Azpiri-Lopez2, Iris J Colunga-Pedraza3, Jesus A Cardenas-de la Garza4, Raymundo Vera-Pineda2, Griselda Serna-Peña4, Rosa I Arvizu-Rivera4, Adrian Martinez-Moreno2, Martin Wah-Suarez4, Mario A Garza Elizondo3.   

Abstract

Variability of the 10-year cardiovascular (CV) risk predicted by the Framingham Risk Score (FRS) using lipids, FRS using body mass index (BMI), Reynolds Risk Score (RRS), QRISK2, Extended Risk Score-Rheumatoid Arthritis (ERS-RA), and algorithm developed by the American College of Cardiology and the American Heart Association in 2013 (ACC/AHA 2013) according to the European League Against Rheumatism (EULAR) 2015/2016 update of its evidence-based recommendations for cardiovascular risk management in patients with rheumatoid arthritis (RA) has not been evaluated in Mexican mestizo patients. CV risk was predicted using six different risk calculators in 116 patients, aged 40-75, who fulfilled the ACR/EULAR 2010 classification criteria. Results were multiplied by 1.5 according to the EULAR 2015/2016 update. Global comparison of the risk predicted by all scales was done using the Friedman test, considering a P value of ≤0.05 as statistically significant. Individual comparison between the algorithms was made using the Wilcoxon signed-rank test, and a P value of ≤0.003 was considered statistically significant. All calculators showed to be different in the Friedman test (p ≤ 0.001). Median values of predicted 10-year CV risk were 11.02% (6.18-17.55) for FRS BMI; 8.47% (4.6-13.16) for FRS lipids; 5.55% (2.5-11.85) for QRISK2; 5% (3.1-8.65) for ERS-RA; 3.6% (1.5-9.3) for ACC/AHA 2013; and 1.5% (1.5-4.5) for RRS. ERS-RA showed no difference when compared against QRISK2 (p = 0.269). CV risk calculators showed variability among them and cannot be used indistinctly in RA-patients.

Entities:  

Keywords:  Cardiovascular diseases; Rheumatoid arthritis; Risk assessment

Mesh:

Year:  2017        PMID: 28150104     DOI: 10.1007/s10067-017-3551-7

Source DB:  PubMed          Journal:  Clin Rheumatol        ISSN: 0770-3198            Impact factor:   2.980


  22 in total

1.  Sex/gender differences in cardiovascular disease prevention: what a difference a decade makes.

Authors:  Lori Mosca; Elizabeth Barrett-Connor; Nanette Kass Wenger
Journal:  Circulation       Date:  2011-11-08       Impact factor: 29.690

2.  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

3.  EULAR evidence-based recommendations for cardiovascular risk management in patients with rheumatoid arthritis and other forms of inflammatory arthritis.

Authors:  M J L Peters; D P M Symmons; D McCarey; B A C Dijkmans; P Nicola; T K Kvien; I B McInnes; H Haentzschel; M A Gonzalez-Gay; S Provan; A Semb; P Sidiropoulos; G Kitas; Y M Smulders; M Soubrier; Z Szekanecz; N Sattar; M T Nurmohamed
Journal:  Ann Rheum Dis       Date:  2009-09-22       Impact factor: 19.103

4.  Inflammation and lipid profile in rheumatoid arthritis: bridging an apparent paradox.

Authors:  Miguel A González-Gay; Carlos González-Juanatey
Journal:  Ann Rheum Dis       Date:  2014-07       Impact factor: 19.103

5.  Performance of four current risk algorithms in predicting cardiovascular events in patients with early rheumatoid arthritis.

Authors:  E E A Arts; C Popa; A A Den Broeder; A G Semb; T Toms; G D Kitas; P L van Riel; J Fransen
Journal:  Ann Rheum Dis       Date:  2014-01-03       Impact factor: 19.103

6.  Usefulness of risk scores to estimate the risk of cardiovascular disease in patients with rheumatoid arthritis.

Authors:  Cynthia S Crowson; Eric L Matteson; Veronique L Roger; Terry M Therneau; Sherine E Gabriel
Journal:  Am J Cardiol       Date:  2012-04-20       Impact factor: 2.778

7.  Predicting cardiovascular risk in England and Wales: prospective derivation and validation of QRISK2.

Authors:  Julia Hippisley-Cox; Carol Coupland; Yana Vinogradova; John Robson; Rubin Minhas; Aziz Sheikh; Peter Brindle
Journal:  BMJ       Date:  2008-06-23

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.  Cardiovascular disease in rheumatoid arthritis: a systematic literature review in latin america.

Authors:  Juan Camilo Sarmiento-Monroy; Jenny Amaya-Amaya; Juan Sebastián Espinosa-Serna; Catalina Herrera-Díaz; Juan-Manuel Anaya; Adriana Rojas-Villarraga
Journal:  Arthritis       Date:  2012-10-31

Review 10.  Cardiovascular risk in rheumatoid arthritis: recent advances in the understanding of the pivotal role of inflammation, risk predictors and the impact of treatment.

Authors:  Ernest Choy; Kandeepan Ganeshalingam; Anne Grete Semb; Zoltán Szekanecz; Michael Nurmohamed
Journal:  Rheumatology (Oxford)       Date:  2014-06-06       Impact factor: 7.580

View more
  3 in total

1.  Cardiovascular risk factors' behavior during the early stages of the disease, in Hispanic rheumatoid arthritis patients: a cohort study.

Authors:  Irazú Contreras-Yáñez; Guillermo Guaracha-Basáñez; Virginia Pascual-Ramos
Journal:  Rheumatol Int       Date:  2019-10-12       Impact factor: 2.631

2.  The comparison of cardiovascular disease risk prediction scores and evaluation of subclinical atherosclerosis in rheumatoid arthritis: a cross-sectional study.

Authors:  Hafis Muhammed; Durga Prasanna Misra; Neeraj Jain; Sujata Ganguly; Sarit Sekhar Pattanaik; Mohit K Rai; Anamika Kumari Anuja; Namita Mohindra; Sudeep Kumar; Vikas Agarwal
Journal:  Clin Rheumatol       Date:  2022-08-25       Impact factor: 3.650

3.  The best cardiovascular risk calculator to predict carotid plaques in rheumatoid arthritis patients.

Authors:  Martin I Wah-Suarez; Dionicio A Galarza-Delgado; Jose R Azpiri-Lopez; Iris J Colunga-Pedraza; Jesus Alberto Cardenas-de la Garza; Raymundo Vera-Pineda; Rosa I Arvizu-Rivera; Adrian Martinez-Moreno; Ray E Ramos-Cazares; Elizabeth E Abundis-Marquez; Andres H Guillen-Lozoya; Jose A Davila-Jimenez; Cinthia Y Guillen-Gutierrez; Guillermo Elizondo-Riojas
Journal:  Clin Rheumatol       Date:  2018-07-02       Impact factor: 2.980

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.