BACKGROUND: Cardiovascular disease (CVD) is partially attributed to traditional cardiovascular risk factors, which can be identified and managed based on risk stratification algorithms (Framingham Risk Score, National Cholesterol Education Program, Systematic Cardiovascular Risk Evaluation and Reynolds Risk Score). We aimed to (a) identify the proportion of at risk patients with rheumatoid arthritis (RA) requiring statin therapy identified by conventional risk calculators, and (b) assess whether patients at risk were receiving statins. METHODS: Patients at high CVD risk (excluding patients with established CVD or diabetes) were identified from a cohort of 400 well characterised patients with RA, by applying risk calculators with or without a x1.5 multiplier in specific patient subgroups. Actual statin use versus numbers eligible for statins was also calculated. RESULTS: The percentage of patients identified as being at risk ranged significantly depending on the method, from 1.6% (for 20% threshold global CVD risk) to 15.5% (for CVD and cerebrovascular morbidity and mortality) to 21.8% (for 10% global CVD risk) and 25.9% (for 5% CVD mortality), with the majority of them (58.1% to 94.8%) not receiving statins. The application of a 1.5 multiplier identified 17% to 78% more at risk patients. CONCLUSIONS: Depending on the risk stratification method, 2% to 26% of patients with RA without CVD have sufficiently high risk to require statin therapy, yet most of them remain untreated. To address this issue, we would recommend annual systematic screening using the nationally applicable risk calculator, combined with regular audit of whether treatment targets have been achieved.
BACKGROUND:Cardiovascular disease (CVD) is partially attributed to traditional cardiovascular risk factors, which can be identified and managed based on risk stratification algorithms (Framingham Risk Score, National Cholesterol Education Program, Systematic Cardiovascular Risk Evaluation and Reynolds Risk Score). We aimed to (a) identify the proportion of at risk patients with rheumatoid arthritis (RA) requiring statin therapy identified by conventional risk calculators, and (b) assess whether patients at risk were receiving statins. METHODS:Patients at high CVD risk (excluding patients with established CVD or diabetes) were identified from a cohort of 400 well characterised patients with RA, by applying risk calculators with or without a x1.5 multiplier in specific patient subgroups. Actual statin use versus numbers eligible for statins was also calculated. RESULTS: The percentage of patients identified as being at risk ranged significantly depending on the method, from 1.6% (for 20% threshold global CVD risk) to 15.5% (for CVD and cerebrovascular morbidity and mortality) to 21.8% (for 10% global CVD risk) and 25.9% (for 5% CVD mortality), with the majority of them (58.1% to 94.8%) not receiving statins. The application of a 1.5 multiplier identified 17% to 78% more at risk patients. CONCLUSIONS: Depending on the risk stratification method, 2% to 26% of patients with RA without CVD have sufficiently high risk to require statin therapy, yet most of them remain untreated. To address this issue, we would recommend annual systematic screening using the nationally applicable risk calculator, combined with regular audit of whether treatment targets have been achieved.
Authors: Christie M Bartels; Tonya J Roberts; Karen E Hansen; Elizabeth A Jacobs; Andrea Gilmore; Courtney Maxcy; Barbara J Bowers Journal: Arthritis Care Res (Hoboken) Date: 2016-04 Impact factor: 4.794
Authors: Claire E H Barber; Deborah A Marshall; Nanette Alvarez; G B John Mancini; Diane Lacaille; Stephanie Keeling; J Antonio Aviña-Zubieta; Dmitry Khodyakov; Cheryl Barnabe; Peter Faris; Alexa Smith; Raheem Noormohamed; Glen Hazlewood; Liam O Martin; John M Esdaile Journal: J Rheumatol Date: 2015-07-15 Impact factor: 4.666
Authors: Carmen Gómez-Vaquero; Montserrat Robustillo; Javier Narváez; Jesús Rodríguez-Moreno; Carlos González-Juanatey; Javier Llorca; Joan Miquel Nolla; Miguel Angel González-Gay Journal: Clin Rheumatol Date: 2011-05-13 Impact factor: 2.980
Authors: Chun Li; X R Wang; H J Ji; X Y Zhang; X F Li; L Z Wang; C H Wang; Y F Wang; Rong Yang; G C Wang; Xin Lu; Ping Zhu; L N Chen; H T Jin; J T Liu; X Y Liu; Lin Sun; H Y Chen; Ping Wei; J X Wang; L F Cui; Rong Shu; B L Liu; Z L Zhang; G T Li; Z B Li; Jing Yang; J F Li; Bin Jia; F X Zhang; J M Tao; S L Han; J Y Lin; M Q Wei; X M Liu; Dan Ke; S X Hu; Cong Ye; X Y Yang; Hao Li; C B Huang; Ming Gao; Bei Lai; X F Li; L J Song; Yi Wang; X Y Wang; Y D Tang; Yin Su; Rong Mu; Z G Li Journal: Clin Rheumatol Date: 2017-03-24 Impact factor: 2.980