Ausaf Mohammad1, Derek Lohan2, Diane Bergin2, Sarah Mooney2, John Newell3, Martin O' Donnell4, Shreyasee Amin5, Robert J Coughlan6, John J Carey6. 1. Department of Rheumatology, Galway University Hospitals, Galway, Ireland. Electronic address: ausafmohammad@gmail.com. 2. Department of Radiology, Galway University Hospitals, Galway, Ireland. 3. Department of Mathematics, NUI, Galway, Ireland. 4. Clinical Research Facility, NUI, Galway, Ireland. 5. Department of Internal Medicine, Mayo Clinic, Rochester, MN 55905. 6. Department of Rheumatology, Galway University Hospitals, Galway, Ireland.
Abstract
OBJECTIVE: Individuals with rheumatoid arthritis (RA) are at increased risk for cardiovascular disease (CVD). Traditional prediction tools underestimate this risk. Vertebral fracture assessment (VFA)-detected aortic calcification enhances CVD risk stratification in the general population but its relationship in RA is unclear. We assessed the presence of abdominal aortic calcification (AAC) on VFA images, and its association with CVD in RA patients. METHODS: We determined the prevalence of cardiovascular events in a cohort of RA patients aged 40 years and older fulfilling the 1987 American College of Rheumatology classification criteria. Two blinded radiologists independently reviewed all VFA scans to determine the presence/severity of AAC using an established 24-point scale. Logistic regression analyses were performed to determine whether AAC could discriminate between RA patients with and without CVD, and to compare the ability of VFA-detected AAC to predict CVD to conventional CVD risk factors and the Framingham Risk Score. RESULTS: 603 subjects fulfilled study inclusion criteria. 230 (38%) subjects had 1 or more documented CVD event and 211 (35%) had AAC detected on VFA scans. Significantly more subjects with cardiovascular events had AAC on their VFA scans than controls (76% versus 10%; P < 0.05). VFA-detected AAC was a better predictor of CVD than traditional risk factors, and significantly out-performed the Framingham Risk Score for discriminating between the presence and absence of CVD (AUC 0.85 versus 0.58; P < 0.001). CONCLUSION: There was a significant association between VFA-detected AAC and CVD in our study population. This finding may enhance cardiovascular disease risk prediction in RA patients.
OBJECTIVE: Individuals with rheumatoid arthritis (RA) are at increased risk for cardiovascular disease (CVD). Traditional prediction tools underestimate this risk. Vertebral fracture assessment (VFA)-detected aortic calcification enhances CVD risk stratification in the general population but its relationship in RA is unclear. We assessed the presence of abdominal aortic calcification (AAC) on VFA images, and its association with CVD in RApatients. METHODS: We determined the prevalence of cardiovascular events in a cohort of RApatients aged 40 years and older fulfilling the 1987 American College of Rheumatology classification criteria. Two blinded radiologists independently reviewed all VFA scans to determine the presence/severity of AAC using an established 24-point scale. Logistic regression analyses were performed to determine whether AAC could discriminate between RApatients with and without CVD, and to compare the ability of VFA-detected AAC to predict CVD to conventional CVD risk factors and the Framingham Risk Score. RESULTS: 603 subjects fulfilled study inclusion criteria. 230 (38%) subjects had 1 or more documented CVD event and 211 (35%) had AAC detected on VFA scans. Significantly more subjects with cardiovascular events had AAC on their VFA scans than controls (76% versus 10%; P < 0.05). VFA-detected AAC was a better predictor of CVD than traditional risk factors, and significantly out-performed the Framingham Risk Score for discriminating between the presence and absence of CVD (AUC 0.85 versus 0.58; P < 0.001). CONCLUSION: There was a significant association between VFA-detected AAC and CVD in our study population. This finding may enhance cardiovascular disease risk prediction in RApatients.
Authors: E Blair Solow; Fang Yu; Geoffrey M Thiele; Jeremy Sokolove; William H Robinson; Zachary M Pruhs; Kaleb D Michaud; Alan R Erickson; Harlan Sayles; Gail S Kerr; Angelo L Gaffo; Liron Caplan; Lisa A Davis; Grant W Cannon; Andreas M Reimold; Joshua Baker; Pascale Schwab; Daniel R Anderson; Ted R Mikuls Journal: Rheumatology (Oxford) Date: 2015-04-07 Impact factor: 7.580
Authors: Joshua R Lewis; John T Schousboe; Wai H Lim; Germaine Wong; Kun Zhu; Ee M Lim; Kevin E Wilson; Peter L Thompson; Douglas P Kiel; Richard L Prince Journal: Arterioscler Thromb Vasc Biol Date: 2015-11-24 Impact factor: 8.311