Murray B Urowitz1, Dominique Ibañez2, Jiandong Su2, Dafna D Gladman2. 1. From the University of Toronto Lupus Clinic, Centre for Prognosis Studies in the Rheumatic Diseases, Toronto Western Hospital, Toronto, Ontario, Canada.M.B. Urowitz, MD, FRCPC, University of Toronto Lupus Clinic, Centre for Prognosis Studies in the Rheumatic Diseases, Toronto Western Hospital; D. Ibañez, MSc, University of Toronto Lupus Clinic, Centre for Prognosis Studies in the Rheumatic Diseases, Toronto Western Hospital; J. Su, MB, BSc University of Toronto Lupus Clinic, Centre for Prognosis Studies in the Rheumatic Diseases, Toronto Western Hospital; D.D. Gladman, MD, FRCPC, University of Toronto Lupus Clinic, Centre for Prognosis Studies in the Rheumatic Diseases, Toronto Western Hospital. m.urowitz@utoronto.ca. 2. From the University of Toronto Lupus Clinic, Centre for Prognosis Studies in the Rheumatic Diseases, Toronto Western Hospital, Toronto, Ontario, Canada.M.B. Urowitz, MD, FRCPC, University of Toronto Lupus Clinic, Centre for Prognosis Studies in the Rheumatic Diseases, Toronto Western Hospital; D. Ibañez, MSc, University of Toronto Lupus Clinic, Centre for Prognosis Studies in the Rheumatic Diseases, Toronto Western Hospital; J. Su, MB, BSc University of Toronto Lupus Clinic, Centre for Prognosis Studies in the Rheumatic Diseases, Toronto Western Hospital; D.D. Gladman, MD, FRCPC, University of Toronto Lupus Clinic, Centre for Prognosis Studies in the Rheumatic Diseases, Toronto Western Hospital.
Abstract
OBJECTIVE: The traditional Framingham Risk Factor Score (FRS) underestimates the risk for coronary artery disease (CAD) in patients with systemic lupus erythematosus (SLE). We aimed to determine whether an adjustment to the FRS would more accurately reflect the higher prevalence of CAD among patients with SLE. METHODS: Patients with SLE without a previous history of CAD or diabetes followed regularly at the University of Toronto Lupus Clinic were included. A modified FRS (mFRS) was calculated by multiplying the items by 1.5, 2, 3, or 4. In the first part of the study, using one-third of all eligible patients, we evaluated the sensitivity and specificity of the FRS and the different multipliers for the mFRS. In the second part of the study, using the remaining 2/3 of the eligible patients, we compared the predictive ability of the FRS to the mFRS. In the third part of the study, we assessed the prediction for CAD in a time-dependent analysis of the FRS and mFRS. RESULTS: There were 905 women (89.3%) with a total of 95 CAD events included. In part 1, we determined that a multiplier of 2 provided the best combination of sensitivity and specificity. In part 2, 2.4% of the patients were classified as moderate/high risk based on the classic FRS and 17.3% using the 2FRS (the FRS with a multiplier of 2). In part 3, a time-dependent covariate analysis for the prediction of the first CAD event revealed an HR of 3.22 (p = 0.07) for the classic FRS and 4.37 (p < 0.0001) for the 2FRS. CONCLUSION: An mFRS in which each item is multiplied by 2 more accurately predicts CAD in patients with SLE.
OBJECTIVE: The traditional Framingham Risk Factor Score (FRS) underestimates the risk for coronary artery disease (CAD) in patients with systemic lupus erythematosus (SLE). We aimed to determine whether an adjustment to the FRS would more accurately reflect the higher prevalence of CAD among patients with SLE. METHODS:Patients with SLE without a previous history of CAD or diabetes followed regularly at the University of Toronto Lupus Clinic were included. A modified FRS (mFRS) was calculated by multiplying the items by 1.5, 2, 3, or 4. In the first part of the study, using one-third of all eligible patients, we evaluated the sensitivity and specificity of the FRS and the different multipliers for the mFRS. In the second part of the study, using the remaining 2/3 of the eligible patients, we compared the predictive ability of the FRS to the mFRS. In the third part of the study, we assessed the prediction for CAD in a time-dependent analysis of the FRS and mFRS. RESULTS: There were 905 women (89.3%) with a total of 95 CAD events included. In part 1, we determined that a multiplier of 2 provided the best combination of sensitivity and specificity. In part 2, 2.4% of the patients were classified as moderate/high risk based on the classic FRS and 17.3% using the 2FRS (the FRS with a multiplier of 2). In part 3, a time-dependent covariate analysis for the prediction of the first CAD event revealed an HR of 3.22 (p = 0.07) for the classic FRS and 4.37 (p < 0.0001) for the 2FRS. CONCLUSION: An mFRS in which each item is multiplied by 2 more accurately predicts CAD in patients with SLE.
Authors: Paola A Zeña-Huancas; Haydee Iparraguirre-López; Rocío V Gamboa-Cárdenas; Cristina Reátegui-Sokolova; Francisco Zevallos-Miranda; Mariela Medina-Chinchon; Victor R Pimentel-Quiroz; Claudia Elera-Fitzcarrald; Omar Sarmiento-Velasquez; Jorge M Cucho-Venegas; José L Alfaro-Lozano; Zoila J Rodríguez-Bellido; César A Pastor-Asurza; Risto A Perich-Campos; Graciela S Alarcón; Manuel F Ugarte-Gil Journal: Clin Rheumatol Date: 2018-12-12 Impact factor: 2.980
Authors: Ashley S Manchanda; Alan C Kwan; Mariko Ishimori; Louise E J Thomson; Debiao Li; Daniel S Berman; C Noel Bairey Merz; Caroline Jefferies; Janet Wei Journal: Front Cardiovasc Med Date: 2022-04-15