Marjolein de Weerd1, Jacoba P Greving2, Bo Hedblad1, Matthias W Lorenz1, Ellisiv B Mathiesen1, Daniel H O'Leary1, Maria Rosvall1, Matthias Sitzer1, Gert Jan de Borst1, Erik Buskens1, Michiel L Bots1. 1. From the Julius Center for Health Sciences and Primary Care (M.d.W., J.P.G., M.L.B.) and Department of Vascular Surgery (G.J.d.B.), University Medical Center Utrecht, Utrecht, The Netherlands; Department of Clinical Sciences, Cardiovascular Epidemiology (B.H.) and Department of Clinical Sciences, Social Epidemiology (M.R.), Lund University, Malmö University Hospital, Malmö, Sweden; Department of Neurology, Johann Wolfgang Goethe University, Frankfurt am Main, Germany (M.W.L., M.S.); Department of Clinical Medicine, University of Tromsø, Tromsø, Norway (E.B.M.); Tufts University School of Medicine, Boston, MA (D.H.O'L.); and Department of Epidemiology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands (E.B.). 2. From the Julius Center for Health Sciences and Primary Care (M.d.W., J.P.G., M.L.B.) and Department of Vascular Surgery (G.J.d.B.), University Medical Center Utrecht, Utrecht, The Netherlands; Department of Clinical Sciences, Cardiovascular Epidemiology (B.H.) and Department of Clinical Sciences, Social Epidemiology (M.R.), Lund University, Malmö University Hospital, Malmö, Sweden; Department of Neurology, Johann Wolfgang Goethe University, Frankfurt am Main, Germany (M.W.L., M.S.); Department of Clinical Medicine, University of Tromsø, Tromsø, Norway (E.B.M.); Tufts University School of Medicine, Boston, MA (D.H.O'L.); and Department of Epidemiology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands (E.B.). J.P.Greving@umcutrecht.nl.
Abstract
BACKGROUND AND PURPOSE: Because of a low prevalence of severe carotid stenosis in the general population, screening for presence of asymptomatic carotid artery stenosis (ACAS) is not warranted. Possibly, for certain subgroups, screening is worthwhile. The present study aims to develop prediction rules for the presence of ACAS (>50% and >70%). METHODS: Individual participant data from 4 population-based cohort studies (Malmö Diet and Cancer Study, Tromsø Study, Carotid Atherosclerosis Progression Study, and Cardiovascular Health Study; totaling 23 706 participants) were pooled. Multivariable logistic regression was performed to determine which variables predict presence of ACAS (>50% and >70%). Calibration and discrimination of the models were assessed, and bootstrapping was used to correct for overfitting. RESULTS: Age, sex, history of vascular disease, systolic and diastolic blood pressure, total cholesterol/high-density lipoprotein ratio, diabetes mellitus, and current smoking were predictors of stenosis (>50% and >70%). The calibration of the model was good confirmed by a nonsignificant Hosmer and Lemeshow test for moderate (P=0.59) and severe stenosis (P=0.07). The models discriminated well between participants with and without stenosis, with an area under the receiver operating characteristic curve corrected for over optimism of 0.82 (95% confidence interval, 0.80-0.84) for moderate stenosis and of 0.87 (95% confidence interval, 0.85-0.90) for severe stenosis. The regression coefficients of the predictors were converted into a score chart to facilitate practical application. CONCLUSIONS: A clinical prediction rule was developed that allows identification of subgroups with high prevalence of moderate (>50%) and severe (>70%) ACAS. When confirmed in comparable cohorts, application of the prediction rule may lead to a reduction in the number needed to screen for ACAS.
BACKGROUND AND PURPOSE: Because of a low prevalence of severe carotid stenosis in the general population, screening for presence of asymptomatic carotid artery stenosis (ACAS) is not warranted. Possibly, for certain subgroups, screening is worthwhile. The present study aims to develop prediction rules for the presence of ACAS (>50% and >70%). METHODS: Individual participant data from 4 population-based cohort studies (Malmö Diet and Cancer Study, Tromsø Study, Carotid Atherosclerosis Progression Study, and Cardiovascular Health Study; totaling 23 706 participants) were pooled. Multivariable logistic regression was performed to determine which variables predict presence of ACAS (>50% and >70%). Calibration and discrimination of the models were assessed, and bootstrapping was used to correct for overfitting. RESULTS: Age, sex, history of vascular disease, systolic and diastolic blood pressure, total cholesterol/high-density lipoprotein ratio, diabetes mellitus, and current smoking were predictors of stenosis (>50% and >70%). The calibration of the model was good confirmed by a nonsignificant Hosmer and Lemeshow test for moderate (P=0.59) and severe stenosis (P=0.07). The models discriminated well between participants with and without stenosis, with an area under the receiver operating characteristic curve corrected for over optimism of 0.82 (95% confidence interval, 0.80-0.84) for moderate stenosis and of 0.87 (95% confidence interval, 0.85-0.90) for severe stenosis. The regression coefficients of the predictors were converted into a score chart to facilitate practical application. CONCLUSIONS: A clinical prediction rule was developed that allows identification of subgroups with high prevalence of moderate (>50%) and severe (>70%) ACAS. When confirmed in comparable cohorts, application of the prediction rule may lead to a reduction in the number needed to screen for ACAS.
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