Pooled yield of screening was greater in males across all age strata .
Neither the choice of screening methodology or device , the geographical region , nor the screening setting influenced the detection rate of AF .
The main limitation of this study is there are insufficient data on sociodemographic variables of the population s and possible ascertainment biases to explain the variance in the sample s. CONCLUSIONS People with screen-detected AF are at elevated calculated stroke risk : above age 65 , the majority have a Class-1 OAC recommendation for stroke prevention , and > 70 % have ≥1 additional stroke risk factor other than age/sex .
BACKGROUND The precise age distribution and calculated stroke risk of screen-detected atrial fibrillation ( AF ) is not known .
Therefore , it is not possible to determine the number needed to screen ( NNS ) to identify one treatable new AF case ( NNS-Rx ) ( i.e. , Class-1 oral anticoagulation [ OAC ] treatment recommendation ) in each age stratum .
If the NNS-Rx is known for each age stratum , precise cost-effectiveness and sensitivity simulations can be performed based on the age distribution of the population /region to be screened .
Such calculations are required by national authorities and organisations responsible for health system budgets to determine the best age cutoffs for screening programs and decide whether programs of screening should be funded .
Therefore , we aim ed to determine the exact yield and calculated stroke-risk profile of screen-detected AF and NNS-Rx in 5-year age strata .
The DanCavas Pilot Study of Multifaceted Screening for Subclinical Cardiovascular Disease in Men and Women Aged 65-74 Years.
OBJECTIVE / BACKGROUND This pilot study of a large population based r and omised screening trial investigated feasibility , acceptability , and relevance ( prevalence of clinical and sub clinical cardiovascular disease [ CVD ] and proportion receiving insufficient prevention ) of a multifaceted screening for CVD . METHODS In total , 2060 r and omly selected Danish men and women aged 65 - 74 years were offered ( i ) low dose non-contrast computed tomography to detect coronary artery calcification ( CAC ) and aortic/iliac aneurysms ; ( ii ) detection of atrial fibrillation ( AF ) ; ( iii ) brachial and ankle blood pressure measurements ; and ( iv ) blood levels of cholesterol and hemoglobin A1c . Web based self booking and data management was used to reduce the administrative burden . RESULTS Attendance rates were 64.9 % ( n = 678 ) and 63.0 % ( n = 640 ) for men and women , respectively . In total , 39.7 % received a recommendation for medical preventive actions . Prevalence of aneurysms was 12.4 % ( 95 % confidence interval [ CI ] 9.9 - 14.9 ) in men and 1.1 % ( 95 % CI 0.3 - 1.9 ) in women , respectively ( p < .001 ) . A CAC score > 400 was found in 37.8 % of men and 11.3 % of women ( p < .001 ) , along with a significant increase in median CAC score with age ( p = .03 ) . Peripheral arterial disease was more prevalent in men ( 18.8 % , 95 % CI 15.8 - 21.8 ) than in women ( 11.2 % , 95 % CI 8.7 - 13.6 ) . No significant differences between the sexes were found with regard to newly discovered AF ( men 1.3 % , women 0.5 % ) , potential hypertension ( men 9.7 % , women 11.5 % ) , hypercholesterolemia ( men 0.9 % , women 1.1 % ) or diabetes mellitus ( men 2.1 % , women 1.3 % ) . CONCLUSION Owing to the higher prevalence of severe conditions , such as aneurysms and CAC ≥ 400 , screening for CVD seemed more prudent in men than women . The attendance rates were acceptable compared with other screening programs and the logistical structure of the screening program proved successful
Pooled yield of screening was greater in males across all age strata .
Neither the choice of screening methodology or device , the geographical region , nor the screening setting influenced the detection rate of AF .
The main limitation of this study is there are insufficient data on sociodemographic variables of the population s and possible ascertainment biases to explain the variance in the sample s. CONCLUSIONS People with screen-detected AF are at elevated calculated stroke risk : above age 65 , the majority have a Class-1 OAC recommendation for stroke prevention , and > 70 % have ≥1 additional stroke risk factor other than age/sex .
BACKGROUND The precise age distribution and calculated stroke risk of screen-detected atrial fibrillation ( AF ) is not known .
Therefore , it is not possible to determine the number needed to screen ( NNS ) to identify one treatable new AF case ( NNS-Rx ) ( i.e. , Class-1 oral anticoagulation [ OAC ] treatment recommendation ) in each age stratum .
If the NNS-Rx is known for each age stratum , precise cost-effectiveness and sensitivity simulations can be performed based on the age distribution of the population /region to be screened .
Such calculations are required by national authorities and organisations responsible for health system budgets to determine the best age cutoffs for screening programs and decide whether programs of screening should be funded .
Therefore , we aim ed to determine the exact yield and calculated stroke-risk profile of screen-detected AF and NNS-Rx in 5-year age strata .