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 .
Screening versus routine practice in detection of atrial fibrillation in patients aged 65 or over: cluster randomised controlled trial
Objectives To assess whether screening improves the detection of atrial fibrillation  ( cluster r and omisation ) and to compare systematic and opportunistic screening . Design Multicentred cluster r and omised controlled trial , with subsidiary trial embedded within the intervention arm . Setting 50 primary care centres in Engl and , with further individual r and omisation of patients in the intervention practice s. Participants 14 802 patients aged 65 or over in 25 intervention and 25 control practice s. Interventions Patients in intervention practice s were r and omly allocated to systematic screening ( invitation for electrocardiography ) or opportunistic screening ( pulse taking and invitation for electrocardiography if the pulse was irregular ) . Screening took place over 12 months in each practice from October 2001 to February 2003 . No active screening took place in control practice s. Main outcome measure Newly identified atrial fibrillation . Results The detection rate of new cases of atrial fibrillation was 1.63 % a year in the intervention practice s and 1.04 % in control practice s ( difference 0.59 % , 95 % confidence interval 0.20 % to 0.98 % ) . Systematic and opportunistic screening detected similar numbers of new cases ( 1.62 % v 1.64 % , difference 0.02 % , −0.5 % to 0.5 % ) . Conclusion Active screening for atrial fibrillation detects additional cases over current practice . The preferred method of screening in patients aged 65 or over in primary care is opportunistic pulse taking with follow-up electrocardiography . Trial registration Current Controlled Trials IS RCT N19633732
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 .