0000000000199156

AUTHOR

Ben Freedman

0000-0002-3809-2911

showing 2 related works from this author

Refined atrial fibrillation screening and cost-effectiveness in the German population

2021

ObjectiveLittle is known on optimal screening population for detecting new atrial fibrillation (AF) in the community. We describe characteristics and estimate cost-effectiveness for a single timepoint electrocardiographic screening.MethodsWe performed a 12-lead ECG in the German population-based Gutenberg Health Study between 2007 and 2012 (n=15 010), mean age 55±11 years, 51% men and collected more than 120 clinical and biomarker variables, including N-terminal pro B-type natriuretic peptide (Nt-proBNP), risk factors, disease symptoms and echocardiographic variables.ResultsOf 15 010 individuals, 466 (3.1%) had AF. New AF was found in 32 individuals, 0.2% of the total sample, 0.5% of indivi…

AdultMalemedicine.medical_specialtyCost effectivenessCost-Benefit AnalysisPopulation030204 cardiovascular system & hematology03 medical and health sciences0302 clinical medicineInternal medicineAtrial FibrillationNatriuretic Peptide BrainEpidemiologyHumansMedicine030212 general & internal medicineRisk factoreducationStrokeAgedHeart Failureeducation.field_of_studybusiness.industryAtrial fibrillationMiddle Agedmedicine.diseasePeptide Fragments3. Good healthStrokeHeart failureBiomarker (medicine)FemaleCardiology and Cardiovascular MedicinebusinessBiomarkersHeart
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Estimated stroke risk, yield, and number needed to screen for atrial fibrillation detected through single time screening: a multicountry patient-leve…

2019

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 d…

MaleHealth ScreeningEconomicsSocial Sciences030204 cardiovascular system & hematologyVascular MedicineScreening programmeElectrocardiography0302 clinical medicineRisk FactorsHealth careAtrial FibrillationMedicine and Health SciencesMass ScreeningPublic and Occupational Health030212 general & internal medicinemedia_commonAged 80 and overRAge FactorsGeneral MedicineMiddle AgedUniversity hospitalPrognosis3. Good healthStrokeBioassays and Physiological AnalysisNeurologyHealthMedicineFemaleTraining programArrhythmiaResearch ArticleAdultCerebrovascular DiseasesCost-Effectiveness AnalysisCardiologyLibrary scienceResearch and Analysis MethodsRisk AssessmentStroke risk03 medical and health sciencesYoung AdultAge DistributionSex FactorsPopulation MetricsPredictive Value of TestsPolitical sciencemedia_common.cataloged_instanceHumansEarly careerEuropean unionIschemic StrokeAgedHealth Care PolicyPopulation Biologybusiness.industryElectrophysiological TechniquesBiology and Life SciencesNumber needed to screenEconomic AnalysisHealth CareAge GroupsPeople and PlaceseHealthPopulation GroupingsCardiac ElectrophysiologybusinessScreening Guidelines
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