Publication: Estimated stroke risk, yield, and number needed to screen for atrial fibrillation detected through single time screening: a multicountry patient-level meta-analysis of 141,220 screened individuals.
Loading...
Identifiers
Date
2019-08-21
Authors
Lowres, Nicole
Olivier, Jake
Chao, Tze-Fan
Chen, Shih-Ann
Chen, Yi
Diederichsen, Axel
Fitzmaurice, David A
Gomez-Doblas, Juan Jose
Harbison, Joseph
Healey, Jeff S
Advisors
Journal Title
Journal ISSN
Volume Title
Publisher
Public Library of Science
Abstract
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 aimed to determine the exact yield and calculated stroke-risk profile of screen-detected AF and NNS-Rx in 5-year age strata. A systematic review of Medline, Pubmed, and Embase was performed (January 2007 to February 2018), and AF-SCREEN international collaboration members were contacted to identify additional studies. Twenty-four eligible studies were identified that performed a single time point screen for AF in a general ambulant population, including people ≥65 years. Authors from eligible studies were invited to collaborate and share patient-level data. Statistical analysis was performed using random effects logistic regression for AF detection rate, and Poisson regression modelling for CHA2DS2-VASc scores. Nineteen studies (14 countries from a mix of low- to middle- and high-income countries) collaborated, with 141,220 participants screened and 1,539 new AF cases. Pooled yield of screening was greater in males across all age strata. The age/sex-adjusted detection rate for screen-detected AF in ≥65-year-olds was 1.44% (95% CI, 1.13%-1.82%) and 0.41% (95% CI, 0.31%-0.53%) for 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. Our data, based on the largest number of screen-detected AF collected to date, show the precise relationship between yield and estimated stroke risk profile with age, and strong dependence for NNS-RX on the age distribution of the population to be screened: essential information for precise cost-effectiveness calculations.
Description
MeSH Terms
Age Factors
Aged
Atrial Fibrillation
Electrocardiography
Humans
Male
Middle Aged
Predictive Value of Tests
Risk Assessment
Risk Factors
Stroke
Young Adult
Aged
Atrial Fibrillation
Electrocardiography
Humans
Male
Middle Aged
Predictive Value of Tests
Risk Assessment
Risk Factors
Stroke
Young Adult
DeCS Terms
Accidente cerebrovascular
Adulto Joven
Anciano
Electrocardiografía
Factores de edad
Factores de riesgo
Fibrilación atrial
Humanos
Masculino
Medición de riesgo
Persona de mediana edad
Valor predictivo de las pruebas
Adulto Joven
Anciano
Electrocardiografía
Factores de edad
Factores de riesgo
Fibrilación atrial
Humanos
Masculino
Medición de riesgo
Persona de mediana edad
Valor predictivo de las pruebas
CIE Terms
Keywords
Adult, Aged, 80 and over, Female, Mass Screening, Prognosis, Sex Factors
Citation
Lowres N, Olivier J, Chao TF, Chen SA, Chen Y, Diederichsen A, et al. Estimated stroke risk, yield, and number needed to screen for atrial fibrillation detected through single time screening: a multicountry patient-level meta-analysis of 141,220 screened individuals. PLoS Med. 2019 Sep 25;16(9):e1002903.