Literature DB >> 28629510

Screening strategies for atrial fibrillation: a systematic review and cost-effectiveness analysis.

Nicky J Welton1, Alexandra McAleenan1, Howard Hz Thom1, Philippa Davies1, Will Hollingworth1, Julian Pt Higgins1, George Okoli1, Jonathan Ac Sterne1, Gene Feder1, Diane Eaton2, Aroon Hingorani3, Christopher Fawsitt1, Trudie Lobban4,5, Peter Bryden1, Alison Richards1, Reecha Sofat6.   

Abstract

BACKGROUND: Atrial fibrillation (AF) is a common cardiac arrhythmia that increases the risk of thromboembolic events. Anticoagulation therapy to prevent AF-related stroke has been shown to be cost-effective. A national screening programme for AF may prevent AF-related events, but would involve a substantial investment of NHS resources.
OBJECTIVES: To conduct a systematic review of the diagnostic test accuracy (DTA) of screening tests for AF, update a systematic review of comparative studies evaluating screening strategies for AF, develop an economic model to compare the cost-effectiveness of different screening strategies and review observational studies of AF screening to provide inputs to the model.
DESIGN: Systematic review, meta-analysis and cost-effectiveness analysis.
SETTING: Primary care. PARTICIPANTS: Adults. INTERVENTION: Screening strategies, defined by screening test, age at initial and final screens, screening interval and format of screening {systematic opportunistic screening [individuals offered screening if they consult with their general practitioner (GP)] or systematic population screening (when all eligible individuals are invited to screening)}. MAIN OUTCOME MEASURES: Sensitivity, specificity and diagnostic odds ratios; the odds ratio of detecting new AF cases compared with no screening; and the mean incremental net benefit compared with no screening. REVIEW
METHODS: Two reviewers screened the search results, extracted data and assessed the risk of bias. A DTA meta-analysis was perfomed, and a decision tree and Markov model was used to evaluate the cost-effectiveness of the screening strategies.
RESULTS: Diagnostic test accuracy depended on the screening test and how it was interpreted. In general, the screening tests identified in our review had high sensitivity (> 0.9). Systematic population and systematic opportunistic screening strategies were found to be similarly effective, with an estimated 170 individuals needed to be screened to detect one additional AF case compared with no screening. Systematic opportunistic screening was more likely to be cost-effective than systematic population screening, as long as the uptake of opportunistic screening observed in randomised controlled trials translates to practice. Modified blood pressure monitors, photoplethysmography or nurse pulse palpation were more likely to be cost-effective than other screening tests. A screening strategy with an initial screening age of 65 years and repeated screens every 5 years until age 80 years was likely to be cost-effective, provided that compliance with treatment does not decline with increasing age.
CONCLUSIONS: A national screening programme for AF is likely to represent a cost-effective use of resources. Systematic opportunistic screening is more likely to be cost-effective than systematic population screening. Nurse pulse palpation or modified blood pressure monitors would be appropriate screening tests, with confirmation by diagnostic 12-lead electrocardiography interpreted by a trained GP, with referral to a specialist in the case of an unclear diagnosis. Implementation strategies to operationalise uptake of systematic opportunistic screening in primary care should accompany any screening recommendations. LIMITATIONS: Many inputs for the economic model relied on a single trial [the Screening for Atrial Fibrillation in the Elderly (SAFE) study] and DTA results were based on a few studies at high risk of bias/of low applicability. FUTURE WORK: Comparative studies measuring long-term outcomes of screening strategies and DTA studies for new, emerging technologies and to replicate the results for photoplethysmography and GP interpretation of 12-lead electrocardiography in a screening population. STUDY REGISTRATION: This study is registered as PROSPERO CRD42014013739. FUNDING: The National Institute for Health Research Health Technology Assessment programme.

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Year:  2017        PMID: 28629510     DOI: 10.3310/hta21290

Source DB:  PubMed          Journal:  Health Technol Assess        ISSN: 1366-5278            Impact factor:   4.014


  33 in total

Review 1.  Wearing Your Heart on Your Sleeve: the Future of Cardiac Rhythm Monitoring.

Authors:  Mostafa A Al-Alusi; Eric Ding; David D McManus; Steven A Lubitz
Journal:  Curr Cardiol Rep       Date:  2019-11-25       Impact factor: 2.931

Review 2.  Population-Based Screening for Atrial Fibrillation.

Authors:  Shaan Khurshid; Jeffrey S Healey; William F McIntyre; Steven A Lubitz
Journal:  Circ Res       Date:  2020-06-18       Impact factor: 17.367

3.  Atrial fibrillation: time for active case finding.

Authors:  John Robson; Richard Schilling
Journal:  Br J Gen Pract       Date:  2019-02       Impact factor: 5.386

4.  Lead-I ECG for detecting atrial fibrillation in patients with an irregular pulse using single time point testing: a systematic review and economic evaluation.

Authors:  Rui Duarte; Angela Stainthorpe; Janette Greenhalgh; Marty Richardson; Sarah Nevitt; James Mahon; Eleanor Kotas; Angela Boland; Howard Thom; Tom Marshall; Mark Hall; Yemisi Takwoingi
Journal:  Health Technol Assess       Date:  2020-01       Impact factor: 4.014

5.  Design and rationale of a pragmatic trial integrating routine screening for atrial fibrillation at primary care visits: The VITAL-AF trial.

Authors:  Jeffrey M Ashburner; Steven J Atlas; David D McManus; Yuchiao Chang; Ana T Trisini Lipsanopoulos; Leila H Borowsky; Wyliena Guan; Wei He; Patrick T Ellinor; Daniel E Singer; Steven A Lubitz
Journal:  Am Heart J       Date:  2019-06-22       Impact factor: 4.749

6.  Opportunistic pulse checks in primary care to improve recognition of atrial fibrillation: a retrospective analysis of electronic patient records.

Authors:  James Cole; Payam Torabi; Isabel Dostal; Kate Homer; John Robson
Journal:  Br J Gen Pract       Date:  2018-06       Impact factor: 5.386

7.  Predictive Accuracy of a Clinical and Genetic Risk Model for Atrial Fibrillation.

Authors:  Shaan Khurshid; Nina Mars; Christopher M Haggerty; Qiuxi Huang; Lu-Chen Weng; Dustin N Hartzel; Kathryn L Lunetta; Jeffrey M Ashburner; Christopher D Anderson; Emelia J Benjamin; Veikko Salomaa; Patrick T Ellinor; Brandon K Fornwalt; Samuli Ripatti; Ludovic Trinquart; Steven A Lubitz
Journal:  Circ Genom Precis Med       Date:  2021-08-31

8.  Diagnostic accuracy and yield of screening tests for atrial fibrillation in the family practice setting: a multicentre cohort study.

Authors:  F Russell Quinn; David J Gladstone; Noah M Ivers; Roopinder K Sandhu; Lisa Dolovich; Andrea Ling; Juliet Nakamya; Chinthanie Ramasundarahettige; Paul A Frydrych; Sam Henein; Ken Ng; Valerie Congdon; Richard V Birtwhistle; Richard Ward; Jeffrey S Healey
Journal:  CMAJ Open       Date:  2018-08-02

9.  Implantable cardiac monitors to detect atrial fibrillation after cryptogenic stroke: a systematic review and economic evaluation.

Authors:  Steven J Edwards; Victoria Wakefield; Tracey Jhita; Kayleigh Kew; Peter Cain; Gemma Marceniuk
Journal:  Health Technol Assess       Date:  2020-01       Impact factor: 4.014

Review 10.  Impact of Mobile Health Devices for the Detection of Atrial Fibrillation: Systematic Review.

Authors:  Tom E Biersteker; Martin J Schalij; Roderick W Treskes
Journal:  JMIR Mhealth Uhealth       Date:  2021-04-28       Impact factor: 4.773

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