Literature DB >> 29345540

Cost-effectiveness analysis of asymptomatic peripheral artery disease screening with the ABI test.

Nathan K Itoga1, Hataka R Minami2, Meenadachi Chelvakumar3,4, Keon Pearson1, Matthew M Mell1, Eran Bendavid3, Douglas K Owens3,5.   

Abstract

Screening for asymptomatic peripheral artery disease (aPAD) with the ankle-brachial index (ABI) test is hypothesized to reduce disease progression and cardiovascular (CV) events by identifying individuals who may benefit from early initiation of medical therapy. Using a Markov model, we evaluated the cost effectiveness of initiating medical therapy (e.g. statin and ACE-inhibitor) after a positive ankle-brachial index (ABI) screen in 65-year-old patients. We modeled progression to symptomatic PAD (sPAD) and CV events with and without ABI screening, evaluating differences in costs and quality-adjusted life years (QALYs). The cost of the ABI test, physician visit, new medication, CV events, and interventions for sPAD were incorporated in the model. We performed sensitivity analysis on model variables with uncertainty. Our model found an incremental cost of US $338 and an incremental QALY of 0.00380 with one-time ABI screening, resulting in an incremental cost-effectiveness ratio (ICER) of $88,758/QALY over a 35-year period. The variables with the largest effects in the ICER were aPAD disease prevalence, cost of monthly medication after a positive screen and 2-year medication adherence rates. Screening high-risk populations, such as tobacco users, where the prevalence of PAD may be 2.5 times higher, decreases the ICER to $24,092/QALY. Our analysis indicates the cost effectiveness of one-time screening for aPAD depends on prevalence, medication costs, and adherence to therapies for CV disease risk reduction. Screening in higher-risk populations under favorable assumptions about medication adherence results in the most favorable cost effectiveness, but limitations in the primary data preclude definitive assessment of cost effectiveness.

Entities:  

Keywords:  ankle–brachial index (ABI); cardiovascular disease; peripheral artery disease (PAD); screening

Mesh:

Substances:

Year:  2018        PMID: 29345540      PMCID: PMC5893367          DOI: 10.1177/1358863X17745371

Source DB:  PubMed          Journal:  Vasc Med        ISSN: 1358-863X            Impact factor:   3.239


  62 in total

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Journal:  Eur Heart J       Date:  2011-08-26       Impact factor: 29.983

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6.  Vascular hospitalization rates and costs in patients with peripheral artery disease in the United States.

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7.  Prevalence of and risk factors for peripheral arterial disease in the United States: results from the National Health and Nutrition Examination Survey, 1999-2000.

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8.  Effect of Financial Incentives to Physicians, Patients, or Both on Lipid Levels: A Randomized Clinical Trial.

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9.  Regional and practice variation in adherence to guideline recommendations for secondary and primary prevention among outpatients with atherothrombosis or risk factors in the United States: a report from the REACH Registry.

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Journal:  Crit Pathw Cardiol       Date:  2009-09

10.  Randomized trial of the effects of cholesterol-lowering with simvastatin on peripheral vascular and other major vascular outcomes in 20,536 people with peripheral arterial disease and other high-risk conditions.

Authors: 
Journal:  J Vasc Surg       Date:  2007-04       Impact factor: 4.268

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Journal:  Atherosclerosis       Date:  2020-01-19       Impact factor: 5.162

Review 2.  How To Assess a Claudication and When To Intervene.

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4.  Presence of asymptomatic Peripheral Arterial Disease in combination with common risk factors elevates the cardiovascular risk Substantially.

Authors:  Fredrik Sartipy; Antonio José Garcia Pereira Filho; Fredrik Lundin; Eric Wahlberg; Birgitta Sigvant
Journal:  Int J Cardiol Cardiovasc Risk Prev       Date:  2022-04-18

5.  Discrete Event Simulation Model for Cost-Effectiveness Evaluation of Screening for Asymptomatic Patients with Lower Extremity Arterial Disease.

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  5 in total

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