Literature DB >> 33714278

Cost-effectiveness of screening of coronary artery disease in patients with type 2 DIABetes at a very high cardiovascular risk (SCADIAB study) rational and design.

Kamel Mohammedi1,2,3, Nathalie Préaubert4, Tanguy Cariou5, Vincent Rigalleau6,7, Ninon Foussard6, Laurent Piazza4, Céline Bairras-Martin8, Thierry Couffinhal7,9,10, Julien Bezin7,11,12, Antoine Benard5,13.   

Abstract

BACKGROUND: Screening for coronary artery disease (CAD) remains broadly performed in patients with type 2 diabetes (T2DM), although the lack of evidence. We conduct a real-world evidence (RWE) study to assess the risk of major clinical outcomes and economic impact of routine CAD screening in T2DM individuals at a very high cardiovascular risk.
METHODS: SCADIAB is a comparative nationwide cohort study using data from the French National Health Data System. The main inclusion criteria are: age ≥ 40 years, DT2 diagnosed for ≥ 7 years, with ≥ 2 additional cardiovascular risk factors plus a history of microvascular or macrovascular disease, except CAD. We estimated ≥ 90,000 eligible participants for our study. Data will be extracted from 01/01/2008 to 31/12/2019. Eligible participants will be identified during a first 7-year selection period (2008-2015). Each participant will be assigned either in experimental (CAD screening procedure during the selection period) or control group (no CAD screening) on 01/01/2015, and followed for 5 years. The primary endpoint is the incremental cost per life year saved over 5 years in CAD screening group versus no CAD screening. The main secondary endpoints are: total 5-year direct costs of each strategy; incidence of major cardiovascular (acute coronary syndrome, hospitalization for heart failure, coronary revascularization or all-cause death), cerebrovascular (hospitalization for transient ischemic attack, stroke, or carotid revascularization) and lower-limb events (peripheral artery disease, ischemic diabetic foot, lower-limb revascularization or amputation); and the budget impact for the French Insurance system to promote the cost-effective strategy. Analyses will be adjusted for a high-dimension propensity score taking into account known and unknown confounders. SCADIAB has been funded by the French Ministry of Health and the protocol has been approved by the French ethic authorities. Data management and analyses will start in the second half of 2021. DISCUSSION: SCADIAB is a large and contemporary RWE study that will assess the economic and clinical impacts of routine CAD screening in T2DM people at a very high cardiovascular risk. It will also evaluate the clinical practice regarding CAD screening and help to make future recommendations and optimize the use of health care resources. Trial registration ClinicalTrials.gov Identifier: NCT04534530 ( https://clinicaltrials.gov/ct2/show/NCT04534530 ).

Entities:  

Keywords:  Cardiovascular risk; Coronary artery disease; Cost-effectiveness; Economic impact; Major adverse cardiac events; Real-world evidence study; Screening; Type 2 diabetes

Year:  2021        PMID: 33714278      PMCID: PMC7955624          DOI: 10.1186/s12933-021-01253-2

Source DB:  PubMed          Journal:  Cardiovasc Diabetol        ISSN: 1475-2840            Impact factor:   9.951


  31 in total

1.  2010 ACCF/AHA guideline for assessment of cardiovascular risk in asymptomatic adults: a report of the American College of Cardiology Foundation/American Heart Association Task Force on Practice Guidelines.

Authors:  Philip Greenland; Joseph S Alpert; George A Beller; Emelia J Benjamin; Matthew J Budoff; Zahi A Fayad; Elyse Foster; Mark A Hlatky; John McB Hodgson; Frederick G Kushner; Michael S Lauer; Leslee J Shaw; Sidney C Smith; Allen J Taylor; William S Weintraub; Nanette K Wenger; Alice K Jacobs; Sidney C Smith; Jeffrey L Anderson; Nancy Albert; Christopher E Buller; Mark A Creager; Steven M Ettinger; Robert A Guyton; Jonathan L Halperin; Judith S Hochman; Frederick G Kushner; Rick Nishimura; E Magnus Ohman; Richard L Page; William G Stevenson; Lynn G Tarkington; Clyde W Yancy
Journal:  J Am Coll Cardiol       Date:  2010-12-14       Impact factor: 24.094

2.  Risk reduction of cardiac events by screening of unknown asymptomatic coronary artery disease in subjects with type 2 diabetes mellitus at high cardiovascular risk: an open-label randomized pilot study.

Authors:  Ezio Faglia; Mantero Manuela; Quarantiello Antonella; Gino Michela; Curci Vincenzo; Caminiti Maurizio; Mattioli Roberto; Morabito Alberto
Journal:  Am Heart J       Date:  2005-02       Impact factor: 4.749

3.  Cost-effectiveness of screening for coronary artery disease in asymptomatic patients with Type 2 diabetes and additional atherogenic risk factors.

Authors:  Yasuaki Hayashino; Sizuko Nagata-Kobayashi; Takeshi Morimoto; Kenji Maeda; Takuro Shimbo; Tsuguya Fukui
Journal:  J Gen Intern Med       Date:  2004-12       Impact factor: 5.128

4.  Confounding adjustment via a semi-automated high-dimensional propensity score algorithm: an application to electronic medical records.

Authors:  Sengwee Toh; Luis A García Rodríguez; Miguel A Hernán
Journal:  Pharmacoepidemiol Drug Saf       Date:  2011-06-30       Impact factor: 2.890

5.  Does coronary Atherosclerosis Deserve to be Diagnosed earlY in Diabetic patients? The DADDY-D trial. Screening diabetic patients for unknown coronary disease.

Authors:  Fabrizio Turrini; Stefania Scarlini; Caterina Mannucci; Roberto Messora; Paolo Giovanardi; Paolo Magnavacchi; Carlo Cappelli; Valeria Evandri; Andrea Zanasi; Stefania Romano; Rita Cavani; Italo Ghidoni; Stefano Tondi; Marco Bondi
Journal:  Eur J Intern Med       Date:  2015-06-06       Impact factor: 4.487

6.  Detection of silent myocardial ischemia in asymptomatic patients with diabetes: results of a randomized trial and meta-analysis assessing the effectiveness of systematic screening.

Authors:  Michel M Lièvre; Philippe Moulin; Charles Thivolet; Michel Rodier; Vincent Rigalleau; Alfred Penfornis; Alain Pradignac; Michel Ovize
Journal:  Trials       Date:  2011-01-26       Impact factor: 2.279

Review 7.  Screening for coronary artery disease in patients with type 2 diabetes: a meta-analysis and trial sequential analysis.

Authors:  Dimitris V Rados; Lana C Pinto; Cristiane B Leitão; Jorge L Gross
Journal:  BMJ Open       Date:  2017-05-09       Impact factor: 2.692

8.  Balance diagnostics for comparing the distribution of baseline covariates between treatment groups in propensity-score matched samples.

Authors:  Peter C Austin
Journal:  Stat Med       Date:  2009-11-10       Impact factor: 2.373

9.  How accurate is the reporting of stroke in hospital discharge data? A pilot validation study using a population-based stroke registry as control.

Authors:  Corine Aboa-Eboulé; Dominique Mengue; Eric Benzenine; Marc Hommel; Maurice Giroud; Yannick Béjot; Catherine Quantin
Journal:  J Neurol       Date:  2012-10-18       Impact factor: 4.849

10.  Clinical outcomes after cardiac rehabilitation in elderly patients with and without diabetes mellitus: The EU-CaRE multicenter cohort study.

Authors:  Prisca Eser; Thimo Marcin; Eva Prescott; Leonie F Prins; Evelien Kolkman; Wendy Bruins; Astrid E van der Velde; Carlos Peña-Gil; Marie-Christine Iliou; Diego Ardissino; Uwe Zeymer; Esther P Meindersma; Arnoud W J Van'tHof; Ed P de Kluiver; Markus Laimer; Matthias Wilhelm
Journal:  Cardiovasc Diabetol       Date:  2020-03-19       Impact factor: 9.951

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  1 in total

1.  Assessment of heart rate variability (HRV) in subjects with type 2 diabetes mellitus with and without diabetic foot: correlations with endothelial dysfunction indices and markers of adipo-inflammatory dysfunction.

Authors:  Antonino Tuttolomondo; Alessandro Del Cuore; Alessandro La Malfa; Alessandra Casuccio; Mario Daidone; Carlo Domenico Maida; Domenico Di Raimondo; Tiziana Di Chiara; Maria Grazia Puleo; Rosario Norrito; Giovanni Guercio; Antonio Pinto
Journal:  Cardiovasc Diabetol       Date:  2021-07-14       Impact factor: 9.951

  1 in total

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