CCTA to Optimize the Diagnostic Yield of Invasive Angiography (CarDIA)
Coronary Computed Tomographic Angiography to Optimize the Diagnostic Yield of Invasive Angiography in Lower Risk Patients
Study Overview
Status
Status
Conditions
Conditions
Intervention / Treatment
Intervention / Treatment
Study Type
Study Type
Enrollment (Actual)
Enrollment
Contacts and Locations
Study Locations
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Ontario
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Hamilton, Ontario, Canada, L8L 2X2
- Hamilton General Hospital
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Participation Criteria
Eligibility Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Genders Eligible for Study
Sampling Method
Study Population
Description
Inclusion Criteria:
- Non urgent outpatient referral
- Canadian Cardiovascular Society class I or II
- Indication for invasive angiogram includes: Rule out Coronary Artery Disease (CAD) and Cardiomyopathy
Exclusion Criteria:
- Age <18 years old, Men >65 years old or women >75 years old
- Patient refusal to provide verbal consent for CCTA at time of triage contact or unable to provide informed consent
- Referring physician refusal for their eligible patients to be approached for the CarDIA study
- Any prior CCTA
- Atrial Fibrillation
- Creatinine > 150 mmol/L
- Diabetes mellitus
- High risk Exercise Stress Test or Functional Imaging
- Known severe valvular disease being considered for valve surgery
Any known CAD
- Prior Acute Coronary Syndrome (ACS)
- Prior Percutaneous Coronary Intervention (PCI) or Coronary Artery Bypass Graft (CABG)
Study Plan
How is the study designed?
Design Details
Number of groups / cohorts
Cohorts and Interventions
Group / CohortGroup / Cohort |
Intervention / TreatmentIntervention / Treatment |
|---|---|
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Intervention Group
All low-risk patients referred for invasive coronary angiography through the Hamilton General Hospital's Heart Investigation Unit Triage will be potentially eligible to receive the intervention over a 12-month period.
The intervention will include risk stratification with CCTA at HHS and NHS as an alternative to upfront invasive angiography.
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All low-risk patients referred for invasive coronary angiography will be potentially eligible to receive the intervention over a 12-month period.
The intervention will include risk stratification using Coronary Computed Tomographic Angiography (CCTA) at HHS and NHS as an alternative to upfront invasive angiography.
All CCTAs will be read by both a level 3-trained cardiologist and a radiologist.
The results of the CCTA, coupled with evidence-based management recommendations will be sent to the referring physician and an invasive angiogram will be arranged only when indicated as per these management recommendations
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Control Group
Intervention sites will act as their own controls: outcomes of all eligible patients in the 24-months prior to the implementation of the intervention will be assessed from a routinely collected health administrative database.
Eligible patients not undergoing CCTA (patient or physician refusal, or CCTA not available) will be captured and included in the control group as part of a sensitivity analysis during the intervention period
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What is the study measuring?
Primary Outcome Measures
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
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Diagnostic yield of invasive angiography
Time Frame: Three years
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Diagnostic yield is defined as the proportion of invasive angiograms that identify significant disease (≥70% stenosis) on a major coronary vessel (>2 mm) or > 50% stenosis in the left main)
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Three years
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Secondary Outcome Measures
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
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Quantitative assessment of angiograms avoided
Time Frame: Three years
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Number of angiograms avoided due to CCTA bookings
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Three years
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Deviation from management recommendations following CCTA
Time Frame: Three years
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Number of angiograms performed when not recommended
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Three years
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Protocol deviation as a surrogate for acceptability of the novel triage program
Time Frame: Three years
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Percentage of patients and physicians refusing to undergo CCTA as a first step
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Three years
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Costing of new strategy
Time Frame: Three years
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Cost of risk stratification of Coronary Artery Disease in low risk patients
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Three years
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Collaborators and Investigators
Sponsor
Sponsor
Collaborators
Collaborators
Investigators
Investigators
- Principal Investigator: Jon-David Schwalm, MD,FRCPC,Msc, Hamilton Health Sciences Corporation
- Principal Investigator: Tej Sheth, Bsc,FRCPC,MD, Hamilton Health Sciences Corporation
Publications and helpful links
General Publications
- Patel MR, Peterson ED, Dai D, Brennan JM, Redberg RF, Anderson HV, Brindis RG, Douglas PS. Low diagnostic yield of elective coronary angiography. N Engl J Med. 2010 Mar 11;362(10):886-95. doi: 10.1056/NEJMoa0907272. Erratum In: N Engl J Med. 2010 Jul 29;363(5):498.
- Dewey M, Rief M, Martus P, Kendziora B, Feger S, Dreger H, Priem S, Knebel F, Bohm M, Schlattmann P, Hamm B, Schonenberger E, Laule M, Zimmermann E. Evaluation of computed tomography in patients with atypical angina or chest pain clinically referred for invasive coronary angiography: randomised controlled trial. BMJ. 2016 Oct 24;355:i5441. doi: 10.1136/bmj.i5441. Erratum In: BMJ. 2016 Nov 29;355:i6420.
- Roth GA, Forouzanfar MH, Moran AE, Barber R, Nguyen G, Feigin VL, Naghavi M, Mensah GA, Murray CJ. Demographic and epidemiologic drivers of global cardiovascular mortality. N Engl J Med. 2015 Apr 2;372(14):1333-41. doi: 10.1056/NEJMoa1406656.
- Sheth T, Amlani S, Ellins ML, Mehta S, Velianou J, Cappelli G, Yang S, Natarajan M. Computed tomographic coronary angiographic assessment of high-risk coronary anatomy in patients with suspected coronary artery disease and intermediate pretest probability. Am Heart J. 2008 May;155(5):918-23. doi: 10.1016/j.ahj.2007.11.035. Epub 2008 Feb 19.
- Ouellette ML, Beller GA, Loffler AI, Workman VK, Bourque JM. Appropriate Referrals of Angiography Despite High Prevalence of Normal Coronary Arteries or Nonobstructive CAD. J Am Coll Cardiol. 2017 May 30;69(21):2673-2675. doi: 10.1016/j.jacc.2017.03.565. No abstract available.
- Zhang F, Wagner AK, Ross-Degnan D. Simulation-based power calculation for designing interrupted time series analyses of health policy interventions. J Clin Epidemiol. 2011 Nov;64(11):1252-61. doi: 10.1016/j.jclinepi.2011.02.007.
Study record dates
Study Major Dates
Study Start (Actual)
Study Start
Primary Completion (Actual)
Primary Completion
Study Completion (Actual)
Study Completion
Study Registration Dates
First Submitted
First Submitted
First Submitted That Met QC Criteria
First Submitted That Met QC Criteria
First Posted (Actual)
First Posted
Study Record Updates
Last Update Posted (Actual)
Last Update Posted
Last Update Submitted That Met QC Criteria
Last Update Submitted That Met QC Criteria
Last Verified
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
Other Study ID Numbers
- 4697
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
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