Cardiac Magnetic Resonance Features and Outcomes of Patients With Non-Compaction Cardiomyopathy - a Retrospective Follow-up From Pakistan
NCT ID: NCT05281315
Last Updated: 2022-03-16
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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COMPLETED
294 participants
OBSERVATIONAL
2011-01-01
2020-12-31
Brief Summary
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Detailed Description
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Phenotypic presentation of LVNC can range from extremely thickened layer of non-compacted myocardium to mere presence of prominent trabeculae and recesses albeit a compacted myocardium. Transthoracic echocardiography is the first tool to diagnose LVNC. However, Cardiac Magnetic Resonance (CMR) imaging has emerged as a strong tool to differentiate between LVNCC from mere hyper-trabeculated LV myocardium when echocardiogram is inconclusive (Figure 1 and Video 1). Various criteria have evolved to diagnose LVNC by CMR. Peterson et al defined the end-diastole non-compacted to compacted myocardium ratio of \>2.3 to have good sensitivity, specificity, and negative predictive value for differentiating pathological non-compaction from hyper-trabeculation.
With an increase in the use of diagnostic cardiovascular imaging modalities in South-Asian (SA) belt, LVNC is being increasingly diagnosed. The exact prevalence of LVNC in SA is not known and phenotypic CMR characteristics, clinical features, and outcomes of LVNC remain unknown for SA population. This brought us to the need of analysing CMR data of LVNC at our centre.
Conditions
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Study Design
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COHORT
RETROSPECTIVE
Interventions
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Patients were retrospectively enrolled. This was a retrospective study and no intervention was performed.
Patients were retrospectively enrolled. This was a retrospective study and no intervention was performed.
Eligibility Criteria
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Inclusion Criteria
Exclusion Criteria
18 Years
ALL
No
Sponsors
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Aga Khan University Hospital, Pakistan
OTHER
Responsible Party
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Pirbhat Shams
Dr. Pirbhat Shams, Resident, Adult Cardiology, Department of Medicine, The Aga Khan University
Other Identifiers
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2020-5594-14863
Identifier Type: -
Identifier Source: org_study_id
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