Prognostic Value of Echocardiographic Parameters Based on Machine Learning Approach

Study Results

Results pending

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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Recruitment Status

RECRUITING

Total Enrollment

1000 participants

Study Classification

OBSERVATIONAL

Study Start Date

2023-09-29

Study Completion Date

2024-03-31

Brief Summary

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Transthyretin cardiac amyloidosis is an increasingly recognized cause of heart failure with preserved ejection fraction. Its diagnosis is currently based on a non-invasive method including biology and imaging. Still currently incurable, the evolution of this pathology is burdened by numerous comorbidities, including iterative hospitalizations for heart failure leading to death. The Machine Learning approach has already shown its efficiency in terms of diagnosis but its prognostic approach has not yet been studied.

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Detailed Description

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Conditions

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Transthyretin Cardiac Amyloidosis

Study Design

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Observational Model Type

COHORT

Study Time Perspective

RETROSPECTIVE

Eligibility Criteria

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Inclusion Criteria

* Patients with suspicion of transthyretin cardiac amyloidosis
* Age ≥18 years

Exclusion Criteria

* Lack of data to confirm or overturn the transthyretin amyloidosis diagnostic
* Echocardiographic data not allowing deep analysis (technical default, bad echogenicity of the patient)
* Final diagnostic of AL or AA amyloidosis

Minimum Eligible Age

18 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

No