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Prognostic Value of Echocardiographic Parameters Based on Machine Learning Approach

Prognostic Value of Echocardiographic Parameters Based on Machine Learning Approach

Recruiting
18 years and older
All
Phase N/A
  • Technical (Original)
  • Simplified (AI rewritten)

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Overview

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.

Eligibility

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

Study details
    Transthyretin Cardiac Amyloidosis

NCT05772091

Pr. Nicolas GIRERD

14 October 2025

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