Trials / Unknown
UnknownNCT05772091
Prognostic Value of Echocardiographic Parameters Based on Machine Learning Approach
Valeur Pronostique Dans Une Population d'Amylose Cardiaque Des paramètres échocardiographiques basée Sur Une Approche d'Apprentissage Automatique
- Status
- Unknown
- Phase
- —
- Study type
- Observational
- Enrollment
- 1,000 (estimated)
- Sponsor
- Pr. Nicolas GIRERD · Academic / Other
- Sex
- All
- Age
- 18 Years
- Healthy volunteers
- Not accepted
Summary
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.
Conditions
Timeline
- Start date
- 2023-09-29
- Primary completion
- 2024-03-31
- Completion
- 2024-03-31
- First posted
- 2023-03-16
- Last updated
- 2024-03-28
Locations
4 sites across 1 country: France
Source: ClinicalTrials.gov record NCT05772091. Inclusion in this directory is not an endorsement.