NCT06328075

Brief Summary

The goal of this study is to develop an algorithm using artificial intelligence (AI) to assist identification of potential ATTR-CM cases using routine transthoracic echocardiography. The main questions it aims to answer are:

  • is the algorithm able to diagnose ATTR-CM
  • is the algorithm able to diagnose different types of ATTR-CM (ATTRv, ATTRwt) This is a non interventional study. Participant' echocardiographies will be, after deidentification, used to train, valid and test the algorithm.

Trial Health

57
Monitor

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Trial has exceeded expected completion date
Enrollment
15,000

participants targeted

Target at P75+ for all trials

Timeline
Completed

Started Jan 2022

Longer than P75 for all trials

Geographic Reach
1 country

1 active site

Status
recruiting

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

Click on a node to explore related trials.

Study Timeline

Key milestones and dates

Study Start

First participant enrolled

January 1, 2022

Completed
2.2 years until next milestone

First Submitted

Initial submission to the registry

March 12, 2024

Completed
13 days until next milestone

First Posted

Study publicly available on registry

March 25, 2024

Completed
9 months until next milestone

Primary Completion

Last participant's last visit for primary outcome

January 1, 2025

Completed
1 year until next milestone

Study Completion

Last participant's last visit for all outcomes

January 1, 2026

Completed
Last Updated

March 25, 2024

Status Verified

March 1, 2024

Enrollment Period

3 years

First QC Date

March 12, 2024

Last Update Submit

March 18, 2024

Conditions

Keywords

echocardiographyartificial intelligenceTransthyretin Amyloid Cardiomyopathy

Outcome Measures

Primary Outcomes (2)

  • Building and validating the diagnostic performance metrics curves of the AI algorithm to diagnose ATTR-CM :

    To develop and validate a tool using artificial intelligence an algorithm that will improve the automatic detection on routinely acquired echocardiography images of aspects suggestive of transthyretin amyloidosis. A confusion matrix will be built and the following diagnostic performance metrics be computed: * receiver operating characteristic curve (ROC) and area under curve (AUC) of the ROC : AUROC * Precision recall curve (PR) and area under curve (AUC) of the PR curve : AUC-PR

    year 1

  • Building and validating the diagnostic performance metrics of the AI algorithm to diagnose ATTR-CM :

    To develop and validate a tool using artificial intelligence an algorithm that will improve the automatic detection on routinely acquired echocardiography images of aspects suggestive of transthyretin amyloidosis ATTR. A confusion matrix will be built and the following diagnostic performance metrics be computed: Accuracy, Sensitivity or Recall, Specificity, False positive rate, False Negative Rate, Precision (all are expressed as ratio)

    year 1

Secondary Outcomes (8)

  • Building and validating the diagnostic performance metrics of the AI algorithm to diagnose ATTRwt-CM :

    year 1

  • Building and validating the diagnostic performance metrics of the AI algorithm to diagnose ATTRv-V122I-CM :

    year 1

  • Building and validating the diagnostic performance metrics of the AI algorithm to diagnose ATTRv-CM :

    year 1

  • Building and validating the diagnostic performance metrics of the AI algorithm to differentiate ATTR-CM from LV hypertrophy (LVH) :

    year 1

  • Building and validating the diagnostic performance metrics curves of the AI algorithm to diagnose ATTRwt-CM :

    year 1

  • +3 more secondary outcomes

Study Arms (2)

Transthyretin cardiac amyloidosis (ATTR-CM)

Patients with an ATTR-CM and undergoing a transthoracic echocardiography

Other: non interventional study

Controls

Patients without cardiac amyloidosis undergoing transthoracic echocardiography as part of cardiological follow-up

Other: non interventional study

Interventions

non interventional study

ControlsTransthyretin cardiac amyloidosis (ATTR-CM)

Eligibility Criteria

Age18 Years+
Sexall
Healthy VolunteersNo
Age GroupsAdult (18-64), Older Adult (65+)
Sampling MethodNon-Probability Sample
Study Population

The ATTR-CM cohort will be recruited in referral tertiary centers for cardiac amyloidosis The Control cohort will be recruited in the same centers from patients presenting an indication for transthoracic echocardiography as part of cardiological follow-up

You may qualify if:

  • Cardiac transthyretin amyloidosis diagnosed on the classic criteria:
  • Absence of monoclonal immunoglobulin AND
  • Presence of a bisphosphonate scintigraphy with enhancement in the cardiac area OR
  • Presence of a cardiac biopsy showing transthyretin (Congo red positive) cardiac amyloidosis (demonstrated either by immunostaining or by mass spectrometry) OR 3-Presence of a peripheral biopsy showing transthyretin amyloidosis (see above) associated with cardiac infiltration (parietal thickness \>12mm without other cause of cardiac hypertrophy)
  • No opposition to research
  • Another cause of cardiac amyloidosis: AL AA amyloidosis…
  • Mixed heart disease with associated presence of non-amyloid heart disease (ischemic heart disease, dilated, etc.)
  • Control patients:
  • Indication for transthoracic echocardiography as part of cardiological follow-up
  • Patient affiliated with social security
  • Patient's agreement to participate in the research and signature of the consent form.
  • Technical conditions of the examination and echogenicity allowing acquisition of good quality echocardiographic images, allowing post processing
  • Presence of cardiac amyloidosis as defined above
  • Presence of transthyretin amyloidosis even without demonstrated cardiac involvement
  • Patient monitored for asymptomatic transthyretin mutation
  • +1 more criteria

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (1)

Bichat

Paris, 75018, France

RECRUITING

MeSH Terms

Conditions

Amyloid Neuropathies, Familial

Condition Hierarchy (Ancestors)

Heredodegenerative Disorders, Nervous SystemNeurodegenerative DiseasesNervous System DiseasesAmyloid NeuropathiesPeripheral Nervous System DiseasesNeuromuscular DiseasesGenetic Diseases, InbornCongenital, Hereditary, and Neonatal Diseases and AbnormalitiesAmyloidosis, FamilialMetabolism, Inborn ErrorsMetabolic DiseasesNutritional and Metabolic DiseasesAmyloidosisProteostasis Deficiencies

Study Officials

  • Gabriel Steg, MD, PhD

    Bichat Hospital

    STUDY CHAIR

Central Study Contacts

Vincent Algalarrondo, MD, PhD

CONTACT

Gregory Ducrocq, MD, PhD

CONTACT

Study Design

Study Type
observational
Observational Model
CASE CONTROL
Time Perspective
OTHER
Sponsor Type
OTHER
Responsible Party
SPONSOR INVESTIGATOR
PI Title
Principal Investigator, Director of the referral center CRMR -CERAMIC CARDIO

Study Record Dates

First Submitted

March 12, 2024

First Posted

March 25, 2024

Study Start

January 1, 2022

Primary Completion

January 1, 2025

Study Completion

January 1, 2026

Last Updated

March 25, 2024

Record last verified: 2024-03

Data Sharing

IPD Sharing
Will not share

Investigators will provide access to individual de-identified participant data and related study documents (e.g. protocol, Statistical Analysis Plan (SAP), Clinical Study Report (CSR)) upon reasonable request from qualified researchers, and subject to certain criteria, conditions, and exceptions.

Locations