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Screening Algorithm for Early Detection of Occult Cardiac Amyloidosis

Evaluation of a Screening Algorithm for Early Detection of Occult Cardiac Amyloidosis in Subjects at Risk

Status
Completed
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT05693376
Acronym
EARLY-CA
Enrollment
85
Registered
2023-01-23
Start date
2020-08-05
Completion date
2023-05-01
Last updated
2024-08-20

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Cardiac Amyloidosis

Keywords

Cardiac amyloidosis, Aortic stenosis, AS-ATTR

Brief summary

Early diagnosis of cardiac amyloidosis (CA) is crucial because of the poor overall survival, high mortality and the need for early therapy including new treatment possibilities for transthyretin amyloidosis. Previously considered a rare condition, CA is being demonstrated to account for up to 17 % of heart failure with preserved ejection fraction cases as well as up to 16 % of Patients with severe aortic stenosis, undergoing surgical of transcatheter aortic valve replacement. It seems that CA is being underdiagnosed as the data of post-mortem studies demonstrate that at least 25% of elderly individuals have histologic evidence of amyloid deposits. Other common conditions with increased afterload such as hypertensive or hypertrophic heart disease that mimic echocardiographic features or clinical symptoms may be the reason of postponed recognition of CA. Furthermore, the lack of definitive biomarkers makes the diagnosis even more challenging. However, it has been shown that some clinical, laboratory and echocardiographic findings, so called red flags, may indicate occult CA. A deeper and constructive analysis of the findings and establishment of prediction criteria could possibly lead to improvement of early CA recognition and survival in subjects at risk. We aim to prospectively perform a systematic screening for CA in individuals at risk based on predefined selection criteria. Our aim is to evaluate if specific criteria would lead to increased detection of CA and in this case, to define major and minor diagnostic criteria.

Detailed description

The study aims to perform a prospective screening and detect occult CA in subjects at risk with aortic valve stenosis, undergoing either transcatheter or surgical aortic valve replacement. The study has two main objectives. Firstly, we aim to determine the real prevalence of CA according to the targeted red flags analysis and secondly, we aim to establish an algorithm for early detection of CA.

Interventions

None listed

Sponsors

University Hospital, Essen
Lead SponsorOTHER

Study design

Observational model
COHORT
Time perspective
PROSPECTIVE

Eligibility

Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
Yes

Inclusion criteria

* Fulfillment of following four criteria: 1) Severe aortic stenosis. 2) Age \> 65 years for male and \>70 years for female. 3) Increased left ventricular wall thickness ≥14 mm. 4) Blood pressure ≤ 140/90 mmHg and at least 1 major or ≥ 2 minor criteria. Major criteria: 1. Carpal tunnel syndrom 2. Non-traumatic rupture of the biceps tendon 3. NT-proBNP \> 1000 pg/ml 4. hs Troponin value above the 99th percentile without dynamic changes (≤ 20%) Minor criteria: 1. Diastolic dysfunction (at least grade 2, E' \< 10 cm/s) 2. Sinus bradycardia/AV block/pacemaker 3. Atrial fibrillation

Exclusion criteria

* Known cardiac amyloidosis (ATTR or AL) * Unable to provide written informed consent * Refusal to provide written informed consent * Contraindications for study investigations

Design outcomes

Primary

MeasureTime frameDescription
Diagnosis of occult cardiac amyloidosis3 yearsEarly diagnosis of occult cardiac amyloidosis, based on a proposed screening algorithm

Countries

Germany

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026