Skip to content

Echocardiographic Analysis by Artificial Intelligence in Hypertension

Echocardiographic Analysis by Artificial Intelligence in Hypertension

Status
Recruiting
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT06680986
Acronym
CARDINAL
Enrollment
200
Registered
2024-11-08
Start date
2022-06-01
Completion date
2024-12-31
Last updated
2024-11-08

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

Conditions

Arterial Hypertension

Keywords

Hypertension, HTN, Arterial Hypertension, Artificial Intelligence, AI, Cardiac remodelling, Left ventricular hypertrophy

Brief summary

The objective of this study is to develop artificial intelligence (AI) tools to characterize cardiac remodelling in arterial hypertension through the analysis of routine imaging data (echocardiography) coupled with patient data. More precisely, this study will make it possible (i) to represent in a relevant way the spectrum of the cardiac repercussions of a population affected by hypertension to better characterize the progress of the pathology, in particular vis-à-vis the more ambiguous subjects to be characterized (grey area); (ii) to develop tools for the automatic quantification of cardiac function (segmentation and robust monitoring of the myocardium during the cardiac cycle, for the dynamic analysis of the shape and global deformation of the heart) and therefore to extract descriptors richer in cardiac function than those currently used in clinical routine.

Interventions

OTHERClinical cardiac parameters (Arterial pressure, number of anti-hypertensive medications, and the NT-proBNP measurements)

The degree of severity of the hypertension will have been previously diagnosed for each patient with the help of the blood pressure measurements, the number of antihypertensive treatments and the NT-proBNP measurement which is correlated with the left intraventricular pressure and the mass of the left ventricle. This information will be used (i) to guide the structuring of the pathology representation space during the learning phase from a sub-population (a portion of the collected database that will be used for training algorithms); (ii) to serve as an endpoint from a test sub-population (the remaining portion of the database collected).

Sponsors

Hospices Civils de Lyon
Lead SponsorOTHER

Study design

Observational model
COHORT
Time perspective
RETROSPECTIVE

Eligibility

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

Inclusion criteria

Patients who underwent a comprehensive blood pressure assessment during hospitalization in the Cardiologic Federation at Croix Rousse Hospital and Lyon Sud Hospital between January 2018 and December 2021.

Exclusion criteria

Patients who are minors. Patients under curatorship or guardianship.

Design outcomes

Primary

MeasureTime frameDescription
Arterial Blood PressureBaselineThis measure will assess the arterial blood pressure in millimeters of mercury (mmHg). Blood pressure measurements will include both systolic and diastolic values. This measurement will be used to evaluate the severity of hypertension and track changes over the course of the study.
Number of Antihypertensive MedicationsBaselineThis measure will record the number of antihypertensive medications prescribed to each patient. The data will be used to assess the intensity of the treatment regimen required to control blood pressure levels in participants. Unit of Measure: Count of medications (integer)
NT-proBNP ConcentrationBaselineThis measure will assess plasma concentrations of N-terminal pro b-type natriuretic peptide (NT-proBNP), a biomarker correlated with left ventricular pressure and mass. NT-proBNP levels will be analyzed in picograms per milliliter (pg/mL) to evaluate cardiac stress associated with hypertension.

Countries

France

Contacts

Primary ContactPierreYves COURAND, MD
pierre-yves.courand@chu-lyon.fr(+33) 04 78 86 57 37
Backup ContactFatou LANGEVIN
fatou.langevin@chu-lyon.fr(+33) 04 72 07 28 65

Outcome results

None listed

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