MAJOR

Augmented digital twin cardiopulmonary monitoring in intensive care
Underway
01/08/2024

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31/07/2026

Main objectives

The project aims to meet the need for a tool to monitor cardio-respiratory functions in mechanically ventilated ICU patients, enabling the implementation of modern therapeutic strategies that are pro-active, rapid, personalized and minimally invasive. The aim is to eliminate deleterious events during the ICU stay, and thus reduce morbidity and mortality, as well as length of stay.

Challenge

Resuscitation patients are in a critical condition and require joint management of cardiopulmonary function. The management of mechanically ventilated intensive care patients involves ensuring both that the blood is well oxygenated and that it circulates unimpeded and perfuses the organs correctly. Oxygenation and perfusion are determined by the coupled actions of the heart and lungs, as well as by the state of the network. The condition of patients in intensive care is therefore closely linked to the coupling between these organs, requiring joint management of respiratory and cardiac functions. To optimize patient management, resuscitators need to optimize respiratory and cardiac functions in parallel, via the doses of medication administered and ventilator settings. To achieve this, it is essential to know the status of cardiopulmonary function, which requires the use of patient monitoring tools. This implies the use of monitoring devices that provide precise information on the cardiovascular and pulmonary systems and their interactions. However, to date, no monitoring device meets this need, which limits the quality of care that care teams can provide.

Methodology/Technology used

The MAJOR project aims to overcome current monitoring limitations with the development of augmented monitoring software. This will be based on a digital twin of the patient's cardiopulmonary system, and will improve diagnostic certainty for the events most frequently encountered in intensive care: arterial hypotension and hypoxemia.

Publications

Contacts

Alexandre Mebazaa () & Dominique Chapelle () & Fabrice Vallée () & François Kimmig () & Céline Grandmont ()

Members

AP-HP, Inria

Other projects

COVIPREDS

Description

US Caractérisation et prédiction de la survenue de formes graves ou létales du COVID-19 à partir des données issues de l’EDS de l’AP-HP

Names of partners involved
AP-HP, Inria & Centrale Supélec

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