Signature of the Risk Profile of Mortality in a Hospital Cohort of Patients With Metabolic Diseases

Summary

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Description

The prediction of the onset of diabetes and metabolic complications, especially cardiovascular, renal, or hepatic, is a major challenge to optimize the management of this disease. Teams from the University Hospital of Lille have developed the Integra cohort study to identify the clinical and biologi...

The prediction of the onset of diabetes and metabolic complications, especially cardiovascular, renal, or hepatic, is a major challenge to optimize the management of this disease. Teams from the University Hospital of Lille have developed the Integra cohort study to identify the clinical and biological determinants of the occurrence of these complications and the mortality of patients with metabolic disorders. The aim of the study is to identify clinico-biological determinants that are able to predict the occurence of death, cardiovascular events as well as hepatic or nephrotic one. Follow-up data will be collected from National System of Health Data (SNDS) where data concerning hospitalisations, medical consultations and treatments are registered. Biological samples are collected at baseline for a large OMICs analysis (metabolomics, genetics, transcriptomics and epigenomics) that would feed our predictive scoring system. This project will allow us to describe new models of prediction of metabolic diseases and its complications, and to offer adapted and personalised methods of management, which can slow the progression of the disease and improve its prognosis.

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