About 10% of patients admitted to the ICU suffer from ARDS, with a mortality rate of around 35-45%. The lack of therapeutic innovation in ARDS can be partly explained by the heterogeneity of patients included under this definition. A better understanding of the pathophysiological mechanisms underlying the different patient phenotypes is essential to develop new therapeutic strategies. Objectives: To characterize the inflammatory profile of patients with ARDS using circulating biomarkers and single-cell RNA sequencing of pulmonary immune cells. The investigators hypothesize that there is a correlation between the profile of serum biomarkers (inflammatory sub-phenotypes), the transcriptome of pulmonary immune cells. Briefly the experimental scheme is as follow: * Population: patients with ARDS under invasive mechanical ventilation in the ICU. * Intervention: 1. Determination of the inflammatory subphenotype on circulatory inflammatory biomarkers. 2. Characterization of inflammation by single cell RNA sequencing on lung immune cells collected on broncho-alveolar fluid.
Acute Respiratory Distress Syndrome (ARDS) is the most severe form of pulmonary failure. It is defined by bilateral radiologic opacities associated with severe hypoxemia, confirmed by a PaO₂/FiO₂ ratio \<300 in the absence of a cardiac cause. About 10% of patients admitted to the Intensive Care Units (ICU) develop ARDS, and this diagnosis is associated with an in-hospital mortality of 35-45%. Like sepsis, ARDS leads to long-term complications. It is associated with physical deconditioning and reduced quality of life that can persist up to five years after the episode. Survivors are readmitted to the ICU within a year in 30% of cases. Moreover, excess mortality among ARDS survivors is attributable, in nearly one-third of cases, to a new acute respiratory infection. The lack of therapeutic advances in ARDS has led researchers to better characterize patients with this condition. Different subphenotypes have been identified based on plasma inflammatory biomarker profiles, which are associated with distinct responses to treatments (such as corticosteroids, ventilatory management, and fluid management) and variable prognoses. The mechanisms underlying these different biological subphenotypes remain unknown. To further explore this concept, it is necessary to precisely identify subpopulations of patients who present with similar clinical features but distinct biological phenotypes driven by unique pathophysiological mechanisms. Establishing these different ARDS endotypes is essential for the development of innovative and targeted therapeutic strategies. Our hypothesis is that the different biological subphenotypes of ARDS reflect distinct profiles of pulmonary immune cell populations, representing a first step toward understanding ARDS endotypes. Identifying these endotypes is a crucial step for developing targeted and innovative therapeutic strategies aimed at reducing ARDS-related morbidity and mortality. This is the objective of the proposed project.
Study Type
OBSERVATIONAL
Enrollment
50
Hôpital Lariboisière
Paris, France
RECRUITINGSingle cell RNA sequencing of pulmonary immune cells
Single cell RNA sequencing of pulmonary immune cells collected during a bronchoalveolar lavage at inclusion.
Time frame: At baseline
Mortality
Mortality rate at day 90
Time frame: At day 90
Mortality
Mortality rate at one year
Time frame: 1 year
Time without respiratory support
Number of days alive without mechanical ventilation on day 28 after inclusion or on discharge from intensive care if this occurs before the 28th day
Time frame: At day 28
Length of stay in intensive care
Number of days in intensive care.
Time frame: From inclusion to ICU discharge up to 1 year
Number of secondary infections
Rate of secondary infections defined as a new prescription of antibiotics
Time frame: At day 90
Number of secondary infections
Rate of secondary infections defined as a new prescription of antibiotics
Time frame: 1 year
Impact perceived on quality of life
Quality of life assessed though the SF-12 questionnaire on the phone.
Time frame: At day 90
Impact perceived on quality of life
Rate of secondary infections defined as a new prescription of antibiotics
Time frame: 1 year
Dsypnea scale
Dyspnea scale assessed through mMRC questionnaire on the phone
Time frame: At day 90
Dsypnea scale
Dyspnea scale assessed through mMRC questionnaire on the phone
Time frame: 1 year
Organ failure
SOFA score assessment
Time frame: At baseline
Organ failure
SOFA score assessment
Time frame: At day 7.
Need for vasopressor
Need for vasopressor (epinephrine or norepinephrine)
Time frame: At baseline
Vasopressor free days
Number of days alive without vasopressors on day 28 after inclusion or on discharge from intensive care if this occurs before the 28th day.
Time frame: At day 28 or at discharge from intensive care
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