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Immune Changes in Severe COVID-19 Pulmonary Infections

Whole Blood Immune Cells Characterization in Critically Ill COVID-19 Patients: A Prospective Study

Status
Completed
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT04386395
Acronym
COVIDIMM
Enrollment
50
Registered
2020-05-13
Start date
2020-03-30
Completion date
2021-06-30
Last updated
2021-07-15

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

Conditions

Immune System Disorder, SARS-CoV-2

Brief summary

SARS-CoV-2 outbreak causes a spectrum of clinical patterns that varies from asymptomatic infection to mildly symptomatic manifestations and more-severe forms that need intensive care. Until now, the immune response to SARS-CoV-2 virus infection has been poorly reported to help decision for immune modulation therapies. As a consequence, trials have been designed to test both anti-inflammatory molecules as steroids or anti-bodies against IL-6, and others proposing to boost immunity with interferon beta based on similar inclusion criteria. The immune response to infective agents including viruses may have a complex time evolution with early and late phases corresponding to different patterns, oscillating between pro-inflammation and immune-depression. The potential window to improve outcome in COVID-19 by therapeutic intervention aimed at a fine tuning between immune toxicity and immunodepression requires a longitudinal assessment during the course of illness, especially for the patients who develop acute respiratory failure. Immune monitoring of both innate and adaptive immunity would then be essential to appropriately design clinical trials. The whole blood cells evaluation was recorded according to the time intervals between the onset of symptoms and the sampling after ICU admission. Patients' care was standardized, especially with regard to ventilation, sedation, and antimicrobial treatment. In this study the investigators prospectively perform a longitudinal study of both innate and adaptive immunity on patients admitted to ICU for an COVID-19 related acute respiratory failure. The data will be analyzed in reference to the onset of initial symptoms and also to the admission in ICU. The primary end point is the evolution of the characterization of monocytes and their subsets in term of number and expression of HLA-DR. A similar approach is used for lymphocytes and their subtypes with in addition, an ex vivo testing of their capabilities to be stimulated by SARS-CoV-2 viral proteins in term of TNFalpha, INFgamma, and IL1beta production. The secondary end-point was to test the association with outcomes and other non-specific markers of inflammation as CRP (C reactive protein), PCT (procalcitonin), DDimers and ferritin.

Detailed description

The most severe form of COVID-19 treated in intensive care for acute respiratory failure may have a poor prognosis. Both the level of IL-6 and the severity of the lymphopenia have been associated to the poor prognosis. Better knowledge of the time evolution of the circulating immune cells subpopulations and functions will help to best tailor the treatment: anti-inflammatory strategy at the initial phase might be rapidly shifted to immune stimulation when immunodepression is diagnosed. It is then essential to assess the patients' immune status using flowcytometry methods to characterize both innate and adaptive immunity of the whole blood circulating immune peripheral blood mononuclear cells (PBMC). After cell staining with the adequate cell markers, the flowcytometry (NAVIOS® Flow Cytometer (Beckman Coulter) allowed to analyze the number and the function of the cells with an adequate gating strategy and the Kaluza® software v2.1 (Beckman Coulter). The data were then grouped by time intervals referring to the onset of symptoms and also to the ICU admission. The trend for innate immunity (monocytes number and subpopulations, HLA-DR expression) and for adaptive immunity (lymphocytes and subpopulations) will be analyzed. Since it is unknown if whole blood CD3/CD4 and CD3/CD8 lymphocytes elicit an exhaustion pattern and/or an abnormal response, an ex vivo testing of their reactivity for SARS-CoV-2 viral proteins will be performed. This test of polyfunctionality will characterize the intracellular cytokine expression (IL-1 beta, TNFalpha, and INFgamma) both for CD4 and CD8 T cells.

Interventions

None listed

Sponsors

Central Hospital, Nancy, France
Lead SponsorOTHER

Study design

Observational model
COHORT
Time perspective
PROSPECTIVE

Eligibility

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

Inclusion criteria

confirmed COVID-19 * a positive RT- PCR, * a highly suggestive thoracic CTScan, * severe hypoxemia

Exclusion criteria

* none

Design outcomes

Primary

MeasureTime frameDescription
Changes in monocytes HLA-DR expressionthrough ICU stay, an average of 30 dayscirculating immune cell characterization
Changes in lymphocytes subpopulations numbersthrough ICU stay, an average of 30 dayscirculating immune cell characterization
Changes in monocytes numberthrough ICU stay, an average of 30 dayscirculating immune cell characterization

Secondary

MeasureTime frameDescription
SOFA scorethrough ICU stay, an average of 30 daysSequential Organ dysfunction assessement, ranging from 0 (better) to 24 (worst) outcome
number of recorded deathsthrough study completion, an average of 6 monthsmortality
presence of pneumoniathrough ICU stay, an average of 30 daysinfectious complications
TNFalpha level4 hoursstimulation by SARS-CoV-2 viral proteins
presence of urinary tract infectionthrough ICU stay, an average of 30 daysinfectious complications
C reactive proteinthrough ICU stay, an average of 30 daysinflammation marker
D Dimersthrough ICU stay, an average of 30 daysinflammation marker
presence of bacteremiathrough ICU stay, an average of 30 daysinfectious complications
INFgamma level4 hoursstimulation by SARS-CoV-2 viral proteins
IL1beta level4 hoursstimulation by SARS-CoV-2 viral proteins

Countries

France

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 17, 2026