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Blood Biomarkers as Predictors of COVID-19 Disease Progression in Recently Infected Chronic Haemodialysis Patients (PredictCovid-D)

Primary Purpose

COVID-19 by SARS-CoV-2 Infection

Status
Unknown status
Phase
Not Applicable
Locations
France
Study Type
Interventional
Intervention
blood sample
Sponsored by
Centre Hospitalier Universitaire de Nice
About
Eligibility
Locations
Arms
Outcomes
Full info

About this trial

This is an interventional other trial for COVID-19 by SARS-CoV-2 Infection

Eligibility Criteria

18 Years - 85 Years (Adult, Older Adult)All SexesDoes not accept healthy volunteers

Inclusion Criteria:

  • Patients with end-stage chronic renal disease requiring haemodialysis support;
  • SARS-CoV-2 positive (RT-PCR);
  • COVID-19 symptoms at least once over a 8-day period preceding inclusion;
  • Hospitalized or outpatients in one of the study centers: CHU de Nice, CHU de Strasbourg, Hôpital Necker (APHP), Hôpital Kremlin Bicêtre (APHP), Hôpital Pitié-Salpétriêre (APHP), Hospices Civils de Lyon, CHU de Saint-Etienne, CHU de Montpellier, Hôpital La Conception (APHM);
  • Age > 18 years;
  • Free and informed consent.

Exclusion Criteria:

  • Age > 85 years ;
  • Peritoneal dialysis;
  • Onset of symptoms (fever and/or cough) for more than 8 days;
  • Acute respiraytory distress despite oxygen therapy, 02 ≥ 4L/min, arterial pressure < 85/55 mmHg or hemodynamic instability at time of inclusion, encephalopathy with Glasgow coma scale < 14;
  • Treatment with non-steroids anti-inflammatory agents within the laste 14 days preceding onset of symptoms;
  • Active bacterial or fungal infection documented at inclusion;
  • Pregnancy;
  • Under guardianship or curatorship;
  • Non-affiliated person with Social Security.

Sites / Locations

  • CHU de niceRecruiting

Arms of the Study

Arm 1

Arm Type

Other

Arm Label

Covid-19 patients with moderate symptoms

Arm Description

Whole blood, culture supernatant, serum

Outcomes

Primary Outcome Measures

Predictive value of IL-6 contents of whole blood samples after ex vivo stimulation
Quantity of IL-6 in of whole blood samples after ex vivo co-stimulation with LPS and ATP in Covid-19 patients.

Secondary Outcome Measures

Full Information

First Posted
April 28, 2020
Last Updated
April 30, 2020
Sponsor
Centre Hospitalier Universitaire de Nice
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1. Study Identification

Unique Protocol Identification Number
NCT04371510
Brief Title
Blood Biomarkers as Predictors of COVID-19 Disease Progression in Recently Infected Chronic Haemodialysis Patients
Acronym
PredictCovid-D
Official Title
Blood Innate Biomarkers as Predictors of COVID-19 Disease Progression in Recently Infected Chronic Haemodialysis Patients
Study Type
Interventional

2. Study Status

Record Verification Date
April 2020
Overall Recruitment Status
Unknown status
Study Start Date
April 22, 2020 (Actual)
Primary Completion Date
October 22, 2020 (Anticipated)
Study Completion Date
February 22, 2021 (Anticipated)

3. Sponsor/Collaborators

Responsible Party, by Official Title
Sponsor
Name of the Sponsor
Centre Hospitalier Universitaire de Nice

4. Oversight

Studies a U.S. FDA-regulated Drug Product
No
Studies a U.S. FDA-regulated Device Product
No
Data Monitoring Committee
No

5. Study Description

Brief Summary
SARS-CoV-2 induces over-production of inflammatory cytokines, and especially interleukin-6 (IL-6). The apparently strong association between blood levels of inflammaory cytokines and SARS-CoV-2 disease severity has led clinicians to evaluate the administration of steroids or anti-IL-6 antagonists in severely ill patients. As of this day, biomarkers capable of predicting clinical disease progression in Covid-19 patients with mild-to-moderate symptoms have not yet been formally identified. Identifying such markers and evaluating their predictive value may be exploited to guide patient care management, and as such forms the core objective of this proposal. Because of strong inter-individual variations in the ability of innate immune cells to produce cytokines, the hypothesis the investigators formulate and intend to test is that innate IL-6 responsiveness varies between recently infected Covid-19 patients and could predict disease outcome. To test this hypothesis, the investigators propose to follow recently infected chronic haemodialysis patients with moderate Covid-19 symptoms. These patients stand a higher risk to progress to severe disease. The investigators plan to collect a blood sample in these patients using a system whereby ex vivo cytokine production is initiated in the very same blood collection tube without prior separation and centrifugation, thus reducing labour and operator bias. After incubation with or without known innate immune stimuli, the cell-free phase from each collection-culture tube will be assayed for IL-6 content. Associations between IL-6 content and disease outcome (encephalopathy, transfer to acute care or death) will be determined in 115 Covid-19 chronic haemodialysis patients with moderate symptoms followed in 9 centers.

6. Conditions and Keywords

Primary Disease or Condition Being Studied in the Trial, or the Focus of the Study
COVID-19 by SARS-CoV-2 Infection

7. Study Design

Primary Purpose
Other
Study Phase
Not Applicable
Interventional Study Model
Single Group Assignment
Model Description
PredictCOVID-D study. Covid-19 chronic haemodialysis patients with moderate symptoms
Masking
None (Open Label)
Allocation
N/A
Enrollment
115 (Anticipated)

8. Arms, Groups, and Interventions

Arm Title
Covid-19 patients with moderate symptoms
Arm Type
Other
Arm Description
Whole blood, culture supernatant, serum
Intervention Type
Other
Intervention Name(s)
blood sample
Intervention Description
a blood sample is taken on Covid-19 chronic haemodialysis patients with moderate symptoms
Primary Outcome Measure Information:
Title
Predictive value of IL-6 contents of whole blood samples after ex vivo stimulation
Description
Quantity of IL-6 in of whole blood samples after ex vivo co-stimulation with LPS and ATP in Covid-19 patients.
Time Frame
10 months

10. Eligibility

Sex
All
Minimum Age & Unit of Time
18 Years
Maximum Age & Unit of Time
85 Years
Accepts Healthy Volunteers
No
Eligibility Criteria
Inclusion Criteria: Patients with end-stage chronic renal disease requiring haemodialysis support; SARS-CoV-2 positive (RT-PCR); COVID-19 symptoms at least once over a 8-day period preceding inclusion; Hospitalized or outpatients in one of the study centers: CHU de Nice, CHU de Strasbourg, Hôpital Necker (APHP), Hôpital Kremlin Bicêtre (APHP), Hôpital Pitié-Salpétriêre (APHP), Hospices Civils de Lyon, CHU de Saint-Etienne, CHU de Montpellier, Hôpital La Conception (APHM); Age > 18 years; Free and informed consent. Exclusion Criteria: Age > 85 years ; Peritoneal dialysis; Onset of symptoms (fever and/or cough) for more than 8 days; Acute respiraytory distress despite oxygen therapy, 02 ≥ 4L/min, arterial pressure < 85/55 mmHg or hemodynamic instability at time of inclusion, encephalopathy with Glasgow coma scale < 14; Treatment with non-steroids anti-inflammatory agents within the laste 14 days preceding onset of symptoms; Active bacterial or fungal infection documented at inclusion; Pregnancy; Under guardianship or curatorship; Non-affiliated person with Social Security.
Central Contact Person:
First Name & Middle Initial & Last Name or Official Title & Degree
SICARD Antoine, Ph
Phone
+33492037918
Email
sicard.a@chu-nice.fr
First Name & Middle Initial & Last Name or Official Title & Degree
BEN HASSEN-DAKHLAOUI NADIA CHU Nice <benhassen-dakhlaoui Nadia
Phone
+33492037918
Email
BEN HASSEN-DAKHLAOUI NADIA CHU Nice <benhassen-dakhlaoui.n@chu-nice.fr>
Overall Study Officials:
First Name & Middle Initial & Last Name & Degree
sicard antoine, ph
Organizational Affiliation
Néphrologie, CHU de Nice
Official's Role
Principal Investigator
Facility Information:
Facility Name
CHU de nice
City
Nice
State/Province
Alpes-Maritimes
ZIP/Postal Code
06001
Country
France
Individual Site Status
Recruiting
Facility Contact:
First Name & Middle Initial & Last Name & Degree
SICARD Antoine
Phone
+33492037918
Email
sicard.a@chu-nice.fr
First Name & Middle Initial & Last Name & Degree
SICARD Antoine

12. IPD Sharing Statement

Plan to Share IPD
Undecided

Learn more about this trial

Blood Biomarkers as Predictors of COVID-19 Disease Progression in Recently Infected Chronic Haemodialysis Patients

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