- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT04459975
Acute Kidney Injury and Renal Outcomes for COVID-19 Patients in Intensive Care Units
The actual COVID-19 epidemy is an unprecedented healthcare problem. Although acute respiratory distress syndrome is the main organ failure, acute kidney injury (AKI) has appeared to be more frequent and more severe than expected. Some data suggested a potential direct renal tropism of the virus, or undirect injury by "cytokine storm".
The aims of this study are:
- To describe incidence, severity and mortality associated with AKI during covid-19 infection in ICU
- To identify specific risk factors for AKI
- To explore pathophysiologic mechanism of AKI during COVID-19 infection
Study Overview
Status
Conditions
Intervention / Treatment
Study Type
Enrollment (Anticipated)
Contacts and Locations
Study Locations
-
-
-
Lyon, France, 69002
- Recruiting
- Intensive care units attached to the Hospices Civils de Lyon (HCL)
-
Contact:
- Denis FOUQUE, Professor
- Phone Number: +33 472 678 704
- Email: denis.fouque@chu-lyon.fr
-
Contact:
- Maxime EPSI
- Phone Number: +33 472 678 704
- Email: maxime.espi@chu-lyon.fr
-
-
Participation Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Genders Eligible for Study
Sampling Method
Study Population
Description
Inclusion Criteria:
- Confirmed COVID-19 infection (by qRT-PCR and/or TDM typical lesion)
- Needing intensive care
Exclusion Criteria:
- End Stage Renal Disease patients (with pre-existent dialysis)
- Intensive care support for less than 72h (transfer in conventional unit or death)
Study Plan
How is the study designed?
Design Details
Cohorts and Interventions
Group / Cohort |
Intervention / Treatment |
|---|---|
|
AKI (-)
patients treated in ICU for COVID-19 infection and without occurrence of AKI (define as creatinine > 1,5x baseline according with KDIGO guidelines)
|
|
|
AKI (+)
patient treated in ICU for COVID-19 infection and with occurrence of AKI among which: • Severe AKI patients (define as creatinine > 3x baseline or need for renal replacement therapy according with KDIGO guidelines) who will participate to biocollection and to post-mortem biopsy (if death). |
Comorbidities, creatinine levels, urinary analysis, hemodynamic, respiratory status, co-medication will be collected from medical files for each patient. Specific datas from patients with AKI will be collected from medical files For severe acute patients, serum and urinary analysis will performed to identify the underlying cause of kidney injury For severe AKI patients who will die, post-mortem renal biopsy will be performed, for histopathological analysis |
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Primary endpoint is the incidence, the severity and the mortality associated with AKI during COVID-19 severe infection
Time Frame: 7 months
|
AKI will be defined according with KDIGO guidelines: increase in creatinine of more than 1,5 fold compared to baseline Severe CVOID-19 infection is defined as 1/ confirm COVID-19 infection (by TDM and/or qRT-PCR) 2/ Requirement of ICU support during more than 72h
|
7 months
|
Collaborators and Investigators
Sponsor
Study record dates
Study Major Dates
Study Start (Actual)
Primary Completion (Anticipated)
Study Completion (Anticipated)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Actual)
Study Record Updates
Last Update Posted (Actual)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Keywords
Additional Relevant MeSH Terms
Other Study ID Numbers
- CoV-AKI_2020
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.