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Acute Kidney Injury and Renal Outcomes for COVID-19 Patients in Intensive Care Units

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Civil Hospices of Lyon

Status

Unknown

Conditions

on Occurrence of Acurate Kidney Injury During Intensive Care Unit
Abnormalities of Urinary Analysis

Treatments

Other: Non interventional study

Study type

Observational

Funder types

Other

Identifiers

NCT04459975
CoV-AKI_2020

Details and patient eligibility

About

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:

  1. To describe incidence, severity and mortality associated with AKI during covid-19 infection in ICU
  2. To identify specific risk factors for AKI
  3. To explore pathophysiologic mechanism of AKI during COVID-19 infection

Enrollment

200 estimated patients

Sex

All

Ages

18+ years old

Volunteers

No Healthy Volunteers

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)

Trial design

200 participants in 2 patient groups

AKI (-)
Description:
patients treated in ICU for COVID-19 infection and without occurrence of AKI (define as creatinine > 1,5x baseline according with KDIGO guidelines)
AKI (+)
Description:
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).
Treatment:
Other: Non interventional study

Trial contacts and locations

1

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Central trial contact

Denis FOUQUE, Professor; Maxime ESPI

Data sourced from clinicaltrials.gov

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