Prediction of Acute Kidney Injury in Patients With COVID-19

NCT ID: NCT04406688

Last Updated: 2022-11-07

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

COMPLETED

Total Enrollment

300 participants

Study Classification

OBSERVATIONAL

Study Start Date

2020-06-22

Study Completion Date

2022-03-31

Brief Summary

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The two biomarkers determined in urine, "Tissue Inhibitor of Metalloproteinases 2 (TIMP-2)" and "Insulin-like Growth Factor-Binding Protein 7 (IGFBP7)", can indicate the occurrence of Acute kidney injury (AKI) in cardiac surgery and critically ill patients at an early stage. However, no data are available whether these parameters can also predict the occurrence of AKI in the context of COVID-19 infection. An early prediction of AKI can be helpful for the optimisation of therapeutic management to improve patient outcome and for the triage of patients.

The aim of this observational study is to evaluate whether the biomarker \[TIMP- 2\]\*\[IGFBP7\] can predict the occurrence of AKI in critically ill patients suffering from SARS-CoV2 associated acute respiratory distress syndrome.

Detailed Description

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Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) is rapidly spreading around the world. The current outbreak of infections with SARS-CoV-2 is termed Coronavirus Disease 2019 (COVID-19). Two other coronavirus infections, SARS in 2002-2003 and Middle East Respiratory Syndrome (MERS) in 2012, both caused severe respiratory syndrome in humans. All 3 of these emerging infectious diseases are caused by β-coronaviruses.

Although COVID-19 primarily affects the lungs and may cause severe hypoxemia, other organs including the GI tract, heart and kidney are affected. Acute kidney injury secondary to COVID-19 (COV-AKI) is reported to occur in about 15-25% of patients hospitalized with COVID-19 infection. The majority of AKI cases are mild to moderate with renal replacement requirement in about 25%. However, AKI was much more common in non-survivors (\>50%). Although kidney failure appears to occur late in the course, patients may begin to develop AKI within the first 3 days of hospitalization. Similar to AKI in other settings,3 COV-AKI is likely to be of variable etiology. Thus, there may be a long window for treatment.

The two cell-cycle arrest markers, tissue inhibitor of metalloproteinases-2 (TIMP-2) and insulin-like growth-factor binding protein 7 (IGFBP7), have been shown to early predict the occurrence of AKI in cardiac surgical and critically ill patients. However, there is no data available whether (TIMP-2)\*(IGFBP7) can predict the occurrence of AKI in the COVID19 setting. Early prediction of AKI may be valuable to optimize therapeutic management in order to improve patient's outcome and might be helpful to triage patients.

The goal of this observational trial is to evaluate whether (TIMP-2)\*(IGFBP7) early predicts the occurrence of AKI in critically ill patients with SARS-CoV2 associated ARDS.

Conditions

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Acute Kidney Injury COVID-19 ARDS

Study Design

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Observational Model Type

COHORT

Study Time Perspective

PROSPECTIVE

Eligibility Criteria

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Inclusion Criteria

1. Moderate or severe ARDS according to the Berlin definition
2. SARS-CoV2 positive test
3. Age ≥ 18 years
4. Informed consent

Exclusion Criteria

1. Pre-existing AKI
2. Severe CKD with eGFR\<20ml/min
3. Chronic dialysis dependency
4. Kidney transplant within the last 12 months
5. Pregnancy, breastfeeding
6. Persons with any kind of dependency on the investigator or employed by the sponsor or investigator.
Minimum Eligible Age

18 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

No

Sponsors

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University Hospital Muenster

OTHER

Sponsor Role lead

Responsible Party

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Responsibility Role SPONSOR

Principal Investigators

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Alexander Zarbock, MD

Role: STUDY_CHAIR

University Hospital Muenster, Dept. of Anesthesiology, Intensive Care Medicine and Pain Therapy

Locations

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University Hospital Münster

Münster, , Germany

Site Status

Papa Giovanni XXIII Hospital

Bergamo, , Italy

Site Status

San Bortolo Hospital

Vicenza, , Italy

Site Status

Centro Hospitalar e Universitário de Coimbra

Coimbra, , Portugal

Site Status

Centro Hospitalar e Universitário do Porto

Porto, , Portugal

Site Status

Hospital de la Vall d'Hebron

Barcelona, , Spain

Site Status

Hospital Germans Trias i Pujol

Barcelona, , Spain

Site Status

Hospital Sant Pau

Barcelona, , Spain

Site Status

University Hospital SAS de Jere

Jerez de la Frontera, , Spain

Site Status

Complejo Hospitalario de Navarra

Pamplona, , Spain

Site Status

Hospital Universitario Mutua Terrassa

Terrassa, , Spain

Site Status

Hospital la Fe

Valencia, , Spain

Site Status

Guy's & St. Thomas Hospital

London, , United Kingdom

Site Status

Countries

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Germany Italy Portugal Spain United Kingdom

References

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Weiss R, von Groote T, Ostermann M, Lumlertgul N, Weerapolchai K, Garcia MIM, Cano JMM, Del Corral BD, Broch-Porcar MJ, Perez Carrasco M, De la Vega Sanchez A, Sousa E, Catarino A, Roig AJB, Martinez de Irujo JB, de Rosa S, de la Pena MG, Tomasa T, Brivio M, De Molina FJG, Gerss J, Kellum JA, Wempe C, Leidereiter A, Meersch M, Zarbock A. The Role of Cell Cycle Arrest Biomarkers for Predicting Acute Kidney Injury in Critically Ill COVID-19 Patients: A Multicenter, Observational Study. Crit Care Med. 2023 Aug 1;51(8):992-1000. doi: 10.1097/CCM.0000000000005853. Epub 2023 Mar 28.

Reference Type DERIVED
PMID: 36975308 (View on PubMed)

Other Identifiers

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04-AnIt-20

Identifier Type: -

Identifier Source: org_study_id

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