Severe pneumoniae related to Coronavirus Disease (COVID-19), had a high in-hospital mortality; this condition are worst in subjects with acute kidney disease (AKI); conditioning increased mortality, days of assisted mechanical ventilation (AMV), increased nosocomial infections and high costs. We need many studies for determinated the risk factors for AKI in subjects with COVID-19. This study pretends identify the incidence of AKI in subjects with severe pneumoniae by COVID-19, describe the role of some biomarkers in the physiopathology of AKI-COVID-19; and determine the evolution of urinary biomarkers during hospitalization, like neutrophil gelatinase-associated lipocalin (NGAL), tissue inhibitor of metalloproteinases-2 (TIMP-2), insulin-like growth factor binding protein-7 (IGFBP7), and interleukin-6 (IL-6) and the progression of viruria of Severe Acute Respiratory Syndrome (SARS) related to CoronaVirus 2 (CoV2) in subjects with or without AKI.
The usefulness of urinary NGAL levels and the platelet / lymphocyte index as predictive markers of AKI in the context of COVID-19 will be studied. These results will allow to propose more appropriate strategies for the prevention, diagnosis and timely management of patients with severe pneumonia due to COVID-19 and AKI. Knowing the viral load in urine and its evolution in patients with and without AKI will allow us to explore associations between the presence of the virus at the local level and the presence of kidney damage. Likewise, the presence of viral load in urine and its possible relationship with the local activation of the complement system, together with the detection of biomarkers of kidney damage, like NGAL, TIMP-2, IGFBP7, and IL-6, will allow us to better understand the pathophysiology of these alterations in the context of COVID-19; additionally, some patients received tocilizumab, an IL-6 inhibitor as a compassionate measure, which may reduce urinary levels of interleukins and other inflammatory markers. Finally, the study of possible differences in the metabolome in urine in patients with and without acute kidney injury could favor the discovery of new markers to identify patients with SARS-CoV-2 infection susceptible to the development of AKI. Determine the evolution of NGAL, TIMP-2, IGFBP7, IL-6, viral load and metabolomic basal, and the days 3 , 5 and 7 after recruitment
Study Type
OBSERVATIONAL
Enrollment
51
Determine the evolution of NGAL, TIMP-2, IGFBP7, IL-6, viral load and metabolomic at basal, and the 3 , 5 and 7 days after recruitment
Centro de Investigacion en Enfermedades Infecciosas
Mexico City, Mexico
Urinary levels of renal biomarkers
To estimate the strength of association between the elevation of urinary levels of NGAL, TIMP-2, IGFBP7 and IL-6 and the development of AKI associated with SARS-CoV-2 pneumonia
Time frame: Seven days
Incidence of AKI
Describe the incidence of AKI in critically ill patients with severe COVID-19 pneumonia
Time frame: One month
Urinary levels of renal biomarkers and mortality
Estimate the strength of association of elevated urinary levels of NGAL, TIMP-2, IGFBP7 and IL-6 with mortality
Time frame: 30 days
Urinary levels of renal biomarkers and severity of the disease.
Estimate the strength of association of elevated urinary levels of NGAL, TIMP-2, IGFBP7 and IL-6 with teh severity of the disease.
Time frame: 30 days
Risk factors for AKI in severe COVID-19
Identify possible risk factors (epidemiological, clinical, paraclinical, use of nephrotoxic agents) for the development of AKI in critically ill patients with COVID-19 pneumonia.
Time frame: 30 days
Evolution renal biomarkers
Compare the evolution over time of renal function markers (NGAL, TIMP-2 and IGFBP7) in patients with and without kidney injury.
Time frame: 7 days
Evolution of viral load
Compare the evolution over time of the SARS-CoV-2 viral load in patients with and without acute kidney injury.
Time frame: 7 days
Evolution of complement pathway
Analyze the complement pathway in urine and compare its evolution over time in patients with and without acute kidney injury and SARS-CoV-2 infection.
Time frame: seven days
Metabolomic profile
Analyze the metabolomic profile in urine in patients with and without acute kidney injury with SARS-CoV-2 infection.
Time frame: 7 days
Respiratory changes
Describe partial arterial oxygen concentration/inspired oxygen faction (PaO2/FiO2) ratio and radiologic evolution in patients with severe SARS COV2 pneumonia.
Time frame: 30 days
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