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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
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Severe pneumoniae | Evaluate the progression to AKI during first 30 days of recruitment |
|
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| urinary NGAL, TIMP-2, IGFBP7, IL-6, viral load and metabolomic | Diagnostic Test | 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 |
| Measure | Description | Time Frame |
|---|---|---|
| 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 | Seven days |
| Measure | Description | Time Frame |
|---|---|---|
| Incidence of AKI | Describe the incidence of AKI in critically ill patients with severe COVID-19 pneumonia | 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 |
| Measure | Description | Time Frame |
|---|---|---|
| Nosocomial Infections | Stablish the nosocomial infections in subjects with or without AKI | 30 days |
Inclusion Criteria:
Exclusion Criteria:
Elimination criteria:
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Older adults were recruited, with a diagnosis of COVID-19 confirmed by PCR, in their first 48 hours of hospitalization that meet severity criteria, with 5 to 7 degrees of severity according to the WHO classification.
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| Name | Affiliation | Role |
|---|---|---|
| Santiago Avila Rios, PhD | Instituto Nacional de Enfermedades Respiratorias | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Centro de Investigacion en Enfermedades Infecciosas | Mexico City | 14060 | Mexico |
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| ID | Term |
|---|---|
| D018352 | Coronavirus Infections |
| D000086382 | COVID-19 |
| D045169 | Severe Acute Respiratory Syndrome |
| ID | Term |
|---|---|
| D003333 | Coronaviridae Infections |
| D030341 | Nidovirales Infections |
| D012327 | RNA Virus Infections |
| D014777 | Virus Diseases |
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| ID | Term |
|---|---|
| D019562 | Viral Load |
| ID | Term |
|---|---|
| D008828 | Microbiological Techniques |
| D019411 | Clinical Laboratory Techniques |
| D019937 | Diagnostic Techniques and Procedures |
| D003933 | Diagnosis |
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The SARS-CoV-2 RNA will be obtained from 200 microliters of urine, by standard methods
| 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. | 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. | 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. | 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. | 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. | seven days |
| Metabolomic profile | Analyze the metabolomic profile in urine in patients with and without acute kidney injury with SARS-CoV-2 infection. | 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. | 30 days |
| D007239 |
| Infections |
| D011024 | Pneumonia, Viral |
| D011014 | Pneumonia |
| D012141 | Respiratory Tract Infections |
| D008171 | Lung Diseases |
| D012140 | Respiratory Tract Diseases |
| D008919 | Investigative Techniques |
| D018406 | Virus Physiological Phenomena |
| D008827 | Microbiological Phenomena |