Role of Urinary Kidney Stress Biomarkers for Early Recognition of Subclinical Acute Kidney Injury in Critically Ill COVID-19 Patients

A high proportion of critically ill patients with COVID-19 develop acute kidney injury (AKI) and die. The early recognition of subclinical AKI could contribute to AKI prevention. Therefore, this study was aimed at exploring the role of the urinary biomarkers NGAL and [TIMP-2] x [IGFBP7] for the early detection of AKI in this population. This prospective, longitudinal cohort study included critically ill COVID-19 patients without AKI at study entry. Urine samples were collected on admission to critical care areas for determination of NGAL and [TIMP-2] x [IGFBP7] concentrations. The demographic information, comorbidities, clinical, and laboratory data were recorded. The study outcomes were the development of AKI and mortality during hospitalization. Of the 51 individuals that were studied, 25 developed AKI during hospitalization (49%). Of those, 12 had persistent AKI (23.5%). The risk factors for AKI were male gender (HR = 7.57, 95% CI: 1.28-44.8; p = 0.026) and [TIMP-2] x [IGFBP7] >= 0.2 (ng/mL)(2)/1000 (HR = 7.23, 95% CI: 0.99-52.4; p = 0.050). Mortality during hospitalization was significantly higher in the group with AKI than in the group without AKI (p = 0.004). Persistent AKI was a risk factor for mortality (HR = 7.42, 95% CI: 1.04-53.04; p = 0.046). AKI was frequent in critically ill COVID-19 patients. The combination of [TIMP-2] x [IGFBP7] together with clinical information, were useful for the identification of subclinical AKI in critically ill COVID-19 patients. The role of additional biomarkers and their possible combinations for detection of AKI in ritically ill COVID-19 patients remains to be explored in large clinical trials.

Automated summary

A significant number of critically ill patients with COVID-19 develop acute kidney injury (AKI) and have high mortality rates. Early detection of subclinical AKI is crucial for AKI prevention. This study aimed to explore the urinary biomarkers NGAL and [TIMP-2] x [IGFBP7] for the early detection of AKI in COVID-19 patients. The results showed that combining [TIMP-2] x [IGFBP7] with clinical information was useful for identifying subclinical AKI in critically ill COVID-19 patients. Male gender and [TIMP-2] x [IGFBP7] >= 0.2 (ng/mL)(2)/1000 were identified as risk factors for AKI.