Visceral leishmaniasis-associated nephropathy in hospitalised Brazilian patients: new insights based on kidney injury biomarkers.

OBJECTIVE: To evaluate the usefulness of early acute kidney injury (AKI) biomarkers in clinical management of visceral leishmaniasis. METHODS: Prospective study with 50 hospitalised VL patients. AKI biomarkers, that is, serum and urinary neutrophil gelatinase-associated lipocalin (sNGAL, uNGAL, respectively), urinary kidney injury molecule-1 (uKIM-1) and urinary monocyte chemotactic protein-1 (uMCP-1), were quantified by immunoassay (ELISA). Also, interferon-gamma (INF-y) and C-reactive protein (CRP) were evaluated as inflammatory biomarkers possibly related to VL severity. RESULTS: VL patients had hyponatremia, hypoalbuminemia, hypergammaglobulinemia, haematologic and hepatic disorders. AKI was found in 46%, and one death (2%) occurred. The AKI group had significant longer hospital stay, lower levels of IFN-y and higher levels of CRP, more clinical renal abnormalities and higher levels of sNGAL, uNGAL, uKIM-1 and uMCP-1. Overall, sNGAL, uKIM-1 and uMCP-1 showed correlations with important clinical renal abnormalities, such as proteinuria, albuminuria, serum creatinine and glomerular filtration rate using adjusted correlations with CRP and IFN-y. Only sNGAL showed an early association with AKI development (OR = 2.78, 95% CI = 1.429-5.428, per each increase of 50 ng/ml), even after adjusting for clinical signals of VL severity and for immune biomarkers. Moreover, sNGAL showed a better performance in predicting AKI development (AUC-ROC = 0.81, 95% CI = 0.69-0.93; cut-off = 154 ng/ml, sensitivity = 82.6%, specificity = 74.1%, P < 0.001). CONCLUSIONS: Visceral leishmaniasis-associated nephropathy showed important proximal tubular injury and glomerular inflammation. Serum NGAL showed an early association with VL-associated nephropathy and may be used to improve clinical management strategies and decrease morbimortality in VL patients.

Urinary tubular biomarkers as predictors of death in critically ill patients with COVID-19.

Aim: To evaluate the prediction capacity of urinary biomarkers for death in critically ill patients with COVID-19. Methods: This is a prospective study with critically ill patients due to COVID-19 infection. The urinary biomarkers NGAL, KIM-1, MCP-1 and nephrin were quantified on ICU admission. Results: There was 40% of death. Urinary nephrin and MCP-1 had no association with death. Tubular biomarkers (proteinuria, NGAL and KIM-1) were predictors of death and cut-off values of them for death were useful in stratify patients with worse prognosis. In a multivariate cox regression analysis, only NGAL remains associated with a two-mount survival chance. Conclusion: Kidney tubular biomarkers, mostly urinary NGAL, had useful capacity to predict death in critically ill COVID-19 patients.