Neonatal acute kidney injury – Severity and recovery prediction and the role of serum and urinary biomarkers

2017 ◽  
Vol 105 ◽  
pp. 57-61 ◽  
Author(s):  
Deirdre U. Sweetman
2020 ◽  
Vol 98 (4) ◽  
pp. 932-946 ◽  
Author(s):  
Jihyun Yang ◽  
Chan Johng Kim ◽  
Yoon Sook Go ◽  
Hee Young Lee ◽  
Myung-Gyu Kim ◽  
...  

2021 ◽  
Vol 6 (4) ◽  
pp. S35-S36
Author(s):  
E. Wijewickrama ◽  
F. Mohamed ◽  
N. Buckley ◽  
I. Gawarammana ◽  
G. Isbister

2016 ◽  
Vol 115 (12) ◽  
pp. 1046-1052 ◽  
Author(s):  
George Kuo ◽  
Shih-Yi Yang ◽  
Shiow-Shuh Chuang ◽  
Pei-Chun Fan ◽  
Chih-Hsiang Chang ◽  
...  

2017 ◽  
Vol 243 (2) ◽  
pp. 129-136 ◽  
Author(s):  
Yan-Fang Zou ◽  
Wen Zhang

Acute kidney injury, characterized by sharply decreased renal function, is a common and important complication in hospitalized patients. The pathological mechanism of acute kidney injury is mainly related to immune activation and inflammation. Given the high morbidity and mortality rates of hospitalized patients with acute kidney injury, the identification of biomarkers useful for assessing risk, making an early diagnosis, evaluating the prognosis, and classifying the injury severity is urgently needed. Furthermore, investigation into the development of acute kidney injury and potential therapeutic targets is required. While microRNA was first discovered in Caenorhabditis elegans, Gary Ruvkun’s laboratory identified the first microRNA target gene. Together, these two important findings confirmed the existence of a novel post-transcriptional gene regulatory mechanism. Considering that serum creatinine tests often fail in the early detection of AKI, testing for microRNAs as early diagnostic biomarkers has shown great potential. Numerous studies have identified microRNAs that can serve as biomarkers for the detection of acute kidney injury. In addition, as microRNAs can control the expression of multiple proteins through hundreds or thousands of targets influencing multiple signaling pathways, the number of studies on the functions of microRNAs in AKI progression is increasing. Here, we mainly focus on research into microRNAs as biomarkers and explorations of their functions in acute kidney injury. Impact statement Firstly, we have discussed the potential advantages and limitations of miRNA as biomarkers. Secondly, we have summarized the role of miRNA in the progress of AKI. Finally, we have made a vision of miRNA’s potential and advantages as therapeutic target intervention AKI.


2021 ◽  
Vol 12 ◽  
Author(s):  
Durval Sampaio de Souza Garms ◽  
Karina Zanchetta Cardoso Eid ◽  
Emmanuel A. Burdmann ◽  
Lia Junqueira Marçal ◽  
Leila Antonângelo ◽  
...  

Introduction: The incidence of acute kidney injury (AKI) related to vancomycin is variable, and several risk factors related to the treatment and patients may explain the nephrotoxicity. The role of urinary biomarkers in AKI related to vancomycin is unknown.Objective: The aim of this study was to evaluate the role of urinary IL-18, KIM-1, NGAL, TIMP-2, and IGFBP7 as diagnostic and prognostic predictors of AKI related to vancomycin.Methods: A prospective cohort study of patients receiving vancomycin and admitted to wards of a public university hospital from July 2019 to May 2020 was performed. We excluded patients that had AKI before starting vancomycin, hemodynamic instability, inability to collect urine, and chronic kidney disease stage 5.Results: Ninety-four patients were included, and the prevalence of AKI was 24.5%, while the general mortality was 8.7%. AKI occurred 11 ± 2 days after the first vancomycin dose. The most frequent KDIGO stage was 1 (61%). There was no difference between patients who developed and did not develop AKI due to gender, length of hospital stay, dose, and time of vancomycin use. Logistic regression identified age (OR 6.6, CI 1.16–38.22, p = 0.03), plasmatic vancomycin concentrations between 96 and 144 h (OR 1.18, CI 1.04-1.40, p = 0.04), and urinary NGAL levels between 96 and 144 h (OR 1.123, CI 1.096–1.290, p = 0.03) as predictors of AKI. The time of vancomycin use (OR 4.61, CI 1.11–22.02, p = 0.03), higher plasmatic vancomycin concentrations between 192 and 240 h (OR 1.02, CI 0.98–1.06, p = 0.26), and higher cell cycle arrest urinary biomarkers TIMP-2 multiplied by IGFBP-7 between 144 and 192 h (OR 1.33, CI 1.10–1.62, p = 0.02; OR 1.19, CI 1.09–1.39, p = 0.04, respectively) were identified as prognostic factors for non-recovery of kidney function at discharge.Conclusion: AKI related to vancomycin was frequent in patients hospitalized in wards. Age, plasmatic vancomycin concentrations, and NGAL between 96 and 144 h were identified as predictors of AKI related to vancomycin use. Plasmatic vancomycin concentrations and urinary NGAL were predictors of AKI diagnosis within the next 5 days. The urinary biomarkers of cell cycle arrest TIMP-2 and IGFBP-7 and the duration of vancomycin use were associated with non-recovery of kidney function at hospital discharge moment.


Critical Care ◽  
2017 ◽  
Vol 21 (1) ◽  
Author(s):  
Flávio de Oliveira Marques ◽  
Saulo Aires Oliveira ◽  
Priscila Ferreira de Lima e Souza ◽  
Wandervânia Gomes Nojoza ◽  
Maiara da Silva Sena ◽  
...  

2016 ◽  
Vol 102 (5) ◽  
pp. 1482-1489 ◽  
Author(s):  
Jeremiah R. Brown ◽  
William M. Hisey ◽  
Emily J. Marshall ◽  
Donald S. Likosky ◽  
Elizabeth L. Nichols ◽  
...  

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