Serum Neutrophil Gelatinase-Associated Lipocalin and Cystatin C for Assessing Recovery of Graft Function in Patients Undergoing Living-Donor Kidney Transplantation

Liu, Yi; Li, Haixia; Ying, Ze-Wei; Guo, J C; Cao, Chen-Ying; Jia, Weiping; Yang, Huirong

doi:10.7754/clin.lab.2015.150612

Cited by 4 publications

(2 citation statements)

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“…It is acknowledged that serum cystatin C gets some advantages over creatinine when estimating the glomerular filtration function in recent publications. Our previous study has shown that after follow‐up of 9 months, serum cystatin C concentrations were still stayed above the upper limit of the normal range. Furthermore, Knight et al demonstrated that some factors such as inflammation, use of immunosuppressant may be correlated with the high levels of cystatin C after transplantation, which may support our discovery that the continuous high concentrations of serum cystatin C after transplantation.…”

Section: Discussionmentioning

confidence: 90%

The Reference Intervals for Serum C‐Terminal Agrin Fragment in Healthy Individuals and as a Biomarker for Renal Function in Kidney Transplant Recipients

Liu

et al. 2016

Clinical Laboratory Analysis

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Section: Discussionmentioning

confidence: 90%

The Reference Intervals for Serum C‐Terminal Agrin Fragment in Healthy Individuals and as a Biomarker for Renal Function in Kidney Transplant Recipients

Liu

et al. 2016

Clinical Laboratory Analysis

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“…Kusaka et al evaluated serum NGAL in predicting functional recovery after kidney transplantation and showed that the decrease of NGAL values after transplantation well correlated with the renal recovery and discriminated patients with immediate, slow or delayed graft function [26]. Recently, Liu et al showed that in 49 adult patients with living donor kidney transplants, serum NGAL on the day of transplantation was an independent predictor of graft function recovery [27]. Previously, we analyzed pNGAL and renal recovery in a post hoc analysis performed as part of the Genetic and Inflammatory Markers of Sepsis (GenIMS) study, a multicenter prospective study with patients with community-acquired pneumonia [5,28].…”

Section: Discussionmentioning

confidence: 99%

Plasma Biomarkers in Predicting Renal Recovery from Acute Kidney Injury in Critically Ill Patients

Fiorentino¹,

Tohme²,

Murugan³

et al. 2019

Blood Purif

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Background: Numerous studies have suggested a possible role for acute kidney injury (AKI) biomarkers in predicting renal recovery both before and after renal replacement therapy (RRT). However, definitions for recovery and whether to include patients dying but free of RRT may influence results. Objectives: To validate plasma neutrophil gelatinase-associated lipocalin (pNGAL) as a useful biomarker for predicting or improving the ability of clinical predictors alone to predict recovery following AKI, including in our model plasma B-type natriuretic peptide (pBNP) to account for cardiovascular events. Methods: We analyzed 69 patients enrolled in the Acute Renal Failure Trial Network study. pNGAL and pBNP were measured on days 2, 7, and 14. We analyzed their predictive ability for subsequent recovery, defined as alive and independent from dialysis in 60 days. In sensitivity analyses, we explored changes in results with alternative definitions of recovery. Results: Twenty-nine patients (42%) recovered from AKI. Neither pNGAL nor pBNP, alone or in combination, was accurate predictors of renal recovery-the best area under the receiver-operating characteristics curve (AUC) was for pNGAL using the largest relative change (AUC 0.59, 95% CI 0.45–0.74). The best clinical model achieved superior performance to biomarkers (AUC 0.69, 95% CI 0.56–0.81). The AUC was greatest (0.75, 95% CI 0.60–0.91) when pNGAL + pBNP on day 14 were added to the clinical model but this increase did not achieve statistical significance. However, integrated discrimination improvement analysis showed that the addition of pNGAL and pBNP on day 14 to the clinical model significantly improved the prediction of renal recovery (p = 0.008). Conclusions: pNGAL and pBNP can improve the accuracy of clinical parameters in predicting AKI recovery and a full model using biomarkers together with age achieved adequate discrimination.

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Prospective comparative study of postoperative systemic inflammatory syndrome in robot-assisted vs. open kidney transplantation

et al. 2021

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Serum Neutrophil Gelatinase-Associated Lipocalin and Cystatin C for Assessing Recovery of Graft Function in Patients Undergoing Living-Donor Kidney Transplantation

Cited by 4 publications

References 0 publications

The Reference Intervals for Serum C‐Terminal Agrin Fragment in Healthy Individuals and as a Biomarker for Renal Function in Kidney Transplant Recipients

The Reference Intervals for Serum C‐Terminal Agrin Fragment in Healthy Individuals and as a Biomarker for Renal Function in Kidney Transplant Recipients

Plasma Biomarkers in Predicting Renal Recovery from Acute Kidney Injury in Critically Ill Patients

Prospective comparative study of postoperative systemic inflammatory syndrome in robot-assisted vs. open kidney transplantation

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