Correlation of Cystatin C, Serum Creatinine, GFR in Live Donors with Recipient Graft Function at the End of 2 Weeks Post Transplantation Using Generic Immunosuppressive Agents (Pangraf and Mycept)

2012 ◽  
Vol 94 (10S) ◽  
pp. 1109
Author(s):  
P. D. Babu ◽  
Y. N.V. Reddy ◽  
K. S K ◽  
G. Abraham ◽  
M. Mathew ◽  
...  
Keyword(s):  
Serum Creatinine ◽  
Cystatin C ◽  
Immunosuppressive Agents ◽  
Graft Function ◽  
Post Transplantation ◽  
Live Donors

scholarly journals Comparative Assessment of uNGAL, uNAG and Cystatin C As Early Biomarkers in Renal Post-Transplant Patients

2018 ◽  
Vol 45 (2) ◽  
pp. 12-19
Author(s):  
G. Nikolov ◽  
M. Boncheva ◽  
T. Gruev ◽  
K. T. Trajkovska ◽  
I. Kostovska
Keyword(s):  
Serum Creatinine ◽  
Cystatin C ◽  
Graft Function ◽  
Roc Curves ◽  
Urinary Ngal ◽  
Kidney Transplant Recipients ◽  
Serum Cystatin C ◽  
Post Transplantation ◽  
Post Transplant ◽  
One Year

Abstract Urinary neutrophil gelatinase-associated lipocalin (uNGAL), urinary N-acetyl-bd-glucosaminidase (NAG), urinary α1-microglobulin/creatinine ratio and cystatin C have been suggested as potential early markers of delayed graft function (DGF) following kidney transplantation. We conducted a prospective study in 50 consecutive kidney transplant recipients to evaluate serial changes of these biomarkers within the first week after transplantation and assess their performance in predicting DGF (dialysis requirement during initial post-transplant week) and graft function throughout the first year. Urine samples were collected on post-transplantation days 0, 1, 2, 4, and 7. Statistical analysis: Linear mixed and multivariable regression models, receiver-operating characteristic (ROC), and areas under ROC curves were used. At all-time points, mean urinary NGAL levels were significantly higher in patients developing DGF. Shortly after transplantation (3-6 h), uNGAL and uNAG values were higher in DGF recipients (on average +242 ng/mL; NAG – 6.8 U/mmol creatinine, considering mean dialysis time of 4.1 years) and rose further in the following days, contrasting with prompt function recipients. On Day-1 uNGAL levels accurately predicted DGF (AUC-ROC = 0.93), with a performance higher than serum creatinine (AUC-ROC = 0.76), and similar to cystatin C (AUC-ROC = 0.95). Multivariable analyses revealed that uNGAL levels at days 4 and 7 were strongly associated with one-year serum creatinine level. Urinary NGAL, serum cystatin C is an early marker of graft injury and is independently associated with dialysis requirement within one week after transplantation and one-year graft function.

scholarly journals A triple-biomarker approach for the detection of delayed graft function after kidney transplantation using serum creatinine, cystatin C, and malondialdehyde

2015 ◽  
Vol 48 (16-17) ◽  
pp. 1033-1038 ◽  
Author(s):  
Isabel Fonseca ◽  
Henrique Reguengo ◽  
José Carlos Oliveira ◽  
La Salete Martins ◽  
Jorge Malheiro ◽  
...  
Keyword(s):  
Kidney Transplantation ◽  
Serum Creatinine ◽  
Cystatin C ◽  
Graft Function ◽  
Delayed Graft Function

scholarly journals Serum Cystatin C in Patients with Delayed Graft Function

2016 ◽  
Vol 43 (1) ◽  
pp. 14-22
Author(s):  
M. Boncheva ◽  
T. Gruev ◽  
G. Nikolov
Keyword(s):  
Cystatin C ◽  
Graft Function ◽  
High Sensitivity ◽  
Acute Rejection Episode ◽  
Serum Cystatin C ◽  
Post Transplantation ◽  
Creatinine Concentration ◽  
Serum Cystatin ◽  
The Mean ◽  
Kinetics Of

SummaryDespite recent studies showing that serum Cystatin C (CysC) is a better marker for glomerular filtration rate (GFR) than the ubiquitously used creatinine, the clinical utility of these findings remains to be evaluated. This marker is very sensitive for allograft function after renal transplantation. The concentration of CysC was compared with that of the creatinine. Decreased renal function was followed in 64 transplanted patients. Serum CysC significantly correlated with creatinine in healthy controls (r = 0.625, p < 0.0001), whereas in the transplanted patients the mean serum creatinine and CysC concentrations were: 81 ± 13 mmol/L and 0.90 ± 0.22 mg/L, respectively. Serum CysC and creatinine significantly correlated throughout the post transplantation period (r = 0.686, p < 0.001), but we confirmed differences between kinetics of these parameters. In the first four days after transplantation the CysC concentration was normalized faster than the creatinine concentration. Development of acute rejection episode (between 5 and 7 days) showed high sensitivity and specificity of the changes of CysC compared with those of creatinine.

A Comparison Between Serum Creatinine and Cystatin C-Based Equations for Estimation of Graft Function

2012 ◽  
Vol 44 (8) ◽  
pp. 2352-2356 ◽  
Author(s):  
J. Malheiro ◽  
I. Fonseca ◽  
L.S. Martins ◽  
M. Almeida ◽  
S. Pedroso ◽  
...  
Keyword(s):  
Serum Creatinine ◽  
Cystatin C ◽  
Graft Function

scholarly journals Monitoring of Renal Allograft Function with Different Equations: What are the Differences?

2017 ◽  
Vol 15 (1) ◽  
pp. 24-28
Author(s):  
Irena Rambabova Bushljetikj ◽  
Gjulsen Selim ◽  
Olivera Stojcheva Taneva ◽  
Sasho Dohchev ◽  
Oliver Stankov ◽  
...  
Keyword(s):  
Serum Creatinine ◽  
Renal Allograft ◽  
Graft Function ◽  
Mean Value ◽  
Post Transplantation ◽  
Transplant Patients ◽  
Mdrd Equation ◽  
Transplant Center ◽  
Mathematical Equations ◽  
The Mean

AbstractIntroduction. Monitoring of graft function by creatinine concentrations in serum and calculated glomerular filtration rate (GFR) is recommended after kidney transplantation. KDIGO recommendations on the treatment of transplant patients advocate usage of one of the existing mathematical equations based on serum creatinine. We compared clinical application of three equations based on serum creatinine in monitoring the function of transplanted kidney. Methods. A total number of 55 adult patients who received their first renal allograft from living donors at our transplant center in between 2011-2014 were included into the study. Renal allograft GFR was estimated by the Cockroft-Gault, Nankivell and MDRD formula, and correlated with clinical parameters of donors and recipients. Results. The mean age of recipients was 35.7±9.5 (range 16-58), and the mean age of donors was 55.5±9.0 (34- 77) years. Out of this group of 55 transplant patients, 50(90.91%) were on hemodialysis (HD) prior to transplantation. HD treatment was shorter than 24 months in 37(74%) transplant patients. The calculated GFR with MDRD equation showed the highest mean value at 6 and 12 months (68.46±21.5; 68.39±24.6, respectively) and the lowest at 48 months (42.79±12.9). According to the Cockroft&Gault equation GFR was the highest at 12 months (88.91±24.9) and the lowest at 48 months (66.53±18.1 ml/min). The highest mean level (80.53±17.7) of the calculated GFR with the Nankivell equation was obtained at 12 months and the lowest (67.81±16.7 ml/min) at 48 months. The values of Pearson’s correlation coefficient between the calculated GFR and the MDRD at 2 years after transplantation according to donor’s age of r=-0.3224, correlation between GFR and the Cockfroft & Gault at 6 and 12 months and donor’s age (r=-0.2735 and r=-0.2818), and correlation between GFR and the Nankivell at 2 years and donor’s age of r=-0.2681, suggested a conclusion that calculated GFR was lower in recipients who had an older donors. Conclusion. Our analysis showed difference in the calculated GFR with different equations at the same time points. Using one mathematical equation during the total post-transplantation period would be a recommended method in order to eliminate the discrepancy in determining the stage of kidney failure.

scholarly journals Serum Cistatin C in patients with delayed graft function

2005 ◽  
Vol 51 ◽  
pp. 35-40
Author(s):  
Todor Gruev ◽  
Margarita Boncheva ◽  
Olivera Stojceva-Taneva ◽  
Angel Mitrevski ◽  
Vasko Aleksovski
Keyword(s):  
Cystatin C ◽  
Graft Function ◽  
High Sensitivity ◽  
Acute Rejection Episode ◽  
Serum Cystatin C ◽  
Post Transplantation ◽  
Creatinine Concentration ◽  
Serum Cystatin ◽  
The Mean ◽  
Kinetics Of

Despite recent studies showing that serum Cystatin C(CysC) is a better marker for glomerular filtration rate (GFR) than the ubiquitously used creatinine, the clinical utility of this remains to be evaluated. This marker is very sensitive for alograft function after renal transplantation. Concentration of CysC was compared with that of creatinine. Decreased renal function was followed in 64 transplanted patients. Plasma CysC significantly correlated (r=0.625, p<0.001) with creatinine in healthy controls. In these patients the mean plasma creatinine and Cystatin C concentrations were: 81+/-13 mmol/L,0.90 +/-0.22 mg/L, respectively. Plasma Cystatin C and creatinine significantly correlated throughout the post-transplantation period (r=0.686, p<0.001), but we confirmed differences between kinetics of these parameters. In the first four days after transplantation the CysC concentration was normalized faster than creatinine concentration. Development of acute rejection episode ( between 5 and 7 days) showed high sensitivity and specificity of the changes of CysC compared with those of creatinine.

scholarly journals Reference intervals for serum cystatin C and serum creatinine in an adult sub-Saharan African population

2019 ◽  
Vol 19 (1) ◽  
Author(s):  
Bertille Elodie Edinga-Melenge ◽  
Adrienne Tchapmi Yakam ◽  
Jobert Richie Nansseu ◽  
Catherine Bilong ◽  
Suzanne Belinga ◽  
...  
Keyword(s):  
Serum Creatinine ◽  
Cystatin C ◽  
Reference Intervals ◽  
African Population ◽  
Serum Cystatin C ◽  
Serum Cystatin ◽  
Sub Saharan

scholarly journals The future is coming: promising perspectives regarding the use of machine learning in renal transplantation

2019 ◽  
Vol 41 (2) ◽  
pp. 284-287
Author(s):  
Pedro Guilherme Coelho Hannun ◽  
Luis Gustavo Modelli de Andrade
Keyword(s):  
Machine Learning ◽  
Prediction Models ◽  
Graft Function ◽  
Statistical Technique ◽  
Daily Routine ◽  
Learning Approaches ◽  
Post Transplantation ◽  
Chronic Allograft Rejection ◽  
Institutional Experience ◽  
Learning Principles

Abstract Introduction: The prediction of post transplantation outcomes is clinically important and involves several problems. The current prediction models based on standard statistics are very complex, difficult to validate and do not provide accurate prediction. Machine learning, a statistical technique that allows the computer to make future predictions using previous experiences, is beginning to be used in order to solve these issues. In the field of kidney transplantation, computational forecasting use has been reported in prediction of chronic allograft rejection, delayed graft function, and graft survival. This paper describes machine learning principles and steps to make a prediction and performs a brief analysis of the most recent applications of its application in literature. Discussion: There is compelling evidence that machine learning approaches based on donor and recipient data are better in providing improved prognosis of graft outcomes than traditional analysis. The immediate expectations that emerge from this new prediction modelling technique are that it will generate better clinical decisions based on dynamic and local practice data and optimize organ allocation as well as post transplantation care management. Despite the promising results, there is no substantial number of studies yet to determine feasibility of its application in a clinical setting. Conclusion: The way we deal with storage data in electronic health records will radically change in the coming years and machine learning will be part of clinical daily routine, whether to predict clinical outcomes or suggest diagnosis based on institutional experience.

scholarly journals B-cell activating factor BAFF as a novel alert marker for the immunological risk stratification after kidney transplantation

2021 ◽  
Author(s):  
Antonia Margarete Schuster ◽  
N. Miesgang ◽  
L. Steines ◽  
C. Bach ◽  
B. Banas ◽  
...  
Keyword(s):  
Kidney Transplantation ◽  
B Cell ◽  
Graft Function ◽  
Risk Profile ◽  
Kidney Transplant Recipients ◽  
Post Transplantation ◽  
Antibody Mediated Rejection ◽  
B Cell Activating Factor ◽  
Medium Risk ◽  
Patients At Risk

AbstractThe B cell activating factor BAFF has gained importance in the context of kidney transplantation due to its role in B cell survival. Studies have shown that BAFF correlates with an increased incidence of antibody-mediated rejection and the development of donor-specific antibodies. In this study, we analyzed a defined cohort of kidney transplant recipients who were treated with standardized immunosuppressive regimens according to their immunological risk profile. The aim was to add BAFF as an awareness marker in the course after transplantation to consider patient’s individual immunological risk profile. Included patients were transplanted between 2016 and 2018. Baseline data, graft function, the occurrence of rejection episodes, signs of microvascular infiltration, and DSA kinetics were recorded over 3 years. BAFF levels were determined 14 d, 3 and 12 months post transplantation. Although no difference in graft function could be observed, medium-risk patients showed a clear dynamic in their BAFF levels with low levels shortly after transplantation and an increase in values of 123% over the course of 1 year. Patients with high BAFF values were more susceptible to rejection, especially antibody-mediated rejection and displayed intensified microvascular inflammation; the combination of high BAFF + DSA puts patients at risk. The changing BAFF kinetics of the medium risk group as well as the increased occurrence of rejections at high BAFF values enables BAFF to be seen as an awareness factor. To compensate the changing immunological risk, a switch from a weaker induction therapy to an intensified maintenance therapy is required.

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