Predictive performance of glomerular filtration rate estimation equations based on cystatin C versus serum creatinine values in critically ill patients

2016 ◽  
Vol 73 (4) ◽  
pp. 206-215 ◽  
Author(s):  
Elisa Diego ◽  
Pedro Castro ◽  
Dolors Soy ◽  
Esteban Poch ◽  
Josep M. Nicolás
Keyword(s):  
Glomerular Filtration Rate ◽  
Serum Creatinine ◽  
Glomerular Filtration ◽  
Critically Ill ◽  
Cystatin C ◽  
Critically Ill Patients ◽  
Filtration Rate ◽  
Predictive Performance ◽  
Estimation Equations ◽  
Glomerular Filtration Rate Estimation

scholarly journals Comparison of Glomerular Filtration Rate Estimation from Serum Creatinine and Cystatin C in HNF1A-MODY and Other Types of Diabetes

2015 ◽  
Vol 2015 ◽  
pp. 1-5 ◽  
Author(s):  
Magdalena Szopa ◽  
Maria Kapusta ◽  
Bartlomiej Matejko ◽  
Tomasz Klupa ◽  
Teresa Koblik ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Glomerular Filtration Rate ◽  
Serum Creatinine ◽  
Glomerular Filtration ◽  
Cystatin C ◽  
Filtration Rate ◽  
Glomerular Filtration Rate Estimation ◽  
Measured Gfr

Introduction. We previously showed that in HNF1A-MODY the cystatin C-based glomerular filtration rate (GFR) estimate is higher than the creatinine-based estimate. Currently, we aimed to replicate this finding and verify its clinical significance. Methods. The study included 72 patients with HNF1A-MODY, 72 with GCK-MODY, 53 with type 1 diabetes (T1DM), 70 with type 2 diabetes (T2DM), and 65 controls. Serum creatinine and cystatin C levels were measured. GFR was calculated from creatinine and cystatin C using the CKD-EPI creatinine equation (eGRF-cr) and CKD-EPI cystatin C equation (eGFR-cys), respectively. Results. Cystatin C levels were lower (p<0.001) in the control (0.70±0.13 mg/L), HNF1A (0.75±0.21), and GCK (0.72±0.16 mg/L) groups in comparison to those with either T1DM (0.87±0.15 mg/L) or T2DM (0.9±0.23 mg/L). Moreover, eGFR-cys was higher than eGRF-cr in HNF1A-MODY, GCK-MODY, and the controls (p=0.004; p=0.003; p<0.0001). This corresponded to 8.9 mL/min/1.73 m2, 9.7 mL/min/1.73 m2, and 16.9 mL/min/1.73 m2 of difference. Additionally, T1DM patients had higher eGFR-cr than eGFR-cys (11.6 mL/min/1.73 m2; p=0.0004); no difference occurred in T2DM (p=0.91). Conclusions. We confirmed that eGFR-cys values in HNF1A-MODY patients are higher compared to eGFR-cr. Some other differences were also described in diabetic groups. However, none of them appears to be clinically relevant.

Creatinine versus cystatin C based glomerular filtration rate in critically ill patients

2019 ◽  
Vol 52 ◽  
pp. 136-140 ◽  
Author(s):  
Bo Ravn ◽  
Claire Rimes-Stigare ◽  
Max Bell ◽  
Magnus Hansson ◽  
Lars-Olof Hansson ◽  
...  
Keyword(s):  
Glomerular Filtration Rate ◽  
Glomerular Filtration ◽  
Critically Ill ◽  
Cystatin C ◽  
Critically Ill Patients ◽  
Filtration Rate

scholarly journals Plasma Cystatin C and Estimates of Glomerular Filtration Rate Using Cystatin C Independently Diagnose Acute Kidney Injury in Critically Ill Patients with Sepsis

2017 ◽  
Vol 16 (1) ◽  
Author(s):  
Azrina Md Ralib ◽  
Iqbalmunawwir Ab Rashid ◽  
Nur Aisyah Ishak ◽  
Suhaila Nanyan ◽  
Nur Fariza Ramly ◽  
...  
Keyword(s):  
Acute Kidney Injury ◽  
Glomerular Filtration Rate ◽  
Glomerular Filtration ◽  
Critically Ill ◽  
Cystatin C ◽  
Clinical Setting ◽  
Critically Ill Patients ◽  
Filtration Rate ◽  
Kidney Injury ◽  
The Ideal

Introduction: Plasma Cystatin C (CysC) is as an early functional marker for acute kidney injury. Estimates of glomerular filtration rate using CysC (eGFRCysC) has been used in some clinical setting. We evaluated the utility of CysC and eGFRCysC in diagnosing acute kidney injury (AKI) and predicting death in critically ill patients with sepsis.  Materials and method: This is an interim analysis of single centre, prospective observational study of critically ill patients. Inclusion criteria were patients older than 18 years old with sepsis and procalcitonin > 0.5ng/ml. Plasma creatinine and CysC were measured on admission, and eGFRCysC. AKI was defined based on the plasma creatinine criteria of the KDIGO guideline.  Results: Thirty one patients were recruited so far, of which 13 (41.9%) had AKI and six died. CysC were higher in patients with AKI versus No AKI (p<0.001), and corresponding eGFRCysC were lower (p=0.006). CysC and eGFRCysC on ICU admission diagnosed AKI with an AUC of 0.88(0.72 to 1.00), and 0.79 (0.62 to 0.96), respectively. Both did not predict death (AUC 0.59 (0.31 to 0.87) and 0.59 (0.31 to 0.86), respectively). After adjusting for age and SOFA score, both CysC and eGFRCysC independently diagnosed AKI (OR 13 (1.5 to 115) and 1.03 (1.01 to 1.06), respectively). The ideal cut-off point for diagnosing AKI for CysC is 1.5 mg/dl (84% sensitivity and 89% specificity) and for eGFRCysC as 77 ml/min (72% sensitivity and 84% specificity).  Conclusion: Plasma CysC and its estimated GFR independently diagnosed AKI in critically ill patients with sepsis. We suggest the ideal cut-off points of 1.5 mg/dl and 77 ml/min which can be used in the clinical setting in this cohort of patients.

scholarly journals Divergence between serum creatine and cystatin C in estimating glomerular filtration rate of critically ill COVID-19 patients

Renal Failure ◽  
2021 ◽  
Vol 43 (1) ◽  
pp. 1104-1114
Author(s):  
Yanan Liu ◽  
Peng Xia ◽  
Wei Cao ◽  
Zhengyin Liu ◽  
Jie Ma ◽  
...  
Keyword(s):  
Glomerular Filtration Rate ◽  
Glomerular Filtration ◽  
Critically Ill ◽  
Cystatin C ◽  
Filtration Rate

scholarly journals Serum NGAL, BNP, PTH, and albumin do not improve glomerular filtration rate estimating formulas in children

2021 ◽  
Author(s):  
Julie Mouron-Hryciuk ◽  
François Cachat ◽  
Paloma Parvex ◽  
Thomas Perneger ◽  
Hassib Chehade
Keyword(s):  
Glomerular Filtration Rate ◽  
Parathyroid Hormone ◽  
Serum Creatinine ◽  
Brain Natriuretic Peptide ◽  
Glomerular Filtration ◽  
Natriuretic Peptide ◽  
Cystatin C ◽  
Filtration Rate ◽  
Neutrophil Gelatinase Associated Lipocalin ◽  
Neutrophil Gelatinase

AbstractGlomerular filtration rate (GFR) is difficult to measure, and estimating formulas are notorious for lacking precision. This study aims to assess if the inclusion of additional biomarkers improves the performance of eGFR formulas. A hundred and sixteen children with renal diseases were enrolled. Data for age, weight, height, inulin clearance (iGFR), serum creatinine, cystatin C, neutrophil gelatinase-associated lipocalin (NGAL), parathyroid hormone (PTH), albumin, and brain natriuretic peptide (BNP) were collected. These variables were added to the revised and combined (serum creatinine and cystatin C) Schwartz formulas, and the quadratic and combined quadratic formulas. We calculated the adjusted r-square (r2) in relation to iGFR and tested the improvement in variance explained by means of the likelihood ratio test. The combined Schwartz and the combined quadratic formulas yielded best results with an r2 of 0.676 and 0.730, respectively. The addition of BNP and PTH to the combined Schwartz and quadratic formulas improved the variance slightly. NGAL and albumin failed to improve the prediction of GFR further. These study results also confirm that the addition of cystatin C improves the performance of estimating GFR formulas, in particular the Schwartz formula.Conclusion: The addition of serum NGAL, BNP, PTH, and albumin to the combined Schwartz and quadratic formulas for estimating GFR did not improve GFR prediction in our population. What is Known:• Estimating glomerular filtration rate (GFR) formulas include serum creatinine and/or cystatin C but lack precision when compared to measured GFR.• The serum concentrations of some biological parameters such as neutrophil gelatinase-associated lipocalin (NGAL), parathyroid hormone (PTH), albumin, and brain natriuretic peptide (BNP) vary with the level of renal function. What is New:• The addition of BNP and PTH to the combined quadratic formula improved its performance only slightly. NGAL and albumin failed to improve the prediction of GFR further.

scholarly journals The Impact of Interlaboratory Differences in Cystatin C Assay Measurement on Glomerular Filtration Rate Estimation

2011 ◽  
Vol 6 (9) ◽  
pp. 2150-2156 ◽  
Author(s):  
Christine A. White ◽  
Andrew D. Rule ◽  
Christine P. Collier ◽  
Ayub Akbari ◽  
John C. Lieske ◽  
...  
Keyword(s):  
Glomerular Filtration Rate ◽  
Glomerular Filtration ◽  
Cystatin C ◽  
Filtration Rate ◽  
Rate Estimation ◽  
Glomerular Filtration Rate Estimation ◽  
The Impact
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