GFR-estimation by serum creatinine during glucocorticosteroid therapy

2018 ◽  
Vol 22 (5) ◽  
pp. 1163-1166 ◽  
Author(s):  
Emil den Bakker ◽  
Berend Koene ◽  
Joanna A. E. van Wijk ◽  
Isabelle Hubeek ◽  
Reinoud Gemke ◽  
...  
Keyword(s):  
Serum Creatinine ◽  
Gfr Estimation

scholarly journals Assessing glomerular filtration rate in patients with severe heart failure: comparison between creatinine-based formulas

2012 ◽  
Vol 130 (5) ◽  
pp. 289-293 ◽  
Author(s):  
Alexandre Libório ◽  
Russian Uchoa ◽  
João Neto ◽  
Juan Valdivia ◽  
Elizabeth De Francesco Daher ◽  
...  
Keyword(s):  
Heart Failure ◽  
Renal Function ◽  
Glomerular Filtration Rate ◽  
Serum Creatinine ◽  
Glomerular Filtration ◽  
Filtration Rate ◽  
Severe Heart Failure ◽  
Creatinine Concentration ◽  
Cross Sectional ◽  
Gfr Estimation

CONTEXT AND OBJECTIVE: Severe heart failure is highly associated with chronic kidney disease (CKD). Serum creatinine is a poor indicator of renal function and glomerular filtration rate (GFR) estimation is an accessible method for assessing renal function. The most popular formulas for GFR estimation are the Cockcroft-Gault (CG), the four-variable Simplified Modification of Diet in Renal Disease (sMDRD) and the recently introduced CKD-Epidemiology Collaboration (CKD-EPI). The objective of the study was to analyze the correlation between these three equations for estimating GFR in patients with severe heart failure. DESIGN AND SETTING: Cross-sectional observational study at a university reference center. METHODS: GFR was estimated in patients with severe heart failure who were awaiting heart transplantation, using the CG, sMDRD and CKD-EPI formulas. These estimates were analyzed using Pearson's correlation and Bland-Altman analysis. RESULTS: This study included 157 patients, of whom 32 (20.3%) were female. Normal serum creatinine concentration was observed in 21.6%. The mean GFR according to CG, sMDRD and CKD-EPI was 70.1 ± 29.5, 70.7 ± 37.5 and 73.7 ± 30.1 ml/min/1.73 m²; P > 0.05. Pearson's coefficient demonstrated good correlations between all the formulas, as did Bland-Altman. However, the patients presented GFR < 60 ml/min more frequently with the sMDRD formula (54.1% versus 40.2% for CG and 43.2% for CKD-EPI; P = 0.02). CONCLUSION: Despite the good correlation and agreement between the three methods, the sMDRD formula classified more patients as presenting GFR less than 60 ml/min.

scholarly journals Serum Myo-Inositol, Dimethyl Sulfone, and Valine in Combination with Creatinine Allow Accurate Assessment of Renal Insufficiency—A Proof of Concept

Diagnostics ◽  
2021 ◽  
Vol 11 (2) ◽  
pp. 234
Author(s):  
Jochen Ehrich ◽  
Laurence Dubourg ◽  
Sverker Hansson ◽  
Lars Pape ◽  
Tobias Steinle ◽  
...  
Keyword(s):  
Serum Creatinine ◽  
Renal Dysfunction ◽  
Pearson Correlation ◽  
Initial Step ◽  
Resonance Spectroscopy ◽  
Metabolic Dysfunction ◽  
Dimethyl Sulfone ◽  
Training Samples ◽  
Analytical Step ◽  
Gfr Estimation

Evaluation of renal dysfunction includes estimation of glomerular filtration rate (eGFR) as the initial step and subsequent laboratory testing. We hypothesized that combined analysis of serum creatinine, myo-inositol, dimethyl sulfone, and valine would allow both assessment of renal dysfunction and precise GFR estimation. Bio-banked sera were analyzed using nuclear magnetic resonance spectroscopy (NMR). The metabolites were combined into a metabolite constellation (GFRNMR) using n = 95 training samples and tested in n = 189 independent samples. Tracer-measured GFR (mGFR) served as a reference. GFRNMR was compared to eGFR based on serum creatinine (eGFRCrea and eGFREKFC), cystatin C (eGFRCys-C), and their combination (eGFRCrea-Cys-C) when available. The renal biomarkers provided insights into individual renal and metabolic dysfunction profiles in selected mGFR-matched patients with otherwise homogenous clinical etiology. GFRNMR correlated better with mGFR (Pearson correlation coefficient r = 0.84 vs. 0.79 and 0.80). Overall percentages of eGFR values within 30% of mGFR for GFRNMR matched or exceeded those for eGFRCrea and eGFREKFC (81% vs. 64% and 74%), eGFRCys-C (81% vs. 72%), and eGFRCrea-Cys-C (81% vs. 81%). GFRNMR was independent of patients’ age and sex. The metabolite-based NMR approach combined metabolic characterization of renal dysfunction with precise GFR estimation in pediatric and adult patients in a single analytical step.

Implications of serum creatinine measurements on GFR estimation and vancomycin dosing in children

2014 ◽  
Vol 54 (7) ◽  
pp. 785-791 ◽  
Author(s):  
Gal Neuman ◽  
Irena Nulman ◽  
Khosrow Adeli ◽  
Gideon Koren ◽  
David A Colantonio ◽  
...  
Keyword(s):  
Serum Creatinine ◽  
Gfr Estimation

scholarly journals Kidney Disease, Race, and GFR Estimation

2020 ◽  
Vol 15 (8) ◽  
pp. 1203-1212 ◽  
Author(s):  
Andrew S. Levey ◽  
Silvia M. Titan ◽  
Neil R. Powe ◽  
Josef Coresh ◽  
Lesley A. Inker
Keyword(s):  
Kidney Disease ◽  
Serum Creatinine ◽  
Health Care Providers ◽  
Unintended Consequences ◽  
Confirmatory Test ◽  
Practice Research ◽  
Future Research ◽  
Care Providers ◽  
Gfr Estimation ◽  
Measured Gfr

Assessment of GFR is central to clinical practice, research, and public health. Current Kidney Disease Improving Global Outcomes guidelines recommend measurement of serum creatinine to estimate GFR as the initial step in GFR evaluation. Serum creatinine is influenced by creatinine metabolism as well as GFR; hence, all equations to estimate GFR from serum creatinine include surrogates for muscle mass, such as age, sex, race, height, or weight. The guideline-recommended equation in adults (the 2009 Chronic Kidney Disease Epidemiology Collaboration creatinine equation) includes a term for race (specified as black versus nonblack), which improves the accuracy of GFR estimation by accounting for differences in non-GFR determinants of serum creatinine by race in the study populations used to develop the equation. In that study, blacks had a 16% higher average measured GFR compared with nonblacks with the same age, sex, and serum creatinine. The reasons for this difference are only partly understood, and the use of race in GFR estimation has limitations. Some have proposed eliminating the race coefficient, but this would induce a systematic underestimation of measured GFR in blacks, with potential unintended consequences at the individual and population levels. We propose a more cautious approach that maintains and improves accuracy of GFR estimates and avoids disadvantaging any racial group. We suggest full disclosure of use of race in GFR estimation, accommodation of those who decline to identify their race, and shared decision making between health care providers and patients. We also suggest mindful use of cystatin C as a confirmatory test as well as clearance measurements. It would be preferable to avoid specification of race in GFR estimation if there was a superior, evidence-based substitute. The goal of future research should be to develop more accurate methods for GFR estimation that do not require use of race or other demographic characteristics.

Assessment of Acute Kidney Injury in Patients Undergoing Elective Coronary Angiography and Percutaneous Coronary Intervention

2012 ◽  
Vol 5 (1) ◽  
pp. 37-43
Author(s):  
ABMM Alam ◽  
M Moniruzzaman ◽  
MB Alam ◽  
N Islam ◽  
F Khatoon ◽  
...  
Keyword(s):  
Serum Creatinine ◽  
Contrast Media ◽  
Creatinine Level ◽  
Ace Inhibitor ◽  
Kidney Injury ◽  
Coronary Intervention ◽  
Group I ◽  
Percutaneous Coronary ◽  
The Mean ◽  
Group Ii

Background: CIN has gained increased attention in the clinical setting, particularly during cardiac intervention but also in many other radiological procedures in which iodinated contrast media are used. There is at present good clinical evidence from well-controlled randomized studies that CIN is a common cause of acute renal dysfunction.Methodology: This was a prospective study conducted among the patients who underwent coronary angiography and percutaneous coronary intervention in the Department of Cardiology, Dhaka Medical College Hospital during January 2010 to December 2010. A total of 111 patients age range from 25 to 75 years were included in the study. Serum creatinine level at baseline and at the end of 48 hours was done in all these patients. Study population was divided into two groups according to development of acute kidney injury (AKI). Group-I = AKI, Group II = Not developed AKI. Results: AKI developed 11.7% of the study patient. DM and Preexisting renal insufficiency were significantly higher in group I patients. HTN was (61.5% Vs 44.9%) higher in group I but not significantly. History of ACE inhibitor/ARB, NSAID intake and LVEF <40% were significantly higher in group I patients. The mean±SD volume of CM (Contrast Media) were 156.9±44.8 ml and 115.4±30.0 ml in group I and group II respectively, which was significant. The mean±SD of serum creatinine after 48-72 hours of CAG/PCI was 1.4±0.37 mg/dl and 1.1±0.2 mg/dl in group I and group II respectively. The serum creatinine level increased significantly (p<0.05) after 48-72 hours of CAG/PCI in group I. In group II, S. creatinine level increased but not significant (p>0.05). Impaired renal function was found 76.9% and 2.0% in group I and group II respectively. DM, HTN, preexisting renal insufficiency, ACE inhibitor/ARB, NSAIDs, contrast volume (>150 ml), eGFR (<60 ml/min/ 1.73m2) and LVEF (<40%) are significantly (p0.05) associated for CIN development.Conclusion: CIN is an iatrogenic but preventable disorder results from the administration of contract media. Although rare in the general population, CIN occurs frequently in patients with underlying renal dysfunction and diabetes. In patients with pre angiographic normal renal function, the prevalence is low but in pre-existing renal impairment it may pose a serious threat. Thus risk factors are synergistic in their ability to predispose to the development of CIN. A careful risk-benefit analysis must always be performed prior to the administration of contrast media to patients at risk for CIN. DOI: http://dx.doi.org/10.3329/cardio.v5i1.12227 Cardiovasc. j. 2012; 5(1): 37-43

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