scholarly journals Glomerular Filtration Rate Estimation using Cystatin C Levels Identifies Subclinical Renal Dysfunction in Patients with Rheumatoid Arthritis

Author(s):  
Makoto Fukuda ◽  
Naoki Sawa ◽  
Hiroki Mizuno ◽  
Daisuke Ikuma ◽  
Rikako Hiramatsu ◽  
...  

Abstract BackgroundMethotrexate is widely used to treat rheumatoid arthritis (RA) but can cause very serious side effects, including pancytopenia, in patients with renal impairment who have an estimated glomerular filtration rate (GFR) of <60 ml/min/1.73m2. In patients with low muscle volume such as elderly patients, GFR can be measured as higher value when calculated using serum creatinine [eGFR(cre)], so more accurate estimation using cystatin C [eGFR(cys)] is preferred.MethodWe evaluated 173 patients with RA who visited Toranomon Hospital in 2019 for factors that may contribute to the difference between eGFR(cre) and eGFR(cys) [eGFR(cre−cys)]. Activities of daily living (ADL) (walking, 1 point; using a cane, 2 points; using a wheelchair, 3 points) was added as a parameter.ResultsIn univariate analysis using Spearman's rank correlation coefficient, eGFR(cre−cys) was negatively correlated with body weight, height, body surface area (BSA), subcutaneous fat area (SFA)/BSA, albumin, and creatinine kinase, and positively correlated with age, erythrocyte sedimentation rate (ESR), and urinary protein. eGFR(cre−cys) was higher in patients who used a cane or wheelchair than those who could walk unaided. Multiple regression analysis showed that ADL and age contribute significantly to eGFR(cre−cys). ConclusionPatients using a cane or wheelchair are susceptible to the higher eGFR(cre−cys) values and overestimation of eGFR(cre), resulting in failed detect subclinical renal dysfunction. For such patients, eGFR(cys) should be evaluated to prevent serious side effects of methotrexate that are easily developed on patients with renal dysfunction.

2020 ◽  
pp. 44-48
Author(s):  
V. A. Aleksandrov ◽  
L. N. Shilova ◽  
A. V. Aleksandrov

The development of renal dysfunction in patients with rheumatoid arthritis (RA) is due to the presence and severity of autoimmune disorders, chronic systemic inflammation, a multiplicity of comorbid conditions, and pharmacotherapy features. The most important parameter that describes the general condition of the kidneys is glomerular filtration rate (GFR). This review presents the data on the possibilities of modern methods for determining estimated GFR (e-GFR) and the specificity of their use in various clinical situations that accompany the course of RA. For the initial assessment of GFR in patients with RA it is advisable to use the measurement of e-GFR based on serum creatinine concentration using the CKD-EPI equation (2009) (with or without indexing by body surface area). In cases where the e-GFR equations are not reliable enough or the results of this test are insufficient for clinical decision making, the serum cystatin C level should be measured and the combined GFR calculation based on creatinine and cystatin C should be used.


Urology ◽  
2017 ◽  
Vol 100 ◽  
pp. 213-217 ◽  
Author(s):  
Pankaj P. Dangle ◽  
Omar Ayyash ◽  
Audry Kang ◽  
Carlton Bates ◽  
Janelle Fox ◽  
...  

2020 ◽  
Vol 31 (6) ◽  
pp. 1320
Author(s):  
RemiGeorge Thomas ◽  
Balaraman Velayudham ◽  
C Vasudevan ◽  
RP Senthilkumar ◽  
Thirumalvalavan ◽  
...  

2014 ◽  
Vol 111 (12) ◽  
pp. 2184-2189 ◽  
Author(s):  
Desiree Luis ◽  
Xiaoyan Huang ◽  
Per Sjögren ◽  
Ulf Risérus ◽  
Johan Ärnlöv ◽  
...  

Energy intake and renal function decrease with age. In patients with chronic kidney disease (CKD), spontaneous food intake decreases in parallel with the loss of renal function. The objective of the present study was to evaluate a possible relationship between renal dysfunction and energy intake in elderly community-dwelling men. A cross-sectional study including 1087 men aged 70 years from the Uppsala Longitudinal Study of Adult Men (ULSAM) community-based cohort was carried out. Dietary intake was assessed using 7 d food records, and glomerular filtration rate was estimated from serum cystatin C concentrations. Energy intake was normalised by ideal body weight, and macronutrient intake was energy-adjusted. The median normalised daily energy intake was 105 (interquartile range 88–124) kJ, and directly correlated with estimated glomerular filtration rate (eGFR) as determined by univariate analysis. Across the decreasing quartiles of eGFR, a significant trend of decreasing normalised energy intake was observed (P =0·01). A multivariable regression model including lifestyle factors and co-morbidities was used for predicting total energy intake. In this model, regular physical activity (standardised β = 0·160; P =0·008), smoking (standardised β = − 0·081; P =0·008), hypertension (standardised β = − 0·097; P =0·002), hyperlipidaemia (standardised β = − 0·064; P =0·037) and eGFR (per sd increase, standardised β = 0·064; P =0·04) were found to be independent predictors of energy intake. Individuals with manifest CKD (eGFR < 60 ml/min per 1·73 m2) were more likely to have lower energy intake than those without. In conclusion, there was a direct and independent correlation between renal function and energy intake in a population-based cohort of elderly men. We speculate on a possible link between renal dysfunction and malnutrition in the elderly.


2019 ◽  
Vol 65 (3) ◽  
pp. 406-418 ◽  
Author(s):  
Tiffany A Freed ◽  
Josef Coresh ◽  
Lesley A Inker ◽  
Douglas R Toal ◽  
Regis Perichon ◽  
...  

Abstract BACKGROUND Clinical practice guidelines recommend estimation of glomerular filtration rate (eGFR) using validated equations based on serum creatinine (eGFRcr), cystatin C (eGFRcys), or both (eGFRcr-cys). However, when compared with the measured GFR (mGFR), only eGFRcr-cys meets recommended performance standards. Our goal was to develop a more accurate eGFR method using a panel of metabolites without creatinine, cystatin C, or demographic variables. METHODS An ultra-performance liquid chromatography–tandem mass spectrometry assay for acetylthreonine, phenylacetylglutamine, pseudouridine, and tryptophan was developed, and a 20-day, multiinstrument analytical validation was conducted. The assay was tested in 2424 participants with mGFR data from 4 independent research studies. A new GFR equation (eGFRmet) was developed in a random subset (n = 1615) and evaluated in the remaining participants (n = 809). Performance was assessed as the frequency of large errors [estimates that differed from mGFR by at least 30% (1 − P30); goal &lt;10%]. RESULTS The assay had a mean imprecision (≤10% intraassay, ≤6.9% interassay), linearity over the quantitative range (r2 &gt; 0.98), and analyte recovery (98.5%–113%). There was no carryover, no interferences observed, and analyte stability was established. In addition, 1 − P30 in the validation set for eGFRmet (10.0%) was more accurate than eGFRcr (13.1%) and eGFRcys (12.0%) but not eGFRcr-cys (8.7%). Combining metabolites, creatinine, cystatin C, and demographics led to the most accurate equation (7.0%). Neither equation had substantial variation among population subgroups. CONCLUSIONS The new eGFRmet equation could serve as a confirmatory test for GFR estimation.


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