scholarly journals Renal function associates with energy intake in elderly community-dwelling men

2014 ◽  
Vol 111 (12) ◽  
pp. 2184-2189 ◽  
Author(s):  
Desiree Luis ◽  
Xiaoyan Huang ◽  
Per Sjögren ◽  
Ulf Risérus ◽  
Johan Ärnlöv ◽  
...  
Keyword(s):  
Renal Function ◽  
Glomerular Filtration Rate ◽  
Renal Dysfunction ◽  
Glomerular Filtration ◽  
Energy Intake ◽  
Filtration Rate ◽  
Univariate Analysis ◽  
Community Dwelling ◽  
Serum Cystatin C ◽  
Cross Sectional

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.

STUDY OF RADIATION CHARACTERISTICS THE RENAL FUNCTION IN PATIENTS WITH TYPE 2 DIABETES

2014 ◽  
pp. 73-77
Author(s):  
Van Chuong Nguyen ◽  
Thi Kim Anh Nguyen
Keyword(s):  
Type 2 Diabetes ◽  
Renal Function ◽  
Glomerular Filtration Rate ◽  
Glomerular Filtration ◽  
Filtration Rate ◽  
Disease Duration ◽  
Left Kidney ◽  
Cross Sectional ◽  
The Right

Background: A Research glomerular filtration rate (GFR) of 61 patients with type 2 diabetes mellitus with renal scanning 99mTc-DTPA glomerular filtration rate at the hospital 175. Objective: (1) To study characteristics of imaging of renal function. (2) Understanding the relationship between GFR with blood sugar, HbA1c, blood pressure and albuminuria in patients with type 2 diabetes. Methods: Descriptive, prospective, cross-sectional study. Clinical examination, Clinical tests and 99mTc-DTPA GFR gamma - camera renography for patients. Result: GFR of the study group was 75,4 ± 22,3 ml/phut/1,73m2, the left kidney was 35,0 ± 13,0 is lower than the right kidney and 39,8 ± 11,9; p <0,01. There is no correlation between GFR with blood glucose and HbA1c, the risk of reduced GFR in hypertensive group associated is OR = 6,5 with p<0,01; albuminuria (+) is OR = 4,2 with p <0,01; and disease duration > 10 years is OR = 3,5 with p <0.01. Conclusion: GFR of the left kidneys is lower than the right kidney; correlation decreased GFR associated with hypertension, albuminuria and disease duration. Keywords: GFR, diabetes, albuminuria

scholarly journals Impaired Glomerular Filtration Rate in Type 2 Diabetes Mellitus Subjects: A Nationwide Cross-Sectional Study in Thailand

2020 ◽  
Vol 2020 ◽  
pp. 1-9
Author(s):  
Naowanit Nata ◽  
Ram Rangsin ◽  
Ouppatham Supasyndh ◽  
Bancha Satirapoj
Keyword(s):  
Risk Factors ◽  
Renal Function ◽  
Glomerular Filtration Rate ◽  
Glomerular Filtration ◽  
Impaired Renal Function ◽  
Filtration Rate ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Cross Sectional

Background. Type 2 diabetic mellitus (T2DM) patients with impaired renal function have a higher risk of mortality, and often progress to end-stage renal disease. The study aims to determine the prevalence of kidney disease and investigate the relationship between various factors and impaired renal function in a large population of patients with T2DM. Methods. We conducted a cross-sectional study among 30,377 patients from a nationwide diabetes study involving 602 Thai hospitals. Impaired glomerular filtration rate (GFR) was defined as <60 mL/min per 1.73 m2. Multivariate logistic regression was used to determine the association between standard risk factors and impaired GFR. Results. The prevalence of impaired GFR in a T2DM population was 39.2%. After adjusting for multiple risk factors, advanced age (adjusted OR 11.69 (95%CI=3.13 to 43.61)), macroalbuminuria (adjusted OR 3.54 (95%CI=1.50 to 8.40)), high serum uric acid (adjusted OR 2.06 (95%CI=1.73 to 2.46)), systolic BP 130-139 mmHg (adjusted OR 3.21 (95%CI=1.30 to 7.96)), hemoglobinA1C (HA1C) <6% (adjusted OR 3.71 (95%CI=1.65 to 8.32)), and HA1C >7% (adjusted OR 2.53 (95%CI=1.38 to 4.63)) were found to be associated with a significantly increased risk of impaired GFR among T2DM patients. Conclusion. Almost 40% of patients with T2DM in a nationwide cross-sectional study in Thailand had impaired GFR. Advanced age, albuminuria, hyperuricemia, hypertension, HA1C <6%, and HA1C >7% were independently associated with increased prevalence of impaired GFR.

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 Estimation of Glomerular Filtration Rate Based on Serum Cystatin C versus Creatinine in a Uruguayan Population

2014 ◽  
Vol 2014 ◽  
pp. 1-9 ◽  
Author(s):  
Inés Lujambio ◽  
Mariana Sottolano ◽  
Leonella Luzardo ◽  
Sebastián Robaina ◽  
Nadia Krul ◽  
...  
Keyword(s):  
Renal Function ◽  
Glomerular Filtration Rate ◽  
Glomerular Filtration ◽  
Cystatin C ◽  
Filtration Rate ◽  
Kappa Statistic ◽  
Serum Cystatin C ◽  
Cohen’S Kappa ◽  
Serum Cystatin ◽  
Cohen's Kappa

Background. Estimation of glomerular filtration rate (eGFR) from biomarkers has evolved and multiple equations are available to estimate renal function at bedside.Methods. In a random sample of 119 Uruguayans (54.5% women; 56.2 years (mean)), we used Bland and Altman’s method and Cohen’s kappa statistic to assess concordance on a continuous or categorical (eGFR < 60versus≥60 mL/min/1.73 m2) scale between eGFRcys(reference) and eGFR derived from serum creatinine according to the Modification of Diet in Renal Disease (eGFRmdrd) or the Chronic Kidney Disease Epidemiology Collaboration equations (eGFRepi) or from both serum cystatin C and creatinine (eGFRmix).Results. In all participants, eGFRmdrd, eGFRepi, and eGFRmixwere, respectively, 9.7, 11.5, and 5.6 mL/min/1.73 m2higher (P<0.0001) than eGFRcys. The prevalence of eGFR <60 mL/min/1.73 m2was the highest for eGFRcys(21.8%), intermediate for eGFRmix(11.8%), and the lowest for eGFRmdrd(5.9%) and eGFRepi(3.4%). Using eGFRcysas reference, we found only fair agreement with the equations based on creatinine (Cohen’s kappa statistic 0.15 to 0.23).Conclusion. Using different equations we reached clinically significant differences in the estimation of renal function. eGFRcysprovides lower estimates, resulting in higher prevalence of eGFR <60 mL/min/1.73 m2.

scholarly journals Serum cystatin C unmasks renal dysfunction in cirrhosis and performs better in estimation of glomerular filtration rate

2020 ◽  
Vol 31 (6) ◽  
pp. 1320
Author(s):  
RemiGeorge Thomas ◽  
Balaraman Velayudham ◽  
C Vasudevan ◽  
RP Senthilkumar ◽  
Thirumalvalavan ◽  
...  
Keyword(s):  
Glomerular Filtration Rate ◽  
Renal Dysfunction ◽  
Glomerular Filtration ◽  
Cystatin C ◽  
Filtration Rate ◽  
Serum Cystatin C ◽  
Serum Cystatin
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