scholarly journals PRM16 - AN ESTIMATED GLOMERULAR FILTRATION RATE (EGFR) LEVEL PREDICTION IN POPULATION-BASED ADMINISTRATIVE DATABASES IN THE ABSENCE OF RECORDED LABORATORY VALUES

2018 ◽  
Vol 21 ◽  
pp. S358
Author(s):  
F Kleinjung ◽  
T Vaitsiakhovich ◽  
A Gedranovich ◽  
V Hedranovich ◽  
S Kloss ◽  
...  
2018 ◽  
Vol 29 (6) ◽  
pp. 355-362 ◽  
Author(s):  
Sheng-Pyng Chen ◽  
Chi-Rong Li ◽  
Huan-Cheng Chang ◽  
Yu-Ling Li ◽  
Hsiang-Chu Pai

The purpose of this study was to explore the relationship between the metabolic syndrome severity Z-score and kidney function by gender. We also examined the estimated glomerular filtration rate in relation to other known risk factors. The study used was a population-based prospective longitudinal research design. A total of 4,838 participants (2,683 females and 2,155 males) included individuals aged >30 years who were undergoing a health examination from 2006 to 2014 in Pingzhen City, Taiwan. In the initial generalized estimated equation model analysis, which included the covariates of age of first visit, period between the first and current visit, and metabolic syndrome severity Z-score, the results indicated that the interaction between age and metabolic syndrome severity Z-score is significantly related to the estimated glomerular filtration rate for males ( p = .040). For females, the interaction between age and metabolic syndrome severity Z-score was not significant, but a higher metabolic syndrome severity Z-score was significantly associated with lower estimated glomerular filtration rate ( p = .001). After controlling for the confounders, unhealthy behaviors, and comorbidities, the metabolic syndrome severity Z-score was still a negative predictor of estimated glomerular filtration rate in both the male ( p = .005) and female ( p = .023) models.


2016 ◽  
Vol 103 (5) ◽  
pp. 1370-1377 ◽  
Author(s):  
Gerrie-Cor M Herber-Gast ◽  
Hanneke van Essen ◽  
WM Monique Verschuren ◽  
Coen DA Stehouwer ◽  
Ron T Gansevoort ◽  
...  

2019 ◽  
Vol 75 (3) ◽  
pp. 168-178 ◽  
Author(s):  
Yun Qiu ◽  
Qi Zhao ◽  
Yian Gu ◽  
Na Wang ◽  
Yuting Yu ◽  
...  

Background/Aims: Metabolic syndrome (MetS) and its metabolic components, the common risk factors, may be involved in the development and progression of decreased estimated glomerular filtration rate (eGFR). The aim of this study was to examine the association of MetS and its metabolic components with eGFR status and severity among Chinese adults. Methods: The population-based, cross-sectional study recruited a total of 33,300 Chinese adults (aged ≥18 years) from 4 study community sites in Songjiang District, Shanghai, between June 2016 and December 2017. Decreased eGFR was defined as a value of eGFR below 60 mL/min/1.73 m2. Weighted multiple logistic regression models were used to examine the association of MetS and its components with eGFR status and severity. Results: After adjusting for potential confounders, subjects with MetS had an increased risk of decreased eGFR with an adjusted OR of 1.76 (95% CI 1.53–2.01), and subjects with increasing numbers of MetS components had a gradually increased risk for decreased eGFR (p trend <0.001). The multivariable-adjusted ORs (95% CI) of decreased eGFR were 1.66 (1.44–1.93) for abdominal obesity, 1.37 (1.18–1.60) for elevated triglycerides, 1.13 (0.96–1.33) for reduced high-density lipoprotein cholesterol, 0.84 (0.72–0.98) for elevated fasting glucose, and 1.92 (1.57–2.35) for elevated blood pressure (BP). Furthermore, these associations remained in most of the subgroups analyses. Significant associations between elevated BP and the risks of mildly, moderately, and severely decreased eGFR were also found. Conclusions: MetS was independently associated with an increased risk of decreased eGFR, and individual components of MetS each play a different role in decreased eGFR. Elevated BP may be an important risk factor for the progression of renal dysfunction or even chronic kidney disease.


2011 ◽  
Vol 164 (2) ◽  
pp. 316
Author(s):  
Bjørn Olav Åsvold ◽  
Trine Bjøro ◽  
Lars J Vatten

The journal and the authors apologise for an error in this article published in the European Journal of Endocrinology (2011) 164 101–105. The caption to Table 4 on page 104 was wrongly printed and the correct caption and table is printed in full below.Table 4Geometric mean eGFR (ml/min per 1.73 m2) by categories of thyroid function and age, adjusted for sex, age and smoking.Age <70 years (n=22 071)Age ≥70 years (n=7409)eGFR95% CIeGFR95% CIHyperthyroidismOvert120.5113.5128.087.078.996.0Subclinical91.789.993.476.473.479.5TSH (mU/l)0.50–1.489.989.690.375.374.476.21.5–2.488.588.188.973.572.674.42.5–3.587.086.387.772.671.473.8HypothyroidismSubclinical86.585.587.470.769.372.2Overt83.380.586.468.363.373.6


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