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1.
Sci Rep ; 9(1): 7396, 2019 May 09.
Article in English | MEDLINE | ID: mdl-31068671

ABSTRACT

A correction to this article has been published and is linked from the HTML and PDF versions of this paper. The error has not been fixed in the paper.

2.
Sci Rep ; 7(1): 12656, 2017 10 04.
Article in English | MEDLINE | ID: mdl-28978997

ABSTRACT

Despite intense research the optimal endogenous biomarker for glomerular filtration rate (GFR) estimation has not been identified yet. We analyzed if ß-trace protein (BTP) improved GFR estimation in elderly. 566 participants aged 70+ from the population-based Berlin Initiative Study were included in a cross-sectional validation study. BTP, standardized creatinine and cystatin C were measured in participants with iohexol clearance measurement as gold standard method for measured GFR (mGFR). In a double logarithmic linear model prediction of mGFR by BTP was assessed. Analyses with BTP only and combined with creatinine and cystatin C were performed. Additionally, performance of GFR estimating equations was compared to mGFR. We found that the combination of all three biomarkers showed the best prediction of mGFR (r2 = 0.83), whereat the combination of creatinine and cystatin C provided only minimally diverging results (r2 = 0.82). Single usage of BTP showed worst prediction (r2 = 0.67) within models with only one biomarker. Subgroup analyses (arterial hypertension, diabetes, body mass index ≤23 and >30) demonstrated a slight additional benefit of including BTP into the prediction model for diabetic, hypertensive and lean patients. Among BTP-containing GFR equations the Inker BTP-based equation showed superior performance. Especially the use of cystatin C renders the addition of BTP unnecessary.


Subject(s)
Creatinine/blood , Cystatin C/blood , Intramolecular Oxidoreductases/blood , Lipocalins/blood , Renal Insufficiency, Chronic/blood , Aged , Aged, 80 and over , Biomarkers/blood , Body Mass Index , Cross-Sectional Studies , Diabetes Mellitus/blood , Diabetes Mellitus/pathology , Diagnostic Tests, Routine , Female , Glomerular Filtration Rate , Humans , Hypertension/blood , Hypertension/pathology , Kidney Function Tests/methods , Male , Predictive Value of Tests , Renal Insufficiency, Chronic/pathology
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