Stability of creatinine and cystatin C in whole blood

<p>Background: As yet little is known about the effect of delayed separation of whole blood stored at room temperature on the stability of the kidney function markers creatinine and cystatin C.</p><p>Methods: We used plasma samples of 45 patients with a wide range of creatinine and cystatin C concentration. Samples were sent by post as whole blood, and differences in creatinine and cystatin C concentrations when measured (by enzymatic assay and PETIA, respectively) in plasma separated shortly after blood withdrawal or in plasma obtained after delayed separation at 24, 48 and 72 h. Intra- and inter-assay variability was assessed and total change limit was calculated to assess analyte stability.</p><p>Results: Total change limit was 3.3% for creatinine and 3.9% for cystatin C. In whole blood creatinine and cystatin C remained stable up to 48 h. Delayed separation of whole blood did not induce more variability in measured concentrations of both analytes. Glomerular filtration rate estimated with the CKD-EPI equations showed less than 3 mL/min/1.73 m(2) difference when using creatinine or cystatin C concentration measured in plasma separated up to 48 h after blood withdrawal compared to plasma separated shortly after blood withdrawal. The new CKD-EPI equation that uses creatinine as well as cystatin C to estimate GFR showed even at 72 h less than 3 mL/min/1.73 m(2) difference.</p><p>Conclusions: Creatinine and cystatin C remain stable in whole blood stored at room temperature up to 48 h before separation, and changes in these analytes during this time period do not affect variability and eGFR. (C) 2013 The Canadian Society of Clinical Chemists. Published by Elsevier Inc. All rights reserved.</p>

Plasma C-Peptide and Risk of Developing Type 2 Diabetes in the General Population

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The prevalence of metabolic syndrome and metabolically healthy obesity in Europe: A collaborative analysis of ten large cohort studies.

BACKGROUND: Not all obese subjects have an adverse metabolic profile predisposing them to developing type 2 diabetes or cardiovascular disease. The BioSHaRE-EU Healthy Obese Project aims to gain insights into the consequences of (healthy) obesity using data on risk factors and phenotypes across several large-scale cohort studies. Aim of this study was to describe the prevalence of obesity, metabolic syndrome (MetS) and metabolically healthy obesity (MHO) in ten participating studies. METHODS: Ten different cohorts in seven countries were combined, using data transformed into a harmonized format. All participants were of European origin, with age 18-80&nbsp;years. They had participated in a clinical examination for anthropometric and blood pressure measurements. Blood samples had been drawn for analysis of lipids and glucose. Presence of MetS was assessed in those with obesity (BMI&thinsp;&ge;&thinsp;30&nbsp;kg/m2) based on the 2001 NCEP ATP III criteria, as well as an adapted set of less strict criteria. MHO was defined as obesity, having none of the MetS components, and no previous diagnosis of cardiovascular disease. RESULTS: Data for 163,517 individuals were available; 17% were obese (11,465 men and 16,612 women). The prevalence of obesity varied from 11.6% in the Italian CHRIS cohort to 26.3% in the German KORA cohort. The age-standardized percentage of obese subjects with MetS ranged in women from 24% in CHRIS to 65% in the Finnish Health2000 cohort, and in men from 43% in CHRIS to 78% in the Finnish DILGOM cohort, with elevated blood pressure the most frequently occurring factor contributing to the prevalence of the metabolic syndrome. The age-standardized prevalence of MHO varied in women from 7% in Health2000 to 28% in NCDS, and in men from 2% in DILGOM to 19% in CHRIS. MHO was more prevalent in women than in men, and decreased with age in both sexes. CONCLUSIONS: Through a rigorous harmonization process, the BioSHaRE-EU consortium was able to compare key characteristics defining the metabolically healthy obese phenotype across ten cohort studies. There is considerable variability in the prevalence of healthy obesity across the different European populations studied, even when unified criteria were used to classify this phenotype