Variación biológica de Creatinina, Cistatina C y Tasa de Filtrado Glomerular Estimada a lo largo de 24 horas / Biological Variation of Creatinine, Cystatin C, and Estimated Glomerular Filtration Rate over 24 hours

Antecedentes: La tasa de filtración glomerular estimada (TFGe) es ampliamente utilizada en la práctica clínica. El presente estudio evaluó la variación biológica intraindividual (CVI) de diferentes ecuaciones de TFGe en sujetos con enfermedad renal crónica (ERC) y sin ERC. Los objetivos de este estudio fueron (a) determinar los perfiles de variación biológica durante 24 horas de creatinina, cistatina C y TFGe y (b) determinar si el CVI de la creatinina, la cistatina C y la TFGe cambia el deterioro de la filtración glomerular. Métodos: Se analizaron muestras de sangre cada hora de 37 individuos (17 sin ERC, 20 con ERC) durante 24 h. La creatinina (método enzimático) y la cistatina C se midieron usando un Cobas 8000 (Roche Diagnostics). La TFGe se estimó utilizando la Modificación de la Dieta en la Enfermedad Renal y la Colaboración de Epidemiología de la Enfermedad Renal Crónica basada en creatinina y/o cistatina C. Las muestras de plasma se almacenaron a -80 °C antes del análisis. Se verificaron los análisis de valores atípicos y de homogeneidad antes de realizar un ANOVA anidado para determinar la variación biológica. Resultados: La CVI de creatinina fue más alta en sujetos sin ERC que en aquellos con ERC (6.4% frente a 2.5%) debido principalmente al efecto más marcado del consumo de carne sobre la variabilidad de creatinina en individuos con concentraciones iniciales de creatinina más bajas. A diferencia de la creatinina, las concentraciones de cistatina C no se vieron afectadas por el consumo de carne. La cistatina C mostró alguna variación rítmica diurna y menor en los sujetos con ERC. Los valores de referencia del cambio (VCR) de todas las ecuaciones de TFGe estuvieron dentro del 13% al 20% en ambos grupos de estudio. Conclusiones: A pesar de las diferencias en el CVI de la creatinina, el CVI y el VRC de las ecuaciones de TFGe fueron relativamente similares para los sujetos con o sin ERC.

Background: Estimated glomerular filtration rate (eGFR) is widely used in clinical practice. This study assessed the within-subject biological variation (CVI) of different eGFR equations in people with chronic kidney disease (CKD) and people without CKD. The aims of this study were (a) to determine the 24-h biological variation profiles of creatinine, cystatin C, and eGFR and (b) to determine whether CVI of creatinine, cystatin C, and eGFR changes on deterioration of glomerular filtration. Methods: Hourly blood samples were analyzed from 37 individuals (17 without CKD, 20 with CKD) during 24 h. Creatinine (enzymatic method) and cystatin C were measured using a Cobas 8000 (Roche Diagnostics). eGFR was estimated using the Modification of Diet in Renal Disease and the Chronic Kidney Disease Epidemiology Collaboration based on creatinine and/or cystatin C. Plasma samples were stored at -80 °C before analysis. Outlier and homogeneity analyses were checked before performing a nested ANOVA to determine biological variation. Results: CVI of creatinine was higher in people without CKD than in those with CKD (6.4% vs. 2.5%) owing primarily to the more profound effect of meat consumption on creatinine variability in individuals with lower baseline creatinine concentrations. Unlike creatinine, cystatin C concentrations were unaffected by meat consumption. Cystatin C showed some diurnal rhythmic variation and less in people with CKD. Reference change values (RCVs) of all eGFR equations were within 13% to 20% in both study groups. Conclusions: Despite differences in CVI of creatinine, the CVI and RCV of the eGFR equations were relatively similar for people with or without CKD.

Biological Variation of Creatinine, Cystatin C, and eGFR over 24 Hours.

BACKGROUND: Estimated glomerular filtration rate (eGFR) is widely used in clinical practice. This study assessed the within-subject biological variation (CVI) of different eGFR equations in people with chronic kidney disease (CKD) and people without CKD. The aims of this study were (a) to determine the 24-h biological variation profiles of creatinine, cystatin C, and eGFR and (b) to determine whether CVI of creatinine, cystatin C, and eGFR changes on deterioration of glomerular filtration. METHODS: Hourly blood samples were analyzed from 37 individuals (17 without CKD, 20 with CKD) during 24 h. Creatinine (enzymatic method) and cystatin C were measured using a Cobas 8000 (Roche Diagnostics). eGFR was estimated using the Modification of Diet in Renal Disease and the Chronic Kidney Disease Epidemiology Collaboration based on creatinine and/or cystatin C. Plasma samples were stored at -80 °C before analysis. Outlier and homogeneity analyses were checked before performing a nested ANOVA to determine biological variation. RESULTS: CVI of creatinine was higher in people without CKD than in those with CKD (6.4% vs 2.5%) owing primarily to the more profound effect of meat consumption on creatinine variability in individuals with lower baseline creatinine concentrations. Unlike creatinine, cystatin C concentrations were unaffected by meat consumption. Cystatin C showed some diurnal rhythmic variation and less in people with CKD. Reference change values (RCVs) of all eGFR equations were within 13% to 20% in both study groups. CONCLUSIONS: Despite differences in CVI of creatinine, the CVI and RCV of the eGFR equations were relatively similar for people with or without CKD.

Clinical and echocardiographic determinants in bicuspid aortic dilatation: Results from a longitudinal observational study.

Bicuspid aortic valve (BAV) disease is associated with aortic dilatation. Timing of follow-up and surgery is challenging. Hence, there is an unmet clinical need for additional risk stratification. It is unclear whether valve morphology is associated with dilatation rates. Therefore, the objective of this study was to examine the association between clinical and echocardiographic determinants (including valve morphology) and aortic dimension and the progression rate of dilatation.Aortic dimensions were assessed on serial echocardiographic images between 1999 and 2014 in a population of 392 patients with BAVs in a tertiary care center in the Netherlands. Analyses using mixed linear models were performed.Mean age of participants was 48 ±â€Š17 years and 69% were male. BAV morphology was associated with aortic dimensions, as well as age, sex, BSA, and valvular dysfunction. Tubular ascending aorta, sinus of Valsalva, and sinotubular junction showed a dilatation rate of 0.32, 0.18, and 0.06 mm/year, respectively. Dilatation rate was not associated with valve morphology.In the present study, there is no association between BAV morphology and aortic dilatation rates. Therefore, morphology is of limited use in prediction of aortic growth. Discovering fast progressors remains challenging.

Immature platelet fraction measured on the Sysmex XN hemocytometer predicts thrombopoietic recovery after autologous stem cell transplantation.

OBJECTIVES: A period of thrombocytopenia is common after stem cell transplantation (SCT). To prevent serious bleeding complications, prophylactic platelet transfusions are administered. Previous studies have shown that a rise in immature platelets precedes recovery of platelet count. Our aim was to define a cutoff value for immature platelets predicting thrombopoietic recovery within 2 d. METHODS: Hematological parameters were measured on the Sysmex XN hemocytometer. We calculated reference change values (RCV) for platelets in eight healthy individuals as marker for platelet recovery. To define a cutoff value, we performed ROC analysis using data from 16 autologous SCT patients. RESULTS: RCV for platelet concentration was 14.1%. Platelet recovery was observed 13 (median; range 9-31) days after SCT. Increase in immature platelet fraction (IPF) before platelet recovery was seen in all autologous SCT patients. Optimal cutoff IPF was found to be 5.3% for platelet recovery within 2 d (specificity 0.98, sensitivity 0.47, positive predictive value 0.93). CONCLUSIONS: We identified an optimal cutoff value for IPF 5.3% to predict platelet recovery after autologous SCT within 2 d. Implementing this cutoff value in transfusion strategy may reduce the number of prophylactic platelet transfusions.