Clinical and biological determinants of sclerostin plasma concentration in hemodialysis patients
DELANAYE, Pierre ; KRZESINSKI, Jean-Marie ; et al
in Nephron. Clinical Practice (2014), 128
Background: Sclerostin is a potent inhibitor of bone formation, but the meaning of its serum levels remains undetermined. We evaluated the association between sclerostin levels and clinical or biological ... [more ▼]
Background: Sclerostin is a potent inhibitor of bone formation, but the meaning of its serum levels remains undetermined. We evaluated the association between sclerostin levels and clinical or biological data in hemodialyzed patients (HD), notably parathormone (PTH), biomarkers of bone turnover, vascular calcifications and mortality after 2 years. Methods: 164 HD patients were included in this observational study. The calcification score was assessed with the Kauppila method. Patients were followed for 2 years. Results: Median sclerostin levels were significantly (p < 0.0001) higher in HD versus healthy subjects (n = 94) (1,375 vs. 565 pg/ml, respectively). In univariate analysis a significant association (p < 0.05) was found between sclerostin and age, height, dialysis vintage, albumin, troponin, homocysteine, PTH, C-terminal telopeptide of collagen type I, bone-specific alkaline phosphatase and osteoprotegerin, but not with the calcification score. In a multivariate model, the association remained with age, height, dialysis vintage, troponin, homocysteine, phosphate, PTH, but also with vascular calcifications. Association was positive for all variables, except PTH and vascular calcifications. The baseline sclerostin concentration was not different in survivors and non-survivors. Conclusions: We confirm a higher concentration of sclerostin in HD patients, a positive association with age and a negative association with PTH. A positive association with phosphate, homocysteine and troponin calls for additional research. The clinical interest of sclerostin to assess vascular calcifications in HD is limited and no association was found between sclerostin and mortality. [less ▲]Detailed reference viewed: 29 (19 ULg)
Con: Should we abandon the use of the MDRD equation in favour of the CKD-EPI equation?
DELANAYE, Pierre ; ;
in Nephrology Dialysis Transplantation (2013), 28(6), 1396-1403Detailed reference viewed: 22 (0 ULg)
Performance of creatinine and cystatin C-based glomerular filtration rate estimating equations in a European HIV-positive cohort.
; DELANAYE, Pierre ; et al
in AIDS (2013)Detailed reference viewed: 12 (0 ULg)
Demystifying ethnic/sex differences in kidney function: is the difference in (estimating) glomerular filtration rate or in serum creatinine concentration?
; ; DELANAYE, Pierre et al
in Clinica Chimica Acta (2012), 413(19-20), 1612-17
BACKGROUND: The recent evaluation of the Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) equation for estimating the glomerular filtration rate (GFR) in multiple ethnicities has raised the ... [more ▼]
BACKGROUND: The recent evaluation of the Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) equation for estimating the glomerular filtration rate (GFR) in multiple ethnicities has raised the question on how well this equation performs for African-American and Asian subjects. There is no doubt that serum creatinine (Scr) concentration differs between ethnicities and sexes. We show that creatinine-based equations for white populations may be inaccurate for estimating GFR in other ethnic/gender groups, especially in populations from Asia. METHODS: This study presents a mathematical analysis of the CKD-EPI-equation complemented with a literature review of median and reference values for IDMS-standardized Scr-concentrations for multiple ethnicities. RESULTS: The study shows that at equal eGFR-CKD-EPI-values, the ratio of Scr between females and males equals 0.79 and between other ethnicities/sexes and white males is constant too. From this information, it is possible to calculate mean Scr-values that correspond very well with literature values directly obtained from Scr-distributions in healthy white males and females and in black males, but the discrepancy is larger for other populations. CONCLUSIONS: Our results confirm the criticism that has been raised for using the CKD-EPI-equation for these ethnicities. An alternative eGFR-model is proposed based on a population-normalized Scr that needs further validation. [less ▲]Detailed reference viewed: 43 (0 ULg)
Virologic therapy response significantly correlates with the number of active drugs as evaluated using a LiPA HIV-1 resistance scoring system
; ; et al
in Journal of Clinical Virology (2004), 31(Suppl. 1), 7-15
Background: Resistance testing is increasingly accepted as a tool in guiding the selection of human immunodeficiency virus type 1 (HIV-1) antiretroviral therapy in HIV-1 infected individuals who fail ... [more ▼]
Background: Resistance testing is increasingly accepted as a tool in guiding the selection of human immunodeficiency virus type 1 (HIV-1) antiretroviral therapy in HIV-1 infected individuals who fail their current regimen. Objectives: To descriptively compare the correlation between virologic treatment response and results using three genotypic HIV-1 drug resistance interpretation systems: the VERSANT(R) HIV-1 Resistance Assay (LiPA) system and two sequence-based interpretation systems. Study design: Specimens from 213 HIV-1-infected subjects, either starting (n = 104) or switching to (n = 109) a regimen of three or four antiretroviral drugs, were collected retrospectively at baseline and after 3 months of uninterrupted therapy. The correlation between viral load change and the number of predicted active drugs in the treatment regimen was assessed. An interpretation algorithm was recently developed to process VERSANT(R) HIV-1 Resistance Assay (LiPA) data. The number of active drugs predicted using this algorithm was rank correlated with the viral load change over a 3-month treatment period. For comparison, a similar calculation was made using two sequence-based algorithms (REGA version 5.5 and VGI GuideLines(TM) Rules 4.0), both applied on the same sequences. Results: Statistically significant (p < 0.05) correlation coefficients for each of the three HIV-1 drug resistance interpretation systems were observed in the treatment-experienced subjects on a 3-drug regimen (-0.39, -0.38, and -0.42, respectively) as well as on a 4-drug regimen (-0.33, -0.31, and -0.37, respectively). However, no significant correlation was observed in treatment-naive subjects, probably due to the very low frequency of drug resistance in these subjects. Conclusion: All three genotypic drug resistance interpretation systems (LiPA version 1, REGA version 5.5, and VGI GuideLines(TM) Rules 4.0) were statistically significantly correlated with virologic therapy response as measured by viral load testing. (C) 2004 Elsevier B.V. All rights reserved. [less ▲]Detailed reference viewed: 25 (3 ULg)