References of "DELANAYE, Pierre"
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See detailAccuracy of Cockcroft&Gault and CKD-EPI equations to estimate glomerular filtration rate in obese population
BOUQUEGNEAU, Antoine ULg; Vidal-Petiot, E; Vrtovsnik, F et al

Poster (2014)

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See detailAssessing kidney function
DELANAYE, Pierre ULg; Rule, AD

in Kimmel, PL; Rosenberg, ME (Eds.) Chronic Renal Disease (2014)

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See detailPeut-on approcher l’ostéoporose de l’insuffisant rénal chronique par les biomarqueurs ?
DELANAYE, Pierre ULg

Conference given outside the academic context (2014)

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See detailEvaluation de la fonction rénale
DELANAYE, Pierre ULg

Conference given outside the academic context (2014)

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See detailNephrology and Clinical Chemistry: the essential link
DELANAYE, Pierre ULg

Scientific conference (2014)

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See detailEstimation du DFG en 2014 : le CKD-EPI (en autres choses…)
DELANAYE, Pierre ULg

Conference (2014)

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See detailCreatinine-based GFR estimating equations in kidney transplant recipients
DELANAYE, Pierre ULg

in American Journal of Kidney Diseases (2014), 64(5), 818

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See detailL'Estimation de la filtration glomérulaire en 2014: Intérêts et limites des tests et formules
Hougardy, Jean-Michel; DELANAYE, Pierre ULg; Le Moine, Alain et al

in Revue Médicale de Bruxelles (2014), 35(4), 250-257

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See detailClinical and biological determinants of sclerostin plasma concentration in hemodialysis patients
DELANAYE, Pierre ULg; KRZESINSKI, Jean-Marie ULg; Warling, Xavier 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 ▲]

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See detailEstimation du débit de filtration glomérulaire en 2014
DELANAYE, Pierre ULg; Krzesinski, Jean-Marie ULg

in Revue Médicale de Liège (2014), 69

Chronic kidney disease (CKD) is a frequent affection, most often detected by evaluation of the glomerular filtration rate (GFR). Measuring GFR by a reference method is not possible for every single ... [more ▼]

Chronic kidney disease (CKD) is a frequent affection, most often detected by evaluation of the glomerular filtration rate (GFR). Measuring GFR by a reference method is not possible for every single patient, even if these methods are probably underused. However, serum creatinine has several limitations of which clinicians should be aware. Knowing these limitations, creatinine and creatinine-based équations (including other parameters like age, gender and ethnicity) still represent the most used and easiest way to detect and assess CKD. [less ▲]

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See detailPINP in renal impaired patients: the assay matters
CAVALIER, Etienne ULg; DELANAYE, Pierre ULg

Poster (2013, November 08)

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See detailModification of diet in renal disease versus chronic kidney disease epidemiology collaboration equation to estimate glomerular filtration rate in obese patients
BOUQUEGNEAU, Antoine ULg; Vidal-Petiot, Emanuelle; Vrtovsnik, François et al

in Nephrology Dialysis Transplantation (2013), 28(4), 122-130

Background Obesity is a recognized risk factor for both the development and progression of chronic kidney disease (CKD). Accurate estimation of glomerular filtration rate (GFR) is thus important in these ... [more ▼]

Background Obesity is a recognized risk factor for both the development and progression of chronic kidney disease (CKD). Accurate estimation of glomerular filtration rate (GFR) is thus important in these patients. We tested the performances of two creatinine-based GFR estimates, the Modification of Diet in Renal Disease (MDRD) and the Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) equations, in an obese population. Methods Patients with body mass index (BMI) > 30 kg/m2 were included. The reference method for measured GFR (mGFR) was 51Cr-EDTA (single-injection method, two blood samples at 120 and 240 min). Both indexed and non-indexed results were considered. Serum creatinine was measured using the IDMS-traceable compensated Jaffe method. Mean bias (eGFR–mGFR), precision (SD around the bias) and accuracy within 30% (percentage of estimations within 30% of mGFR) were calculated for both equations. Results The population included 366 patients (185 women) from two different areas. Mean age was 55 ± 14 years, and mean BMI was 36 ± 7 kg/m2. Mean mGFR was 56 ± 26 mL/min/1.73 m2 (71 ± 35 mL/min without indexation). In the total population, mean bias was +1.9 ± 14.3 and +4.6 ± 14.7 mL/min/1.73 m2 (P < 0.05), and accuracy 30% was 80 and 76% for the MDRD and CKD-EPI equations (P < 0.05), respectively. In patients with mGFR > 60 mL/min/1.73 m2, mean bias was +4.6 ± 18.4 and +9.3 ± 17.2 mL/min/1.73 m2 (P < 0.05), and accuracy 30% was 81 and 79% (NS) for the MDRD and CKD-EPI equations, respectively. Conclusions The CKD-EPI equation did not outperform the MDRD study equation in this population of obese patients [less ▲]

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