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Heart failure is the most frequent cardiac complication of chronic kidney disease (CKD). Biomarkers help identify high-risk patients. Natriuretic peptides (BNP and NT-proBNP) are largely used for monitoring patients with cardiac failure but are highly dependent on glomerular filtration rate (GFR). Soluble suppression of tumorigenicity 2 (sST2) biomarker is well identified in risk stratification of cardiovascular (CV) events in heart failure. Furthermore, sST2 is included in a bioclinical score to stratify mortality risk. The aims of this study were to evaluate (i) the interest of circulating sST2 level in heart dysfunction and (ii) the bioclinical score (Barcelona Bio-Heart Failure risk calculator) to predict the risk of composite outcome (major adverse coronary events) and mortality in the CKD population. A retrospective study was carried out on 218 CKD patients enrolled from 2004 to 2015 at Montpellier University Hospital. sST2 was measured by ELISA (Presage ST2® kit). GFR was estimated by the CKD-EPI equation (eGFR). Indices of cardiac parameters were performed by cardiac echography. No patient had reduced ejection fraction. 112 patients had left ventricular hypertrophy, and 184 presented cardiac dysfunction, with structural, functional abnormalities or both. sST2 was independent of age and eGFR ( ρ = 0.05, p = 0.44, and ρ = -0.07, p = 0.3, respectively). Regarding echocardiogram data, sST2 was correlated with left ventricular mass index ( ρ = 0.16, p = 0.02), left atrial diameter ( ρ = 0.14, p = 0.04), and volume index ( ρ = 0.13, p = 0.05). sST2 alone did not change risk prediction of death and/or CV events compared to natriuretic peptides. Included in the Barcelona Bio-Heart Failure (BCN Bio-HF) score, sST2 added value and better stratified the risk of CV events and/or death in CKD patients ( p < 0.0001). To conclude, sST2 was associated with cardiac remodeling independently of eGFR, unlike other cardiac biomarkers. Added to the BCN Bio-HF score, the risk stratification of death and/or CV events in nondialyzed CKD patients was highly improved.

Background: The association between proprotein convertase subtilisin/kexin type 9 (PCSK9), a critical regulator of low-density lipoprotein (LDL) metabolism, and kidney function is a matter of debate., Objective: We aimed to assess the association of circulating PCSK9 concentrations with both glomerular filtration rate (eGFR) and serum lipid parameters in nondiabetic patients with chronic kidney disease (CKD)., Methods: Fasting plasma PCSK9 concentrations were measured by ELISA in 94 nondiabetic nondialysis CKD (ND-CKD) patients not receiving statins, at different stages of CKD., Results: Plasma PCSK9 levels were associated neither to eGFR (P = .770) nor to proteinuria (P = .888) at several stages of CKD. In addition, plasma PCSK9 levels did not vary significantly between the different CKD stages. Plasma PCSK9 concentrations were positively correlated with apolipoprotein B (r = 0.221; P = .03) and triglycerides (r = 0.211; P = .04) but not with total cholesterol, calculated LDL-cholesterol, HDL cholesterol, lipoprotein(a), or CRP., Conclusion: In a homogeneous population of nondiabetic subjects without lipid-lowering therapy, plasma PCSK9 concentrations are not associated to eGFR at several stages of CKD. These data suggest that kidney function per se does not impact significantly PCSK9 metabolism., (Copyright © 2016 National Lipid Association. Published by Elsevier Inc. All rights reserved.)

Background/aims: Serum free light chain (FLC) levels are correlated with chronic kidney disease (CKD) stages and are highest in patients on hemodialysis (HD). Aim of this study was to assess the FLC removal efficiency of Elisio™-210H dialyzer using either high-flux HD or on line high efficiency hemodiafiltration (HDF) modalities in CKD-5D patients., Methods: In this prospective and comparative study, 20 CKD-5D patients free from multiple myeloma were randomized in two groups: HD versus on line HDF. All patients were dialyzed with Elisio™-210H dialyzer. Serum samples were collected before and after the midweek dialysis session, before randomization and at the end of the study to measure κ and λ FLC concentrations. Reduction ratios were corrected for net ultrafiltration., Results: For both HD and HDF mode, κ and λ FLC concentrations were significantly lower after dialysis than before but median reductions in κ and λ FLC levels were significantly higher in HDF versus HD groups (κ 73.5 vs. 65.5 %, p = 0.04 and λ 51.0 vs. 36.6 %, p = 0.07). After dialysis, all κ/λ ratio values were between 0.26 and 1.65 which is the reference range described in subjects with normal kidney function, for both HD and HDF groups (median κ/λ ratios were 0.80 [0.47-1.22] and 0.67 [0.50-0.79] respectively)., Conclusion: This study shows the superiority of on line HDF compared with HD to remove both κ and λ FLC. Moreover, all post-dialysis κ/λ ratios reached normal reference range.

Background: Osteoprotegerin (OPG), sclerostin and DKK1 constitute opposite bone turnover inhibitors, OPG inhibiting osteoclastogenesis while sclerostin and DKK1 exerting their inhibitory effects on osteoblastogenesis. Both proteins have been recognized as strong risk factors of vascular calcifications in non-dialysis chronic kidney disease (ND-CKD) patients. The aim of this study was to investigate the relationships between these inhibitors and coronary artery calcifications (CAC) in this population., Methods: A total of 241 ND-CKD patients [143 males; 69.0 (25.0-95.0) years; median estimated glomerular filtration rate using CKD-EPI 35.1 (6.7-120.1) mL/min/1.73 m(2)] were enrolled in this cross-sectional study. All underwent chest multidetector computed tomography for CAC scoring. OPG, sclerostin, DKK1 and mineral metabolism markers including PTH and bone alkaline phosphatase were measured. Logistic regression analyses were used to study the relationships between CAC and these markers., Results: Decline in renal function was associated with a significant increase in OPG and sclerostin while a slight but significant decrease in DKK1 was observed. The main crude associations with presence of CAC were a high level of OPG [OR = 2.55 95% confidence interval (95% CI) (1.35-4.82) for a level ranging from 6.26 to 9.15 pmol/L and OR = 5.74 95% CI (2.87-11.5) for a level ≥9.15 pmol/L; P < 0.0001] and a high level of sclerostin [OR = 2.64 95% CI (1.39-5.00) for a level ranging from 0.748 to 1.139 ng/mL and OR = 3.78 95% CI (1.96-7.31) for a level ≥1.139 ng/mL; P = 0.0002]. A logistic regression model clearly showed that the risk to present CAC was significantly increased when both OPG (≥6.26 pmol/L) and sclerostin (≥0.748 ng/mL) levels were high [crude model: OR = 11.47 95% CI (4.54-29.0); P < 0.0001; model adjusted for age, gender, diabetes, body mass index and smoking habits: OR = 5.69 95% CI (1.76-18.4); P = 0.02]. No association between DKK1 and presence of CAC was observed., Conclusions: Our results strongly suggest that bone turnover inhibitors, OPG and sclerostin, are independently associated with CAC with potential additive effects in ND-CKD patients., (© The Author 2015. Published by Oxford University Press on behalf of ERA-EDTA. All rights reserved.)

Background and Objectives: Protein-energy wasting is common in long-term haemodialysis (HD) patients with chronic kidney disease and is associated with increased morbidity and mortality. The creatinine index (CI) is a simple and useful nutritional parameter reflecting the dietary skeletal muscle protein intake and skeletal muscle mass of the patient. Because of the complexity of creatinine kinetic modeling (CKM) to derive CI, we developed a more simplified formula to estimate CI in HD patients., Design, Setting, Participants & Measurements: A large database of 549 HD patients followed over more than 20 years including monthly CKM-derived CI values was used to develop a simple equation based on patient demographics, predialysis serum creatinine values and dialysis dose (spKt/V) using mixed regression models., Results: The equation to estimate CI was developed based on age, gender, pre-dialysis serum creatinine concentrations and spKt/V urea. The equation-derived CI correlated strongly with the measured CI using CKM (correlation coefficient  = 0.79, p-value <0.001). The mean error of CI prediction using the equation was 13.47%. Preliminary examples of few typical HD patients have been used to illustrate the clinical relevance and potential usefulness of CI., Conclusions: The elementary equation used to derive CI using demographic parameters, pre-dialysis serum creatinine concentrations and dialysis dose is a simple and accurate surrogate measure for muscle mass estimation. However, the predictive value of the simplified CI assessment method on mortality deserves further evaluation in large cohorts of HD patients.