Predicting outcomes of acute kidney injury in critically ill patients using machine learning.

Acute Kidney Injury (AKI) is a sudden episode of kidney failure that is frequently seen in critically ill patients. AKI has been linked to chronic kidney disease (CKD) and mortality. We developed machine learning-based prediction models to predict outcomes following AKI stage 3 events in the intensive care unit. We conducted a prospective observational study that used the medical records of ICU patients diagnosed with AKI stage 3. A random forest algorithm was used to develop two models that can predict patients who will progress to CKD after three and six months of experiencing AKI stage 3. To predict mortality, two survival prediction models have been presented using random survival forests and survival XGBoost. We evaluated established CKD prediction models using AUCROC, and AUPR curves and compared them with the baseline logistic regression models. The mortality prediction models were evaluated with an external test set, and the C-indices were compared to baseline COXPH. We included 101 critically ill patients who experienced AKI stage 3. To increase the training set for the mortality prediction task, an unlabeled dataset has been added. The RF (AUPR: 0.895 and 0.848) and XGBoost (c-index: 0.8248) models have a better performance than the baseline models in predicting CKD and mortality, respectively Machine learning-based models can assist clinicians in making clinical decisions regarding critically ill patients with severe AKI who are likely to develop CKD following discharge. Additionally, we have shown better performance when unlabeled data are incorporated into the survival analysis task.

Validated risk prediction models for outcomes of acute kidney injury: a systematic review.

BACKGROUND: Acute Kidney Injury (AKI) is frequently seen in hospitalized and critically ill patients. Studies have shown that AKI is a risk factor for the development of acute kidney disease (AKD), chronic kidney disease (CKD), and mortality. METHODS: A systematic review is performed on validated risk prediction models for developing poor renal outcomes after AKI scenarios. Medline, EMBASE, Cochrane, and Web of Science were searched for articles that developed or validated a prediction model. Moreover, studies that report prediction models for recovery after AKI also have been included. This review was registered with PROSPERO (CRD42022303197). RESULT: We screened 25,812 potentially relevant abstracts. Among the 149 remaining articles in the first selection, eight met the inclusion criteria. All of the included models developed more than one prediction model with different variables. The models included between 3 and 28 independent variables and c-statistics ranged from 0.55 to 1. CONCLUSION: Few validated risk prediction models targeting the development of renal insufficiency after experiencing AKI have been developed, most of which are based on simple statistical or machine learning models. While some of these models have been externally validated, none of these models are available in a way that can be used or evaluated in a clinical setting.

Comparison between Cystatin C- and Creatinine-Based Estimated Glomerular Filtration Rate in the Follow-Up of Patients Recovering from a Stage-3 AKI in ICU.

Background: Acute kidney injury (AKI) in critically ill patients is associated with a significant increase in mortality as well as long-term renal dysfunction and chronic kidney disease (CKD). Serum creatinine (SCr), the most widely used biomarker to evaluate kidney function, does not always accurately predict the glomerular filtration rate (GFR), since it is affected by some non-GFR determinants such as muscle mass and recent meat ingestion. Researchers and clinicians have gained interest in cystatin C (CysC), another biomarker of kidney function. The study objective was to compare GFR estimation using SCr and CysC in detecting CKD over a 1-year follow-up after an AKI stage-3 event in the ICU, as well as to analyze the association between eGFR (using SCr and CysC) and mortality after the AKI event. Method: This prospective observational study used the medical records of ICU patients diagnosed with AKI stage 3. SCr and CysC were measured twice during the ICU stay and four times following diagnosis of AKI. The eGFR was calculated using the EKFC equation for SCr and FAS equation for CysC in order to check the prevalence of CKD (defined as eGFR < 60 mL/min/1.73 m2). Results: The study enrolled 101 patients, 36.6% of whom were female, with a median age of 74 years (30−92), and a median length of stay of 14.5 days in intensive care. A significant difference was observed in the estimation of GFR when comparing formulas based on SCrand CysC, resulting in large differences in the prediction of CKD. Three months after the AKI event, eGFRCysC < 25 mL/min/1.73 m2 was a predictive factor of mortality later on; however, this was not the case for eGFRSCr. Conclusion: The incidence of CKD was highly discrepant with eGFRCysC versus eGFRSCr during the follow-up period. CysC detects more CKD events compared to SCr in the follow-up phase and eGFRCysC is a predictor for mortality in follow-up but not eGFRSCr. Determining the proper marker to estimate GFR in the post-ICU period in AKI stage-3 populations needs further study to improve risk stratification.

Diagnostic Accuracy of Noninvasive Bone Turnover Markers in Renal Osteodystrophy.

RATIONALE & OBJECTIVE: Bone biopsy remains the gold standard for diagnosing renal osteodystrophy as comparable noninvasive alternatives have yet to be established. This study investigated the diagnostic accuracy of biochemical markers of skeletal remodeling to predict bone turnover. STUDY DESIGN: Cross-sectional retrospective diagnostic test study. SETTING & PARTICIPANTS: Patients with chronic kidney disease glomerular filtration rate categories 4-5, including patients treated with dialysis (G4-G5D) and kidney transplant recipients with successful transiliac bone biopsies. TESTS COMPARED: Bone turnover as determined by bone histomorphometry was compared with the following biochemical markers: full-length (amino acids 1-84) "biointact" parathyroid hormone (PTH), bone-specific alkaline phosphatase (BsAP), intact procollagen type I N-terminal propeptide (PINP), and tartrate-resistant acid phosphatase isoform 5b (TRAP5b). OUTCOME: Diagnostic performance was evaluated by area under the receiver operator characteristics curve (AUC), sensitivity, specificity, and negative and positive predictive values. Optimal diagnostic cutoffs were determined in an exploration cohort (n = 100) and validated in a separate cohort (n = 99). RESULTS: All biomarkers differed across categories of low 33 (17%), normal 109 (55%), and high 57 (29%) bone turnover. AUC values were in the range of 0.75-0.85. High negative predictive values (≥90%) were found for both high and low bone turnover, indicating the ability to rule out both conditions using the suggested biomarker cutoffs. The highest diagnostic performances were seen with combinations of biomarkers, with overall diagnostic accuracies of 90% for high turnover, and 78% for low turnover. Results were comparable for kidney transplant candidates and recipients in a sensitivity analysis. LIMITATIONS: The single-center approach and heterogeneity of the study cohort are main limitations of this study. CONCLUSIONS: We conclude that the diagnostic performance of biochemical markers of bone turnover is acceptable, with clinical utility in ruling out both high and low turnover bone disease.

Predictors and Dynamics of the Humoral and Cellular Immune Response to SARS-CoV-2 mRNA Vaccines in Hemodialysis Patients: A Multicenter Observational Study.

BACKGROUND: Preliminary evidence suggests patients on hemodialysis have a blunted early serological response to SARS-CoV-2 vaccination. Optimizing the vaccination strategy in this population requires a thorough understanding of predictors and dynamics of humoral and cellular immune responses to different SARS-CoV-2 vaccines. METHODS: This prospective multicenter study of 543 patients on hemodialysis and 75 healthy volunteers evaluated the immune responses at 4 or 5 weeks and 8 or 9 weeks after administration of the BNT162b2 or mRNA-1273 vaccine, respectively. We assessed anti-SARS-CoV-2 spike antibodies and T cell responses by IFN-γ secretion of peripheral blood lymphocytes upon SARS-CoV-2 glycoprotein stimulation (QuantiFERON assay) and evaluated potential predictors of the responses. RESULTS: Compared with healthy volunteers, patients on hemodialysis had an incomplete, delayed humoral immune response and a blunted cellular immune response. Geometric mean antibody titers at both time points were significantly greater in patients vaccinated with mRNA-1273 versus BNT162b2, and a larger proportion of them achieved the threshold of 4160 AU/ml, corresponding with high neutralizing antibody titers in vitro (53.6% versus 31.8% at 8 or 9 weeks, P <0.0001). Patients vaccinated with mRNA-1273 versus BNT162b2 exhibited significantly greater median QuantiFERON responses at both time points, and a larger proportion achieved the threshold of 0.15 IU/ml (64.4% versus 46.9% at 8 or 9 weeks, P <0.0001). Multivariate analysis identified COVID-19 experience, vaccine type, use of immunosuppressive drugs, serum albumin, lymphocyte count, hepatitis B vaccine nonresponder status, and dialysis vintage as independent predictors of the humoral and cellular responses. CONCLUSIONS: The mRNA-1273 vaccine's greater immunogenicity may be related to its higher mRNA dose. This suggests a high-dose vaccine might improve the impaired immune response to SARS-CoV-2 vaccination in patients on hemodialysis.

Static histomorphometry allows for a diagnosis of bone turnover in renal osteodystrophy in the absence of tetracycline labels.

A bone biopsy with prior tetracycline labeling is the gold standard to diagnose renal osteodystrophy. In cases of missing tetracycline labels, it is still paramount to gain clinically relevant information from the extracted bone sample, by evaluating the static histomorphometry. This study investigates the diagnostic performance of static histomorphometry for the evaluation of high and low bone turnover. Transiliac bone biopsies taken pre- or post- kidney transplantation, of sufficient quality for a full histomorphometric analysis were included (n = 205). The cohort was randomly split to provide separate exploration and validation subsets. Diagnostic performance was evaluated by area under the receiver operator characteristics curve (AUC). All histomorphometric parameters were significantly different across categories of low (24%), normal (60%), and high (16%) bone turnover, and all were significant predictors of both high and low bone turnover (AUC 0.71-0.84). Diagnostic performance was very good for high turnover, as a combination of static parameters resulted in negative and positive predictive values (NPV and PPV) of 80% and 96%, respectively. For low turnover, the combined model resulted in PPV of 71% and NPV of 82%. We conclude that in the absence of tetracycline labels, static histomorphometry provide an acceptable alternative for a diagnosis of bone turnover in renal osteodystrophy.

Circulating levels of sclerostin but not DKK1 associate with laboratory parameters of CKD-MBD.

INTRODUCTION: Mounting evidence indicates that a disturbed Wnt-ß-catenin signaling may be involved in the pathogenesis of chronic kidney disease-mineral and bone and mineral disorder (CKD-MBD). Data on the impact of CKD on circulating levels of the Wnt antagonists sclerostin and Dickkopf related protein 1 (DKK1) and the relationship with laboratory parameters of CKD-MBD are incomplete. METHODS: We analyzed serum sclerostin and DKK1 in 308 patients across the stages of chronic kidney disease (kDOQI stage 1-2 n = 41; CKD stage 3 n = 54; CKD stage 4-5 n = 54; hemodialysis n = 100; peritoneal dialysis n = 59) as well as in 49 healthy controls. We investigated associations with demographics, renal function, parameters of mineral metabolism including 25(OH) vitamin D, 1,25(OH)2 vitamin D, biointact fibroblast growth factor 23 (FGF23), and parathyroid hormone (PTH), and bone turnover markers. RESULTS: Serum sclerostin, but not DKK1, increases in more advanced stages of CKD and associates with PTH, phosphate, and 1,25(OH)2 vitamin D concentrations. Bone turnover markers are highest in hemodialysis patients presenting the combination of high PTH with low sclerostin level. Serum DKK1 levels are lower in CKD patients than in controls and are not associated with laboratory parameters of mineral metabolism. Interestingly, a direct association between DKK1 and platelet count was observed. CONCLUSION: In CKD, serum levels of the Wnt inhibitors DKK1 and sclerostin are unrelated, indicating different sites of origin and/ or different regulatory mechanisms. Sclerostin, as opposed to DKK1, may qualify as a biomarker of CKD-MBD, particularly in dialysis patients. DKK1 serum levels, remarkably, correlate almost uniquely with blood platelet counts.

Bone histomorphometry in de novo renal transplant recipients indicates a further decline in bone resorption 1 year posttransplantation.

Renal transplantation is believed to have a major impact on bone health. The present prospective observational bone biopsy study aimed to define the natural history of bone histomorphometry parameters in contemporaneous de novo renal transplant recipients. Paired bone biopsies were performed at the time of transplantation and at one-year posttransplantation in an unselected cohort of 36 patients referred for deceased kidney replacement. Parameters of mineral metabolism and circulating bone turnover markers were monitored as well. Static parameters of bone formation and especially bone resorption being already low-normal in the majority of patients at the time of renal transplantation, further declined during the first posttransplant year. However, interindividual variation was substantial, and significance was reached only for bone resorption parameters. Bone mineralization and trabecular bone volume were within the normal range at the time of transplantation (83.3% and 91.7% of graft recipients, respectively) and showed little change one-year posttransplantation. Changes in osteoclast number were paralleled by changes in circulating tartrate-resistant acid phosphatase 5b levels. Finally, cumulative glucocorticoid dose, but not the posttransplantation parathyroid hormone level, associated with trabecular bone loss. Thus, the impact of renal transplantation on bone histomorphometry is limited with only bone resorption, being already low at the time of transplantation, showing a further decline.

Decreased Circulating Sclerostin Levels in Renal Transplant Recipients With Persistent Hyperparathyroidism.

BACKGROUND: Sclerostin is an osteocyte-secreted soluble antagonist of the Wnt/ß-catenin signaling pathway requisite for osteoblast development and activity. The regulation of sclerostin expression in bone is complex. Parathyroid hormone (PTH) is recognized to be an important suppressor. Circulating sclerostin levels are 2- to 4-fold higher in patients with end-stage renal disease as compared with individuals with normal renal function. METHODS: We performed a longitudinal observational cohort study and case-control study in 50 de novo renal transplant recipients, 50 chronic kidney disease (CKD) patients (n = 50) matched for age, sex, and estimated glomerular filtration rate, and 23 renal transplant recipients referred for parathyroidectomy to define the impact of renal transplantation on circulating sclerostin levels and to clarify the role of persistent (tertiary) hyperparathyroidism. RESULTS: Sclerostin serum levels decreased by 61.2% (median) during the first 3 months after transplantation (1.24 vs 0.44 ng/mL, P < 0.0001) to increase thereafter toward levels observed in CKD counterparts (0.63 ng/ml). High PTH levels independently associated with low sclerostin levels, both at time of transplantation and at 1 year. Sclerostin levels significantly increased after parathyroidectomy (0.49 vs. 0.32 ng/ml, P < 0.0001). The time course of bone biomarkers after parathyroidectomy suggests that bone resorption normalizes earlier than bone formation. CONCLUSIONS: Circulating sclerostin levels appear to show a biphasic pattern after renal transplantation with a rapid and profound decrease, followed by gradual increase towards levels observed in CKD counterparts. Our data support the notion that PTH is an important regulator of circulating sclerostin levels.

Phosphorus metabolism in peritoneal dialysis- and haemodialysis-treated patients.

BACKGROUND: Phosphorus control is generally considered to be better in peritoneal dialysis (PD) patients as compared with haemodialysis (HD) patients. Predialysis phosphorus concentrations are misleading as a measure of phosphorus exposure in HD, as these neglect significant dialysis-related fluctuations. METHODS: Parameters of mineral metabolism, including parathyroid hormone (PTH) and fibroblast growth factor-23 (FGF-23), were determined in 79 HD and 61 PD patients. In PD, phosphorus levels were determined mid-morning. In HD, time-averaged phosphorus concentrations were modelled from measurements before and after the mid-week dialysis session. Weekly renal, dialytic and total phosphorus clearances as well as total mass removal were calculated from urine and dialysate collections. RESULTS: Time-averaged serum phosphorus concentrations in HD (3.5 ± 1.0 mg/dL) were significantly lower than the mid-morning concentrations in PD (5.0 ± 1.4 mg/dL, P < 0.0001). In contrast, predialysis phosphorus concentrations (4.6 ± 1.4 mg/dL) were not different from PD. PTH and FGF-23 levels were significantly higher in PD. Despite higher residual renal function, total phosphorus clearance was significantly lower in PD (P < 0.0001). Total phosphorus mass removal, conversely, was significantly higher in PD (P < 0.05). CONCLUSIONS: Our data suggest that the time-averaged phosphorus concentrations in patients treated with PD are higher as compared with patients treated with HD. Despite a better preserved renal function, total phosphorus clearance is lower in patients treated with PD. Additional studies are needed to confirm these findings in a population with a different demographic profile and dietary background and to define clinical implications.

Cardiovascular disease relates to intestinal uptake of p-cresol in patients with chronic kidney disease.

BACKGROUND: Serum p-cresyl sulfate (PCS) associates with cardiovascular disease in patients with chronic kidney disease. PCS concentrations are determined by intestinal uptake of p-cresol, human metabolism to PCS and renal clearance. Whether intestinal uptake of p-cresol itself is directly associated with cardiovascular disease in patients with renal dysfunction has not been studied to date. METHODS: We performed a prospective study in patients with chronic kidney disease stage 1 - 5 (NCT00441623). Intestinal uptake of p-cresol, under steady state conditions, was estimated from 24 h urinary excretion of PCS. Primary endpoint was time to first cardiovascular event, i.e., cardiac death, myocardial infarction/ischemia, ventricular arrhythmia, cardiovascular surgery, ischemic stroke or symptomatic peripheral arterial disease. Statistical analysis was done using Kaplan-Meier estimates and Cox proportional hazard analyses. RESULTS: In a cohort of 200 patients, median 24 h urinary excretion of PCS amounted to 457.47 µmol (IQR 252.68 - 697.17). After a median follow-up of 52 months, 25 patients reached the primary endpoint (tertile 1/2/3: 5/6/14 events, log rank P 0.037). Higher urinary excretion of PCS was directly associated with cardiovascular events (univariate hazard ratio per 100 µmol increase: 1.112, P 0.002). In multivariate analysis, urinary excretion of PCS remained a predictor of cardiovascular events, independent of eGFR (hazard ratio 1.120, P 0.002). CONCLUSIONS: In patients with chronic kidney disease, intestinal uptake of p-cresol associates with cardiovascular disease independent of renal function. The intestinal generation and absorption of p-cresol may be therapeutic targets to reduce cardiovascular disease risk in patients with renal dysfunction.

Heritability and clinical determinants of serum indoxyl sulfate and p-cresyl sulfate, candidate biomarkers of the human microbiome enterotype.

BACKGROUND: Indoxyl sulfate and p-cresyl sulfate are unique microbial co-metabolites. Both co-metabolites have been involved in the pathogenesis of accelerated cardiovascular disease and renal disease progression. Available evidence suggests that indoxyl sulfate and p-cresyl sulfate may be considered candidate biomarkers of the human enterotype and may help to explain the link between diet and cardiovascular disease burden. OBJECTIVE AND DESIGN: Information on clinical determinants and heritability of indoxyl sulfate and p-cresyl sulfate serum is non-existing. To clarify this issue, the authors determined serum levels of indoxyl sulfate and p-cresyl sulfate in 773 individuals, recruited in the frame of the Flemish Study on Environment, Genes and Health Outcomes (FLEMENGHO study). RESULTS: Serum levels of indoxyl sulfate and p-cresyl sulfate amounted to 3.1 (2.4-4.3) and 13.0 (7.4-21.5) µM, respectively. Regression analysis identified renal function, age and sex as independent determinants of both co-metabolites. Both serum indoxyl sulfate (h2 = 0.17) and p-cresyl sulfate (h2 = 0.18) concentrations showed moderate but significant heritability after adjustment for covariables, with significant genetic and environmental correlations for both co-metabolites. LIMITATIONS: Family studies cannot provide conclusive evidence for a genetic contribution, as confounding by shared environmental effects can never be excluded. CONCLUSIONS: The heritability of indoxyl sulfate and p-cresyl sulfate is moderate. Besides genetic host factors and environmental factors, also renal function, sex and age influence the serum levels of these co-metabolites.

Serum concentrations of p-cresyl sulfate and indoxyl sulfate, but not inflammatory markers, increase in incident peritoneal dialysis patients in parallel with loss of residual renal function.

BACKGROUND: High serum concentrations of the protein-bound uremic retention solutes p-cresyl sulfate (PCS) and indoxyl sulfate (IndS) and inflammation are associated with increased cardiovascular morbidity and mortality in chronic kidney disease. Renal clearance contributes to up to 80% of the total clearance of PCS and IndS in peritoneal dialysis (PD) patients. Cross-sectional studies evaluating the impact of residual renal function (RRF) on serum concentrations of PCS, IndS, and circulating inflammatory markers have yielded conflicting results. ♢ METHODS: To clarify this issue, we carried out a prospective observational cohort study in incident PD patients (n = 35; 19 men; mean age: 55 ± 17 years). Midday blood samples were collected and analyzed for total serum PCS, IndS, C-reactive protein, and high-sensitivity interleukin 6. Peritoneal and renal clearances were calculated from urine and dialysate collections, and RRF was calculated as the mean of renal urea nitrogen and creatinine clearances. Patients were assessed 1, 6, 12, and 24 months after PD start. Differences between time points were analyzed using linear mixed models (LMMs). ♢ RESULTS: Residual renal function declined significantly over time (LMM p < 0.0001). Peritoneal clearances of both toxins tended to increase, but did not compensate for the declining renal clearances. Serum concentrations of PCS and IndS increased significantly over time (LMM p = 0.01; p = 0.0009). In contrast, total mass removal of both toxins remained stable. Circulating inflammatory markers did not change over time. ♢ CONCLUSIONS: Our data indicate that serum concentrations of PCS and IndS, but not inflammatory markers, increase in incident PD patients in parallel with loss of RRF.

Renal clearance and intestinal generation of p-cresyl sulfate and indoxyl sulfate in CKD.

BACKGROUND AND OBJECTIVES: p-Cresyl sulfate and indoxyl sulfate contribute to cardiovascular disease and progression of renal disease. Renal clearance of both solutes mainly depends on tubular secretion, and serum concentrations are widely dispersed for any given stage of CKD. From this information, it is inferred that estimated GFR is not a suitable proxy of the clearance of these solutes. Formal clearance studies have, however, not been performed to date. DESIGN, SETTING, PARTICIPANTS, & MEASUREMENTS: This study analyzed renal clearances of p-cresyl sulfate and indoxyl sulfate in the Leuven CKD cohort (NCT00441623; inclusion between November of 2005 and September of 2006) and explored their relationship with estimated GFR. Multivariate linear regression models were built to evaluate contributions of estimated GFR, demographics, and generation rates to p-cresyl sulfate and indoxyl sulfate serum concentrations. RESULTS: Renal clearances were analyzed in 203 patients with CKD stages 1-5. Indoxyl sulfate clearances (median=17.7, interquartile range=9.4-33.2 ml/min) exceeded p-cresyl sulfate clearances (median=6.8, interquartile range=3.4-12.0 ml/min) by about threefold. A linear relationship was observed between estimated GFR and clearances of p-cresyl sulfate (R(2)=0.50, P<0.001) and indoxyl sulfate (R(2)=0.55, P<0.001). In multivariate regression, p-cresyl sulfate concentrations were associated (R(2)=0.75) with estimated GFR and generation rate (both P<0.001). Indoxyl sulfate concentrations were associated (R(2)=0.74) with estimated GFR, generation rate (both P<0.001), age (P<0.05), and sex (P<0.05). CONCLUSIONS: Estimated GFR provides an acceptable estimate of renal clearance of p-cresyl sulfate and indoxyl sulfate. Remarkably, clearances of indoxyl sulfate exceed clearances of p-cresyl sulfate by approximately threefold, suggesting substantial differences between tubular transporter affinities and/or involvement of separate transporter systems for p-cresyl sulfate and indoxyl sulfate.

Sclerostin: Another vascular calcification inhibitor?

CONTEXT: Sclerostin, a Wnt antagonist produced by osteocytes, regulates osteoblast activity and is a well-established key player in bone turnover. Recent data indicate that the Wnt pathway may also be involved in vascular calcification. OBJECTIVE: The present study tests the hypothesis that serum sclerostin levels are associated with vascular calcification in patients with chronic kidney disease (CKD) not yet receiving dialysis. DESIGN, SETTING, PARTICIPANTS, AND MEASUREMENTS: We performed a cross-sectional analysis in 154 patients with CKD. Aortic calcification (AC) was assessed by lumbar X-ray and scored with a maximum score of 24. In addition to traditional and nontraditional cardiovascular (CV) risk factors, serum sclerostin levels were assessed (ELISA). Regression analysis was performed to identify determinants of serum sclerostin and AC. RESULTS: AC was present in 59% of patients. Older age (P < .0001), male sex (P = .006), lower estimated glomerular rate (eGFR) (P = .0008), lower bone-specific alkaline phosphatase (P = .03), and the absence of AC (P = .006) were identified as independent determinants of higher serum sclerostin levels. In univariate logistic regression, higher age, diabetes, CV history, higher body mass index, higher serum C-reactive protein and sclerostin levels and lower estimated glomerular rate were all associated with the presence of AC. In multivariate analysis, lower, not higher, sclerostin levels (P = .04, odds ratio [OR] per ng/mL of 0.24), higher age (P < .0001, OR per year of 1.17) and CV history (P = .02, OR for a positive CV history of 3.83) were identified as independent determinants of AC. CONCLUSIONS: In this cohort of patients with CKD, we found that patients with aortic calcifications (ACs) had higher sclerostin levels. However, in multivariate analysis, the association became inverse. Additional clinical and experimental studies are urgently required to clarify whether or not sclerostin protects against progression of vascular calcification.

Sclerostin: another bone-related protein related to all-cause mortality in haemodialysis?

BACKGROUND: Derangements in bone metabolism and vascular calcification (VC) substantially contribute to the accelerated cardiovascular morbidity and mortality in chronic kidney disease (CKD). The Wnt signalling pathway is increasingly recognized to play an important role in bone homeostasis and VC. Circulating levels of the Wnt inhibitor sclerostin are elevated in CKD patients. The present study investigated whether the circulating levels of sclerostin are associated with all-cause mortality in haemodialysis (HD) patients. METHODS: We performed a post-hoc survival analysis in 100 prevalent HD patients (68 ± 13 years, 40 male) recruited in 2006 who were prospectively followed for median 637 (8-1000, range) days. Parameters of mineral metabolism including bone-specific alkaline phosphatase (bsAP) and serum sclerostin were determined in spare blood samples collected at baseline. RESULTS: Serum concentrations of serum sclerostin amounted to 110 (82-151) [median (iqr)] pmol/L. Patients with sclerostin levels above median were characterized by older age, higher haemoglobin and creatinine level and lower bsAP concentration. During a median follow-up of 637 days, 31 patients died. Higher circulating sclerostin levels were associated with decreased mortality in prevalent HD patients: unadjusted hazard ratio (HR) 0.51 (0.24-1.06) (P = 0.06); HR adjusted for age and gender for serum sclerostin levels above versus below median was 0.33 (0.15-0.73) (P = 0.006). When bsAP was entered in the Cox regression analysis, it replaced sclerostin in the final model. CONCLUSIONS: Our data show that high circulating sclerostin levels are associated with improved survival and suggest that a low bsAP activity may be in the causal pathway.

Albumin is the main plasma binding protein for indoxyl sulfate and p-cresyl sulfate.

Indoxyl sulfate and p-cresyl sulfate are two uremic retention solutes implicated in the uremic syndrome. Removal during dialysis is limited, mainly due to protein binding. Binding characteristics to healthy albumin have recently been characterized. Whether uremia alters the binding characteristics of albumin is currently unknown. Moreover, protein binding values previously determined with ultrafiltration are in sharp contrast to recently reported values based on microcalorimetry. In the present study, indoxyl sulfate and p-cresyl sulfate binding were therefore quantified using both equilibrium dialysis and ultrafiltration. Deming regression demonstrated good agreement between equilibrium dialysis and ultrafiltration. Free serum concentrations of indoxyl sulfate (+26.6%) and p-cresyl sulfate (+19.7%) were slightly higher at body temperature compared with at room temperature. To investigate binding kinetics, the plasma of healthy individuals or hemodialysis patients was titrated with albumin solutions. Theoretical models of protein binding were fitted to observed titration curves. Binding coefficients of both toxins were highest in purified albumin, and were reduced from healthy to uremic plasma. In conclusion, the ultrafiltration-HPLC technique reliably measures free serum concentrations of indoxyl sulfate and p-cresyl sulfate. Albumin is the main binding protein, both in health and in advanced stages of chronic kidney disease. Modeling suggests that albumin contains two binding sites for both toxins, a single high affinity binding site and a second low affinity binding site. The high affinity binding site accounts for at least 90% of overall binding. Competition for this binding site could be used to augment free solute concentrations during dialysis, thus improving epuration.