Plasma C-Peptide and Risk of Developing Type 2 Diabetes in the General Population.

C-peptide measurement may represent a better index of pancreatic ß-cell function compared to insulin. While insulin is mainly cleared by liver, C-peptide is mainly metabolized by kidneys. The aim of our study was to evaluate the association between baseline plasma C-peptide level and the development of type 2 diabetes independent of glucose and insulin levels and to examine potential effect-modification by variables related to kidney function. We included 5176 subjects of the Prevention of Renal and Vascular End-Stage Disease study without type 2 diabetes at baseline. C-peptide was measured in plasma with an electrochemiluminescent immunoassay. Cox proportional hazards regression was used to evaluate the association between C-peptide level and type 2 diabetes development. Median C-peptide was 722 (566-935) pmol/L. During a median follow-up of 7.2 (6.0-7.7) years, 289 individuals developed type 2 diabetes. In multivariable-adjusted Cox regression models, we observed a significant positive association of C-peptide with the risk of type 2 diabetes independent of glucose and insulin levels (hazard ratio (HR): 2.35; 95% confidence interval (CI): 1.49-3.70). Moreover, we found significant effect modification by hypertension and albuminuria (p < 0.001 and p = 0.001 for interaction, respectively), with a stronger association in normotensive and normo-albuminuric subjects and absence of an association in subjects with hypertension or albuminuria. In this population-based cohort, elevated C-peptide levels are associated with an increased risk of type 2 diabetes independent of glucose, insulin levels, and clinical risk factors. Elevated C-peptide level was not independently associated with an increased risk of type 2 diabetes in individuals with hypertension or albuminuria.

Multinational Assessment of Accuracy of Equations for Predicting Risk of Kidney Failure: A Meta-analysis.

IMPORTANCE: Identifying patients at risk of chronic kidney disease (CKD) progression may facilitate more optimal nephrology care. Kidney failure risk equations, including such factors as age, sex, estimated glomerular filtration rate, and calcium and phosphate concentrations, were previously developed and validated in 2 Canadian cohorts. Validation in other regions and in CKD populations not under the care of a nephrologist is needed. OBJECTIVE: To evaluate the accuracy of the risk equations across different geographic regions and patient populations through individual participant data meta-analysis. DATA SOURCES: Thirty-one cohorts, including 721,357 participants with CKD stages 3 to 5 in more than 30 countries spanning 4 continents, were studied. These cohorts collected data from 1982 through 2014. STUDY SELECTION: Cohorts participating in the CKD Prognosis Consortium with data on end-stage renal disease. DATA EXTRACTION AND SYNTHESIS: Data were obtained and statistical analyses were performed between July 2012 and June 2015. Using the risk factors from the original risk equations, cohort-specific hazard ratios were estimated and combined using random-effects meta-analysis to form new pooled kidney failure risk equations. Original and pooled kidney failure risk equation performance was compared, and the need for regional calibration factors was assessed. MAIN OUTCOMES AND MEASURES: Kidney failure (treatment by dialysis or kidney transplant). RESULTS: During a median follow-up of 4 years of 721,357 participants with CKD, 23,829 cases kidney failure were observed. The original risk equations achieved excellent discrimination (ability to differentiate those who developed kidney failure from those who did not) across all cohorts (overall C statistic, 0.90; 95% CI, 0.89-0.92 at 2 years; C statistic at 5 years, 0.88; 95% CI, 0.86-0.90); discrimination in subgroups by age, race, and diabetes status was similar. There was no improvement with the pooled equations. Calibration (the difference between observed and predicted risk) was adequate in North American cohorts, but the original risk equations overestimated risk in some non-North American cohorts. Addition of a calibration factor that lowered the baseline risk by 32.9% at 2 years and 16.5% at 5 years improved the calibration in 12 of 15 and 10 of 13 non-North American cohorts at 2 and 5 years, respectively (P = .04 and P = .02). CONCLUSIONS AND RELEVANCE: Kidney failure risk equations developed in a Canadian population showed high discrimination and adequate calibration when validated in 31 multinational cohorts. However, in some regions the addition of a calibration factor may be necessary.

The effect of CCR2 inhibitor CCX140-B on residual albuminuria in patients with type 2 diabetes and nephropathy: a randomised trial.

BACKGROUND: Patients with type 2 diabetes and nephropathy have high cardiorenal morbidity and mortality despite optimum treatment including angiotensin-converting enzyme (ACE) inhibitors or angiotensin receptor blockers (ARBs). Residual risk is related to residual albuminuria. We assessed whether CCX140-B, a selective inhibitor of C-C chemokine receptor type 2 (CCR2), could further reduce albuminuria when given in addition to standard care, including ACE inhibitors or ARBs. METHODS: In this randomised, double-blind, placebo-controlled clinical trial, we recruited patients from 78 research centres in Belgium, Czech Republic, Germany, Hungary, Poland, and the UK. We enrolled patients with type 2 diabetes aged 18-75 years with proteinuria (first morning void urinary albumin to creatinine ratio [UACR] 100-3000 mg/g), estimated glomerular filtration rate of 25 mL/min per 1·73 m(2) or higher, and taking stable antidiabetic treatment and ACE inhibitors or ARBs, for at least 8 weeks before study entry. Patients were stratified based on baseline UACR and renal function (estimated glomerular filtration rate), and then randomly assigned (1:1:1) via an interactive web response system with a minimisation algorithm to oral placebo, 5 mg CCX140-B, or 10 mg CCX140-B once a day. The 12-week dosing period in the initial protocol was extended to 52 weeks by protocol amendment. The primary efficacy measure was change from baseline in UACR during 52 weeks in the modified intention-to-treat population (all patients with uninterrupted dosing, excluding patients who stopped dosing at week 12 either permanently under the original protocol, or temporarily because of delay in approval of the protocol amendment). We did safety analyses on all randomly assigned patients who received at least one dose of study drug. According to a prespecified analysis plan, we analysed the primary endpoint with one-sided statistical testing with calculation of upper 95% confidence limits of the differences between active and control. This trial is registered with ClinicalTrials.gov, number NCT01447147. FINDINGS: The study ran from Dec 7, 2011 (first patient enrolled), until Aug 4, 2014. We enrolled 332 patients: 111 were assigned to receive placebo, 110 to 5 mg CCX140-B, and 111 to 10 mg CCX140-B. Of these, 192 were included in the modified intention-to-treat population. UACR changes from baseline during 52 weeks were -2% for placebo (95% CI -11% to 9%), -18% for 5 mg CCX140-B (-26% to -8%), and -11% for 10 mg CCX140-B (-20% to -1%). We recorded a -16% difference between 5 mg CCX140-B and placebo (one-sided upper 95% confidence limit -5%; p=0·01) and a -10% difference between 10 mg CCX140-B and placebo (upper 95% confidence limit 2%; p=0·08). Adverse events occurred in 81 (73%) of 111 patients in the placebo group versus 71 (65%) of 110 patients in the CCX140-B 5 mg group and 68 (61%) of 111 patients in the CCX140-B 10 mg group; there were no renal events during the study. INTERPRETATION: Our data suggest that CCR2 inhibition with CCX140-B has renoprotective effects on top of current standard of care in patients with type 2 diabetes and nephropathy. FUNDING: ChemoCentryx.

Plasma proteomics classifiers improve risk prediction for renal disease in patients with hypertension or type 2 diabetes.

OBJECTIVE: Micro and macroalbuminuria are strong risk factors for progression of nephropathy in patients with hypertension or type 2 diabetes. Early detection of progression to micro and macroalbuminuria may facilitate prevention and treatment of renal diseases. We aimed to develop plasma proteomics classifiers to predict the development of micro or macroalbuminuria in hypertension or type 2 diabetes. METHODS: Patients with hypertension (n = 125) and type 2 diabetes (n = 82) were selected for this case-control study from the Prevention of REnal and Vascular ENd-stage Disease cohort and the Steno Diabetes Center. Cases transitioned from normo to microalbuminuria, or from micro to macroalbuminuria. Controls, matched for age, sex, and baseline albuminuria stage, did not transition. Follow-up was 3.0 ±â€Š0.9 years. Plasma proteomics profiles were measured by liquid chromatography-electrospray-trap mass-spectrometry. Classifiers were developed and cross-validated for prediction of transition in albuminuria stage. Improvement in risk prediction was tested on top of a reference model of baseline albuminuria, estimated glomerular filtration rate, and renin-angiotensin-aldosterone system intervention. RESULTS: In hypertensive patients, the classifier improved risk prediction for transition in albuminuria stage on top of the reference model (C-index from 0.69 to 0.78; P < 0.01). In type 2 diabetes, the classifier improved risk prediction for transition from micro to macroalbuminuria (C-index from 0.73 to 0.80; P = 0.04). In both diseases, the identified peptides were linked to pathways recognized to contribute to nephropathy, including fibrosis, inflammation, angiogenesis, and mineral metabolism. CONCLUSIONS: Plasma proteomics predict the transition in albuminuria stage beyond established renal risk markers in hypertension or type 2 diabetes. External validation is needed to assess reproducibility.

Pleiotropic effects of type 2 diabetes management strategies on renal risk factors.

In parallel with the type 2 diabetes pandemic, diabetic kidney disease has become the leading cause of end-stage renal disease worldwide, and is associated with high cardiovascular morbidity and mortality. As established in landmark randomised trials and recommended in clinical guidelines, prevention and treatment of diabetic kidney disease focuses on control of the two main renal risk factors, hyperglycaemia and systemic hypertension. Treatment of systemic hypertension with angiotensin-converting enzyme inhibitors or angiotensin-receptor blockers is advocated because these drugs seem to exert specific renoprotective effects beyond blood pressure lowering. Emerging evidence shows that obesity, glomerular hyperfiltration, albuminuria, and dyslipidaemia might also adversely affect the kidney in diabetes. Control of these risk factors could have additional benefits on renal outcome in patients with type 2 diabetes. However, despite multifactorial treatment approaches, residual risk for the development and progression of diabetic kidney disease in patients with type 2 diabetes remains, and novel strategies or therapies to treat the disease are urgently needed. Several drugs used in the treatment of type 2 diabetes are associated with pleiotropic effects that could favourably or unfavourably change patients' renal risk profile. We review the risk factors and treatment of diabetic kidney disease, and describe the pleiotropic effects of widely used drugs in type 2 diabetes management on renal outcomes, with special emphasis on antihyperglycaemic drugs.

Renal end points in clinical trials of kidney disease.

PURPOSE OF REVIEW: End-stage renal disease and doubling of serum creatinine are established hard end points in clinical trials of chronic kidney disease (CKD). These end points are debated, as their accuracy and precision may not be optimal, and as they are late events in the progression of CKD, thereby requiring large and complex trials. The purpose of this review is to examine the validity of the currently used established renal end point by comparing the end-stage renal disease part, involving renal replacement therapies (RRTs) (dialysis or renal transplantation), and the glomerular filtration-based end points involving the doubling of serum creatinine. RECENT FINDINGS: Emerging data demonstrate that the RRT decision depends not only on serum creatinine but also on a range of subjective factors involving a patient's well-being, availability of RRTs, or local guidelines. Thus, initiation of RRT is not representative of (estimated) glomerular filtration rate [(e)GFR] decline alone. In contrast, a doubling of serum creatinine reflects a sustained loss in a patient's starting GFR. The disadvantage of an end point based on a filtration marker is that many drugs exert opposite effects on the GFR. Initially, they cause a reduction in GFR followed by a stabilization of GFR decline. This ambiguous pattern complicates the interpretation of the drug effect, in particular when the end point is based on lesser declines in GFR, such as a 30% or 40% decline. SUMMARY: The currently used end points in CKD trials reflect different functions of the kidney. In the future, we have to establish whether we want to characterize the effect of a novel drug on a renal filtration marker alone, on a combination of parameters involving a patient's well-being, or on a composite of these.

Renal effects of atorvastatin and rosuvastatin in patients with diabetes who have progressive renal disease (PLANET I): a randomised clinical trial.

BACKGROUND: The role of lipid-lowering treatments in renoprotection for patients with diabetes is debated. We studied the renal effects of two statins in patients with diabetes who had proteinuria. METHODS: PLANET I was a randomised, double-blind, parallel-group trial done in 147 research centres in Argentina, Brazil, Bulgaria, Canada, Denmark, France, Hungary, Italy, Mexico, Romania, and the USA. We enrolled patients with type 1 or type 2 diabetes aged 18 years or older with proteinuria (urine protein:creatinine ratio [UPCR] 500-5000 mg/g) and taking stable angiotensin-converting enzyme inhibitors, angiotensin receptor blockers, or both. We randomly assigned participants to atorvastatin 80 mg, rosuvastatin 10 mg, or rosuvastatin 40 mg for 52 weeks. The primary endpoint was change from baseline to week 52 of mean UPCR in each treatment group. The study is registered with ClinicalTrials.gov, number NCT00296374. FINDINGS: We enrolled 353 patients: 118 were assigned to rosuvastatin 10 mg, 124 to rosuvastatin 40 mg, and 111 to atorvastatin 80 mg; of these, 325 were included in the intention-to-treat population. UPCR baseline:week 52 ratio was 0·87 (95% CI 0·77-0·99; p=0·033) with atorvastatin 80 mg, 1·02 (0·88-1·18; p=0·83) with rosuvastatin 10 mg, and 0·96 (0·83-1·11; p=0·53) with rosuvastatin 40 mg. In a post-hoc analysis to compare statins, we combined data from PLANET I with those from PLANET II (a similar randomised parallel study of 237 patients with proteinuria but without diabetes; registered with ClinicalTrials.gov, NCT00296400). In this analysis, atorvastatin 80 mg lowered UPCR significantly more than did rosuvastatin 10 mg (-15·6%, 95% CI -28·3 to -0·5; p=0·043) and rosuvastatin 40 mg (-18·2%, -30·2 to -4·2; p=0·013). Adverse events occurred in 69 (60%) of 116 patients in the rosuvastatin 10 mg group versus 79 (64%) of 123 patients in the rosuvastatin 40 mg group versus 63 (57%) of 110 patients in the atorvastatin 80 mg group; renal events occurred in nine (7·8%) versus 12 (9·8%) versus five (4·5%). INTERPRETATION: Despite high-dose rosuvastatin lowering plasma lipid concentrations to a greater extent than did high-dose atorvastatin, atorvastatin seems to have more renoprotective effects for the studied chronic kidney disease population. FUNDING: AstraZeneca.

Number and frequency of albuminuria measurements in clinical trials in diabetic nephropathy.

BACKGROUND AND OBJECTIVES: Albuminuria change is often used to assess drug efficacy in intervention trials in nephrology. The change is often calculated using a variable number of urine samples collected at baseline and end of treatment. Yet more albuminuria measurements usually occur. Because albuminuria shows a large day-to-day variability, this study assessed to what extent the average and the precision of the antialbuminuric drug effect varies with the number of urine collections at each visit and the number of follow-up visits. DESIGN, SETTING, PARTICIPANTS, & MEASUREMENTS: This study used data from three randomized intervention trials (Aliskiren Combined with Losartan in Type 2 Diabetes and Nephropathy, Selective Vitamin D Receptor Activation for Albuminuria Lowering, and Residual Albuminuria Lowering with Endothelin Antagonist Atrasentan) including patients with type 2 diabetes and macroalbuminuria. Albuminuria-lowering drug effects were estimated from one, two, or three urine collections at consecutive days before each study visit and reported as albuminuria change from baseline to end of treatment or the change over time considering an average of all follow-up albuminuria measurements. RESULTS: Increasing the number of urine collections for an albuminuria measurement at baseline and end of treatment or using all study visits during follow-up did not alter the average drug effect. The precision of the drug effect increased (decreased SEM) when the number of study visits and the number of urine collections per visit were increased. Using all albuminuria measurements at all study visits led to a 4- to 6-fold reduction in sample size to detect a 30% albuminuria-lowering treatment effect with 80% power compared with using baseline and end-of-treatment albuminuria measurements alone. CONCLUSIONS: Increasing the number of urine collections per study visit and the number of visits over time does not change the average drug effect estimate but markedly increases the precision, thereby enhancing statistical power. Thus, clinical trial designs in diabetic nephropathy using albuminuria as an end point can be significantly improved, leading to smaller sample sizes and less complex trials.

Drug-Induced Reduction in Albuminuria Is Associated with Subsequent Renoprotection: A Meta-Analysis.

Albuminuria has been proposed as a surrogate end point in randomized clinical trials of renal disease progression. Most evidence comes from observational analyses showing that treatment-induced short-term changes in albuminuria correlate with risk change for ESRD. However, such studies are prone to selection bias and residual confounding. To minimize this bias, we performed a meta-analysis of clinical trials to correlate the placebo-corrected drug effect on albuminuria and ESRD to more reliably delineate the association between changes in albuminuria and ESRD. MEDLINE and EMBASE were searched for clinical trials reported between 1950 and April 2014. Included trials had a mean follow-up of ≥1000 patient-years, reported ESRD outcomes, and measured albuminuria at baseline and during follow-up. Twenty-one clinical trials involving 78,342 patients and 4183 ESRD events were included. Median time to first albuminuria measurement was 6 months. Fourteen trials tested the effect of renin-angiotensin-aldosterone-system inhibitors and seven trials tested other interventions. We observed variability across trials in the treatment effect on albuminuria (range, -1.3% to -32.1%) and ESRD (range, -55% to +35% risk change). Meta-regression analysis revealed that the placebo-adjusted treatment effect on albuminuria significantly correlated with the treatment effect on ESRD: for each 30% reduction in albuminuria, the risk of ESRD decreased by 23.7% (95% confidence interval, 11.4% to 34.2%; P=0.001). The association was consistent regardless of drug class (P=0.73) or other patient or trial characteristics. These findings suggest albuminuria may be a valid substitute for ESRD in many circumstances, even taking into account possible other drug-specific effects that may alter renal outcomes.

Relevance of correction for drift and day-to-day variation in cystatin C measurement: a post-hoc analysis of the PREVEND cohort, with independent replication in the ESTHER cohort.

BACKGROUND: Despite standard laboratory quality control, drift and day-to-day variability in cystatin C measurements can be observed. We investigated whether correction for drift and day-to-day variation in cystatin C measurements improves the association of estimated glomerular filtration rate (eGFR) with chronic kidney disease (CKD) risk factors and prognosis. METHODS: Plasma samples of the PREVEND study (Dutch cohort study, n=8592) were used to measure cystatin C (Gentian assay) on 243 random days. A correction factor was calculated for each measurement day. GFR was estimated with CKD-EPI equation using routinely measured cystatin C (eGFRcysC) and corrected cystatin C (eGFRcysC corr). Participants were categorized in six categories of eGFRcysC and eGFRcysC corr: ≥120, 90-119, 75-89, 60-74, 45-59 and <45 mL/min/1.73m2. Independent replication was performed in the ESTHER study (German cohort study, n=9949). RESULTS: Compared to non-reclassified participants, participants re-classified upward had significantly lower age, body mass index, blood pressure, cholesterol, glucose and albuminuria, whereas the opposite was true for participants reclassified downward. CKD risk factors explained more variance in eGFRcysC corr than in eGFRcysC (p<0.001). Compared to non-reclassified participants, risk of incident cardiovascular events (n=789, follow-up 9.3±2.7 years) tended to be higher in downward reclassified and lower in upward reclassified participants. Net reclassification improvement for incident cardiovascular events using eGFRcysC corr was positive (0.102, p=0.019). The ESTHER study showed similar results. CONCLUSIONS: Correction for drift and day-to-day variation in cystatin C measurement improves eGFR using cystatin C for its association with CKD risk factors and incident cardiovascular events.

Association of vitamin D status with arterial blood pressure and hypertension risk: a mendelian randomisation study.

BACKGROUND: Low plasma 25-hydroxyvitamin D (25[OH]D) concentration is associated with high arterial blood pressure and hypertension risk, but whether this association is causal is unknown. We used a mendelian randomisation approach to test whether 25(OH)D concentration is causally associated with blood pressure and hypertension risk. METHODS: In this mendelian randomisation study, we generated an allele score (25[OH]D synthesis score) based on variants of genes that affect 25(OH)D synthesis or substrate availability (CYP2R1 and DHCR7), which we used as a proxy for 25(OH)D concentration. We meta-analysed data for up to 108 173 individuals from 35 studies in the D-CarDia collaboration to investigate associations between the allele score and blood pressure measurements. We complemented these analyses with previously published summary statistics from the International Consortium on Blood Pressure (ICBP), the Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) consortium, and the Global Blood Pressure Genetics (Global BPGen) consortium. FINDINGS: In phenotypic analyses (up to n=49 363), increased 25(OH)D concentration was associated with decreased systolic blood pressure (ß per 10% increase, -0·12 mm Hg, 95% CI -0·20 to -0·04; p=0·003) and reduced odds of hypertension (odds ratio [OR] 0·98, 95% CI 0·97-0·99; p=0·0003), but not with decreased diastolic blood pressure (ß per 10% increase, -0·02 mm Hg, -0·08 to 0·03; p=0·37). In meta-analyses in which we combined data from D-CarDia and the ICBP (n=146 581, after exclusion of overlapping studies), each 25(OH)D-increasing allele of the synthesis score was associated with a change of -0·10 mm Hg in systolic blood pressure (-0·21 to -0·0001; p=0·0498) and a change of -0·08 mm Hg in diastolic blood pressure (-0·15 to -0·02; p=0·01). When D-CarDia and consortia data for hypertension were meta-analysed together (n=142 255), the synthesis score was associated with a reduced odds of hypertension (OR per allele, 0·98, 0·96-0·99; p=0·001). In instrumental variable analysis, each 10% increase in genetically instrumented 25(OH)D concentration was associated with a change of -0·29 mm Hg in diastolic blood pressure (-0·52 to -0·07; p=0·01), a change of -0·37 mm Hg in systolic blood pressure (-0·73 to 0·003; p=0·052), and an 8·1% decreased odds of hypertension (OR 0·92, 0·87-0·97; p=0·002). INTERPRETATION: Increased plasma concentrations of 25(OH)D might reduce the risk of hypertension. This finding warrants further investigation in an independent, similarly powered study. FUNDING: British Heart Foundation, UK Medical Research Council, and Academy of Finland.

Improving clinical trial efficiency by biomarker-guided patient selection.

BACKGROUND: In many therapeutic areas, individual patient markers have been identified that are associated with differential treatment response. These markers include both baseline characteristics, as well as short-term changes following treatment. Using such predictive markers to select subjects for inclusion in randomized clinical trials could potentially result in more targeted studies and reduce the number of subjects to recruit. METHODS: This study compared three trial designs on the sample size needed to establish treatment efficacy across a range of realistic scenarios. A conventional parallel group design served as the point of reference, while the alternative designs selected subjects on either a baseline characteristic or an early improvement after a short active run-in phase. Data were generated using a model that characterized the effect of treatment on survival as a combination of a primary effect, an interaction with a baseline marker and/or an early marker improvement. A representative scenario derived from empirical data was also evaluated. RESULTS: Simulations showed that an active run-in design could substantially reduce the number of subjects to recruit when improvement during active run-in was a reliable predictor of differential treatment response. In this case, the baseline selection design was also more efficient than the parallel group design, but less efficient than the active run-in design with an equally restricted population. For most scenarios, however, the advantage of the baseline selection design was limited. CONCLUSIONS: An active run-in design could substantially reduce the number of subjects to recruit in a randomized clinical trial. However, just as with the baseline selection design, generalizability of results may be limited and implementation could be difficult.

The effect of ramipril and telmisartan on serum potassium and its association with cardiovascular and renal events: results from the ONTARGET trial.

AIMS: In the Ongoing Telmisartan Alone and in Combination with Ramipril Trial (ONTARGET), dual agent renin-angiotensin-aldosterone system (RAAS) blockade with angiotensin-converting-enzyme inhibitors (ACEIs) and angiotensin receptor blockers (ARBs) did not reduce the risk of renal and cardiovascular outcomes compared with the single use of either agent. Dual therapy however increased the incidence of hyperkalemia. We examined risk factors for hyper- and hyokalemia and hypothesized that both would be associated with worse cardiovascular and renal outcomes. METHODS: A post-hoc analysis of the ONTARGET trial comparing dual therapy (ramipril and telmisartan) vs monotherapy (ramipril or telmisartan) was performed. The association between serum potassium at week 6 on cardiovascular and renal outcomes during the 56 months follow-up was assessed by multivariate Cox analysis. The main cardiovascular outcome was the composite of cardiovascular death, myocardial infarction, stroke, or hospitalization for heart failure. The renal outcome was defined as the composite of a doubling of serum creatinine or chronic dialysis. RESULTS: Six weeks after randomization, hyperkalemia developed in 210 (2.7%) patients on dual therapy vs. 264 (1.6%) patients on monotherapy (p < 0.001 vs. dual therapy). Hypokalemia developed in 87 (1.1%) patients on dual therapy vs. 200 (1.2%)patients on monotherapy. Serum potassium was nonlinearly associated with cardiovascular and renal events with a nadir between 4.0-5.0 mmol/l for cardiovascular and 4.0-4.5 mmol/l for renal events such that subjects above or below these values exhibited higher risks. This association was independent of age, gender, diabetes, estimated glomerular filtration rate, systolic blood pressure and diuretic use. CONCLUSIONS: With the precautions stipulated by the protocol of the ONTARGET trial, hypokalemia and hyperkalemia were infrequent events. Nevertheless, both high and low serum potassium were associated with an increased risk of cardiovascular and renal disease.

The effect of RAAS blockade on the progression of diabetic nephropathy.

The renin-angiotensin-aldosterone system (RAAS) has a key role in the regulation of blood pressure, sodium and water balance, and cardiovascular and renal homeostasis. In diabetic nephropathy, excessive activation of the RAAS results in progressive renal damage. RAAS blockade using angiotensin-converting-enzyme inhibitors or angiotensin-receptor blockers is the cornerstone of treatment of diabetic renal disease. Alternative RAAS-blockade strategies include renin inhibition and aldosterone blockade. Data from small initial studies of these agents are promising. However, single-agent interventions do not fully block the RAAS and patients treated with these therapies remain at high residual renal risk. Approaches to optimize drug responses include dietary changes and increasing dosages. The theoretically attractive option of combining different RAAS interventions has also been tested in clinical trials but long-term outcomes were disappointing. However, dual RAAS blockade might represent a good therapeutic option for specific patients. A better knowledge of the pathophysiology of the RAAS is crucial to fully understand the mechanisms of action of RAAS blockers and to exploit their renoprotective effects. Moreover, lifestyle interventions or diagnostic tools might be used to optimize RAAS blockade and identify those patients who are most likely to benefit from the therapy.

Chronic kidney disease and cardiovascular risk: epidemiology, mechanisms, and prevention.

Since the first description of the association between chronic kidney disease and heart disease, many epidemiological studies have confirmed and extended this finding. As chronic kidney disease progresses, kidney-specific risk factors for cardiovascular events and disease come into play. As a result, the risk for cardiovascular disease is notably increased in individuals with chronic kidney disease. When adjusted for traditional cardiovascular risk factors, impaired kidney function and raised concentrations of albumin in urine increase the risk of cardiovascular disease by two to four times. Yet, cardiovascular disease is frequently underdiagnosed and undertreated in patients with chronic kidney disease. This group of patients should, therefore, be acknowledged as having high cardiovascular risk that needs particular medical attention at an individual level. This view should be incorporated in the development of guidelines and when defining research priorities. Here, we discuss the epidemiology and pathophysiological mechanisms of cardiovascular risk in patients with chronic kidney disease, and discuss methods of prevention.

Associations of kidney disease measures with mortality and end-stage renal disease in individuals with and without diabetes: a meta-analysis.

BACKGROUND: Chronic kidney disease is characterised by low estimated glomerular filtration rate (eGFR) and high albuminuria, and is associated with adverse outcomes. Whether these risks are modified by diabetes is unknown. METHODS: We did a meta-analysis of studies selected according to Chronic Kidney Disease Prognosis Consortium criteria. Data transfer and analyses were done between March, 2011, and June, 2012. We used Cox proportional hazards models to estimate the hazard ratios (HR) of mortality and end-stage renal disease (ESRD) associated with eGFR and albuminuria in individuals with and without diabetes. FINDINGS: We analysed data for 1,024,977 participants (128,505 with diabetes) from 30 general population and high-risk cardiovascular cohorts and 13 chronic kidney disease cohorts. In the combined general population and high-risk cohorts with data for all-cause mortality, 75,306 deaths occurred during a mean follow-up of 8·5 years (SD 5·0). In the 23 studies with data for cardiovascular mortality, 21,237 deaths occurred from cardiovascular disease during a mean follow-up of 9·2 years (SD 4·9). In the general and high-risk cohorts, mortality risks were 1·2-1·9 times higher for participants with diabetes than for those without diabetes across the ranges of eGFR and albumin-to-creatinine ratio (ACR). With fixed eGFR and ACR reference points in the diabetes and no diabetes groups, HR of mortality outcomes according to lower eGFR and higher ACR were much the same in participants with and without diabetes (eg, for all-cause mortality at eGFR 45 mL/min per 1·73 m(2) [vs 95 mL/min per 1·73 m(2)], HR 1·35; 95% CI 1·18-1·55; vs 1·33; 1·19-1·48 and at ACR 30 mg/g [vs 5 mg/g], 1·50; 1·35-1·65 vs 1·52; 1·38-1·67). The overall interactions were not significant. We identified much the same findings for ESRD in the chronic kidney disease cohorts. INTERPRETATION: Despite higher risks for mortality and ESRD in diabetes, the relative risks of these outcomes by eGFR and ACR are much the same irrespective of the presence or absence of diabetes, emphasising the importance of kidney disease as a predictor of clinical outcomes. FUNDING: US National Kidney Foundation.

Influence of urine creatinine on the relationship between the albumin-to-creatinine ratio and cardiovascular events.

BACKGROUND AND OBJECTIVES: In the albumin-to-creatinine ratio (spot-ACR), urine creatinine corrects for tonicity but also reflects muscle mass. Low muscle mass is associated with cardiovascular disease (CVD). We hypothesized that the spot-ACR would be higher in women, lower-weight persons, and older individuals, independent of timed urine albumin excretion (24hr-UAE), and accordingly, that spot-ACR would be more strongly associated with CVD events than 24hr-UAE in these subgroups. DESIGN, SETTING, PARTICIPANTS, & METHODS: 2627 PREVEND (Prevention of Renal and Vascular End-stage Disease) participants with 24hr-UAE <30 mg/d were followed for CVD events for 11 years. Cox regression evaluated associations of spot-ACR and 24hr-UAE with CVD events by sex, weight, and age. RESULTS: Female sex (26%), lower weight (2% per 5 kg), and older age (4% per 5 years) were associated with higher spot-ACR independent of 24hr-UAE (P<0.001). Spot urine albumin concentration (hazard ratio [HR], 1.26 per ln-SD higher) and 1/spot urine creatinine concentration (HR, 1.16 per ln-SD higher) were associated with CVD events. Spot-ACR was more strongly associated with CVD events than either component of the ratio (HR, 1.41 per ln-SD higher). Associations of spot-ACR ≥10 mg/g versus less (HR, 2.33) and 24hr-UAE ≥10 mg/d versus less (HR, 2.09) with CVD events were similar, and there were no significant differences across subgroups (P for interactions >0.06). CONCLUSIONS: In community-living individuals with 24hr-UAE <30 mg/d, spot-ACR is higher in women, older persons, and lower-weight persons, independent of 24hr-UAE. Low spot urine creatinine is associated with CVD risk, but high urine albumin is a stronger determinant of the association of spot-ACR with CVD than is low urine creatinine.

Performance of MDRD study and CKD-EPI equations for long-term follow-up of nondiabetic patients with chronic kidney disease.

BACKGROUND: Chronic kidney disease (CKD) typically extends over decades. Longitudinal monitoring of kidney function in CKD is thus of great importance. Here, we retrospectively evaluate use of the Modification of Diet in Renal Disease (MDRD) study and Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) equations to monitor long-term course of kidney function and to identify individuals with progressive kidney function loss. METHODS: Patients were selected from our outpatient clinic for having four glomerular filtration rate measurements (mGFR, (125)I-iothalamate) and at least ≥ 4 years of follow-up. Renal function slopes were obtained by within-individual linear regression. RESULTS: Sixty-five nondiabetic CKD patients (40 male, mean baseline age 44 ± 12 years) with a median (range) of 9 (4-16) mGFR measurements and a median follow-up of 11 (4-33) years were included. Both equations significantly underestimated mGFR/(BSA) at baseline and at the end of follow-up. mGFR slope was significantly underestimated by the MDRD study but not by CKD-EPI equation (slopes -1.41 ± 2.06, -1.07 ± 1.72 and -1.39 ± 1.77 mL/min/1.73 m(2)/year, respectively). Sensitivity and specificity to identify progressive kidney function loss (mGFR/(BSA) slope > 1.5 mL/min/1.73 m(2)/ year, n = 23) were 78 and 88% for the MDRD study and 91 and 80% for CKD-EPI equation. In the subgroup of progressors, both MDRD study and CKD-EPI equation underestimated the rate of mGFR loss (P < 0.05) CONCLUSIONS: Long-term course of mGFR is reasonably well estimated by CKD-EPI and slightly underestimated by MDRD study equation. Patients with progressive kidney function loss may, however, not be reliably identified, so caution is warranted when using these equations in clinical practice.