Association between markers of glycemic control, cardiovascular complications and survival in type 2 diabetic patients with end-stage renal disease

Accuracy of Continuous Glucose Monitoring in an Insulin-Treated Population Requiring Haemodialysis

BACKGROUND

Continuous glucose monitoring (CGM) is revolutionizing diabetes care by giving both patients and the healthcare professionals unprecedented insights into glucose variability and patterns. It is established in National Institute for Health and Care Excellence (NICE) guidance as a standard of care for type 1 diabetes and diabetes in pregnancy under certain conditions. Diabetes mellitus (DM) is recognized as an important risk factor for chronic kidney disease (CKD). Around a third of patients receiving in-center haemodialysis as renal replacement therapy (RRT) have diabetes, either as a direct cause of renal failure or as an additional co-morbidity. Evidence of poor compliance with the current standard of care (self-monitoring of blood glucose [SMBG]) and overall greater morbidity and mortality, suggests this patient population as an ideal target group for CGM. However, there exists no strong published evidence showing the validity of CGM devices in insulin-treated diabetes patients requiring haemodialysis.

METHODS

We applied a Freestyle Libre Pro sensor to 69 insulin-treated diabetes haemodialysis (HD) patients on a dialysis day. Interstitial glucose levels were obtained, and time matched within 7 minutes to capillary blood glucose testing and any plasma blood glucose levels sent. Data cleansing techniques were applied to account for rapidly correcting hypoglycaemia and poor SMBG technique.

RESULTS

Clarke-error grid analysis showed 97.9% of glucose values in an acceptable range of agreement (97.3% on dialysis days and 99.1% on non-dialysis days).

CONCLUSIONS

We conclude that the Freestyle Libre sensor is accurate in measuring glucose levels when compared to glucose as measured by capillary SMBG testing and laboratory obtained serum glucose in patients on HD.

Glycemic Control and Adverse Clinical Outcomes in Patients with Chronic Kidney Disease and Type 2 Diabetes Mellitus: Results from KNOW-CKD

BACKGRUOUND

The optimal level of glycosylated hemoglobin (HbA1c) to prevent adverse clinical outcomes is unknown in patients with chronic kidney disease (CKD) and type 2 diabetes mellitus (T2DM).

METHODS

We analyzed 707 patients with CKD G1-G5 without kidney replacement therapy and T2DM from the KoreaN Cohort Study for Outcome in Patients With Chronic Kidney Disease (KNOW-CKD), a nationwide prospective cohort study. The main predictor was time-varying HbA1c level at each visit. The primary outcome was a composite of development of major adverse cardiovascular events (MACEs) or all-cause mortality. Secondary outcomes included the individual endpoint of MACEs, all-cause mortality, and CKD progression. CKD progression was defined as a ≥50% decline in the estimated glomerular filtration rate from baseline or the onset of end-stage kidney disease.

RESULTS

During a median follow-up of 4.8 years, the primary outcome occurred in 129 (18.2%) patients. In time-varying Cox model, the adjusted hazard ratios (aHRs) for the primary outcome were 1.59 (95% confidence interval [CI], 1.01 to 2.49) and 1.99 (95% CI, 1.24 to 3.19) for HbA1c levels of 7.0%-7.9% and ≥8.0%, respectively, compared with <7.0%. Additional analysis of baseline HbA1c levels yielded a similar graded association. In secondary outcome analyses, the aHRs for the corresponding HbA1c categories were 2.17 (95% CI, 1.20 to 3.95) and 2.26 (95% CI, 1.17 to 4.37) for MACE, and 1.36 (95% CI, 0.68 to 2.72) and 2.08 (95% CI, 1.06 to 4.05) for all-cause mortality. However, the risk of CKD progression did not differ between the three groups.

CONCLUSION

This study showed that higher HbA1c levels were associated with an increased risk of MACE and mortality in patients with CKD and T2DM.

Research Progress on the Positive and Negative Regulatory Effects of Rhein on the Kidney: A Review of Its Molecular Targets

Currently, both acute kidney injury (AKI) and chronic kidney disease (CKD) are considered to be the leading public health problems with gradually increasing incidence rates around the world. Rhein is a monomeric component of anthraquinone isolated from rhubarb, a traditional Chinese medicine. It has anti-inflammation, anti-oxidation, anti-apoptosis, anti-bacterial and other pharmacological activities, as well as a renal protective effects. Rhein exerts its nephroprotective effects mainly through decreasing hypoglycemic and hypolipidemic, playing anti-inflammatory, antioxidant and anti-fibrotic effects and regulating drug-transporters. However, the latest studies show that rhein also has potential kidney toxicity in case of large dosages and long use times. The present review highlights rhein's molecular targets and its different effects on the kidney based on the available literature and clarifies that rhein regulates the function of the kidney in a positive and negative way. It will be helpful to conduct further studies on how to make full use of rhein in the kidney and to avoid kidney damage so as to make it an effective kidney protection drug.

Serum glycated albumin predicts all-cause mortality in dialysis patients with diabetes mellitus: meta-analysis and systematic review of a predictive biomarker

BACKGROUND AND AIM

HbA1c, the traditional and current gold standard biomarker guiding diabetic management, has been scrutinized for low predictive value for patients with chronic kidney disease due to variables affecting erythrocyte number and turnover. Glycated albumin, the precursor to advanced glycation end products, reflects glycemic status over the preceding 2-3 week period and already outperforms HbA1c for glycemic monitoring. Our aim was to establish whether serum GA can be further used to predict mortality risk in dialysis patients with diabetes mellitus (DM) METHODS: We did systematic review of the literature in PubMed/Medline, Web of Science, Embase (Elsevier) and the Cochrane Central Register of Controlled Trials (Wiley) up to and including February 2020.

RESULTS

This meta-analysis included 25,932 dialysis patients across 12 studies with maximum follow-up of 11 years. Higher GA levels were associated with the risk of all-cause mortality in dialysis patients with DM (HR 1.02, 95% CI 1.01 to 1.03, P < 0.001) irrespective of the type of dialysis, whereas higher GA was not associated with cardiovascular mortality (HR 1.03, 95% CI 0.99 to 1.06, P = 0.15) and cardiovascular events (both fatal and non-fatal) (HR 1.03, 95% CI 0.97 to 1.09, P = 0.31) in dialysis patients with DM.

CONCLUSION

Serum glycated albumin predicts all-cause mortality risk in dialysis patients with DM. The endpoints of cardiovascular mortality and cardiovascular events trended similarly, but did not reach significance at the current sample size.

Diabetes mellitus in chronic kidney disease: Biomarkers beyond HbA1c to estimate glycemic control and diabetes-dependent morbidity and mortality

Diabetes mellitus (DM) is the leading cause of chronic kidney disease (CKD). Optimal glycemic control contributes to improved outcomes in patients with DM, particularly for microvascular damage, but blood glucose levels are too variable to provide an accurate assessment and instead markers averaging long-term glycemic load are used. The most established glycemic biomarker of long-term glycemic control is HbA1c. Nevertheless, HbA1c has pitfalls that limit its accuracy to estimate glycemic control, including the presence of altered red blood cell survival, hemoglobin glycation and suboptimal performance of HbA1c assays. Alternative methods to evaluate glycemic control in patients with DM include glycated albumin, fructosamine, 1-5 anhydroglucitol, continuous glucose measurement, self-monitoring of blood glucose and random blood glucose concentration measurements. Accordingly, our aim was to review the advantages and pitfalls of these methods in the context of CKD.

Determination of serum glycated albumin and high sensitivity C - reactive protein in the insight of cardiovascular complications in diabetic chronic kidney disease patients

BACKGROUND

Left ventricular hypertrophy (LVH) has been proved as one among the cardiovascular complications and predominant in patients with CKD. In CKD patients, Glycated albumin (GA) express a superior marker of glycemic control than HbA1c. Nevertheless, the precision of GA for the prediction of cardiovascular diseases among the CKD population has been ineffectively reported. The present study looks at the part of GA, HbA1c in CKD to envisage vascular complications.

MATERIALS AND METHODS

One hundred and ninety-four patients were selected in the present study. The study has a control group (Group I, N: 52) and participants were divided into two groups based on vein diseases (Group II, N: 42; two vessels and group III, N: 100; triple vessel disease). Serum glycated albumin, hsCRP and other routine parameters were estimated in all the three groups. 2-dimensional echocardiography (2D Echo) has been done by a cardiologist to all the study patients for assessing ejection fraction and distinguish the sort of vessel diseases.

RESULTS

Group I compared with group II and III shown there was a significant association among blood glucose, serum creatinine, HbA1c, mean blood glucose, GA, ejection fraction and hsCRP. Additionally, observed that increased levels of HbA1c, GA and creatinine inversely related to the left ventricle ejection fraction. Notwithstanding, GA and hsCRP predict precisely the left ventricle ejection fraction than different parameters.

CONCLUSION

GA alongside hsCRP might be appropriate markers for anticipating cardiovascular diseases particularly left ventricle hypertrophy in diabetic CKD population.

[Glycemic control in patients with diabetes mellitus on hemodialysis]

Achievement of stabilization of carbohydrate metabolism in patients with diabetes mellitus, receiving renal replacement therapy with hemodialysis, is a significant problem in endocrinology. It has to do with multiple factors of this cohort of patients, which affect the level of glycemia, pharmacokinetic of drugs, the efficiency of glycemic control. At the moment, the most efficiency method of glycemic control in patients with type 2 diabetes mellitus on hemodialysis is insulin therapy in the basis - bolus regime by analogues of human insulin. The use of oral hypoglycemic agents is significantly limited. The hemoglobin A1c (HbA1c) remains the main parameter of glycemic control. The simultaneous use of continuous glucose monitoring allows to reveal the true level of glucose of the blood and to carry out the timely correction of therapy in order to achieve targets for glycemic control and to decrease the risk of hypoglycemic episodes. At the moment other glycemic control markers such as glycated albumin and fructosamine are described. However, in routine practice at the moment these indicators are not used due to the lack of sufficient evidentiary base of their use in this cohort of patients.

Glycemic control and survival in peritoneal dialysis patients with diabetes: A 2-year nationwide cohort study

For glycemic control in patients with diabetes on peritoneal dialysis (PD), the level of glycated albumin (GA) associated with mortality is unclear. Accordingly, we examined the difference in the association of GA and glycated hemoglobin (HbA1c) with 2-year mortality in a Japanese Society for Dialysis Therapy cohort. We examined 1601 patients with prevalent diabetes who were on PD. Of these, 1282 had HbA1c (HbA1c cohort) and 725 had GA (GA cohort) measured. We followed them for 2 years from 2013 to 2015 and used Cox regression to calculate adjusted hazard ratios (HRs) and 95% confidence intervals (CIs) for 2-year mortality after adjusting for potential confounders in each cohort. No significant association was found between HbA1c levels and all-cause death HRs before and after adjustment for confounders in the HbA1c cohort. In contrast, the adjusted all-cause death HRs and 95% CIs for GAs < 12.0%, 12.0–13.9%, 16.0–17.9%, 18.0–19.9%, 20.0–21.9%, and ≥22.0%, compared with 14.0–15.9% (reference), were 1.56 (0.32–7.45), 1.24 (0.32–4.83), 1.32 (0.36–4.77), 2.02 (0.54–7.53), 4.36 (1.10–17.0), and 4.10 (1.20–14.0), respectively. In the GA cohort, GA ≥ 20.0% was significantly associated with a higher death HR compared with the reference GA. Thus, GA ≥ 20.0% appears to be associated with a decrease in survival in diabetic patients on PD. There were no associations between HbA1c levels and 2-year mortality in PD patients.

The clinical usefulness of glycated albumin in patients with diabetes and chronic kidney disease: Progress and challenges

Prolonged hyperglycemia leads to a non-enzymatic glycation of proteins, and produces Amadori products, such as glycated albumin (GA) and glycated hemoglobin (HbA1c). The utility of HbA1c in the setting of chronic kidney disease (CKD) may be problematic since altered lifespan of red blood cells, use of iron and/or erythropoietin therapy, uremia and so on. Therefore, as an alternative marker, GA has been suggested as a more reliable and sensitive glycemic index in patients with CKD. In addition to the mean plasma glucose concentration, GA also reflects postprandial plasma glucose and glycemic excursion. Besides, with a half-life of approximately 2-3 weeks, GA may reflect the status of blood glucose more rapidly than HbA1c. GA is also an early precursor of advanced glycation end products (AGEs), which cause alterations in various cellular proteins and organelles. Thus, high GA levels may correlate with adverse outcomes of patients with CKD. In this review, the clinical usefulness of GA was discussed, including a comparison of GA with HbA1c, the utility and limitations of GA as a glycemic index, its potential role in pathogenesis of diabetic nephropathy and the correlations between GA levels and outcomes, specifically in patients with diabetes and CKD.

Rate of the "burnt-out diabetes" phenomenon in patients on peritoneal dialysis

AIMS

In some diabetes patients on dialysis, glycemic control improves spontaneously, leading to normal HbA1c levels; this phenomenon is known as "burnt-out diabetes." Glycated albumin (GA) might be a better indicator of glycemic control than HbA1c in hemodialysis patients, but it has not been assessed in peritoneal dialysis (PD) patients.

METHODS

This study involved diabetes patients on PD, with HbA1c level and antidiabetes therapy records. First, the "burnt-out diabetes" phenomenon was investigated in patients with HbA1c measurements alone (HbA1c cohort). Then, it was investigated in patients with both HbA1c and GA measurements (GA cohort).

RESULTS

A total of 1296 patients were included in the HbA1c cohort. When "burnt-out diabetes" was defined as HbA1c < 6.0% without treatment, it was noted in 269 patients (20.8%). A total of 413 patients were subsequently included in the GA cohort. "Burnt-out diabetes," using the same definition, was found in 73 patients (17.7%). However, when defined as HbA1c < 6.0% and GA < 16.0% without treatment, "burnt-out diabetes" was found in 45 patients (10.9%).

CONCLUSIONS

Although the "burnt-out diabetes" phenomenon was present in 17.7% of patients with diabetes on PD based on HbA1c, the rate was significantly decreased to 10.9% when taking GA into account.

Inpatient Glycemic Management in the Setting of Renal Insufficiency/Failure/Dialysis

PURPOSE OF THIS REVIEW

Chronic diabetic nephropathy and renal dysfunction from other causes are common in hospitalized patients with diabetes. Available diabetes management guidelines aim to reduce hyperglycemia and hypoglycemia, both independent risk factors for hospital outcomes. Renal dysfunction, which increases the risk of hypoglycemia, adds a layer of complexity in diabetes management. Therefore, modified glucose goals and treatment regimens may be required.

RECENT FINDINGS

Recent prospective and retrospective studies provide direction on safe insulin therapy for diabetes inpatients with renal compromise. Studies of newer diabetes pharmacotherapy provide data on oral agent use in the inpatient setting. Diabetes therapy should be modified with changing renal function. Glucose management in patients on peritoneal or hemodialysis is challenging. Reducing weight-based doses of insulin and use of newer insulins can reduce hypoglycemia risk. Safety and efficacy of DPP-4 inhibitors has been evaluated in the hospital and nursing home setting. Metformin, SGLT-2 inhibitors, and GLP1 receptor agonists can be used in several stages of renal dysfunction prior to and at discharge.

Usefulness of glycated albumin as a biomarker for glucose control and prognostic factor in chronic kidney disease patients on dialysis (CKD-G5D)

In chronic kidney disease patients on dialysis (CKD-G5D) accurate assessment of glycemic control is vital to improve their outcome and survival. The best glycemic marker for glucose control in these patients is still debated because several clinical and pharmacological factors may affect the ability of the available biomarkers to reflect the patient's glycemic status properly. This review discusses the role of glycated albumin (GA) both as a biomarker for glucose control and as a prognostic factor in CKD-G5D; it also looks at the pros and cons of GA in comparison to the other markers and its usefulness in hemodialysis and peritoneal dialysis.

Haemoglobin A1c or Glycated Albumin for Diagnosis and Monitoring Diabetes: An African Perspective

Diabetes mellitus (DM) has reached epidemic proportions across the globe with the largest increases seen in sub-Saharan Africa. Those that are diagnosed are largely poorly controlled. This review summarizes the limitations of the use of glycated haemoglobin (HBA1c) in Africa and current knowledge on the utility of glycated albumin and fructosamine in African patients. The diagnosis and monitoring of DM in African patients may be compromised by associated conditions like sickle cell anaemia, chronic kidney disease and HIV infection. Glycated albumin reflects short term glycaemia and is not affected by many conditions that alter HbA1c. It can be measured enzymatically, and this review discusses methods for analysis, and discusses the advantages and limitations in specific situations with an emphasis on conditions that also affect HbA1c.

Glycated albumin in chronic kidney disease: Pathophysiologic connections

Nephropathy in diabetes patients is the most common etiology of end-stage kidney disease (ESKD). Strict glycemic control reduces the development and progression of diabetes-related complications, and there is evidence that improved metabolic control improves outcomes in subjects having diabetes mellitus with advanced chronic kidney disease (CKD). Glycemic control in people with kidney disease is complex. Changes in glucose and insulin homoeostasis may occur as a consequence of loss of kidney function and dialysis. The reliability of measures of long-term glycemic control is affected by CKD and the accuracy of glycated haemoglobin (HbA1c) in the setting of CKD and ESKD is questioned. Despite the altered character of diabetes in CKD, current guidelines for diabetes management are not specifically adjusted for this patient group. The validity of indicators of long-term glycemic control has been the focus of increased recent research. This review discusses the current understanding of commonly used indicators of metabolic control (HbA1c, fructosamine, glycated albumin) in the setting of advanced CKD.

Is the management of diabetes different in dialysis patients?

Diabetes is highly and increasingly prevalent in the dialysis population and negatively impacts both quality and quantity of life. Nevertheless, the best approach to these patients is still debatable. The question of whether the management of diabetes should be different in dialysis patients does not have a clear yes or no answer but is divided into too many sub-issues that should be carefully considered. In this review, lifestyle, cardiovascular risk, and hyperglycemia management are explored, emphasizing the possible pros and cons of a similar approach to diabetes in dialysis patients compared to the general population.

Distinct biomarker roles for HbA1c and glycated albumin in patients with type 2 diabetes on hemodialysis

AIMS

HbA_1c and glycated albumin (GA) are used to monitor glycemia, but their accuracy to represent glycemic profiles in hemodialysis remains controversial.

METHODS

Continuous glucose monitoring in 97 patients with type 2 diabetes (41 on hemodialysis [HD] and 56 without nephropathy) was analyzed to evaluate whether HbA_1c and/or GA serve as appropriate glycemic profile markers.

RESULTS

The average glucose significantly correlated with HbA_1c in both HD group and group without nephropathy (r=0.59, P<0.0001; r=0.40, P<0.005). The slopes of linear regression lines were statistically indistinguishable (F=0.30, P=0.744), while the y-intercepts were significantly different (F=57.86, P<0.0001). GA showed strong correlation with the glycemic standard deviation (r=0.68, P<0.0001), and with the average glucose (r=0.42, P<0.001). Least square analysis revealed that only HbA_1c, but not GA, was significantly associated with the average glucose (F=10.20, P<0.0005; F=0.38, P=0.5427), while only GA was significantly associated with the glycemic variability in HD group.

CONCLUSIONS

In HD participants, HbA_1c correlates with the average glucose more than GA, but underestimates it, and a correction formula of HbA1c can be developed as an appreciable marker. GA value itself reflects the average glucose, but less accurately than HbA_1c, while it could serve as an indicator for hyperglycemia/hypoglycemia excursion.

Determinant Effects of Average Fasting Plasma Glucose on Mortality in Diabetic End-Stage Renal Disease Patients on Maintenance Hemodialysis

Introduction

Diabetic kidney disease is an increasingly frequent cause of end-stage renal disease. However, mixed results were shown between glycated hemoglobin and mortality.

Methods

We used the average fasting plasma glucose (FPG) levels to predict mortality rates in long-term hemodialysis patients. We enrolled 46,332 hemodialysis patients with diabetes mellitus, who were registered in the Taiwan Renal Registry Data System between January 2005 and December 2012. The patients were stratified based on the quartiles of average FPG levels measured for the first (1-year FPG) and third years (3-year FPG) of hemodialysis. Survival analysis was conducted via multivariable Cox regression.

Results

After the first year of hemodialysis, the mean FPG levels were 103.5 ± 14.5, 144.7 ± 11.5, 189.6 ± 15.2, and 280.8 ± 1.2 mg/dl for the first, second, third, and fourth quartile, respectively. The Kaplan-Meier curve showed an incremental reduction in the survival as FPG levels increased (P < 0.0001). In the Cox regression model, the adjusted hazard ratios were 1.15 (95% CI: 1.10–1.20), 1.30 (95% CI: 1.25–1.36), and 1.45 (95% CI: 1.39–1.51) for the pairwise comparisons between the first quartile and the second, third, and fourth quartile, respectively. Similar trends were observed by 3-year FPG. Patients whose FPG levels increased had a 22% increased risk (95% CI: 1.16–1.29) for all-cause mortality compared with patients whose FPG levels decreased.

Discussion

Our results suggest that the average FPG levels are useful predictors of all-cause mortality in dialysis patients. In addition, an increasing trend in average FPG levels indicates poor survival.

Serum albumin-adjusted glycated albumin is a better predictor of mortality in diabetic patients with end-stage renal disease on hemodialysis

AIMS

Glycated albumin (GA) is a marker for monitoring glycemic control in diabetic patients with end-stage renal disease (ESRD). We evaluated whether serum albumin-adjusted GA (adjusted GA) could predict mortality in diabetic patients with ESRD on hemodialysis.

METHODS

Seventy-eight patients with type 2 diabetes treated with regular hemodialysis were enrolled and followed up for 5-years. The adjusted GA was calculated from the regression formula and mean GA. The cut-off values for GA and adjusted GA that predicted mortality risk were determined using receiver operating characteristic curve analysis.

RESULTS

During the follow-up period (median: 36months), 15 patients died. In the Kaplan-Meier analysis, there were no significant differences in the 5-year cumulative survival rate (58.3% [GA ≥19.8%] vs. 88.6% [GA <19.8%], P=0.075). Conversely, this rate was significantly higher in patients with adjusted GA <21.2% than adjusted GA ≥21.2% (86.4 vs. 49.5%, P=0.0068). After adjustment for other confounders, adjusted GA ≥21.2% was an independent predictor for mortality (hazard ratio 3.76, 95% confidence interval 1.12-17.44, P=0.031), but GA ≥19.8% was not (hazard ratio 2.63, 95% confidence interval 0.65-17.69, P=0.19).

CONCLUSIONS

Adjusted GA is a better predictor of mortality than GA in diabetic patients with ESRD on hemodialysis.

Glycated Albumin Predicts Long-term Survival in Patients Undergoing Hemodialysis

BACKGROUND

In patients with advanced renal dysfunction undergoing maintenance hemodialysis, glycated albumin (GA) levels may be more representative of blood glucose levels than hemoglobin A1C levels. The aim of this study was to determine the predictive power of GA levels on long-term survival in hemodialysis patients.

METHODS

A total of 176 patients with a mean age of 68.2 years were enrolled. The median duration of follow-up was 51.0 months. Receiver-operating characteristic curve analysis was utilized to determine the optimal cutoff value. We examined the cumulative survival rate by Kaplan-Meier estimates and the influence of known survival factors with the multivariate Cox proportional-hazard regression model.

RESULTS

In the whole patient group, cumulative survival in the low GA group was better than in the high GA group (p=0.030), with more prominence in those aged <70 years (p=0.029). In subgroup analysis, both diabetic (DM) and non-DM patients with low GA had a better cumulative survival compared with those with high GA. The risk of mortality increased by 3.0% for each 1% increase in serum GA level in all patients undergoing hemodialysis.

CONCLUSIONS

In addition to serving as a glycemic control marker, GA levels may be useful for evaluating the risk of death in both DM and non-DM patients on hemodialysis.

What is the Role of HbA1c in Diabetic Hemodialysis Patients?

The definition of a good glycemic control in patients with diabetes mellitus on hemodialysis is far from settled. In the general population, hemoglobin A1c is highly correlated with the average glycemia of the last 8-12 weeks. However, in hemodialysis patients, the correlation of hbA1c with glycemia is weaker as it also reflects changes in hemoglobin characteristics and red blood cells half-life. As expected, studies show that the association between HbA1c and outcomes in these patients differ from the general population. Therefore, the value of HbA1c in the treatment of hemodialysis patients has been questioned. Guidelines are generally cautious in their recommendations about possible targets of HbA1c in this population. Indeed, the risk of not treating hyperglycemia should be weighed against the particularly high risk of precipitating hypoglycemia in dialysis patients. In this review, a critical analysis of the current role of HbA1c in the care of hemodialysis patients is presented.

Haemodialysis-induced hypoglycaemia and glycaemic disarrays

In patients with diabetes receiving chronic haemodialysis, both very high and low glucose levels are associated with poor outcomes, including mortality. Conditions that are associated with an increased risk of hypoglycaemia in these patients include decreased gluconeogenesis in the remnant kidneys, deranged metabolic pathways, inadequate nutrition, decreased insulin clearance, glucose loss to the dialysate and diffusion of glucose into erythrocytes during haemodialysis. Haemodialysis-induced hypoglycaemia is common during treatments with glucose-free dialysate, which engenders a catabolic status similar to fasting; this state can also occur with 5.55 mmol/l glucose-containing dialysate. Haemodialysis-induced hypoglycaemia occurs more frequently in patients with diabetes than in those without. Insulin therapy and oral hypoglycaemic agents should, therefore, be used with caution in patients on dialysis. Several hours after completion of haemodialysis treatment a paradoxical rebound hyperglycaemia may occur via a similar mechanism as the Somogyi effect, together with insulin resistance. Appropriate glycaemic control tailored for patients on haemodialysis is needed to avoid haemodialysis-induced hypoglycaemia and other glycaemic disarrays. In this Review we summarize the pathophysiology and current management of glycaemic disarrays in patients on haemodialysis.

The effects of comorbidity on the benefits and harms of treatment for chronic disease: a systematic review

Background

There are concerns about the potential for unintentional harms when clinical practice guidelines are applied to patients with multimorbidity. The objective was to summarize the evidence regarding the effect(s) of comorbidity on the outcomes of medication for an index chronic condition.

Methods

A systematic review was conducted of studies published in MEDLINE and Cochrane Trials before May 2012. The search strategy was constructed to identify articles indexed with “comorbidity” or a related term or by a given condition and one or more additional specified comorbid conditions. The search yielded 3252 articles, of which 37 passed the title/abstract screening process, and 22 were included after full-text review. An additional 23 articles were identified by screening the reference lists for included articles. Information was extracted on study design; population; therapy; comparison groups; outcome(s); main findings.

Findings

Indexing of articles was inconsistent, with no term for “multimorbidity,” and rare use of “comorbidity”. Only one article examined the effects of comorbidity per se, finding no benefit of tight control of DM among persons with high comorbidity, defined using a comorbidity index. The remainder examined pairs of conditions, the majority of which were post-hoc analyses of randomized controlled trials and which found no difference in outcomes according to whether a comorbid condition was present. Several demonstrated no difference or an increased risk of adverse outcome among persons with DM and tight control of HTN as compared to usual control. Several demonstrated lack of benefit of statins among persons with end-stage renal disease.

Conclusions

There is limited evidence regarding the effects of multiple comorbidities on treatment outcomes. The majority of studies demonstrated no effect of a single comorbid condition on outcomes. Additional studies examining a broad range of comorbidity are required, along with clear and consistent indexing to allow for improved synthesis of the evidence.

The Effect of Glycated Hemoglobin and Albumin-Corrected Glycated Serum Protein on Mortality in Diabetic Patients Receiving Continuous Peritoneal Dialysis

OBJECTIVE

To explore the effect of glycated hemoglobin (HbA1c) and albumin-corrected glycated serum proteins (Alb-GSP) on the mortality of diabetic patients receiving continuous peritoneal dialysis (PD).

METHODS

In this single-center retrospective cohort study, incident diabetic PD patients from January 1, 2006, to December 31, 2010, were recruited, and followed up until December 31, 2011. The effect of HbA1c and Alb-GSP on mortality was evaluated by Cox proportional hazards models.

RESULTS

A total of 200 patients (60% male, mean age 60.3 ± 10.6 years) with a mean follow-up of 29.0 months (range: 4.3 - 71.5 months) were recruited. Sixty-four patients died during the follow-up period, of whom 21 died of cardiovascular disease (CVD). Mean values for HbA1c, GSP and Alb-GSP were 6.7% (range: 4.1 - 12.5%), 202 μmol/L (range: 69 - 459 μmol/L), and 5.78 μmol/g (range: 2.16 - 14.98 μmol/g), respectively. The concentrations of GSP and Alb-GSP were closely correlated with HbA1c (r = 0.41, p < 0.001 and r = 0.45, p < 0.001, respectively). In multivariate Cox proportional hazards models, patients with HbA1c ≥ 8% were associated with increased risk of all-cause mortality (hazard ratio [HR] = 2.29, 95% confidence interval [CI]: 1.06 - 4.96, p = 0.04), but no increased mortality in patients with 6.0% ≤ HbA1c ≤ 7.9%. Patients with Alb-GSP ≤ 4.50 μmol/g had increased all-cause and non-cardiovascular mortality (HR = 2.42, 95% CI: 1.13 - 5.19, p = 0.02; and HR = 2.98, 95% CI: 1.05 - 8.48, p = 0.04 respectively).

CONCLUSIONS

Increased HbA1c and decreased Alb-GSP may be associated with poorer survival in diabetic PD patients, with a non-significant trend observed for poorer survival with the highest level of Alb-GSP.

Updates on the management of diabetes in dialysis patients

Diabetes mellitus is the leading cause of end-stage renal disease (ESRD) in the U.S. and many countries globally. The role of improved glycemic control in ameliorating the exceedingly high mortality risk of diabetic dialysis patients is unclear. The treatment of diabetes in ESRD patients is challenging, given changes in glucose homeostasis, the unclear accuracy of glycemic control metrics, and the altered pharmacokinetics of glucose-lowering drugs by kidney dysfunction, the uremic milieu, and dialysis therapy. Up to one-third of diabetic dialysis patients may experience spontaneous resolution of hyperglycemia with hemoglobin A1c (HbA1c) levels <6%, a phenomenon known as "Burnt-Out Diabetes," which remains with unclear biologic plausibility and undetermined clinical implications. Conventional methods of glycemic control assessment are confounded by the laboratory abnormalities and comorbidities associated with ESRD. Similar to more recent approaches in the general population, there is concern that glucose normalization may be harmful in ESRD patients. There is uncertainty surrounding the optimal glycemic target in this population, although recent epidemiologic data suggest that HbA1c ranges of 6% to 8%, as well as 7% to 9%, are associated with increased survival rates among diabetic dialysis patients. Lastly, many glucose-lowering drugs and their active metabolites are renally metabolized and excreted, and hence, require dose adjustment or avoidance in dialysis patients.

Vildagliptin is Effective for Glycemic Control in Diabetic Patients Undergoing either Hemodialysis or Peritoneal Dialysis

INTRODUCTION

Vildagliptin can be used in patients with type 2 diabetes mellitus and renal impairment. However, there have been few reports investigating the clinical effectiveness of vildagliptin in diabetic patients undergoing hemodialysis. No previous studies have evaluated the use of vildagliptin in patients undergoing peritoneal dialysis. The authors determined the usefulness of vildagliptin for treating type 2 diabetic patients receiving chronic dialysis, including peritoneal dialysis.

METHODS

A retrospective study of ten diabetic patients undergoing peritoneal dialysis and five diabetic patients undergoing hemodialysis who were treated with 50 mg/day of vildagliptin was performed. Clinical parameters were investigated for a period of 6 months starting from the vildagliptin therapy.

RESULTS

The hemoglobin A1c (HbA1c) levels were significantly reduced after baseline in both the peritoneal dialysis and hemodialysis groups, whereas the hemoglobin levels did not change during the follow-up period. The mean change in the HbA1c level (ΔHbA1c) was -0.6 ± 0.9% and -0.5 ± 0.7% among the patients undergoing peritoneal dialysis and hemodialysis, respectively. The glycated albumin (GA) levels were also significantly reduced compared with baseline in the peritoneal dialysis group, although the serum albumin levels did not change. The mean change in the GA level (ΔGA) was -3.4 ± 3.1% and -2.1 ± 2.5% among the patients undergoing peritoneal dialysis and hemodialysis, respectively. Stepwise multivariate analyses demonstrated the level of HbA1c at baseline to be significantly associated with the ΔHbA1c and that the level of GA at baseline was significantly associated with the ΔGA.

CONCLUSION

Vildagliptin exhibits effectiveness in patients with type 2 diabetes mellitus undergoing peritoneal dialysis or hemodialysis. The degree of improvement in the HbA1c and GA levels was dependent on these levels at baseline, similar to the findings of previous reports of subjects without end-stage kidney disease.

Glycated albumin predicts the risk of mortality in type 2 diabetic patients on hemodialysis: evaluation of a target level for improving survival

Glycated albumin (GA) is considered a more reliable marker than glycated hemoglobin (HbA1c) for monitoring glycemic control, particularly in diabetic hemodialysis patients. We investigated the associations of GA, HbA1c, and random serum glucose levels with survival, and evaluated possible targets for improving survival in diabetic hemodialysis patients. In this prospective, longitudinal, observational study, we enrolled 90 diabetic hemodialysis patients across six dialysis centers in Japan. The median duration of follow-up was 36.0 months (mean follow-up, 29.8 months; range, 3-36 months). There were 11 deaths during the observation period. GA was a significant predictor for mortality (hazard ratio, 1.143 per 1% increase in GA; 95% confidence interval, 1.011-1.292; P = 0.033), whereas HbA1c and random glucose levels were not predictors for mortality. Receiver operating characteristics curve analysis showed that the cutoff value of GA for predicting the risk of mortality was 25%. In the Kaplan-Meier analysis, the cumulative survival rate was significantly greater in patients with GA ≤ 25% than in patients with GA >25%. GA predicted the risk of all-cause and cardiovascular mortality in diabetic hemodialysis patients. Our results suggest that GA ≤ 25% is an appropriate target for improving survival in diabetic hemodialysis patients.

Skin autofluorescence measurement in diabetological and nephrological clinical practice

Formation of advanced glycation end-products plays role in the pathogenesis of diabetic complications and related ongoing connective tissue degeneration as part of atherosclerosis and chronic kidney disease. The cumulative metabolic burden of patients can be measured in few minutes using a recently developed non-invasive mobile device, which has been developed for the evaluation of fluorescent advanced glycation end-product molecules in skin. The variation of skin autofluorescence measurement is about 10%, and its predictive value in cardiovascular events overcomes conventional glycemic markers even in chronic kidney disease population. In the early stages of diabetes it seems to be an effective screening tool, and in overt diabetes signifies micro- and macrovascular complications. This method is unadaptable in systemic autoimmune diseases, generalised dermatological illnesses and hepatobiliary pathological conditions leading to icterus. Significant correlation has been found between skin autofluorescence and pulse wave velocity due to glycation of vascular wall structure proteins and consequent arterial matrix rigidity. Orv. Hetil., 2012, 153, 1651–1657.

Glycated albumin is superior to hemoglobin A1c for evaluating the presence and severity of coronary artery disease in type 2 diabetic patients

OBJECTIVES

This study aimed to compare the value of serum glycated albumin (GA) level versus glycated hemoglobin A(1c) (HbA(1c)) for evaluating the presence and severity of coronary artery disease (CAD) in patients with type 2 diabetes mellitus (T2DM).

METHODS

Serum GA and blood HbA(1c) levels were measured in 829 consecutive T2DM patients with or without angiographically documented significant CAD (≥70% diameter stenosis).

RESULTS

Serum GA levels were higher in diabetic patients with significant CAD than in those without (20.57 ± 4.23 vs. 19.00 ± 4.48%; p < 0.001), but HbA(1c) was similar in the two groups (7.74 ± 1.34 vs. 7.51 ± 1.37% p > 0.05). Compared to HbA(1c), GA correlated more closely with the sum of significant stenotic lesions (r = 0.275, p < 0.001 and r = 0.092, p = 0.019) and the extent index (r = 0.375, p < 0.001 and r = 0.091, p = 0.019). The area under the curve of GA was larger than that of HbA(1c) for detecting the presence of significant CAD (0.637 vs. 0.568; p = 0.046) and 3-vessel disease (0.620 vs. 0.536; p = 0.039). GA, but not HbA(1c), was independently associated with significant CAD.

CONCLUSIONS

Serum GA level is a better indicator than HbA(1c) for evaluating the presence and severity of CAD and predicting major adverse cardiac events in patients with T2DM.

Glycated albumin in diabetic patients with chronic kidney disease

Chronic hyperglycemia results in a non-enzymatic glycation of proteins, and produces Amadori products, such as glycated albumin (GA), glycosylated hemoglobin (HbA1c), and fructosamine. In current clinical practice, long-term glycemic control is assessed by quarterly measurements of HbA1c. Since the degree of hemoglobin glycosylation depends not only on the level of glycemic control, but also on the lifespan of red blood cells, patients with hemoglobin disorders or anemia of any cause may have erroneous HbA1c levels, and consequently receive insufficient treatment. Patients with chronic kidney disease (CKD) often suffer from various types of anemia, and consequently, they are frequently treated with iron and/or erythropoietin therapy or frequent blood transfusion. Thus, serum GA is a potentially useful glycemic index in diabetic patients with CKD, since it is not influenced by anemia and associated treatments. GA may also reflect the status of blood glucose more rapidly (2-3 weeks) than HbA1c (2-3 months), and is beneficial in those with wide variations in blood glucose or at higher risk for hypoglycemia. If clinical investigations support its utility, it may be applicable as a screening tool for all patients with diabetes during routine health examinations. Serum GA levels are also associated with AGE-related fluorescence and the number of glycation sites, and it may influence the structural and functional changes inalbumin. Since end-stage renal disease is an extreme microvascular complication of diabetic nephropathy, CKD patients with diabetes should be carefully managed to prevent disease progression. In this review, the clinical aspects of GA were discussed, including a comparison of GA with other glycated proteins, the utility and limitations of GA as a glycemic index, its influence on the therapeutic effects of hypoglycemic agents, its correlations with vascular complications, and its potential role in pathogenesis, specifically in diabetic patients with CKD.

Estimating average glucose levels from glycated albumin in patients with end-stage renal disease

PURPOSE

In patients with diabetic end stage renal disease (ESRD), glycated albumin (GA) reflects recent glycemic control more accurately than glycated hemoglobin (HbA1c). We evaluated the relationship between GA and average blood glucose (AG) level and developed an estimating equation for translating GA values into easier-to-understand AG levels.

MATERIALS AND METHODS

A total of 185 ESRD patients, including 154 diabetic and 31 non-diabetic participants, were enrolled (108 hemodialysis, 77 peritoneal dialysis). Patients were asked to perform four-point daily self-monitoring of capillary blood glucose (SMBG) at least three consecutive days each week for four weeks. Serum levels of GA, HbA1c and other biochemical parameters were checked at baseline, as well as at 4 and 8 weeks.

RESULTS

Approximately 74.3±7.0 SMBG readings were obtained from each participant and mean AG was 169.1±48.2 mg/dL. The correlation coefficient between serum GA and AG levels (r=0.70, p<0.001) was higher than that of HbA1c and AG (r=0.54, p<0.001). Linear regression analysis yielded the following equation: estimated AG (eAG) (mg/dL)=4.71×GA%+73.35, and with this formula, serum GA levels could be easily translated to eAG levels. Multivariate analysis revealed significant contributions of postprandial hyperglycemia (β=0.25, p=0.03) and serum albumin (β=0.17, p=0.04) in determining serum GA level, independent to other clinical parameters.

CONCLUSION

Compared to HbA1c, serum GA levels were better correlated with AG levels. Using the estimating equation, an average blood glucose level of 155-160 mg/dL could be matched to a GA value of 18-19% in patients with ESRD.

Glycated albumin is the preferred marker for assessing glycaemic control in advanced chronic kidney disease

Diabetic nephropathy is the most common aetiology of end-stage kidney disease (ESKD). Strict glycaemic control reduces the development and progression of diabetes-related complications, and there is evidence that improved metabolic control improves outcomes in diabetic subjects with advanced chronic kidney disease (CKD). Glycaemic control in people with kidney disease is complex. Changes in glucose and insulin homeostasis may occur as a consequence of loss of kidney function and dialysis. The reliability of measures of long-term glycaemic control is affected by CKD and the accuracy of glycated haemoglobin (HbA1c) in the setting of CKD and ESKD is questioned. Despite the altered character of diabetes in CKD, current guidelines for diabetes management are not specifically adjusted to this patient group. The validity of indicators of longer term glycaemic control has been the focus of increased recent research. This review discusses the current understanding of commonly used indicators of metabolic control (HbA1c, fructosamine, glycated albumin) in the setting of advanced CKD (Stages 4 and 5, glomerular filtration rate <30 mL/min/1.73m(2)).

Association of HbA1c values with mortality and cardiovascular events in diabetic dialysis patients. The INVOR study and review of the literature

Background

Improved glycemic control reduces complications in patients with diabetes mellitus (DM). However, it is discussed controversially whether patients with diabetes mellitus and end-stage renal disease benefit from strict glycemic control.

Methods

We followed 78 patients with DM initiating dialysis treatment of the region of Vorarlberg in a prospective cohort study applying a time-dependent Cox regression analysis using all measured laboratory values for up to more than seven years. This resulted in 880 HbA_1c measurements (with one measurement every 3.16 patient months on average) during the entire observation period. Non-linear P-splines were used to allow flexible modeling of the association with mortality and cardiovascular disease (CVD) events.

Results

We observed a decreased mortality risk with increasing HbA_1c values (HR = 0.72 per 1% increase, p = 0.024). Adjustment for age and sex and additional adjustment for other CVD risk factors only slightly attenuated the association (HR = 0.71, p = 0.044). A non-linear P-spline showed that the association did not follow a fully linear pattern with a highly significant non-linear component (p = 0.001) with an increased risk of all-cause mortality for HbA_1c values up to 6–7%. Causes of death were associated with HbA_1c values. The risk for CVD events, however, increased with increasing HbA_1c values (HR = 1.24 per 1% increase, p = 0.048) but vanished after extended adjustments.

Conclusions

This study considered the entire information collected on HbA_1c over a period of more than seven years. Besides the methodological advantages our data indicate a significant inverse association between HbA_1c levels and all-cause mortality. However, for CVD events no significant association could be found.

Influence of proteinuria on glycated albumin values in diabetic patients with chronic kidney disease

BACKGROUND

Glycated albumin (GA), which is an alternative glycemic marker, is influenced by factors associated with albumin turnover, and it is not clear whether proteinuria influences GA values in diabetic patients with chronic kidney disease (CKD).

METHODS

We enrolled 94 diabetic patients with CKD stages 3 to 5. GA, glycated hemoglobin, and urinary protein excretion (UP) levels were consecutively obtained in each patient. The correlations between GA and UP and those between changes in GA and UP were examined.

RESULTS

There was a significant correlation between GA and UP in all cases (r=-0.46, p<0.0001), however no significant correlation was found in cases with UP of 0-3.49 g/day (r=0.01). GA values in cases with UP ≥3.5 g/day were significantly lower than those in cases with UP <3.5 g/day [UP ≥3.5 g/day and serum albumin (Alb) ≤3 g/dL; 12.0 ± 1.3%, UP ≥3.5 g/day and Alb >3 g/dL; 17.8 ± 4.3%, 0≥ UP <3.5 g/day; 21.2 ± 4.2%], while no significant difference in HbA(1c) or glucose levels was found. In cases with a minimum of UP ≥0.5 g/day, no significant correlation was found between the difference in GA and the difference in UP at the point of maximum UP and minimum UP (r=0.04).

CONCLUSION

Nephrotic-range proteinuria decreases GA values independent of the glycemic state, while non-nephrotic range proteinuria has no significant influence on GA values in diabetic CKD patients.

Evaluation of error levels in hemoglobin A1c and glycated albumin in type 2 diabetic patients due to inter-individual variability

AIM

To evaluate error levels in hemoglobin A1c (A1C) and glycated albumin (GA) in type 2 diabetic patients due to inter-individual variability.

METHODS

Type 2 diabetic patients with stable glycemic control and without complications affecting either A1C or GA were enrolled (n=154; age 68.4+/-9.9 years). Blood examination was performed 1-4h after breakfast or lunch every 2-3 months on > or =3 occasions. A1C data were changed to IFCC values for analysis.

RESULTS

A1C and GA correlated significantly with postprandial plasma glucose. The correlation coefficient between A1C and GA was 0.728 (p<0.001) when calculated using raw data and 0.747 (p<0.001) when calculated using averaged data for each patient. The ratio R of GA to A1C was 3.88+/-0.50 for raw data and 3.88+/-0.47 for averaged data, indicating coefficients of variation of R (CV(R)) of 12.9% and 12.1%, respectively. Multiple regression analysis reduced CV(R) to 11.2%. After dividing CV(R)(2) into CV(A1C)(2) and CV(GA)(2), CV(A1C) and CV(GA) were calculated as 9.1% for raw data and 8.6% for averaged data, and were reduced to 7.9% after multiple regression analysis.

CONCLUSIONS

Error levels in A1C and GA reach 7.9-9.1%, suggesting the existence of maximal 18% errors in A1C and GA levels.

Glycemic control and burnt-out diabetes in ESRD

Treatment of early diabetes mellitus, the most common cause of chronic kidney disease (CKD), may prevent or slow the progression of diabetic nephropathy and lower mortality and the incidence of cardiovascular disease in the general diabetic population and in patients with early stages of CKD. It is unclear whether glycemic control in patients with advanced CKD, including those with end-stage renal disease (ESRD) who undergo maintenance dialysis treatment is beneficial. Aside from the uncertain benefits of treatment in ESRD, hypoglycemic interventions in this population are also complicated by the complex changes in glucose homeostasis related to decreased kidney function and to dialytic therapies, occasionally leading to spontaneous resolution of hyperglycemia and normalization of hemoglobin A1c levels, a condition which might be termed "burnt-out diabetes." Further difficulties in ESRD are posed by the complicated pharmacokinetics of antidiabetic medications and the serious flaws in our available diagnostic tools used for monitoring long-term glycemic control. We review the physiology and pathophysiology of glucose homeostasis in advanced CKD and ESRD, the available antidiabetic medications and their specifics related to kidney function, and the diagnostic tools used to monitor the severity of hyperglycemia and the therapeutic effects of available treatments, along with their deficiencies in ESRD. We also review the concept of burnt-out diabetes and summarize the findings of studies that examined outcomes related to glycemic control in diabetic ESRD patients, and emphasize areas in need of further research.

Glycemic control and cardiovascular events in diabetic hemodialysis patients

BACKGROUND

Patients on maintenance dialysis treatment experience an excess mortality, predominantly of sudden cardiac death. Poor glycemic control is associated with cardiovascular comorbidities in the general population. This study investigated the impact of glycemic control on cardiac and vascular outcomes in diabetic hemodialysis patients.

METHODS AND RESULTS

Glycohemoglobin A1c (HbA(1c)) was measured in 1255 hemodialysis patients with type 2 diabetes mellitus who participated in the German Diabetes and Dialysis Study (4D Study) and were followed up for a median of 4 years. Using Cox regression analyses, we determined hazard ratios to reach prespecified, adjudicated end points according to HbA(1c) levels at baseline: sudden cardiac death (n=160), myocardial infarction (n=200), stroke (n=103), cardiovascular events (n=469), death caused by heart failure (n=41), and all-cause mortality (n=617). Patients had a mean age of 66+/-8 years (54% male) and mean HbA(1c) of 6.7+/-1.3%. Patients with an HbA(1c) >8% had a >2-fold higher risk of sudden death compared with those with an HbA(1c) < or =6% (hazard ratio, 2.14; 95% confidence interval, 1.33 to 3.44), persisting in multivariate models. With each 1% increase in HbA(1c), the risk of sudden death rose significantly by 18%; similarly, cardiovascular events and mortality increased by 8%. There was a trend for higher risks of stroke and deaths resulting from heart failure, whereas myocardial infarction was not affected. The increased risks of both cardiovascular events and mortality were explained mainly by the impact of HbA(1c) on sudden death.

CONCLUSIONS

Poor glycemic control was strongly associated with sudden cardiac death in diabetic hemodialysis patients, which accounted for increased cardiovascular events and mortality. In contrast, myocardial infarction was not affected. Whether interventions achieving tight glycemic control decrease sudden death requires further evaluation. Clinical Trial Registration- URL: http://www.clinicalstudyresults.org. Unique identifier: CT-981-423-239.

Improved survival of type 2 diabetic patients on renal replacement therapy in Finland

BACKGROUND

Survival of type 2 diabetes mellitus patients on maintenance dialysis therapy is poor mainly due to cardiovascular events. The aim was to examine whether survival of type 2 diabetes patients on renal replacement therapy (RRT) in Finland has improved during 1995-2005.

METHODS

Patients who entered RRT because of type 2 diabetes mellitus in 1995-99 (n = 314) and 2000-05 (n = 583) were identified within the Finnish Registry for Kidney Diseases. The two cohorts were followed up from start of RRT until death or end of follow-up on 31 December 2006. Survival probabilities and probabilities of receiving a kidney transplant were calculated using Kaplan-Meier curves. Multivariate modelling was performed using Cox regression.

RESULTS

Patients who entered RRT in 2000-05 had lower risk of dying than those who entered in 1995-99; hazard ratio (HR) was 0.76 (95% CI 0.65-0.89) and 0.74 (95% CI 0.63-0.87) with adjustment for age and gender. The decreased risk of death was most obvious in age groups 55-64 (HR 0.67, 95% CI 0.49-0.92) and 65-74 years (HR 0.69, 95% CI 0.56-0.87). Adjustment for albumin in addition to age and gender only slightly weakened the effect of study periods (HR 0.83, 95% CI 0.69-1.01). The patients in 2000-05 were more obese, had lower total and LDL cholesterol and higher HDL cholesterol and albumin concentration in serum than patients in 1995-99. Patients' probability to receive a kidney transplant was low in both groups.

CONCLUSIONS

Survival of type 2 diabetes patients on RRT improved during the time period 1995-2005 in Finland while the probability of receiving a kidney transplant remained low and unchanged.

Analysis of the method for conversion between levels of HbA1c and glycated albumin by linear regression analysis using a measurement error model

AIM

To establish a method for conversion between HbA(1c) and glycated albumin (GA) using a measurement error model (MEM).

METHODS

Type 2 diabetic patients, without complications that might affect either HbA(1c) or GA, were enrolled in the study (n=154, age 68.4+/-9.9). HbA(1c), GA and postprandial plasma glucose (PPG) levels were measured simultaneously on >or=3 occasions.

RESULTS

PPG showed a significant correlation with HbA(1c) and GA (p<0.001 for both). Correlation between HbA(1c) and GA was very high (r=0.747, p<0.001). When the independent variable was assumed to be GA, common regression analysis yielded a regression line HbA(1c)=2.59+0.204GA. When the independent variable was changed to HbA(1c), the regression line became GA=2.26+2.74HbA(1c). The y-intercept of the first line was significantly positive, whereas that of the second was not. The regression line using MEM was HbA(1c)=1.73+0.245GA. The y-intercept was 1.73+/-0.38 (p<0.001) and the slope was 0.245+/-0.018 (p<0.001), showing that 1% increase in HbA(1c) level corresponds to 4% increase in GA level.

CONCLUSIONS

The relationship between HbA(1c) and GA was examined by regression analysis using MEM. HbA(1c) levels in Japan appear to have a positive shift of approximately 1.7%. Incremental ratio 4 of GA vs. HbA(1c) showed good consistency with values derived from in vitro data.

Glycaemic control in type 2 diabetic patients on chronic haemodialysis: use of a continuous glucose monitoring system

BACKGROUND

The proportion of diabetic patients undergoing haemodialysis is rapidly increasing. Glucose control among such patients is difficult to assess. We aimed to evaluate the clinical performance of a continuous glucose monitoring system (CGMS) in type 2 diabetic patients on chronic haemodialysis.

METHODS

We used a 4-day CGMS to monitor glucose levels in 19 haemodialysed type 2 diabetic patients (HD T2) including 2 days with and 2 days without dialysis session, and 39 non-HD T2 in a double-centre study.

RESULTS

The glucose concentration according to the glucose meter and CGMS were correlated in HD T2 patients (r = 0.90, P < 0.0001) and in non-HD T2 patients (r = 0.81, P < 0.0001). The relative absolute difference (RAD) between glucose determined by a glucose meter and glucose determined by the CGMS did not differ between HD T2 and non-HD T2 patients (9.2 +/- 10.5 vs. 8.2 +/- 7.6%; P = 0.165). Glycated haemoglobin (A1c) and mean glucose concentration were strongly correlated in non-HD T2 patients (r = 0.71; P < 0.0001) but weakly correlated in HD T2 patients (r = 0.47; P = 0.042). Fructosamine was correlated with the mean glucose concentration in non-HD T2 (r = 0.67; P < 0.0001) but not in HD T2 patients (r = 0.04; P = 0.88).

CONCLUSION

CGM is a validated marker of glycaemic control in HD diabetic patients. This tool showed that A1c and fructosamine, despite being good markers of glycaemic control in non-HD diabetic patients, are of poor value in HD diabetic patients.

Glycemic control and survival of diabetic hemodialysis patients--importance of lower hemoglobin A1C levels

AIMS

The significance of hemoglobin A1C (HbA1C) on the survival of diabetic hemodialysis patients still remains controversial. We investigated the impact of HbA1C on the survival.

METHODS

A total of 122 diabetic patients on maintenance hemodialysis (age, 59.9+/-11.9 years [mean+/-SD]; hemodialysis duration: 53+/-38 months) were surveyed (survey period: 46+/-19 months).

RESULTS

The cumulative survival of the poor glycemic control group (mean HbA1C of 3-month period > or =6.3%, n=62) was significantly lower than that of the good group (HbA1C<6.3%, n=60), as determined by Kaplan-Meier estimation (P=0.0084, log-rank test). Kaplan-Meier analysis also demonstrated that both cardiovascular and non-cardiovascular mortalities were higher in the poor group than in the good group (P=0.0545 and P=0.0453, respectively). In a multivariate Cox proportional hazard model, the mean HbA1C was a significant predictor of survival (OR 1.260 per 1.0%, 95% CI 1.020-0.579, P=0.0325).

CONCLUSIONS

Poor glycemic control is an independent predictor of poor prognosis in diabetic hemodialysis patients. HbA1C is a clinically useful parameter for identifying the risk for mortality, both for cardiovascular and non-cardiovascular mortality, and that careful management of glycemic control by use of HbA1C is important.

Influence of age and nutritional status on glycated albumin values in hemodialysis patients

OBJECTIVE

Several studies have shown glycated albumin (GA) to be a more accurate glycemic marker than HbA(1c) in diabetic patients with end-stage renal disease (ESRD). However GA values are influenced by several factors associated with albumin turnover independent of glycemia. We tried to clarify the factors other than glycemic control affecting GA values in ESRD patients.

PATIENTS AND METHODS

We examined the associations between GA values and several clinical variables related to albumin metabolism in 41 non-diabetic patients on maintenance hemodialysis.

RESULTS

Although there were no significant correlations between glucose, albumin, and GA values, there were significant correlations between age, cholinesterase (ChE) values, BMI, and GA values (r=0.515, p=0.0004, r=-0.394, p=0.010, r=-0.327, p=0.036). Stepwise multivariate regression analysis showed that age and ChE values were significant independent variables associated with GA values (beta=0.479, -0.343, R(2)=0.382).

CONCLUSION

GA values are influenced by age and nutritional status independent of glycemia in non-diabetic ESRD patients. We should be aware of factors other than glycemic control affecting GA values.