Extremes of glycemic control (HbA1c) increase hospitalization risk in diabetic hemodialysis patients in the USA

Making sense of glucose sensors in end-stage kidney disease: A review

Diabetes mellitus remains the leading cause of end-stage kidney disease worldwide. Inadequate glucose monitoring has been identified as one of the gaps in care for hemodialysis patients with diabetes, and lack of reliable methods to assess glycemia has contributed to uncertainty regarding the benefit of glycemic control in these individuals. Hemoglobin A1c, the standard metric to evaluate glycemic control, is inaccurate in patients with kidney failure, and does not capture the full range of glucose values for patients with diabetes. Recent advances in continuous glucose monitoring have established this technology as the new gold standard for glucose management in diabetes. Glucose fluctuations are uniquely challenging in patients dependent on intermittent hemodialysis, and lead to clinically significant glycemic variability. This review evaluates continuous glucose monitoring technology, its validity in the setting of kidney failure, and interpretation of glucose monitoring results for the nephrologist. Continuous glucose monitoring targets for patients on dialysis have yet to be established. While continuous glucose monitoring provides a more complete picture of the glycemic profile than hemoglobin A1c and can mitigate high-risk hypoglycemia and hyperglycemia in the context of the hemodialysis procedure itself, whether the technology can improve clinical outcomes merits further investigation.

Stress Hyperglycemia and Mortality in Subjects With Diabetes and Sepsis

Objectives:

Poor glycemic control is associated with mortality in critical patients with diabetes. The aim of the study was to assess the predicting value of stress hyperglycemia in patients with diabetes following hospital admission for sepsis.

Design:

Retrospective observational study.

Setting:

Adult, emergency department, and critical care in a district hospital.

Patients:

In a 10-year retrospective analysis of sepsis-related hospitalizations in the emergency department, we carried out a secondary analysis of 915 patients with diabetes (males, 54.0%) in whom both fasting glucose at entry and glycosylated hemoglobin were available.

Interventions:

None.

Measurements and Main Results:

Patients’ mean age was 79.0 (sd 11.0), glucose at admission was 174.0 mg/dL (74.3 mg/dL), and glycosylated hemoglobin was 7.7% (1.7%). Stress hyperglycemia was defined by the stress hyperglycemia ratio, that is, fasting glucose concentration at admission divided by the estimated average glucose derived from glycosylated hemoglobin. A total of 305 patients died (33.3%) in hospital. Factors associated with in-hospital case fatality rate were tested by multivariable logistic model. Ten variables predicting outcomes in the general population were confirmed in the presence of diabetes (male sex, older age, number of organ dysfunction diagnoses, in particular cardiovascular dysfunction, infection/parasitic, circulatory, respiratory, digestive diseases diagnosis, and Charlson Comorbidity Index). In addition, also glycemic control (glycosylated hemoglobin: odds ratio, 1.17; 95% CI, 1.15–1.40) and stress hyperglycemia (stress hyperglycemia ratio: 5.25; 3.62–7.63) were significant case fatality rate predictors. High stress hyperglycemia ratio (≥ 1.14) significantly increased the discriminant capacity (area under the receiver operating characteristic curve, 0.864; se, 0.013; p < 0.001).

Conclusions:

Stress hyperglycemia, even in the presence of diabetes, is predictive of mortality following admission for sepsis. Stress hyperglycemia ratio may be used to refine prediction of an unfavorable outcome.

Glycaemic control is a predictor of infection-related hospitalization on haemodialysis patients: Miyazaki Dialysis Cohort study (MID study)

AIM

Although infection is the second leading cause of death in maintenance haemodialysis patients, the effects of glycaemic control on infection in diabetic haemodialysis patients have not yet been examined in detail. We examined the relationship between diabetes or glycemic control and infection-related hospitalization (IRH) in haemodialysis patients.

METHODS

Patients receiving maintenance haemodialysis (n = 1551, 493 diabetic patients) were enrolled in this prospective cohort study in December 2009 and followed-up for 3 years. IRH during the follow-up period was abstracted from medical records. Kaplan-Meier and Cox regression analyses were used to investigate the relationship between diabetes or glycaemic control and IRH.

RESULTS

The Kaplan-Meier analysis revealed that the risk of IRH was significantly higher in haemodialysis patients with diabetes, particularly in those with poorly controlled HbA1c levels (HbA1c ≥ 7.0%), than in haemodialysis patients without diabetes. When patients with ≥HbA1c 7.0% were divided into two groups using a median value of HbA1c, the risk of IRH was significantly higher in those with the poorest glycaemic control (HbA1c ≥ 7.4%), an older age, or lower albumin levels. The multivariable-adjusted hazard ratio for the risk of IRH was not higher in the second criteria of HbA1c (HbA1c 7.0-7.3%), but was significantly higher in the group with the poorest glycaemic control (HbA1c ≥ 7.4%) than in those in the good control criterion (HbA1c < 7.0%).

CONCLUSIONS

Although diabetes is a risk factor for IRH among maintenance haemodialysis patients, the relationship between glycaemic control and the risk of infection is not linear. Therefore, the risk of infection may increase in a manner that is dependent on the glycaemic control threshold.

Effects of diabetes self-management programs on time-to-hospitalization among patients with type 2 diabetes: a survival analysis model

OBJECTIVE

This study compared time-to-hospitalization among subjects enrolled in different diabetes self-management programs (DSMP). We sought to determine whether the interventions delayed the occurrence of any acute event necessitating hospitalization.

METHODS

Electronic medical records (EMR) were obtained for 376 adults enrolled in a randomized controlled trial (RCT) of Type 2 diabetes (T2DM) self-management programs. All study participants had uncontrolled diabetes and were randomized into either: personal digital assistant (PDA), Chronic Disease Self-Management Program (CDSMP), combined PDA and CDSMP (COM), or usual care (UC) groups. Subjects were followed for a maximum of two years. Time-to-hospitalization was measured as the interval between study enrollment and the occurrence of a diabetes-related hospitalization.

RESULTS

Subjects enrolled in the CDSMP-only arm had significantly prolonged time-to-hospitalization (Hazard ratio: 0.10; p=0.002) when compared to subjects in the control arm. Subjects in the PDA-only and combined PDA and CDSMP arms showed no improvements in comparison to the control arm.

CONCLUSION

CDSMP can be effective in delaying time-to-hospitalization among patients with T2DM.

PRACTICE IMPLICATIONS

Reducing unnecessary healthcare utilization, particularly inpatient hospitalization is a key strategy to improving the quality of health care and lowering associated health care costs. The CDSMP offers the potential to reduce time-to-hospitalization among T2DM patients.

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.

Using hemoglobin A1c to derive mean blood glucose in peritoneal dialysis patients

BACKGROUND

Although hemoglobin A1c (HbA1c) has been widely used as a clinical assessment tool for outcome analyses related to glycemic control, the relationship between HbA1c and average blood glucose (BG) specific to peritoneal dialysis (PD) patients with diabetes has not been characterized. We sought to develop HbA1c-BG equation models for PD patients.

METHODS

We examined associations between HbA1c and random serum BG values over time in a contemporary 5-year (2001-2006) cohort of DaVita PD patients with diabetes. We identified 850 patients (mean age: 58 ± 13 years, 56% male) with 4,566 paired measurements of HbA1c and BG. The bootstrapping method was used to estimate average BG and corresponding HbA1c.

RESULTS

Linear regression analyses yielded the following HbA1c-BG equations: (1) BG (mg/dl) = 24.1 + 28.6 × HbA1c - 12.2 × albumin [adjusted R(2) (R(2)adj = 0.454)], (2) BG = 55.3 + 28.8 × HbA1c - 10.2 × albumin - 3.3 × Hb (R(2)adj = 0.457), and (3) BG = 69.5 + 28.7 × HbA1c - 10.1 × albumin - 3.7 × Hb - 0.1 × age + race/ethnicity (-10.1 African Americans, -5.4 other race/ethnicities; R(2)adj = 0.457). All models showed greater explanatory power of BG variation than previously established HbA1c-BG equation models defined within non-PD cohorts [R(2)adj = 0.446 for both the Diabetes Control and Complications Trial (DCCT) and the A1c-Derived Average Glucose (ADAG) equations].

CONCLUSIONS

The association between HbA1c and BG in PD patients is different than that of patients with normal kidney function. Our analysis suggests that equations incorporating serum albumin and/or Hb values better estimate the HbA1c-BG relationship in PD patients compared to equations using HbA1c alone.

Assessing glycemic control in diabetic patients with severe nephropathy

Diabetes mellitus is the leading cause of chronic kidney disease and end-stage renal failure in westernized societies, including the United States. In addition to renal manifestations, complications of poorly controlled diabetes include accelerated atherosclerosis, congestive heart failure, neuropathy, and retinopathy. The estimated total cost of diabetes care in the United States was $174 billion in 2007-a number expected to increase markedly in the coming decades. Clinicians must be able to accurately recognize patients with poor glycemic control to have opportunities to intensify treatment and potentially reduce hyperglycemia-related complications. Detecting hyperglycemia is uniquely difficult in patients with severe kidney disease. This paper reviews the literature on the accuracy of glucose monitoring assays in diabetic patients with advanced nephropathy. Interpretation of commonly used tests is affected to a great extent by the uremic milieu and frequently complicates disease management.

Glycated albumin, not hemoglobin A1c, predicts cardiovascular hospitalization and length of stay in diabetic patients on dialysis

BACKGROUND

The utility of glycated hemoglobin (HbA1c) and glycated albumin (GA) in diabetic dialysis patients remains unknown. GA was previously associated with all-cause hospitalization and patient survival. Relationships between GA, HbA1c, and casual plasma glucose (PG) with cause-specific cardiovascular (CV) disease, infectious disease (ID), and vascular access- (VA) related hospitalization rates and length of stay (LOS) were assessed.

METHODS

444 prevalent diabetic dialysis patients had monthly PG, quarterly GA, and all HbA1c values recorded for 2.33 years; hospitalizations within 17 and 30 days of testing were evaluated. Best-fit, time-dependent Cox models were constructed in unadjusted, case-mix-adjusted (age, sex, race, BMI, diabetes duration, dialysis vintage), and case-mix- plus lab-adjusted (hemoglobin, albumin, phosphorus) models.

RESULTS

Mean ± SD diabetes duration was 18.5 ± 10.8 years and dialysis vintage 2.9 ± 2.6 years. In fully adjusted models, CV hospitalization rates were associated with increasing GA (HR 1.32; 95% CI 1.11-1.57; p = 0.002 at 17 days; HR 1.21; p = 0.02 at 30 days) and PG (HR 1.10; 95% CI 1.02-1.17; p = 0.01 at 17 days; HR 1.07; p = 0.03 at 30 days), not HbA1c (HR 1.24; 95% CI 0.89-1.73; p = 0.21 at 17 days; HR 1.26; p = 0.10 at 30 days). LOS for CV admissions was positively associated with GA (HR 1.18; 95% CI 1.01-1.39; p = 0.03), not PG (HR 1.04; 95% CI 0.99-1.10; p = 0.15) or HbA1c (HR 1.03; 95% CI 0.92-1.15; p = 0.21). Admissions due to ID and VA complications (and LOS) did not correlate with these assays.

CONCLUSIONS

Improved glycemic control based on GA and PG predicted CV-related hospitalizations; GA also predicted CV hospitalization LOS. HbA1c did not predict cause-specific hospitalizations in dialysis populations.

Glycemic control in diabetic dialysis patients and the burnt-out diabetes phenomenon

Diabetes mellitus (DM) is the most common cause of end-stage kidney disease and a major risk of morbidity and mortality. It is not clear whether medical management of DM has any significant beneficial effect on clinical outcomes at the end-stage of diabetic nephropathy with full-blown micro- and macro-angiopathic complications. Both loss of kidney function and dialysis treatment interfere with glucose homeostasis and confound glycemic control. Given the unique nature of uremic milieu and dialysis therapy related alterations, there have been some debates about reliance on the conventional measures of glycemic control, in particular the clinical relevance of hemoglobin A1c and its recommended target range of <7 % in diabetic dialysis patients. Moreover, a so-called burnt-out diabetes phenomenon has been described, in that many diabetic dialysis patients experience frequent hypoglycemic episodes prompting cessation of their anti-diabetic therapies transiently or even permanently. By reviewing the recent literature we argue that the use of A1c for management of diabetic dialysis patients should be encouraged if appropriate target ranges specific for these patients (e.g. 6 to 8 %) are used. We also argue that "burnt-out diabetes" is a true biologic phenomenon and highly prevalent in dialysis patients with established history and end-stage diabetic nephropathy and explore the role of protein-energy wasting to this end. Similarly, the J- or U-shaped associations between A1c or blood glucose concentrations and mortality are likely biologically plausible phenomena that should be taken into consideration in the management of diabetic dialysis patients to avoid hypoglycemia and its fatal consequences in diabetic dialysis patients.

A critical evaluation of glycated protein parameters in advanced nephropathy: a matter of life or death: A1C remains the gold standard outcome predictor in diabetic dialysis patients. Counterpoint

Chronic kidney disease remains as one of the major complications for individuals with diabetes and contributes to considerable morbidity. Individuals subjected to dialysis therapy, half of whom are diabetic, experience a mortality of ~20% per year. Understanding factors related to mortality remains a priority. Outside of dialysis units, A1C is unquestioned as the "gold standard" for glycemic control. In the recent past, however, there is evidence in large cohorts of diabetic dialysis patients that A1C at both the higher and lower levels was associated with mortality. Given the unique conditions associated with the metabolic dysregulation in dialysis patients, there is a critical need to identify accurate assays to monitor glycemic control to relate to cardiovascular endpoints. In this two-part point-counterpoint narrative, Drs. Freedman and Kalantar-Zadeh take opposing views on the utility of A1C in relation to cardiovascular disease and survival and as to consideration of use of other short-term markers in glycemia. In the narrative preceeding this counterpoint, Dr. Freedman suggests that glycated albumin may be the preferred glycemic marker in dialysis subjects. In the counterpoint narrative below, Dr. Kalantar-Zadeh defends the use of A1C as the unquestioned gold standard for glycemic management in dialysis subjects.

Glycemic and lipidic profile in diabetic patients undergoing dialysis

OBJECTIVE

The aim of this study is to assess the clinical care pattern and to compare the lipid and glycemic profile in a group of diabetic patients undergoing both hemodialysis (HD) and peritoneal dialysis (PD) and to correlate these data using biomarkers of cardiovascular risk.

SUBJECTS AND METHODS

The first phase consisted in performing a survey on demographic data, questions about the medical team and glycemic control. In the second phase, patients were assessed through laboratorial data on their glycemic and lipid profile at a single center for HD and PD.

RESULTS

91 patients was the total population; 70 patients (77%) answered the survey; 66 patients (94%) considered the nephrologist the physician responsible for caring for their glycemic control. Second phase: 59 patients were assessed, 29 undergoing HD and 30 undergoing PD. Fifty-seven percent of the patients had HbA1c above 7%; the level of glycemic markers in patients undergoing peritoneal dialysis was significantly higher than in patients undergoing hemodialysis: HbA1c (9.37 ± 0.5) vs. (7.37 ± 0.49) p < 0.01; fasting glycemia (170 ± 15) vs. (126 ± 15) mg/dL p < 0.05. We found a positive correlation between HbA1c and hyperfibrinogenemia (r = 0.4437, p < 0.0005).

CONCLUSIONS

The data reveal that glycemic control in diabetic patients undergoing renal replacement therapy (RRT) is neglected. Peritoneal dialysis is related to the worst level of glycemic markers, possibly due to the glucose content in the dialysis solution, and higher levels from HbA1c have a positive correlation with hyperfibrinogenesis in this population.

Glycated albumin and risk of death and hospitalizations in diabetic dialysis patients

BACKGROUND AND OBJECTIVES

Relative to hemoglobin (Hb) A(₁c), glycated albumin (GA) more accurately reflects glycemic control in patients with diabetes mellitus and ESRD. We determined the association between GA, HbA(₁c), and glucose levels with survival and hospitalizations in diabetic dialysis patients.

DESIGN, SETTING, PARTICIPANTS, & MEASUREMENTS

Quarterly GA levels were measured for up to 2.33 years in 444 prevalent patients with diabetes and ESRD. Proportional hazard time-dependent covariate models were computed with adjustment for demographic characteristics, comorbidities, and laboratory variables. Similar analyses were performed for available HbA(₁c) and monthly random serum glucose determinations.

RESULTS

The participants were 53% male, 54% African American, 43% Caucasian, 90% on hemodialysis, with a mean (SD) age of 62 (12) years and median follow-up duration of 2.25 years. GA and HbA(₁c) mean ± SD 21.5% ± 6.0%, median 20.4% and mean ± SD 6.9% ± 6.6%, median 1.6%, respectively. There were 156 deaths during the observation period. In best-fit models, predictors of death included increasing GA, increasing age, presence of peripheral vascular disease, decreasing serum albumin, and decreasing hemoglobin concentrations. HbA(1c) and random serum glucose concentrations were not predictive of survival. Increasing GA levels were associated with hospitalization in the 17 days after measurement, whereas HbA(₁c) was not.

CONCLUSIONS

In contrast to the HbA(₁c) and random serum glucose values, GA accurately predicts the risk of death and hospitalizations in patients with diabetes mellitus and ESRD. The GA assay should be considered by clinicians who care for patients with diabetes on dialysis.

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.

Serum fructosamine versus glycosylated hemoglobin as an index of glycemic control, hospitalization, and infection in diabetic hemodialysis patients

Diabetes is the most common cause of end-stage renal disease and an important risk factor for morbidity and mortality in dialysis patients. Glycemic control, utilizing serial measurement of glycosylated hemoglobin (HbA1c), is generally recommended to limit end-organ damage, including cardiovascular morbidity and mortality. We, along with others, have previously suggested that HbA1c may not be a reliable measure of glycemic control in dialysis patients, and have therefore explored the use of serum fructosamine (SF) as an alternative marker. The objective of this study was to compare HbA1c levels with SF in monitoring glycemic control and associated morbidity (infection and hospitalization) in diabetic patients in a large urban hemodialysis (HD) center. We enrolled 100 diabetic HD patients and followed them up prospectively for 3 years. Data on demographics, as well as biochemical and clinical data, including hospitalizations and infections, were recorded. The mean age was 63 years. In all 54% were women and the majority were African Americans (72%). As expected, HbA1c and albumin-corrected fructosamine (AlbF) levels were highly correlated and both were significantly associated with serum glucose. AlbF, however, was more highly correlated with mean glucose values when less than 150 mg/dl and was a more useful predictor of morbidity. By univariate logistic regression and by Poisson regression analysis, AlbF, but not HbA1c, was a significant predictor of hospitalization. Additionally, in patients dialyzed by arteriovenous (AV) access (that is, excluding those dialyzed via vascular catheters), AlbF, but not HbA1c, was a significant predictor of infection. In conclusion, AlbF is as reliable a marker as HbA1c for glycemic control in diabetic patients on HD, and may be advantageous for patients with serum glucose in a desirable therapeutic range (<150 mg/dl). In addition, AlbF, but not HbA1c, is associated with morbidity (hospitalizations and infections) in diabetic patients on HD.

Glycemic control and extended hemodialysis survival in patients with diabetes mellitus: comparative results of traditional and time-dependent Cox model analyses

BACKGROUND AND OBJECTIVES

The benefits and risks of aggressive glycemic control in diabetes mellitus complicated by end-stage kidney failure remain uncertain but have importance because of the large patient population with inferior overall prognosis. Recent large observational studies with differing methodologies reached somewhat contrasting conclusions regarding the association of hemoglobin A1c with survival in diabetic chronic hemodialysis patients.

DESIGN, SETTING, PARTICIPANTS, & MEASUREMENTS

This study supplements the authors' previous analysis (which found no correlation) by extending the follow-up period to 3 years and using time-dependent survival models with repeated measures. Among 24,875 nationally distributed study patients, 94.5% had type 2 diabetes, allowing additional analysis in the subset with type 1 diabetes. Data were collected at baseline and every quarter to a maximum of 3 years' follow-up.

RESULTS

Adjusted standard and time-dependent Cox models indicated that only extremes of glycemia were associated with inferior survival. There was no effect modification by serum albumin levels, a marker of protein nutrition status, and no trend associated with random glucose measurements in a post hoc analysis. In type 1 diabetic patients, upper extreme hemoglobin A1c values indicated lower survival risk.

CONCLUSIONS

Sustained extremes of glycemia were only variably and weakly associated with decreased survival in this population. In the absence of randomized, controlled trials, these results suggest that aggressive glycemic control cannot be routinely recommended for all diabetic hemodialysis patients on the basis of reducing mortality risk. Physicians are encouraged to individualize glycemic targets based on potential risks and benefits in diabetic ESRD patients.

Management of diabetes in dialysis patients

Diabetes mellitus is the most common cause of kidney disease worldwide, and of end-stage renal disease (ESRD) in the United States and elsewhere. Mortality rates of patients with diabetes mellitus (DM) on chronic dialysis exceed those of non-DM patients. ESRD and dialysis add to the complexity of glycemic management in this population. Abnormal glucoregulation includes reduced insulin sensitivity and renal clearance of the hormone. Implementation of dialysis affects glucose and insulin levels, while increasing insulin sensitivity. Tight glycemic control carries an increased risk of hypoglycemia in ESRD. Monitoring glycemic control with hemoglobin A(1c) (HbA(1c)) levels may be suboptimal because of analytical and clinical variability of the test. Recent studies on HbA(1c) and clinical outcomes in this population present complementary results on the role of glycemic control in patients with DM with ESRD.

Diabetic kidney disease in the older adult: an update

The kidneys are among the most prominent body organs affected by the process of aging, as both kidney morphology and function are known to change with age. However, special challenges emerge when the elderly patient also has diabetes complicated by kidney disease. Cases frequently progress from the early stages of diabetic nephropathy to advanced kidney impairment and end-stage renal disease, and the majority of patients suffer cardiovascular complications. However, many elderly patients with diabetes will lack the classic clinical features of diabetic kidney disease. Neither the efficacy nor safety of general treatment goals such as glycemic control, hypertension management and renin–angiotensin blockade have been adequately addressed in the aging diabetic kidney patient. These basic treatments for diabetic kidney disease are extrapolated from studies of mostly middle-aged individuals. Diabetic kidney guidelines do not adequately distinguish between age groups. Aggressive management must be measured against life expectancy in the elderly. The physician should be aware of these risks. Unfortunately, many elderly diabetic chronic kidney disease/end-stage renal disease patients are not prescribed the treatments that are available. Over a third of new end-stage renal disease cases among the elderly are due to diabetic kidney disease. Prognosis is poor, even for those who receive a kidney transplant.

Glycemic control and cardiovascular disease in chronic kidney disease

Diabetes increases cardiovascular (CV) risk to a similar extent as myocardial infarction. Epidemiologic data support the same concept for the presence of Stage 3 (ie, glomerular filtration rate of < 60 mL/min) or higher nephropathy without diabetes. The most common cause of end-stage kidney disease requiring dialysis is diabetes. Hence, CV risk is highest among those with kidney disease and diabetes. Glycemic control in the context of CV risk reduction among patients with kidney disease has not been the focus of any specific trial; however, secondary analyses of trials, primarily in type 1 diabetes, have looked at this issue. Nevertheless, the outcome data are sparse. What can be said, however, is that failure to achieve reasonable glycemic control (ie, glycated hemoglobin < 7.5%) is associated with a higher risk of CV events and hospitalizations for CV events and infections among those with advanced kidney disease. The impact of poor glycemic control on kidney disease progression has not been well studied and should be the focus of future studies.