Garabed Eknoyan

National Kidney Foundation Practice Guidelines for Chronic Kidney Disease: Evaluation, Classification, and Stratification

Chronic kidney disease is a worldwide public health problem. In the United States, the incidence and prevalence of kidney failure are rising, the outcomes are poor, and the costs are high. The number of persons with kidney failure who are treated with dialysis and transplantation is projected to increase from 340 000 in 1999 to 651 000 in 2010 (1). The major outcomes of chronic kidney disease, regardless of cause, include progression to kidney failure, complications of decreased kidney function, and cardiovascular disease (CVD). Increasing evidence indicates that some of these adverse outcomes can be prevented or delayed by early detection and treatment (2). Unfortunately, chronic kidney disease is underdiagnosed and undertreated, resulting in lost opportunities for prevention (3-5), in part because of a lack of agreement on a definition and classification of stages in the progression of chronic kidney disease (6) and a lack of uniform application of simple tests for detection and evaluation. In February 2002, the Kidney Disease Outcomes Quality Initiative (K/DOQI) of the National Kidney Foundation (NKF) published 15 clinical practice guidelines on chronic kidney disease [7]. The goals of the guidelines are to 1) define chronic kidney disease and classify its stages, regardless of underlying cause; 2) evaluate laboratory measurements for the clinical assessment of kidney disease; 3) associate the level of kidney function with complications of chronic kidney disease; and 4) stratify the risk for loss of kidney function and development of CVD. Our goal is to disseminate the simple definition and five-stage classification system of chronic kidney disease, to summarize the major recommendations on early detection of chronic kidney disease in adults (Table 1), and to consider some of the issues associated with these recommendations. Because of the high prevalence of early stages of chronic kidney disease in the general population, this information is particularly important for general internists and specialists. Table 1. Guidelines, Recommendations, Ratings, and Key References Methods The guidelines of the K/DOQI are based on a systematic review of the literature. The approach used for the review was outlined by the Agency for Healthcare Research and Quality (formerly the Agency for Health Care Policy and Research) (46), with modifications appropriate to the available evidence and the goals of the K/DOQI Work Group. The Work Group considered diverse topics, which would have been too large for a comprehensive review of the literature. Instead, a selective review of published evidence was used to focus on specific questions: a summary of reviews for established concepts and a review of original articles and data for new concepts. The strength of recommendations is graded according to a new classification (Table 2) recently adopted by the K/DOQI Advisory Board (see Appendix 1). Table 2. National Kidney Foundation Kidney Disease Outcomes Quality Initiative Rating of the Strength of Recommendations Framework The Work Group defined two principal outcomes of chronic kidney disease: the progressive loss of kidney function over time (Figure 1) and the development and progression of CVD. Figure 1, which defines stages of chronic kidney disease, as well as antecedent conditions, outcomes, risk factors for adverse outcomes, and actions to improve outcomes, is a model of the course of chronic kidney disease. This diagram provides a framework that has previously been lacking for the development of a public health approach to chronic kidney disease. Figure 1. Evidence model for stages in the initiation and progression of chronic kidney disease ( CKD ) and therapeutic interventions. black dark gray light gray white GFR Table 3. Risk Factors for Chronic Kidney Disease and Its Outcomes Risk factors for chronic kidney disease are defined as attributes associated with increased risk for adverse outcomes of chronic kidney disease (Table 3). The guidelines focus primarily on identifying susceptibility factors and initiation factors (to define persons at increased risk for developing chronic kidney disease) and progression factors (to define persons at high risk for worsening kidney damage and subsequent loss of kidney function). Because kidney disease usually begins late in life and progresses slowly, most persons in the stage of decreased glomerular filtration rate (GFR) die of CVD before they develop kidney failure. However, decreased GFR is associated with a wide range of complications, such as hypertension, anemia, malnutrition, bone disease, neuropathy, and decreased quality of life, which can be prevented or ameliorated by treatment at earlier stages. Treatment can also slow the progression to kidney failure. Thus, measures to prevent, detect, and treat chronic kidney disease in its earlier stages could reduce the adverse outcomes of chronic kidney disease. Cardiovascular disease deserves special consideration as a complication of chronic kidney disease because 1) CVD events are more common than kidney failure in patients with chronic kidney disease, 2) chronic kidney disease seems to be a risk factor for CVD, and 3) CVD in patients with chronic kidney disease is treatable and potentially preventable (48-50). The 1998 Report of the NKF Task Force on Cardiovascular Disease in Chronic Renal Disease recommended that patients with chronic kidney disease be considered in the highest risk group for subsequent CVD events and that most interventions that are effective in the general population should also be applied to patients with chronic kidney disease (49). Definition and Classification of Stages of Chronic Kidney Disease Guideline 1. Definition and Stages of Chronic Kidney Disease Adverse outcomes can often be prevented or delayed through early detection and treatment of chronic kidney disease. Earlier stages of chronic kidney disease can be detected through routine laboratory measurements. Chronic kidney disease is defined as either kidney damage or decreased kidney function (decreased GFR) for 3 or more months (level A recommendation). Kidney disease can be diagnosed without knowledge of its cause. Kidney damage is usually ascertained by markers rather than by kidney biopsy. According to the Work Group, persistent proteinuria is the principal marker of kidney damage (8, 9). An albumincreatinine ratio greater than 30 mg/g in untimed (spot) urine samples is usually considered abnormal; proposed sex-specific cut points are greater than 17 mg/g in men and greater than 25 mg/g in women (10, 11). Other markers of damage include abnormalities in urine sediment, abnormalities in blood and urine chemistry measurements, and abnormal findings on imaging studies. Persons with normal GFR but with markers of kidney damage are at increased risk for adverse outcomes of chronic kidney disease. Glomerular filtration rate is the best measure of overall kidney function in health and disease (12). The normal level of GFR varies according to age, sex, and body size. Normal GFR in young adults is approximately 120 to 130 mL/min per 1.73 m2 and declines with age (12-15). A GFR level less than 60 mL/min per 1.73 m2 represents loss of half or more of the adult level of normal kidney function. Below this level, the prevalence of complications of chronic kidney disease increases. Although the age-related decline in GFR has been considered part of normal aging, decreased GFR in the elderly is an independent predictor of adverse outcomes, such as death and CVD (51-53). In addition, decreased GFR in the elderly requires adjustment in drug dosages, as in other patients with chronic kidney disease (54). Therefore, the definition of chronic kidney disease is the same, regardless of age. Because GFR declines with age, the prevalence of chronic kidney disease increases with age; approximately 17% of persons older than 60 years of age have an estimated GFR less than 60 mL/min per 1.73 m2 (16). The guidelines define kidney failure as either 1) GFR less than 15 mL/min per 1.73 m2, which is accompanied in most cases by signs and symptoms of uremia, or 2) a need to start kidney replacement therapy (dialysis or transplantation). Approximately 98% of patients with kidney failure in the United States begin dialysis when their GFR is less than 15 mL/min per 1.73 m2 (17). Kidney failure is not synonymous with end-stage renal disease (ESRD). End-stage renal disease is an administrative term in the United States. It indicates that a patient is treated with dialysis or transplantation, which is the condition for payment for health care by the Medicare ESRD Program. The classification of ESRD does not include patients with kidney failure who are not treated with dialysis and transplantation. Thus, although the term ESRD provides a simple operational classification of patients according to treatment, it does not precisely define a specific level of kidney function. The level of kidney function, regardless of diagnosis, determines the stage of chronic kidney disease according to the K/DOQI chronic kidney disease classification (level A recommendation). Data from the Third National Health and Nutrition Examination Survey (NHANES III) show the increasing prevalence of complications of chronic kidney disease at lower levels of GFR (7). These data and other studies provide a strong basis for using GFR to classify the stage of severity of chronic kidney disease. Table 4 shows the classification of stages of chronic kidney disease and the prevalence of each stage, estimated by using data from NHANES III (16). Approximately 11% of the U.S. adult population (20 million persons from 1988 to 1994) have chronic kidney disease. The prevalence of early stages of disease (stages 1 to 4; 10.8%) is more than 100 times greater than the prevalence of kidney failure (stage 5; 0.1%). The burden of illness associated with earlier stages of chronic kidney disease has not been systematically studied (55,

Serum β-2 Microglobulin Levels Predict Mortality in Dialysis Patients: Results of the HEMO Study

In the randomized Hemodialysis (HEMO) Study, chronic high-flux dialysis, as defined by higher beta-2 microglobulin (beta(2)M) clearance, compared with low-flux dialysis did not significantly alter all-cause mortality in the entire cohort but was associated with lower mortality in long-term dialysis patients. This analysis examined the determinants of serum beta(2)M levels and the associations of serum beta(2)M levels or dialyzer beta(2)M clearance with mortality. In a multivariable regression model that examined 1704 patients, baseline residual kidney urea clearance and dialyzer beta(2)M clearance were strong predictors of predialysis serum beta(2)M levels at 1 mo of follow-up, with regression coefficients of -7.21 (+/-0.69 SE) mg/L per ml/min per 35 L urea volume (P < 0.0001) and -1.94 (+/-0.30) mg/L per ml/min (P < 0.0001),respectively. In addition, black race and baseline years on dialysis correlated positively whereas age, diabetes, serum albumin, and body mass index correlated negatively with serum beta(2)M levels (P < 0.05). In time-dependent Cox regression models, mean cumulative predialysis serum beta(2)M levels but not dialyzer beta(2)M clearance were associated with all-cause mortality (relative risk = 1.11 per 10-mg/L increase in beta(2)M level; 95% confidence interval 1.05 to 1.19; P = 0.001), after adjustment for residual kidney urea clearance and number of prestudy years on dialysis. This association is supportive of the potential value of beta(2)M as a marker to guide chronic hemodialysis therapy.

Effects of High-Flux Hemodialysis on Clinical Outcomes: Results of the HEMO Study

Among the 1846 patients in the HEMO Study, chronic high-flux dialysis did not significantly affect the primary outcome of the all-cause mortality (ACM) rate or the main secondary composite outcomes, including the rates of first cardiac hospitalization or ACM, first infectious hospitalization or ACM, first 15% decrease in serum albumin levels or ACM, or all non-vascular access-related hospitalizations. The high-flux intervention, however, seemed to be associated with reduced risks of specific cardiac-related events. The relative risks (RR) for the high-flux arm, compared with the low-flux arm, were 0.80 [95% confidence interval (CI), 0.65 to 0.99] for cardiac death and 0.87 (95% CI, 0.76 to 1.00) for the composite of first cardiac hospitalization or cardiac death. Also, the effect of high-flux dialysis on ACM seemed to vary, depending on the duration of prior dialysis. This report presents secondary analyses to further explore the relationship between the flux intervention and the duration of dialysis with respect to various outcomes. The patients were stratified into a short-duration group and a long-duration group, on the basis of the mean duration of dialysis of 3.7 yr before randomization. In the subgroup that had been on dialysis for >3.7 yr, randomization to high-flux dialysis was associated with lower risks of ACM (RR, 0.68; 95% CI, 0.53 to 0.86; P = 0.001), the composite of first albumin level decrease or ACM (RR, 0.74; 95% CI, 0.60 to 0.91; P = 0.005), and cardiac deaths (RR, 0.63; 95% CI, 0.43 to 0.92; P = 0.016), compared with low-flux dialysis. No significant differences were observed in outcomes related to infection for either duration subgroup, however, and the trends for beneficial effects of high-flux dialysis on ACM rates were considerably weakened when the years of dialysis during the follow-up phase were combined with the prestudy years of dialysis in the analysis. For the subgroup of patients with <3.7 yr of dialysis before the study, assignment to high-flux dialysis had no significant effect on any of the examined clinical outcomes. These data suggest that high-flux dialysis might have a beneficial effect on cardiac outcomes. Because these results are derived from multiple statistical comparisons, however, they must be interpreted with caution. The subgroup results that demonstrate that patients with different durations of dialysis are affected differently by high-flux dialysis are interesting and require further study for confirmation.

Estimating the Prevalence of Low Glomerular Filtration Rate Requires Attention to the Creatinine Assay Calibration

To the Editor: In the May issue of JASN , Clase et al . ([1][1]) report a much higher estimate of the prevalence of low glomerular filtration rate (GFR) than recently published in the National Kidney Foundation Kidney Disease Outcomes Quality Initiative (K/DOQI) Clinical Practice Guidelines, “

Design and Statistical Issues of the Hemodialysis (HEMO) Study

The Hemodialysis Study is a multicenter clinical trial of hemodialysis prescriptions for patients with end stage renal disease. Participants from over 65 dialysis facilities associated with 15 clinical centers in the United States are randomized in a 2 x 2 factorial design to dialysis prescriptions targeted to a standard dose or a high dose, and to either low or high flux membranes. The primary outcome variable is mortality; major secondary outcomes are defined based on hospitalizations due to cardiovascular or infectious complications, and on the decline of serum albumin. The Outcome Committee, consisting of study investigators, uses a blinded review system to classify causes of death and hospitalizations related to the major secondary outcomes. The dialysis dose intervention is directed by the Data Coordinating Center using urea kinetic modeling programs that analyze results from dialysis treatments to monitor adherence to the study targets, adjust suggested dialysis prescriptions, and assist in trouble-shooting problems with the delivery of dialysis. The study design has adequate power to detect reductions in mortality rate equal to 25% of the projected baseline mortality rate for both of the interventions.

Both low muscle mass and low fat are associated with higher all-cause mortality in hemodialysis patients

A higher body mass index is associated with better outcomes in hemodialysis patients; however, this index does not differentiate between fat and muscle mass. In order to clarify this, we examined the relationship between measures of fat and muscle mass and mortality in 1709 patients from the Hemodialysis Study. Triceps skin-fold thickness was used to assess body fat and mid-arm muscle circumference was used to assess muscle mass. Cox regression was used to evaluate the relationship between measures of body composition with all-cause mortality after adjustments for demographic, cardiovascular, dialysis, and nutrition-related risk factors. During a median follow-up of 2.5 years, there were 802 deaths. In adjusted models with continuous covariates, higher triceps skin-fold thickness and higher body mass index were significantly associated with decreased hazards of mortality, while higher mid-arm muscle circumference showed a trend toward decreased mortality. In adjusted models, lower quartiles of triceps skin-fold thickness, mid-arm muscle circumference, and body mass index were all significantly associated with higher all-cause mortality. These studies show that body composition in end-stage renal disease bears a complex relationship to all-cause mortality.

The hemodialysis (HEMO) study: Rationale for selection of interventions

Garabed Eknoyan Andrew S. Levey, Gerald J. Beck, Lawrence Y. Agodoa, John T. Daugirdas John W. Kusek, Nathan W. Levin and Gerald Schulman for the HEMO Study Group Department of Medicine, Baylor College of Medicine, Houston, Texas; New England Medical Center, Boston, Massachusetts; Division of BiostatiStics, Cleveland Clinic Foundation, Cleveland, Ohio; NIDDK NiH, Bethesda, Maryland; Veterans Affairs Westside Medical Center, Chicago, ililnois; Beth israei Medical Center, New York, New York; and Dbision of Nephrology, Vanderbllt University Medical Center, Nashville, Tennessee

Disordered mineral metabolism in hemodialysis patients: an analysis of cumulative effects in the Hemodialysis (HEMO) Study.

BACKGROUND Serum markers of disordered mineral metabolism have been associated with adverse outcomes in patients requiring long-term dialysis therapy. Although the values of these markers often evolve over time, no study has examined the accumulated effects of these abnormalities on important clinical end points. STUDY DESIGN Retrospective cohort study. SETTING & PARTICIPANTS 1,846 prevalent hemodialysis patients randomly assigned in the Hemodialysis (HEMO) Study. PREDICTORS Serum phosphorus, calcium, calcium-phosphorus (Ca x P) product, and intact parathyroid hormone, each analyzed at the time of randomization (baseline), as a standard time-dependent covariate and as a cumulative time-dependent covariate. OUTCOMES All-cause mortality and the composite of all-cause mortality and first cardiac hospitalization. MEASUREMENTS Cox proportional hazards models. RESULTS In all analyses, serum phosphorus level greater than 6 mg/dL was associated with a heightened risk of mortality of approximately 25% compared with phosphorus values of 4.1 to 5 mg/dL. Serum calcium level greater than 11 mg/dL was associated with a 60% greater risk of death, but only when this parameter was analyzed as either a time-dependent or cumulative time-dependent variable. Ca x P product greater than 50 mg(2)/dL(2) was strongly associated with mortality, but only when assessed cumulatively. Similar relationships were observed when phosphorus, calcium, and Ca x P product values were related to the composite end point of all-cause mortality and first cardiac hospitalization. No relationships between baseline, time-dependent, and cumulative time-dependent intact parathyroid hormone levels and the outcomes of interest were observed. LIMITATIONS Residual confounding, lack of access to patient information before randomization in the HEMO Study, and concerns regarding generalizability given changes in practice patterns since the completion of the HEMO Study. CONCLUSIONS Cumulative time-dependent analyses provide a different framework for analyzing the impact of factors that may mediate adverse events in hemodialysis patients. Our findings support maintaining serum phosphorus levels at less than 6 mg/dL, calcium levels at less than 11 mg/dL, and Ca x P product at less than 50 mg(2)/dL(2).

The influence of the extracellular fluid volume on the tubular reabsorption of uric acid.

Changes is tubular reabsorption of uric acid in response to alterations in the extracellular fluid volume (ECFV) were examined in rats by clearance studies and by direct intratubular microinjections. Contraction of the ECFV led to a rise in the serum uric acid concentration and a 47% decrease in the clearance of uric acid. The ratio of uric acid to inulin clearance also fell, indicating an increase in the net tubular reabsorption of urate. Volume expansion resulted in an increase in the urate clearance and a 37% decrease in the net tubular reabsorption of uric acid. To localize the site in the nephron where these changes occur, microinjections of [2-14C]urate were performed. The lack of conversion of radioactive urate to allantoin after microinjections was demonstrated by thin-layer chromatography. After contraction of the ECFV, urinary recoveries of uric acid were significantly decreased after microinjections into proximal tubular sites. In contrast, recoveries were increased from these proximal sites after volume expansion. No evidence for distral reabsorption was obtained in any group of animals. These studies demonstrate that net urate reabsorption is influenced by the state of hydration of the ECFV and that these alterations are mediated by changes in the rates of reabsorption in the proximal tubule.

Seasonal Variations in Clinical and Laboratory Variables among Chronic Hemodialysis Patients

Seasonal variations in BP among chronic hemodialysis patients have been reported. It was hypothesized that other characteristics of these patients might also vary with the seasons. Twenty-one clinical and laboratory variables were examined for seasonal variations among 1445 patients enrolled in the Hemodialysis Study, sponsored by the National Institute of Diabetes and Digestive and Kidney Diseases. Mixed-effects models were applied to longitudinal changes (up to 45 mo) for individual patients for 19 of the 21 variables, which were measured at least twice each year, to determine the seasonal component of each variable. Seasonal variations in the other two variables, i.e., protein and energy intakes determined from annual dietary records, were assessed in cross-sectional comparisons of intakes of patients entering the study at different time points. Thirteen of the 21 variables examined demonstrated statistically significant (P < 0.01) seasonal components in their longitudinal variations. Predialysis blood urea nitrogen concentrations peaked in March, which coincided approximately with the peak protein catabolic rates, as well as protein and energy intakes (determined by dietary recall). Predialysis systolic and diastolic BP values were highest in winter and lowest in summer, corroborating previous reports. In addition, the lower predialysis BP values in summer were associated with higher outdoor temperatures and less interdialytic fluid gain. The mean predialysis hematocrit values were highest in July, which could not be attributed solely to the estimated changes in plasma volume. Seasonal variations in clinical and laboratory variables occur commonly among chronic hemodialysis patients. The reasons for most of these variations are not apparent and require further investigation. Nonetheless, failure to consider these variations might lead to biases in the interpretation of clinical studies. In addition, awareness of these variations might facilitate the interpretation of laboratory results and the clinical treatment of these patients.