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

BACKGROUND/AIMS: Because the relation between glycemic control and clinical outcomes found in the general diabetic population has not been established in diabetic hemodialysis patients, we evaluated the association between glycemic control and hospitalization risk. METHODS: We performed a primary retrospective data analysis on 23,829 hemodialysis patients with diabetes mellitus. Hemoglobin A(1c) at baseline and hospitalization events over the subsequent 12 months were analyzed and logistic regression models constructed for unadjusted, case mix-adjusted and case mix plus lab- adjusted data. Models were also constructed for cardiovascular, vascular access and sepsis hospitalizations. RESULTS: Eighty percent had type 2 DM, 5% type 1 and 14% not specified. The groups had similar mean HbA(1c) levels, 6.8 +/- 1.6%. Among all patients, the mean HbA(1c) values were >7% in 35%. The odds ratio of hospitalizations grouped by baseline HbA(1c) was significant at extremes of <5% and >11%. Similar relationships were evident for the subset of type 2 DM and in the analysis for hospitalizations due to sepsis. CONCLUSION: Extremely high and low HbA(1c) values are associated with hospitalization risk in diabetic hemodialysis patients. Prospective studies are needed to determine whether meeting recommended HbA(1c) targets might improve outcomes without posing additional risks in this population.

Hemodialyzed type I and type II diabetic patients in the US: Characteristics, glycemic control, and survival.

Diabetes mellitus (DM) constitutes a major end-stage renal disease (ESRD) health problem. Glycemic control is fundamental to the management of diabetes and its complications, and relies on monitoring of hyperglycemia. We therefore performed a primary data analysis of glycemic control and survival on a large national ESRD database. Ninety-five percent of patients with DM had type II diabetes (N = 23,504), and five percent had type I diabetes (N = 1,371). For the combined population, the mean hemoglobin A1c (HgbA1c) was 6.77%, and the mean random blood glucose was 168 mg/dl. Mean HgbA1c values were >7.0% in 35% and >8.5% in 14%. Mean HgbA1c values were below 5% in 11.3% of patients. Type I study patients tended to have higher HgbA1c values. Most patients (75.8%) had three or more random blood glucose determinations within 90 days preceding the HgbA1c measurement. The HgbA1c showed only a weak correlation with mean random glucose values (R2 0.3716; s.e. = 1.36). The survival rates in the subsequent 12-month period ranged from 80 to 85% across different HgbA1c strata. Kaplan-Meier survival curves grouped by HgbA1c levels showed no correlation between HgbA1c and survival at 12 months. More studies are needed to refine recommendations for the role of HgbA1c and glycemic control in this patient population.

Evaluating a new method to judge dialysis treatment using online measurements of ionic clearance.

New technology now supports direct online measurements of total dialysis dose per treatment, Kt. An outcome-based, nonlinear method for estimating target Kt in terms of ionic clearance measurements and body surface area (BSA) has been described recently. This is a validation study of the new method that evaluates the relationship between the (actual Kt-target Kt) difference and death risk. Patients with Kt measurements during March 2004 were identified (N=59,644). Target Kt was determined for each patient using the new method. Patients were then grouped by (actual Kt-target Kt) decile. They were also grouped by (actual URR-target URR) decile. Cox analysis-based risk profiles were constructed using those groupings. The (actual Kt-target Kt) difference profiles suggested improving death risk as Kt increased from below target to equal target. Risk ratios then flattened and remained so until (actual Kt-target Kt) reached the highest decile at which it appeared to improve, suggesting a possible biphasic profile. The (URR-target URR) risk profile was U-shaped. Death risk was related to the difference between the actual Kt and a target Kt value selected using the new nonlinear method. The method is therefore valid for prescribing and monitoring hemodialysis treatment.

Dedicated outpatient vascular access center decreases hospitalization and missed outpatient dialysis treatments.

Dedicated outpatient vascular access centers (VAC) specializing in percutaneous interventions (angiography, thrombectomy, angioplasty and catheter placement) provide outpatient therapy that can obviate the need for hospitalization. This paper reports the impact of one VAC staffed by interventional nephrologists on vascular access-related hospitalization and missed outpatient dialysis treatments. We performed a retrospective analysis of vascular access-related hospitalized days and missed vascular access-related outpatient dialysis treatments from 1995 to 2002 in 21 Phoenix Arizona Facilities (5928 cumulative patients) and 1275 cumulative Fresenius Medical Care North America (FMCNA) facilities (289,454 cumulative patients) to evaluate the impact of the introduction of a VAC in Phoenix. Vascular access-related hospitalized days/patient year and missed dialysis treatments/patient year declined from 1997 to 2002 across all access types. The decline was greater in Phoenix and coincided with the creation of a VAC in 1998. By 2002, there were 0.57 fewer hospitalized days/patient year and 0.29 fewer missed treatments/patient year than in the national sample (P<0.01). In 2002, the relative risk for vascular access hospitalized days was 0.38 (95% confidence interval (CI) 0.27-0.5) (P<0.01) and for vascular access-related missed outpatient dialysis treatments was 0.34 (95% CI 0.24-0.49) (P<0.01) in Phoenix vs FMCNA after adjustment for age, gender, diabetic status duration of dialysis and access type. VAC development was associated with a significant decrease in vascular access-related hospitalization and missed outpatient dialysis treatments. Further studies are necessary to demonstrate this effect in other communities.

Toward a continuous quality improvement paradigm for hemodialysis providers with preliminary suggestions for clinical practice monitoring and measurement.

BACKGROUND: Consensus processes using the clinical literature as the primary source for information generally drive projects to draft clinical practice guidelines (CPGs). Most such literature citations describe special projects that are not part of an organized quality management initiative, and the publication/review/consensus process tends to be long. This project describes an initiative to develop and explore a flexible and dedicated data-driven paradigm for deciding new CPGs that could be rapidly responsive to changing medical knowledge and practice. METHODS: Candidate Clinical Practice Monitoring Measures (CPMM) were selected using a large, national database according to the natures and strengths of their associations with mortality risk among patients during 1994. Thresholds above or below which risk of death increased were evaluated for each CPMM using risk profile charts and spline functions. The fractions of patients outside of those thresholds in each dialysis unit (the %Var) were determined for the years 1993, 1994, and 1995. A standardized mortality ratio (SMR) was also determined for each year for each facility. The associations between the %Var and SMR were evaluated in several single-variable and multivariable statistical models. RESULTS: Eleven CPMM were selected and evaluated based on their associations with death risk. These included the urea clearance x dialysis time product (Kt); the concentrations of albumin, potassium, phosphate, bicarbonate, hemoglobin, neutrophils, and lymphocytes in the blood; the body weight/height ratio; diastolic blood pressure; and vascular access type. Even though the CPMM were strongly associated with death risk among patients, the %Var were weakly and inconsistently associated with SMR among facilities. CONCLUSIONS: The paradigm was flexible, easy to implement, quickly executed, and potentially able to accommodate evolving medical practice assuming the availability of large database systems such as this. The primary associates of death risk were easily identified and the thresholds easily adopted. The SMR and %Var from the CPMM were only weakly associated, however, suggesting that one cannot be reliably predicted from the other. As such, quality management programs should likely monitor both the processes and outcomes of care among dialysis facilities.

Association between prevalent care process measures and facility-specific mortality rates.

BACKGROUND: Medical communities often develop practice guidelines recommending certain care processes intended to promote better clinical outcome among patients. Conformance with those guidelines by facilities is then monitored to evaluate care quality, presuming that the process is associated with and can be used reliably to predict clinical outcome. Outcome is often monitored as a facility-specific mortality rate (SMR) standardized to the mix of patients treated, also presuming that inferior outcome implies a suboptimal process. The U.S. Health Care Financing Administration monitors three practice guidelines, called Core Indicators, in dialysis facilities to assist management of its end-stage renal disease program: (1) patients' hematocrit values should exceed 30 vol%, (2) the urea reduction ratio (URR) during dialysis should equal or exceed 65%, and (3) patients' serum albumin concentrations should equal or exceed 3.5 g/dL. METHODS: The associations of a facility-specific SMR were evaluated with the fractions of hemodialysis patients not conforming to (that is, at variance with) the Core Indicators during three successive years (1993 to 1995) in large numbers of facilities (394, 450, and 498) using one-variable and multivariable statistical models. Three related strategies were used. First, the association of the SMR with the fraction of patients not meeting the guideline was evaluated. Second, each facility was classified by whether its SMR exceeded the 80% confidence interval above 1.0 (worse than 1.0, Group 3), was less than the interval below 1.0 (better than 1.0, Group 1), or was within the interval (Group 2). The fraction of those patients who did not meet the Indicator guidelines was then evaluated in each group. Third, the ability of variance from Indicator guidelines to predict into which of the three SMR groups a facility would be categorized was evaluated. RESULTS: SMR was directly correlated with variance from the Indicator guidelines, but the strengths of the associations were weak particularly for the hematocrit (R(2) = 2.2%, 5.6, and 2.2 for each of the 3 years) and URR Indicators (R(2) = 2.6, 0.6, 3.3). It was stronger for the albumin Indicator (R(2) = 11.6, 20.4, 21.8). The fractions of patients falling outside of the Indicator guidelines tended to be higher in the highest SMR group. The groups were not well separated, however, particularly for the hematocrit and URR Indicators, and there was substantial overlap between them. Finally, although the likelihood that a facility would be a member of the high or low SMR group was associated with fractional variance from Core Indicator guidelines, the strengths of association were weak, and the probability that a facility would be a member of the high or low group could not be easily distinguished from the probability that it would be a member of the middle group. CONCLUSIONS: While there were statistical associations between SMR and the fraction of patients in facilities who were at variance with these guidelines, they were weak and variances from the guidelines could not be used reliably to predict high or low SMR. Such findings do not imply that measures reflecting anemia, dialysis dose, or medical processes that influence serum albumin concentration are irrelevant to the quality of care. They do suggest, however, that more attention needs be paid to these and other associates and causes of mortality among dialysis patients when developing care process indicator guidelines.

Cardiac arrest and sudden death in dialysis units.

BACKGROUND: For patients with end-stage renal disease and their providers, dialysis unit-based cardiac arrest is the most feared complication of hemodialysis. However, relatively little is known regarding its frequency or epidemiology, or whether a fraction of these events could be prevented. METHODS: To explore clinical correlates of dialysis unit-based cardiac arrest, 400 reported arrests over a nine-month period from October 1998 through June 1999 were reviewed in detail. Clinical characteristics of patients who suffered cardiac arrest were compared with a nationally representative cohort of> 77,000 hemodialysis patients dialyzed at Fresenius Medical Care North America-affiliated facilities. RESULTS: The cardiac arrest rate was 400 out of 5,744,708, corresponding to a rate of 7 per 100,000 hemodialysis sessions. Cardiac arrest was more frequent during Monday dialysis sessions than on other days of the week. Case patients were nearly twice as likely to have been dialyzed against a 0 or 1.0 mEq/L potassium dialysate on the day of cardiac arrest (17.1 vs. 8.8%). Patients who suffered a cardiac arrest were on average older (66.3 +/- 12.9 vs. 60.2 +/- 15.4 years), more likely to have diabetes (61.8 vs. 46.8%), and more likely to use a catheter for vascular access (34.1 vs. 27.8%) than the general hemodialysis population. Sixteen percent of patients experienced a drop in systolic pressure of 30 mm Hg or more prior to the arrest. Thirty-seven percent of patients who suffered cardiac arrest had been hospitalized within the past 30 days. Sixty percent of patients died within 48 hours of the arrest, including 13% while in the dialysis unit. CONCLUSIONS: Cardiac arrest is a relatively infrequent but devastating complication of hemodialysis. To reduce the risk of adverse cardiac events on hemodialysis, the dialysate prescription should be evaluated and modified on an ongoing basis, especially following hospitalization in high-risk patients.

Suspected iron dextran-related adverse drug events in hemodialysis patients.

Despite the use of recombinant erythropoietin, anemia remains a significant problem for patients with end-stage renal disease, in part related to chronic dialysis-related blood loss and resultant iron deficiency. Because oral iron preparations have been relatively ineffective and poorly tolerated in this population, intravenous (IV) iron dextran has been widely prescribed, despite a finite risk for adverse effects associated with its use. We analyzed data from Fresenius Medical Care North America (FMCNA) clinical variance reports to determine the incidence of suspected iron dextran-related adverse drug events (ADEs) and associated patient characteristics, dialysis practice patterns, and outcomes. We used a case-cohort study design, comparing individuals who experienced suspected ADEs with the overall FMCNA population. Among 841,252 IV iron dextran administrations from October 1998 through March 1999, there were 165 reported suspected ADEs, corresponding to an overall rate of 0.000196%, or approximately 20 per 100,000 doses. Forty-three patients (26%) required an independent emergency department evaluation, 18 patients (11%) required hospitalization, and 1 patient (0.6%) died. Dyspnea (43%), hypotension (23%), and neurological symptoms (23%) were the most common major ADEs; nausea (34%), vomiting (23%), flushing (27%), and pruritus (25%) were the most common other ADEs. ADEs were 8.1-fold more common among patients administered Dexferrum (American Regent Laboratories, Inc, Shirley, NY) compared with those administered InFed (Watson Pharmaceuticals, Phoenix, AZ). In summary, serious adverse reactions to IV iron dextran are rare in clinical practice. The risk appears to depend on the specific formulation of IV iron dextran. Otherwise, iron dextran-related ADEs are difficult to predict.

Limitations of the facility-specific standardized mortality ratio for profiling health care quality in dialysis.

Health care quality is assessed by profiling measures of care and/or health outcomes. However, such tools to measure outcome as standardized mortality ratio (SMR) are often used without thorough validation of their strengths and limitations. Our study compared the dialysis facility-specific SMR and SMR-based rating using different statistical methods and followed them over time. All Fresenius Medical Care, North America dialysis facilities (n = 377) that contributed patient data from 1993 to 1995 (>103,500 patient-years) were included. Four distinct statistical methods (US Renal Data System [USRDS], Poisson, logistic, and Cox regression) were used to compute facility-specific SMRs and rank and classify facilities. The analysis compared the SMR and SMR-based rating of dialysis facilities between SMR method and over time. Different methods produced statistically significant differences in SMR distribution (P < 0.05). The USRDS method produced SMR values that decreased over time (P < 0.001). Based on 90% confidence intervals to determine outliers, the SMR-dependent ranking of dialysis facilities varied by method (P < 0.001). SMR-based ranking was stable over time except for the USRDS method (P < 0.001). Contingency table analysis showed up to a 33% total misclassification rate between SMR methods when ranking facilities. The facility-specific SMR and SMR-based ranking are both sensitive to statistical technique. Because the SMR yields different results in a year and over time and because there is no demonstrable gold standard, conclusions based on any one technique are unstable and unreliable. Regulatory monitoring, actions, and/or performance awards should be avoided based on this measure. However, a facility-specific SMR estimated in any valid way may be useful as an epidemiological research tool.

Changing hemodialysis thresholds for optimal survival.

BACKGROUND: The urea reduction ratio (URR), a measure quantitating solute removal during hemodialysis, is the fractional reduction of the blood urea concentration during a single hemodialysis treatment. The URR is the principal measure of hemodialysis dose in the United States. Based on studies of patients dialyzed prior to 1994, a minimum URR value of 65% was recommended to optimize survival. Because of new hemodialysis technologies and evolving demographics of the hemodialysis population, the relationship between the amount of hemodialysis and mortality was examined in contemporary cohorts. METHODS: This retrospective cohort included> 15,000 patients per year receiving hemodialysis during 1994 through 1997. Each patient's URR was averaged for the three months prior to the beginning of each year. Mortality odds ratios were calculated for patients by URR. To determine the URR value above which no further improvement in mortality was seen ("threshold"), spline functions were tested in logistic regression models, both unadjusted and adjusted for case mix measures. The strength of fit for URR, defined by a range of candidate thresholds from 55 to 75%, was evaluated in increments of 1% for each year using spline functions. RESULTS: The median URR was 63.2, 65.4, 67.4, and 68.1% for 1994 through 1997, respectively. The median length of hemodialysis treatments increased only six minutes from the beginning to the end of the period of analysis. Using spline functions, the threshold URR values were 61.1, 65.0, 68.0, and 71.0% for 1994 through 1997 in models adjusted for case mix. The ratio of median URR to URR threshold decreased from 1.03 in 1994 to 0.97 in 1997. CONCLUSIONS: From 1994 to 1997, the median URR and the URR threshold for mortality benefit increased. Although an increased need in the amount of hemodialysis may be a consequence of changes in patients' demographic characteristics, the likely explanation(s) is a change in the dialysis procedure and/or blood sampling favoring higher URR values without changing the amount of dialysis provided. The recommended minimum URR of 65% appears to be too low to confer an optimal mortality benefit in the context of current practices.

Prealbumin is as important as albumin in the nutritional assessment of hemodialysis patients.

BACKGROUND: Although serum prealbumin is considered a valid indicator of nutritional status in hemodialysis patients, there is relatively little evidence that its determination is of major prognostic significance. In this study, we aimed to determine the independent association of serum prealbumin with survival in hemodialysis patients, after adjusting for serum albumin and other indicators of protein energy nutritional status. METHODS: Serum prealbumin was measured in more than 1600 maintenance hemodialysis patients. We determined the correlations among prealbumin and other indicators of nutritional status, including serum albumin, and bioimpedance-derived indicators of body composition. The relationship between serum prealbumin and survival was determined using proportional hazards regression. RESULTS: The serum albumin was directly correlated with the serum prealbumin (r = 0.47, P < 0.0001), but still explained <25% of the variability in prealbumin. Prealbumin was inversely related to mortality, with a relative risk reduction of 6% per 1 mg/dL increase in prealbumin, even after adjusting for case mix, serum albumin, and other nutritional indicators. The increase in risk with lower serum prealbumin concentrations was observed whether the serum albumin was high or low. CONCLUSION: In hemodialysis patients, the serum prealbumin provides prognostic value independent of the serum albumin and other established predictors of mortality in this population.

Comparing the urea reduction ratio and the urea product as outcome-based measures of hemodialysis dose.

The urea reduction ratio (URR) and normalized treatment ratio (Kt/V) are related quantities that have become accepted measures of hemodialysis dose. Recent studies, however, have suggested that they combine two elements, both favorably associated with clinical outcome, as a single ratio. These elements, Kt and V, may offset each other, producing a complex quantity that does not reflect a true relationship between dialysis exposure and clinical outcome. This project explored and compared the associations of the URR and the ¿urea clearance x time¿ product (Kt) with mortality in a large sample of hemodialysis patients (37,108 patients) during 1998. Survival analyses using conventional techniques were the primary analytic tools. The relationship between URR and survival was U-shaped or J-shaped, with greater relative mortality at both extremes of the URR distribution than at its middle. Thus, identifying a threshold for adequate dialysis was not possible unless one considers also a threshold for overdialysis. Conversely, the association between Kt and outcome was much simpler, reflecting progressive improvement over the range of Kt evaluated here. These analyses suggest that such measures as URR and Kt/V are compound and complex, and that a simpler, more direct, measure, such as the Kt, should be considered to describe hemodialysis dose.

Vintage, nutritional status, and survival in hemodialysis patients.

BACKGROUND: The link between dialysis "vintage" (length of time on dialysis in months to years) and survival has been difficult to define, largely because of selection effects. End-stage renal disease (ESRD) is thought to be a wasting illness, but there are no published reports describing the associations between vintage and body composition in hemodialysis patients. METHODS: We explored the relationships among vintage, nutritional status, and survival in a 3009 patient cohort of prevalent hemodialysis patients. Body weight, total body water, body cell mass, and phase angle by bioelectrical impedance analysis were the body composition parameters of interest. We examined vintage as an explanatory variable in multiple linear regression analyses (adjusted for age, gender, race, and diabetes) using body composition parameters and biochemical indicators of nutritional status as dependent variables. Proportional hazards regression was used to evaluate the association of vintage and survival with and without adjustment for case mix and laboratory variables. RESULTS: Dialysis vintage was 3.8 +/- 3.7 (median 2.6) years. Body composition parameters tended to be lower after dialysis year 2. Linear estimates per year of vintage beyond year 2 include -0.66 kg body wt (P < 0.0001), -0.17 kg total body water (P = 0.0003), -0.14 kg body cell mass (P < 0.0001), and -0.07 degrees phase angle (P < 0.0001). In unadjusted analyses, vintage was not associated with survival, either as a linear or higher order term. The adjustment for case mix yielded a vintage term associated with an increased relative risk (RR) of death (RR 1.04 (95% CI, 1.01 to 1.07 per year). A further adjustment for laboratory data yielded a RR of 1.06 (95% CI, 1.03 to 1.09 per year). CONCLUSION: Dialysis vintage is related to nutritional status in hemodialysis patients, with vintage of more than years associated with a significant decline in all measured nutritional parameters. Cross-sectional analyses probably underestimate these effects. A year accrued on dialysis is associated with a 6% increase in the risk of death, all else equal. Longitudinal assessments of nutritional status, including body composition, are required to better understand the natural history of wasting with ESRD and its implications for long-term survival.

Quality-of-life evaluation using Short Form 36: comparison in hemodialysis and peritoneal dialysis patients.

Short Form 36 (SF-36) is a well-documented health-related quality-of-life (HRQOL) instrument consisting of 36 questions compressed into eight scales and two primary dimensions: the physical and mental component scores. This tool was used to evaluate QOL among peritoneal dialysis (PD) and hemodialysis (HD) patients. The results of 16,755 HD and 1,260 PD patients (728 continuous ambulatory PD [CAPD] and 532 continuous cycling PD [CCPD]) completing an SF-36 during 1996 were analyzed. Three analyses of variance were performed, consisting of (1) no adjustment, (2) case mix (age, sex, race, and diabetes), and (3) case mix plus laboratory parameters. PD patients were younger (P < 0.001), a larger fraction were white (P < 0.001), fewer had diabetes (P < 0.001), and had lower serum albumin concentrations (P < 0.001) and higher creatinine, hemoglobin, and white blood cell count values (P < 0.001) than HD patients. Diabetes was present in a larger fraction of CCPD than CAPD patients (P < 0.001). HD and PD patients scored similarly for scales reflecting physical processes. PD patients scored higher for mental processes, but only after statistical adjustment for the laboratory measures. Scores on scales reflecting physical processes were worse, and those reflecting mental processes were better among CCPD than CAPD patients. HD and CAPD scores were similar. CCPD patients perceived themselves as more physically impaired but better adjusted than HD or CAPD patients. These descriptive data show that perception of QOL among PD and HD patients is similar before adjustment, but PD patients score higher for mental processes with adjustment. CCPD patients score worse for physical function and better for mental function than either CAPD or HD patients. We cannot, however, exclude the influence of therapy selection.

The current and future state of the ESRD program: a provider roundtable.

The decade of the 1990s have seen substantial consolidation of services in the dialysis industry in the United States. A small number of horizontally and/or vertically integrated companies oversee the care of over two-thirds of dialysis patients. There are many questions regarding this trends as well as the vision of these large organizations regarding the future of the ESRD program. The senior physicians in the four largest such organizations agreed to participate in a provider roundtable to share their thoughts on the following issues: What are the advantages and disadvantages of industry consolidation?; What steps has your organization taken to succeed?; What are the key issues facing this industry in the next decade?; What policy changes by the Federal Government do you anticipate?; What policy changes would you like to see? Although significant differences in specifics are clear in the responses, a recurrent theme relates to how value will be maintained in the program-the balance between high-quality outcomes and the costs of achieving these outcomes. This is clearly the challenge in the years ahead.

Exploring the reverse J-shaped curve between urea reduction ratio and mortality.

BACKGROUND: Although accepted worldwide as valid measures of dialysis adequacy, neither the Kt/V (urea clearance determined by kinetic modeling) nor the urea reduction ratio (URR) have unambiguously predicted survival in hemodialysis patients. Because the ratio Kt/V can be high with either high Kt (clearance x time) or low V (urea volume of distribution) and V may be a proxy for skeletal muscle mass and nutritional health, we hypothesized that the increase in the relative risk of death observed among individuals dialyzed in the top 10 to 20% of URR or Kt/V values might reflect a competing risk of malnutrition. METHODS: A total of 3,009 patients who underwent bioelectrical impedance analysis were stratified into quintiles of URR. Laboratory indicators of nutritional status and two bioimpedance-derived parameters, phase angle and estimated total body water, were compared across quintiles. The relationship between dialysis dose and mortality was explored, with a focus on how V influenced the structure of the dose-mortality relationship. RESULTS: There were statistically significant differences in all nutritional parameters across quintiles of URR or Kt/V, indicating that patients in the fifth quintile (mean URR, 74.4 +/- 3.1%) were more severely malnourished on average than patients in all or some of the other quintiles. The relationship between URR and mortality was decidedly curvilinear, resembling a reverse J shape that was confirmed by statistical analysis. An adjustment for the influence of V on URR or Kt/V was performed by evaluating the Kt-mortality relationship. There was no evidence of an increase in the relative risk of death among patients treated with high Kt. Higher Kt was associated with a better nutritional status. CONCLUSION: We conclude that the increase in mortality observed among those patients whose URR or Kt/V are among the top 10 to 20% of patients reflects a deleterious effect of malnutrition (manifest by a reduced V) that overcomes whatever benefit might be derived from an associated increase in urea clearance. Identification of patients who achieve extremely high URR (>75%) or single-pooled Kt/V (>1.6) values using standard dialysis prescriptions should prompt a careful assessment of nutritional status. Confounding by protein-calorie malnutrition may limit the utility of URR or Kt/V as a population-based measure of dialysis dose.

The urea [clearance x dialysis time] product (Kt) as an outcome-based measure of hemodialysis dose.

BACKGROUND: The normalized treatment ratio [Kt/V = the ratio of the urea clearance x time product to total body water] and the urea reduction ratio (URR) have become widely accepted measures of dialysis dose. Both are related to and derived from pharmacokinetic models of blood urea concentration during the dialysis cycle. Theoretical reconsideration of the models revealed that the premise about V on which they rest (that is, that V is a passive diluent with no survival-associated properties of its own) is flawed if the intended use of the models is for profiling clinical outcome (for example, mortality) rather than estimating urea concentration. As a proxy for body mass, V has survival-associated properties of its own. Thus, indexing clearance x time to body size could create an offsetting combination whereby one measure favorably associated with survival (Kt) is divided by another (for example, V). Observed clinical paradoxes support that interpretation. For example, patients with a low body mass have both higher URR and higher mortality than heavier patients. Increasing mortality is often observed at high URR, suggesting the possibility of "over-dialysis." Black patients tend to be treated at lower URR than whites but enjoy better survival on dialysis. Therefore, clearance x time was evaluated as an outcome-based measure of dialysis dose, not indexed to V, and various body size estimates were evaluated as separate and distinct measures. METHODS: The retrospective sample included 17,141 black and white hemodialysis patients treated three times per week. Logistic regression analysis was used to evaluate death odds in age-, gender-, race-, and diabetes-adjusted models. Kt and five body size estimates (total body water or V, body weight, body weight adjusted for height, body surface area, and body mass index) were evaluated using two analytical strategies. First, all of the measures were treated as continuous variables to explore different statistical models. Second, Kt and the body size measures were divided into groups to construct risk profiles. RESULTS: All evaluations revealed improving death odds with increasing Kt (whether adjusted for the body size estimates or not) and also with increasing body size (whether adjusted for Kt or not) for each estimate of size. Significant statistical interactions of Kt with gender, but not Kt with race, were observed in all models. There were no statistical interactions, suggesting that higher Kt was routinely required with increasing body size. Separate risk profiles for males and females suggested a higher Kt threshold for males. CONCLUSIONS: The urea clearance x time is a valid outcome-based measure of dialysis dose and is not confounded by indexing it to an estimate of body size, which has outcome-associated properties of its own. Dialysis prescriptions for males and females should be regarded separately, but there appears no need to make a distinction between the races.

Peritoneal dialysis adequacy: a model to assess feasibility with various modalities.

BACKGROUND: The current standard of adequacy for peritoneal dialysis (PD) is to provide a weekly normalized urea clearance (Kt/V) of 2.0 or more and a creatinine clearance (CCr) of 60 liter/1.73 m2 or more. As native renal function is lost, it is important to determine the effectiveness of the available therapeutic modalities in achieving these goals. METHODS: A model to assess our ability to provide a weekly Kt/Vurea of 2.0 or more and a CCr of 60 liter/1.73 m2 or more to anuric patients undergoing continuous ambulatory PD (CAPD) and automated PD (PD Plus) was developed. The body surface area (BSA) distribution was obtained from 38,768 patients undergoing dialysis during January 1997. The distribution of peritoneal transport rates (PTRs) was obtained from 2531 peritoneal equilibration tests performed during 1996. The weekly Kpt/Vurea was calculated for the various PTR groups and the range of BSA with four PD prescriptions: CAPD 8 liters, CAPD 10 liters, PD Plus 12 liters, and PD Plus 15 liters, using a previously validated kinetic program (PackPD). RESULTS: The predicted percentage of patients capable of achieving the adequacy goals for Kt/V and CCr, respectively, were 24.8 and 11. 2 for CAPD 8 liters, 54.2 and 33.0 for CAPD 10 liters, 77.8 and 54.9 for PD Plus 12 liters, and 93.2 and 72.9 for PD Plus 15 liters. CONCLUSIONS: Most patients can attain the current adequacy standards of therapy with automated PD, but few (less than 25%) can do so with standard CAPD in the absence of residual renal function.