Effect of Dialysis Dose and Membrane Flux in Maintenance Hemodialysis
Garabed Eknoyan, M.D., Gerald J. Beck, Ph.D., Alfred K. Cheung, M.D., John T. Daugirdas, M.D., Tom Greene, Ph.D., John W. Kusek, Ph.D., Michael Allon, M.D., James Bailey, M.D., James A. Delmez, M.D., Thomas A. Depner, M.D., Johanna T. Dwyer, D.Sc., R.D., Andrew S. Levey, M.D., Nathan W. Levin, M.D., Edgar Milford, M.D., Daniel B. Ornt, M.D., Michael V. Rocco, M.D., Gerald Schulman, M.D., Steve J. Schwab, M.D., Brendan P. Teehan, M.D., Robert Toto, M.D., for the Hemodialysis (HEMO) Study Group
Background The effects of the dose of dialysis and the levelof flux of the dialyzer membrane on mortality and morbidityamong patients undergoing maintenance hemodialysis are uncertain.
Methods We undertook a randomized clinical trial in 1846 patientsundergoing thrice-weekly dialysis, using a two-by-two factorialdesign to assign patients randomly to a standard or high doseof dialysis and to a low-flux or high-flux dialyzer.
Results In the standard-dose group, the mean (±SD) urea-reductionratio was 66.3±2.5 percent, the single-pool Kt/V was1.32±0.09, and the equilibrated Kt/V was 1.16±0.08;in the high-dose group, the values were 75.2±2.5 percent,1.71±0.11, and 1.53±0.09, respectively. Flux,estimated on the basis of beta2-microglobulin clearance, was3±7 ml per minute in the low-flux group and 34±11ml per minute in the high-flux group. The primary outcome, deathfrom any cause, was not significantly influenced by the doseor flux assignment: the relative risk of death in the high-dosegroup as compared with the standard-dose group was 0.96 (95percent confidence interval, 0.84 to 1.10; P=0.53), and therelative risk of death in the high-flux group as compared withthe low-flux group was 0.92 (95 percent confidence interval,0.81 to 1.05; P=0.23). The main secondary outcomes (first hospitalizationfor cardiac causes or death from any cause, first hospitalizationfor infection or death from any cause, first 15 percent decreasein the serum albumin level or death from any cause, and allhospitalizations not related to vascular access) also did notdiffer significantly between either the dose groups or the fluxgroups. Possible benefits of the dose or flux interventionswere suggested in two of seven prespecified subgroups of patients.
Conclusions Patients undergoing hemodialysis thrice weekly appearto have no major benefit from a higher dialysis dose than thatrecommended by current U.S. guidelines or from the use of ahigh-flux membrane.
Two treatment-related factors implicated in the substantialmortality and morbidity among patients undergoing maintenancehemodialysis1 are the dose of dialysis delivered and the sizeof molecules removed. An index of the dialysis dose is the fractionalclearance of urea (molecular mass, 60 D) which is commonly expressedas the intradialytic urea-reduction ratio2 or as Kt/V, whereK represents the rate of urea clearance by the dialyzer in millilitersper minute, t the duration in minutes of the treatment session,and V the volume of distribution of urea in the patient in milliliters.3Current guidelines in the United States target a urea-reductionratio of at least 65 percent or a single-pool Kt/V of at least1.20.4 The urea-reduction ratio and single-pool Kt/V overestimatethe delivered dose of dialysis, because they fail to accountfor blood urea rebound after dialysis. A more accurate measureof the dialysis dose, the equilibrated Kt/V, corrects for urearebound and is usually 0.15 to 0.20 lower than the single-poolKt/V5; by inference, current U.S. guidelines recommend a minimalequilibrated Kt/V of 1.00 to 1.05.
The National Cooperative Dialysis Study was to our knowledgethe only randomized trial that evaluated the effect of the doseof dialysis on clinical outcomes.6 It established a beneficialeffect of an increased dialysis dose on morbidity at dialysisdoses well below the current standard and in patients with substantiallyfewer coexisting conditions than are found in the present populationof patients undergoing hemodialysis. Some subsequent observationalstudies have reported continuing improvement in morbidity andmortality at dialysis doses well above those recommended inthe current guidelines,7,8,9 whereas other studies have notfound such improvement.10 Observational studies have also suggestedthat membranes with high porosity or flux, which clear largersolutes such as beta2-microglobulin (molecular mass, 11,900D), are associated with improved outcomes.11,12 To our knowledge,no randomized studies of the effects of membrane flux on clinicaloutcomes have been performed. Our study, the Hemodialysis (HEMO)Study, was a randomized clinical trial designed to determinewhether increasing the dose of dialysis or using a high-fluxdialyzer membrane alters survival or morbidity among patientsundergoing hemodialysis.
Methods
Study Design
The design of our study has been described previously.13,14The study was approved by the institutional review board ateach of 15 clinical centers associated with 72 participatingdialysis units, and all patients gave written informed consent.
Eligible patients were randomly assigned in a 1:1 ratio witha two-by-two factorial design to either a standard-dose or ahigh-dose goal and to dialysis with either a low-flux or a high-fluxdialyzer. Randomization was performed centrally with the useof random permuted blocks, with stratification according toclinical center, age, and diabetic status. The dose interventionwas defined by the Kt/V. The single-pool Kt/V was determinedby two-point urea modeling on the basis of the intradialyticreduction in blood urea and the intradialytic weight loss15and was corrected to equilibrated Kt/V on the basis of the rateof dialysis (K/V).5,16 The standard-dose goal was an equilibratedKt/V of 1.05, equivalent to a urea-reduction ratio of approximately65 percent or a single-pool Kt/V of 1.25, depending on the amountof ultrafiltration. The high-dose goal was an equilibrated Kt/Vof 1.45 (a urea-reduction ratio of about 75 percent or a single-poolKt/V of approximately 1.65). The flux intervention was definedby the porosity of the dialysis membrane: the flux was classifiedas low if the mean beta2-microglobulin clearance was less than10 ml per minute and as high if the ultrafiltration coefficientwas more than 14 ml per hour per millimeter of mercury and themean beta2-microglobulin clearance was more than 20 ml per minute.The beta2-microglobulin clearance was determined on the basisof the intradialytic changes in the beta2-microglobulin concentrationand weight, under the assumption of a single-compartment model.17
A total of 8 types of low-flux dialyzers and 17 types of high-fluxdialyzers were approved for use in the study. The most commondialyzers with low flux were the Fresenius F8 (used in 46 percentof sessions) and the Baxter CA210 (used in 43 percent); themost common dialyzers with high flux were the Fresenius F80(used in 43 percent of sessions) and the Baxter CT190 (usedin 48 percent). Use of dialyzers with unsubstituted cellulosicmembranes was not permitted. Reuse of dialyzers was permitted;however, the number of uses allowed was limited by the clearanceprofile of the dialyzer.18 The most frequent reprocessing methodsinvolved the use of Renalin (Minntech) without bleach (in 40percent of sessions), formaldehyde or glutaraldehyde (Diacide,Gulfstream) with bleach (in 32 percent of sessions), or heatedcitric acid (in 10 percent of sessions). Established standardsof general medical care were monitored by a quality-of-carecommittee.19
Study Patients
Patients 18 to 80 years of age who were undergoing in-centerhemodialysis thrice weekly and had been undergoing hemodialysisfor three or more months were enrolled between March 1995 andOctober 2000. The patients' base-line dialysis prescriptionswere maintained for three weeks after enrollment while base-linecharacteristics were ascertained. Subsequently, dialysis prescriptionswere adjusted to evaluate the ability to achieve the high-dosegoal in each patient. Patients were excluded from randomizationif their residual urea clearance exceeded 1.5 ml per minuteper 35 liters of urea, if their serum albumin level was lessthan 2.6 g per deciliter, or if an equilibrated Kt/V of morethan 1.30 was not achieved within 4.5 hours during two of threeconsecutive monitored dialysis sessions in which the high-dosegoal was targeted. On the basis of the last criterion, veryheavy patients were excluded; 97 percent of the patients whounderwent randomization weighed less than 100 kg.
Interventions and Follow-up
Centrally determined dialysis prescriptions were transmittedto investigators at the time of randomization and updated monthlythroughout follow-up. The target equilibrated Kt/V was achievedby manipulating the duration of the treatment session and thedialyzer clearance commensurate with ultrafiltration requirements.Dialysis was provided in as short a time as possible but notless than 2.5 hours. Adherence was monitored by monthly modelingof urea kinetics.
Beta2-microglobulin clearance was measured every two monthsin patients assigned to high-flux dialyzers and every six monthsin those assigned to low-flux dialyzers. Serum obtained monthlybefore dialysis was assayed for albumin by nephelometry. Bloodurea nitrogen, serum beta2-microglobulin, and albumin levelswere centrally determined (Spectra East, Rockleigh, N.J.). Standardizedassessments of coexisting conditions (with the use of the Indexof Coexisting Disease)20 were performed at base line and annuallythereafter.19
Kinetic modeling, with multiple measurements of blood urea andbeta2-microglobulin during and after dialysis, was performedat months 4 and 36 for validation of kinetic models. On thebasis of these modeling sessions, a modified rate equation (Table 1)involving a smaller adjustment for urea rebound after dialysisand yielding a higher equilibrated Kt/V value was developedfor reporting the study results. The original rate equationwas retained in the definition of dose groups in the study design.
The primary outcome was death from any cause. The main secondaryoutcomes were the rate of all hospitalizations not related tovascular access and three composite end points: the first hospitalizationfor cardiac causes or death from any cause, the first hospitalizationfor infection or death from any cause, and the first declineof more than 15 percent from base line in the serum albuminlevel or death from any cause. Four additional secondary outcomeswere defined for the specific evaluation of cardiac or infectiousevents: death from cardiac causes, death from infectious causes,the composite of the first hospitalization for cardiac causesor death from cardiac causes, and the composite of the firsthospitalization for infectious causes or death from infectiouscauses. Classifications of hospitalizations for cardiac or infectiouscauses and causes of death were determined locally and reviewedby an outcomes committee that was unaware of the treatment-groupassignments.21
Statistical Analysis
The primary analysis was a Cox regression analysis22 of survivalfrom the time of randomization. The effects of the dose andflux interventions were determined with stratification accordingto clinical center and were adjusted for the following prespecifiedbase-line factors: age, sex, race, years of dialysis, presenceor absence of diabetes, score for coexisting conditions excludingdiabetes, albumin level, and the interaction of albumin levelwith time from randomization. For patients who received a kidneytransplant, data were censored at the time of transplantation.However, in keeping with the intention-to-treat principle, datawere not censored when patients were transferred to a nonparticipatingcenter or switched to an alternative method of dialysis. KaplanMeiersurvival curves were constructed.23 All reported P values aretwo-sided, without adjustment for multiple comparisons.
Interactions of the dose and flux interventions with the prespecifiedbase-line factors were tested individually to determine whetherthe interventions had different effects on mortality in subgroupsdefined according to these factors. Subgroups defined accordingto continuous variables (age, albumin level, and years of dialysis)were defined by their mean values.
Secondary composite outcomes were analyzed by Cox regressionssimilar to that used in the primary analysis, but with dataon patients who were transferred to nonparticipating centerscensored because hospitalizations and decreases in albumin levelscould not be monitored. The rate of hospitalizations not relatedto vascular access was analyzed by overdispersed Poisson regression.24
We planned for randomization of 900 patients during an initialaccrual period of 1.5 years, with 4 years of additional follow-upduring which patients who died, received a kidney transplant,or were transferred to a nonparticipating dialysis unit wouldbe replaced by newly randomized patients until the final yearof the trial. Thus, the planned follow-up ranged from 1 to 6.5years, depending on the time of randomization. Under conservativeassumptions, including a 20 percent reduction in mortality ascompared with that in the general population of patients undergoinghemodialysis, a six-month treatment lag time, and no carryovereffects of the interventions after transfer to an alternativemethod of dialysis or to another dialysis unit, the study had84 percent power to detect a 25 percent reduction in mortalityfor each intervention.
An external advisory committee monitored the study with theuse of six annual interim analyses conducted with O'BrienFlemingstopping boundaries.25 The nominal significance level for thefinal primary analysis of mortality was 0.042, in order to maintainan overall type I error rate of 5 percent for both interventions.The study was designed and conducted by a steering committeemade up of academic investigators, who also held and analyzedthe data.
Results
Base-Line Characteristics of the Patients
A total of 2677 patients were screened, of whom 1846 underwentrandomization. Randomized patients had high rates of coexistingconditions: 96 percent had hypertension, 45 percent had eithertype 1 or type 2 diabetes, and 80 percent had a history of cardiacdisease. Characteristics of the patients in the two dose groupswere similar, as were the characteristics of those in the twoflux groups (Table 1).
Characteristics of and Adherence to Treatment
Mean values for treatment variables (reported for 97 percentof monitored dialysis sessions) characterizing the treatmentgroups were attained by the first monthly measurement afterrandomization and remained stable throughout follow-up. Themean (±SD) equilibrated Kt/V during follow-up was 1.16±0.08in the standard-dose group and 1.53±0.09 in the high-dosegroup (Table 2); the difference between the two was 0.37, or92.5 percent of the targeted 0.40. The mean equilibrated Kt/Vduring follow-up was less than 1.25 for 93 percent of the patientsin the standard-dose group and more than 1.35 for 92 percentof the patients in the high-dose group, indicating that therewas little overlap between groups. The mean urea-reduction ratiowas 66.3±2.5 percent in the standard-dose group and 75.2±2.5percent in the high-dose group, and the mean single-pool Kt/Vwas 1.32±0.09 in the standard-dose group and 1.71±0.11in the high-dose group.
Table 2. Mean Characteristics of Treatment during Follow-up.
The mean beta2-microglobulin clearance during follow-up was30.4 ml per minute higher in the high-flux group (33.8±11.4ml per minute) than in the low-flux group (3.4±7.2 mlper minute). The mean beta2-microglobulin clearance was lessthan 5 ml per minute for each low-flux dialyzer, regardlessof reprocessing method, and exceeded 30 ml per minute for eachcombination of dialyzer and reprocessing method used in thehigh-flux group, except for the CT190 reused with the Renalinmethod (25 ml per minute).
Death from Any Cause
For the 1846 randomized patients, the mean interval betweenrandomization and the scheduled end of the study on December31, 2001, was 4.48 years. However, attrition due to death andtransplantation resulted in a mean follow-up time of 2.84 years,with 5237 total patient-years of follow-up. During follow-up,392 patients left their dialysis center for reasons other thandeath, including 194 who received a transplant (95 in the standard-dosegroup and 99 in the high-dose group; 93 in the low-flux groupand 101 in the high-flux group) and 198 others who switchedmethods of dialysis or transferred to nonparticipating facilities.Nonetheless, vital status was determined for all randomizedpatients. There were 871 deaths or 0.166 death per patient-year(Table 3 and Figure 1). Cardiac diseases were the leading causeof death (343 of 871 [39 percent]).
Figure 1. Survival Curves for the Treatment Groups.
After adjustment for the base-line factors, mortality in the high-dose group was 4 percent lower (95 percent confidence interval, 10 to 16; P=0.53) than that in the standard-dose group (Panel A), and mortality in the high-flux group was 8 percent lower (95 percent confidence interval, 5 to 19; P=0.23) than that in the low-flux group (Panel B).
All prespecified covariates were significant independent predictorsof death (Table 4). The strongest predictors were age (a 41percent increase in risk per 10-year increment), base-line serumalbumin level (a 49 percent decrease in risk per increment of0.5 g per deciliter), coexisting conditions (a 37 percent increasein risk per 1-unit increment in the score on the Index of CoexistingDisease), race (the risk of death was 23 percent lower for blacks),and years of dialysis (a 4 percent increase in risk per additionalyear of dialysis).
Table 4. Primary Cox Regression Analysis of Mortality.
Neither the differences between the two dose groups nor thedifferences between the two flux groups were significant, andthe 95 percent confidence intervals for both interventions includedzero benefit. After adjustment for base-line factors, the high-dosegroup had a risk of death that was 4 percentage points lower(95 percent confidence interval, 10 to 16; P=0.53) thanthat in the standard-dose group, and the high-flux group hada risk of death that was 8 percentage points lower (95 percentconfidence interval, 5 to 19; P=0.23) than that in thelow-flux group. The effects of the dose and flux interventionswere similar at both levels of the other variable (P for interaction=0.30).Results were similar when the data were analyzed without adjustmentfor the predefined covariates.
Secondary Outcomes
Results for the main secondary outcomes are shown in Figure 2.Risk reductions for the high-dose group were 1 percentagepoint (95 percent confidence interval, 12 to 12; P=0.91)for the composite cardiac outcome, 3 percentage points (95 percentconfidence interval, 9 to 14; P=0.60) for the compositeinfection-related outcome, and 4 percentage points (95 percentconfidence interval, 6 to 13; P=0.38) for hospitalizationsnot related to vascular access. Effects of the high-flux ascompared with the low-flux intervention ranged from an increasein risk of 1 percentage point (95 percent confidence interval,9 to 11; P=0.87) for hospitalizations not related tovascular access to a decrease of 10 percentage points (95 percentconfidence interval, 1 to 20; P=0.08) for the compositecardiac outcome, indicating that neither the dose interventionnor the flux intervention had statistically significant effectson any of the main secondary outcomes. Significant risk reductions(unadjusted P<0.05) in the risk of death from cardiac causesand in the combined outcome of first hospitalization for cardiaccauses or death from cardiac causes were observed for the high-fluxintervention.
Figure 2. Effects of the Treatment Interventions on Primary and Secondary Outcomes.
Values are shown as relative risks and 95 percent confidence intervals associated with assignment to the high-dose group as compared with assignment to the standard-dose group and assignment to the high-flux group as compared with assignment to the low-flux group. Analyses were stratified according to clinical center and adjusted for base-line age, sex, race, duration of dialysis, presence or absence of diabetes, score for coexisting conditions excluding diabetes, serum albumin level, and the interaction of albumin level with time from randomization. Percentage risk reductions for the high-dose and high-flux groups given in the text are obtained by subtraction of the relative risk from 1 followed by multiplication by 100.
Interactions of Treatment Interventions with Base-Line Characteristics
Among the seven prespecified base-line factors in the primaryanalysis, possible interactions were identified (unadjustedP<0.05) between the dose intervention and sex (P=0.01) andbetween the flux intervention and years of dialysis (3.7 yearsvs. >3.7 years, P=0.005). In the high-dose group, the riskof death among women was 19 percentage points lower than thatin the standard-dose group, but the risk of death among menwas 16 percentage points higher than that in the standard-dosegroup. The risk of death was 32 percentage points lower in thehigh-flux group than in the low-flux group among patients withmore than 3.7 years of dialysis before randomization but wassimilar in the two flux groups among patients with fewer yearsof prior dialysis. The interaction between the flux group andyears of dialysis, but not that between the dose group and sex,remained significant at the level of 0.0071 determined withthe Bonferroni method for seven tests of interaction. However,the strength of the interaction between the flux group and yearsof dialysis was reduced if the number of years of dialysis wastreated as a continuous variable (P=0.04).
Discussion
Among patients undergoing maintenance hemodialysis who werereceiving thrice-weekly treatments lasting 2.5 to 4.5 hourseach, neither a higher dose of dialysis nor the use of high-fluxmembranes significantly improved survival or reduced morbidity.This lack of effect was found despite a clear separation infractional urea and beta2-microglobulin clearances between thetreatment groups. Study participants had a substantial prevalenceof coexisting conditions similar to that in the overall populationof patients in the United States undergoing hemodialysis. Thestudy included a higher percentage of blacks (63 percent) thanthis overall population does, because of the predominance ofurban centers, but patients with diabetes, elderly patients,and patients with cardiac disease were well represented. Afterthe age-related entry criteria and race had been accounted for,mortality in our study was similar to that in the general populationof patients in the United States undergoing hemodialysis.26These findings support the continued use of the current U.S.practice guidelines, which recommend a single-pool Kt/V of atleast 1.24 but make no recommendation for or against the routineuse of high-flux membranes.
The mean achieved equilibrated Kt/V, single-pool Kt/V, and urea-reductionratio in our standard-dose group were 1.16, 1.32, and 66.3 percent,respectively. Several observational studies, but to our knowledgeno other randomized trials, have examined the relation betweenmortality and dialysis doses above these levels. Some,9,27 butnot all,7 of these studies have reported reductions in mortalityof approximately 20 percentage points with an increase in dosesimilar to that used in our study. The overall reduction inmortality in our high-dose group was 4.3 percentage points,with a 95 percent confidence interval of 10 percentagepoints to 16 percentage points. The upper confidence limitsfor risk reductions in secondary composite outcomes were lower,ranging from 9 percentage points for the composite albumin endpoint to 14 percentage points for the composite infection endpoint. Because randomization prevents many biases that can occurin observational studies,28,29 our study appears to rule outan average beneficial effect of a higher dose on survival similarto the larger estimates reported in some observational studies.
The high-flux group in our study had a risk of death from anycause that was 8 percentage points lower than that in the low-fluxgroup, with an upper confidence limit of 19 percentage points.This finding contrasts with those of observational studies12,30that have reported greater reductions in mortality of 20 to24 percentage points associated with high-flux dialysis. Although,in our study, total mortality was not significantly reducedin the high-flux group, possible reductions in the rate of deathand hospitalizations from cardiac causes were suggested (Figure 2and Table 3).
The primary intention-to-treat analysis pertains to the overalleffect for all patients and does not rule out the possibilityof different effects in specific subgroups. Several observationalstudies have proposed that an increased dose of dialysis maybe of particular benefit in whites as compared with blacks,31in white women as compared with black men,32 in smaller patients,32and possibly in patients with diabetes as compared with nondiabetics.33Subgroup analysis in our study suggests that the high dose hada greater benefit in women but not in whites or patients withdiabetes. Because of the strong association between sex andbody size, the issue of possible dependence of the dose effecton size is complex and is not considered here. Our results alsosuggest a benefit of high-flux membranes for patients who hadbeen undergoing dialysis for more than 3.7 years. Sex and yearsof dialysis were among seven factors that were prespecifiedfor investigation of subgroup effects. However, the risk offalse positive results from multiple subgroup analyses mustbe considered, and the results of such analyses should be interpretedcautiously.
The difference between the doses achieved in the high-dose andstandard-dose groups most likely represents the maximal practicaldifference under conditions of thrice-weekly dialysis, as currentlypracticed in the United States. The higher small-solute clearancesthat are achievable with much longer or more frequent treatmentsmight result in a clinical benefit that was not attained bythe high dose we used.34,35 By the same token, the higher beta2-microglobulinclearances achievable with hemodiafiltration11,36 or sorbenttechniques37 might also improve outcomes.
In summary, although the effect of the dose and level of membraneflux may vary among selected subgroups of patients, the primaryresults of our study indicate that, with a schedule of thrice-weeklydialysis, neither an increased dose of dialysis nor use of ahigh-flux membrane substantially improves survival, reducesthe rate of hospitalization, or maintains serum albumin levelsas compared with a standard dose and use of low-flux membranes.
Supported by the National Institute of Diabetes and Digestiveand Kidney Diseases. Additional support was provided by BaxterHealthcare, Fresenius Medical Care, R&D Laboratories, andRoss Laboratories.
Drs. Eknoyan, Levin, Schwab, and Toto have reported consultingfor Amgen; Dr. Eknoyan has reported consulting for Sigma Tauand Fresenius and receiving lecture fees from Genzyme. Dr. Delmezhas reported consulting for Abbott Laboratories. Drs. Cheungand Schwab have reported consulting for Gambro. Dr. Toto hasreported consulting for Merck and Bristol-Myers Squibb and receivinglecture fees from Amgen, Merck, Bristol-Myers Squibb, and OrthoBiotech. Dr. Schwab has reported receiving lecture fees fromAmgen. Dr. Beck has reported having equity ownership or stockoptions in Amgen, Pfizer, and Eli Lilly; Dr. Delmez has reportedhaving equity ownership or stock options in 3M and Gelrex Pharm;and Dr. Levin has reported having equity ownership or stockoptions in Fresenius. Dr. Levey has reported receiving grantsupport from Amgen; Dr. Schwab has reported receiving grantsupport from the Vasca LifeSite Trial; and Dr. Toto has reportedreceiving grant support from Eli Lilly.
We are indebted to the patients who participated in the study;to all our consultants, especially Frank Gotch; to Allan Collinsand Shu Chen of the U.S. Renal Data System for providing additionalhospitalization data; and to Isabel McPhillips for assistancein the preparation of the manuscript.
* The institutions and investigators in the study group are listedin the Appendix.
Source Information
From the Baylor College of Medicine, Houston (G.E.); the Cleveland Clinic Foundation, Cleveland (G.J.B., T.G.); the University of Utah and the Veterans Affairs Salt Lake City Health Care System, Salt Lake City (A.K.C.); the University of Illinois and the Veterans Affairs Chicago Health Care System, Chicago (J.T. Daugirdas); the National Institute of Diabetes and Digestive and Kidney Diseases, Bethesda, Md. (J.W.K.); the University of Alabama at Birmingham, Birmingham (M.A.); Emory University Hospital, Atlanta (J.B.); Washington University, St. Louis (J.A.D.); the University of California at Davis, Sacramento (T.A.D.); New England Medical Center, Boston (J.T. Dwyer, A.S.L.); Beth Israel Medical Center, New York (N.W.L.); Brigham and Women's Hospital, Boston (E.M.); the University of Rochester, Rochester, N.Y. (D.B.O.); Wake Forest University, Winston-Salem, N.C. (M.V.R.); Vanderbilt University, Nashville (G.S.); Duke University, Durham, N.C. (S.J.S.); Lankenau Hospital and Medical Research Center, Wynnewood, Pa. (B.P.T.); and the University of Texas Southwestern Medical Center, Dallas (R.T.).
Address reprint requests to Dr. Beck at the HEMO Study Data Coordinating Center, Dept. of Biostatistics and Epidemiology, Wb4, Cleveland Clinic Foundation, 9500 Euclid Ave., Cleveland, OH 44195, or at beckg{at}ccf.org.
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Appendix
The following institutions and investigators participated inthe HEMO Study: Beth Israel Medical Center N. Levin,A. Kaufman, J. Burrowes, S. Gibbons, D. Schneditz, M. DeVita,R. Marcus, I. Meisels, J. Uribarri, C. Williams, S. Patel, C.Campasano, S. Cevallos, F. Coles, M. Damon, J. Dumont, B. Ferris,K. Gans, S. Golub, J. Leung; Brigham and Women's Hospital E. Milford, G. Chertow, T. Steinman, M. Williams, A. Bullard,J. Rehm-McGillicuddy, P. Hertello, P. Hayden, L. Campbell, W.Owen, P. Keaney, D. Kines, L. Lumadue, G. Interbartolo, E. Melville,C. Spencer, D. Bission, M. Lazarus; Duke University MedicalCenter S. Schwab, D. Butterly, M. Berkoben, W. Owen,S. Minda, D. Bartholomay, L. Poe, A. Brandenburg, M. Hunsburger;Emory University Hospital J. Bailey, E. Macon, B. Maroni,I. Brumfield, G. Carmichael, J. Miller, S. Marjoram, A. Yabrow,L. Akpele, A. McGhee, N. Dandrea; Lankenau HospitalMedicalResearch Center B. Teehan, R. Benz, J. Brown, C. Bergen,J. Butler; New England Medical Center A. Levey, K. Meyer,R. Chawla, J. Strom, G. Narayan, N. Aurigemma, A. Martin, C.Moleske, L. Uhlin, H. Han, L. Lambert, N. Athienites, D. Miskulin,M. Sarnak, M. Unruh; University of Alabama at Birmingham M. Allon, E. Rutsky, J. Lewis, J. Forehand, J. Dockery, L. Leith,W. Perdue, S. Wade Patrick, N. Miller, J. Jordan, T. Smith,D. Dunston, D. Gregg; University of California at Davis T. Depner, G. Kaysen, M. Powers, A. Reasons, L. Eder, S. Garcia,N. Scott, T. Nguyen, Z. Ali, J. Bowman, K. Van Sickle; Universityof Illinois J. Daugirdas, P. Balter, A. Priester-Coary,C. Carey, A. Frydrych, S. Haynes, B. McQuiston; University ofRochester D. Ornt, J. Holley, W. Choudhry, M. Schiff,S. Silver, N. Ferris, C. Fantauzzo, D. Pomerantz, A. Erenstone,E. Fennelley, S. Moser, L. Palm-Montalbano, D. Novak, J. Pata,L. Kirk; University of Texas Southwestern Medical Center R. Toto, R. Star, T. Parker, R. Hootkins, S. Glowacki, R. Kunau,J. Krivacic, C. Wright, L. Villemarette, J. Odom, L. Sturdivant,S. Bergeron, D. Dews, R. Santos, L. Colon, S. Black, A. Reyes,R. Paul, E. Hatfield; University of Utah A. Cheung,J. Leypoldt, S. Beddhu, C. Kablitz, K. Allen-Brady, J. Davis,R. Deeter, J. Gilson, L. Sala, S. Ware, O. Brumbaugh, A. Atkinson,K. Krill; Vanderbilt University Medical Center G. Schulman,J. Lewis, M. Faulkner, S. McLeroy, M. Sika, P. Hopkins, S. Powers,M. Deere, A. Gung, D. Nunn, F. Hendricks, L. Kitchen, L. Watkins,J. Sturgis, A. Taheri, P. Rickard, M. Byrd, E. Leavell, R. Waller,J. Bigelow, L. Busby, A. Fowler, K. Channell; Wake Forest University M. Rocco, J. Burkart, S. Crawford, P. Green, D. Poole,L. Hagan, T. Young; Washington University J. Delmaz,D. Coyne, D. Windus, R. Creaghan, K. Giles, K. Norwood, J. Audrain;National Institute of Diabetes and Digestive and Kidney Diseases J. Kusek, L. Agodoa, J. Briggs, P. Kimmel, R. Star.Steering Committee G. Eknoyan, Chair. Data CoordinatingCenter (Cleveland Clinic Foundation) G. Beck, J. Gassman,T. Greene, R. Heyka, M. Drabik, B. Larive, H. Litowitz, I. McPhillips,L. Paranandi, M. Radeva, C. Rasmussen, L. Tuason, B. Weiss,K. Wiggins, G. Yan. Nutrition Coordinating Center (New EnglandMedical Center) J. Dwyer, J. Leung, P. Cunniff, R. Henry,D. Bell. Spectra East J. Zazra, O. Gindi-Takla, F. Wawra.Center for Medicare and Medicaid Services J. Greer.Consultants W. Chumlea, F. Gotch, R. Hays, M. Keen.Industrial Representatives M. Arzac, W. Clark, D. Cockram,R. Makoff, B. Rogers. External Advisory Committee R.Blantz, W. Harmon, L. Hunsicker, J. Kopple, W. Mitch, A. Nissenson,J. Stokes, W. Vollmer, R. Wolfe.
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(2008). Plasma adiponectin levels and clinical outcomes among haemodialysis patients. Nephrol Dial Transplant
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(2008). Quality of care and survival of haemodialysed patients in western Switzerland. Nephrol Dial Transplant
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Mehta, R. L., Bouchard, J.
(2008). Dialysis Dosage in Acute Kidney Injury: Still a Conundrum?. J. Am. Soc. Nephrol.
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(2008). A Bench to Bedside View of Uremic Toxins. J. Am. Soc. Nephrol.
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(2008). Haemodiafiltration: promise for the future?. Nephrol Dial Transplant
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Garg, A. X., Greene, T., Levin, N. W.
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23: 52-55
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Covic, A., Gusbeth-Tatomir, P., Goldsmith, D.
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23: 56-61
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Cheung, A. K., Greene, T., Leypoldt, J. K., Yan, G., Allon, M., Delmez, J., Levey, A. S., Levin, N. W., Rocco, M. V., Schulman, G., Eknoyan, G., for HEMO Study Group,
(2008). Association between Serum 2-Microglobulin Level and Infectious Mortality in Hemodialysis Patients. CJASN
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Tonelli, M.
(2007). Vitamin D in Patients with Chronic Kidney Disease: Nothing New under the Sun. ANN INTERN MED
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Kessler, M., Zannad, F., Lehert, P., Grunfeld, J. P., Thuilliez, C., Leizorovicz, A., Lechat, P., for the FOSIDIAL Investigators,
(2007). Predictors of cardiovascular events in patients with end-stage renal disease: an analysis from the Fosinopril in Dialysis study. Nephrol Dial Transplant
22: 3573-3579
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Wingard, R. L., Pupim, L. B., Krishnan, M., Shintani, A., Ikizler, T. A., Hakim, R. M.
(2007). Early Intervention Improves Mortality and Hospitalization Rates in Incident Hemodialysis Patients: RightStart Program. CJASN
2: 1170-1175
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Macdougall, I. C., Eckardt, K.-U., Locatelli, F.
(2007). Latest US KDOQI Anaemia Guidelines update what are the implications for Europe?. Nephrol Dial Transplant
22: 2738-2742
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Ravani, P., Parfrey, P. S., Dicks, E., Barrett, B. J.
(2007). Clinical research of kidney diseases II: problems of study design. Nephrol Dial Transplant
22: 2785-2794
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Foley, R. N., Collins, A. J.
(2007). End-Stage Renal Disease in the United States: An Update from the United States Renal Data System. J. Am. Soc. Nephrol.
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Meyer, T. W., Hostetter, T. H.
(2007). Uremia. NEJM
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Culleton, B. F., Walsh, M., Klarenbach, S. W., Mortis, G., Scott-Douglas, N., Quinn, R. R., Tonelli, M., Donnelly, S., Friedrich, M. G., Kumar, A., Mahallati, H., Hemmelgarn, B. R., Manns, B. J.
(2007). Effect of Frequent Nocturnal Hemodialysis vs Conventional Hemodialysis on Left Ventricular Mass and Quality of Life: A Randomized Controlled Trial. JAMA
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Kliger, A. S.
(2007). Frequent Nocturnal Hemodialysis A Step Forward?. JAMA
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Lok, C. E., Allon, M., Donnelly, S., Dorval, M., Hemmelgarn, B., Moist, L., Oliver, M. J., Tonelli, M., Stanley, K.
(2007). Design of the fish oil inhibition of stenosis in hemodialysis grafts (FISH) study. Clin Trials
4: 357-367
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Tentori, F., Hunt, W. C., Rohrscheib, M., Zhu, M., Stidley, C. A., Servilla, K., Miskulin, D., Meyer, K. B., Bedrick, E. J., Johnson, H. K., Zager, P. G.
(2007). Which Targets in Clinical Practice Guidelines Are Associated with Improved Survival in a Large Dialysis Organization?. J. Am. Soc. Nephrol.
18: 2377-2384
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Santoro, A., Ferramosca, E., Mancini, E., Monari, C., Varasani, M., Sereni, L., Wratten, M.
(2007). Reverse mid-dilution: new way to remove small and middle molecules as well as phosphate with high intrafilter convective clearance. Nephrol Dial Transplant
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Ajiro, J., Alchi, B., Narita, I., Omori, K., Kondo, D., Sakatsume, M., Kazama, J. J., Akazawa, K., Gejyo, F.
(2007). Mortality Predictors after 10 Years of Dialysis: A Prospective Study of Japanese Hemodialysis Patients. CJASN
2: 653-660
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Himmelfarb, J.
(2007). Chronic Kidney Disease and the Public Health: Gaps in Evidence From Interventional Trials. JAMA
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Himmelfarb, J., Henrich, W., DuBose, T.
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Kliger, A. S., for the Frequent Hemodialysis Network Study Group,
(2007). High-Frequency Hemodialysis: Rationale for Randomized Clinical Trials. CJASN
2: 390-392
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Depner, T., Himmelfarb, J.
(2007). Uremic Retention Solutes: The Free and the Bound. J. Am. Soc. Nephrol.
18: 675-676
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Singh, A. K., Szczech, L., Tang, K. L., Barnhart, H., Sapp, S., Wolfson, M., Reddan, D., the CHOIR Investigators,
(2006). Correction of Anemia with Epoetin Alfa in Chronic Kidney Disease. NEJM
355: 2085-2098
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Tonelli, M.
(2006). Do statins protect the kidney as well as the heart?. Nephrol Dial Transplant
21: 3005-3006
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Appel, L. J.
(2006). A Primer on the Design, Conduct, and Interpretation of Clinical Trials. CJASN
1: 1360-1367
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Thadhani, R., Tonelli, M.
(2006). Cohort Studies: Marching Forward. CJASN
1: 1117-1123
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Hsu, C.-y., Feldman, H. I.
(2006). Clinical Research Methods in CJASN. CJASN
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Martins Castro, M. C., Luders, C., Elias, R. M., Abensur, H., Romao Junior, J. E.
(2006). High-efficiency short daily haemodialysis--morbidity and mortality rate in a long-term study. Nephrol Dial Transplant
21: 2232-2238
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Monk, R. D., Bennett, D. A.
(2006). Reno-cerebrovascular disease? The incognito kidney in cognition and stroke.. Neurology
67: 196-198
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Murray, A. M., Tupper, D. E., Knopman, D. S., Gilbertson, D. T., Pederson, S. L., Li, S., Smith, G. E., Hochhalter, A. K., Collins, A. J., Kane, R. L.
(2006). Cognitive impairment in hemodialysis patients is common.. Neurology
67: 216-223
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Himmelfarb, J.
(2006). Dialysis at a Crossroads: Reverse Engineering Renal Replacement Therapy. CJASN
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Ricci, Z., Bellomo, R., Ronco, C.
(2006). Dose of Dialysis in Acute Renal Failure. CJASN
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Johansen, K. L, Kutner, N. G, Young, B., Chertow, G. M
(2006). Association of body size with health status in patients beginning dialysis. Am. J. Clin. Nutr.
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Port, F. K., Pisoni, R. L., Bommer, J., Locatelli, F., Jadoul, M., Eknoyan, G., Kurokawa, K., Canaud, B. J., Finley, M. P., Young, E. W.
(2006). Improving Outcomes for Dialysis Patients in the International Dialysis Outcomes and Practice Patterns Study. CJASN
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Jindal, K., Chan, C. T., Deziel, C., Hirsch, D., Soroka, S. D., Tonelli, M., Culleton, B. F.
(2006). CHAPTER 1: Hemodialysis Adequacy in Adults. J. Am. Soc. Nephrol.
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Cheung, A. K., Rocco, M. V., Yan, G., Leypoldt, J. K., Levin, N. W., Greene, T., Agodoa, L., Bailey, J., Beck, G. J., Clark, W., Levey, A. S., Ornt, D. B., Schulman, G., Schwab, S., Teehan, B., Eknoyan, G., for HEMO Study Group,
(2006). Serum beta-2 Microglobulin Levels Predict Mortality in Dialysis Patients: Results of the HEMO Study. J. Am. Soc. Nephrol.
17: 546-555
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Burrowes, J. D., Larive, B., Chertow, G. M., Cockram, D. B., Dwyer, J. T., Greene, T., Kusek, J. W., Leung, J., Rocco, M. V., for the HEMO Study Group,
(2005). Self-reported appetite, hospitalization and death in haemodialysis patients: findings from the Hemodialysis (HEMO) Study. Nephrol Dial Transplant
20: 2765-2774
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Dixon, B. S, Beck, G. J, Dember, L. M, Depner, T. A, Gassman, J. J, Greene, T., Himmelfar, J., Hunsicker, L. G, Kaufman, J. S, Lawson, J. H, Meyers, C. M, Middleton, J. P, Radeva, M., Schwab, S. J, Whiting, J. F, Feldman, H. I
(2005). Design of the Dialysis Access Consortium (DAC) Aggrenox prevention of access stenosis trial. Clin Trials
2: 400-412
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Heaf, J. G., Sarac, S., Afzal, S.
(2005). A high peritoneal large pore fluid flux causes hypoalbuminaemia and is a risk factor for death in peritoneal dialysis patients. Nephrol Dial Transplant
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Chan, C. T., Li, S. H., Verma, S.
(2005). Nocturnal hemodialysis is associated with restoration of impaired endothelial progenitor cell biology in end-stage renal disease. Am. J. Physiol. Renal Physiol.
289: F679-F684
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Kalantar-Zadeh, K., Kilpatrick, R. D., Kuwae, N., McAllister, C. J., Alcorn, H. Jr, Kopple, J. D., Greenland, S.
(2005). Revisiting mortality predictability of serum albumin in the dialysis population: time dependency, longitudinal changes and population-attributable fraction. Nephrol Dial Transplant
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Ayus, J. C., Mizani, M. R., Achinger, S. G., Thadhani, R., Go, A. S., Lee, S.
(2005). Effects of Short Daily versus Conventional Hemodialysis on Left Ventricular Hypertrophy and Inflammatory Markers: A Prospective, Controlled Study. J. Am. Soc. Nephrol.
16: 2778-2788
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Ward, R. A.
(2005). Protein-Leaking Membranes for Hemodialysis: A New Class of Membranes in Search of an Application?. J. Am. Soc. Nephrol.
16: 2421-2430
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Andreoli, S. P., Brewer, E. D., Watkins, S., Fivush, B., Powe, N., Shevchek, J., Foreman, J.
(2005). American Society of Pediatric Nephrology Position Paper on Linking Reimbursement to Quality of Care. J. Am. Soc. Nephrol.
16: 2263-2269
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Winchester, J. F.
(2005). Novel Changes in {beta}2-Microglobulin in Dialysis Patients. Clin. Chem.
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Allon, M., Radeva, M., Bailey, J., Beddhu, S., Butterly, D., Coyne, D. W., Depner, T. A., Gassman, J. J., Kaufman, A. M., Kaysen, G. A., Lewis, J. A., Schwab, S. J., for the HEMO Study Group,
(2005). The spectrum of infection-related morbidity in hospitalized haemodialysis patients. Nephrol Dial Transplant
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Himmelfarb, J., Chertow, G. M.
(2005). Medicare ESRD Prospective Payment System: Weighing the Evidence. J. Am. Soc. Nephrol.
16: 1164-1165
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Wali, R. K., Wang, G. S., Gottlieb, S. S., Bellumkonda, L., Hansalia, R., Ramos, E., Drachenberg, C., Papadimitriou, J., Brisco, M. A., Blahut, S., Fink, J. C., Fisher, M. L., Bartlett, S. T., Weir, M. R.
(2005). Effect of kidney transplantation on left ventricular systolic dysfunction and congestive heart failure in patients with end-stage renal disease. J Am Coll Cardiol
45: 1051-1060
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Bargman, J. M., Golper, T. A.
(2005). The importance of residual renal function for patients on dialysis. Nephrol Dial Transplant
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Kalantar-Zadeh, K., Abbott, K. C, Salahudeen, A. K, Kilpatrick, R. D, Horwich, T. B
(2005). Survival advantages of obesity in dialysis patients. Am. J. Clin. Nutr.
81: 543-554
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Rocco, M. V., Cheung, A. K., Greene, T., Eknoyan, G., for the Hemodialysis Study Group,
(2005). The HEMO Study: applicability and generalizability. Nephrol Dial Transplant
20: 278-284
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Weissinger, E. M., Kaiser, T., Meert, N., De Smet, R., Walden, M., Mischak, H., Vanholder, R. C., for the European Uremic Toxin Work Group,
(2004). Proteomics: a novel tool to unravel the patho-physiology of uraemia. Nephrol Dial Transplant
19: 3068-3077
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Grooteman, M. P. C., Nube, M. J.
(2004). Impact of the type of dialyser on the clinical outcome in chronic haemodialysis patients: does it really matter?. Nephrol Dial Transplant
19: 2965-2970
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Himmelfarb, J., Pereira, B. J.G., Wesson, D. E., Smedberg, P. C., Henrich, W. L.
(2004). Payment for Quality in End-Stage Renal Disease. J. Am. Soc. Nephrol.
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Lowrie, E. G., Li, Z., Ofsthun, N., Lazarus, J. M.
(2004). Reprocessing dialysers for multiple uses: recent analysis of death risks for patients. Nephrol Dial Transplant
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Koch, M., Trapp, R., Kulas, W., Grabensee, B.
(2004). Critical limb ischaemia as a main cause of death in patients with end-stage renal disease: a single-centre study. Nephrol Dial Transplant
19: 2547-2552
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Block, G. A., Klassen, P. S., Lazarus, J. M., Ofsthun, N., Lowrie, E. G., Chertow, G. M.
(2004). Mineral Metabolism, Mortality, and Morbidity in Maintenance Hemodialysis. J. Am. Soc. Nephrol.
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Meyer, T. W., Leeper, E. C., Bartlett, D. W., Depner, T. A., Lit, Y. Z., Robertson, C. R., Hostetter, T. H.
(2004). Increasing Dialysate Flow and Dialyzer Mass Transfer Area Coefficient to Increase the Clearance of Protein-bound Solutes. J. Am. Soc. Nephrol.
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Choi, J.-H., Kim, K. L., Huh, W., Kim, B., Byun, J., Suh, W., Sung, J., Jeon, E.-S., Oh, H.-Y., Kim, D.-K.
(2004). Decreased Number and Impaired Angiogenic Function of Endothelial Progenitor Cells in Patients With Chronic Renal Failure. Arterioscler. Thromb. Vasc. Bio.
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Collins, A. J., Liu, J., Ebben, J. P.
(2004). Dialyser reuse-associated mortality and hospitalization risk in incident Medicare haemodialysis patients, 1998-1999. Nephrol Dial Transplant
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Termorshuizen, F., Dekker, F. W., van Manen, J. G., Korevaar, J. C., Boeschoten, E. W., Krediet, R. T.
(2004). Relative Contribution of Residual Renal Function and Different Measures of Adequacy to Survival in Hemodialysis Patients: An analysis of the Netherlands Cooperative Study on the Adequacy of Dialysis (NECOSAD)-2. J. Am. Soc. Nephrol.
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Chertow, G. M.
(2004). A 43-Year-Old Woman With Chronic Renal Insufficiency. JAMA
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Boure, T., Vanholder, R.
(2004). Which dialyser membrane to choose?. Nephrol Dial Transplant
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Kalantar-Zadeh, K., Block, G., Humphreys, M. H., McAllister, C. J., Kopple, J. D.
(2004). A Low, Rather than a High, Total Plasma Homocysteine Is an Indicator of Poor Outcome in Hemodialysis Patients. J. Am. Soc. Nephrol.
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Andreucci, V. E., Kerr, D. N. S., Kopple, J. D.
(2004). Rights of chronic renal failure patients undergoing chronic dialysis therapy. Nephrol Dial Transplant
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Allon, M., Depner, T. A., Radeva, M., Bailey, J., Beddhu, S., Butterly, D., Coyne, D. W., Gassman, J. J., Kaufman, A. M., Kaysen, G. A., Lewis, J. A., Schwab, S. J.
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