Literature DB >> 29348924

Mortality and Hospitalizations in Intensive Dialysis: A Systematic Review and Meta-Analysis.

Anna Mathew1, Jody-Ann McLeggon2, Nirav Mehta2, Samuel Leung2, Valerie Barta2, Thomas McGinn2, Gihad Nesrallah3,4.   

Abstract

BACKGROUND: Survival and hospitalization are critically important outcomes considered when choosing between intensive hemodialysis (HD), conventional HD, and peritoneal dialysis (PD). However, the comparative effectiveness of these modalities is unclear.
OBJECTIVE: We had the following aims: (1) to compare the association of mortality and hospitalization in patients undergoing intensive HD, compared with conventional HD or PD and (2) to appraise the methodological quality of the supporting evidence. DATA SOURCES: MEDLINE, Embase, ISI Web of Science, CENTRAL, and nephrology conference abstracts. STUDY ELIGIBILITY PARTICIPANTS AND
INTERVENTIONS: We included cohort studies with comparator arm, and randomized controlled trials (RCTs) with >50% of adult patients (≥18 years) comparing any form of intensive HD (>4 sessions/wk or >5.5 h/session) with any form of chronic dialysis (PD, HD ≤4 sessions/wk or ≤5.5 h/session), that reported at least 1 predefined outcome (mortality or hospitalization).
METHODS: We used the GRADE approach to systematic reviews and quality appraisal. Two reviewers screened citations and full-text articles, and extracted study-level data independently, with discrepancies resolved by consensus. We pooled effect estimates of randomized and observational studies separately using generic inverse variance with random effects models, and used fixed-effects models when only 2 studies were available for pooling. Predefined subgroups for the intensive HD cohorts were classified by nocturnal versus short daily HD and home versus in-center HD.
RESULTS: Twenty-three studies with a total of 70 506 patients were included. Of the observational studies, compared with PD, intensive HD had a significantly lower mortality risk (hazard ratio [HR]: 0.67; 95% confidence interval [CI]: 0.53-0.84; I2 = 91%). Compared with conventional HD, home nocturnal (HR: 0.46; 95% CI: 0.38-0.55; I2 = 0%), in-center nocturnal (HR: 0.73; 95% CI: 0.60-0.90; I2 = 57%) and home short daily (HR: 0.54; 95% CI: 0.31-0.95; I2 = 82%) intensive regimens had lower mortality. Of the 2 RCTs assessing mortality, in-center short daily HD had lower mortality (HR: 0.54; 95% CI: 0.31-0.93), while home nocturnal HD had higher mortality (HR: 3.88; 95% CI: 1.27-11.79) in long-term observational follow-up. Hospitalization days per patient-year (mean difference: -1.98; 95% CI: -2.37 to -1.59; I2 = 6%) were lower in nocturnal compared with conventional HD. Quality of evidence was similarly low or very low in RCTs (due to imprecision) and observational studies (due to residual confounding and selection bias). LIMITATIONS: The overall quality of evidence was low or very low for critical outcomes. Outcomes such as quality of life, transplantation, and vascular access outcomes were not included in our review.
CONCLUSIONS: Intensive HD regimens may be associated with reduced mortality and hospitalization compared with conventional HD or PD. As the quality of supporting evidence is low, patients who place a high value on survival must be adequately advised and counseled of risks and benefits when choosing intensive dialysis. Practice guidelines that promote shared decision-making are likely to be helpful.

Entities:  

Keywords:  hospitalization; intensive hemodialysis; meta-analysis; mortality

Year:  2018        PMID: 29348924      PMCID: PMC5768251          DOI: 10.1177/2054358117749531

Source DB:  PubMed          Journal:  Can J Kidney Health Dis        ISSN: 2054-3581


What was known before

Prior studies have yielded conflicting results on the effect of intensive hemodialysis on survival and hospitalization, related to differences in patient population and methodological issues such as selection bias and small sample size.

What this adds

We systematically reviewed the available evidence on the effect of intensive hemodialysis compared with conventional hemodialysis or peritoneal dialysis on survival and hospitalization, and applied the GRADE approach to appraise the quality of evidence. We found that intensive hemodialysis regimes may be associated with reduced mortality and hospitalization, compared with conventional hemodialysis or peritoneal dialysis, but with low or very low overall quality of evidence.

Introduction

Conventional hemodialysis (HD), comprised of 3 weekly sessions of 3- to 4-hour duration, remains the standard regimen for approximately 90% of all prevalent dialysis patients in the United States.[1] Although survival among HD patients in the United States has improved over time, long-term survival remains comparatively poor,[2,3] with adjusted all-cause mortality rates up to 7.9 times that of the general Medicare population.[2,3] Approximately 1% of all US HD patients dialyze via an intensive regimen, delivered as either short daily (5-7 weekly sessions over 1.5-3 hours in duration) or nocturnal (3-7 weekly sessions over 6-8 hours in duration) treatments, in-center or at home. Intensive HD provides enhanced solute removal, and a growing body of evidence[4-9] has suggested improvements in various physiological surrogate outcomes such as phosphate control, nutritional status, left ventricular mass, and anemia, suggesting that intensive regimens could potentially reduce the morbidity and mortality associated with HD. While conventional HD is the most common therapy, home and intensive HD therapies are becoming increasingly accessible, with more options for dialysis modalities from which patients can choose. The comparative effects of dialysis regimens on mortality have been a major research priority for decades. While it has been argued that the dialysis comparative effectiveness research agenda should shift away from survival, and toward patient-reported outcomes,[10] a recent international Delphi survey confirmed that both patients and health care professionals consider survival a critical outcome in dialysis treatment–related decision-making and research.[11] Moreover, practice guidelines generally consider survival and morbidity-related events, such as hospitalization critical outcomes in formulating practice recommendations.[12] It is well recognized that studies reporting survival outcomes with intensive HD—both randomized trials and observational designs—have yielded conflicting results due to various factors, including differences in study populations and other methodological issues.[13] For clinicians seeking to engage patients in shared decision-making around modality choice, these seemingly disparate findings are barriers to truly informed discussions of benefits and harms. We therefore undertook this systematic review and meta-analysis of mortality and hospitalization comparing intensive HD with other dialytic therapies. Our primary objective was to use formal methodological quality appraisal methods to determine which bodies of evidence should be used to inform decision-making through future practice guidelines and patient decision-aids addressing modality selection.

Materials and Methods

See Appendix A for detailed methods. This article was prepared in accordance with PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-analyses) guidelines.[14] An experienced health information specialist developed the search strategies using terms to identify studies of intensive dialysis (see Appendix B for sample search strategy). We included cohort studies with comparator arm, and randomized controlled trials (RCTs) with >50% of adult patients (≥18 years) comparing any form of intensive HD (>4 sessions/wk or >5.5 h/session) with any form of chronic dialysis (peritoneal dialysis, HD ≤4 sessions/wk or ≤ 5.5 h/session), that reported at least 1 predefined outcome (mortality or hospitalization). We excluded studies of hemodiafiltration, hemofiltration, continuous renal replacement therapy, acute kidney injury, and pre-post studies with no separate patient cohort as a comparator arm. To reduce era effects, we excluded studies published before 2000. Two reviewers independently screened citations, evaluated the eligibility of each full-text article using prepiloted eligibility forms, and resolved discrepancies by consensus. The 2 outcomes assessed were mortality and hospitalization, all-cause or cause-specific. Hospitalization was defined by either the admission rate or the number of days in hospital (per patient-year). We did not collect individual patient-level data. Two reviewers independently extracted study-level data from included studies using custom-made data extraction forms. For each outcome of interest, we extracted the unadjusted effect estimate, any adjusted effect estimates with factors included in the adjusted model, and methodological factors relevant to the quality appraisal. Disagreements in data collection were resolved by consensus.

Methodological Quality Appraisal

We applied the GRADE quality appraisal criteria summarized in GRADE evidence profile tables, which include risk of bias,[15] indirectness,[16] inconsistency,[17] imprecision,[18] and publication bias.[19] For RCTs, risk of bias was assessed using criteria proposed by the Cochrane Collaboration.[20] For observational studies, we used the modified Newcastle-Ottawa criteria proposed by the CLARITY Group.[21]

Data Synthesis

We planned to compute pooled effect estimates of randomized and observational studies separately, and used the I2 statistic to quantify heterogeneity. We used mean differences to pool the continuous outcomes of hospitalization days/patient-year and hospitalization rates/patient-year, and used hazard ratios to pool the dichotomous outcome of mortality. We used a random effects model to account for within- and between-study heterogeneity when there were more than 2 pooled studies, and a fixed model when there were 2 studies.[22] All statistical analyses were conducted using Review Manager (RevMan) Version 5.3 Copenhagen: The Nordic Cochrane Centre, The Cochrane Collaboration, 2014.

Results

Study Characteristics

Our search yielded 8198 citations. After excluding 1379 duplicates, 6819 citations were screened and 348 were reviewed in full-text. Twenty-three articles fulfilled all eligibility criteria and were included in the final review[23-45] (Figure 1), with a total of 70 506 reported patients (45 370 on conventional HD, 9582 on PD, and 15 444 on intensive dialysis). Three of the 23 included studies were RCTs,[25,28,42] and the remaining 20 were observational cohort studies. Follow-up ranged from 1 to 23 years. Study population mean age ranged from 40.9 to 55.8 years in the intensive HD group, and from 40.9 to 62.4 years in the comparator group (conventional HD or PD) (Table 1). Definitions for intensive dialysis varied by study, with 8 studies of frequent short daily HD (ranging from 5 to 6 days per week) and 15 studies of long nocturnal HD (ranging from 5.0 to 10 hours per day).
Figure 1.

Study flow diagram.

Table 1.

Baseline Characteristics of Included Studies.

AuthorYearCountryStudy duration, yStudy designFunding sourceSample size
Mean age, y (SD)
Dialysis regimen
Home vs in-center
% Prevalent patients
IntensiveControlIntensiveControlIntensiveControlIntensiveControl
h/day (mean)d/wk (mean)
Mortality studies
Intensive HD vs conventional HD
Johansen[a] NHD2009USA10Pros. Obs.NIH9494047.0 (16.3)46.7 (17.5)7.5 ± 0.825.7 ± 0.443×/wkHomeIn-center100
Johansen[a] SDHD2009USA10Pros. Obs.NIH4343040.9 (17.3)40.9 (19.1)2.9 ± 0.595.4 ± 0.503×/wkHomeIn-center100
Lacson2012USA2Pros. ObsFresenius Medical Care746206252.8 (13.4)54.1 (14.4)7.85 ± .523 ± (NR)3×/wkIn-centerIn-center100
Chertow2015USA4RCTNIH, NIDDK, CMS, DaVita, Dialysis Clinics, Fresenius Medical Care, Renal Advantage, Renal Research Institute, Satellite Healthcare12512048.9 (13.6)52.0 (14.1)2.5 ± 0.335.17 ± 1.112.88 ± 0.39 sessions per weekIn-centerIn-center100
MarshallNHD2013Australia, New Zealand10Pros. ObsAbbott Australasia Pty Ltd, Roche Products NZ Ltd, Novartis NZ Ltd & Fresenius Medical Care–Asia-Pacific Pty Ltd714360851.1 (NR)58.2 (NR)≥5.0[g]≥3×/wk[d]3×/wk[e]HomeIn-centerNR
Weinhandl2012USA3Pros. Obs.NxStage Medical Inc1873936552.2 (14.8)53.2 (14.7)NR5-6 sessions per week3×/wkHomeIn-center100
Rocco2015USA3.7RCTNIH, NIDDK, CMS454251.7 (14.4)54.0 (12.9)≥65.06 (0.80)2.91 (0.21)HomeHome100
Nesrallah2012Canada, France, USA10Ret. Obs.Baxter Healthcare Corporation, Gambro R&D, Fresenius Medical Care, and the Canadian Institutes for Health Research, Heart and Stroke Foundation of Ontario338138850.8 (12.4)52.3 (12.4)7.35 (0.87)4.8 (1.1)3×/wkHomeIn-center100
Ok[a]2011Turkey1Pros. ObsEuropean Nephrology and Dialysis Institution (ENDI, Germany)24724745.2 (13.9)45.8 (12.9)7.5 (0.33)3.9 (0.11)3×/wkIn-centerIn-center100
Von Gersdorff2010Germany3Pros. Obs.NR494494NRNR>7NR3×/wkNRNR100
KjellstrandItaly2008Italy23Pros. Obs.NR165NR51 (15)NR2.3 (0.5)NR3×/wkHome 46%In-center91
KjellstrandUSA2008USA23Pros. Obs.NR169NR55 (15)NRNR3×/wkHome 70%In-center
KjellstrandFrance/UK2008France, UK23Pros. Obs.NR81NR45 (14)NRNR3×/wkHome 88%In-center
Blagg2006USA2Pros. Obs.NR117NR55.5 (NR)NR2-3.5≥5×/wk3×/wkHome 83.8%NR100
Lockridge2011USA12Pros. Obs.NR87NR52 (15)NR7 (1)NR3×/wkHomeIn-centerNR
Suri2013Canada, USA, France10Pros. Obs.CIHR31857555.8 (18)56 (13)2.7 (0.7)5.8 (0.5)3×/wkIn-centerIn-center100
Intensive HD vs PD
Marshall[b] PD2013Australia, New Zealand10Pros. Obs.Abbott Australasia Pty Ltd, Roche Products NZ Ltd, Novartis NZ Ltd & Fresenius Medical Care–Asia-Pacific Pty Ltd714264951.1 (NR)60.4 (NR)≥5.0[b]≥3×/wk[c]PD−-−-NR
Nesrallah2016USA12Ret. Obs.2668266851.3 (14.3)51.4 (14.1)1.5-3 h5-7PDHome−-100
Weinhandl[a]2016USA3Ret. Obs.4201420153.8 (14.9)54.6 (15.0)NR5-6PDHome−-100
Hospitalization studies
Intensive HD vs conventional HD
Van Eps2010Australia3Pros. Obs.NHMRC6317251.7 (12.9)58.3 (15.5)6-93.5-53×/wkHomeIn-center100
LindsayNHD2003Canada2.5Pros. Obs.NR121744.2 (6.4)48.8 (11.9)6-85-63×/wkHomeIn-center100
Bergman2008Canada2Pros. Obs.Heart and Stroke Foundation, Physician Services Incorporated Foundation324243 (2)44 (2)8-105-63×/wkHomeIn-center100
Zimbudzi2014Australia1Ret. Obs.NR252553.6 (NR)47.4 (NR)8[g]43×/wkHomeIn- center100
Lacson2010USA1Pre-post Obs.Fresenius Medical Care65515 33451.2 (12.7)P < .000162.4 (15.0)7.85 ± 0.4833×/wkIn-centerIn-center100
Weinhandl[b]2015USA5Ret. Obs.NxStage Medical Inc208410 42054.0 (NR)54.3 (NR)NR5-63×/wkHomeIn-center100
Culleton2007Canada2RCTKidney Foundation of Canada262555.1 (12.4)53.1 (13.4)65-63×/weekHomeIn-center100
Intensive HD vs PD
Kumar2008USA5Pros. Obs.NR226452[f]54[f]2.45 (0.3)5.4 (0.5)PDHome−-23

Note. HD = hemodialysis; PD = peritoneal dialysis; NHD = nocturnal hemodialysis; SDHD = short daily hemodialysis; NR = not reported. Pros. Obs = Prospective Observational Ret. Obs = Retrospective Observationa NHMRC = National Health and Mental Research Council NIH = National Institutes of Health NIDDK = National Institute for Diabetes and Digestive Diseases CMS = Centers for Medicare and Medicaid Services CIHR = Canadian Institutes for Health Research

Hospitalization outcomes also reported.

Most contemporary reported cohort.

In 95% of sample.

In 99% of sample.

In 94% of sample.

Median.

In 61% of sample.

Study flow diagram. Baseline Characteristics of Included Studies. Note. HD = hemodialysis; PD = peritoneal dialysis; NHD = nocturnal hemodialysis; SDHD = short daily hemodialysis; NR = not reported. Pros. Obs = Prospective Observational Ret. Obs = Retrospective Observationa NHMRC = National Health and Mental Research Council NIH = National Institutes of Health NIDDK = National Institute for Diabetes and Digestive Diseases CMS = Centers for Medicare and Medicaid Services CIHR = Canadian Institutes for Health Research Hospitalization outcomes also reported. Most contemporary reported cohort. In 95% of sample. In 99% of sample. In 94% of sample. Median. In 61% of sample.

Results of Individual Studies

Effect estimates for mortality and hospitalization in individual studies are described in Tables 2 and 3. Factors included in adjustment analysis varied across studies (Table 4).
Table 2.

Mortality Event Rates From Individual Studies.

Author/yearSample size
Event rate, per patient-year
Unadjusted effect estimate
Adjusted effect estimate
IntensiveControlIntensiveControlHR (95% CI)P valueHR (95% CI)P value
Intensive HD vs conventional HD
Mortality
Johansen NHD 2009949400.0740.154NRNR0.36 (0.22-0.61).00001
Johansen SDHD 2009434300.0910.139NRNR0.64 (0.31-1.31).22
Lacson 20127462062142[a]557[a]0.69 (0.58-0.84)<.0010.75 (0.61-0.91).004
Marshall NHD 20137143608NRNR0.4 (0.33-0.49)<.050.46 (0.37-0.56)<.05
Weinhandl 2012187393650.1100.127NRNR0.87 (0.78-0.97).01
Nesrallah 201233813880.0610.1050.39 (0.29-0.52)NR0.55 (0.34-0.87).01
Ok 20112472470.01770.06230.28 (0.09-0.85).020.68 (0.1-0.98).04
Von Gersdorff 20104944940.0310.066NRNR0.75 (NR)<.03
Kjellstrand-Italy 2008165NR0.066NRNRNR0.34 (0.20-0.54)<.001
Kjellstrand-USA 2008169NR0.143NRNRNR
Kjellstrand-France/UK 200881NR0.048NRNRNR
Blagg 2006117NR0.076NRNRNR0.39 (0.19-0.51)<.005
Lockridge 201187NR0.0453NRNRNR0.30 (NR)(NR)
Suri 20133185750.1560.1091.6 (1.1-2.3).0231.3 (1.02-1.7)0.034
Hospital admission rate (admissions per patient-year)
Ok 20112472470.652.26NRNRNRNR
Lindsay-NHD 200312170.95 ± 10.93 ± 1.2NRNRNRNR
Van Eps 2010631722.0 (1.7-2.3)1.75 (1.54-1.98)NRNRNRNR
Bergman 200832420.21 ± 0.070.49 ± 0.12NRNRNRNR
Zimbudzi 201425250.720.72NRNRNRNR
Lacson 201065515 3341.261.74NRNRNRNR
Weinhandl 2015208410 4201.781.69NRNR1.03 (0.99-1.08)NR
Johansen NHD 2009949401.10.9NRNRNRNR
Johansen SDHD 2009434300.60.7NRNRNRNR
Hospitalization day rate (hospital days per patient-year)
Lindsay-NHD 200312174.8 ± 74.54 ± 6.5NRNRNRNR
Van Eps 2010631729.2 (8.6-9.9)11.61 (11.06-12.19)NRNRNRNR
Bergman 200832421.49 ± 0.663.37 ± 1.03NRNRNRNR
Zimbudzi 201425252.8 (NR)3.4 (NR)NRNRNRNR
Lacson 201065515 3349.6 (NR)13.5 (NR)NRNRNRNR
Weinhandl 2015208410 4209.649.91NRNR1.01 (0.94-1.07)NR
Johansen NHD 2009949405.8 (NR)5.6 (NR)NRNRNRNR
Johansen SDHD 2009434303.1 (NR)3.1 (NR)NRNRNRNR
Intensive HD vs PD
Mortality
Weinhandl 2016420142010.1210.151NRNR0.8 (0.73-0.87)<.001
Nesrallah 2016266826680.1270.1670.84 (0.82-0.86)<.0010.75 (0.68-0.82)<.001
Marshall PD 20137142649NRNR0.35 (0.26-0.43)<.050.45 (0.37-0.56)<.05
Hospital admission rate (admissions per patient-year)
Kumar 200822640.68 (NR)0.76 (NR)0.78.50.98.9
Weinhandl 2016420142011.741.99NRNR0.92 (0.89-0.95)NR
Hospitalization day rate (hospital days per patient-year)
Kumar 200822643.35.60.37.061.23.8
Weinhandl 20164201420110.2712.67NR0.81 (0.75-0.87)NR

Note. CI = confidence interval; HR = hazards ratio; NHD = nocturnal hemodialysis; SDHD = short daily hemodialysis; NR = not reported.

Reported as absolute number of events.

Table 3.

Mortality Event Rates From Randomized Controlled Trials.

Author/yearSample size
Event rate, per patient-year
Unadjusted effect estimate
Adjusted effect estimate
IntensiveControlIntensiveControlHR (95% CI)P valueHR (95% CI)P value
Intensive HD vs conventional HD
Mortality
Chertow 201512512020[a]34[a]NRNR0.54 (0.31-0.93)NR
Rocco 2015454214[a]5[a]NRNR3.88 (1.27-11.79).01
Hospital admission rate[b]
Culleton 200726250.62 (0.24-1.00)[a]0.84 (0.18-1.50)[a]NRNRNRNR

Note. CI = confidence interval; HR = hazards ratio; NR = not reported.

Reported as absolute number of events.

Mean rate per patient from baseline to study exit (study duration August 2004 to December 2006).

Table 4.

Factors Adjusted and Not Adjusted for in Multivariable Analysis and/or Study Design.

First AuthorYearAgeBMIComorbid conditions*CountryDiabetesDialysis vintageDry weightEducation levelESRD CauseESRD durationESRD start dateEthnicityGenderGFRHD doseHD session lengthHemoglobinHospitalizationMedicaid statusPrimary diagnosisRaceSmokingDialysis modalityTime on HDVascular accessLVMUrine volume
Johansen2009
Lacson2010
Lacson2012
Nesrallah2012
OK2010
Suri2012
Von Gersdorff2010
Kjellstrand2008
Blagg2006
Lindsay2003
Lockridge2011
Van Eps2010
Bergman[a]2008
Weinhandl2014
Marshall2013
Nesrallah2016
Weinhandl2016
Kumar2008
Weinhandl2012
Zimbudzi[b]2014

Note. BMI = body mass index; ESRD = end-stage renal disease; GFR = glomerular filtration rate; HD = hemodialysis; LVM = left ventricular mass.

Additionally adjusted for Charlson comorbidity index; cardiovascular-related, myocardial infarction; congestive heart failure; peripheral vascular disease; cerebrovascular disease; hyperparathyroidism; and cancer.

Did not adjust for any factors.

Additionally adjusted for Charlson Comorbidity Index, cardiovascular-related, myocardial infarction, congestive heart failure, peripheral vascular disease, cerebrovascular disease, hyperparathyroidism or cancer.

Mortality Event Rates From Individual Studies. Note. CI = confidence interval; HR = hazards ratio; NHD = nocturnal hemodialysis; SDHD = short daily hemodialysis; NR = not reported. Reported as absolute number of events. Mortality Event Rates From Randomized Controlled Trials. Note. CI = confidence interval; HR = hazards ratio; NR = not reported. Reported as absolute number of events. Mean rate per patient from baseline to study exit (study duration August 2004 to December 2006). Factors Adjusted and Not Adjusted for in Multivariable Analysis and/or Study Design. Note. BMI = body mass index; ESRD = end-stage renal disease; GFR = glomerular filtration rate; HD = hemodialysis; LVM = left ventricular mass. Additionally adjusted for Charlson comorbidity index; cardiovascular-related, myocardial infarction; congestive heart failure; peripheral vascular disease; cerebrovascular disease; hyperparathyroidism; and cancer. Did not adjust for any factors. Additionally adjusted for Charlson Comorbidity Index, cardiovascular-related, myocardial infarction, congestive heart failure, peripheral vascular disease, cerebrovascular disease, hyperparathyroidism or cancer. Mortality: Thirteen studies[23-35] examined mortality in intensive HD compared with conventional HD (2 RCTs and 11 observational studies). The 2 RCTs[25,28] were long-term follow-up studies from the Frequent Hemodialysis Trials group, analyzed using intention-to-treat principles, but with inconsistent continuation of the randomization intervention. In a follow-up study to the Frequent Hemodialysis Network (FHN) short daily trial over a median of 3.6 years, Chertow et al described the relative mortality hazard for daily versus conventional HD as 0.54 (95% confidence interval [CI]: 0.31-0.93). Similarly, in a follow-up to the FHN nocturnal trial over a median of 3.7 years, Rocco et al described the relative mortality hazard for follow-up for nocturnal versus conventional HD as 3.88 (95% CI: 1.27-11.79). Of the remaining 11 observational studies, the adjusted hazard ratio (HR) for intensive HD compared with conventional HD ranged from 0.36 (95% CI: 0.22-0.61) to 0.87 (95% CI: 0.78-0.97). Three observational studies examined mortality in intensive HD compared with PD.[26,43,45] The adjusted HR for intensive HD compared with PD varied from 0.45 (95% CI: 0.37-0.56) to 0.8 (95% CI: 0.73-0.87). ii. Hospitalization: One RCT[42] reported adverse events of mean hospitalizations per patient from baseline to study exit in both the nocturnal (0.62; 95% CI: 0.24-1.00) and conventional HD groups (0.84; 95% CI: 0.18-1.50) (Tables 2 and 3). Ten observational studies reported hospitalization rates. Eight compared intensive HD with conventional HD,[23,30,36-41]and 2 compared intensive HD with PD[43,44] (Tables 2 and 3). Only 3 of these studies also reported an unadjusted and/or adjusted relative treatment effect estimate comparing intensive HD with PD or conventional HD.[41,43,44]

Synthesis of Results

Due to incomplete data reporting, only 13 of the 23 studies in this systematic review were included in the meta-analysis[23,26,27,29,30,32,33,36-38,43,45,46] (Figures 2-7 and Tables 5-8).
Figure 2.

Comparative risk of mortality in nocturnal home HD versus conventional HD.

Figure 3.

Comparative risk of mortality in nocturnal in-center HD versus conventional HD.

Figure 4.

Comparative risk of mortality in short daily home HD versus conventional HD.

Figure 5.

Comparative risk of mortality in intensive HD versus PD.

Figure 6.

Comparative mean difference in hospitalization days/patient-year for nocturnal home HD versus conventional HD.

Figure 7.

Comparative mean difference in hospital admission rate/patient-year for nocturnal home HD versus conventional HD.

Table 5.

GRADE Evidence Profile Table: Effects of Nocturnal Home HD Compared With Conventional HD in Patients on Chronic HD.

Quality assessment
No. of patients
Effect
QualityImportance
No. of studiesStudy designRisk of biasInconsistencyIndirectnessImprecisionOther considerationsNocturnal home hemodialysisConventional hemodialysisRelative (95% CI)Absolute (95% CI)
All-cause mortality in observational studies
3Observational studiesSerious[a]Not seriousNot seriousNot seriousStrong association−/1146−/5936HR 0.46 (0.38-0.55)—[b]⊕⊕⚪⚪LowCritical
All-cause mortality in randomized trials
1Randomized trialsSerious[c]Not seriousNot seriousSerious[d]None14/45 (31.1%)5/42 (11.9%)HR 3.88 (1.27-11.79)269 more per 1000 (from 30 more to 657 more)⊕⊕⚪⚪LowCritical
Mean hospital days in observational studies (assessed with hospital days per patient-year)
3Observational studiesSerious[a]Not seriousNot seriousSerious[e]None107231MD 1.98 lower (2.37 lower to 1.59 lower)⊕⚪⚪⚪Very lowCritical
Mean hospitalization rate in observational studies (assessed with hospitalizations per patient-year)
3Observational studiesSerious[a]Serious[f]Not seriousSerious[g]None107231MD 0.04 lower (0.46 lower to 0.38 higher)⊕⚪⚪⚪Very lowCritical
Mean hospitalization rate in randomized trials (assessed with hospitalizations per patient-year)
1Randomized trialsSerious[h]Not seriousNot seriousSerious[d]None2725MD 0.22 lower⊕⊕⚪⚪LowCritical

Note. CI = confidence interval; HR = hazard ratio; MD = mean difference.

Risk of bias due to incomplete adjustment for prognostic factors in statistical analysis.

Absolute event counts not provided, precluding estimation of absolute event rates.

Extremely low control group event rate suggests uneven baseline prognosis between treatment groups.

Low event rates and small overall sample size reduce precision for this outcome; optimal information size criterion not met.

Small sample size; observed effect may be due to random error.

I2 = 77% for pooled effect estimate, possibly due to unexplained heterogeneity in study population and study design.

CI overlaps, no effect.

Lack of blinding may have biased hospitalization practices and adjudication of hospitalization events.

Table 6.

GRADE Evidence Profile Table: Effects of Nocturnal In-Center HD Compared With Conventional HD in Patients on Chronic HD.

Quality assessment
No. of patients
Effect
QualityImportance
No. of studiesStudy designRisk of biasInconsistencyIndirectnessImprecisionOther considerationsNocturnal in center HDconventional HDRelative (95% CI)Absolute (95% CI)
Mortality
2Observational studiesSerious[a]Serious[b]Not seriousNot seriousNone−/993−/3209HR 0.73 (0.60 to 0.90) [c] ⊕⚪⚪⚪Very lowCritical

Note. HD = hemodialysis; CI = confidence interval; HR = hazard ratio;

Some concern for incomplete adjustment for prognostic factors in statistical analysis.

I2 = 57% for pooled effect estimate, could not exclude heterogeneity due to study design.

Absolute event counts not provided, precluding estimation of absolute event rates.

Table 7.

GRADE Evidence Profile Table: Effects of Short Daily Home HD Compared With Conventional HD in Patients on Chronic HD.[a]

Quality assessment
No. of patients
Effect
QualityImportance
No. of studiesStudy designRisk of biasInconsistencyIndirectnessImprecisionOther considerationsShort daily home HDConventional HDRelative (95% CI)Absolute (95% CI)
Mortality
4Observational studiesSerious[a]Serious[b]Not seriousNot seriousNone−/2448−/9795HR 0.54 (0.31 to 0.95) [c] ⊕⚪⚪⚪⚪Very lowCritical

Note. Only 1 study compared short daily in-center HD with conventional HD, precluding pooling. HD = hemodialysis; CI = confidence interval; HR = hazard ratio.

Concerns that selection of exposed and unexposed from different population, and concern for residual confounding.

I2 = 82% for pooled effect estimate, possibly due to unexplained heterogeneity in study design.

Absolute event counts not provided, precluding estimation of absolute event rates.

Table 8.

GRADE Evidence Profile Table: Effects of Intensive HD Compared With PD in Patients on Chronic HD.

Quality assessment
No. of patients
Effect
QualityImportance
No. of studiesStudy designRisk of biasInconsistencyIndirectnessImprecisionOther considerationsIntensive HDPDRelative (95% CI)Absolute (95% CI)
Mortality
3Observational studiesSerious[a]Serious[b]Not seriousNot seriousNone−/7583−/9538HR 0.67 (0.53 to 0.84) [c] ⊕⚪⚪⚪Very lowCritical

Note. HD = hemodialysis; PD = peritoneal dialysis; CI = confidence interval; HR = hazard ratio.

Concern for lack of matching on prognostic factors and adjustment in statistical analysis.

I2 = 91% for pooled effect estimate, with unexplained heterogeneity possibly due to study design and population.

Absolute event counts not provided, precluding estimation of absolute event rates.

Comparative risk of mortality in nocturnal home HD versus conventional HD. Comparative risk of mortality in nocturnal in-center HD versus conventional HD. Comparative risk of mortality in short daily home HD versus conventional HD. Comparative risk of mortality in intensive HD versus PD. Comparative mean difference in hospitalization days/patient-year for nocturnal home HD versus conventional HD. Comparative mean difference in hospital admission rate/patient-year for nocturnal home HD versus conventional HD. GRADE Evidence Profile Table: Effects of Nocturnal Home HD Compared With Conventional HD in Patients on Chronic HD. Note. CI = confidence interval; HR = hazard ratio; MD = mean difference. Risk of bias due to incomplete adjustment for prognostic factors in statistical analysis. Absolute event counts not provided, precluding estimation of absolute event rates. Extremely low control group event rate suggests uneven baseline prognosis between treatment groups. Low event rates and small overall sample size reduce precision for this outcome; optimal information size criterion not met. Small sample size; observed effect may be due to random error. I2 = 77% for pooled effect estimate, possibly due to unexplained heterogeneity in study population and study design. CI overlaps, no effect. Lack of blinding may have biased hospitalization practices and adjudication of hospitalization events. GRADE Evidence Profile Table: Effects of Nocturnal In-Center HD Compared With Conventional HD in Patients on Chronic HD. Note. HD = hemodialysis; CI = confidence interval; HR = hazard ratio; Some concern for incomplete adjustment for prognostic factors in statistical analysis. I2 = 57% for pooled effect estimate, could not exclude heterogeneity due to study design. Absolute event counts not provided, precluding estimation of absolute event rates. GRADE Evidence Profile Table: Effects of Short Daily Home HD Compared With Conventional HD in Patients on Chronic HD.[a] Note. Only 1 study compared short daily in-center HD with conventional HD, precluding pooling. HD = hemodialysis; CI = confidence interval; HR = hazard ratio. Concerns that selection of exposed and unexposed from different population, and concern for residual confounding. I2 = 82% for pooled effect estimate, possibly due to unexplained heterogeneity in study design. Absolute event counts not provided, precluding estimation of absolute event rates. GRADE Evidence Profile Table: Effects of Intensive HD Compared With PD in Patients on Chronic HD. Note. HD = hemodialysis; PD = peritoneal dialysis; CI = confidence interval; HR = hazard ratio. Concern for lack of matching on prognostic factors and adjustment in statistical analysis. I2 = 91% for pooled effect estimate, with unexplained heterogeneity possibly due to study design and population. Absolute event counts not provided, precluding estimation of absolute event rates. Nocturnal HD versus conventional HD: Three observational studies[23,26,29] reported risk of all-cause mortality in nocturnal home HD compared with conventional HD, with a pooled hazard ratio of 0.46 (95% CI: 0.38-0.55; I2 = 0%), favoring nocturnal home HD over conventional HD. Two observational studies[30,46] reported risk of all-cause mortality in nocturnal in-center HD compared with conventional HD, and favored nocturnal in-center HD (HR: 0.73; 95% CI: 0.60-0.90; I2 = 57%). Only 1 RCT[28] by Rocco et al reported mortality in this patient group, precluding pooling. Three studies[36-38] reported mean hospitalization days per patient-year in nocturnal home HD compared with conventional HD, with a pooled mean difference of −1.98 (95% CI: –2.37 to −1.59; I2 = 6%) favoring nocturnal HD. The mean hospital admission rate per patient-year favored nocturnal home HD, with a pooled mean difference of −0.04 (95% CI: –0.46 to 0.38; I2 = 77%). ii. Short Daily HD versus conventional HD: Four studies[23,27,32,33] reported risk of all-cause mortality in short daily home HD compared with conventional HD, and favored short daily home HD (HR: 0.54; 95% CI: 0.31-0.95; I2 = 82%). One observational study[35] by Suri et al and one RCT[25] by Chertow et al compared short daily, in-center HD with conventional HD, precluding pooling of estimates for this predefined group. iii. Intensive HD versus PD: Three studies[26,43,45]reported risk of all-cause mortality in intensive HD compared with PD (2 examined nocturnal home HD, and 1 examined short daily, home HD). Pooled HR was 0.67 (95% CI: 0.53-0.84; I2 = 57%) favoring intensive HD over PD. The remainder of studies in predefined patient groups did not report adequate data such as measures of dispersion, precluding pooling.

Methodological Quality

Tables 5 to 8 summarize the quality appraisal by predefined patient groups on an outcome-by-outcome basis. RCTs assessed outcomes of mortality and hospitalization rate in nocturnal home HD. Quality of evidence for the RCTs assessing mortality was low (imprecision). Quality of evidence for the RCT assessing hospitalization rate was also low (imprecision and risk of bias due to lack of blinding). For observational studies, risk of bias was serious in all pooled estimates. Concern for risk of bias was due to incomplete adjustment for all important prognostic factors and selection of exposed and unexposed cohorts from different populations (Appendix C). Inconsistency (due to heterogeneity from study design, study population characteristics, treatment indication, or unexplained heterogeneity) and imprecision (due to small sample size or CIs overlapping no effect) also affected the quality of most estimates. Small numbers of included studies in any predefined patient group precluded meaningful analysis of publication bias by funnel plots. The overall quality of evidence was low or very low for critical outcomes.

Discussion

To our knowledge, this is the first systematic review and meta-analysis of mortality and hospitalization in intensive HD compared with conventional HD and PD. Compared with conventional HD, nocturnal home HD, nocturnal in-center HD, and short daily home HD were all significantly associated with decreased mortality. Intensive HD was also significantly associated with decreased mortality when compared with PD. With respect to hospitalization outcomes, nocturnal home HD was significantly associated with decreased rate of hospitalization days per year, but had no appreciable association with the rate of hospital admissions per year. The overall quality of evidence for these outcomes was similarly low across observational studies (primarily due to residual confounding and selection bias) and RCTs (primarily related to imprecision due to small study populations and low event rates) for a given modality comparison. Among the studies reporting outcomes with nocturnal home HD, one RCT by Rocco et al[28] reported higher mortality in patients on nocturnal home HD versus conventional HD. In contrast, our pooled analysis of observational studies found reduced mortality with home nocturnal HD. Reasons for this discrepancy may include the following: (1) The RCT was not powered to detect differences in mortality alone, and observed differences in patient survival could be explained by chance alone; (2) RCT conventional HD participants had a very low death rate of 0.032 events per patient-year, 5-fold lower compared with HD patients in the US Renal Data System,[47] thus increasing the risk of type I error; (3) frequent modality changes over long-term follow-up precluded attributing causality to the baseline dialysis regimen—the as-treated analysis of the FHN nocturnal cohorts using the prior 6-month average exposure in fact found no significant difference in long-term survival[28]; (4) in the observational studies, patients who selected home nocturnal HD represent a healthy population with lower mortality risk, with residual confounding remaining despite statistical adjustment; and (5) loss of residual renal function in the predominantly incident nocturnal HD patients of the RCT (median dialysis vintage 0.9 years) may have contributed to the observed increased mortality.[48,49] The observational studies in our pooled analysis did not report residual kidney function, but included prevalent patients who had likely lost most residual function at the time of cohort entry. Patients on nocturnal dialysis in the reports by Johansen et al[23] and Nesrallah et al[29] had a mean time on dialysis of 5 to 6 years at enrolment. Marshall et al[26] included only incident conventional HD patients, while intensive HD patients were all prevalent patients. Loss of residual kidney function in the conventional HD group may have contributed to their observed increased mortality. Among the studies reporting on short daily HD patients treated in-center, we identified one observational study and one RCT. Using international registry data and a matched cohort design, Suri et al[35] reported higher mortality with in-center short daily HD compared with conventional HD (very low quality of evidence due to risk of bias from incomplete risk adjustment). Conversely, in the long-term follow-up study of FHN daily trial participants, Chertow et al[25] reported lower mortality for in-center short daily HD patients (moderate quality of evidence—rated down one level for imprecision). However, patients in the study by Suri et al were older, had more comorbidities, had a high overall mortality rate, and were typically prescribed daily HD as a “salvage” therapy.[35] Their higher death rate compared with matched controls may have been due to incomplete risk adjustment for disease severity, frailty, and other factors. Conversely, patients in the FHN daily study were healthier and younger and clinical trial participants with an unusually low death rate of only 4% in the first year.[25] These studies therefore inform clearly different clinical effectiveness questions. Our pooled results also indicated that intensive HD was associated with a lower mortality than PD (very low quality evidence due to risk of bias and inconsistency). All 3 studies included in the meta-analysis compared a home intensive HD regimen with PD, and used advanced modeling and matching techniques to account for measured between-group case-mix differences. Unmeasured potent prognostic factors such as self-efficacy or functional ability may have resulted in some residual confounding favoring home intensive HD.[50,51] The available data did now enable a subgroup analysis evaluating the effects of a PD-first approach among patients who later switch to intensive home HD. We identified only 1 RCT[42] examining hospitalization in intensive HD, which precluded pooling. Our meta-analysis of studies examining hospitalization outcomes found that intensive HD was associated with a lower number of hospitalization days per patient-year. This is in line with findings by Ting et al[8] (excluded for no comparator group), where 42 patients who were converted from conventional HD to short daily HD had a 34.4% reduction in hospitalization days. For intensive HD patients who dialyze at home, greater self-efficacy may have facilitated earlier discharge from hospital. It is important to note that the intervention of intensive HD itself may confer complications beyond those included in our review. Increased access frequency has been associated with complications including need for thrombectomy and surgical revision.[52] Alternate needling methods, such as buttonhole cannulation, may be associated with increased risk of infection.[53] Long hours of nocturnal HD may lead to electrolyte imbalances (hypokalemia, hypophosphatemia), and fluid removal associated hypotension with organ ischemia.[54] More frequent or long hours of exposure of blood to the dialyzer membrane may be associated with increased inflammation[55] and decreased survival.[56,57] Strengths of our study include the use of rigorous systematic review and quality appraisal methods, resulting in evidence summaries that are usable by a range of audiences. Our study’s limitations are primarily those of the included studies as described in our quality appraisal. Additional potential limitations include the following: (1) Our a priori definitions of eligible intensive dialysis prescriptions may have resulted in exclusion of some studies; (2) we identified some variability in dialysis technology, including the use of low-flow dialysate systems, which may have introduced clinical heterogeneity in our meta-analyses; and (3) our findings should not be extrapolated to patients outside of the inclusion criteria of the RCTs and observational studies in this review, which generally include nonpregnant, maintenance HD patients without mental incapacity, medical contraindications to intensive dialysis, or short lifespan (eg, less than 6 months). In addition, the FHN Short Daily study[25] excluded patients with residual kidney function of greater than 3 mL/min per 35 L. Finally, we did not study quality of life, transplantation, and vascular access outcomes, and cannot issue general guidance regarding modality choice and these critical outcomes. Based on our findings, we recommend several future avenues of research and work. First, clinical practice guidelines and decision-aids addressing dialysis modality selection with an emphasis on shared-decision making are needed. While strong recommendations based on high-quality evidence are desirable, guidelines can be most useful when there is less certainty surrounding treatment effects. When confidence in treatment effect measures is low, guideline statements will typically be qualified or “conditional,” and provide direction not on a specific treatment option, but rather on how clinicians should engage patients in shared decision-making, including which values and preferences to elicit when considering a pair of treatment alternatives.[58] Second, our review findings challenge the notion that all dialysis modalities provide similar outcomes. Currently, the only modality selection guideline published to date endorses a “modality-neutral” approach, in which patients are advised to focus on preferences rather than outcomes.[59] However, our findings suggest that some fully informed and highly motivated patients may consider more intensive regimens. Patients who place a very high value on survival may choose an intensive HD regimen despite the increased effort and despite the uncertainty in the published evidence. Thus, comparative effectiveness research of dialysis modalities is needed to aid in reducing uncertainty around candidate treatment alternatives, and obtaining truly informed consent. Third, international standards for patient decision-aids have been established and the inclusion of up-to-date quality-appraised evidence summaries of dialysis modality selection in these knowledge products is considered essential to truly informed patient choice.[60] Finally, studies evaluating the effects of intensive dialysis for patients with specific clinical indications (frailty, severe heart disease, restoring fertility, improving obstetrical outcomes) would be of significant value.

Conclusion

Home and intensive HD therapies continue to proliferate globally, calling on more clinicians to engage patients in discussing increasingly complex treatment decisions. We found the quality of supporting evidence is low, and thus, patients who place a high value on survival must be adequately advised and counseled of risks and benefits when choosing intensive dialysis. Survival is but one among several critical outcomes that patients must weigh against their other needs, values, and preferences. Moving toward more transparent and evidence-informed decision making seems not only timely but essential.

Risk of Bias Assessment for Studies Included in Meta-Analysis.

AuthorYearQ1Q2Q3Q4Q5Q6Q7Q8
Johansen2009Definitely yesDefinitely yesDefinitely yesMostly yesProbably yesDefinitely yesDefinitely yesDefinitely yes
Lacson2010Probably yesDefinitely yesDefinitely yesMostly yesProbably yesDefinitely yesDefinitely yesDefinitely yes
Lacson2012Definitely yesDefinitely yesDefinitely yesMostly yesProbably yesDefinitely yesDefinitely yesProbably yes
Nesrallah2012Probably noDefinitely yesDefinitely yesMostly yesProbably yesDefinitely yesDefinitely yesDefinitely yes
OK2010Definitely yesDefinitely yesDefinitely yesMostly yesProbably yesDefinitely yesDefinitely yesProbably yes
Suri2012Probably yesDefinitely yesDefinitely yesMostly yesProbably yesDefinitely yesDefinitely yesProbably yes
Von Gersdorff2010Definitely yesDefinitely yesDefinitely yesMostly noProbably yesDefinitely yesDefinitely yesProbably yes
Kjellstrand2008Probably noDefinitely yesDefinitely yesMostly yesMostly yesDefinitely yesDefinitely yesProbably yes
Blagg2006Probably noDefinitely yesDefinitely yesMostly noProbably noProbably yesProbably yesDefinitely no
Lindsay2003Definitely noDefinitely yesDefinitely yesMostly noMostly noDefinitely yesProbably yesProbably yes
Lockridge2011Definitely noDefinitely yesDefinitely yesMostly yesProbably yesDefinitely yesDefinitely yesProbably yes
Van Epps2010Probably noProbably yesDefinitely yesMostly yesMostly yesDefinitely yesProbably yesProbably yes
Bergman2008Probably noDefinitely yesDefinitely yesMostly yesProbably yesDefinitely yesDefinitely yesProbably yes
Weinhandl2014Definitely yesDefinitely yesDefinitely yesMostly yesProbably yesDefinitely yesDefinitely yesProbably yes
Weinhandl2012Definitely yesDefinitely yesDefinitely yesMostly yesProbably yesDefinitely yesDefinitely yesProbably yes
Marshall2013Probably noDefinitely yesDefinitely yesMostly yesProbably yesDefinitely yesDefinitely yesProbably yes
Nesrallah2016Probably yesDefinitely yesProbably yesMostly yesProbably yesDefinitely yesDefinitely yesProbably yes
Weinhandl2016Probably yesDefinitely yesDefinitely yesMostly yesProbably yesDefinitely yesDefinitely yesProbably yes
Kumar2008Definitely yesDefinitely yesDefinitely yesMostly yesProbably yesDefinitely yesDefinitely yesProbably yes
Zimbudzi2014Definitely yesDefinitely yesDefinitely yesMostly noDefinitely noDefinitely yesProbably yesProbably no
  52 in total

1.  Short daily hemodialysis and nutritional status.

Authors:  R Galland; J Traeger; W Arkouche; E Delawari; D Fouque
Journal:  Am J Kidney Dis       Date:  2001-01       Impact factor: 8.860

2.  Educating end-stage renal disease patients on dialysis modality selection: clinical advice from the European Renal Best Practice (ERBP) Advisory Board.

Authors:  Adrian Covic; Bert Bammens; Thierry Lobbedez; Liviu Segall; Olof Heimbürger; Wim van Biesen; Denis Fouque; Raymond Vanholder
Journal:  Nephrol Dial Transplant       Date:  2010-04-14       Impact factor: 5.992

3.  GRADE guidelines: 2. Framing the question and deciding on important outcomes.

Authors:  Gordon H Guyatt; Andrew D Oxman; Regina Kunz; David Atkins; Jan Brozek; Gunn Vist; Philip Alderson; Paul Glasziou; Yngve Falck-Ytter; Holger J Schünemann
Journal:  J Clin Epidemiol       Date:  2010-12-30       Impact factor: 6.437

4.  Long-Term Effects of Frequent In-Center Hemodialysis.

Authors:  Glenn M Chertow; Nathan W Levin; Gerald J Beck; John T Daugirdas; Paul W Eggers; Alan S Kliger; Brett Larive; Michael V Rocco; Tom Greene
Journal:  J Am Soc Nephrol       Date:  2015-10-14       Impact factor: 10.121

5.  GRADE guidelines: 5. Rating the quality of evidence--publication bias.

Authors:  Gordon H Guyatt; Andrew D Oxman; Victor Montori; Gunn Vist; Regina Kunz; Jan Brozek; Pablo Alonso-Coello; Ben Djulbegovic; David Atkins; Yngve Falck-Ytter; John W Williams; Joerg Meerpohl; Susan L Norris; Elie A Akl; Holger J Schünemann
Journal:  J Clin Epidemiol       Date:  2011-07-30       Impact factor: 6.437

6.  Developing a Set of Core Outcomes for Trials in Hemodialysis: An International Delphi Survey.

Authors:  Nicole Evangelidis; Allison Tong; Braden Manns; Brenda Hemmelgarn; David C Wheeler; Peter Tugwell; Sally Crowe; Tess Harris; Wim Van Biesen; Wolfgang C Winkelmayer; Benedicte Sautenet; Donal O'Donoghue; Helen Tam-Tham; Sajeda Youssouf; Sreedhar Mandayam; Angela Ju; Carmel Hawley; Carol Pollock; David C Harris; David W Johnson; Dena E Rifkin; Francesca Tentori; John Agar; Kevan R Polkinghorne; Martin Gallagher; Peter G Kerr; Stephen P McDonald; Kirsten Howard; Martin Howell; Jonathan C Craig
Journal:  Am J Kidney Dis       Date:  2017-02-24       Impact factor: 8.860

7.  Inflammation enhances cardiovascular risk and mortality in hemodialysis patients.

Authors:  J Zimmermann; S Herrlinger; A Pruy; T Metzger; C Wanner
Journal:  Kidney Int       Date:  1999-02       Impact factor: 10.612

8.  Arteriovenous fistula survival and needling technique: long-term results from a randomized buttonhole trial.

Authors:  Jennifer M Macrae; Sofia B Ahmed; Brenda R Hemmelgarn
Journal:  Am J Kidney Dis       Date:  2013-11-13       Impact factor: 8.860

9.  Survival and hospitalization among patients using nocturnal and short daily compared to conventional hemodialysis: a USRDS study.

Authors:  Kirsten L Johansen; Rebecca Zhang; Yijian Huang; Shu-Cheng Chen; Christopher R Blagg; Alexander S Goldfarb-Rumyantzev; Chistopher D Hoy; Robert S Lockridge; Brent W Miller; Paul W Eggers; Nancy G Kutner
Journal:  Kidney Int       Date:  2009-08-19       Impact factor: 10.612

10.  Long-term study of high-comorbidity ESRD patients converted from conventional to short daily hemodialysis.

Authors:  George O Ting; Carl Kjellstrand; Terri Freitas; Brian J Carrie; Shahrzad Zarghamee
Journal:  Am J Kidney Dis       Date:  2003-11       Impact factor: 8.860

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  6 in total

1.  Home versus In-Center Dialysis and Day of the Week Hospitalization: A Cohort Study.

Authors:  Karthik K Tennankore; Annie-Claire Nadeau-Fredette; Kara Matheson; Christopher T Chan; Emilie Trinh; Jeffrey Perl
Journal:  Kidney360       Date:  2021-10-22

Review 2.  Hypertension and cardiomyopathy associated with chronic kidney disease: epidemiology, pathogenesis and treatment considerations.

Authors:  Jonathan P Law; Luke Pickup; Davor Pavlovic; Jonathan N Townend; Charles J Ferro
Journal:  J Hum Hypertens       Date:  2022-09-22       Impact factor: 2.877

3.  Human factors testing of the Quanta SC+ hemodialysis system: An innovative system for home and clinic use.

Authors:  Oksana Harasemiw; Clara Day; John E Milad; James Grainger; Thomas Ferguson; Paul Komenda
Journal:  Hemodial Int       Date:  2019-04-09       Impact factor: 1.812

Review 4.  Epidemiology of haemodialysis outcomes.

Authors:  Aminu K Bello; Ikechi G Okpechi; Mohamed A Osman; Yeoungjee Cho; Htay Htay; Vivekanand Jha; Marina Wainstein; David W Johnson
Journal:  Nat Rev Nephrol       Date:  2022-02-22       Impact factor: 42.439

Review 5.  Artificial Kidney Engineering: The Development of Dialysis Membranes for Blood Purification.

Authors:  Yu-Shuo Tang; Yu-Cheng Tsai; Tzen-Wen Chen; Szu-Yuan Li
Journal:  Membranes (Basel)       Date:  2022-02-02

6.  Enhancement of solute clearance using pulsatile push-pull dialysate flow for the Quanta SC+: A novel clinic-to-home haemodialysis system.

Authors:  Clive Buckberry; Nicholas Hoenich; Detlef Krieter; Horst-Dieter Lemke; Marieke Rüth; John E Milad
Journal:  PLoS One       Date:  2020-03-02       Impact factor: 3.240

  6 in total

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