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Cochrane Database of Systematic Reviews Protocol - Intervention

Home versus in‐centre haemodialysis for end‐stage kidney disease

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Abstract

This is a protocol for a Cochrane Review (Intervention). The objectives are as follows:

To evaluate the benefits and harms of home haemodialysis versus in‐centre haemodialysis in individuals with ESKD.

Background

Description of the condition

Patients with end‐stage kidney disease (ESKD) require dialysis or kidney transplantation to remove accumulated solutes and fluid. Haemodialysis is the most common dialysis modality, used by over 90% of individuals with ESKD in the United States (USRDS 2010) and between 60% and 80% of patients in Australia and New Zealand (ANZDATA 2009). While the number of individuals receiving haemodialysis is increasing by approximately 2% to 4% per year (ANZDATA 2009; USRDS 2010), and despite improvements in dialysis technologies, the annual mortality of individuals on haemodialysis is approximately 15%, although may be improving if adjustments for baseline comorbidities are considered. Mortality rates, particularly cardiovascular deaths while on dialysis, are 30 to 50 times that of the general population (de Jager 2009; Roberts 2011) and have remained unchanged over the last decade (USRDS 2010). Dialysis is associated with a high symptom burden (Davison 2006; Davison 2010) including depression (Hedayati 2006), fatigue (Jhamb 2009), sexual dysfunction (Navaneethan 2010; Vecchio 2010), disordered sleep (Unruh 2008) and pain. Individuals on dialysis are often unable to work (fewer than 10% to 25% are employed, although many are retired or were not working before commencing dialysis) (Kutner 1991; van Manen 2001) and report lower quality of life than kidney transplant recipients and the general population (Bremer 1989; Evans 1985).

Description of the intervention

Haemodialysis is usually performed in hospital or dialysis clinics (in‐centre haemodialysis), where dialysis and needle insertion are generally provided by nursing or technical staff and treatments consist of 3 sessions/week for 3.0 to 5.5 hours/session. Home haemodialysis, where the individual performs the haemodialysis procedure at home has been available for decades, although the numbers of people with ESKD dialysing at home is currently low. Home haemodialysis now represents 12% to 25% of all haemodialysis in Australia and New Zealand (ANZDATA 2009) whereas approximately 4000 of the nearly 400,000 prevalent patients on haemodialysis (∼1%) in the United States perform haemodialysis at home (USRDS 2010). This is in contrast to the 1970's when about half of patients on haemodialysis were treated at home (Agar 2009).

Home haemodialysis requires one to four months training of the patient within a clinic or hospital‐based training programme. The haemodialysis machine is installed in the patient's home during this time potentially requiring modifications to accommodate the machine and provision of an appropriate water and power supply. Home haemodialysis, where one dialysis machine is provided per patient, allows flexible treatment schedules and longer treatment times than conventional in‐centre haemodialysis. Dialysis sessions can be long (6 to 10 hours, 3 to 7 times/week) or short and frequent (1.5 to 2 hours, 5 to 7 times/week) and treatment schedules can be changed to suit other patient commitments. Sleeping during long‐slow dialysis overnight, removing the need to dialyse during the day, may facilitate returning to work. Technical assistance can be provided to the patient at home when needed for machine maintenance and supply of consumables. Blood tests are monitored at a frequency determined by the dialysis provider and the frequency of routine assessment visits to hospital nephrology staff with home haemodialysis is variable and may be as infrequent as yearly (McGregor 2000). A dialysis helper (often a spouse or family member) is usually required in the home during dialysis in case the individual needs assistance.

How the intervention might work

Home haemodialysis may be associated with improved survival compared with in‐centre haemodialysis (Charra 1992; Mailloux 1988; McGregor 2000; Nitsch 2010; Saner 2005;Woods 1996), However because observational cohort studies are uncontrolled or confounded by indication (patients on home haemodialysis are generally younger, more often male, and with fewer comorbidities), this evidence of association is weak. Home haemodialysis may improve outcomes through longer treatment times; longer dialysis duration is associated with lower mortality, which persists even when adjusted for haemodialysis dose (the amount of solute clearance) (Held 1991; Marshall 2006; Saran 2006). Home haemodialysis has also been associated with improved blood pressure and phosphorus levels, rehabilitation, quality of life, and other positive aspects of self‐care (autonomy, preferred self‐identity) (Cases 2011; Walsh 2005). Recent randomised controlled trials (RCTs) have demonstrated the superiority of more frequent haemodialysis on composite outcomes of death or change in ventricular mass (FHN Trial Group 2010), while frequent nocturnal dialysis (6 hours, 5 to 6 times/week) improves left ventricular mass, phosphorus control (Walsh 2010) and some components of quality‐of‐life compared with conventional in‐centre haemodialysis (Culleton 2007). Home haemodialysis can achieve both more frequent dialysis and longer dialysis times, suggesting improved survival compared with in‐centre haemodialysis.

Why it is important to do this review

Home haemodialysis has long been available, potentially providing improved treatment flexibility, better quality of life, and lower mortality. On the other hand the increased responsibilities of patients and their families may have negative effects on overall health, including a potentially greater need for hospitalisations for vascular access and lower quality of life due to increased treatment burden. If home haemodialysis is to be promoted and funded, it is necessary to summarise critically the available evidence on the efficacy and safety of home haemodialysis, and highlight research questions that need additional investigation in future RCTs.

Objectives

To evaluate the benefits and harms of home haemodialysis versus in‐centre haemodialysis in individuals with ESKD.

Methods

Criteria for considering studies for this review

Types of studies

We will consider for inclusion all RCTs and quasi‐RCTs (studies in which allocation to treatment was obtained by alternation, use of alternate medical records, date of birth or other predictable methods) of home haemodialysis compared with in‐centre haemodialysis in individuals with ESKD requiring renal replacement therapy (RRT). Studies longer than three months will be considered. Non‐randomised studies will not be eligible. Cross‐over studies will be considered.

Types of participants

  • All individuals with ESKD. Participants may already be established on haemodialysis or peritoneal dialysis and are then randomised to haemodialysis (home or in‐centre haemodialysis).

  • Participants may also have chronic kidney disease (CKD) and are expected to commence haemodialysis within a time‐frame designated by the study investigators.

Types of interventions

We will include studies in which participants are randomised to home haemodialysis or in‐centre haemodialysis. Haemodialysis can be provided using any dialysis machine, dialysate, blood or dialysate flow rate, membrane type, dialysis dose (urea clearance), or vascular access type (central venous catheter, or arteriovenous fistula or graft).

  • Home haemodialysis is defined as any type of haemodialysis, haemodiafiltration, or haemofiltration carried out by the patient, technician, or nurse, at home. We will include any duration of dialysis and any frequency in either treatment arm.

  • In‐centre haemodialysis will include dialysis provided in a hospital unit, a private dialysis provider, or a satellite dialysis unit in which nursing or technical staff provide dialysis care.

Studies of haemodialysis performed at self‐care facilities other than home will not be considered. RCTs evaluating peritoneal dialysis as a home dialysis modality will not be included.

Types of outcome measures

  • Mortality and cardiovascular events

    • All‐cause mortality

    • Cardiovascular mortality (fatal myocardial infarction, fatal stroke, sudden death, heart failure)

    • Composite endpoints of major adverse cardiovascular events and death

    • Non‐cardiovascular mortality

    • Non‐fatal myocardial infarction

    • Non‐fatal stroke

    • Revascularisation

    • Hospitalisation (all‐cause, cardiovascular cause, unrelated to vascular access)

  • Quality of life: we will consider and tabulate where necessary all reports of quality of life outcomes using any instrument. We will conduct meta‐analyses when sufficient studies report quality of life outcomes using a single instrument. This will include measures of depression, household financial stress. We will also assess end‐of‐treatment employment status (employed, unemployed, not eligible for employment)

  • Symptoms during dialysis (intradialytic cramping, hypotension, nausea, vomiting, headache)

  • Complications secondary to vascular access

    • Hospitalisation due to vascular access complication or procedure (≥1 event)

    • Access‐related bacteraemia (≥1 event)

    • Insertion or replacement of dialysis central venous catheter (≥1 event)

    • Vascular access intervention including surgery or percutaneous intervention (≥1 event)

    • Vascular access angiogram (≥1 event)

    • Time to access failure; access failure (≥1 event)

  • Blood pressure (pre‐dialysis systolic and diastolic blood pressure at end‐of‐treatment) (mmHg)

  • Change in predialysis blood pressure (mmHg)

  • Number and dose of blood pressure medications at end‐of‐treatment

  • Change in number of blood pressure medications at end‐of‐treatment

  • Left ventricular mass (described using any diagnostic tool including magnetic resonance imaging or echocardiography (g; g/m²), considered separately according to diagnostic tool and summarized using standardized mean differences)

  • Haemoglobin at end‐of‐treatment (g/dL; m/m²)

  • Serum phosphorus at end‐of‐treatment (mg/dL)

  • Serum calcium at end‐of‐treatment (mg/dL)

  • Serum beta‐2‐microglobulin at end of study

  • Serum calcium by phosphorus product at end‐of‐treatment (mg²/dL²)

  • Number and dose of phosphorus binding agents at end‐of‐treatment

  • Number and dose of blood pressure lowering agents at end‐of‐treatment

  • Number and dose of any other drugs at end‐of‐treatment

  • Change in number of blood pressure lowering drugs at end of treatment

  • Dose of vitamin D compounds at end‐of‐treatment

  • Dose of epoetin at end‐of‐treatment (units or units/kg) calculated as erythropoietin‐equivalent doses

  • Parathyroidectomy

  • Wait‐listing for kidney transplant

  • Recovery time

  • Waking hours free for living

  • Hospital‐acquired infection rate

We will tabulate other adverse events reported in available studies.

Primary outcomes

  • Mortality (all‐cause and cause‐specific)

  • One or more cardiovascular events (myocardial infarction; stroke; heart failure; need for any revascularization including coronary, carotid, or peripheral vascular)

  • Quality of life

Secondary outcomes

  • Number of participants requiring one or more red cell transfusions during follow‐up

  • Progression of CKD in participants with CKD not yet requiring RRT (dialysis or kidney transplantation)

  • Adverse events (hypertension, hyperkalaemia, seizures, need for intervention on vascular access)

  • Number of participants achieving target haemoglobin levels (as defined by study investigators)

Search methods for identification of studies

Electronic searches

We will search the Cochrane Renal Group's Specialised Register through contact with the Trials' Search Co‐ordinator using search terms relevant to this review.

The Cochrane Renal Group’s Specialised Register contains studies identified from:

  1. Quarterly searches of the Cochrane Central Register of Controlled Trials CENTRAL;

  2. Weekly searches of MEDLINE OVID SP;

  3. Handsearching of kidney‐related journals and the proceedings of major renal conferences;

  4. Searching of the current year of EMBASE OVID SP;

  5. Weekly current awareness alerts for selected kidney journals;

  6. Searches of the International Clinical Trials Register (ICTRP) Search Portal and ClinicalTrials.gov

Studies contained in the specialised register are identified through search strategies for CENTRAL, MEDLINE and EMBASE based on the scope of the Cochrane Renal Group. Details of these strategies as well as a list of handsearched journals, conference proceedings and current awareness alerts are available in the 'Specialised Register' section of information about the Cochrane Renal Group.

See Appendix 1 for search terms used in strategies for this review.

Searching other resources

  1. Reference lists of nephrology textbooks, review articles and relevant studies.

  2. Letters seeking information about unpublished or incomplete studies to investigators known to be involved in previous studies.

Data collection and analysis

Selection of studies

The search strategy described will be used to obtain titles and abstracts of studies that may be relevant to the review. The titles and abstracts will be screened independently by two authors, who will discard studies that are not applicable; however studies and reviews that might include relevant data or information on studies will be retained initially. Two authors will independently assess retrieved abstracts and, if necessary the full text, of these studies to determine which studies satisfy the inclusion criteria.

Studies reported in non‐English language journals will be translated before assessment.

Data extraction and management

Data extraction will be carried out independently by two authors using standard data extraction forms. Studies reported in non‐English language journals will be translated before assessment. Where more than one publication of one study exists, reports will be grouped together and only the publication with the most complete data will be included. Where relevant outcomes are only published in earlier versions these data will be used. Any discrepancy between published versions will be highlighted. Any further information required from the original author will be requested by written correspondence and any relevant information obtained in this manner will be included in the review. We will seek unpublished disaggregated data for outcomes among subgroups of patients on home or in‐centre haemodialysis from study investigators of potentially eligible studies and included these data in analyses when received. Disagreements will be resolved by consultation with all authors.

Two independent authors will use standardised data forms to extract data for:

  • Study design: parallel or cross‐over, risks of bias, duration, sample size, non‐randomised co interventions, location of study, number of centres

  • Participants: source, time on dialysis, previous dialysis modality, age, gender, ethnicity, comorbidities (hypertension, diabetes mellitus, cardiovascular disease), baseline biochemistry and haemoglobin), occupational status, quality of life scores, educational attainment, medications used, distance from dialysis centre, inter‐dialytic weight gain

  • Interventions: make and model of dialysis machine, dialysis duration/week, dialysis duration/session, number of dialysis sessions/week, dialysis membrane type (synthetic, cellulose, modified cellulose), dialysis flow rate, dialysis composition (acetate/bicarbonate), dialysis membrane reuse, ultrafiltration (volume/rate)

  • Outcomes: as described in Types of outcome measures

Assessment of risk of bias in included studies

The following items will be independently assessed by two authors using the risk of bias assessment tool (Higgins 2011) (seeAppendix 2).

  • Was there adequate sequence generation (selection bias)?

  • Was allocation adequately concealed (selection bias)?

  • Was knowledge of the allocated interventions adequately prevented during the study (detection bias)?

    • Participants and personnel

    • Outcome assessors

  • Were incomplete outcome data adequately addressed (attrition bias)?

  • Are reports of the study free of suggestion of selective outcome reporting (reporting bias)?

  • Was the study apparently free of other problems that could put it at a risk of bias?

We will make explicit judgements regarding whether studies are at high risk of bias according to the criteria given in the Cochrane Handbook for Systematic Reviews of Interventions (Higgins 2011). We will explore the impact of risks of bias by undertaking sensitivity analyses where possible.

Measures of treatment effect

For dichotomous outcomes (mortality, cardiovascular events, hospitalisation, vascular access adverse events) results will be expressed as risk ratio (RR) with 95% confidence intervals (CI). Where continuous scales of measurement are used to assess the effects of treatment (quality of life scale, blood pressure, doses of medication, haemoglobin, biochemical variables), the mean difference (MD) will be used, or the standardised mean difference (SMD) if different scales have been used. We will be cautious when providing summary estimates of treatment when high‐level heterogeneity between studies cannot be explained.

Meta‐analysis of change scores

We will combine change‐from‐baseline and final value scores (e.g. left ventricular mass, blood pressure, haemoglobin, serum phosphorus, calcium) in a meta‐analysis using the (unstandardized) MD method (Higgins 2011). We will place end‐of‐treatment values and change‐from‐baseline scores in subgroups for clarity and pool these effects using random effects meta‐analysis.

Imputing standard deviation

We will impute a change‐from‐baseline standard deviation using an imputed correlation coefficient when sufficient data are available. We will conduct sensitivity analyses when possible to evaluate the effect of imputing missing SD data in our meta‐analysis.

Unit of analysis issues

We will include only data from the first period of treatment in cross‐over studies (Higgins 2011). Data in different metrics will be analysed by converting reported values to SI units. The final results will be presented in International System (SI) units with conventional units in parentheses.

Dealing with missing data

If possible, data for each prespecified outcome will be evaluated regardless of whether the analysis is based on intention‐to‐treat or completeness to follow‐up. In particular, dropout rates will be investigated and reported in detail (e.g. drop‐out due to discontinuation of dialysis modality, treatment failure, death, transplantation, withdrawal of consent or loss to follow‐up). When data are unavailable or not reported in an extractable format, we will contact the original investigators to request the missing data. We will assess all studies for risks of bias due to incomplete reporting of results.

Assessment of heterogeneity

We will test for heterogeneity with the Cochran Q test which follows a Chi² distribution with N‐1 degrees of freedom, with an alpha of 0.05 used for statistical significance. The extent of heterogeneity will be assessed with I², which ranges between 0% and 100% and expresses the proportion of between group variability that is attributable to heterogeneity rather than chance (Higgins 2003). I² values of above 75% are typically held to signify extreme heterogeneity, whereas 25% and 50% correspond to low and medium levels of heterogeneity, respectively.

Assessment of reporting biases

We will test for asymmetries in the inverted funnel plots (i.e. for systematic differences in the effect sizes between more precise and less precise studies) using the original and modified Egger tests (Egger 1997) and the Begg and Mazumdar correlation test (Begg 1994). There are many potential explanations for why an inverted funnel plot may be asymmetric, including chance, heterogeneity, publication and reporting bias (Terrin 2005). We will refrain from judging funnel plot asymmetries based on visual inspection as this has been shown to be misleading in empirical research (Lau 2006). Publication bias will also be evaluated by testing the robustness of the results according to publications, namely publication as a full manuscript in a peer reviewed journal versus studies published as abstracts/text/letters/editorials.

Data synthesis

Data will be pooled using the random‐effects model but the fixed‐effect model will also be used to ensure robustness of the model chosen and susceptibility to outliers. We will qualitatively summarise data where insufficient data are available for meta‐analysis. Qualitative review will be conducted for adverse events and quality of life outcomes.

Subgroup analysis and investigation of heterogeneity

Subgroup analysis will be used to explore possible sources of heterogeneity (e.g. participants, interventions and study quality). Heterogeneity among participants could be related to age and haemodialysis methods. Heterogeneity in treatments could be related to prior agent(s) used and the agent, dose and duration of therapy. Adverse effects will be tabulated and assessed with descriptive techniques, as they are likely to be different for the various agents used. Where possible, the risk difference (RD) with 95% CI will be calculated for each adverse effect, either compared to no treatment or to another agent.

Heterogeneity will be investigated by analysing the data using subgroups according to the following parameters:

  • Population characteristics

    • Presence or absence of co‐morbidities (diabetes, hypertension, dyslipidaemia, smoking, obesity, family history of cardiovascular disease, baseline cardiovascular disease); percentage of patients with these co‐morbidities in each study

    • Age (adult, paediatric)

    • Gender

    • Mean systolic blood pressure

    • Ethnicity (White, Afro‐American, Asian, other)

    • Time on dialysis (less than three years versus three years or more)

  • Intervention characteristics

    • Duration of home haemodialysis/session

    • Duration of home haemodialysis/week

    • Prescribed blood flow rate

    • Prescribed dialysis dose (Kt/V)

    • Hospital versus satellite clinic comparator

    • Acetate or bicarbonate dialysis

    • Number of home haemodialysis sessions/week

    • Duration of intervention (less than 6 months, 6 to 12 months, more than 12 months)

    • Treatment dropout rate

If sufficient studies are available, we will conduct sensitivity analysis based on allocation concealment, blinding of participants, investigators and outcome assessors, attrition (above or below 10%), ITT analysis, and premature discontinuation of the study.

We will perform univariate meta‐regression according to previously described methods if sufficient studies are identified (Palmer 2007).

Sensitivity analysis

Sensitivity analyses will be undertaken to explore the robustness of findings to key decisions in the review process. These will be determined as the review process takes place (Higgins 2011). Sensitivity analyses will be undertaken to explore the influence of a study's risk of bias on the results including:

  • repeating the analysis excluding unpublished studies;

  • repeating the analysis taking account of risk of bias, as specified above;

  • repeating the analysis excluding any very long or large studies to establish how much they dominate the results;

  • repeating the analysis excluding studies using the following filters: diagnostic criteria, language of publication, source of funding (industry versus other), country.