A multicenter feasibility randomized controlled trial to assess the impact of incremental versus conventional initiation of hemodialysis on residual kidney function.

Twice-weekly hemodialysis, as part of incremental initiation, has reported benefits including preservation of residual kidney function (RKF). To explore this, we initiated a randomized controlled feasibility trial examining 55 incident hemodialysis patients with urea clearance of 3 ml/min/1.73 m2 or more across four centers in the United Kingdom randomized to standard or incremental schedules for 12 months. Incremental hemodialysis involved twice-weekly sessions, upwardly adjusting hemodialysis dose as RKF was lost, maintaining total (Dialysis+Renal) Std Kt/V above 2. Standard hemodialysis was thrice weekly for 3.5-4 hours, minimum Dialysis Std Kt/V of 2. Primary outcomes were feasibility parameters and effect size of group differences in rate of loss of RKF at six months. Health care cost impact and patient-reported outcomes were explored. Around one-third of patients met eligibility criteria. Half agreed to randomization; 26 received standard hemodialysis and 29 incremental. At 12 months, 21 incremental patients remained in the study vs 12 in the standard arm with no group differences in the urea clearance slope. Ninety-two percent of incremental and 75% of standard arm patients had a urea clearance of 2 ml/min/1.73 m2 or more at six months. Serious adverse events were less frequent in incremental patients (Incidence Rate Ratio 0.47, confidence interval 0.27-0.81). Serum bicarbonate was significantly lower in incremental patients indicating supplementation may be required. There were three deaths in each arm. Blood pressure, extracellular fluid and patient-reported outcomes were similar. There was no signal of benefit of incremental hemodialysis in terms of protection of RKF or Quality of Life score. Median incremental hemodialysis costs were significantly lower compared to standard hemodialysis. Thus, incremental hemodialysis appears safe and cost-saving in incident patients with adequate RKF, justifying a definitive trial.

Effect of Chronic Kidney Disease on Metabolic Rate: Studies Using Doubly Labelled Water.

OBJECTIVE: The causes of protein malnutrition and body composition changes in chronic kidney disease (CKD) are poorly understood. Alterations to metabolic rate caused by CKD may be a contributor. Using the doubly labeled water technique and indirect calorimetry, we set out to determine whether reduced glomerular filtration rate is associated with alterations to total energy expenditure (TEE) and resting energy expenditure (REE). We also aimed to determine whether TEE in patients with CKD can be easily predicted from a physical activity questionnaire. METHODS: In a prospective, observational study we evaluated 80 patients (52 men; mean age 56.7 ± 16.2 years) with CKD ranging from stage 1 to stage 5 with estimated glomerular filtration rate (eGFR) calculated by the Chronic Kidney Disease Epidemiology Collaboration equation (CKD-EPI). TEE was measured using doubly labeled water isotope excretion over 14 days (TEEDLW), REE by indirect calorimetry (REEIndirectCal) and physical activity level using the Stanford 7-day recall questionnaire. RESULTS: eGFR did not correlate with TEEDLW and REEIndirectCal. Findings with weight-adjusted energy measures were similar. REEIndirectCal and TEEDLW were significantly lower in patients whose eGFR was <50 mL/min/1.73 m2 and those with higher levels. There were similar findings with respect to weight-adjusted energy measures. In multivariable analysis, age, sex, and weight were independent predictors of TEEDLW and REEIndirectCal. eGFR did not predict TEE or REE in either of these models. CONCLUSION: There was no direct relationship between reduced renal function and metabolic rate. Differences in energy metabolism at lower levels of glomerular filtration rate are more likely to be due to factors such as age, body composition, and physical activity.

Predicting residual kidney function in hemodialysis patients using serum ß-trace protein and ß2-microglobulin.

Residual kidney function (RKF) contributes significant solute clearance in hemodialysis patients. Kidney Diseases Outcomes Quality Initiative (KDOQI) guidelines suggest that hemodialysis dose can be safely reduced in those with residual urea clearance (KRU) of 2 ml/min/1.73 m(2) or more. However, serial measurement of RKF is cumbersome and requires regular interdialytic urine collections. Simpler methods for assessing RKF are needed. ß-trace protein (ßTP) and ß2-microglobulin (ß2M) have been proposed as alternative markers of RKF. We derived predictive equations to estimate glomerular filtration rate (GFR) and KRU based on serum ßTP and ß2M from 191 hemodialysis patients based on standard measurements of KRU and GFR (mean of urea and creatinine clearances) using interdialytic urine collections. These modeled equations were tested in a separate validation cohort of 40 patients. A prediction equation for GFR that includes both ßTP and ß2M provided a better estimate than either alone and contained the terms 1/ßTP, 1/ß2M, 1/serum creatinine, and a factor for gender. The equation for KRU contained the terms 1/ßTP, 1/ß2M, and a factor for ethnicity. Mean bias between predicted and measured GFR was 0.63 ml/min and 0.50 ml/min for KRU. There was substantial agreement between predicted and measured KRU at a cut-off level of 2 ml/min/1.73 m(2). Thus, equations involving ßTP and ß2M provide reasonable estimates of RKF and could potentially be used to identify those with KRU of 2 ml/min/1.73 m(2) or more to follow the KDOQI incremental hemodialysis algorithm.

A self-report comorbidity questionnaire for haemodialysis patients.

BACKGROUND: Patients with end-stage renal disease (ESRD) have multiple comorbid conditions. Obtaining comorbidity data from medical records is cumbersome. A self-report comorbidity questionnaire is a useful alternative. Our aim in this study was to examine the predictive value of a self-report comorbidity questionnaire in terms of survival in ESRD patients. METHODS: We studied a prospective cross-sectional cohort of 282 haemodialysis (HD) patients in a single centre. Participants were administered the self-report questionnaire during an HD session. Information on their comorbidities was subsequently obtained from an examination of the patient's medical records. Levels of agreement between parameters derived from the questionnaire, and from the medical records, were examined. Participants were followed-up for 18 months to collect survival data. The influence on survival of comorbidity scores derived from the self-report data (the Composite Self-report Comorbidity Score [CSCS]) and from medical records data--the Charlson Comorbidity Index [CCI] were compared. RESULTS: The level of agreement between the self-report items and those obtained from medical records was almost perfect with respect the presence of diabetes (Kappa score κ 0.97), substantial for heart disease and cancer (κ 0.62 and κ 0.72 respectively), moderate for liver disease (κ 0.51), only fair for lung disease, arthritis, cerebrovascular disease, and depression (κ 0.34, 0.35, 0.34 and 0.29 respectively). The CSCS was strongly predictive of survival in regression models (Nagelkerke R(2) value 0.202), with a predictive power similar to that of the CCI (Nagelkerke R(2) value 0.211). The influences of these two parameters were additive in the models--suggesting that these parameters make different contributions to the assessment of comorbidity. CONCLUSION: This self-report comorbidity questionnaire is a viable tool to collect comorbidity data and may have a role in the prediction of short-term survival in patients with end-stage renal disease on haemodialysis. Further work is required in this setting to refine the tool and define its role.

Dalteparin dosing in high-flux haemodialysis and haemodiafiltration.

BACKGROUND: Low-molecular-weight heparins are being increasingly used as an alternative to unfractionated heparin for anticoagulation of the haemodialysis (HD) circuit. Data on dalteparin use in high-flux HD and haemodiafiltration (HDF) are limited. We examined the safety and efficacy of dalteparin in this setting to enable recommendations on the optimal dose range. METHODS: This prospective study was conducted in a single dialysis unit. Subjects who had been receiving dalteparin for at least 10 HD sessions were studied. Anti-Xa activity was measured for all subjects at the start of the HD session, at 60 min into HD and at the end of dialysis. RESULTS: 55 subjects were studied. None had detectable anti-Xa activity at the start of the session. Using adequacy criteria based on target anti-Xa activity >0.4 IU/ml at 1 h and <0.4 IU/ml at the end of dialysis, 39 (71%) patients had adequate anticoagulation, 12 (22%) patients were under-anticoagulated and 4 (7%) were over-anticoagulated. The mean dose in the adequately anticoagulated group was 60.7 ± 11.7 IU/kg, in the under-anticoagulated group 39.3 ± 9.6 IU/kg and in the over-anticoagulated group 70.1 ± 14.6 IU/kg. The optimal dose of dalteparin appears to be 60 ± 10 IU/kg, which facilitates the achievement of the target anti-Xa activity in the range of 0.4-0.75 IU/ml at 1 h and <0.4 IU/ml at the session end. CONCLUSION: Dalteparin is a safe and effective anticoagulant for patients on high-flux HD and HDF. The optimal dose appears to be 60 ± 10 IU/kg. The desirable target range of anti-Xa activity is 0.4-0.75 at 1 h and <0.4 IU/ml at the session end.

Energy metabolism, body composition, and urea generation rate in hemodialysis patients.

Hemodialysis (HD) adequacy is currently assessed using normalized urea clearance (Kt/V), although scaling based on Watson volume (V) may disadvantage women and men with low body weight. Alternative scaling factors such as resting energy expenditure and high metabolic rate organ mass have been suggested. The relationship between such factors and uremic toxin generation has not been established. We aimed to study the relationship between body size, energy metabolism, and urea generation rate. A cross-sectional cohort of 166 HD patients was studied. Anthropometric measurements were carried on all. Resting energy expenditure was measured by indirect calorimetry, fat-free mass by bio-impedance and total energy expenditure by combining resting energy expenditure with a questionnaire-derived physical activity data. High metabolic rate organ mass was calculated using a published equation and urea generation rate using formal urea kinetic modeling. Metabolic factors including resting energy expenditure, total energy expenditure and fat-free mass correlated better with urea generation rate than did Watson volume. Total energy expenditure and fat-free mass (but not Watson Volume) were independent predictors of urea generation rate, the model explaining 42% of its variation. Small women (