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Reduction of Oxalate and Inflammation by Hemodiafiltration vs. Hemodialysis

Pilot Study of Lowering Plasma Oxalate With Hemodiafiltration to Reduce Systemic Inflammation in Patients With End-Stage Renal Disease (ESRD)

Status
Completed
Phases
NA
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT02684656
Enrollment
14
Registered
2016-02-18
Start date
2016-02-29
Completion date
2016-09-30
Last updated
2019-12-24

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Chronic Kidney Disease Requiring Chronic Dialysis

Keywords

Oxalate, Inflammation, Hemodiafiltration, Hemodialysis, Oxalate Blood Sample

Brief summary

The health care burden of CKD is substantial and growing with 10-15% of the population affected in both developed and developing countries. It is well established that CKD is associated with systemic inflammation, which promotes cardiovascular disease and body wasting. However, causal therapies to treat systemic inflammation, and treat its adverse consequences remain sparse. As kidney function declines in all forms of CKD, oxalate levels increase in the plasma, leading to increased systemic exposure to oxalate and consequent tissue injury. Work from the investigators has shown that elevated plasma oxalate levels activate the NLRP3 inflammasome which in turn leads to the processing and release of cytokines. The investigators seek to test the hypothesis that oxalate contributes to the systemic inflammation observed in patients with end-stage renal disease (ESRD). The investigators plan to define the association between plasma oxalate levels and signs of systemic inflammation in patients on hemodialysis. In a second step the investigators will examine whether hemodiafiltration lowers plasma oxalate more efficiently than hemodialysis and reduces signs of systemic inflammation. Confirmation of the hypothesis may lead to the identification of oxalate as a novel therapeutic target for interventional trials aimed at reducing plasma oxalate in patients with ESRD.

Detailed description

The positive interaction between diffusive and convective flux has suggested that hemodiafiltration (HDF) has a higher oxalate extraction rate as compared with hemodialysis (HD). However, it has not been evaluated whether HDF can lower predialysis oxalate levels below the level of supersaturation. By using an intra-individual approach with the inclusion/exclusion criteria listed for the study, we plan to determine plasma oxalate and cytokine levels in 20 patients (10 on regular duration HD, 10 patients on extended duration HD) before dialysis. Subsequently, patients will be switched to HDF and plasma oxalate concentration and cytokines will be analyzed again two weeks following HDF treatment. Plasma oxalate (Pox) will be measured at beginning of treatment, mid, end and 2 hrs post treatment (to determine rebound) in order to provide oxalate kinetics on HD/HDF treatment. Cytokines will only be measured pre HD/HDF treatment to assess steady state inflammation.

Interventions

PROCEDUREHemodialysis

Hemodialysis \>/=4h

PROCEDUREHemodiafiltration

Hemodiafiltration \>/=4h, \> 20l convection

Sponsors

Renal Research Institute
CollaboratorOTHER
University of Erlangen-Nürnberg Medical School
Lead SponsorOTHER

Study design

Allocation
NON_RANDOMIZED
Intervention model
CROSSOVER
Primary purpose
DIAGNOSTIC
Masking
NONE

Eligibility

Sex/Gender
ALL
Healthy volunteers
No

Inclusion criteria

* Blood Flow ≥ 250 ml/min * Dialysate Flow ≥ 500 ml/min * Urinary Excretion \< 400 ml/24h * Duration of Dialysis ≥ 4h * On HDF/HD treatment for ≥ 4 weeks * Extended HDF/HD for ≥ 4 weeks

Exclusion criteria

* Recirculation (online measurement) \> 15% * Single needle dialysis or single lumen catheter * Substitution volume of \< 20l on HDF

Design outcomes

Primary

MeasureTime frame
Plasma oxalate6 months

Secondary

MeasureTime frame
Cytokines measured by multiplex analysis6 months

Countries

Germany

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026