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Hemodiafiltration beyond the CONVINCE trial

Strippoli, Giovanni F.M. ; Cromm, Krister ; Pezoulas, Vasileios C. ; Tachos, Nikolaos ; Fotiadis, Dimitrios I. ; Jaure, Allison ; Malyszko, Jolanta ; Anger, Michael ; Fischer, Felix and Hegbrant, Jörgen LU , et al. (2026) In Clinical Kidney Journal 19(6).
Abstract

Online hemodiafiltration (HDF) is a dialysis modality that can improve patient outcomes beyond those achieved with conventional high-flux hemodialysis (HD) in patients with kidney failure. The CONVINCE trial, the latest and the largest of a series of randomized trials comparing HDF with HD, demonstrated a 23% reduction in the risk of all-cause mortality with high-volume HDF compared to high-flux HD. Systematic reviews of the totality of evidence confirmed cardiovascular and survival benefits of HDF. Further hard-endpoint trials are unlikely to change these findings. The challenge is implementation of these findings in clinical care. Nephrology is used to timeframes of 10–15 years before innovation gets implemented at the bedside, and... (More)

Online hemodiafiltration (HDF) is a dialysis modality that can improve patient outcomes beyond those achieved with conventional high-flux hemodialysis (HD) in patients with kidney failure. The CONVINCE trial, the latest and the largest of a series of randomized trials comparing HDF with HD, demonstrated a 23% reduction in the risk of all-cause mortality with high-volume HDF compared to high-flux HD. Systematic reviews of the totality of evidence confirmed cardiovascular and survival benefits of HDF. Further hard-endpoint trials are unlikely to change these findings. The challenge is implementation of these findings in clinical care. Nephrology is used to timeframes of 10–15 years before innovation gets implemented at the bedside, and this may well apply to HDF, particularly in regions where structural, regulatory, and financial barriers persist. In this narrative review, we discuss in broad terms the key items of a forward-looking research agenda for HDF after CONVINCE. Key priorities include real-world implementation studies; a strong focus on patient-reported outcomes; mechanistic research to understand why HDF is superior to HD and exploring personalized HDF regimens. Attaining these priorities will require leveraging innovative methods and we discuss two, target trial emulation methods and use of digital twin technologies. We aim to stimulate reflection and enthusiasm toward a modern approach to dialysis research that embraces innovation and centers on patient priorities. We advocate for world-class clinical guidelines on HDF, avoidance of opinion and position statements and a decisive, creative, and innovative research path. Patients with kidney failure deserve care informed by the best available evidence, implemented through rigorous guideline processes and adapted to patient preferences, health-system context, and feasibility.

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organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
convection, digital-twin, guideline, hemodiafiltration, review
in
Clinical Kidney Journal
volume
19
issue
6
article number
sfag115
publisher
Oxford University Press
external identifiers
  • pmid:42232593
  • scopus:105041086973
ISSN
2048-8505
DOI
10.1093/ckj/sfag115
language
English
LU publication?
yes
id
9ea65d7c-a1f7-494b-bdbb-4fcd83972667
date added to LUP
2026-07-03 14:37:48
date last changed
2026-07-04 03:00:03
@article{9ea65d7c-a1f7-494b-bdbb-4fcd83972667,
  abstract     = {{<p>Online hemodiafiltration (HDF) is a dialysis modality that can improve patient outcomes beyond those achieved with conventional high-flux hemodialysis (HD) in patients with kidney failure. The CONVINCE trial, the latest and the largest of a series of randomized trials comparing HDF with HD, demonstrated a 23% reduction in the risk of all-cause mortality with high-volume HDF compared to high-flux HD. Systematic reviews of the totality of evidence confirmed cardiovascular and survival benefits of HDF. Further hard-endpoint trials are unlikely to change these findings. The challenge is implementation of these findings in clinical care. Nephrology is used to timeframes of 10–15 years before innovation gets implemented at the bedside, and this may well apply to HDF, particularly in regions where structural, regulatory, and financial barriers persist. In this narrative review, we discuss in broad terms the key items of a forward-looking research agenda for HDF after CONVINCE. Key priorities include real-world implementation studies; a strong focus on patient-reported outcomes; mechanistic research to understand why HDF is superior to HD and exploring personalized HDF regimens. Attaining these priorities will require leveraging innovative methods and we discuss two, target trial emulation methods and use of digital twin technologies. We aim to stimulate reflection and enthusiasm toward a modern approach to dialysis research that embraces innovation and centers on patient priorities. We advocate for world-class clinical guidelines on HDF, avoidance of opinion and position statements and a decisive, creative, and innovative research path. Patients with kidney failure deserve care informed by the best available evidence, implemented through rigorous guideline processes and adapted to patient preferences, health-system context, and feasibility.</p>}},
  author       = {{Strippoli, Giovanni F.M. and Cromm, Krister and Pezoulas, Vasileios C. and Tachos, Nikolaos and Fotiadis, Dimitrios I. and Jaure, Allison and Malyszko, Jolanta and Anger, Michael and Fischer, Felix and Hegbrant, Jörgen and Nigwekar, Sagar and Kazancıoğlu, Rümeyza}},
  issn         = {{2048-8505}},
  keywords     = {{convection; digital-twin; guideline; hemodiafiltration; review}},
  language     = {{eng}},
  number       = {{6}},
  publisher    = {{Oxford University Press}},
  series       = {{Clinical Kidney Journal}},
  title        = {{Hemodiafiltration beyond the CONVINCE trial}},
  url          = {{http://dx.doi.org/10.1093/ckj/sfag115}},
  doi          = {{10.1093/ckj/sfag115}},
  volume       = {{19}},
  year         = {{2026}},
}