Evidence map›Paper›PMID 42069650›Full record

ReviewCritical care (London, England)2026

Renal replacement therapy in patients under extracorporeal membrane oxygenation: a narrative review.

Filip Tomovic, Arnaud Thibault-Baum, Nikola Glogonjac, Caroline P Martens, Slobodan Sajinovic, Vedran Premuzic, Max Bell, Lui Forni, Antoine Schneider, Thomas Rimmelé and 1 more

Abstract readReview
In one paragraph

Review in Critical care (London, England), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Filip TomovicClinic for Nephrology, Clinical Center of Montenegro, Podgorica, Montenegro.
Arnaud Thibault-BaumDepartment of Anesthesiology and Intensive Care Medicine, Edouard Herriot Hospital, Hospices Civils de Lyon, Lyon, France.
Nikola GlogonjacClinic for Nephrology and Clinical Immunology, University Clinical Centre of Vojvodina, Novi Sad, Serbia.
Caroline P MartensDepartment of Nephrology and Renal Transplantation, University Hospitals Leuven, Leuven, Belgium.
Slobodan SajinovicClinic for Nephrology and Clinical Immunology, University Clinical Centre of Vojvodina, Novi Sad, Serbia.
Vedran PremuzicDepartment of Nephrology, Hypertension, Dialysis and Transplantation, University Hospital Centre Zagreb, Zagreb, Croatia.
Max BellDepartment of Physiology and Pharmacology, Karolinska Institutet, Stockholm, Sweden.
Lui ForniDepartment of Clinical and Experimental Medicine (Faculty of Health Sciences), University of Surrey, Guildford, United Kingdom.
Antoine SchneiderCentre Hospitalier Universitaire Vaudois (CHUV), Adult Intensive Care Unit / Service de médecine intensive adulte, Lausanne, Switzerland.
Thomas RimmeléAnesthesiology and Intensive Care Medicine, Pasteur Hospital, Nice, France.
Frank BidarDepartment of Anesthesiology and Intensive Care Medicine, University Hospital Louis Pradel, Hospices Civils de Lyon, Bron, France. frankbidar@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe use of extracorporeal membrane oxygenation (ECMO) has expanded for severe respiratory and circulatory failure. Acute kidney injury (AKI) is one of the most frequent complications. Up to 85% of ECMO patients develop AKI and approximately half of them require renal replacement therapy (RRT) making a comprehensive understanding of both therapies and their interaction essential for patient management. However, evidence to guide ECMO-specific RRT strategies remains limited. MAIN BODY: ECMO-related AKI arises from a complex interplay between patient and circuit factors that promote inflammation, endothelial injury, and tubular damage. Timing of RRT initiation in ECMO patients often relies on criteria used in the general critically ill population. Fluid overload is consistently associated with worse outcomes, and observational data suggest that earlier RRT, primarily to control fluid balance, may improve survival although randomized trials in ECMO patients are lacking. All RRT modalities can theoretically be used, but continuous techniques are preferred. RRT can be delivered via a parallel circuit using a dedicated venous catheter or integrated into the ECMO circuit. Integrated configurations reduce the need for additional vascular access and may prolong filter lifespan but require careful pressure management and team expertise to avoid alarms, hemolysis, and air embolism. Anticoagulation strategies must balance bleeding and thrombosis risk across both circuits; unfractionated heparin remains standard, while regional citrate anticoagulation can safely extend filter lifespan in selected patients although data is lacking in patients under veno-arterial ECMO. RRT during ECMO is associated with higher short-term mortality and an increased burden of chronic kidney disease among survivors.

conclusionsThe management of AKI in ECMO patients remains a major clinical challenge. While RRT is often required in this population, optimal strategies for its initiation, modality selection, and integration with ECMO circuits are still evolving. Current evidence underscores the need for individualized approaches based on patient characteristics. Future research should focus on defining standardized protocols for RRT implementation in ECMO, use of regional citrate anticoagulation, optimizing patient selection, and evaluating long-term renal and survival outcomes.

Indexed as

Extracorporeal Membrane OxygenationRenal Replacement TherapyAcute Kidney InjuryHumansAcute kidney injuryExtracorporeal membrane oxygenationHemoadsorptionRenal replacement therapy

Identifiers

PMID42069650
PMCPMC13281467

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.