Trial reportTrials2022
Cytokine adsorption in patients with acute-on-chronic liver failure (CYTOHEP)-a single center, open-label, three-arm, randomized, controlled intervention trial.
Trial report in Trials, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. It is linked to trial NCT05019352 (Cytokine Adsorption in Patients With Acute-on-chronic Liver Failure), which is not on this map. Cited by 6 papers.
What it found
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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.
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.
Cytokine Adsorption in Patients With Acute-on-chronic Liver Failure (CYTOHEP) - a Single Center, Open-label, Randomized, Controlled Intervention Trial
Who cites it
6 citing papers in PubMed, 12 citations in OpenAlex.
- From critical care to organ preservation: the potential role of hemadsorption in transplantation-a narrative review.Hepatobiliary surgery and nutrition · 2025Review
- Changes in TNF-α, IL-33, and MIP-1α before and after artificial liver support treatment and their prognostic value.American journal of translational research · 2024Article
- Liver replacement therapy with extracorporeal blood purification techniques current knowledge and future directions.World journal of clinical cases · 2023Review
- Targeting circulating high mobility group box-1 and histones by extracorporeal blood purification as an immunomodulation strategy against critical illnesses.Critical care (London, England) · 2023Review
- Effect of extracorporeal hemoadsorption in critically ill patients with COVID-19: A narrative review.Frontiers in immunology · 2023Review
- Article
Corrections and comments
- Erratum issued
Authors and funding
7 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundLiver cirrhosis is a major healthcare problem and the mortality rate is high. During recent years, systemic inflammation has been recognized as a major driver of hepatic decompensation and progression of liver cirrhosis to acute-on-chronic liver failure (ACLF). The aim of the CYTOHEP study is to assess the impact of extracorporeal hemoadsorption with the CytoSorb adsorber on serum bilirubin concentrations, humoral inflammation parameters, liver function parameters, and patient survival in patients with ACLF and acute kidney injury (AKI).
methodsThe CYTOHEP study is a prospective, single-center, open-label, three-arm, randomized, controlled intervention trial. Patients with ACLF and AKI stage 3 according to Kidney Disease: Improving Global Outcome (KDIGO) criteria will be randomized into three groups to be treated with (1) continuous renal replacement therapy (CRRT) and CytoSorb, (2) CRRT without CytoSorb, and (3) without both, CRRT and CytoSorb. In the hemoadsorption group, CytoSorb will be used for 72 h. The other groups receive standard of care with early or late initiation of CRRT, respectively. Primary endpoint of the study is serum bilirubin concentration after 72 h, important secondary endpoints are 30-day survival and a panel of inflammatory parameters. DISCUSSION: The CYTOHEP study is designed to evaluate the benefit of extracorporeal hemoadsorption in patients with ACLF. The results of this study will help to better understand the potential role of hemoadsorption for the treatment of ACLF and its impact on bilirubin levels, inflammatory parameters, and survival.
trial registrationClinicalTrials.gov NCT05019352. Registered on August 24, 2021. Deutsches Register Klinischer Studien (DRKS) DRKS00026082.
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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.