Evidence map›Paper›PMID 39872682›Full record

ArticleCase reports in critical care2025

Use of Hemoadsorption and Continuous Venovenous Hemodialysis With Enhanced Middle Molecule Clearance in Drug-Induced Rhabdomyolysis.

Sebastian Hafner, Johannes Reins, Christoph Baader, Florian Balling, Sebastian Eff

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In one paragraph

Article in Case reports in critical care, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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.

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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

5 authors.

Sebastian HafnerDepartment of Anesthesiology and Intensive Care Medicine, Sana Klinikum Landkreis Biberach, Biberach, Germany.ORCID https://orcid.org/0000-0001-9643-8370
Johannes ReinsDepartment of Anesthesiology and Intensive Care Medicine, Kreiskliniken Günzburg-Krumbach, Krumbach, Germany.
Christoph BaaderDepartment of Anesthesiology and Intensive Care Medicine, Kreiskliniken Günzburg-Krumbach, Krumbach, Germany.
Florian BallingDepartment of Anesthesiology and Intensive Care Medicine, Kreiskliniken Günzburg-Krumbach, Krumbach, Germany.
Sebastian EffDepartment of Anesthesiology and Intensive Care Medicine, Kreiskliniken Günzburg-Krumbach, Krumbach, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Drug-induced rhabdomyolysis has become increasingly prevalent due to the rising use of medications such as statins, antidepressants, and antipsychotics. These can lead to muscle cell destruction and the release of myoglobin, potentially causing kidney damage. Recent advancements include the use of CytoSorb hemoadsorption as a promising therapy to remove myoglobin and other potentially toxic substances from the bloodstream. A 47-year-old male with a complex medical history presented with weakness, pain, and dizziness. Lab results indicated severe rhabdomyolysis, most likely of medication-induced etiology. He developed acute kidney injury (AKI) and underwent continuous venovenous hemodialysis (CVVHD) combined with CytoSorb hemoadsorption. Despite initial stabilization, rhabdomyolysis parameters surged, necessitating the use of an additional high-flux filter with enhanced middle molecule clearance. CytoSorb therapy was administered for nine consecutive sessions, resulting in decreased creatine kinase (CK) and myoglobin levels. Due to persistent kidney injury, the patient required permanent dialysis and was transferred to a kidney disease center. This case highlights the complexity and severity of drug-induced rhabdomyolysis with hemoadsorption playing a pivotal role in reducing myoglobin levels and improving the patient's condition. Combining hemoadsorption and filters with enhanced middle molecule clearance holds even more promise for improved myoglobin removal.

Indexed as

antidepressantsantipsychoticsCVVHDCytoSorbdrug-induced rhabdomyolysishemoadsorptionmetabolic acidosismyoglobinstatins

Identifiers

PMID39872682
PMCPMC11772059

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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.