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Detection of Thrombi in Extracorporeal Membrane Oxygenation Circuits Using Low-Frequency Acoustic Measurements
KTH, School of Engineering Sciences (SCI), Engineering Mechanics, Fluid Mechanics. (FLOW)ORCID iD: 0009-0003-9375-1806
Department of Anaesthesia, Surgery and Intensive Care, Sundsvall Hospital, Region Västernorrland, Sundsvall, Sweden; Department of Physiology and Pharmacology, Karolinska Institutet, Stockholm, Sweden.
Department of Physiology and Pharmacology, Karolinska Institutet, Stockholm, Sweden; ECMO Centre Karolinska, Pediatric Perioperative Medicine and Intensive Care, Karolinska University Hospital, Stockholm, Sweden.
KTH, School of Engineering Sciences (SCI), Engineering Mechanics, Fluid Mechanics. (FLOW)ORCID iD: 0000-0001-9976-8316
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2025 (English)In: ASAIO journal (1992), ISSN 1058-2916, E-ISSN 1538-943XArticle in journal (Refereed) Epub ahead of print
Abstract [en]

Extracorporeal membrane oxygenation (ECMO) provides temporary support for patients with severe acute cardiac or respiratory failure. Although thrombotic complications are common during ECMO, the real-time detection and management of thrombosis-related complications remain challenging. In this study, we introduce a noninvasive approach for detecting thrombi using an acoustic detection technique. The presence of blood clots in the ECMO circuit has been correlated with an increase in the amplitude of the acoustic spectrum <20 Hz. This amplification allows for the prediction of clots in the ECMO circuit using acoustic measurements. The predicted results were compared with visual observations, and the technique achieved a total accuracy of 84%. Hypothesizing that some of the false positives were indicators of clots in the circuitry, the accuracy may be up to 96%. This technique could be integrated with the existing clot detection method to enhance patient outcomes.

Place, publisher, year, edition, pages
Ovid Technologies (Wolters Kluwer Health) , 2025.
Keywords [en]
infra-sound, thrombi
National Category
Hematology Neurology Anesthesiology and Intensive Care
Identifiers
URN: urn:nbn:se:kth:diva-377331DOI: 10.1097/MAT.0000000000002661PubMedID: 41664281Scopus ID: 2-s2.0-105029721625OAI: oai:DiVA.org:kth-377331DiVA, id: diva2:2041900
Note

QC 20260226

Available from: 2026-02-26 Created: 2026-02-26 Last updated: 2026-02-26Bibliographically approved

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Nanayakkara, SheranPrahl Wittberg, Lisa

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