{
    "abstract": "Continuous-flow left ventricular assist devices (LVADs) have been extensively used in a strategy of bridge to orthotopic heart transplant and destination therapy. The usage of LVAD, however, is not free from limitations such as device-related adverse events, including pump thrombosis (PT). We aimed to develop an algorithm of early PT detection based on the maintenance parameters monitored by the implanted device.\nWe analyzed log files of 101 patients implanted with HeartWare pump (HVAD) with 18 PT events among them. For signal processing, we used the open-high-low-close format transformation and typical price (TP) technical analysis indicator. Model parameters were tuned with 5-fold cross-validation, and the final performance was measured on a separate group of patients.\nOur algorithm achieved 100% sensitivity and 100% specificity of indications. In the final evaluation, alarms preceded the clinical acknowledgement of events by 2\u00a0days and 20\u00a0h on average. In the worst-case scenario, an alarm was raised 1\u00a0day and 8\u00a0h prior to the event.\nThe proposed algorithm could be installed to work directly with the device controller and provide clinicians with automatic readings analysis, raising an alarm when there is a high probability of thromboembolism. Early event detection could enable better thrombosis management and improve prognosis in patients implanted with HVAD.",
    "authors": [
        {
            "affiliation": "Silesian Centre for Heart Diseases, Zabrze, Poland.",
            "firstname": "Mateusz",
            "initials": "M",
            "lastname": "Krysi\u0144ski"
        },
        {
            "affiliation": "Biomedical Engineering, Silesian University of Technology, Zabrze, Poland.",
            "firstname": "Maciej",
            "initials": "M",
            "lastname": "Gawlikowski"
        },
        {
            "affiliation": "Department of Cardiac, Vascular and Endovascular Surgery and Transplantology, Silesian Centre for Heart Diseases, Zabrze, Poland.",
            "firstname": "Agnieszka",
            "initials": "A",
            "lastname": "Bie\u0142ka"
        },
        {
            "affiliation": "Silesian Centre for Heart Diseases, Zabrze, Poland.",
            "firstname": "Ma\u0142gorzata",
            "initials": "M",
            "lastname": "Krysi\u0144ska"
        },
        {
            "affiliation": "Department of Cardiac, Vascular and Endovascular Surgery and Transplantology, Silesian Centre for Heart Diseases, Zabrze, Poland.",
            "firstname": "Justyna",
            "initials": "J",
            "lastname": "Ma\u0142yszek-Tumidajewicz"
        },
        {
            "affiliation": "Department of Cardiac, Vascular and Endovascular Surgery and Transplantology, Silesian Centre for Heart Diseases, Zabrze, Poland.",
            "firstname": "Izabela",
            "initials": "I",
            "lastname": "Copik"
        },
        {
            "affiliation": "Department of Cardiac, Vascular and Endovascular Surgery and Transplantology, Silesian Centre for Heart Diseases, Zabrze, Poland.\nMedical University of Silesia, Katowice, Poland.",
            "firstname": "Jerzy",
            "initials": "J",
            "lastname": "Pacholewicz"
        },
        {
            "affiliation": "Department of Cardiac, Vascular and Endovascular Surgery and Transplantology, Silesian Centre for Heart Diseases, Zabrze, Poland.",
            "firstname": "Marian",
            "initials": "M",
            "lastname": "Zembala"
        },
        {
            "affiliation": "Department of Cardiac, Vascular and Endovascular Surgery and Transplantology, Silesian Centre for Heart Diseases, Zabrze, Poland.",
            "firstname": "Micha\u0142",
            "initials": "M",
            "lastname": "Zembala"
        }
    ],
    "conclusions": null,
    "copyrights": "\u00a9 2022 International Center for Artificial Organs and Transplantation and Wiley Periodicals LLC.",
    "doi": "10.1111/aor.14163",
    "journal": "Artificial organs",
    "keywords": [
        "HVAD pump",
        "early detection",
        "early event detection",
        "left ventricular assisting device",
        "pump thrombosis"
    ],
    "methods": null,
    "publication_date": "2022-01-04",
    "pubmed_id": "34978725",
    "results": "Our algorithm achieved 100% sensitivity and 100% specificity of indications. In the final evaluation, alarms preceded the clinical acknowledgement of events by 2\u00a0days and 20\u00a0h on average. In the worst-case scenario, an alarm was raised 1\u00a0day and 8\u00a0h prior to the event.",
    "title": "Early detection of HVAD pump thrombosis based on technical analysis and power consumption measurements.",
    "xml": "<Element 'PubmedArticle' at 0x788503307ec0>"
}