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Postinfarction ventricular septal rupture (PIVSR) is a rare but serious complication of acute myocardial infarction. Determining how to conduct surgical repair safely is critical. We compared the outcomes of Impella and intra-aortic balloon pump (IABP) implantation during perioperative mechanical circulatory support management in patients with PIVSR (n = 22).

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The patient's mental health from the perspective of consultation-liaison psychiatry at the stage of qualification for mechanical circulatory support implantation.

Psychiatr Pol

October 2024

Śląskie Centrum Chorób Serca w Zabrzu; Katedra i Klinika Kardiochirurgii, Transplantologii, Chirurgii Naczyniowej i Endowaskularnej, Wydział Nauk Medycznych w Zabrzu, SUM w Katowicach.

During qualification for mechanical circulatory support, the comprehensive assessment of a patient's mental state is an integral element of the overall medical evaluation. It encompasses a range of psychosocial issues, and as such provides information helpful in the selection of a suitable candidate for the required treatment, and sometimes identifies contraindications to it. It allows ensuring that the patient meets expectations regarding both mental health stability and adherence to medical recommendations.

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Introduction: Hemoperfusion (HP), a blood filtration method targeting the removal of toxins and inflammatory elements, was investigated in this study. The objective was to present the observations in four individuals with confirmed COVID-19 who underwent several rounds of HP utilizing the HA330 cartridge at a hospital in Indonesia.

Case Studies: We report four cases of COVID-19 patients who underwent HP.

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Optical techniques, such as functional near-infrared spectroscopy (fNIRS), contain high potential for the development of non-invasive wearable systems for evaluating cerebral vascular condition in aging, due to their portability and ability to monitor real-time changes in cerebral hemodynamics. In this study, thirty-six healthy adults were measured by single channel fNIRS to explore differences between two age groups using machine learning (ML). The subjects, measured during functional magnetic resonance imaging (fMRI) at Oulu University Hospital, were divided into young (age ≤ 32) and elderly (age ≥ 57) groups.

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This study employed large eddy simulation (LES) with the wall-adapting local eddy-viscosity (WALE) model to investigate transitional flow characteristics in an idealized model of a healthy thoracic aorta. The OpenFOAM solver pimpleFoam was used to simulate blood flow as an incompressible Newtonian fluid, with the aortic walls treated as rigid boundaries. Simulations were conducted for 30 cardiac cycles and ensemble averaging was employed to ensure statistically reliable results.

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