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Assessment of dyslipidemia management in Turkey using a Delphi panel.
Sci Rep
December 2024
Department of Cardiology, Hacettepe University Faculty of Medicine, Ankara, Turkey.
This study evaluated the management of dyslipidemia in Turkey with the goal of understanding current diagnosis and treatment patterns, as well as identifying unmet needs in achieving effective low-density lipoprotein cholesterol (LDL-C) targets. Using a Delphi panel consisting of nine expert cardiologists, the study reveals key gaps in dyslipidemia management, particularly in the underutilization of combination therapies, such as statins and PCSK9 inhibitors, which are crucial for achieving LDL-C targets in high-risk patients. The findings indicate that while many patients with very high cardiovascular risk are diagnosed, a significant proportion do not receive optimal treatment to reach LDL-C levels recommended by European guidelines.
View Article and Find Full Text PDFCross-domain lung opacity detection via adversarial learning and box fusion.
Sci Rep
December 2024
The Engineering & Technical College of Chengdu University of Technology, Xiaoba Road, Leshan, 614000, China.
Many conditions, such as pulmonary edema, bleeding, atelectasis or collapse, lung cancer, and shadow formation after radiotherapy or surgical changes, cause Lung Opacity. An unsupervised cross-domain Lung Opacity detection method is proposed to help surgeons quickly locate Lung Opacity without additional manual annotations. This study proposes a novel method based on adversarial learning to detect Lung Opacity on chest X-rays.
View Article and Find Full Text PDFImpact of Inflammation After Cardiac Surgery on 30-Day Mortality and Machine Learning Risk Prediction.
J Cardiothorac Vasc Anesth
December 2024
Division of Cardiac Surgery, Department of Medical and Surgical Sciences, University of Foggia, Foggia, Italy; Division of Cardiac Surgery, Santa Maria Hospital, GVM Care & Research, Bari, Italy. Electronic address:
Objectives: To investigate the impact of systemic inflammatory response syndrome (SIRS) on 30-day mortality following cardiac surgery and develop a machine learning model to predict SIRS.
Design: Retrospective cohort study.
Setting: Single tertiary care hospital.
European Society of Thoracic Surgeons Presidential Address 2024. Adapting to change: embracing lifelong learning curves.
Eur J Cardiothorac Surg
December 2024
University of Szeged, Szeged, Hungary.
Interobserver Variability in Manual Versus Semi-Automatic CT Assessments of Small Lung Nodule Diameter and Volume.
Tomography
December 2024
Centre for Research and Development, Uppsala University, Region Gävleborg, SE 801 88 Gävle, Sweden.
Background: This study aimed to assess the interobserver variability of semi-automatic diameter and volumetric measurements versus manual diameter measurements for small lung nodules identified on computed tomography scans.
Methods: The radiological patient database was searched for CT thorax examinations with at least one noncalcified solid nodule (∼3-10 mm). Three radiologists with four to six years of experience evaluated each nodule in accordance with the Fleischner Society guidelines using standard diameter measurements, semi-automatic lesion diameter measurements, and volumetric assessments.
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