Background: Recent studies suggest that isolated sonographic assessment of the respiratory, cardiac, or neuromuscular functions in mechanically ventilated patients may assist in identifying patients at risk of postextubation distress. The aim of the present study was to prospectively investigate the value of an integrated thoracic ultrasound evaluation, encompassing bedside respiratory, cardiac, and diaphragm sonographic data in predicting postextubation distress.
Methods: Longitudinal ultrasound data from 136 patients who were extubated after passing a trial of pressure support ventilation were measured immediately after the start and at the end of this trial. In case of postextubation distress (31 of 136 patients), an additional combined ultrasound assessment was performed while the patient was still in acute respiratory failure. We applied machine-learning methods to improve the accuracy of the related predictive assessments.
Results: Overall, integrated thoracic ultrasound models accurately predict postextubation distress when applied to thoracic ultrasound data immediately recorded before the start and at the end of the trial of pressure support ventilation (learning sample area under the curve: start, 0.921; end, 0.951; test sample area under the curve: start, 0.972; end, 0.920). Among integrated thoracic ultrasound data, the recognition of lung interstitial edema and the increased telediastolic left ventricular pressure were the most relevant predictive factors. In addition, the use of thoracic ultrasound appeared to be highly accurate in identifying the causes of postextubation distress.
Conclusions: The decision to attempt extubation could be significantly assisted by an integrative, dynamic, and fully bedside ultrasonographic assessment of cardiac, lung, and diaphragm functions.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1097/ALN.0000000000001773 | DOI Listing |
R Soc Open Sci
January 2025
Institute of Biomedical Engineering, Department of Engineering Science, University of Oxford, Oxford OX3 7DQ, UK.
Atrial fibrillation (AF) is the most prevalent clinical arrhythmia, posing significant mortality and morbidity challenges. Outcomes of current catheter ablation treatment strategies are suboptimal, highlighting the need for innovative approaches. A major obstacle lies in the inability to comprehensively assess both structural and functional remodelling in AF.
View Article and Find Full Text PDFJ Vasc Surg Cases Innov Tech
April 2025
Atrium Health, Sanger Heart and Vascular Institute, Division of Vascular Surgery, Charlotte, NC.
We report a case of mesenteric ischemia after thoracic endovascular aortic repair (TEVAR) for chronic type B aortic dissection performed at a different institution. Computed tomography angiography findings indicated that the previous TEVAR had been deployed distally into the false lumen. To mitigate this, a large fenestration was created between the false lumen and true lumen.
View Article and Find Full Text PDFAnn Ital Chir
January 2025
Department of Thoracic Surgery, Mindong Hospital Affiliated to Fujian Medical University, 355000 Fu'an, Fujian China.
Aim: This study aimed to explore the efficacy of open reduction and internal fixation assisted by handheld ultrasound combined with three-dimensional (3D) printing technology in treating multiple rib fractures.
Methods: We retrospectively analyzed the clinical data from 84 patients affected with multiple rib fractures admitted to our hospital between August 2022 and April 2024. After excluding four cases, 80 cases were included in this study.
Ann Ital Chir
January 2025
Medical Department, Ningbo No.9 Hospital, 315020 Ningbo, Zhejiang, China.
Aim: This study aimed to develop a reliable and efficient system for predicting and locating rib fractures in medical images using an ensemble of convolutional neural networks (CNNs).
Methods: We employed five CNN architectures-Visual Geometry Group Network 16 (VGG16), Densely Connected Convolutional Network 169 (DenseNet169), Inception Version 4 (Inception V4), Efficient Network B7 (EfficientNet-B7), and Residual Network Next 50 layers (ResNeXt-50)-trained on a dataset of 840 grayscale computed tomography (CT) scan images in .jpg format collected from 42 patients at a local hospital.
BMC Cancer
January 2025
Department of Epidemiology, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, 250012, P.R. China.
Background: Co-existent pulmonary tuberculosis and lung cancer (PTB-LC) represent a unique disease entity often characterized by missed or delayed diagnosis. This study aimed to investigate the clinical and radiological features of patients diagnosed with PTB-LC.
Methods: Patients diagnosed with active PTB-LC (APTB-LC), inactive PTB-LC (IAPTB), and LC alone without PTB between 2010 and 2022 at our institute were retrospectively collected and 1:1:1 matched based on gender, age, and time of admission.
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!