Hollow fiber artificial lungs are increasingly being used for long-term applications. However, clot formation limits their use to 1-2 weeks. This study investigated the effect of nitric oxide generating (NOgen) hollow fibers on artificial lung thrombogenicity. Silicone hollow fibers were fabricated to incorporate 50 nm copper particles as a catalyst for NO generation from the blood. Fibers with and without (control) these particles were incorporated into artificial lungs with a 0.1 m(2) surface area and inserted in circuits coated tip-to-tip with the NOgen material. Circuits (N = 5/each) were attached to rabbits in a pumpless, arterio-venous configuration and run for 4 h at an activated clotting time of 350-400 s. Three control circuits clotted completely, while none of the NOgen circuits failed. Accordingly, blood flows were significantly higher in the NOgen group (95.9 ± 11.7, p < 0.01) compared to the controls (35.2 ± 19.7; mL/min), and resistance was significantly higher in the control group after 4 h (15.38 ± 9.65, p < 0.001) than in NOgen (0.09 ± 0.03; mmHg/mL/min). On the other hand, platelet counts and plasma fibrinogen concentration expressed as percent of baseline in control group (63.7 ± 5.7%, 77.2 ± 5.6%; p < 0.05) were greater than those in the NOgen group (60.4 ± 5.1%, 63.2 ± 3.7%). Plasma copper levels in the NOgen group were 2.8 times baseline at 4 h (132.8 ± 4.5 μg/dL) and unchanged in the controls. This study demonstrates that NO generating gas exchange fibers could be a potentially effective way to control coagulation inside artificial lungs.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3812367 | PMC |
http://dx.doi.org/10.1002/jbm.a.34655 | DOI Listing |
BMC Med Imaging
January 2025
Department of Thoracic Surgery, The Fifth Clinical Medical College of Henan, University of Chinese Medicine (Zhengzhou People's Hospital), Zhengzhou, 450003, China.
Objective: In clinical practice, diagnosing the benignity and malignancy of solid-component-predominant pulmonary nodules is challenging, especially when 3D consolidation-to-tumor ratio (CTR) ≥ 50%, as malignant ones are more invasive. This study aims to develop and validate an AI-driven radiomics prediction model for such nodules to enhance diagnostic accuracy.
Methods: Data of 2,591 pulmonary nodules from five medical centers (Zhengzhou People's Hospital, etc.
NPJ Syst Biol Appl
January 2025
Department of Bioscience & Bioengineering, Indian Institute of Technology, Jodhpur, Rajasthan, India.
Classification of adenocarcinoma (AC) and squamous cell carcinoma (SCC) poses significant challenges for cytopathologists, often necessitating clinical tests and biopsies that delay treatment initiation. To address this, we developed a machine learning-based approach utilizing resected lung-tissue microbiome of AC and SCC patients for subtype classification. Differentially enriched taxa were identified using LEfSe, revealing ten potential microbial markers.
View Article and Find Full Text PDFSci Rep
January 2025
Faculty of Computer and AI, Cairo University, Giza, Egypt.
Drug discovery and development is a challenging and time-consuming process. Laboratory experiments conducted on Vidarabine showed IC 6.97 µg∕mL, 25.
View Article and Find Full Text PDFPLoS One
January 2025
National Heart and Lung Institute, Imperial College London, London, United Kingdom.
Introduction: Haemodynamic atrioventricular delay (AVD) optimisation has primarily focussed on signals that are not easy to acquire from a pacing system itself, such as invasive left ventricular catheterisation or arterial blood pressure (ABP). In this study, standard clinical central venous pressure (CVP) signals are tested as a potential alternative.
Methods: Sixteen patients with a temporary pacemaker after cardiac surgery were studied.
Digit Health
January 2025
School of Pharmaceutical Sciences, University of Geneva, Geneva, Switzerland.
Background: The integration of artificial intelligence (AI)-based pharmaceutical services in community pharmacy (CP) settings has the potential to enhance point-of-care services and improve informed patient access to healthcare. The Pneumoscope™, an innovative AI-powered digital stethoscope that analyses lung sounds to detect specific respiratory pathologies, could be a valuable tool for pharmacists in conducting respiratory screening. To understand how this device can be implemented in the healthcare system, this exploratory research aims to assess the acceptability of pharmacists and patients, and the pharmacists' readiness to use the Pneumoscope™ in CPs for respiratory disease management.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!