The authors provide the results of examining the conduction system of the heart in 623 patients with different disorders of heart conduction and rhythm by means of transesophageal pacing (TEP). The non-invasive electrophysiological examination of patients with sick sinus syndrome with latent disorders of atrioventricular (AV) conduction, and with supraventricular tachyarrhythmias turned out to be of high diagnostic value, inducing no complications. Application of programmed TEP (scanning extrastimulus on basis pacemaking) employed by the authors for the first time during TEP considerably widens the diagnostic possibilities of the technique permitting the measurement of the refractory periods of the conduction system (the refractory periods of the sinus node, atria, and AV-conduction system along normal and additional pathways), the performance of the trigger and removal of supraventricular arrhythmias with diagnostic and treatment purposes in view. The use of TEP for the treatment of patients with the syndrome of the prolonged QT interval and ventricular premature heart beat accelerates the choice of adequate antiarrhythmic therapy and raises its efficacy.
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IntroductionAsthma attacks are set off by triggers such as pollutants from the environment, respiratory viruses, physical activity and allergens. The aim of this research is to create a machine learning model using data from mobile health technology to predict and appropriately warn a patient to avoid such triggers.MethodsLightweight machine learning models, XGBoost, Random Forest, and LightGBM were trained and tested on cleaned asthma data with a 70-30 train-test split.
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January 2025
Shree S. K. Patel College of Pharmaceutical Education and Research, Ganpat University, Kherva, 384012, India.
Aims: This study aimed to develop Imatinib Mesylate (IMT)-loaded Poly Lactic-co-Glycolic Acid (PLGA)-D-α-tocopheryl polyethylene glycol succinate (TPGS)- Polyethylene glycol (PEG) hybrid nanoparticles (CSLHNPs) with optimized physicochemical properties for targeted delivery to glioblastoma multiforme.
Background: Glioblastoma multiforme (GBM) is the most destructive type of brain tumor with several complications. Currently, most treatments for drug delivery for this disease face challenges due to the poor blood-brain barrier (BBB) and lack of site-specific delivery.
ACS Appl Mater Interfaces
January 2025
Institute of Soft-matter and Advanced Functional Materials, Gansu Province Carbon New Material Industry Technology Center, School of Materials and Energy, Lanzhou University, Lanzhou 730000, China.
Hexagonal boron nitride (h-BN), with excellent thermal conductivity and insulation capability, has garnered significant attention in the field of electronic thermal management. However, the thermal conductivity of the h-BN-enhanced polymer composite material is far from that expected because of the insurmountable interfacial thermal resistance. In order to realize the high thermal conductivity of polymer composite thermal interface materials, herein, an in situ exfoliation method has been employed to prepare a boron nitride nanosheet-graphene (BNNS-Gr) hybrid filler.
View Article and Find Full Text PDFFront Parasitol
July 2024
Center for Global Health, Universidad Peruana Cayetano Heredia, Lima, Peru.
Neurocysticercosis (NCC) is caused by the invasion of larvae in the central nervous system (CNS) and stands as the predominant cause of epilepsy and other neurological disorders in many developing nations. NCC diagnosis is challenging because it relies on brain imaging exams (CT or MRI), which are poorly available in endemic rural or resource-limited areas. Moreover, some NCC cases cannot be easily detected by imaging, leading to inconclusive results.
View Article and Find Full Text PDFCrit Care Explor
January 2025
Department of Mathematics and School of Biomedical Engineering, Colorado State University, Fort Collins, CO.
The purpose of this work is to evaluate the feasibility of lung imaging using 3D electrical impedance tomography (EIT) during spontaneous breathing trials (SBTs) in patients with acute hypoxic respiratory failure. EIT is a noninvasive, nonionizing, real-time functional imaging technique, suitable for bedside monitoring in critically ill patients. EIT data were collected in 24 mechanically ventilated patients immediately preceding and during a SBT on two rows of 16 electrodes using a simultaneous multicurrent source EIT system for 3D imaging.
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