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Background: Awake nasotracheal fiberoptic intubation by conventional technique is time consuming and requires expertise. Complications encountered in the conventional technique sometime leads to procedure failure.
Objective: The primary aim of this study was to compare the innovative technique using split nasopharyngeal airway (SNPA) with the conventional technique for nasotracheal fiberoptic intubation in terms of time taken for intubation.
Method: This was a prospective, randomized, and single blind study conducted with 80 patients who were scheduled for maxillofacial surgery. Patients were randomized into two groups, group CFBI (conventional fiberoptic intubation) and group SNPA (split nasopharyngeal airway). In both the groups patients were prepared for awake fiberoptic naso-tracheal intubation. In Group CFBI (N = 41) awake naso-tracheal intubation was achieved by conventional technique of bronchoscope first approach. In Group SNPA (N = 39) spirally split nasopharyngeal airway was used first as a conduit for the passage of fiberoptic bronchoscope. The primary objective was to assess the time taken for intubation. The secondary objectives were to assess the rate of complications in the form of bleeding, cough, desaturation during the procedure, laryngospasm, and nasal bleeding.
Result: The time taken for intubation was 6.15 ± 3.0 minutes in CFBI group and 3.10 ± 1.35 minutes in SNPA group and this this difference was statically significant with value <0.001. Desaturation during the procedure was more in CFBI (99.46 ± 0.75) compared to SNPA (99 ± 0) group with significant difference value <0.001.
Conclusion: Split nasopharyngeal airway was used as conduit for the passage for the flexible fibreoptic bronchoscope and it considerably reduced the time required for fiberoptic nasotracheal intubation compared to the conventional technique of endotracheal tube first approach. Split nasopharyngeal airway provided better intubating conditions with lesser complications and superior patient comfort.
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http://dx.doi.org/10.4103/njms.njms_120_22 | DOI Listing |
Talanta
September 2025
Faculty of Applied Sciences, Ton Duc Thang University, Ho Chi Minh City, Viet Nam. Electronic address:
Food spoilage poses a global challenge with far-reaching consequences for public health, economic stability, and environmental sustainability. Conventional analytical methods for spoilage detection though accurate are often cost-prohibitive, labor-intensive, and unsuitable for real-time or field-based monitoring. Microfluidic paper-based analytical devices (μPADs) have emerged as a transformative technology offering rapid, portable, and cost-effective solutions for food quality assessment.
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September 2025
Department of Electrical and Computer Engineering and the Institute of Biomedical Engineering, University of New Brunswick, Fredericton, E3B 5A3, NB, Canada.
Pattern recognition-based myoelectric control is traditionally trained with static or ramp contractions, but this fails to capture the dynamic nature of real-world movements. This study investigated the benefits of training classifiers with continuous dynamic data, encompassing transitions between various movement classes. We employed both conventional (LDA) and deep learning (LSTM) classifiers, comparing their performance when trained with ramp data, continuous dynamic data, and an LSTM pre-trained with a self-supervised learning technique (VICReg).
View Article and Find Full Text PDFBiosens Bioelectron
September 2025
College of Chemistry, Jilin Province Research Center for Engineering and Technology of Spectral Analytical Instruments, Jilin University, Qianjin Street 2699, Changchun, 130012, China. Electronic address:
Papillary thyroid carcinoma (PTC) is the most prevalent form of thyroid cancer with a high incidence among endocrine malignancies. It tends to metastasize early in lymph nodes and differs markedly from other subtypes in biological behavior, clinical management, and prognosis. Therefore, accurately distinguishing PTC from other pathological subtypes is crucial for guiding diagnosis and treatment decisions.
View Article and Find Full Text PDFPLoS One
September 2025
College of Information Engineering, Sichuan Agricultural University, Ya'an, Sichuan Province, China.
Animals communicate information primarily via their calls, and directly using their vocalizations proves essential for executing species conservation and tracking biodiversity. Conventional visual approaches are frequently limited by distance and surroundings, while call-based monitoring concentrates solely on the animals themselves, proving more effective and straightforward than visual techniques. This paper introduces an animal sound classification model named SeqFusionNet, integrating the sequential encoding of Transformer with the global perception of MLP to achieve robust global feature extraction.
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September 2025
Centre for Diagnostic, Therapeutic and Investigative Studies, Faculty of Health Sciences, Universiti Kebangsaan Malaysia, Kuala Lumpur, Malaysia.
Echocardiography is the primary imaging tool for evaluating cardiac structure and function in patients with primary hypertension. A significant limitation of the current literature is that most studies focus on older adults, leaving a significant gap in understanding the cardiac effects of primary hypertension in young adults. This scoping review protocol aims to assess conventional echocardiographic parameters, left ventricular geometric patterns, and advanced echocardiographic findings for the early detection of cardiac changes in young adults aged 18-39 with primary hypertension.
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