1/3 of the contemporary population suffers from sleep disorders. Sleep related breathing disorders are very important from the clinical point of view, because they markedly contribute to high morbidity and mortality of this population. Pharyngeal and upper airway obstruction is the main cause of these disorders. Obstructive sleep apnoea (OSA) may be isolated or co-exist with different disorders of the respiratory or other systems. Prevalence of OSA is also reported in allergic diseases: allergic rhinitis, asthma and atopic dermatitis. The author presents and discusses 5 basis problems practically important from the point of view of the allergist, from the moment when his allergic patients complains of sleep disorders: 1. rough diagnosis of character of sleep and respiratory disorders; 2. their objective confirmation and severity classification; 3. etiology and differential analysis of causes; 4. patient education; 5. choice of individual therapeutic option.
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Sleep Breath
January 2025
Department of Pulmonary and Critical Care Medicine, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, No.1 Da Hua Road, Dong Dan, Dongcheng District, Beijing, 100730, PR China.
Purpose: To investigate the relationship between obstructive sleep apnea hypopnea syndrome (OSAHS) severity and fat, bone, and muscle indices.
Methods: This study included 102 patients with OSAHS and retrospectively reviewed their physical examination data. All patients underwent polysomnography, body composition analysis, dual-energy X-ray absorptiometry, computed tomography (CT) and blood test.
J Anat
January 2025
Hannover Medical School, Institute of Functional and Applied Anatomy, Hannover, Germany.
Obesity, along with hypoxia, is known to be a risk factor for pulmonary hypertension (PH), which can lead to right ventricular hypertrophy and eventually heart failure. Both obesity and PH influence the autonomic nervous system (ANS), potentially aggravating changes in the right ventricle (RV). This study investigates the combined effects of obesity and hypoxia on the autonomic innervation of the RV in a mouse model.
View Article and Find Full Text PDFJ Coll Physicians Surg Pak
January 2025
Department of Pathology, National Institute of Cardiovascular Diseases, Karachi, Pakistan.
Objective: To determine the frequency of multidrug-resistant (MDR) bacterial isolates in respiratory specimens obtained from ventilated patients admitted to critical care units at the National Institute of Cardiovascular Diseases (NICVD), along with COVID-19-positive cases.
Study Design: An observational study. Place and Duration of the Study: National Institute of Cardiovascular Diseases, between November 2021 and March 2022.
Magn Reson Med
January 2025
Institute of Diagnostic and Interventional Radiology, Hannover Medical School, Hannover, Germany.
Purpose: Pulmonary MRI faces challenges due to low proton density, rapid transverse magnetization decay, and cardiac and respiratory motion. The fermat-looped orthogonally encoded trajectories (FLORET) sequence addresses these issues with high sampling efficiency, strong signal, and motion robustness, but has not yet been applied to phase-resolved functional lung (PREFUL) MRI-a contrast-free method for assessing pulmonary ventilation during free breathing. This study aims to develop a reconstruction pipeline for FLORET UTE, enhancing spatial resolution for three-dimensional (3D) PREFUL ventilation analysis.
View Article and Find Full Text PDFBMC Med Inform Decis Mak
January 2025
Department of Clinical Pharmacy and Translational Science, The University of Tennessee Health Science Center, Memphis, TN, USA.
Background: The COVID-19 pandemic has highlighted the crucial role of artificial intelligence (AI) in predicting mortality and guiding healthcare decisions. However, AI models may perpetuate or exacerbate existing health disparities due to demographic biases, particularly affecting racial and ethnic minorities. The objective of this study is to investigate the demographic biases in AI models predicting COVID-19 mortality and to assess the effectiveness of transfer learning in improving model fairness across diverse demographic groups.
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