Obesity, particularly severe central obesity, affects respiratory physiology both at rest and during exercise. Reductions in expiratory reserve volume, functional residual capacity, respiratory system compliance and impaired respiratory system mechanics produce a restrictive ventilatory defect. Low functional residual capacity and reductions in expiratory reserve volume increase the risk of expiratory flow limitation and airway closure during quiet breathing. Consequently, obesity may cause expiratory flow limitation and the development of intrinsic positive end expiratory pressure, especially in the supine position. This increases the work of breathing by imposing a threshold load on the respiratory muscles leading to dyspnoea. Marked reductions in expiratory reserve volume may lead to ventilation distribution abnormalities, with closure of airways in the dependent zones of the lungs, inducing ventilation perfusion mismatch and gas exchange abnormalities. Obesity may also impair upper airway mechanical function and neuromuscular strength, and increase oxygen consumption, which in turn, increase the work of breathing and impair ventilatory drive. The combination of ventilatory impairment, excess CO(2) production and reduced ventilatory drive predisposes obese individuals to obesity hypoventilation syndrome.
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http://dx.doi.org/10.1111/j.1440-1843.2011.02124.x | DOI Listing |
Brain Spine
December 2024
Department of Neurosurgery, Johann Wolfgang Goethe University Hospital, Frankfurt, Germany.
Introduction: Breathing-synchronized hypoglossal-nerve stimulation is a treatment option for suitable patients with severe obstructive-sleep-apnoea. The classical implantation technique requires three incisions: submental to place the stimulating-electrode on terminal branches of the hypoglossal-nerve, sub-clavicular to place the impulse generator, and on the lateral chest-wall to place a breathing-sensor lead. A two-incision-technique has been propagated and widely adopted whereby the respiratory-sensing-lead is placed deeper to the IPG-pocket.
View Article and Find Full Text PDFFront Pediatr
January 2025
Department of Pediatrics, Dandong Central Hospital, China Medical University, Dandong, China.
Objective: To establish a prediction nomogram for early prediction of neonatal acute respiratory distress syndrome (NARDS).
Methods: This is a retrospective cross-sectional study conducted between January 2021 and December 2023. Clinical characteristics and laboratory results of cases with neonatal pneumonia were compared in terms of presence of NARDS diagnosis based on the Montreux Definition.
Cureus
December 2024
Pulmonary and Critical Care Medicine, Community Health Network, Indianapolis, USA.
Pleural effusion as an initial presentation of malignancy poses significant diagnostic challenges, particularly when linked to gynecologic cancers. We discuss the case of a 53-year-old female who presented with progressive dyspnea and a massive right-sided pleural effusion. Cytological analysis of the pleural fluid revealed malignant cells and immunohistochemical staining confirmed high-grade serous carcinoma (HGSC) of ovarian origin.
View Article and Find Full Text PDFFood Chem X
January 2025
College of Food Science and Engineering, Gansu Agricultural University, Lanzhou 730070, China.
The study investigated the impact of low-dose sodium nitrite on yak meat color and mitochondrial functional characteristics during the wet curing. The results showed that sodium nitrite significantly enhanced the redness ( value) of yak meat by increasing the activities of mitochondrial complexes I, II, III and IV, which are critical for electron transport and aerobic respiration. Additionally, sodium nitrite reduced mitochondrial swelling and membrane permeability, and slowed the production of lipid oxidation products, indicating protective effects against mitochondrial damage and preserving mitochondrial integrity.
View Article and Find Full Text PDFACS Sens
January 2025
Interdisciplinary Research Division Smart HealthCare, Indian Institute of Technology Jodhpur, Jodhpur 342030, India.
Electronic nose (e-nose) systems are well known in breath analysis because they combine breath printing with advanced and intelligent machine learning (ML) algorithms. This work demonstrates development of an e-nose system comprising gas sensors exposed to six different volatile organic compounds (VOCs). The change in the voltage of the sensors was recorded and analyzed through ML algorithms to achieve selectivity and predict the VOCs.
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