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Background: Polysomnography (PSG) is resource-intensive but remains the gold standard for diagnosing Obstructive Sleep Apnea (OSA). We aimed to develop a screening tool to better allocate resources by identifying individuals at higher risk for OSA, overcoming limitations of current tools that may under-diagnose based on self-reported symptoms.
Methods: A total of 884 patients (490 diagnosed with OSA) were included, which was divided into the training, validation, and test sets.
The Characteristics of the Concavity of Descending Limb of Maximal Expiratory Flow-Volume Curves Generated by Spirometry.
Lung
January 2025
National Clinical Research Center for Respiratory Disease, State Key Laboratory of Respiratory Disease, Guangzhou Institute of Respiratory Health, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou, Guangdong, China.
Purpose: This study examined the concavity (angle β, central and peripheral concavity) of the descending limb of the maximal expiratory flow-volume (MEFV) curves to reflect various ventilatory defects, including obstructive, restrictive, or mixed patterns.
Methods: We conducted a cross-sectional study collecting spirometry data from a healthcare center and a tertiary hospital between 2017 and 2022, with additional raw flow-volume curve data from primary healthcare institutions in 2023. We analyzed differences in concavity between spirometric patterns.
Flow-Volume Loop: A Tool for Evaluating the Position of the Laryngeal Mask Airway Intraoperatively.
Cureus
November 2024
Department of Anaesthesiology, Sismanogleio General Hospital, Athens, GRC.
The flow-volume loop (FVL) is a valuable yet often underutilized tool for assessing the placement of the laryngeal mask airway (LMA) during surgery. It provides real-time graphical data on airway patency and ventilation. These cases examine the role of FVL in identifying LMA misplacement.
View Article and Find Full Text PDFTransfer learning in spirometry: CNN models for automated flow-volume curve quality control in paediatric populations.
Comput Biol Med
January 2025
EPIUnit - Instituto de Saúde Pública da Universidade do Porto, Laboratório para a Investigação Integrativa e Translacional em Saúde Populacional (ITR), Porto, Portugal; Serviço de Imunoalergologia, Unidade Local de Saúde de São João, Porto, Portugal; Laboratório de Imunologia Básica e Clínica, Departamento de Patologia, Faculdade de Medicina da Universidade do Porto, Portugal.
Problem: Current spirometers face challenges in evaluating acceptability criteria, often requiring manual visual inspection by trained specialists. Automating this process could improve diagnostic workflows and reduce variability in test assessments.
Aim: This study aimed to apply transfer learning to convolutional neural networks (CNNs) to automate the classification of spirometry flow-volume curves based on acceptability criteria.
Passive Expiration From Total Lung Capacity Can Estimate Expiratory Function in Infants A Retrospective Study.
Chest
October 2024
Department of Physiology and Cell Biology, Faculty of Health Sciences, Ben-Gurion University, Beer-Sheva, Israel.
Background: Evaluating expiratory airway function in infants is challenging because the criterion standard, the raised-volume rapid thoracoabdominal compression technique, is technically difficult and has a high failure rate.
Research Question: Are measurements obtained during passive expiration from total lung capacity correlated with forced expiration measurements obtained by the raised-volume technique in infants?
Study Design And Methods: This observational retrospective analysis included infants born ≥ 36 weeks' gestation who underwent pulmonary function testing using the raised-volume rapid thoracoabdominal compression technique at Hadassah Medical Centre between January 2011 and December 2019. Technically acceptable forced and passive flow-volume curve measurements were included in the analysis.
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