Background: The population of Israel consists of immigrants from many different countries. It is not known whether a single nomogram can be used for spirometric values of children of different ethnic descent.
Methods: Spirometry was performed in 753 second or third generation Israeli children (7-14 years) of different ethnic groups. Both parents of 503 of the children were of the same ethnic background. Subjects were allocated to six ethnic groups (European, Iraqi, North African, Indian, Yemenite, and Georgian).
Results: Standing height contributed most to the prediction of spirometric values (forced expiratory volume in one second, forced vital capacity), whereas sitting height did not contribute further. Statistical analysis showed significant ethnic differences. The Georgians had higher spirometric values for FEV1 than all the other ethnic groups, and higher FVC values than those of the Yemenite, North African, and Indian groups. FVC was lower among the Indian than all other groups.
Conclusion: Differences in normal spirometric values were found among second or third generation Israeli children of different ethnic origins. European, North African, Iraqi, and Yemenite children could be characterised by single equation, whereas children of Georgian and Indian descent needed different predicting equations.
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http://dx.doi.org/10.1136/thx.48.9.906 | DOI Listing |
Respir Med
January 2025
Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel; Clalit Health Services, Dan Petah Tikva District, Petah Tikva, Israel. Electronic address:
Background: Morbid obesity in adolescents impacts respiratory function, often leading to reduced lung volume and obstructive ventilatory defects. However, standard spirometric values frequently remain within normal ranges.
Objectives: We hypothesized that Lung Clearance Index (LCI) is a more sensitive marker for detecting airway dysfunction in adolescents with morbid obesity than conventional lung function tests.
J Asthma
January 2025
Division of Pediatric Allergy and Immunology, Department of Pediatrics, Istanbul Faculty of Medicine, Istanbul University, Istanbul, Turkey.
Objective: It is well-known that children who suffer from obesity and asthma may also have exercise-induced bronchospasm. Exhaled nitric oxide is an indicator of airway inflammation, and could be affected by exercise. This study looked at how exercise, which is a typical cause of acute airway obstruction, affects the levels of FeNO and spirometric parameters in obese and asthmatic children.
View Article and Find Full Text PDFmedRxiv
January 2025
Division of Pulmonary, Allergy, and Critical Care Medicine, Department of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
Background: Though European Respiratory Society and American Thoracic Society (ERS/ATS) guidelines for pulmonary function test (PFT) interpretation recommend the use of the forced vital capacity (FVC) lower limit of normal (LLN) to exclude restriction, recent data suggest that the negative predictive value (NPV) of the FVC LLN is lower than has been accepted, particularly among non-Hispanic Black patients. We sought to develop and externally validate a machine learning (ML) model to predict restriction from spirometry and determine whether its use may improve the accuracy and equity of PFT interpretation.
Methods: We included PFTs with both static and dynamic lung volume measurements for patients between 18 and 80 years of age who were tested at pulmonary diagnostic labs within two health systems.
J Clin Med
December 2024
Department for Respiratory Diseases Jordanovac, University Hospital Centre Zagreb, 10000 Zagreb, Croatia.
: Cough variant asthma (CVA) is characterized by nonspecific symptoms and normal spirometric values, which makes diagnosis challenging. To diagnose CVA it is necessary to document airway hyperreactivity (AHR). The aim of our study was to evaluate the diagnostic value of body plethysmography in the assessment of AHR using the methacholine challenge test (MCT).
View Article and Find Full Text PDFLung
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.
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