Background: Patients with asthma generate an increased amount of reactive oxygen species from peripheral blood cells, which may contribute to its pathogenesis. Saliva analysis is non-invasive and friendly to children. We undertook this study to analyze the salivary oxidative profile and composition in children with asthma during attack and remission, and to compare them with the levels of salivary antioxidants of healthy control children.
Methods: School age (range 6-18 years) children referred to the emergency room for acute asthma were included. Clinical score was assessed, spirometry performed, and saliva samples were collected and analyzed. All measurements were repeated during remission of asthma attack (2-4 weeks after attack). Salivary analysis was performed blindly during asthma attack and the results were compared to those obtained during remission, and to those of the control group.
Results: Statistically significant decreases in levels of salivary peroxidase enzyme activity were observed in asthmatic children during attack compared with healthy controls, with partial recovery during remission of attack. Similarly decreased levels of calcium concentrations were observed in asthmatic children, accompanied by increased phosphate levels.
Conclusions: Children with acute asthma attacks exhibit a decrease in the activity of the most important salivary antioxidant enzyme-peroxidase, which is accompanied by other salivary composition alterations. Hence, acute asthma is manifested by salivary changes. This implies systemic oxidative stress in asthma, which may be reflected in salivary analysis.
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http://dx.doi.org/10.1016/j.rmed.2005.10.022 | DOI Listing |
IntroductionAsthma attacks are set off by triggers such as pollutants from the environment, respiratory viruses, physical activity and allergens. The aim of this research is to create a machine learning model using data from mobile health technology to predict and appropriately warn a patient to avoid such triggers.MethodsLightweight machine learning models, XGBoost, Random Forest, and LightGBM were trained and tested on cleaned asthma data with a 70-30 train-test split.
View Article and Find Full Text PDFBMC Med Inform Decis Mak
January 2025
Renaissance Computing Institute, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.
Electronic health records (EHRs) provide a rich source of observational patient data that can be explored to infer underlying causal relationships. These causal relationships can be applied to augment medical decision-making or suggest hypotheses for healthcare research. In this study, we explored a large-scale EHR dataset on patients with asthma or related conditions (N = 14,937).
View Article and Find Full Text PDFWorld Allergy Organ J
January 2025
Institute of Life Science, Chongqing Medical University, Chongqing, China.
Background: Allergic rhinitis (AR) is a common chronic respiratory disease that can lead to the development of various other conditions. Although genetic risk loci associated with AR have been reported, the connections between these loci and AR comorbidities or other diseases remain unclear.
Methods: This study conducted a phenome-wide association study (PheWAS) using known AR risk loci to explore the impact of known AR risk variants on a broad spectrum of phenotypes.
Zhonghua Yi Xue Za Zhi
January 2025
Department of Respiratory and Critical Care Medicine, Nanfang Hospital, Southern Medical University, Guangzhou510515, China.
To investigate the characteristics of type 2 inflammation in patients with nocturnal asthma, and analyze the improvement of asthma symptoms after the use of inhaled corticosteroids (ICS) combined with different long-acting bronchodilators. Data of 231 asthma patients who first visited the Respiratory and Critical Care Medical Clinic of Nanfang Hospital of Southern Medical University from January 2020 to June 2023 and had positive bronchodilator tests (BDT), were retrospectively analyzed. These patients were divided into nocturnal asthma group and non-nocturnal asthma group based on the presence or absence of nocturnal symptoms.
View Article and Find Full Text PDFImmunotherapy
January 2025
kThoraxklinik Heidelberg, Heidelberg, Germany; lIKF Pneumologie, Mainz, Germany.
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