Background: Because spirometric parameters fail to address current status of asthma in some patients, additional tests are required for better evaluation of asthma.
Objective: We aimed to test the ability of impulse oscillometry (IOS) and fractional expiratory nitric oxide (FeNO) in identifying inadequately controlled asthma (ICA) that was not uncovered by spirometry.
Methods: Recruited asthmatic children between ages of 8 and 16 years underwent spirometry, IOS, and FeNO measurements on the same day. Only subjects who had spirometric indices within normal range were included. Asthma Control Questionnaire-6 scores of 0.75 or lower and greater than 0.75 indicated well-controlled asthma (WCA) and ICA. Percent predicted values of IOS parameters and IOS reference values for upper and lower limits of normal (>95th and <5th percentiles, respectively) were calculated on the basis of previously published equations.
Results: There were no significant differences in all spirometric indices between the WCA (n = 59) and the ICA (n = 101) groups. The % predicted values of IOS parameters except resistance at 20 Hz (R20) were significantly different between the 2 groups. Receiver operating characteristic analysis showed that the highest and lowest areas under the curve were 0.81 and 0.67 for the difference between the resistances at 5 Hz and 20 Hz (R5-R20) and R20 in discrimination of ICA versus WCA. The areas under the curve for IOS parameters were improved by combination with FeNO. The better discriminative ability of IOS was also supported by the higher values of the concordance index for the resistance at 5 Hz (R5), R5-R20, the reactance at 5 Hz (X5), and the resonant frequency of reactance than those for spirometric parameters. Compared with those with normal values, subjects with abnormal IOS parameters or high FeNO had significantly higher odds of having ICA.
Conclusions: The IOS parameters and FeNO were shown to be useful in identifying children with ICA when spirometry was normal.
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http://dx.doi.org/10.1016/j.jaip.2023.04.039 | DOI Listing |
Immunol Invest
January 2025
Department of Respiratory Medicine, First Affiliated Hospital, Heilongjiang University of Chinese Medicine, Harbin, China.
Introduction: T helper 17 (Th17) cells have a significant effect in the pathogenesis of asthma, and signal transducer and activator of transcription 3 (STAT3) pathway activation is critical for Th17 cell differentiation. Timosaponin A-III (TA3) was reported to inhibit the STAT3 pathway. Here, we investigated whether TA3 improved asthma by inhibiting the STAT3 pathway.
View Article and Find Full Text PDFIntroductionAsthma 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 PDFWorld J Diabetes
January 2025
Department of Medicine, The Royal College of Surgeons in Ireland-Bahrain, Busiateen 15503, Muharraq, Bahrain.
Background: The relationship between diabetes mellitus (DM) and asthma is complex and can impact disease trajectories.
Aim: To explore the bidirectional influences between the two conditions on clinical outcomes and disease control.
Methods: We systematically reviewed the literature on the relationship between DM and asthma, focusing on their impacts, mechanisms, and therapeutic implications.
J Inflamm Res
January 2025
Department of Geriatric Respiratory and Critical Care, The First Affiliated Hospital of Anhui Medical University, Anhui Geriatric Institute, Hefei, Anhui, People's Republic of China.
Aim: We sought to investigate the impact of CpG oligodeoxynucleotides (CpG-ODN) administration on the lung and gut microbiota in asthmatic mice, specifically focusing on changes in composition, diversity, and abundance, and to elucidate the microbial mechanisms underlying the therapeutic effects of CpG-ODN and identify potential beneficial bacteria indicative of its efficacy.
Methods: HE staining were used to analyze inflammation in lung, colon and small intestine tissues. High-throughput sequencing technology targeting 16S rRNA was employed to analyze the composition, diversity, and correlation of microbiome in the lung, colon and small intestine of control, model and CpG-ODN administration groups.
Rev Med Liege
January 2025
Service de Pneumologie, CHU Liège, Belgique.
Asthma is a common respiratory disease, accounting for 3 to 10 % of severe cases. Among these, bronchiectasis is more frequent (prevalence between 15.5 % and 67.
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