Context: Asthma control is suboptimal in the Middle East and North Africa (MENA).
Aims: The aim of this study is to assess the level of asthma control in Saudi patients as per the Global Initiative for Asthma 2012 classification and explore its potential predictive factors.
Settings And Design: Epidemiological Study on the Management of Asthma in Asthmatic Middle East Adult Population (ESMAA) is a multicentric, descriptive, epidemiological study assessing asthma management in the MENA region. In this article, we report the results of patients from Saudi Arabia included in the ESMAA study.
Methods: Adult patients diagnosed with asthma at least 1 year before study entry were considered for inclusion. Asthma control level and its predictive factors were explored. Treatment adherence and quality of life (QoL) were assessed by MMAS-4 and Short Form 8 Health Survey QoL questionnaires, respectively.
Statistical Analysis Used: Descriptive statistics were done considering two-sided 95% confidence intervals. Logistic regression was used to explore the potential predictive factors of asthma control. All statistical tests were two-sided, and < 0.05 was considered statistically significant.
Results: Data of 1009 patients from Saudi Arabia were analyzed. Less than one-third of patients (30.1%) were found to have controlled asthma with significantly higher QoL. High level of asthma control was reported among male patients and those with high educational level, while age, body mass index, and adherence to treatment were found to have no effect on asthma control.
Conclusions: Asthma control remains suboptimal among Saudi population. This needs huge efforts to achieve acceptable levels of control and better QoL for asthma patients. Further studies are still needed in Saudi Arabia and the Middle East region.
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http://dx.doi.org/10.4103/atm.ATM_348_18 | 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.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!