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Introduction: Bronchial asthma is one of the chronic inflammatory disorders of the respiratory tract causing a huge number of deaths annually. Increased industrialization and pollution are the exacerbating factors for this situation. In Ayurveda, this miserable condition is comparable with Tamaka Shwasa. Synthetic drugs provide instant symptomatic relief in cases of bronchial asthma but are known to develop certain adverse drug reactions. Considering this, the current suffering population is looking hopefully towards other systems of medicine such as Ayurveda for better relief. Ayurveda has a number of formulations to treat Tamaka Shwasa and is in practice with proven efficacy.
Aims: To evaluate comparative clinical efficacy of Vasa Avaleha (VA) and its granules (GVA) in cases of Tamaka Shwasa.
Materials And Methods: A total of 66 patients were registered and randomly grouped into A and B. Patients of Group A were treated with VA, while Group B with GVA at dose of 6 g twice a day with lukewarm water for the duration of 28 days. Follow-up was done after 14 days. The results were assessed in terms of clinical recovery, symptomatic relief, and pulmonary function improvement. Effect of the treatment was assessed based on subjective and objective parameters.
Results: Significant improvement was observed in most of the cardinal and associated symptoms. Significant increase in peak expiratory flow rate, considerable decrease in absolute eosinophil count, and increased breath holding time were noticed. Withdrawal of modern emergency drugs, decreased frequency of attacks, improved quality of life were the major observations noticed in both groups.
Conclusions: This study highlights the significance of traditional herbal formulations in noncommunicable diseases such as bronchial asthma, which can be used as an effective drug in place or along with modern drugs.
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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4895753 | PMC |
http://dx.doi.org/10.4103/0974-8520.182760 | DOI Listing |
Immunotherapy
September 2025
aGuangzhou Institute of Respiratory Health, State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, National Center for Respiratory Medicine, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.
Asthma is a chronic respiratory disorder characterized by airway inflammation, hyperresponsiveness, and reversible airflow obstruction. Despite therapeutic strategies, asthma remains inadequately controlled in many patients. Genetic predisposition plays a significant role in asthma pathogenesis, and the Proteinase-Activated Receptor 2 (PAR-2), encoded by the F2RL1 gene, has been associated with asthma.
View Article and Find Full Text PDFIndian J Pediatr
September 2025
Department of Pediatrics, Hospital of Ben Arous, University of Tunis El Manar, Faculty of Medicine of Tunis, Ben Arous, 1007, Tunisia.
Thorax
September 2025
Usher Institute, The University of Edinburgh, Edinburgh, UK
Background: The long-acting monoclonal antibody nirsevimab and respiratory syncytial virus (RSV) vaccines became available for prevention of severe RSV-associated disease in 2023. While clinical trials showed good efficacy and safety, their restrictive inclusion criteria, small sample sizes and short follow-up limit generalisability. We aimed to summarise real-world evidence on the effectiveness and safety of nirsevimab, RSV maternal vaccine and RSV vaccines for older adults.
View Article and Find Full Text PDFPharmacoepidemiol Drug Saf
September 2025
Sanofi, Cambridge, Massachusetts, USA.
Purpose: Given the increased likelihood for individuals with severe asthma to experience comorbidities, disease complications, emergency room visits, and hospitalizations, the ability to stratify asthma populations on severity is often important. Although pharmacoepidemiologic studies using administrative healthcare databases sometimes categorize asthma severity, there is no consensus on an approach.
Methods: Individuals with asthma (≥ 2 ICD-10-CM diagnosis codes J45) aged ≥ 6 years were identified in Optum's de-identified Clinformatics Data Mart Database between January 2017 and November 2023.