1. Phenotypes in Bronchiectasis from the EMBARC India Registry
- Author
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Preethi Vasudev, Padukudru Anand Mahesh, Palak Shah, Arpan Shah, Sagar Chandrashekariah, K R Venugopal, Rahul Kungwani, Nikita Jajodia, Saurabh Karmakar, Rajendra Prasad, Leena Johnson, Sunil Vyas, Aditya Jindal, Kripesh Sarmah, Devi H.J. Gayathri, Archana Baburao, Anshul Mangla, Kaushik Saha, Arjun Khanna, Raja Dhar, Shubham Sharma, Himanshu Garg, B.S. Jayaraj, Deepak Talwar, Sundeep Salvi, S. Alberti, Shivani Saxena, Sheetu Singh, Samir Gami, Girija Nair, Virendra Singh, Anantharaj Suresh, Srinivas Rajagopala, Honney Sawhney, Babaji Ghewade, Surya Kant, Sneha Limaye, Naveen Dutt, Rajesh Swarnakar, Sonali Trivedi, Akanksha Das, George D'Souza, Harsh Saxena, James D. Chalmers, Padmanabhan Arjun, and Arti Shah
- Subjects
medicine.medical_specialty ,Bronchiectasis ,business.industry ,Sputum Production ,Disease ,medicine.disease ,Natural history ,FEV1/FVC ratio ,Quality of life ,Internal medicine ,Cohort ,medicine ,Etiology ,business - Abstract
Introduction: Bronchiectasis is a heterogeneous disease. Previous phenotyping of this disease has been based solely on 5 European databases which do not really account for the remaining world population. Aims and Objectives: This study looked at the Indian EMBARC Registry to try and identify discrete patient groups with different clinical and biological characteristics. Methodology: Principal component and cluster analyses were performed using demographics, co-morbidities, clinical, radiological, physiological and microbiological variables collected during the stable disease state. Results: The data from 1368 prospectively enrolled outpatients from 33 centres in India from the EMBARC India Registry were included for the cluster analysis. Among these patients (mean age 54 years, 60% men) six clusters were identified. Our clusters were driven by patient demographics (age and sex), BMI (median BMI 21.48), aetiology of Bronchiectasis (Idiopathic 22.9%, post TB 34.3%, Post infectious 21.3%, ABPA 9.9%) Lung function (mean FEV1 53.36%, FVC 63.71%). Patients in the six clusters showed significant differences in terms of quality of life, exacerbations and hospitalisations. This is in complete contrast to the European cohort where four clusters were identified driven by the presence of chronic infection with Pseudomonas Aeruginosa or other pathogens and daily sputum production. Conclusion: Hence this is the first effort to define discrete phenotypes of Bronchiectasis patients in an Asian population. Identification of six clinical phenotypes in Bronchiectasis could favour focused treatments in future interventional studies designed to alter the natural history of the disease.
- Published
- 2018
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