Yogesh Thorat
Massachusetts Institute of Technology
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Featured researches published by Yogesh Thorat.
npj Primary Care Respiratory Medicine | 2017
Yogesh Thorat; Sundeep Salvi; Rahul Kodgule
Peak flow meter with questionnaire and mini-spirometer are considered as alternative tools to spirometry for screening of asthma and chronic obstructive pulmonary disease. However, the accuracy of these tools together, in clinical settings for disease diagnosis, has not been studied. Two hundred consecutive patients with respiratory complaints answered a short symptom questionnaire and performed peak expiratory flow measurements, standard spirometry with Koko spirometer and mini-spirometry (COPD-6). Spirometry was repeated after bronchodilation. Physician made a final diagnosis of asthma, chronic obstructive pulmonary disease and others. One eighty nine patients (78 females) with age 51 ± 17 years with asthma (115), chronic obstructive pulmonary disease (33) and others (41) completed the study. “Breathlessness > 6months” and “cough > 6months” were important symptoms to detect obstructive airways disease. “Asymptomatic period > 2 weeks” had the best sensitivity (Sn) and specificity (Sp) to differentiate asthma and chronic obstructive pulmonary disease. A peak expiratory flow of < 80% predicted was the best cut-off to detect airflow limitation (Sn 90%, Sp 50%). Respiratory symptoms with PEF < 80% predicted, had Sn 84 and Sp 93% to detect OAD. COPD-6 device under-estimated FEV1 by 13 mL (95% CI: −212, 185). At a cut-off of 0.75, the FEV1/FEV6 had the best accuracy (Sn 80%, Sp 86%) to detect airflow limitation. Peak flow meter with few symptom questions can be effectively used in clinical practice for objective detection of asthma and chronic obstructive pulmonary disease, in the absence of good quality spirometry. Mini-spirometers are useful in detection of obstructive airways diseases but FEV1 measured is inaccurate.Chronic lung diseases: Differentiating conditions in poorly-equipped settingsA simple questionnaire and peak flow meter measurements can help doctors differentiate between asthma and chronic lung disease. In clinical settings where access to specialist equipment and knowledge is limited, it can be challenging for doctors to tell the difference between asthma and chronic obstructive pulmonary disease (COPD). To determine a viable alternative method for differentiating between these diseases, Rahul Kodgule and colleagues at the Chest Research Foundation in Pune, India, trialed a simplified version of two existing symptom questionnaires, combined with peak flow meter measurements. They assessed 189 patients using this method, and found it aided diagnosis with high sensitivity and specificity. Breathlessness, cough and wheeze were the minimal symptoms required for COPD diagnosis, while the length of asymptomatic periods was most helpful in distinguishing asthma from COPD.
European Respiratory Journal | 2016
Daniel Chamberlain; Rahul Kodgule; Yogesh Thorat; Vandana Das; Vivek Miglani; Daniela Ganelin; Alpa Dalal; Tushar Sahasrabudhe; Ajay Lanjewar; Richard Fletcher
global humanitarian technology conference | 2017
Christian Infante; Daniel Chamberlain; Rich Fletcher; Yogesh Thorat; Rahul Kodgule
European Respiratory Journal | 2017
Richard Fletcher; Daniel Chamberlain; Yogesh Thorat; Vandana Vincent; Rahul Kodgule
European Respiratory Journal | 2016
Daniel Chamberlain; Rahul Kodgule; Yogesh Thorat; Vandana Das; Richard Fletcher
European Respiratory Journal | 2016
Rahul Kodgule; Daniel Chamberlain; Yogesh Thorat; Vandana Das; Rich Fletcher
European Respiratory Journal | 2015
Rahul Kodgule; Yogesh Thorat; Sundeep Salvi
European Respiratory Journal | 2014
Shweta Rasam; Devashree Salvi; Yogesh Thorat; Sandeep Salvi; Rahul Kodgule
European Respiratory Journal | 2014
Yogesh Thorat; Shweta Rasam; Sundeep Salvi; Rahul Kodgule; Rahul Ramesh
European Respiratory Journal | 2014
Monica Barne; Renuka Gaikwad; Komalkirti Apte; Sunayana Shinde; Jyoti Londhe; Priyanka Choudhary; Yogesh Thorat; Sapna Madas; Archana Rao; Sundeep Salvi