Network


Latest external collaboration on country level. Dive into details by clicking on the dots.

Hotspot


Dive into the research topics where Yogesh Thorat is active.

Publication


Featured researches published by Yogesh Thorat.


npj Primary Care Respiratory Medicine | 2017

Peak flow meter with a questionnaire and mini-spirometer to help detect asthma and COPD in real-life clinical practice: a cross-sectional study

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

Smart phone-based auscultation platform

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

Use of cough sounds for diagnosis and screening of pulmonary disease

Christian Infante; Daniel Chamberlain; Rich Fletcher; Yogesh Thorat; Rahul Kodgule


European Respiratory Journal | 2017

The Use of Respiratory Sounds for Automated Detection of Obstructive Pulmonary Disease: Do Lung Sound Labels Provide Value?

Richard Fletcher; Daniel Chamberlain; Yogesh Thorat; Vandana Vincent; Rahul Kodgule


European Respiratory Journal | 2016

Smart phone-based platform for diagnosing asthma and COPD

Daniel Chamberlain; Rahul Kodgule; Yogesh Thorat; Vandana Das; Richard Fletcher


European Respiratory Journal | 2016

Evaluation of novel augmented reality based mobile application to record peak expiratory flow rates

Rahul Kodgule; Daniel Chamberlain; Yogesh Thorat; Vandana Das; Rich Fletcher


European Respiratory Journal | 2015

Accuracy of questionnaire with peak flow for diagnosis of airway obstruction and differentiating between asthma and COPD

Rahul Kodgule; Yogesh Thorat; Sundeep Salvi


European Respiratory Journal | 2014

Effect of cold stimulation over face on 6 minute walk distance (6MWD), oxygen saturation and dyspnea scores in patients with COPD

Shweta Rasam; Devashree Salvi; Yogesh Thorat; Sandeep Salvi; Rahul Kodgule


European Respiratory Journal | 2014

Evaluation of COPD-6 device for detecting airflow limitation and predicting clinical diagnosis

Yogesh Thorat; Shweta Rasam; Sundeep Salvi; Rahul Kodgule; Rahul Ramesh


European Respiratory Journal | 2014

High prevalence of respiratory symptoms and obstructive airways diseases among employees of the 9sanitation department9 in an Indian city

Monica Barne; Renuka Gaikwad; Komalkirti Apte; Sunayana Shinde; Jyoti Londhe; Priyanka Choudhary; Yogesh Thorat; Sapna Madas; Archana Rao; Sundeep Salvi

Collaboration


Dive into the Yogesh Thorat's collaboration.

Top Co-Authors

Avatar

Rahul Kodgule

Massachusetts Institute of Technology

View shared research outputs
Top Co-Authors

Avatar

Daniel Chamberlain

Massachusetts Institute of Technology

View shared research outputs
Top Co-Authors

Avatar

Sundeep Salvi

Southampton General Hospital

View shared research outputs
Top Co-Authors

Avatar

Richard Fletcher

Massachusetts Institute of Technology

View shared research outputs
Top Co-Authors

Avatar

Vandana Das

Massachusetts Institute of Technology

View shared research outputs
Top Co-Authors

Avatar

Rich Fletcher

Massachusetts Institute of Technology

View shared research outputs
Top Co-Authors

Avatar

Christian Infante

Massachusetts Institute of Technology

View shared research outputs
Top Co-Authors

Avatar

Daniela Ganelin

Massachusetts Institute of Technology

View shared research outputs
Top Co-Authors

Avatar

Vivek Miglani

Massachusetts Institute of Technology

View shared research outputs
Top Co-Authors

Avatar

Ajay Lanjewar

Mahatma Gandhi Institute of Medical Sciences

View shared research outputs
Researchain Logo
Decentralizing Knowledge