Browsing by Author "Rajaat Vohra"

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Authors’ response
(Wolters Kluwer Medknow Publications, 2023) Manickam Ponnaiah; Tarun Bhatnagar; Rizwan Suliankachi Abdulkader; Rajalakshmi Elumalai; Janani Surya; Kathiresan Jeyashree; Muthusamy Santhosh Kumar; Ranjithkumar Govindaraju; Jeromie Wesley Vivian Thangaraj; Hari Krishan Aggarwal; Suresh Balan; Tridip Dutta Baruah; Ayan Basu; Yogita Bavaskar; Ajeet Singh Bhadoria; Ashish Bhalla; Pankaj Bhardwaj; Rachana Bhat; Jaya Chakravarty; Gina Maryann Chandy; Bal Kishan Gupta; Rakesh Kakkar; Ali Hasan Faiz Karnam; Sushila Kataria; Janakkumar Khambholja; Dewesh Kumar; Nithin Kumar; Monaliza Lyngdoh; M. Selva Meena; Kedar Mehta; M.P. Sheethal; Subhasis Mukherjee; Anuj Mundra; Arun Murugan; Seetharaman Narayanan; Balamurugan Nathan; Jutika Ojah; Pushpa Patil; Sunita Pawar; A. Charles Pon Ruban; R. Vadivelu; Rishabh Kumar Rana; S. Nagendra Boopathy; S. Priya; Saroj Kumar Sahoo; Arti Shah; Mohammad Shameem; Karthikeyan Shanmugam; Sachin K. Shivnitwar; Abhishek Singhai; Saurabh Srivastava; Sudheera Sulgante; Arunansu Talukdar; Alka Verma; Rajaat Vohra; Rabbanie Tariq Wani; Bhargavi Bathula; Gayathri Kumari; Divya Saravana Kumar; Aishwariya Narasimhan; N.C. Krupa; Thirumaran Senguttuvan; Parvathi Surendran; Dharsikaa Tamilmani; Alka Turuk; Gunjan Kumar; Aparna Murkherjee; Rakesh Aggarwal; Manoj Vasant Murhekar
[No abstract available]
Authors’ response
(Wolters Kluwer Medknow Publications, 2024) Manickam Ponnaiah; Tarun Bhatnagar; Rizwan Suliankachi Abdulkader; Rajalakshmi Elumalai; Janani Surya; Kathiresan Jeyashree; Muthusamy Santhosh Kumar; Ranjithkumar Govindaraju; Jeromie Wesley Vivian Thangaraj; Hari Krishan Aggarwal; Suresh Balan; Tridip Dutta Baruah; Ayan Basu; Yogita Bavaskar; Ajeet Singh Bhadoria; Ashish Bhalla; Pankaj Bhardwaj; Rachana Bhat; Jaya Chakravarty; Gina Maryann Chandy; Bal Kishan Gupta; Rakesh Kakkar; Ali Hasan Faiz Karnam; Sushila Kataria; Janakkumar Khambholja; Dewesh Kumar; Nithin Kumar; Monaliza Lyngdoh; M. Selva Meena; Kedar Mehta; M.P. Sheethal; Subhasis Mukherjee; Anuj Mundra; Arun Murugan; Seetharaman Narayanan; Balamurugan Nathan; Jutika Ojah; Pushpa Patil; Sunita Pawar; A. Charles Pon Ruban; R. Vadivelu; Rishabh Kumar Rana; S. Nagendra Boopathy; S. Priya; Saroj Kumar Sahoo; Arti Shah; Mohammad Shameem; Karthikeyan Shanmugam; Sachin K. Shivnitwar; Abhishek Singhai; Saurabh Srivastava; Sudheera Sulgante; Arunansu Talukdar; Alka Verma; Rajaat Vohra; Rabbanie Tariq Wani; Bhargavi Bathula; Gayathri Kumari; Divya Saravana Kumar; Aishwariya Narasimhan; N.C. Krupa; Thirumaran Senguttuvan; Parvathi Surendran; Dharsikaa Tamilmani; Alka Turuk; Gunjan Kumar; Aparna Murkherjee; Rakesh Aggarwal; Manoj Vasant Murhekar
[No abstract available]
Classification Accuracy of Linear Discriminant Function using Principal Components with Multiple Correlated Variables: A Simulation based Exploration
(Wolters Kluwer Medknow Publications, 2025) Akash Mishra; Sachit Ganapathy; Narayanapillai Sreekumaran Nair; Durgesh Shukla; Ashish Kumar Yadav; Rajaat Vohra; Kuldeep Soni
Background: Linear Discriminant Analysis (LDA) is a powerful and widely used technique for classification with correlated variables. Principal Components (PCs) group these variables into linear combinations and produce independent variables. The LDA on these PC’s may provide better classification accuracy in clinical diagnostics than on usual measurements. Methodology: Two datasets were utilized for demonstration: one from a Sudden Sensorineural Hearing Loss (SSNHL) case-control study and the other from a Gall Bladder (GB) case-control study. Linear Discriminant Analysis (LDA) was conducted on the actual correlated measured variables for group classification, as well as on the derived principal component variables, to compare their classification accuracies. Performance metrics including Sensitivity, Specificity, Positive Predictive Value (PPV), Negative Predictive Value (NPV), Classification Accuracy, and F1 Score were assessed. For validation, a third simulated dataset was employed. Additionally, LDA was performed on each dataset using eigenvectors of the control group applied to the cases and vice versa, revealing a strong agreement in classification as measured by the kappa statistic. Results: When LDA was applied to the actual lipid measurements in the SSNHL dataset, the classification accuracy was 57.2%, and the F1 score was 39.7%. However, when LDA was performed using principal components (PCs), the classification accuracy markedly improved to 99.2%, with an F1 score of 98.5%. Similarly, for the GB cancer dataset, the classification accuracy and F1 score were initially 77.2% and 77.3%, respectively. Upon applying LDA with the PCs, these metrics were significantly enhanced to 98.4% and 98.3%, respectively. For the simulated dataset, both the classification accuracy and F1 score were 99.1%. The study also demonstrated that the classification accuracy and F1 score remained consistent regardless of whether the eigenvectors from the cases or controls were used to classify new subjects (Kappa Statistic = 0.962, P < 0.001). Conclusion: In group separation, utilizing principal components significantly improves classification accuracy and overall performance metrics, outperforming the use of the original correlated predictors. © 2025 Medical Journal of Dr. D.Y. Patil Vidyapeeth.
Factors associated with unexplained sudden deaths among adults aged 18-45 years in India – A multicentric matched case–control study
(Wolters Kluwer Medknow Publications, 2023) Manickam Ponnaiah; Tarun Bhatnagar; Rizwan Suliankachi Abdulkader; Rajalakshmi Elumalai; Janani Surya; Kathiresan Jeyashree; Muthusamy Santhosh Kumar; Ranjithkumar Govindaraju; Jeromie Wesley Vivian Thangaraj; Hari Krishan Aggarwal; Suresh Balan; Tridip Dutta Baruah; Ayan Basu; Yogita Bavaskar; Ajeet Singh Bhadoria; Ashish Bhalla; Pankaj Bhardwaj; Rachana Bhat; Jaya Chakravarty; Gina Maryann Chandy; Bal Kishan Gupta; Rakesh Kakkar; Ali Hasan Faiz Karnam; Sushila Kataria; Janakkumar Khambholja; Dewesh Kumar; Nithin Kumar; Monaliza Lyngdoh; M. Selva Meena; Kedar Mehta; M.P. Sheethal; Subhasis Mukherjee; Anuj Mundra; Arun Murugan; Seetharaman Narayanan; Balamurugan Nathan; Jutika Ojah; Pushpa Patil; Sunita Pawar; A. Charles Pon Ruban; R. Vadivelu; Rishabh Kumar Rana; S. Nagendra Boopathy; S. Priya; Saroj Kumar Sahoo; Arti Shah; Mohammad Shameem; Karthikeyan Shanmugam; Sachin K. Shivnitwar; Abhishek Singhai; Saurabh Srivastava; Sudheera Sulgante; Arunansu Talukdar; Alka Verma; Rajaat Vohra; Rabbanie Tariq Wani; Bhargavi Bathula; Gayathri Kumari; Divya Saravana Kumar; Aishwariya Narasimhan; N.C. Krupa; Thirumaran Senguttuvan; Parvathi Surendran; Dharsikaa Tamilmani; Alka Turuk; Gunjan Kumar; Aparna Murkherjee; Rakesh Aggarwal; Manoj Vasant Murhekar; Anjan Jyoti Talukdhar; Raj Prathim Das; Pranab Jyoti Bhattacharyya; Pankaj Jyoti Barman; Partha Pratim Das; P.V.M. Lakshmi; Naveen Panday; Ashok Kumar Pannu; Debaprasad Dhibar; Pankaj Kumar Kanauje; Satyajit Singh; Sabah Siddiqui; Nitin Bhajandas Borkar; Mayur Adalja; Sandip Shah Varsha Godbole; Rikin Raj; Nehal Shah; Nilay Suthar; Hemang Purohit; Bhargav Patel; Rutika Pathkjee; Niraj Pandit; Siddharth Shah; Bhavesh Patel; Anuja Agrawal; Deepak Jain; Manish Bansal; Vikas Deswal; Pooja Sharma; Farhana Siraj; Aamir Rashid; Anjum Bashir Fazili; Pradip Kumar Bhattacharya; Hirendra Birua; Manoj Kumar Prasad; Shashi Bhushan Singh; Umendra Kumar Ojha; Ravi Ranjan Jha; L.M. Manuja; S.K. Raghavendra; Vijay Hugar; R. Radha; Pallavi Kesari; Sunil Tapse; Ambrish Avate; Prasanna Kumar; Bhaskaran Unnikrishnan; T. Rekha; A. Basavaprabhu; Mithun Rao; Prithvishree Ravindra; Chythra R. Rao; Jayaraj Mymbilly Balakrishnan; Vikram Palimar; S. Ashwini; Bhavana Hiremath; Rajnikanth Malapur; Ankur Joshi; Manoj Nagar; Atul S. Keche; Arjun Lal Kakrani; Shubhangi Kanitkar; Srikanth Tripathy; Savita Mahajan; Akshada Shinde; Sunil Patil; Vijay Gaikwad; Ganesh Lokhande; Astha Ganeriwal; Ramesh Wasnik; Ashwini Kalantri; Dhiraj Bhandari; Preetam Salunkhe; Abhishek Raut; Star Pala; K.G. Lynrah; Nari Lyngdoh; Rajani Thabah; Manish Kapoor; Sadananda Barik; Chitta Ranjan Mohanty; Sonu Hangma Subba; Satyabrata Guru; Manu Ayyan; Sitanshu Sekhar Kar; Nanda Kishore Maroju; Naveen Kumar; Roselin Mohandas; Charulatha Tamilselvan; Saranya Rajaram; Ankita Kankaria; Moonis Mirza; Preeti Singh Dhoat; Jaspreet Shergill; Manoj Kumar Gupta; Akhil Dhanesh Goel; Amit Kumar Rohila; Durga Shankar Meena; Archana Paliwal; Niti Gahlot; Nikita Sharma; Harkesh Kumar; Dinesh Choudhary; Shyam Lal Meena; Dinesh Bhambhu; Jigyasa Gupta; G. Priya; Sonia Samuel; S. Bagyalakshmi; Sathish Kumar T; Aazmi Mohamed; G. Rathna Kumar; A. Rajesh; V. Rajendran; M. Soorya; P.N. Sridevi; A. Karthika; K. Santha Sheela Kumari; K. Sathish Kumar; Pavithra Gnanavel; Dasarathan Ramesh; Aravind Gunasekaran; R. Kaverikannan; Madhumitha Manohar; P. Sofia; R. Abishek; Jeevithan Shanmugam; Mohan Kumar; Aparnavi Periyasamy; Dhilipan Kumar; G. Selvarani; Thirukumaran Ramasamy; N. Suresh; Kannan Muthuraman Alagappan; Mathavasami Vijayageetha; Sudha Ramalingam; Petchiappan Velammal; Yamini Subramani; Lakshmi Marappa; Viswanathan Pandurangan; T.R. Muralidharan; M. Rajkumar; Senthil Murugan Ramasamy; Bodhare Trupti; Bharath Rajh; Duvuru Amareswar Reddy; Rashmi Upadhyay; Anurag Srivastava; Rakesh Gupta; Ranjan Bhattnagar; Manaswi Chaubey; Soumik Ghosh; Nilesh Kumar; Mohammad Azharuddin; Nafees A. Khan; Mohammad Aslam; Asad Mahmood; R.K. Singh; Priyank Yadav; Aditya Kapoor; Om Prakash Sanjeev; Shyam Sundar; Prasan Kumar Panda; Mukesh Bairwa; Mahendera Singh Gehlot; Pooja Bhadoria; Arup Chakravorty; Sarmistha Chakravorty; Arindam Ray; Aparup Dhua; Amitava Pal; Priyanka Ghosh; Yogiraj Roy; Sinjita Dutta; Subhro Samujjal Basu
Background & objectives: In view of anecdotal reports of sudden unexplained deaths in India’s apparently healthy young adults, linking to coronavirus disease 2019 (COVID-19) infection or vaccination, we determined the factors associated with such deaths in individuals aged 18-45 years through a multicentric matched case–control study. Methods: This study was conducted through participation of 47 tertiary care hospitals across India. Cases were apparently healthy individuals aged 18-45 years without any known co-morbidity, who suddenly (<24 h of hospitalization or seen apparently healthy 24 h before death) died of unexplained causes during 1st October 2021-31st March 2023. Four controls were included per case matched for age, gender and neighborhood. We interviewed/perused records to collect data on COVID-19 vaccination/infection and post-COVID-19 conditions, family history of sudden death, smoking, recreational drug use, alcohol frequency and binge drinking and vigorous-intensity physical activity two days before death/interviews. We developed regression models considering COVID-19 vaccination ≤42 days before outcome, any vaccine received anytime and vaccine doses to compute an adjusted matched odds ratio (aOR) with 95 per cent confidence interval (CI). Results: Seven hundred twenty nine cases and 2916 controls were included in the analysis. Receipt of at least one dose of COVID-19 vaccine lowered the odds [aOR (95% CI)] for unexplained sudden death [0.58 (0.37, 0.92)], whereas past COVID-19 hospitalization [3.8 (1.36, 10.61)], family history of sudden death [2.53 (1.52, 4.21)], binge drinking 48 h before death/interview [5.29 (2.57, 10.89)], use of recreational drug/substance [2.92 (1.1, 7.71)] and performing vigorous-intensity physical activity 48 h before death/interview [3.7 (1.36, 10.05)] were positively associated. Two doses lowered the odds of unexplained sudden death [0.51 (0.28, 0.91)], whereas single dose did not. Interpretation & conclusions: COVID-19 vaccination did not increase the risk of unexplained sudden death among young adults in India. Past COVID-19 hospitalization, family history of sudden death and certain lifestyle behaviors increased the likelihood of unexplained sudden death. © 2023 Indian Journal of Medical Research, published by Wolters Kluwer - Medknow for Director-General, Indian Council of Medical Research.