Back to Search Start Over

COVID-19 cases and their outcome among patients with uncommon co-existing illnesses: A lesson from Northern India

Authors :
D. Himanshu Reddy
Virendra Atam
Priyanka Rai
Farman Khan
Saurabh Pandey
Hardeep Singh Malhotra
Kamlesh Kumar Gupta
Satyendra Kumar Sonkar
Rajeev Verma
Kauser Usman
Shyam Chand Chaudhary
Vivek Kumar
Kamal Kumar Sawlani
M.L. Patel
D. Himanshu
Ajay Kumar
Sudhir Kr Verma
Medhavi Gautam
Harish Gupta
Satish Kumar
Deepak Baghchandanani
Ambuj Yadav
M. Lamba
Amit Kumar
Suhail
Rati Prabha
Darshan Bajaj
Abhishek Bahadur Singh
Mayank Mahendra
Gaurav Kumar
Narendra Kumar
Bal Krishna Ojha
Dhananjay Kumar Verma
Vinod Kumar
Suresh Singh
Shivam Gupta
Mohammad Hashim
Kuldeep Verma
Akriti Bhardwaj
Anurag Chaudhary
Himanshu Chaudhan
Kaustubh
Kinjalk Dubey
Naveen Kumar
Rituraj
Janmajay Kumar
Somesh Srivastav
Shiv Paratap Singh
Sunita Kumari
Sudham Srivastave
Jyoti Verma
Mohmmad Ahmad Hussain
Ammar Sabir Siddiqui
Azher Rizvi
Chitranshu Pancholi
Deepak Sharma
Deepak Kumar Verma
David Zothansanga
Kuldeep Singh
Prashant Kumar Singh
Rahul Kumar
Vipin Raj Bharti
Shahnawaz Ali Ansari
Monika Kallani
Harish Bharti
Ankita Singh
Avirup Majumdar
Neeraj Verma
Mayank Mishra
Pankaj Kumar Gupta
Shubhanshu Shivhare
Mudit Kotwal
Prashant Mahar
Praduman Mall
Krishnapal Singh Parmar
Guddoo Kumar
Source :
Clinical Epidemiology and Global Health, Vol 15, Iss , Pp 101044- (2022)
Publication Year :
2022
Publisher :
Elsevier, 2022.

Abstract

Introduction: Newer coexisting conditions should be identified in order to modify newer risk factors. Aim was to identify patients with non-classical or less common coexisting conditions in patients infected of COVID 19. Method: Single centred study from June 2020 to May 2021 at a tertiary centre in North India. A preformed questionnaire was used to record clinical and laboratory parameters and to identify cases which are in addition to CDC list and Indian data. Results: 0.67% (46) cases out of 6832 patients were identified to have non-classical coexisting illness. It was divided into 2 groups-infections A (60.1%) and non-infections B (39.9%). Group A included-tuberculosis- pulmonary (14.3%) & extra pulmonary (32.9%), bacterial (25.0%) viral infections [dengue, hepatitis B & C] (14.3%), HIV disease (10.7%) and malaria (3.6%). Group B included- organ transplant (27.8%), autoimmune [myasthenia gravis, polymyositis, psoriasis] (22.6%), haematologic [Haemophilia, ITP, Aplastic anaemia, APML, CML] (27.8%), uncommon malignancies [disseminated sacral chordoma and GTN] (11.1%) and snakebite (11.1%). Serum Procalcitonin was not helpful for diagnosis of bacterial infection in COVID-19 disease. Group A had significantly longer duration of illness, hepatitis and elevated CRP. The mortality in group A & B were 32.1% and 43.8% respectively. Death in non-severe COVID cases was in tetanus and snakebite. 30.7% death among tuberculosis patients. More than 70% of deaths were attributable to COVID 19 in both the groups. Conclusion: In Indian settings, comorbidities like tuberculosis and bacterial infections can precipitate severe COVID 19 unlike other parts of the world where tuberculosis is relatively uncommon.

Details

Language :
English
ISSN :
22133984
Volume :
15
Issue :
101044-
Database :
Directory of Open Access Journals
Journal :
Clinical Epidemiology and Global Health
Publication Type :
Academic Journal
Accession number :
edsdoj.22fe97f71b3d48d8a6fcbcfe07fea0f8
Document Type :
article
Full Text :
https://doi.org/10.1016/j.cegh.2022.101044