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  • COVID-19 cases and their ou...
    Reddy, D. Himanshu; Atam, Virendra; Rai, Priyanka; Khan, Farman; Pandey, Saurabh; Malhotra, Hardeep Singh; Gupta, Kamlesh Kumar; Sonkar, Satyendra Kumar; Verma, Rajeev; Usman, Kauser; Chaudhary, Shyam Chand; Sonkar, Satyendra Kumar; Kumar, Vivek; Sawlani, Kamal Kumar; Gupta, Kamlesh Kumar; Patel, M.L.; Himanshu, D.; Kumar, Ajay; Verma, Sudhir Kr; Gautam, Medhavi; Gupta, Harish; Kumar, Satish; Baghchandanani, Deepak; Yadav, Ambuj; Lamba, M.; Kumar, Amit; Suhail; Prabha, Rati; Bajaj, Darshan; Singh, Abhishek Bahadur; Mahendra, Mayank; Kumar, Gaurav; Kumar, Narendra; Ojha, Bal Krishna; Verma, Rajeev; Verma, Dhananjay Kumar; Kumar, Vinod; Singh, Suresh; Gupta, Shivam; Hashim, Mohammad; Verma, Kuldeep; Bhardwaj, Akriti; Chaudhary, Anurag; Chaudhan, Himanshu; Kaustubh; Dubey, Kinjalk; Kumar, Naveen; Rituraj; Kumar, Janmajay; Srivastav, Somesh; Singh, Shiv Paratap; Kumari, Sunita; Srivastave, Sudham; Verma, Jyoti; Hussain, Mohmmad Ahmad; Siddiqui, Ammar Sabir; Rizvi, Azher; Pancholi, Chitranshu; Sharma, Deepak; Verma, Deepak Kumar; Zothansanga, David; Singh, Kuldeep; Singh, Prashant Kumar; Kumar, Rahul; Bharti, Vipin Raj; Ansari, Shahnawaz Ali; Kallani, Monika; Bharti, Harish; Singh, Ankita; Majumdar, Avirup; Verma, Neeraj; Mishra, Mayank; Gupta, Pankaj Kumar; Shivhare, Shubhanshu; Kotwal, Mudit; Mahar, Prashant; Mall, Praduman; Parmar, Krishnapal Singh; Kumar, Guddoo

    Clinical epidemiology and global health, 05/2022, Letnik: 15
    Journal Article

    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. 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. 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. 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.