COVID-19 cases and their outcome among patients with uncommon co-existing illnesses: A lesson from Northern India
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...
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| Format: | Article |
| Language: | English |
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Elsevier
2022-05-01
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| Series: | Clinical Epidemiology and Global Health |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2213398422000860 |
| _version_ | 1811239521993359360 |
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| author | 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 Satyendra Kumar Sonkar Vivek Kumar Kamal Kumar Sawlani Kamlesh Kumar Gupta 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 Rajeev Verma 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 Vivek Kumar 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 |
| author_facet | 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 Satyendra Kumar Sonkar Vivek Kumar Kamal Kumar Sawlani Kamlesh Kumar Gupta 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 Rajeev Verma 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 Vivek Kumar 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 |
| author_sort | D. Himanshu Reddy |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-04-12T13:01:22Z |
| format | Article |
| id | doaj.art-22fe97f71b3d48d8a6fcbcfe07fea0f8 |
| institution | Directory Open Access Journal |
| issn | 2213-3984 |
| language | English |
| last_indexed | 2024-04-12T13:01:22Z |
| publishDate | 2022-05-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Clinical Epidemiology and Global Health |
| spelling | doaj.art-22fe97f71b3d48d8a6fcbcfe07fea0f82022-12-22T03:32:09ZengElsevierClinical Epidemiology and Global Health2213-39842022-05-0115101044COVID-19 cases and their outcome among patients with uncommon co-existing illnesses: A lesson from Northern IndiaD. Himanshu Reddy0Virendra Atam1Priyanka Rai2Farman Khan3Saurabh Pandey4Hardeep Singh Malhotra5Kamlesh Kumar Gupta6Satyendra Kumar Sonkar7Rajeev Verma8Kauser UsmanShyam Chand ChaudharySatyendra Kumar SonkarVivek KumarKamal Kumar SawlaniKamlesh Kumar GuptaM.L. PatelD. HimanshuAjay KumarSudhir Kr VermaMedhavi GautamHarish GuptaSatish KumarDeepak BaghchandananiAmbuj YadavM. LambaAmit Kumar SuhailRati PrabhaDarshan BajajAbhishek Bahadur SinghMayank MahendraGaurav KumarNarendra KumarBal Krishna OjhaRajeev VermaDhananjay Kumar VermaVinod KumarSuresh SinghShivam GuptaMohammad HashimKuldeep VermaAkriti BhardwajAnurag ChaudharyHimanshu Chaudhan KaustubhKinjalk DubeyNaveen Kumar RiturajJanmajay KumarSomesh SrivastavShiv Paratap SinghSunita KumariSudham SrivastaveJyoti VermaMohmmad Ahmad HussainAmmar Sabir SiddiquiAzher RizviChitranshu PancholiDeepak SharmaDeepak Kumar VermaDavid ZothansangaKuldeep SinghPrashant Kumar SinghRahul KumarVipin Raj BhartiShahnawaz Ali AnsariVivek KumarMonika KallaniHarish BhartiAnkita SinghAvirup MajumdarNeeraj VermaMayank MishraPankaj Kumar GuptaShubhanshu ShivhareMudit KotwalPrashant MaharPraduman MallKrishnapal Singh ParmarGuddoo KumarDepartment of Internal Medicine, KGMU, Lucknow, IndiaDepartment of Internal Medicine, KGMU, Lucknow, IndiaDepartment of Pathology, MVASMC, Basti, IndiaDepartment of Internal Medicine, KGMU, Lucknow, IndiaMedicine & Infectious Diseases Unit, PMC Hospital, Basti, India; Corresponding author. PMC Hospital, Gandhi nagar, Basti, Uttar Pradesh, 272001, India.Department of Neurology, KGMU, Lucknow, IndiaDepartment of Internal Medicine, KGMU, Lucknow, IndiaDepartment of Internal Medicine, KGMU, Lucknow, IndiaDepartment of Internal Medicine, AIIMS, Gorakhpur, IndiaIntroduction: 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.http://www.sciencedirect.com/science/article/pii/S2213398422000860Uncommon coexisting illnessCOVID 19TuberculosisTropical infectionsBacterialRheumatologic |
| spellingShingle | 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 Satyendra Kumar Sonkar Vivek Kumar Kamal Kumar Sawlani Kamlesh Kumar Gupta 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 Rajeev Verma 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 Vivek Kumar 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 COVID-19 cases and their outcome among patients with uncommon co-existing illnesses: A lesson from Northern India Clinical Epidemiology and Global Health Uncommon coexisting illness COVID 19 Tuberculosis Tropical infections Bacterial Rheumatologic |
| title | COVID-19 cases and their outcome among patients with uncommon co-existing illnesses: A lesson from Northern India |
| title_full | COVID-19 cases and their outcome among patients with uncommon co-existing illnesses: A lesson from Northern India |
| title_fullStr | COVID-19 cases and their outcome among patients with uncommon co-existing illnesses: A lesson from Northern India |
| title_full_unstemmed | COVID-19 cases and their outcome among patients with uncommon co-existing illnesses: A lesson from Northern India |
| title_short | COVID-19 cases and their outcome among patients with uncommon co-existing illnesses: A lesson from Northern India |
| title_sort | covid 19 cases and their outcome among patients with uncommon co existing illnesses a lesson from northern india |
| topic | Uncommon coexisting illness COVID 19 Tuberculosis Tropical infections Bacterial Rheumatologic |
| url | http://www.sciencedirect.com/science/article/pii/S2213398422000860 |
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