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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...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Authors. Published by Elsevier B.V. on behalf of INDIACLEN.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9004146/ http://dx.doi.org/10.1016/j.cegh.2022.101044 |
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author | Reddy, D. Himanshu Atam, Virendra Rai, Priyanka Khan, Farman Pandey, Saurabh Malhotra, Hardeep Singh Gupta, Kamlesh Kumar Sonkar, Satyendra Kumar Verma, Rajeev |
author_facet | Reddy, D. Himanshu Atam, Virendra Rai, Priyanka Khan, Farman Pandey, Saurabh Malhotra, Hardeep Singh Gupta, Kamlesh Kumar Sonkar, Satyendra Kumar Verma, Rajeev |
author_sort | Reddy, D. Himanshu |
collection | PubMed |
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. |
format | Online Article Text |
id | pubmed-9004146 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | The Authors. Published by Elsevier B.V. on behalf of INDIACLEN. |
record_format | MEDLINE/PubMed |
spelling | pubmed-90041462022-04-12 COVID-19 cases and their outcome among patients with uncommon co-existing illnesses: A lesson from Northern India Reddy, D. Himanshu Atam, Virendra Rai, Priyanka Khan, Farman Pandey, Saurabh Malhotra, Hardeep Singh Gupta, Kamlesh Kumar Sonkar, Satyendra Kumar Verma, Rajeev Clin Epidemiol Glob Health Article 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. The Authors. Published by Elsevier B.V. on behalf of INDIACLEN. 2022 2022-04-12 /pmc/articles/PMC9004146/ http://dx.doi.org/10.1016/j.cegh.2022.101044 Text en © 2022 The Authors Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Article Reddy, D. Himanshu Atam, Virendra Rai, Priyanka Khan, Farman Pandey, Saurabh Malhotra, Hardeep Singh Gupta, Kamlesh Kumar Sonkar, Satyendra Kumar Verma, Rajeev COVID-19 cases and their outcome among patients with uncommon co-existing illnesses: A lesson from Northern India |
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 | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9004146/ http://dx.doi.org/10.1016/j.cegh.2022.101044 |
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