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Admission Hyperglycemia in Non-diabetics Predicts Mortality and Disease Severity in COVID-19: a Pooled Analysis and Meta-summary of Literature
In the latter part of 2019, a cluster of unexplained pneumonia cases were reported in Wuhan, China. In less than a year, SARS-CoV-2 has infected over 27 million people and claimed more than 800,000 deaths worldwide. Diabetes is a highly prevalent chronic metabolic disease, and recent reports have su...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7550017/ https://www.ncbi.nlm.nih.gov/pubmed/33073173 http://dx.doi.org/10.1007/s42399-020-00575-8 |
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author | Sachdeva, Sonali Desai, Rupak Gupta, Udita Prakash, Anupam Jain, Abhinav Aggarwal, Ankita |
author_facet | Sachdeva, Sonali Desai, Rupak Gupta, Udita Prakash, Anupam Jain, Abhinav Aggarwal, Ankita |
author_sort | Sachdeva, Sonali |
collection | PubMed |
description | In the latter part of 2019, a cluster of unexplained pneumonia cases were reported in Wuhan, China. In less than a year, SARS-CoV-2 has infected over 27 million people and claimed more than 800,000 deaths worldwide. Diabetes is a highly prevalent chronic metabolic disease, and recent reports have suggested a possible existence of COVID-19 related new-onset diabetes. Hyperglycemia induces an inflammatory state in the body, which coupled with coronavirus associated immune response is a possible explanation for clinical worsening of patients. We present a summary and pooled analysis of available evidence to ascertain the relationship between hyperglycemia in undiagnosed diabetics and outcomes of COVID-19 disease. Our results showed that hyperglycemia in non-diabetics was associated with higher risk of severe/critical illness (OR 1.837 (95% CI 1.368–2.465, P < 0.001) and mortality (2.822, 95% CI 1.587–5.019, P < 0.001) compared with those with normal values of blood glucose. The management of hyperglycemia in COVID-19 poses significant challenges in clinical practice, and the need to develop strategies for optimal glucose control in these patients cannot be overlooked. |
format | Online Article Text |
id | pubmed-7550017 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-75500172020-10-14 Admission Hyperglycemia in Non-diabetics Predicts Mortality and Disease Severity in COVID-19: a Pooled Analysis and Meta-summary of Literature Sachdeva, Sonali Desai, Rupak Gupta, Udita Prakash, Anupam Jain, Abhinav Aggarwal, Ankita SN Compr Clin Med Covid-19 In the latter part of 2019, a cluster of unexplained pneumonia cases were reported in Wuhan, China. In less than a year, SARS-CoV-2 has infected over 27 million people and claimed more than 800,000 deaths worldwide. Diabetes is a highly prevalent chronic metabolic disease, and recent reports have suggested a possible existence of COVID-19 related new-onset diabetes. Hyperglycemia induces an inflammatory state in the body, which coupled with coronavirus associated immune response is a possible explanation for clinical worsening of patients. We present a summary and pooled analysis of available evidence to ascertain the relationship between hyperglycemia in undiagnosed diabetics and outcomes of COVID-19 disease. Our results showed that hyperglycemia in non-diabetics was associated with higher risk of severe/critical illness (OR 1.837 (95% CI 1.368–2.465, P < 0.001) and mortality (2.822, 95% CI 1.587–5.019, P < 0.001) compared with those with normal values of blood glucose. The management of hyperglycemia in COVID-19 poses significant challenges in clinical practice, and the need to develop strategies for optimal glucose control in these patients cannot be overlooked. Springer International Publishing 2020-10-12 2020 /pmc/articles/PMC7550017/ /pubmed/33073173 http://dx.doi.org/10.1007/s42399-020-00575-8 Text en © Springer Nature Switzerland AG 2020 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Covid-19 Sachdeva, Sonali Desai, Rupak Gupta, Udita Prakash, Anupam Jain, Abhinav Aggarwal, Ankita Admission Hyperglycemia in Non-diabetics Predicts Mortality and Disease Severity in COVID-19: a Pooled Analysis and Meta-summary of Literature |
title | Admission Hyperglycemia in Non-diabetics Predicts Mortality and Disease Severity in COVID-19: a Pooled Analysis and Meta-summary of Literature |
title_full | Admission Hyperglycemia in Non-diabetics Predicts Mortality and Disease Severity in COVID-19: a Pooled Analysis and Meta-summary of Literature |
title_fullStr | Admission Hyperglycemia in Non-diabetics Predicts Mortality and Disease Severity in COVID-19: a Pooled Analysis and Meta-summary of Literature |
title_full_unstemmed | Admission Hyperglycemia in Non-diabetics Predicts Mortality and Disease Severity in COVID-19: a Pooled Analysis and Meta-summary of Literature |
title_short | Admission Hyperglycemia in Non-diabetics Predicts Mortality and Disease Severity in COVID-19: a Pooled Analysis and Meta-summary of Literature |
title_sort | admission hyperglycemia in non-diabetics predicts mortality and disease severity in covid-19: a pooled analysis and meta-summary of literature |
topic | Covid-19 |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7550017/ https://www.ncbi.nlm.nih.gov/pubmed/33073173 http://dx.doi.org/10.1007/s42399-020-00575-8 |
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