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A novel indicator predicts 2019 novel coronavirus infection in subjects with diabetes
AIMS: Diabetes mellitus (DM) is associated with significant morbidity and mortality. The disease severity in 2019 novel coronavirus (Covid 19) infection has varied from mild self-limiting flu-like illness to fulminant pneumonia, respiratory failure and death. Since DM and Covid 19 infection are clos...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier B.V.
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7332455/ https://www.ncbi.nlm.nih.gov/pubmed/32623037 http://dx.doi.org/10.1016/j.diabres.2020.108294 |
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author | Ozder, Aclan |
author_facet | Ozder, Aclan |
author_sort | Ozder, Aclan |
collection | PubMed |
description | AIMS: Diabetes mellitus (DM) is associated with significant morbidity and mortality. The disease severity in 2019 novel coronavirus (Covid 19) infection has varied from mild self-limiting flu-like illness to fulminant pneumonia, respiratory failure and death. Since DM and Covid 19 infection are closely associated with inflammatory status, mean platelet volume (MPV) was suggested to be useful in predicting Covid infection onset. This study aimed to evaluate the diagnostic role of MPV in Covid patients with diabetes. METHODS: A total of 640 subjects (160 Covid patients with type 2 diabetes, 160 healthy controls, 160 patients with non-spesific infections and 160 Covid patients without type 2 diabetes) enrolled in the study. RESULTS: MPV was significantly higher (11.21 ± 0.61 fL) as compared to the results from the last routine visits of the the same individuals with diabetes (10.59 ± 0.96 fL) (p = 0.000). CONCLUSIONS: MPV could be used as a simple and cost-effective tool to predict the Covid infection in subjects with diabetes in primary care. |
format | Online Article Text |
id | pubmed-7332455 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Elsevier B.V. |
record_format | MEDLINE/PubMed |
spelling | pubmed-73324552020-07-06 A novel indicator predicts 2019 novel coronavirus infection in subjects with diabetes Ozder, Aclan Diabetes Res Clin Pract Article AIMS: Diabetes mellitus (DM) is associated with significant morbidity and mortality. The disease severity in 2019 novel coronavirus (Covid 19) infection has varied from mild self-limiting flu-like illness to fulminant pneumonia, respiratory failure and death. Since DM and Covid 19 infection are closely associated with inflammatory status, mean platelet volume (MPV) was suggested to be useful in predicting Covid infection onset. This study aimed to evaluate the diagnostic role of MPV in Covid patients with diabetes. METHODS: A total of 640 subjects (160 Covid patients with type 2 diabetes, 160 healthy controls, 160 patients with non-spesific infections and 160 Covid patients without type 2 diabetes) enrolled in the study. RESULTS: MPV was significantly higher (11.21 ± 0.61 fL) as compared to the results from the last routine visits of the the same individuals with diabetes (10.59 ± 0.96 fL) (p = 0.000). CONCLUSIONS: MPV could be used as a simple and cost-effective tool to predict the Covid infection in subjects with diabetes in primary care. Elsevier B.V. 2020-08 2020-07-03 /pmc/articles/PMC7332455/ /pubmed/32623037 http://dx.doi.org/10.1016/j.diabres.2020.108294 Text en © 2020 Elsevier B.V. All rights reserved. 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 Ozder, Aclan A novel indicator predicts 2019 novel coronavirus infection in subjects with diabetes |
title | A novel indicator predicts 2019 novel coronavirus infection in subjects with diabetes |
title_full | A novel indicator predicts 2019 novel coronavirus infection in subjects with diabetes |
title_fullStr | A novel indicator predicts 2019 novel coronavirus infection in subjects with diabetes |
title_full_unstemmed | A novel indicator predicts 2019 novel coronavirus infection in subjects with diabetes |
title_short | A novel indicator predicts 2019 novel coronavirus infection in subjects with diabetes |
title_sort | novel indicator predicts 2019 novel coronavirus infection in subjects with diabetes |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7332455/ https://www.ncbi.nlm.nih.gov/pubmed/32623037 http://dx.doi.org/10.1016/j.diabres.2020.108294 |
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