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Prevalence and impact of diabetes and cardiovascular disease on clinical outcome among patients with COVID-19 in Bangladesh
BACKGROUND: Patients with coronavirus disease-2019 (COVID-19) with preexisting diabetes and cardiovascular metabolic diseases have higher fatality rate. The circulation of new variants with emerging clinical characteristics requires more studies focusing the impact of preexisting health conditions o...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Diabetes India. Published by Elsevier Ltd.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8106201/ https://www.ncbi.nlm.nih.gov/pubmed/33993046 http://dx.doi.org/10.1016/j.dsx.2021.05.005 |
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author | Sharif, Nadim Ahmed, Shamsun Nahar Opu, Rubayet Rayhan Tani, Mahmuda Rahman Dewan, Dolly Daullah, Muktasid Ud Shanto, Rakibul Islam Parvez, Anowar Khasru Talukder, Ali Azam Dey, Shuvra Kanti |
author_facet | Sharif, Nadim Ahmed, Shamsun Nahar Opu, Rubayet Rayhan Tani, Mahmuda Rahman Dewan, Dolly Daullah, Muktasid Ud Shanto, Rakibul Islam Parvez, Anowar Khasru Talukder, Ali Azam Dey, Shuvra Kanti |
author_sort | Sharif, Nadim |
collection | PubMed |
description | BACKGROUND: Patients with coronavirus disease-2019 (COVID-19) with preexisting diabetes and cardiovascular metabolic diseases have higher fatality rate. The circulation of new variants with emerging clinical characteristics requires more studies focusing the impact of preexisting health conditions on outcome of COVID-19 accurately. AIMS: Main aim of this study was to investigate the impact of diabetes and cardiovascular disease (CVD) on disease prognosis and severe health outcomes among patients with COVID-19. METHODS: A retrospective study was performed on 799 patients with COVID-19 during December 10, 2020, to February 10, 2020 in Bangladesh. Logistic regression analysis was performed for age, sex, diabetes, CVD and symptoms on fatality. Kaplan-Meier survival analysis was conducted to predict the survival rate. RESULTS: Fatality was detected in 40% (318 of 799) patients with COVID-19. Among 318 fatalities, 90.6% were detected in patients with CVD and 74.5% in patients with diabetes. Case fatality rate was highest in patients with COVID-19, CVD and diabetes (94, 184 of 195). Fever (91%) and dry cough (71%) were the most frequent symptoms. CVD (42.2%), diabetes (32.7%) and obesity (18%) were prevalent. The highest odds of risk was detected in patients with COVID-19, CVD and diabetes (OR: 6.98, 95% CI, 4.21 to 7.34). Female patients had the highest survival rate. CONCLUSIONS: In this study, 318 fatality was seen in 799 patients with COVID-19. The highest odds of fatality risk was detected in patients with COVID-19, CVD and diabetes. The risk increased many folds when CVD and diabetes coexisted in patients. |
format | Online Article Text |
id | pubmed-8106201 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Diabetes India. Published by Elsevier Ltd. |
record_format | MEDLINE/PubMed |
spelling | pubmed-81062012021-05-10 Prevalence and impact of diabetes and cardiovascular disease on clinical outcome among patients with COVID-19 in Bangladesh Sharif, Nadim Ahmed, Shamsun Nahar Opu, Rubayet Rayhan Tani, Mahmuda Rahman Dewan, Dolly Daullah, Muktasid Ud Shanto, Rakibul Islam Parvez, Anowar Khasru Talukder, Ali Azam Dey, Shuvra Kanti Diabetes Metab Syndr Original Article BACKGROUND: Patients with coronavirus disease-2019 (COVID-19) with preexisting diabetes and cardiovascular metabolic diseases have higher fatality rate. The circulation of new variants with emerging clinical characteristics requires more studies focusing the impact of preexisting health conditions on outcome of COVID-19 accurately. AIMS: Main aim of this study was to investigate the impact of diabetes and cardiovascular disease (CVD) on disease prognosis and severe health outcomes among patients with COVID-19. METHODS: A retrospective study was performed on 799 patients with COVID-19 during December 10, 2020, to February 10, 2020 in Bangladesh. Logistic regression analysis was performed for age, sex, diabetes, CVD and symptoms on fatality. Kaplan-Meier survival analysis was conducted to predict the survival rate. RESULTS: Fatality was detected in 40% (318 of 799) patients with COVID-19. Among 318 fatalities, 90.6% were detected in patients with CVD and 74.5% in patients with diabetes. Case fatality rate was highest in patients with COVID-19, CVD and diabetes (94, 184 of 195). Fever (91%) and dry cough (71%) were the most frequent symptoms. CVD (42.2%), diabetes (32.7%) and obesity (18%) were prevalent. The highest odds of risk was detected in patients with COVID-19, CVD and diabetes (OR: 6.98, 95% CI, 4.21 to 7.34). Female patients had the highest survival rate. CONCLUSIONS: In this study, 318 fatality was seen in 799 patients with COVID-19. The highest odds of fatality risk was detected in patients with COVID-19, CVD and diabetes. The risk increased many folds when CVD and diabetes coexisted in patients. Diabetes India. Published by Elsevier Ltd. 2021 2021-05-08 /pmc/articles/PMC8106201/ /pubmed/33993046 http://dx.doi.org/10.1016/j.dsx.2021.05.005 Text en © 2021 Diabetes India. Published by Elsevier Ltd. 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 | Original Article Sharif, Nadim Ahmed, Shamsun Nahar Opu, Rubayet Rayhan Tani, Mahmuda Rahman Dewan, Dolly Daullah, Muktasid Ud Shanto, Rakibul Islam Parvez, Anowar Khasru Talukder, Ali Azam Dey, Shuvra Kanti Prevalence and impact of diabetes and cardiovascular disease on clinical outcome among patients with COVID-19 in Bangladesh |
title | Prevalence and impact of diabetes and cardiovascular disease on clinical outcome among patients with COVID-19 in Bangladesh |
title_full | Prevalence and impact of diabetes and cardiovascular disease on clinical outcome among patients with COVID-19 in Bangladesh |
title_fullStr | Prevalence and impact of diabetes and cardiovascular disease on clinical outcome among patients with COVID-19 in Bangladesh |
title_full_unstemmed | Prevalence and impact of diabetes and cardiovascular disease on clinical outcome among patients with COVID-19 in Bangladesh |
title_short | Prevalence and impact of diabetes and cardiovascular disease on clinical outcome among patients with COVID-19 in Bangladesh |
title_sort | prevalence and impact of diabetes and cardiovascular disease on clinical outcome among patients with covid-19 in bangladesh |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8106201/ https://www.ncbi.nlm.nih.gov/pubmed/33993046 http://dx.doi.org/10.1016/j.dsx.2021.05.005 |
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