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Initial presenting symptoms, comorbidities and severity of COVID-19 patients during the second wave of epidemic in Myanmar

BACKGROUND: Coronavirus disease 2019 (COVID-19) caused by a highly contagious virus called severe acute respiratory syndrome coronavirus 2 emerged in China at the end of 2019 and became a major threat to health around the world. The health experts are still learning more about the detailed knowledge...

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Autores principales: Htun, Ye Minn, Win, Tun Tun, Aung, Aung, Latt, Thant Zin, Phyo, Yan Naung, Tun, Thet Min, Htun, Nyan Sint, Tun, Kyaw Myo, Htun, Khin Aung
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8343344/
https://www.ncbi.nlm.nih.gov/pubmed/34362468
http://dx.doi.org/10.1186/s41182-021-00353-9
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author Htun, Ye Minn
Win, Tun Tun
Aung, Aung
Latt, Thant Zin
Phyo, Yan Naung
Tun, Thet Min
Htun, Nyan Sint
Tun, Kyaw Myo
Htun, Khin Aung
author_facet Htun, Ye Minn
Win, Tun Tun
Aung, Aung
Latt, Thant Zin
Phyo, Yan Naung
Tun, Thet Min
Htun, Nyan Sint
Tun, Kyaw Myo
Htun, Khin Aung
author_sort Htun, Ye Minn
collection PubMed
description BACKGROUND: Coronavirus disease 2019 (COVID-19) caused by a highly contagious virus called severe acute respiratory syndrome coronavirus 2 emerged in China at the end of 2019 and became a major threat to health around the world. The health experts are still learning more about the detailed knowledge of the natural course and the severity of COVID-19. The study aimed to assess the prevalence and association of severity of disease with demographic characteristics, initial presenting symptoms, and comorbidities among COVID-19 patients in treatment centers, Myanmar. METHODS: A cross-sectional study was conducted at Hmawbi and Indine treatment centers, Yangon Region, Myanmar, from November to December 2020. Data were collected by using standardized case report forms and then, a total of 222 confirmed COVID-19 inpatients were included in this study. The odds ratio with a 95% confidence interval (CI) was used as a measure of association and the independent associated factors for severity of disease were investigated using logistic regression analysis. RESULTS: In total, 81.5% were symptomatic patients and of these, the most common presenting symptoms were fever 54.1%, loss of smell 50.3%, and cough 30.9%. Among 37.8% of COVID-19 patients with comorbidities, the most common comorbidities were hypertension 58.3%, diabetes mellitus 29.8%, and heart diseases 26.2%, respectively. As a severity, 20.7% of patients had signs of severe pneumonia. The associated factors of severe pneumonia were aged 60 years and older [Adjusted odds ratio (AOR) = 2.88, 95% CI 1.14–7.29], overweight or obesity (AOR: 3.87, 95%CI 1.80–8.33), and current smoking (AOR: 6.74, 95% CI 2.72–16.75). CONCLUSIONS: In this study, one-fifth of the patients developed severe pneumonia. The COVID-19 patients who were aged 60 years and older, overweight or obesity, and current smokers should be monitored carefully during the course of treatment to reduce the disease severity.
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spelling pubmed-83433442021-08-06 Initial presenting symptoms, comorbidities and severity of COVID-19 patients during the second wave of epidemic in Myanmar Htun, Ye Minn Win, Tun Tun Aung, Aung Latt, Thant Zin Phyo, Yan Naung Tun, Thet Min Htun, Nyan Sint Tun, Kyaw Myo Htun, Khin Aung Trop Med Health Research BACKGROUND: Coronavirus disease 2019 (COVID-19) caused by a highly contagious virus called severe acute respiratory syndrome coronavirus 2 emerged in China at the end of 2019 and became a major threat to health around the world. The health experts are still learning more about the detailed knowledge of the natural course and the severity of COVID-19. The study aimed to assess the prevalence and association of severity of disease with demographic characteristics, initial presenting symptoms, and comorbidities among COVID-19 patients in treatment centers, Myanmar. METHODS: A cross-sectional study was conducted at Hmawbi and Indine treatment centers, Yangon Region, Myanmar, from November to December 2020. Data were collected by using standardized case report forms and then, a total of 222 confirmed COVID-19 inpatients were included in this study. The odds ratio with a 95% confidence interval (CI) was used as a measure of association and the independent associated factors for severity of disease were investigated using logistic regression analysis. RESULTS: In total, 81.5% were symptomatic patients and of these, the most common presenting symptoms were fever 54.1%, loss of smell 50.3%, and cough 30.9%. Among 37.8% of COVID-19 patients with comorbidities, the most common comorbidities were hypertension 58.3%, diabetes mellitus 29.8%, and heart diseases 26.2%, respectively. As a severity, 20.7% of patients had signs of severe pneumonia. The associated factors of severe pneumonia were aged 60 years and older [Adjusted odds ratio (AOR) = 2.88, 95% CI 1.14–7.29], overweight or obesity (AOR: 3.87, 95%CI 1.80–8.33), and current smoking (AOR: 6.74, 95% CI 2.72–16.75). CONCLUSIONS: In this study, one-fifth of the patients developed severe pneumonia. The COVID-19 patients who were aged 60 years and older, overweight or obesity, and current smokers should be monitored carefully during the course of treatment to reduce the disease severity. BioMed Central 2021-08-06 /pmc/articles/PMC8343344/ /pubmed/34362468 http://dx.doi.org/10.1186/s41182-021-00353-9 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Research
Htun, Ye Minn
Win, Tun Tun
Aung, Aung
Latt, Thant Zin
Phyo, Yan Naung
Tun, Thet Min
Htun, Nyan Sint
Tun, Kyaw Myo
Htun, Khin Aung
Initial presenting symptoms, comorbidities and severity of COVID-19 patients during the second wave of epidemic in Myanmar
title Initial presenting symptoms, comorbidities and severity of COVID-19 patients during the second wave of epidemic in Myanmar
title_full Initial presenting symptoms, comorbidities and severity of COVID-19 patients during the second wave of epidemic in Myanmar
title_fullStr Initial presenting symptoms, comorbidities and severity of COVID-19 patients during the second wave of epidemic in Myanmar
title_full_unstemmed Initial presenting symptoms, comorbidities and severity of COVID-19 patients during the second wave of epidemic in Myanmar
title_short Initial presenting symptoms, comorbidities and severity of COVID-19 patients during the second wave of epidemic in Myanmar
title_sort initial presenting symptoms, comorbidities and severity of covid-19 patients during the second wave of epidemic in myanmar
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8343344/
https://www.ncbi.nlm.nih.gov/pubmed/34362468
http://dx.doi.org/10.1186/s41182-021-00353-9
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