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Characteristics and severity of COVID-19 among Sudanese patients during the waves of the pandemic
COVID-19 is associated with marked morbidity and mortality. COVID-19 symptoms ranged from mild symptoms to severe pneumonia requiring admission to intensive care unit. Imperial College reported that, this second wave in Khartoum is expected to be similar to the first wave. The aim of our study was t...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Authors. Published by Elsevier B.V. on behalf of African Institute of Mathematical Sciences / Next Einstein Initiative.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8553365/ https://www.ncbi.nlm.nih.gov/pubmed/34729446 http://dx.doi.org/10.1016/j.sciaf.2021.e01033 |
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author | Abd El-Raheem, Ghada Omer Hamad Mohamed, Doaa Salih Ibrahim Yousif, Maysoun Ahmed Awad Elamin, Hind Eltayeb Salih |
author_facet | Abd El-Raheem, Ghada Omer Hamad Mohamed, Doaa Salih Ibrahim Yousif, Maysoun Ahmed Awad Elamin, Hind Eltayeb Salih |
author_sort | Abd El-Raheem, Ghada Omer Hamad |
collection | PubMed |
description | COVID-19 is associated with marked morbidity and mortality. COVID-19 symptoms ranged from mild symptoms to severe pneumonia requiring admission to intensive care unit. Imperial College reported that, this second wave in Khartoum is expected to be similar to the first wave. The aim of our study was to study the characteristics and severity of COVID-19 among Sudanese patients during the waves of the pandemic. A hospital-based analytical Cross-Sectional study assessed the characteristics of COVID-19 patients who attended Imperial Hospital since November 2020, Khartoum, Sudan. Data were collected, retrospectively, from the medical records of COVID-19 patients. The characteristics of the patients were recorded. The statistical package for social sciences (SPSS-23) was used to describe and analyze the data. Descriptive statistics and chi-square test were used; tests were considered statistically significant when p < 0.05. Of the 138 participants, 75.4% were aged above 60 years. Males were 61.6%. Severe cases were 37.7%, with higher rate in the third wave (p = 0.000). Duration of hospitalization was ≤ 5 days in 60.9% of the cases, majority were from the 2nd wave (p = 0.001). Comorbidities of COVID-19 patients were more among non-severe cases (p = 0.001). COVID-19 symptoms were more prevalent in non-severe cases. Complications were more in severe cases (p = 0.000). Odds ratio of having ischemic stroke was 6.833 [95%CI: 2.092–22.321] based on COVID-19 severity. The elderly population were the majority. More males were getting admitted. Atypical symptoms were reported beside the common symptoms. Wider multi-center studies are recommended in order to complete the big picture of COVID-19 in Sudan. |
format | Online Article Text |
id | pubmed-8553365 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | The Authors. Published by Elsevier B.V. on behalf of African Institute of Mathematical Sciences / Next Einstein Initiative. |
record_format | MEDLINE/PubMed |
spelling | pubmed-85533652021-10-29 Characteristics and severity of COVID-19 among Sudanese patients during the waves of the pandemic Abd El-Raheem, Ghada Omer Hamad Mohamed, Doaa Salih Ibrahim Yousif, Maysoun Ahmed Awad Elamin, Hind Eltayeb Salih Sci Afr Article COVID-19 is associated with marked morbidity and mortality. COVID-19 symptoms ranged from mild symptoms to severe pneumonia requiring admission to intensive care unit. Imperial College reported that, this second wave in Khartoum is expected to be similar to the first wave. The aim of our study was to study the characteristics and severity of COVID-19 among Sudanese patients during the waves of the pandemic. A hospital-based analytical Cross-Sectional study assessed the characteristics of COVID-19 patients who attended Imperial Hospital since November 2020, Khartoum, Sudan. Data were collected, retrospectively, from the medical records of COVID-19 patients. The characteristics of the patients were recorded. The statistical package for social sciences (SPSS-23) was used to describe and analyze the data. Descriptive statistics and chi-square test were used; tests were considered statistically significant when p < 0.05. Of the 138 participants, 75.4% were aged above 60 years. Males were 61.6%. Severe cases were 37.7%, with higher rate in the third wave (p = 0.000). Duration of hospitalization was ≤ 5 days in 60.9% of the cases, majority were from the 2nd wave (p = 0.001). Comorbidities of COVID-19 patients were more among non-severe cases (p = 0.001). COVID-19 symptoms were more prevalent in non-severe cases. Complications were more in severe cases (p = 0.000). Odds ratio of having ischemic stroke was 6.833 [95%CI: 2.092–22.321] based on COVID-19 severity. The elderly population were the majority. More males were getting admitted. Atypical symptoms were reported beside the common symptoms. Wider multi-center studies are recommended in order to complete the big picture of COVID-19 in Sudan. The Authors. Published by Elsevier B.V. on behalf of African Institute of Mathematical Sciences / Next Einstein Initiative. 2021-11 2021-10-28 /pmc/articles/PMC8553365/ /pubmed/34729446 http://dx.doi.org/10.1016/j.sciaf.2021.e01033 Text en © 2021 The Authors. Published by Elsevier B.V. on behalf of African Institute of Mathematical Sciences / Next Einstein Initiative. 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 Abd El-Raheem, Ghada Omer Hamad Mohamed, Doaa Salih Ibrahim Yousif, Maysoun Ahmed Awad Elamin, Hind Eltayeb Salih Characteristics and severity of COVID-19 among Sudanese patients during the waves of the pandemic |
title | Characteristics and severity of COVID-19 among Sudanese patients during the waves of the pandemic |
title_full | Characteristics and severity of COVID-19 among Sudanese patients during the waves of the pandemic |
title_fullStr | Characteristics and severity of COVID-19 among Sudanese patients during the waves of the pandemic |
title_full_unstemmed | Characteristics and severity of COVID-19 among Sudanese patients during the waves of the pandemic |
title_short | Characteristics and severity of COVID-19 among Sudanese patients during the waves of the pandemic |
title_sort | characteristics and severity of covid-19 among sudanese patients during the waves of the pandemic |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8553365/ https://www.ncbi.nlm.nih.gov/pubmed/34729446 http://dx.doi.org/10.1016/j.sciaf.2021.e01033 |
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