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Epidemiological and clinical features of 2019 novel coronavirus diseases (COVID-19) in the South of Iran
BACKGROUND: In March 2020, the WHO declared the novel coronavirus (COVID-19) outbreak a global pandemic. Although the number of infected cases is increasing, information about its clinical characteristics in the Middle East, especially in Iran, a country which is considered to be one of the most imp...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7301075/ https://www.ncbi.nlm.nih.gov/pubmed/32552751 http://dx.doi.org/10.1186/s12879-020-05128-x |
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author | Shahriarirad, Reza Khodamoradi, Zohre Erfani, Amirhossein Hosseinpour, Hamidreza Ranjbar, Keivan Emami, Yasaman Mirahmadizadeh, Alireza Lotfi, Mehrzad Shirazi Yeganeh, Babak Dorrani Nejad, Abolfazl Hemmati, Abdolrasool Ebrahimi, Mostafa Moghadami, Mohsen |
author_facet | Shahriarirad, Reza Khodamoradi, Zohre Erfani, Amirhossein Hosseinpour, Hamidreza Ranjbar, Keivan Emami, Yasaman Mirahmadizadeh, Alireza Lotfi, Mehrzad Shirazi Yeganeh, Babak Dorrani Nejad, Abolfazl Hemmati, Abdolrasool Ebrahimi, Mostafa Moghadami, Mohsen |
author_sort | Shahriarirad, Reza |
collection | PubMed |
description | BACKGROUND: In March 2020, the WHO declared the novel coronavirus (COVID-19) outbreak a global pandemic. Although the number of infected cases is increasing, information about its clinical characteristics in the Middle East, especially in Iran, a country which is considered to be one of the most important focal points of the disease in the world, is lacking. To date, there is no available literature on the clinical data on COVID-19 patients in Iran. METHODS: In this multicenter retrospective study, 113 hospitalized confirmed cases of COVID-19 admitted to university affiliated hospitals in Shiraz, Iran from February 20 to March 20 were entered in the study. RESULTS: The mean age was 53.75 years and 71 (62.8%) were males. The most common symptoms at onset were fatigue (75: 66.4%), cough (73: 64.6%), and fever (67: 59.3%). Laboratory data revealed significant correlation between lymphocyte count (P value = 0.003), partial thromboplastin time (P value = 0.000), international normalized ratio (P value = 0.000) with the severity of the disease. The most common abnormality in chest CT scans was ground-glass opacity (77: 93.9%), followed by consolidation (48: 58.5%). Our results revealed an overall 8% (9 out of 113 cases) mortality rate among patients, in which the majority was among patients admitted to the ICU (5: 55.6%). CONCLUSION: Evaluating the clinical data of COVID-19 patients and finding the source of infection and studying the behavior of the disease is crucial for understanding the pandemic. |
format | Online Article Text |
id | pubmed-7301075 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-73010752020-06-18 Epidemiological and clinical features of 2019 novel coronavirus diseases (COVID-19) in the South of Iran Shahriarirad, Reza Khodamoradi, Zohre Erfani, Amirhossein Hosseinpour, Hamidreza Ranjbar, Keivan Emami, Yasaman Mirahmadizadeh, Alireza Lotfi, Mehrzad Shirazi Yeganeh, Babak Dorrani Nejad, Abolfazl Hemmati, Abdolrasool Ebrahimi, Mostafa Moghadami, Mohsen BMC Infect Dis Research Article BACKGROUND: In March 2020, the WHO declared the novel coronavirus (COVID-19) outbreak a global pandemic. Although the number of infected cases is increasing, information about its clinical characteristics in the Middle East, especially in Iran, a country which is considered to be one of the most important focal points of the disease in the world, is lacking. To date, there is no available literature on the clinical data on COVID-19 patients in Iran. METHODS: In this multicenter retrospective study, 113 hospitalized confirmed cases of COVID-19 admitted to university affiliated hospitals in Shiraz, Iran from February 20 to March 20 were entered in the study. RESULTS: The mean age was 53.75 years and 71 (62.8%) were males. The most common symptoms at onset were fatigue (75: 66.4%), cough (73: 64.6%), and fever (67: 59.3%). Laboratory data revealed significant correlation between lymphocyte count (P value = 0.003), partial thromboplastin time (P value = 0.000), international normalized ratio (P value = 0.000) with the severity of the disease. The most common abnormality in chest CT scans was ground-glass opacity (77: 93.9%), followed by consolidation (48: 58.5%). Our results revealed an overall 8% (9 out of 113 cases) mortality rate among patients, in which the majority was among patients admitted to the ICU (5: 55.6%). CONCLUSION: Evaluating the clinical data of COVID-19 patients and finding the source of infection and studying the behavior of the disease is crucial for understanding the pandemic. BioMed Central 2020-06-18 /pmc/articles/PMC7301075/ /pubmed/32552751 http://dx.doi.org/10.1186/s12879-020-05128-x Text en © The Author(s) 2020 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/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Article Shahriarirad, Reza Khodamoradi, Zohre Erfani, Amirhossein Hosseinpour, Hamidreza Ranjbar, Keivan Emami, Yasaman Mirahmadizadeh, Alireza Lotfi, Mehrzad Shirazi Yeganeh, Babak Dorrani Nejad, Abolfazl Hemmati, Abdolrasool Ebrahimi, Mostafa Moghadami, Mohsen Epidemiological and clinical features of 2019 novel coronavirus diseases (COVID-19) in the South of Iran |
title | Epidemiological and clinical features of 2019 novel coronavirus diseases (COVID-19) in the South of Iran |
title_full | Epidemiological and clinical features of 2019 novel coronavirus diseases (COVID-19) in the South of Iran |
title_fullStr | Epidemiological and clinical features of 2019 novel coronavirus diseases (COVID-19) in the South of Iran |
title_full_unstemmed | Epidemiological and clinical features of 2019 novel coronavirus diseases (COVID-19) in the South of Iran |
title_short | Epidemiological and clinical features of 2019 novel coronavirus diseases (COVID-19) in the South of Iran |
title_sort | epidemiological and clinical features of 2019 novel coronavirus diseases (covid-19) in the south of iran |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7301075/ https://www.ncbi.nlm.nih.gov/pubmed/32552751 http://dx.doi.org/10.1186/s12879-020-05128-x |
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