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Epidemiology and predictors of survival of MERS-CoV infections in Riyadh region, 2014–2015
BACKGROUND: MERS-CoV emerged as a zoonotic disease in Saudi Arabia with 1437 cases as of July 2016. This study aimed at describing the epidemiology of MERS-CoV infection, clinical aspects of the disease and the determinants of survival. METHODS: The medical records of Prince Mohamed Bin Abdulaziz Ho...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7102824/ https://www.ncbi.nlm.nih.gov/pubmed/30340964 http://dx.doi.org/10.1016/j.jiph.2018.09.008 |
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author | Al-Jasser, Fahad S. Nouh, Randa M. Youssef, Randa M. |
author_facet | Al-Jasser, Fahad S. Nouh, Randa M. Youssef, Randa M. |
author_sort | Al-Jasser, Fahad S. |
collection | PubMed |
description | BACKGROUND: MERS-CoV emerged as a zoonotic disease in Saudi Arabia with 1437 cases as of July 2016. This study aimed at describing the epidemiology of MERS-CoV infection, clinical aspects of the disease and the determinants of survival. METHODS: The medical records of Prince Mohamed Bin Abdulaziz Hospital were reviewed between April 2014 and December 2015 to identify admission and discharge with MERS-CoV. Patient’s characteristics, epidemiologic and clinical data and laboratory results were extracted and described. Logistic regression analyses were used to model the determinants of the survival of these patients. Significance of the results were judged at the 5% level. RESULTS: 249 confirmed cases were admitted mostly in August (20.48%) and September (14.86%) of the year 2015. A third (39.36%) reported contact with an index case, developed the disease after 6.2 days and continued to shed the virus for 13.17 days on average. The case fatality rate was 20.08%. Independent predictors of being discharged alive among confirmed cases were younger age (OR(A) = 0.953), breathing ambient air (OR(A) = 8.981), not being transferred to the ICU (OR(A) = 24.240) and not receiving renal replacement therapy (OR(A) = 8.342). These variables explain 63.9% of the variability of patients’ status at discharge. CONCLUSION: MERS-CoV spread from human-to-human as community acquired and nosocomial infection. The study identified high risk patients in need for special medical attention in order to improve patients’ outcome. |
format | Online Article Text |
id | pubmed-7102824 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-71028242020-03-31 Epidemiology and predictors of survival of MERS-CoV infections in Riyadh region, 2014–2015 Al-Jasser, Fahad S. Nouh, Randa M. Youssef, Randa M. J Infect Public Health Article BACKGROUND: MERS-CoV emerged as a zoonotic disease in Saudi Arabia with 1437 cases as of July 2016. This study aimed at describing the epidemiology of MERS-CoV infection, clinical aspects of the disease and the determinants of survival. METHODS: The medical records of Prince Mohamed Bin Abdulaziz Hospital were reviewed between April 2014 and December 2015 to identify admission and discharge with MERS-CoV. Patient’s characteristics, epidemiologic and clinical data and laboratory results were extracted and described. Logistic regression analyses were used to model the determinants of the survival of these patients. Significance of the results were judged at the 5% level. RESULTS: 249 confirmed cases were admitted mostly in August (20.48%) and September (14.86%) of the year 2015. A third (39.36%) reported contact with an index case, developed the disease after 6.2 days and continued to shed the virus for 13.17 days on average. The case fatality rate was 20.08%. Independent predictors of being discharged alive among confirmed cases were younger age (OR(A) = 0.953), breathing ambient air (OR(A) = 8.981), not being transferred to the ICU (OR(A) = 24.240) and not receiving renal replacement therapy (OR(A) = 8.342). These variables explain 63.9% of the variability of patients’ status at discharge. CONCLUSION: MERS-CoV spread from human-to-human as community acquired and nosocomial infection. The study identified high risk patients in need for special medical attention in order to improve patients’ outcome. Elsevier 2019 2018-10-16 /pmc/articles/PMC7102824/ /pubmed/30340964 http://dx.doi.org/10.1016/j.jiph.2018.09.008 Text en © 2018 The Authors 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 Al-Jasser, Fahad S. Nouh, Randa M. Youssef, Randa M. Epidemiology and predictors of survival of MERS-CoV infections in Riyadh region, 2014–2015 |
title | Epidemiology and predictors of survival of MERS-CoV infections in Riyadh region, 2014–2015 |
title_full | Epidemiology and predictors of survival of MERS-CoV infections in Riyadh region, 2014–2015 |
title_fullStr | Epidemiology and predictors of survival of MERS-CoV infections in Riyadh region, 2014–2015 |
title_full_unstemmed | Epidemiology and predictors of survival of MERS-CoV infections in Riyadh region, 2014–2015 |
title_short | Epidemiology and predictors of survival of MERS-CoV infections in Riyadh region, 2014–2015 |
title_sort | epidemiology and predictors of survival of mers-cov infections in riyadh region, 2014–2015 |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7102824/ https://www.ncbi.nlm.nih.gov/pubmed/30340964 http://dx.doi.org/10.1016/j.jiph.2018.09.008 |
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