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...

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Main Authors: Fahad S. Al-Jasser, Randa M. Nouh, Randa M. Youssef
Format: Article
Language:English
Published: Elsevier 2019-03-01
Series:Journal of Infection and Public Health
Online Access:http://www.sciencedirect.com/science/article/pii/S1876034118301485
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spelling doaj-d003e9c66f944173945ab95df8e1d1202020-11-24T21:16:17ZengElsevierJournal of Infection and Public Health1876-03412019-03-01122171177Epidemiology and predictors of survival of MERS-CoV infections in Riyadh region, 2014–2015Fahad S. Al-Jasser0Randa M. Nouh1Randa M. Youssef2Prevention and Control of Infection Administration, King Saud Medical City, Ministry of Health, Riyadh, Saudi Arabia; Department of Family & Community Medicine, College of Medicine and King Khaled Hospital, King Saud University, Riyadh, Saudi Arabia; Corresponding author at: PO Box 105992, Riyadh 11656, Saudi Arabia.Field Epidemiology Training Program (FETP), Department of Public Health, Ministry of Health, Riyadh, Saudi ArabiaDepartment of Family & Community Medicine, College of Medicine and King Khaled Hospital, King Saud University, Riyadh, Saudi Arabia; Prince Sattam Chair for Epidemiology and Public Health Research, Department of Family and Community Medicine, College of Medicine, King Saud University, Riyadh, Saudi ArabiaBackground: 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 (ORA = 0.953), breathing ambient air (ORA = 8.981), not being transferred to the ICU (ORA = 24.240) and not receiving renal replacement therapy (ORA = 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. Keywords: MERS-CoV, Epidemiology, Determinants of survival, Saudi Arabiahttp://www.sciencedirect.com/science/article/pii/S1876034118301485
collection DOAJ
language English
format Article
sources DOAJ
author Fahad S. Al-Jasser
Randa M. Nouh
Randa M. Youssef
spellingShingle Fahad S. Al-Jasser
Randa M. Nouh
Randa M. Youssef
Epidemiology and predictors of survival of MERS-CoV infections in Riyadh region, 2014–2015
Journal of Infection and Public Health
author_facet Fahad S. Al-Jasser
Randa M. Nouh
Randa M. Youssef
author_sort Fahad S. Al-Jasser
title 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_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_sort epidemiology and predictors of survival of mers-cov infections in riyadh region, 2014–2015
publisher Elsevier
series Journal of Infection and Public Health
issn 1876-0341
publishDate 2019-03-01
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 (ORA = 0.953), breathing ambient air (ORA = 8.981), not being transferred to the ICU (ORA = 24.240) and not receiving renal replacement therapy (ORA = 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. Keywords: MERS-CoV, Epidemiology, Determinants of survival, Saudi Arabia
url http://www.sciencedirect.com/science/article/pii/S1876034118301485
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