Surviving Ebola: A historical cohort study of Ebola mortality and survival in Sierra Leone 2014-2015

BACKGROUND:While a number of predictors for Ebola mortality have been identified, less is known about post-viral symptoms. The identification of acute-illness predictors for post-viral symptoms could allow the selection of patients for more active follow up in the future, and those in whom early int...

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Main Authors: Wing, K, Oza, S, Houlihan, C, Glynn, JR, Irvine, S, Warrell, CE, Simpson, AJH, Boufkhed, S, Sesay, A, Vandi, L, Sebba, SC, Shetty, P, Cummings, R, Checchi, F, McGowan, CR
Format: Journal article
Language:English
Published: Public Library of Science 2018
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author Wing, K
Oza, S
Houlihan, C
Glynn, JR
Irvine, S
Warrell, CE
Simpson, AJH
Boufkhed, S
Sesay, A
Vandi, L
Sebba, SC
Shetty, P
Cummings, R
Checchi, F
McGowan, CR
author_facet Wing, K
Oza, S
Houlihan, C
Glynn, JR
Irvine, S
Warrell, CE
Simpson, AJH
Boufkhed, S
Sesay, A
Vandi, L
Sebba, SC
Shetty, P
Cummings, R
Checchi, F
McGowan, CR
author_sort Wing, K
collection OXFORD
description BACKGROUND:While a number of predictors for Ebola mortality have been identified, less is known about post-viral symptoms. The identification of acute-illness predictors for post-viral symptoms could allow the selection of patients for more active follow up in the future, and those in whom early interventions may be beneficial in the long term. Studying predictors of both mortality and post-viral symptoms within a single cohort of patients could also further our understanding of the pathophysiology of survivor sequelae. METHODS/PRINCIPAL FINDINGS:We performed a historical cohort study using data collected as part of routine clinical care from an Ebola Treatment Centre (ETC) in Kerry Town, Sierra Leone, in order to identify predictors of mortality and of post-viral symptoms. Variables included as potential predictors were sex, age, date of admission, first recorded viral load at the ETC and symptoms (recorded upon presentation at the ETC). Multivariable logistic regression was used to identify predictors. Of 263 Ebola-confirmed patients admitted between November 2014 and March 2015, 151 (57%) survived to ETC discharge. Viral load was the strongest predictor of mortality (adjusted OR comparing high with low viral load: 84.97, 95% CI 30.87-345.94). We did not find evidence that a high viral load predicted post-viral symptoms (ocular: 1.17, 95% CI 0.35-3.97; musculoskeletal: 1.07, 95% CI 0.28-4.08). Ocular post-viral symptoms were more common in females (2.31, 95% CI 0.98-5.43) and in those who had experienced hiccups during the acute phase (4.73, 95% CI 0.90-24.73). CONCLUSIONS/SIGNIFICANCE:These findings may add epidemiological support to the hypothesis that post-viral symptoms have an immune-mediated aspect and may not only be a consequence of high viral load and disease severity.
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spelling oxford-uuid:ca61746d-fd88-412a-8133-7d503d14aa962022-03-27T07:07:02ZSurviving Ebola: A historical cohort study of Ebola mortality and survival in Sierra Leone 2014-2015Journal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:ca61746d-fd88-412a-8133-7d503d14aa96EnglishSymplectic Elements at OxfordPublic Library of Science2018Wing, KOza, SHoulihan, CGlynn, JRIrvine, SWarrell, CESimpson, AJHBoufkhed, SSesay, AVandi, LSebba, SCShetty, PCummings, RChecchi, FMcGowan, CRBACKGROUND:While a number of predictors for Ebola mortality have been identified, less is known about post-viral symptoms. The identification of acute-illness predictors for post-viral symptoms could allow the selection of patients for more active follow up in the future, and those in whom early interventions may be beneficial in the long term. Studying predictors of both mortality and post-viral symptoms within a single cohort of patients could also further our understanding of the pathophysiology of survivor sequelae. METHODS/PRINCIPAL FINDINGS:We performed a historical cohort study using data collected as part of routine clinical care from an Ebola Treatment Centre (ETC) in Kerry Town, Sierra Leone, in order to identify predictors of mortality and of post-viral symptoms. Variables included as potential predictors were sex, age, date of admission, first recorded viral load at the ETC and symptoms (recorded upon presentation at the ETC). Multivariable logistic regression was used to identify predictors. Of 263 Ebola-confirmed patients admitted between November 2014 and March 2015, 151 (57%) survived to ETC discharge. Viral load was the strongest predictor of mortality (adjusted OR comparing high with low viral load: 84.97, 95% CI 30.87-345.94). We did not find evidence that a high viral load predicted post-viral symptoms (ocular: 1.17, 95% CI 0.35-3.97; musculoskeletal: 1.07, 95% CI 0.28-4.08). Ocular post-viral symptoms were more common in females (2.31, 95% CI 0.98-5.43) and in those who had experienced hiccups during the acute phase (4.73, 95% CI 0.90-24.73). CONCLUSIONS/SIGNIFICANCE:These findings may add epidemiological support to the hypothesis that post-viral symptoms have an immune-mediated aspect and may not only be a consequence of high viral load and disease severity.
spellingShingle Wing, K
Oza, S
Houlihan, C
Glynn, JR
Irvine, S
Warrell, CE
Simpson, AJH
Boufkhed, S
Sesay, A
Vandi, L
Sebba, SC
Shetty, P
Cummings, R
Checchi, F
McGowan, CR
Surviving Ebola: A historical cohort study of Ebola mortality and survival in Sierra Leone 2014-2015
title Surviving Ebola: A historical cohort study of Ebola mortality and survival in Sierra Leone 2014-2015
title_full Surviving Ebola: A historical cohort study of Ebola mortality and survival in Sierra Leone 2014-2015
title_fullStr Surviving Ebola: A historical cohort study of Ebola mortality and survival in Sierra Leone 2014-2015
title_full_unstemmed Surviving Ebola: A historical cohort study of Ebola mortality and survival in Sierra Leone 2014-2015
title_short Surviving Ebola: A historical cohort study of Ebola mortality and survival in Sierra Leone 2014-2015
title_sort surviving ebola a historical cohort study of ebola mortality and survival in sierra leone 2014 2015
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