RESEARCH ARTICLE
Predicting Ebola Severity: A Clinical Prioritization Score for Ebola Virus Disease Mary-Anne Hartley1,2*, Alyssa Young1☯, Anh-Minh Tran1☯, Harry Henry Okoni-Williams1, Mohamed Suma1, Brooke Mancuso1, Ahmed Al-Dikhari1, Mohamed Faouzi3 1 GOAL Global, Dublin, Ireland, 2 University of Lausanne, Lausanne, Switzerland, 3 Institute of Social and Preventive Medicine, Lausanne, Switzerland ☯ These authors contributed equally to this work. * [email protected]
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OPEN ACCESS Citation: Hartley M-A, Young A, Tran A-M, OkoniWilliams HH, Suma M, Mancuso B, et al. (2017) Predicting Ebola Severity: A Clinical Prioritization Score for Ebola Virus Disease. PLoS Negl Trop Dis 11(2): e0005265. doi:10.1371/journal. pntd.0005265 Editor: Peter W. Horby, University of Oxford, UNITED KINGDOM Received: May 13, 2016 Accepted: December 15, 2016 Published: February 2, 2017 Copyright: © 2017 Hartley et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Data Availability Statement: All relevant data are within the paper and its Supporting Information files. Funding: This study was funded by the Department for International Development (DfID) (https://www. gov.uk/government/organisations/department-forinternational-development, Grant number: 04890) via the humanitarian aid organisation, GOAL Global (https://www.goalglobal.org/). The funders had no role in study design, data collection and analysis,
Abstract Background Despite the notoriety of Ebola virus disease (EVD) as one of the world’s most deadly infections, EVD has a wide range of outcomes, where asymptomatic infection may be almost as common as fatality. With increasingly sensitive EVD diagnosis, there is a need for more accurate prognostic tools that objectively stratify clinical severity to better allocate limited resources and identify those most in need of intensive treatment.
Methods/Principal Findings This retrospective cohort study analyses the clinical characteristics of 158 EVD(+) patients at the GOAL-Mathaska Ebola Treatment Centre, Sierra Leone. The prognostic potential of each characteristic was assessed and incorporated into a statistically weighted disease score. The mortality rate among EVD(+) patients was 60.8% and highest in those aged 25 years (p
Predicting Ebola Severity: A Clinical Prioritization Score for Ebola Virus Disease Mary-Anne Hartley1,2*, Alyssa Young1☯, Anh-Minh Tran1☯, Harry Henry Okoni-Williams1, Mohamed Suma1, Brooke Mancuso1, Ahmed Al-Dikhari1, Mohamed Faouzi3 1 GOAL Global, Dublin, Ireland, 2 University of Lausanne, Lausanne, Switzerland, 3 Institute of Social and Preventive Medicine, Lausanne, Switzerland ☯ These authors contributed equally to this work. * [email protected]
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OPEN ACCESS Citation: Hartley M-A, Young A, Tran A-M, OkoniWilliams HH, Suma M, Mancuso B, et al. (2017) Predicting Ebola Severity: A Clinical Prioritization Score for Ebola Virus Disease. PLoS Negl Trop Dis 11(2): e0005265. doi:10.1371/journal. pntd.0005265 Editor: Peter W. Horby, University of Oxford, UNITED KINGDOM Received: May 13, 2016 Accepted: December 15, 2016 Published: February 2, 2017 Copyright: © 2017 Hartley et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Data Availability Statement: All relevant data are within the paper and its Supporting Information files. Funding: This study was funded by the Department for International Development (DfID) (https://www. gov.uk/government/organisations/department-forinternational-development, Grant number: 04890) via the humanitarian aid organisation, GOAL Global (https://www.goalglobal.org/). The funders had no role in study design, data collection and analysis,
Abstract Background Despite the notoriety of Ebola virus disease (EVD) as one of the world’s most deadly infections, EVD has a wide range of outcomes, where asymptomatic infection may be almost as common as fatality. With increasingly sensitive EVD diagnosis, there is a need for more accurate prognostic tools that objectively stratify clinical severity to better allocate limited resources and identify those most in need of intensive treatment.
Methods/Principal Findings This retrospective cohort study analyses the clinical characteristics of 158 EVD(+) patients at the GOAL-Mathaska Ebola Treatment Centre, Sierra Leone. The prognostic potential of each characteristic was assessed and incorporated into a statistically weighted disease score. The mortality rate among EVD(+) patients was 60.8% and highest in those aged 25 years (p
