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Risk Prediction Score for Pediatric Patients with Suspected Ebola Virus Disease
Rapid diagnostic tools for children with Ebola virus disease (EVD) are needed to expedite isolation and treatment. To evaluate a predictive diagnostic tool, we examined retrospective data (2014–2015) from the International Medical Corps Ebola Treatment Centers in West Africa. We incorporated statist...
Autores principales: | , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Centers for Disease Control and Prevention
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9155869/ https://www.ncbi.nlm.nih.gov/pubmed/35608611 http://dx.doi.org/10.3201/eid2806.212265 |
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author | Genisca, Alicia E. Chu, Tzu-Chun Huang, Lawrence Gainey, Monique Adeniji, Moyinoluwa Mbong, Eta N. Kennedy, Stephen B. Laghari, Razia Nganga, Fiston Muhayangabo, Rigo F. Vaishnav, Himanshu Perera, Shiromi M. Colubri, Andrés Levine, Adam C. Michelow, Ian C. |
author_facet | Genisca, Alicia E. Chu, Tzu-Chun Huang, Lawrence Gainey, Monique Adeniji, Moyinoluwa Mbong, Eta N. Kennedy, Stephen B. Laghari, Razia Nganga, Fiston Muhayangabo, Rigo F. Vaishnav, Himanshu Perera, Shiromi M. Colubri, Andrés Levine, Adam C. Michelow, Ian C. |
author_sort | Genisca, Alicia E. |
collection | PubMed |
description | Rapid diagnostic tools for children with Ebola virus disease (EVD) are needed to expedite isolation and treatment. To evaluate a predictive diagnostic tool, we examined retrospective data (2014–2015) from the International Medical Corps Ebola Treatment Centers in West Africa. We incorporated statistically derived candidate predictors into a 7-point Pediatric Ebola Risk Score. Evidence of bleeding or having known or no known Ebola contacts was positively associated with an EVD diagnosis, whereas abdominal pain was negatively associated. Model discrimination using area under the curve (AUC) was 0.87, which outperforms the World Health Organization criteria (AUC 0.56). External validation, performed by using data from International Medical Corps Ebola Treatment Centers in the Democratic Republic of the Congo during 2018–2019, showed an AUC of 0.70. External validation showed that discrimination achieved by using World Health Organization criteria was similar; however, the Pediatric Ebola Risk Score is simpler to use. |
format | Online Article Text |
id | pubmed-9155869 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Centers for Disease Control and Prevention |
record_format | MEDLINE/PubMed |
spelling | pubmed-91558692022-06-04 Risk Prediction Score for Pediatric Patients with Suspected Ebola Virus Disease Genisca, Alicia E. Chu, Tzu-Chun Huang, Lawrence Gainey, Monique Adeniji, Moyinoluwa Mbong, Eta N. Kennedy, Stephen B. Laghari, Razia Nganga, Fiston Muhayangabo, Rigo F. Vaishnav, Himanshu Perera, Shiromi M. Colubri, Andrés Levine, Adam C. Michelow, Ian C. Emerg Infect Dis Research Rapid diagnostic tools for children with Ebola virus disease (EVD) are needed to expedite isolation and treatment. To evaluate a predictive diagnostic tool, we examined retrospective data (2014–2015) from the International Medical Corps Ebola Treatment Centers in West Africa. We incorporated statistically derived candidate predictors into a 7-point Pediatric Ebola Risk Score. Evidence of bleeding or having known or no known Ebola contacts was positively associated with an EVD diagnosis, whereas abdominal pain was negatively associated. Model discrimination using area under the curve (AUC) was 0.87, which outperforms the World Health Organization criteria (AUC 0.56). External validation, performed by using data from International Medical Corps Ebola Treatment Centers in the Democratic Republic of the Congo during 2018–2019, showed an AUC of 0.70. External validation showed that discrimination achieved by using World Health Organization criteria was similar; however, the Pediatric Ebola Risk Score is simpler to use. Centers for Disease Control and Prevention 2022-06 /pmc/articles/PMC9155869/ /pubmed/35608611 http://dx.doi.org/10.3201/eid2806.212265 Text en https://creativecommons.org/licenses/by/4.0/Emerging Infectious Diseases is a publication of the U.S. Government. This publication is in the public domain and is therefore without copyright. All text from this work may be reprinted freely. Use of these materials should be properly cited. |
spellingShingle | Research Genisca, Alicia E. Chu, Tzu-Chun Huang, Lawrence Gainey, Monique Adeniji, Moyinoluwa Mbong, Eta N. Kennedy, Stephen B. Laghari, Razia Nganga, Fiston Muhayangabo, Rigo F. Vaishnav, Himanshu Perera, Shiromi M. Colubri, Andrés Levine, Adam C. Michelow, Ian C. Risk Prediction Score for Pediatric Patients with Suspected Ebola Virus Disease |
title | Risk Prediction Score for Pediatric Patients with Suspected Ebola Virus Disease |
title_full | Risk Prediction Score for Pediatric Patients with Suspected Ebola Virus Disease |
title_fullStr | Risk Prediction Score for Pediatric Patients with Suspected Ebola Virus Disease |
title_full_unstemmed | Risk Prediction Score for Pediatric Patients with Suspected Ebola Virus Disease |
title_short | Risk Prediction Score for Pediatric Patients with Suspected Ebola Virus Disease |
title_sort | risk prediction score for pediatric patients with suspected ebola virus disease |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9155869/ https://www.ncbi.nlm.nih.gov/pubmed/35608611 http://dx.doi.org/10.3201/eid2806.212265 |
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