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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...

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Autores principales: 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.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Centers for Disease Control and Prevention 2022
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.
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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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