Symptom- and Laboratory-Based Ebola Risk Scores to Differentiate Likely Ebola Infections
Rapidly identifying likely Ebola patients is difficult because of a broad case definition, overlap of symptoms with common illnesses, and lack of rapid diagnostics. However, rapid identification is critical for care and containment of contagion. We analyzed retrospective data from 252 Ebola-positive...
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2017-11-01
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doaj-97b5acd0400b4bf4af5a46226762983b2020-11-24T21:44:22ZengCenters for Disease Control and PreventionEmerging Infectious Diseases1080-60401080-60592017-11-0123111792179910.3201/eid2311.170171Symptom- and Laboratory-Based Ebola Risk Scores to Differentiate Likely Ebola InfectionsShefali OzaAlieu A. SesayNeal J. RussellKevin WingSabah BoufkhedLahai VandiSahr C. SebbaRachael CummingsFrancesco ChecchiRapidly identifying likely Ebola patients is difficult because of a broad case definition, overlap of symptoms with common illnesses, and lack of rapid diagnostics. However, rapid identification is critical for care and containment of contagion. We analyzed retrospective data from 252 Ebola-positive and 172 Ebola-negative patients at a Sierra Leone Ebola treatment center to develop easy-to-use risk scores, based on symptoms and laboratory tests (if available), to stratify triaged patients by their likelihood of having Ebola infection. Headache, diarrhea, difficulty breathing, nausea/vomiting, loss of appetite, and conjunctivitis comprised the symptom-based score. The laboratory-based score also included creatinine, creatine kinase, alanine aminotransferase, and total bilirubin. This risk score correctly identified 92% of Ebola-positive patients as high risk for infection; both scores correctly classified >70% of Ebola-negative patients as low or medium risk. Clinicians can use these risk scores to gauge the likelihood of triaged patients having Ebola while awaiting laboratory confirmation.https://wwwnc.cdc.gov/eid/article/23/11/17-0171_articlehemorrhagic feverEboladisease outbreaksriskSierra Leoneviruses |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Shefali Oza Alieu A. Sesay Neal J. Russell Kevin Wing Sabah Boufkhed Lahai Vandi Sahr C. Sebba Rachael Cummings Francesco Checchi |
spellingShingle |
Shefali Oza Alieu A. Sesay Neal J. Russell Kevin Wing Sabah Boufkhed Lahai Vandi Sahr C. Sebba Rachael Cummings Francesco Checchi Symptom- and Laboratory-Based Ebola Risk Scores to Differentiate Likely Ebola Infections Emerging Infectious Diseases hemorrhagic fever Ebola disease outbreaks risk Sierra Leone viruses |
author_facet |
Shefali Oza Alieu A. Sesay Neal J. Russell Kevin Wing Sabah Boufkhed Lahai Vandi Sahr C. Sebba Rachael Cummings Francesco Checchi |
author_sort |
Shefali Oza |
title |
Symptom- and Laboratory-Based Ebola Risk Scores to Differentiate Likely Ebola Infections |
title_short |
Symptom- and Laboratory-Based Ebola Risk Scores to Differentiate Likely Ebola Infections |
title_full |
Symptom- and Laboratory-Based Ebola Risk Scores to Differentiate Likely Ebola Infections |
title_fullStr |
Symptom- and Laboratory-Based Ebola Risk Scores to Differentiate Likely Ebola Infections |
title_full_unstemmed |
Symptom- and Laboratory-Based Ebola Risk Scores to Differentiate Likely Ebola Infections |
title_sort |
symptom- and laboratory-based ebola risk scores to differentiate likely ebola infections |
publisher |
Centers for Disease Control and Prevention |
series |
Emerging Infectious Diseases |
issn |
1080-6040 1080-6059 |
publishDate |
2017-11-01 |
description |
Rapidly identifying likely Ebola patients is difficult because of a broad case definition, overlap of symptoms with common illnesses, and lack of rapid diagnostics. However, rapid identification is critical for care and containment of contagion. We analyzed retrospective data from 252 Ebola-positive and 172 Ebola-negative patients at a Sierra Leone Ebola treatment center to develop easy-to-use risk scores, based on symptoms and laboratory tests (if available), to stratify triaged patients by their likelihood of having Ebola infection. Headache, diarrhea, difficulty breathing, nausea/vomiting, loss of appetite, and conjunctivitis comprised the symptom-based score. The laboratory-based score also included creatinine, creatine kinase, alanine aminotransferase, and total bilirubin. This risk score correctly identified 92% of Ebola-positive patients as high risk for infection; both scores correctly classified >70% of Ebola-negative patients as low or medium risk. Clinicians can use these risk scores to gauge the likelihood of triaged patients having Ebola while awaiting laboratory confirmation. |
topic |
hemorrhagic fever Ebola disease outbreaks risk Sierra Leone viruses |
url |
https://wwwnc.cdc.gov/eid/article/23/11/17-0171_article |
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