ArticleEmerging infectious diseases2017
Symptom- and Laboratory-Based Ebola Risk Scores to Differentiate Likely Ebola Infections.
Article in Emerging infectious diseases, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 2 of them syntheses that pooled it.
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Who cites it
10 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Clinical and epidemiological performance of WHO Ebola case definitions: a systematic review and meta-analysis.The Lancet. Infectious diseases · 2020Pooled it
- Meta-analysis of predictive symptoms for Ebola virus disease.PLoS neglected tropical diseases · 2020Pooled it
- Rapid Decision Algorithm for Patient Triage during Ebola Outbreaks.Emerging infectious diseases · 2024Article
- Ebola Virus Tropism in Ex Vivo Cynomolgus Macaque Ocular Tissues.The Journal of infectious diseases · 2023Article
- Development of Ebola virus disease prediction scores: Screening tools for Ebola suspects at the triage-point during an outbreak.PloS one · 2022Article
- Period prevalence and identification challenges of viral haemorrhagic fever suspect cases in a tertiary referral hospital in Guinea: a cross-sectional, retrospective study of triage and emergency room patient profiles.BMC infectious diseases · 2020Article
- Development of an antigen detection assay for early point-of-care diagnosis of Zaire ebolavirus.PLoS neglected tropical diseases · 2020Article
- Article
- Symptom-Based Ebola Risk Score for Ebola Virus Disease, Conakry, Guinea.Emerging infectious diseases · 2018Article
- Surviving Ebola: A historical cohort study of Ebola mortality and survival in Sierra Leone 2014-2015.PloS one · 2018Article
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Authors and funding
9 authors.
Funding
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Abstract
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.
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