Prognostic indicators for Ebola patient survival

Samuel J. Crowe, Matthew J. Maenner, Solomon Kuah, Bobbie Rae Erickson, Megan Coffee, Barbara Knust, John Klena, Joyce Foday, Darren Hertz, Veerle Hermans, Jay Achar, Grazia M. Caleo, Michel Van Herp, César G. Albariño, Brian Amman, Alison Jane Basile, Scott Bearden, Jessica A. Belser, Eric Bergeron, Dianna BlauAaron Brault, Shelley Campbell, Mike Flint, Aridth Gibbons, Christin Goodman, Laura McMullan, Christopher Paddock, Brandy Russell, Johanna S. Salzer, Angela Sanchez, Tara Sealy, David Wang, Gbessay Saffa, Alhajie Turay, Stuart T. Nichol, Jonathan S. Towner

Research output: Contribution to journalArticlepeer-review

46 Scopus citations


To determine whether 2 readily available indicators predicted survival among patients with Ebola virus disease in Sierra Leone, we evaluated information for 216 of the 227 patients in Bo District during a 4-month period. The indicators were time from symptom onset to healthcare facility admission and quantitative real-time reverse transcription PCR cycle threshold (Ct), a surrogate for viral load, in first Ebola virus-positive blood sample tested. Of these patients, 151 were alive when detected and had reported healthcare facility admission dates and Ct values available. Time from symptom onset to healthcare facility admission was not associated with survival, but viral load in the first Ebola viruspositive blood sample was inversely associated with survival: 52 (87%) of 60 patients with a Ct of ≥24 survived and 20 (22%) of 91 with a Ct of ≥24 survived. Ct values may be useful for clinicians making treatment decisions or managing patient or family expectations.

Original languageEnglish (US)
Pages (from-to)217-223
Number of pages7
JournalEmerging Infectious Diseases
Issue number2
StatePublished - Feb 1 2016
Externally publishedYes

ASJC Scopus subject areas

  • Epidemiology
  • Microbiology (medical)
  • Infectious Diseases


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