title: Prognostic Analysis of Patients with Ebola Virus Disease.
abstract: BACKGROUND
  The Ebola virus causes an acute, serious illness which is often fatal if untreated. However, factors affecting the survival of the disease remain unclear. Here, we investigated the prognostic factors of Ebola virus disease (EVD) through various statistical models.
  
  
  RESULTS
  Sixty three laboratory-confirmed EVD patients with relatively complete clinical profiles were included in the study. All the patients were recruited at Jui Government Hospital, Sierra Leone between October 1st, 2014 and January 18th, 2015. We first investigated whether a single clinical presentation would be correlated with the survival of EVD. Log-rank test demonstrated that patients with viral load higher than 10(6) copies/ml presented significantly shorter survival time than those whose viral load were lower than 10(6) copies/ml (P = 0.005). Also, using Pearson chi-square test, we identified that chest pain, coma, and viral load (>10(6) copies/ml) were significantly associated with poor survival of EVD patients. Furthermore, we evaluated the effect of multiple variables on the survival of EVD by Cox proportional hazards model. Interestingly, results revealed that patient's age, symptom of confusion, and viral load were the significantly associated with the survival of EVD cases (P = 0.017, P = 0.002, and P = 0.027, respectively).
  
  
  CONCLUSIONS
  These results suggest that age, chest pain, coma, confusion and viral load are associated with the prognosis of EVD, in which viral load could be one of the most important factors for the survival of the disease.
authors.affiliation: PLA General Hospital, Beijing, China; Beijing 302 Hospital, Beijing, China.
authors.forename: Xin
authors.initials: X
authors.lastname: Zhang
authors.affiliation: Beijing 302 Hospital, Beijing, China.
authors.forename: Yihui
authors.initials: Y
authors.lastname: Rong
authors.affiliation: Beijing 302 Hospital, Beijing, China.
authors.forename: Lijian
authors.initials: L
authors.lastname: Sun
authors.affiliation: Beijing 302 Hospital, Beijing, China.
authors.forename: Liming
authors.initials: L
authors.lastname: Liu
authors.affiliation: Beijing 302 Hospital, Beijing, China.
authors.forename: Haibin
authors.initials: H
authors.lastname: Su
authors.affiliation: Beijing 302 Hospital, Beijing, China.
authors.forename: Jian
authors.initials: J
authors.lastname: Zhang
authors.affiliation: Beijing 302 Hospital, Beijing, China.
authors.forename: Guangju
authors.initials: G
authors.lastname: Teng
authors.affiliation: Beijing 302 Hospital, Beijing, China.
authors.forename: Ning
authors.initials: N
authors.lastname: Du
authors.affiliation: Beijing 302 Hospital, Beijing, China.
authors.forename: Haoyang
authors.initials: H
authors.lastname: Chen
authors.affiliation: BGC Biotechnology Research Center, Jinan, Shandong, China.
authors.forename: Yuan
authors.initials: Y
authors.lastname: Fang
authors.affiliation: BGC Biotechnology Research Center, Jinan, Shandong, China.
authors.forename: Wei
authors.initials: W
authors.lastname: Zhan
authors.affiliation: Jui Government Hospital, Freetown, Sierra Leone.
authors.forename: Alex B J
authors.initials: AB
authors.lastname: Kanu
authors.affiliation: Jui Government Hospital, Freetown, Sierra Leone.
authors.forename: Sheku M
authors.initials: SM
authors.lastname: Koroma
authors.affiliation: Beijing 302 Hospital, Beijing, China.
authors.forename: Bo
authors.initials: B
authors.lastname: Jin
authors.affiliation: Beijing 302 Hospital, Beijing, China.
authors.forename: Zhe
authors.initials: Z
authors.lastname: Xu
authors.affiliation: Emergency Center, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, China.
authors.forename: Haihan
authors.initials: H
authors.lastname: Song
mesh_terms: D000328:Adult; D000367:Age Factors; D029043:Ebolavirus / Q000302:isolation & purification*; D005260:Female; D019142:Hemorrhagic Fever, Ebola / Q000175:diagnosis / Q000453:epidemiology / Q000401:mortality*; D006801:Humans; D008297:Male; D011379:Prognosis; D016016:Proportional Hazards Models; D012807:Sierra Leone; D016019:Survival Analysis; D019562:Viral Load