title: [Outcome of community-acquired bacteremia admitted to an Internal Medicine Department].
abstract: OBJECTIVE
  To analyze mortality and associated factors in community-acquired bacteremia admitted to an Internal Medicine Department.
  
  
  METHODS
  Prospective study of bacteremia admitted in 1 year (May 1999-April 2000). We have collected demographic data, previous comorbid conditions, functional status, source of infection, complications, vital signs, laboratory values, APACHE II and SOFA scores, blood cultures, therapy and 28-day mortality. In bivariate analysis, we have used Chi-square, Student-t test and Mann-Whitney U as needed. Significant variables have been introduced in a stepwise backward logistic regression model with mortality as the dependent variable.
  
  
  RESULTS
  We have observed 115 episodes of bacteremia in 114 patients. The source of bacteremia was urinary tract in 57.4% episodes and the most common isolate was Escherichia coli (54.4%). 28-day mortality was 15.3%. Factors independently associated with mortality were septic shock (OR 10.4), non-urinary source of bacteremia (OR 9.3), APACHE II score higher than 20 (OR 5.5), and previous dependent functional status (OR 4.8).
  
  
  CONCLUSIONS
  Mortality risk factors were septic shock, non-urinary source of bacteremia, APACHE II score and dependent functional status.
authors.affiliation: Servicio de Medicina Interna, Hospital de Basurto, Bilbao. alguma@teleline.es
authors.forename: E
authors.initials: E
authors.lastname: Lizarralde Palacios
authors.forename: A
authors.initials: A
authors.lastname: Gutiérrez Macías
authors.forename: P
authors.initials: P
authors.lastname: Martínez Odriozola
authors.forename: J
authors.initials: J
authors.lastname: Ibarmia Lahuerta
authors.forename: F M
authors.initials: FM
authors.lastname: de la Villa
mesh_terms: D018806:APACHE; D000368:Aged; D000369:Aged, 80 and over; D016470:Bacteremia / Q000401:mortality*; D017714:Community-Acquired Infections / Q000401:mortality; D005260:Female; D006760:Hospitalization; D006801:Humans; D007388:Internal Medicine; D016015:Logistic Models; D008297:Male; D008875:Middle Aged; D011379:Prognosis; D013030:Spain