title: Nosocomial infection in an intensive-care unit: identification of risk factors.
abstract: OBJECTIVE
  To identify risk factors predictive of nosocomial infection in an intensive-care unit (ICU) and to identify patients with a higher risk of nosocomial infection using a predictive model of nosocomial infection in our ICU.
  
  
  METHODS
  Prospective study; daily concurrent surveillance of intensive-care-unit patients.
  
  
  METHODS
  All patients admitted for at least 24 hours to the ICU of a tertiary-level hospital from February to November 1994 were followed daily.
  
  
  METHODS
  Variables measuring extrinsic and intrinsic risk factors for nosocomial infection were collected on each patient during their ICU stay, and the Cox Proportional Hazards multivariable technique was used to identify the variables significantly associated with infection.
  
  
  RESULTS
  The population studied consisted of 944 patients. The main risk factors identified were intrinsic; the significant extrinsic risk factors identified were head of the bed in a horizontal (< 30 degrees) position (this variable presented the highest increase of the infection hazard ratio) and the use of sedative medication. Patients presenting the highest risk scores using the predictive model are those with the highest risk of nosocomial infection.
  
  
  CONCLUSIONS
  The important preventive measures derived from our results are that underlying conditions suffered by the patient at the ICU admission should be corrected promptly, the depression of the patient's level of consciousness with sedatives should be monitored carefully, and the horizontal position of the head of the bed should be avoided totally. Patients with a high risk of infection can be the target of special preventive measures.
authors.affiliation: Department of Preventive Medicine, Reina Sofía University Hospital, Córdoba, Spain.
authors.forename: R
authors.initials: R
authors.lastname: Fernández-Crehuet
authors.forename: C
authors.initials: C
authors.lastname: Díaz-Molina
authors.forename: J
authors.initials: J
authors.lastname: de Irala
authors.forename: D
authors.initials: D
authors.lastname: Martínez-Concha
authors.forename: I
authors.initials: I
authors.lastname: Salcedo-Leal
authors.forename: J
authors.initials: J
authors.lastname: Masa-Calles
mesh_terms: D018806:APACHE; D003428:Cross Infection / Q000453:epidemiology* / Q000209:etiology / Q000517:prevention & control; D005260:Female; D006801:Humans; D015994:Incidence; D007362:Intensive Care Units / Q000706:statistics & numerical data*; D007902:Length of Stay; D008297:Male; D015233:Models, Statistical; D011446:Prospective Studies; D012307:Risk Factors; D013030:Spain