title: Risk factors for device-associated infection related to organisational characteristics of intensive care units: findings from the Korean Nosocomial Infections Surveillance System.
abstract: Device-associated infections (DAIs) have been the major causes of morbidity and mortality of patients in intensive care units (ICUs). This study evaluated the risk factors for DAIs in ICUs. Ninety-six medical or surgical ICUs of 56 hospitals participated in the Korean Nosocomial Infections Surveillance System between July 2007 and June 2008. The occurrence of catheter-associated urinary tract infection (CAUTI), central line-associated bloodstream infection (CABSI), and ventilator-associated pneumonia (VAP) were monitored and DAI rates were calculated. Data associated with ICU characteristics were collected and Poisson regression was used for statistical analysis. Rates of CAUTI, CABSI, and VAP were 3.87 per 1000 urinary catheter days, 2.23 per 1000 central line days, and 1.89 per 1000 mechanical ventilator days, respectively. Rates of CAUTI were higher in ICUs in Seoul (P=0.032) and ICUs of major teaching hospitals (P=0.010). The ICUs of university-affiliated hospitals showed lower CAUTI rates (P=0.013). CABSI rates were higher in Seoul (P=0.001) and in medical ICUs (P=0.026). VAP rates were lower in ICUs of hospitals with more than 900 beds compared with hospitals with 400-699 beds (P=0.026). VAP rates were higher in surgical ICUs (P<0.0001) and increased 1.13-fold with each 100-unit increase in beds per infection control professional (P=0.003). The organisational and institutional characteristics of ICUs may influence DAI rates and there is a need for improvement in the incidence of VAP, CAUTI or CABSI.
authors.affiliation: Department of Infectious Diseases, Inje University Ilsan Paik Hospital, Goyang, Republic of Korea.
authors.forename: Y G
authors.initials: YG
authors.lastname: Kwak
authors.forename: S-O
authors.initials: SO
authors.lastname: Lee
authors.forename: H Y
authors.initials: HY
authors.lastname: Kim
authors.forename: Y K
authors.initials: YK
authors.lastname: Kim
authors.forename: E S
authors.initials: ES
authors.lastname: Park
authors.forename: H Y
authors.initials: HY
authors.lastname: Jin
authors.forename: H J
authors.initials: HJ
authors.lastname: Choi
authors.forename: S Y
authors.initials: SY
authors.lastname: Jeong
authors.forename: E S
authors.initials: ES
authors.lastname: Kim
authors.forename: H K
authors.initials: HK
authors.lastname: Ki
authors.forename: S R
authors.initials: SR
authors.lastname: Kim
authors.forename: J Y
authors.initials: JY
authors.lastname: Lee
authors.forename: H K
authors.initials: HK
authors.lastname: Hong
authors.forename: S
authors.initials: S
authors.lastname: Kim
authors.forename: Y S
authors.initials: YS
authors.lastname: Lee
authors.forename: H-B
authors.initials: HB
authors.lastname: Oh
authors.forename: J M
authors.initials: JM
authors.lastname: Kim
mesh_terms: D016470:Bacteremia / Q000453:epidemiology*; D055499:Catheter-Related Infections / Q000453:epidemiology*; D003428:Cross Infection / Q000453:epidemiology*; D006761:Hospitals; D006801:Humans; D015994:Incidence; D007362:Intensive Care Units / Q000458:organization & administration*; D053717:Pneumonia, Ventilator-Associated / Q000453:epidemiology*; D056910:Republic of Korea / Q000453:epidemiology; D012307:Risk Factors; D014552:Urinary Tract Infections / Q000453:epidemiology*