Literature DB >> 16622812

Device-associated infection rates for non-intensive care unit patients.

Ralf-Peter Vonberg1, M Behnke, C Geffers, D Sohr, H Ruden, M Dettenkofer, P Gastmeier.   

Abstract

BACKGROUND: Reference data from intensive care units (ICUs) are not applicable to non-ICU patients because of the differences in device use rates, length of stay, and severity of underlying diseases among the patient populations. In contrast to the huge amount of data available for ICU patients, appropriate surveillance data for non-ICU patients have been missing in Germany.
OBJECTIVE: To establish a new module ("DEVICE-KISS") of the German Nosocomial Infection Surveillance System for generating stratified reference data for non-ICU wards.
SETTING: Non-ICU patients from 42 German hospitals.
METHODS: Monthly patient-days, device-days and nosocomial infections (NIs) (using Centers for Disease Control and Prevention definitions) were counted. Device use rates were calculated, and NI rates were stratified by different medical specialities.
RESULTS: From July 2002 through June 2004, among the 77 wards, there were a total of 536,955 patient-days and 74,188 device-days (for CVC-associated primary bloodstream infections, there were 181,401 patient-days and 8,317 central vascular catheter [CVC]-days in 29 wards; for urinary catheter-associated urinary tract infections, there were 445,536 patient-days and 65,871 urinary catheter-days in 65 wards) and 483 NIs (36 bloodstream infections and 447 urinary tract infections). The mean device use rates were 4.6 device-days per 100 patient-days for CVCs (29 wards) and 14.8 device-days per 100 patient-days for urinary catheters (65 wards), respectively. Mean device-associated NI rates were 4.3 infections per 1,000 CVC-days for CVC-associated bloodstream infections and 6.8 infections per 1,000 urinary catheter-days for catheter-associated urinary tract infections.
CONCLUSIONS: DEVICE-KISS allows non-ICUs to recognize an outlier position with regard to NIs by providing well-founded reference data for non-ICU patients.

Entities:  

Mesh:

Year:  2006        PMID: 16622812     DOI: 10.1086/503339

Source DB:  PubMed          Journal:  Infect Control Hosp Epidemiol        ISSN: 0899-823X            Impact factor:   3.254


  13 in total

1.  Intervention to reduce catheter-related bloodstream infections in a pediatric intensive care unit.

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3.  [Costs due to urinary tract infections in Germany. An estimation based on the data from the German National Nosocomial Infections Surveillance System].

Authors:  R-P Vonberg; M Behnke; H Rüden; P Gastmeier
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7.  Medical Device-Associated Candida Infections in a Rural Tertiary Care Teaching Hospital of India.

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8.  Culture Positivity of CVCs Used for TPN: Investigation of an Association with Catheter-Related Infection and Comparison of Causative Organisms between ICU and Non-ICU CVCs.

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9.  Uncommon aetiological agents of catheter-related bloodstream infections.

Authors:  E Reigadas; M Rodríguez-Créixems; C Sánchez-Carrillo; P Martín-Rabadán; E Bouza
Journal:  Epidemiol Infect       Date:  2014-06-02       Impact factor: 4.434

10.  Epidemiology and impact of a multifaceted approach in controlling central venous catheter associated blood stream infections outside the intensive care unit.

Authors:  José Francisco García-Rodríguez; Hortensia Álvarez-Díaz; Laura Vilariño-Maneiro; María Virginia Lorenzo-García; Ana Cantón-Blanco; Patricia Ordoñez-Barrosa; Ana Isabel Mariño-Callejo; Pascual Sesma-Sánchez
Journal:  BMC Infect Dis       Date:  2013-09-24       Impact factor: 3.090

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