Estimating excess length of stay due to central line-associated bloodstream infection: separating the wheat from the chaff.
- 1 November 2010
- journal article
- editorial
- Published by Cambridge University Press (CUP) in Infection Control & Hospital Epidemiology
- Vol. 31 (11), 1115-1117
- https://doi.org/10.1086/656594
Abstract
Estimating Excess Length of Stay Due to Central Line–Associated Bloodstream Infection: Separating the Wheat from the Chaff - Volume 31 Issue 11 - Christopher J. CrnichKeywords
This publication has 16 references indexed in Scilit:
- Excess Length of Stay Due to Central Line–Associated Bloodstream Infection in Intensive Care Units in Argentina, Brazil, and MexicoInfection Control & Hospital Epidemiology, 2010
- Cost effectiveness of antimicrobial catheters in the intensive care unit: addressing uncertainty in the decisionCritical Care, 2009
- Risk factors for the development of nosocomial pneumonia and mortality on intensive care units: application of competing risks modelsCritical Care, 2008
- A Simulation-Based Evaluation of Methods to Estimate the Impact of an Adverse Event on Hospital Length of StayMedical Care, 2007
- Raising Standards While Watching the Bottom Line Making a Business Case for Infection ControlInfection Control & Hospital Epidemiology, 2007
- Effect of Healthcare-Acquired Infection on Length of Hospital Stay and CostInfection Control & Hospital Epidemiology, 2007
- Use of Multistate Models to Assess Prolongation of Intensive Care Unit Stay Due to Nosocomial InfectionInfection Control & Hospital Epidemiology, 2006
- The Promise of Novel Technology for the Prevention of Intravascular Device–Related Bloodstream Infection. II. Long‐Term DevicesClinical Infectious Diseases, 2002
- Estimation of extra hospital stay attributable to nosocomial infections: heterogeneity and timing of eventsJournal of Clinical Epidemiology, 2000
- Attributable Morbidity and Mortality of Catheter-Related Septicemia in Critically Ill Patients: a Matched, Risk-Adjusted, Cohort StudyInfection Control & Hospital Epidemiology, 1999