publication . Doctoral thesis . 2016

Surveillance des infections nosocomiales en réanimation : intérêt d'une approche multimodale clinico-biologique et étude d'impact

Lavigne, Thierry;
Open Access French
  • Published: 22 Dec 2016
  • Publisher: HAL CCSD
Abstract
Monitoring the infection acquired in intensive care units (ICU-AI) is a strategic tool for the control of hospital-associated infections. We enhanced the national surveillance database REA-RAISIN with the local diagnosis-related group database. This allows us to have data on the whole hospitalization and assess additional risk factors. The assessment of the impact of these ICU-AI on mortality and length of stay needs appropriate and multiple statistical analysis to take in account various potential bias, including time-dependent bias and competitive risk. This impact is a function of the kind of IAR. Mortality is most affected by bacteremia, more lightly by pneu...
Subjects
free text keywords: Modèles multi-états, Competitive risk, Risques compétitifs, Infection nosocomiale, Outbreak, Intensive care unit, Modélisation, Epidémie, [SDV.MHEP]Life Sciences [q-bio]/Human health and pathology, Nosocomial infection, Multistate model, Staphylococcus aureus

96.

Abstract
Monitoring the infection acquired in intensive care units (ICU-AI) is a strategic tool for the control of hospital-associated infections. We enhanced the national surveillance database REA-RAISIN with the local diagnosis-related group database. This allows us to have data on the whole hospitalization and assess additional risk factors. The assessment of the impact of these ICU-AI on mortality and length of stay needs appropriate and multiple statistical analysis to take in account various potential bias, including time-dependent bias and competitive risk. This impact is a function of the kind of IAR. Mortality is most affected by bacteremia, more lightly by pneu...
Subjects
free text keywords: Modèles multi-états, Competitive risk, Risques compétitifs, Infection nosocomiale, Outbreak, Intensive care unit, Modélisation, Epidémie, [SDV.MHEP]Life Sciences [q-bio]/Human health and pathology, Nosocomial infection, Multistate model, Staphylococcus aureus

96.

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publication . Doctoral thesis . 2016

Surveillance des infections nosocomiales en réanimation : intérêt d'une approche multimodale clinico-biologique et étude d'impact

Lavigne, Thierry;