Implementation of a novel on-ward computer-assisted surveillance system for device-associated infections in an intensive care unit

Quelle surveillance des infections associées aux soins en réanimation en 2018 ?

La surveillance des infections associées aux soins (IAS) est prioritaire en réanimation, secteur à haut risque du fait de l’état critique des patients et de leur exposition aux dispositifs invasifs. Elle présente un triple objectif : décrire l’épidémiologie et l’incidence des IAS ; évaluer l’impact des actions de prévention ou de contrôle et alerter face à une épidémie ou des phénomènes émergents. Cette surveillance des IAS peut être réalisée selon une méthodologie interne, définie par l’établissement, ou intégrée à un réseau de surveillance. L’intérêt de la surveillance pour la prévention des IAS en réanimation n’est plus à démontrer, mais la surveillance manuelle reste chronophage pour les cliniciens et les équipes d’hygiène, limitant ainsi le temps dédié à la prévention de ces infections. La surveillance automatisée apparaît aujourd’hui comme un outil intéressant, tant par ses performances que par le gain de temps qu’elle représente pour les équipes. Plusieurs éléments sont primordiaux pour obtenir des résultats fiables : la nécessité d’une harmonisation des définitions et des méthodes de surveillance ; la mise à disposition d’outils informatiques performants pour faciliter le suivi des patients ; le leadership des réanimateurs dans la surveillance. Cet article fait le point sur les méthodes de surveillance des IAS utilisées aujourd’hui en réanimation, l’intérêt de la mise en place de cette surveillance épidémiologique ainsi que la fiabilité des données recueillies et, enfin, les avantages du développement d’une surveillance semi-automatisée ou automatisée des IAS dans ce secteur.

Preventable proportion of intubation-associated pneumonia: Role of adherence to a care bundle

Objective

The aim of the present study was to estimate the preventable proportion of Intubation-Associated Pneumonia (IAP) in the Intensive Care Units (ICUs) participating in the Italian Nosocomial Infections Surveillance in ICUs (SPIN-UTI) network, taking into account differences in intrinsic patients’ risk factors, and additionally considering the compliance with the European bundle for IAP prevention.

Methods

A prospective patient-based survey was conducted and all patients staying in ICU for more than 2 days were enrolled in the surveillance. Compliance with the bundle was assessed using a questionnaire for each intubated patient. A twofold analysis by the parametric g-formula was used to compute the number of infections to be expected if the infection incidence in all ICUs could be reduced to that one of the top-tenth-percentile-ranked ICUs and to that one of the ICU with the highest compliance to all five bundle components.

Results

A total of 1,840 patients and of 17 ICUs were included in the first analysis showing a preventable proportion of 44% of IAP. In a second analysis on a subset of data, considering compliance with the European bundle, a preventable proportion of 40% of IAP was shown. A significant negative trend of IAP incidences was observed with increasing number of bundle components performed (p<0.001) and a strong negative correlation between these two factors was shown (r = -0.882; p = 0.048).

Conclusions

The g-formula controlled for time-varying factors is a valuable approach for estimating the preventable proportion of IAP and the impact of interventions, based entirely on an observed population in a real-world setting. However, both the study design that cannot definitively prove a causative relationship between bundle compliance and IAP risk, and the small number of patients included in the care bundle compliance analysis, may represent limits of the study and further and larger studies should be conducted.

Validity analysis of a unique infection surveillance system in the intensive care unit by analysis of a data warehouse built through a workflow-integrated software application

BACKGROUND

An electronic decision support programme was developed within the intensive care unit (ICU) that provides an overview of all infection-related patient data, and allows ICU physicians to add clinical information during patient rounds, resulting in prospective compilation of a database.

AIM

To assess the validity of computer-assisted surveillance (CAS) of ICU-acquired infection performed by analysis of this database.

METHODS

CAS was compared with prospective paper-based surveillance (PBS) for ICU-acquired respiratory tract infection (RTI), bloodstream infection (BSI) and urinary tract infection (UTI) over four months at a 36-bed medical and surgical ICU. An independent panel reviewed the data in the case of discrepancy between CAS and PBS.

FINDINGS

PBS identified 89 ICU-acquired infections (13 BSI, 18 UTI, 58 RTI) and CAS identified 90 ICU-acquired infections (14 BSI, 17 UTI, 59 RTI) in 876 ICU admissions. There was agreement between CAS and PBS on 13 BSI (100 %), 14 UTI (77.8 %) and 42 RTI (72.4 %). Overall, there was agreement on 69 infections (77.5%), resulting in a kappa score of 0.74. Discrepancy between PBS and CAS was the result of capture error in 11 and 14 infections, respectively. Interobserver disagreement on probability (13 RTI) and focus (two RTI, one UTI) occurred for 16 episodes. The time required to collect information using CAS is less than 30% of the time required when using PBS.

CONCLUSION

CAS for ICU-acquired infection by analysis of a database built through daily workflow is a feasible surveillance method and has good agreement with PBS. Discrepancy between CAS and PBS is largely due to interobserver variability.