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1.
PLoS One ; 7(6): e38401, 2012.
Article in English | MEDLINE | ID: mdl-22693635

ABSTRACT

Ventilator-associated pneumonia (VAP) is a common nosocomial infection in mechanically ventilated patients. Biofilm formation is one of the mechanisms through which the endotracheal tube (ET) facilitates bacterial contamination of the lower airways. In the present study, we analyzed the composition of the ET biofilm flora by means of culture dependent and culture independent (16 S rRNA gene clone libraries and pyrosequencing) approaches. Overall, the microbial diversity was high and members of different phylogenetic lineages were detected (Actinobacteria, beta-Proteobacteria, Candida spp., Clostridia, epsilon-Proteobacteria, Firmicutes, Fusobacteria and gamma-Proteobacteria). Culture dependent analysis, based on the use of selective growth media and conventional microbiological tests, resulted in the identification of typical aerobic nosocomial pathogens which are known to play a role in the development of VAP, e.g. Staphylococcus aureus and Pseudomonas aeruginosa. Other opportunistic pathogens were also identified, including Staphylococcus epidermidis and Kocuria varians. In general, there was little correlation between the results obtained by sequencing 16 S rRNA gene clone libraries and by cultivation. Pyrosequencing of PCR amplified 16 S rRNA genes of four selected samples resulted in the identification of a much wider variety of bacteria. The results from the pyrosequencing analysis suggest that these four samples were dominated by members of the normal oral flora such as Prevotella spp., Peptostreptococcus spp. and lactic acid bacteria. A combination of methods is recommended to obtain a complete picture of the microbial diversity of the ET biofilm.


Subject(s)
Biofilms/growth & development , Intubation, Intratracheal/adverse effects , Actinobacteria/genetics , Actinobacteria/isolation & purification , Betaproteobacteria/genetics , Betaproteobacteria/isolation & purification , Candida/genetics , Candida/isolation & purification , Epsilonproteobacteria/genetics , Epsilonproteobacteria/isolation & purification , Fusobacteria/genetics , Fusobacteria/isolation & purification , Gammaproteobacteria/genetics , Gammaproteobacteria/isolation & purification , Pneumonia, Ventilator-Associated/microbiology , Pseudomonas aeruginosa/genetics , Pseudomonas aeruginosa/isolation & purification , RNA, Ribosomal, 16S/genetics , Staphylococcus aureus/genetics , Staphylococcus aureus/isolation & purification
2.
J Med Syst ; 36(6): 3765-75, 2012 Dec.
Article in English | MEDLINE | ID: mdl-22527780

ABSTRACT

The Intensive Care Unit is a data intensive environment where large volumes of patient monitoring and observational data are daily generated. Today, there is a lack of an integrated clinical platform for automated decision support and analysis. Despite the potential of electronic records for infection surveillance and antibiotic management, different parts of the clinical data are stored across databases in their own formats with specific parameters, making access to all data a complex and time-consuming challenge. Moreover, the motivation behind physicians' therapy decisions is currently not captured in existing information systems. The COSARA research project offers automated data integration and services for infection control and antibiotic management for Ghent University Hospital. The platform not only gathers and integrates all relevant data, it also presents the information visually at the point of care. In this paper, we describe the design and value of COSARA for clinical treatment and infectious diseases monitoring. On the one hand, this platform can facilitate daily bedside follow-up of infections, antibiotic therapies and clinical decisions for the individual patient, while on the other hand, the platform serves as management view for infection surveillance and care quality improvement within the complete ICU ward. It is shown that COSARA is valuable for registration, real-time presentation and management of infection-related and antibiotics data.


Subject(s)
Anti-Bacterial Agents/therapeutic use , Cross Infection , Decision Support Systems, Clinical , Intensive Care Units , Population Surveillance/methods , Systems Integration , Belgium , Computer Systems , Cross Infection/diagnosis , Cross Infection/prevention & control , Humans , Pharmacy Service, Hospital
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