Even with good surveillance programmes, hospital-acquired infections (HAls) are not always recognized and this may lead to an outbreak. In order to reduce this risk, we propose a model for prompt detection of HAls, based on the use of a real-time epidemiological information system called VIGI@ct (R) (bioMerieux, Las Balmas, France) and on the rapid confirmation or exclusion of the genetic relationship among pathogens using fluorescent amplified length fragment polymorphism (f-AFLP) microbial fingerprinting. We present the results of one year's experience with the system, which identified a total, of 306 suspicious HAls. Of these, 281 (92%) were 'confirmed' by clinical evidence, 16 (5%) were considered to be simple colonization and the tatter nine (3%) were archived as 'not answered' because of the absence of the physician's cooperation. There were seven suspected outbreaks; of these, f-AFLP analysis confirmed the clonal relationship among the isolates in four cases: outbreak 1 (four isolates of Pseudomonas aeruginosa), outbreak 2 (three Escherichia coli isolates), outbreak 6 (two Candida parapsilosis isolates) and outbreak 7 (30 ESPL-producing Klebsiella pneumoniae subsp. pneumoniae). Based on our results, we conclude that the combination of VIGI@ct (R) and f-AFLP is useful in the rapid assessment of an outbreak due to Gram-positive or Gramnegative bacteria and yeasts. (C) 2007 The Hospital Infection Society. Published by Elsevier Ltd. All rights reserved.

Fontana, C., Favaro, M., Pistoia, E., Minelli, S., Bossa, M., Altieri, A., et al. (2007). The combined use of VIGl@ct (R) (bioMerieux) and fluorescent amplified length fragment polymorphisms in the investigation of potential outbreaks. THE JOURNAL OF HOSPITAL INFECTION, 66(3), 262-268 [10.1016/j.jhin.2007.04.004].

The combined use of VIGl@ct (R) (bioMerieux) and fluorescent amplified length fragment polymorphisms in the investigation of potential outbreaks

FONTANA, CARLA;FAVARO, MARCO;LEONARDIS, FRANCESCA;NATOLI, SILVIA;FAVALLI, CARTESIO
2007

Abstract

Even with good surveillance programmes, hospital-acquired infections (HAls) are not always recognized and this may lead to an outbreak. In order to reduce this risk, we propose a model for prompt detection of HAls, based on the use of a real-time epidemiological information system called VIGI@ct (R) (bioMerieux, Las Balmas, France) and on the rapid confirmation or exclusion of the genetic relationship among pathogens using fluorescent amplified length fragment polymorphism (f-AFLP) microbial fingerprinting. We present the results of one year's experience with the system, which identified a total, of 306 suspicious HAls. Of these, 281 (92%) were 'confirmed' by clinical evidence, 16 (5%) were considered to be simple colonization and the tatter nine (3%) were archived as 'not answered' because of the absence of the physician's cooperation. There were seven suspected outbreaks; of these, f-AFLP analysis confirmed the clonal relationship among the isolates in four cases: outbreak 1 (four isolates of Pseudomonas aeruginosa), outbreak 2 (three Escherichia coli isolates), outbreak 6 (two Candida parapsilosis isolates) and outbreak 7 (30 ESPL-producing Klebsiella pneumoniae subsp. pneumoniae). Based on our results, we conclude that the combination of VIGI@ct (R) and f-AFLP is useful in the rapid assessment of an outbreak due to Gram-positive or Gramnegative bacteria and yeasts. (C) 2007 The Hospital Infection Society. Published by Elsevier Ltd. All rights reserved.
Pubblicato
Rilevanza internazionale
Articolo
Sì, ma tipo non specificato
Settore MED/41 - Anestesiologia
English
Con Impact Factor ISI
amplified fragment length polymorphism; article; Candida parapsilosis; disease surveillance; epidemic; epidemiological data; Escherichia coli; fluorescence; Gram negative bacterium; Gram positive bacterium; hospital infection; human; information system; Klebsiella pneumoniae; microbial colonization; molecular phylogeny; Pseudomonas aeruginosa; risk reduction; yeast; Bacterial Typing Techniques; Cross Infection; Disease Outbreaks; Genotype; Humans; Infection Control; Intensive Care Units; Italy; Medical Records Systems, Computerized; Polymorphism, Restriction Fragment Length; Sentinel Surveillance
F-AFLP; Surveillance of hospital infections; Typing methods
Fontana, C., Favaro, M., Pistoia, E., Minelli, S., Bossa, M., Altieri, A., et al. (2007). The combined use of VIGl@ct (R) (bioMerieux) and fluorescent amplified length fragment polymorphisms in the investigation of potential outbreaks. THE JOURNAL OF HOSPITAL INFECTION, 66(3), 262-268 [10.1016/j.jhin.2007.04.004].
Fontana, C; Favaro, M; Pistoia, E; Minelli, S; Bossa, M; Altieri, A; Testore, G; Leonardis, F; Natoli, S; Favalli, C
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/2108/49267
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