Occult nosocomial infections

Details

Ressource 1Download: REF.pdf (103.36 [Ko])
State: Public
Version: Final published version
License: Not specified
It was possible to publish this article open access thanks to a Swiss National Licence with the publisher.
Serval ID
serval:BIB_65AD66B67C22
Type
Article: article from journal or magazin.
Publication sub-type
Review (review): journal as complete as possible of one specific subject, written based on exhaustive analyses from published work.
Collection
Publications
Institution
Title
Occult nosocomial infections
Journal
Infection Control and Hospital Epidemiology
Author(s)
Petignat  C., Blanc  D. S., Francioli  P.
ISSN
0899-823X
Publication state
Published
Issued date
08/1998
Peer-reviewed
Oui
Volume
19
Number
8
Pages
593-6
Notes
Journal Article --- Old month value: Aug
Abstract
Even with a good surveillance program, nosocomial infections may be not recognized because of several reasons: absence of symptoms or prolonged incubation period (eg, viral bloodborne infections, tuberculosis); problems with the microbiological diagnosis, because adequate specimens may be difficult to obtain or special methods should be used (eg, fungal infections, virus, new agents); shorter hospital stays (eg, surgical-site infections); difficulty in distinguishing between nosocomial and community-acquired infections (eg, influenza); and failure to detect clinically relevant colonization (eg, multiresistant microorganisms). Because of the important potential consequences of occult nosocomial infections, specific surveillance programs should be designed to address these problems.
Keywords
Carrier State Contact Tracing *Cross Infection/diagnosis/microbiology/prevention & control/transmission Disease Reservoirs Environmental Monitoring/standards Hospitals Humans Infection Control/methods/*standards Length of Stay Microbial Sensitivity Tests/standards Population Surveillance Virus Latency
Pubmed
Web of science
Open Access
Yes
Create date
29/01/2008 16:20
Last modification date
14/02/2022 8:55
Usage data