<oai_dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
  <dc:creator>Bellini C</dc:creator>
  <dc:creator>Petignat C</dc:creator>
  <dc:creator>Francioli P</dc:creator>
  <dc:creator>Wenger A</dc:creator>
  <dc:creator>Bille J</dc:creator>
  <dc:creator>Klopotov A</dc:creator>
  <dc:creator>Vallet Y</dc:creator>
  <dc:creator>Patthey R</dc:creator>
  <dc:creator>Zanetti G</dc:creator>
  <dc:date>2007</dc:date>
  <dc:description xmlns:ns0="xml" ns0:lang="en">OBJECTIVE
Surveillance of nosocomial bloodstream infection (BSI) is recommended, but time-consuming. We explored strategies for automated surveillance.


METHODS
Cohort study. We prospectively processed microbiological and administrative patient data with computerized algorithms to identify contaminated blood cultures, community-acquired BSI, and hospital-acquired BSI and used algorithms to classify the latter on the basis of whether it was a catheter-associated infection. We compared the automatic classification with an assessment (71% prospective) of clinical data.


SETTING
An 850-bed university hospital.


PARTICIPANTS
All adult patients admitted to general surgery, internal medicine, a medical intensive care unit, or a surgical intensive care unit over 3 years.


RESULTS
The results of the automated surveillance were 95% concordant with those of classical surveillance based on the assessment of clinical data in distinguishing contamination, community-acquired BSI, and hospital-acquired BSI in a random sample of 100 cases of bacteremia. The two methods were 74% concordant in classifying 351 consecutive episodes of nosocomial BSI with respect to whether the BSI was catheter-associated. Prolonged episodes of BSI, mostly fungemia, that were counted multiple times and incorrect classification of BSI clinically imputable to catheter infection accounted for 81% of the misclassifications in automated surveillance. By counting episodes of fungemia only once per hospital stay and by considering all cases of coagulase-negative staphylococcal BSI to be catheter-related, we improved concordance with clinical assessment to 82%. With these adjustments, automated surveillance for detection of catheter-related BSI had a sensitivity of 78% and a specificity of 93%; for detection of other types of nosocomial BSI, the sensitivity was 98% and the specificity was 69%.


CONCLUSION
Automated strategies are convenient alternatives to manual surveillance of nosocomial BSI.</dc:description>
  <dc:format>application/pdf</dc:format>
  <dc:identifier>https://sonar.ch/global/documents/125752</dc:identifier>
  <dc:language>eng</dc:language>
  <dc:relation>info:eu-repo/semantics/altIdentifier/doi/10.1086/519861</dc:relation>
  <dc:relation>info:eu-repo/semantics/altIdentifier/pmid/17932822</dc:relation>
  <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
  <dc:source>Infection control and hospital epidemiology. - 2007</dc:source>
  <dc:subject xmlns:ns1="xml" ns1:lang="en">Algorithms</dc:subject>
  <dc:subject xmlns:ns2="xml" ns2:lang="en">Bacteremia</dc:subject>
  <dc:subject xmlns:ns3="xml" ns3:lang="en">Cohort Studies</dc:subject>
  <dc:subject xmlns:ns4="xml" ns4:lang="en">Cross Infection</dc:subject>
  <dc:subject xmlns:ns5="xml" ns5:lang="en">Humans</dc:subject>
  <dc:subject xmlns:ns6="xml" ns6:lang="en">Sentinel Surveillance</dc:subject>
  <dc:subject xmlns:ns7="xml" ns7:lang="en">Statistics as Topic</dc:subject>
  <dc:subject xmlns:ns8="xml" ns8:lang="en">Switzerland</dc:subject>
  <dc:title xmlns:ns9="xml" ns9:lang="en">Comparison of automated strategies for surveillance of nosocomial bacteremia.</dc:title>
  <dc:type>http://purl.org/coar/resource_type/c_6501</dc:type>
</oai_dc:dc>
