Literature DB >> 16671032

Automatic detection of patients with nosocomial infection by a computer-based surveillance system: a validation study in a general hospital.

L Pokorny1, A Rovira, M Martín-Baranera, C Gimeno, C Alonso-Tarrés, J Vilarasau.   

Abstract

OBJECTIVE: To validate an automated system for the detection of patients with nosocomial infection (NI) in an intensive care unit (ICU).
DESIGN: Retrospective analysis of data from the hospital information system. We applied 3 different NI suspicion criteria (positive microbiology reports, antibiotic administration, and diagnosis of clinical infection) and compared the results to those of a prospective NI incidence study done in the ICU during the same period (1999-2002).
SETTING: A 250-bed general hospital in Barcelona, Spain. PATIENTS: From April 15, 1999, through June 30, 2002, 1380 patients were admitted to the ICU. Of these, 1043 had an ICU stay of more than 24 hours and were included in the study.
RESULTS: At least one NI suspicion criterion was present for 242 patients (23.2%); 2 criteria were present for 184 patients (17.6%); and all 3 criteria were present for 112 (11.7%). Comparison of hospital information system data to the results of the prospective study indicated that the combination of 2 criteria demonstrated the most satisfactory sensitivity (94.3%; 95% confidence interval [CI], 79.5%-99.0%) and specificity (83.6%; 95% CI, 76.8%-88.9%). The positive predictive value was 55.9% (95% CI, 42.5%-68.6%); the negative predictive value was 98.5% (95% CI, 94.2%-99.7%). The system could assign a site of infection for 90.4% of the NIs detected.
CONCLUSION: The hospital information system was a useful tool for retrospectively detecting patients with an NI during the ICU stay. Given its high sensitivity, it may be useful as an alert for the NI team.

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Year:  2006        PMID: 16671032     DOI: 10.1086/502685

Source DB:  PubMed          Journal:  Infect Control Hosp Epidemiol        ISSN: 0899-823X            Impact factor:   3.254


  13 in total

Review 1.  Diagnostic performance of electronic syndromic surveillance systems in acute care: a systematic review.

Authors:  M Kashiouris; J C O'Horo; B W Pickering; V Herasevich
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Review 2.  Economics of infection control surveillance technology: cost-effective or just cost?

Authors:  Jon P Furuno; Marin L Schweizer; Jessina C McGregor; Eli N Perencevich
Journal:  Am J Infect Control       Date:  2008-04       Impact factor: 2.918

Review 3.  Data use and effectiveness in electronic surveillance of healthcare associated infections in the 21st century: a systematic review.

Authors:  Jeroen S de Bruin; Walter Seeling; Christian Schuh
Journal:  J Am Med Inform Assoc       Date:  2014-01-13       Impact factor: 4.497

4.  Utilization of electronic medical records to build a detection model for surveillance of healthcare-associated urinary tract infections.

Authors:  Yu-Sheng Lo; Wen-Sen Lee; Chien-Tsai Liu
Journal:  J Med Syst       Date:  2013-01-17       Impact factor: 4.460

5.  Automated surveillance for central line-associated bloodstream infection in intensive care units.

Authors:  Keith F Woeltje; Anne M Butler; Ashleigh J Goris; Nhial T Tutlam; Joshua A Doherty; M Brandon Westover; Vicky Ferris; Thomas C Bailey
Journal:  Infect Control Hosp Epidemiol       Date:  2008-09       Impact factor: 3.254

6.  Classification of positive blood cultures: computer algorithms versus physicians' assessment--development of tools for surveillance of bloodstream infection prognosis using population-based laboratory databases.

Authors:  Kim O Gradel; Jenny Dahl Knudsen; Magnus Arpi; Christian Ostergaard; Henrik C Schønheyder; Mette Søgaard
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7.  Automated detection of healthcare associated infections: external validation and updating of a model for surveillance of drain-related meningitis.

Authors:  Maaike S M van Mourik; Karel G M Moons; Wouter W van Solinge; Jan-Willem Berkelbach-van der Sprenkel; Luca Regli; Annet Troelstra; Marc J M Bonten
Journal:  PLoS One       Date:  2012-12-07       Impact factor: 3.240

8.  Automated detection of external ventricular and lumbar drain-related meningitis using laboratory and microbiology results and medication data.

Authors:  Maaike S M van Mourik; Rolf H H Groenwold; Jan Willem Berkelbach van der Sprenkel; Wouter W van Solinge; Annet Troelstra; Marc J M Bonten
Journal:  PLoS One       Date:  2011-08-02       Impact factor: 3.240

Review 9.  Accuracy of administrative data for surveillance of healthcare-associated infections: a systematic review.

Authors:  Maaike S M van Mourik; Pleun Joppe van Duijn; Karel G M Moons; Marc J M Bonten; Grace M Lee
Journal:  BMJ Open       Date:  2015-08-27       Impact factor: 2.692

10.  Real-time automatic hospital-wide surveillance of nosocomial infections and outbreaks in a large Chinese tertiary hospital.

Authors:  Mingmei Du; Yubin Xing; Jijiang Suo; Bowei Liu; Na Jia; Rui Huo; Chunping Chen; Yunxi Liu
Journal:  BMC Med Inform Decis Mak       Date:  2014-01-29       Impact factor: 2.796

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