Literature DB >> 10064217

How many nosocomial infections are missed if identification is restricted to patients with either microbiology reports or antibiotic administration?

P Gastmeier1, H Bräuer, T Hauer, M Schumacher, F Daschner, H Rüden.   

Abstract

OBJECTIVE: To investigate how many nosocomial infections would be missed if surveillance activities were restricted to patients having either microbiology reports or antibiotic administration.
DESIGN: Analysis of data from a large prevalence study on nosocomial infections (Nosocomial Infections in Germany-Surveillance and Prevention).
SETTING: A total of 14,966 patients were investigated in medical, surgical, obstetric-gynecologic, and intensive-care units of 72 German hospitals representatively selected according to size. Five hundred eighteen patients (3.5%) had at least one nosocomial infection. Microbiology reports were available for 56.6% of these patients on the prevalence day, and 86.3% received antibiotics.
RESULTS: Only 31 nosocomially infected patients (6%) would have been missed by using either microbiology reports or antibiotic treatment as an indicator. These indicators of nosocomial infections had a high diagnostic sensitivity for nosocomial pneumonia (98.8%), urinary tract infections (96.3%), and primary bloodstream infections (95.3%), but a lower sensitivity for wound infections (85.4%). Thus, 97.4% of all nosocomial infections were found with this method in intensive-care units and 96.1% in medicine units, but only 89.7% in surgical departments. In 9 (12.5%) of 72 hospitals, the overall sensitivity would have been <80% using a combination of the two indicators. For this reason, the situation in one's own hospital should be checked before using this method.
CONCLUSIONS: After checking the situation in one's own hospital, the "either-or" approach using the two indicators "microbiology report" and "antibiotic administration" can be recommended as a time-saving measure to diagnose pneumonia, urinary tract, and primary bloodstream infections. For wound infections, additional information obtained by changing dressings or participating in ward rounds is necessary to achieve satisfactory sensitivity in the surveillance of nosocomial infections. Of course, it is necessary that the surveillance staff discard all false positives to ensure a satisfactory specificity.

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Year:  1999        PMID: 10064217     DOI: 10.1086/501600

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


  5 in total

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Authors:  Shelley S Magill; Walter Hellinger; Jessica Cohen; Robyn Kay; Christine Bailey; Bonnie Boland; Darlene Carey; Jessica de Guzman; Karen Dominguez; Jonathan Edwards; Lori Goraczewski; Teresa Horan; Melodee Miller; Marti Phelps; Rebecca Saltford; Jacquelyn Seibert; Brenda Smith; Patricia Starling; Bonnie Viergutz; Karla Walsh; Mobeen Rathore; Nilmarie Guzman; Scott Fridkin
Journal:  Infect Control Hosp Epidemiol       Date:  2012-01-12       Impact factor: 3.254

Review 2.  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

3.  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

4.  Multilevel competing risk models to evaluate the risk of nosocomial infection.

Authors:  Martin Wolkewitz; Ben S Cooper; Mercedes Palomar-Martinez; Francisco Alvarez-Lerma; Pedro Olaechea-Astigarraga; Adrian G Barnett; Stephan Harbarth; Martin Schumacher
Journal:  Crit Care       Date:  2014-04-08       Impact factor: 9.097

5.  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

  5 in total

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