Literature DB >> 9090549

High frequency of pseudobacteremia at a university hospital.

J R Little1, E Trovillion, V Fraser.   

Abstract

A prospective survey of all positive blood cultures was performed during a 6-month period at a 390-bed, tertiary-care teaching hospital in St Louis, Missouri. Data were collected from the clinical microbiology laboratory, medical records, and physicians caring for patients with positive blood cultures. Of 5,732 blood cultures, 261 (4.6%) were positive, and approximately half of these (51.3%) were categorized as false positive. Positive cultures were significantly more likely to be true positives if obtained from patients with malignancies or if they became positive within the first 48 hours of incubation.

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Year:  1997        PMID: 9090549     DOI: 10.1086/647588

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


  6 in total

1.  Species-driven interpretation guidelines in case of a single-sampling strategy for blood culture.

Authors:  D Leyssene; S Gardes; P Vilquin; J-P Flandrois; G Carret; B Lamy
Journal:  Eur J Clin Microbiol Infect Dis       Date:  2011-04-18       Impact factor: 3.267

2.  Identification of the main contributors to blood culture contamination at a tertiary care academic medical center.

Authors:  Brianna Sacchetti; Justin Travis; Lisa L Steed; Ginny Webb
Journal:  Infect Prev Pract       Date:  2022-05-24

3.  A risk prediction model for screening bacteremic patients: a cross sectional study.

Authors:  Franz Ratzinger; Michel Dedeyan; Matthias Rammerstorfer; Thomas Perkmann; Heinz Burgmann; Athanasios Makristathis; Georg Dorffner; Felix Lötsch; Alexander Blacky; Michael Ramharter
Journal:  PLoS One       Date:  2014-09-03       Impact factor: 3.240

Review 4.  How to Optimize the Use of Blood Cultures for the Diagnosis of Bloodstream Infections? A State-of-the Art.

Authors:  Brigitte Lamy; Sylvie Dargère; Maiken C Arendrup; Jean-Jacques Parienti; Pierre Tattevin
Journal:  Front Microbiol       Date:  2016-05-12       Impact factor: 5.640

5.  Machine learning for fast identification of bacteraemia in SIRS patients treated on standard care wards: a cohort study.

Authors:  Franz Ratzinger; Helmuth Haslacher; Thomas Perkmann; Matilde Pinzan; Philip Anner; Athanasios Makristathis; Heinz Burgmann; Georg Heinze; Georg Dorffner
Journal:  Sci Rep       Date:  2018-08-15       Impact factor: 4.379

6.  The characteristics of bacteremia among patients with acute febrile illness requiring hospitalization in Indonesia.

Authors:  Pratiwi Soedarmono; Aly Diana; Patricia Tauran; Dewi Lokida; Abu Tholib Aman; Bachti Alisjahbana; Dona Arlinda; Emiliana Tjitra; Herman Kosasih; Ketut Tuti Parwati Merati; Mansyur Arif; Muhammad Hussein Gasem; Nugroho Harry Susanto; Nurhayati Lukman; Retna Indah Sugiyono; Usman Hadi; Vivi Lisdawati; Karine G Fouth Tchos; Aaron Neal; Muhammad Karyana
Journal:  PLoS One       Date:  2022-09-08       Impact factor: 3.752

  6 in total

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