Erratum to: A new concept and a comprehensive evaluation of SYSMEX UF-1000i flow cytometer to identify culture-negative urine specimens in patients with UTI

Erratum to: A new concept and a comprehensive evaluation of SYSMEX UF-1000i flow cytometer to... Eur J Clin Microbiol Infect Dis (2017) 36:1705 DOI 10.1007/s10096-017-3059-8 ERRATUM Erratum to: A new concept and a comprehensive evaluation of SYSMEX UF-1000i flow cytometer to identify culture-negative urine specimens in patients with UTI 1 2,3 T. Monsen & P. Ryden Published online: 15 July 2017 Springer-Verlag GmbH Germany 2017 Erratum to: Eur J Clin Microbiol Infect Dis patients were included. In- and outpatients represented DOI 10.1007/s10096-017-2964-1 19.6% and 79.4%, respectively; 68.3% of the specimens originated from women. Of the 610 culture-positive spec- The original version of this article unfortunately contains an imens, Escherichia coli represented 64%, enterococci 8% error in the abstract. The corrected abstract is published below. and Klebsiella spp. 7%. Screening with FCA-LDA at 95% sensitivity identified 42% (552/1312) as culture negative specimens when UTI was defined according to European Abstract Urinary tract infections (UTIs) are among the guidelines. The proposed screening method was either su- most common bacterial infections in men and urine cul- perior or similar in comparison to the three conventional ture is gold standard for diagnosis. Considering the high screening methods. In conclusion, the proposed/suggested prevalence of culture-negative specimens, any method that and new FCA-LDA screening method was superior or identifies such specimens is of interest. The aim was to similar to three conventional screening methods. We rec- evaluate a new screening concept for flow cytometry anal- ommend the proposed screening method to be used in ysis (FCA). The outcomes were evaluated against urine culture, uropathogen species and three conventional clinic to exclude culture negative specimens, to reduce workload, costs and the turnaround time. In addition, the screening methods. A prospective, consecutive study ex- FCA data may add information that enhance handling and amined 1,312 urine specimens, collected during January support diagnosis of patients with suspected UTI pending and February 2012. The specimens were analyzed using urine culture. the Sysmex UF1000i FCA. Based on the FCA data culture negative specimens were identified in a new model by use The original article has been corrected. of linear discriminant analysis (FCA-LDA). In total 1,312 The online version of the original article can be found at http://dx.doi. org/10.1007/s10096-017-2964-1 * T. Monsen tor.monsen@climi.umu.se Department of Clinical Microbiology, Umeå University Hospital, and University of Umeå, SE-90185 Umeå, Sweden Department of Mathematics and Mathematical Statistics, Umeå University, Umeå, Sweden Computational Life science Cluster (CLiC), Umeå University, Umeå, Sweden http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png European Journal of Clinical Microbiology Infectious Diseases Springer Journals

Erratum to: A new concept and a comprehensive evaluation of SYSMEX UF-1000i flow cytometer to identify culture-negative urine specimens in patients with UTI

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Publisher
Springer Berlin Heidelberg
Copyright
Copyright © 2017 by Springer-Verlag GmbH Germany
Subject
Biomedicine; Medical Microbiology; Internal Medicine
ISSN
0934-9723
eISSN
1435-4373
D.O.I.
10.1007/s10096-017-3059-8
Publisher site
See Article on Publisher Site

Abstract

Eur J Clin Microbiol Infect Dis (2017) 36:1705 DOI 10.1007/s10096-017-3059-8 ERRATUM Erratum to: A new concept and a comprehensive evaluation of SYSMEX UF-1000i flow cytometer to identify culture-negative urine specimens in patients with UTI 1 2,3 T. Monsen & P. Ryden Published online: 15 July 2017 Springer-Verlag GmbH Germany 2017 Erratum to: Eur J Clin Microbiol Infect Dis patients were included. In- and outpatients represented DOI 10.1007/s10096-017-2964-1 19.6% and 79.4%, respectively; 68.3% of the specimens originated from women. Of the 610 culture-positive spec- The original version of this article unfortunately contains an imens, Escherichia coli represented 64%, enterococci 8% error in the abstract. The corrected abstract is published below. and Klebsiella spp. 7%. Screening with FCA-LDA at 95% sensitivity identified 42% (552/1312) as culture negative specimens when UTI was defined according to European Abstract Urinary tract infections (UTIs) are among the guidelines. The proposed screening method was either su- most common bacterial infections in men and urine cul- perior or similar in comparison to the three conventional ture is gold standard for diagnosis. Considering the high screening methods. In conclusion, the proposed/suggested prevalence of culture-negative specimens, any method that and new FCA-LDA screening method was superior or identifies such specimens is of interest. The aim was to similar to three conventional screening methods. We rec- evaluate a new screening concept for flow cytometry anal- ommend the proposed screening method to be used in ysis (FCA). The outcomes were evaluated against urine culture, uropathogen species and three conventional clinic to exclude culture negative specimens, to reduce workload, costs and the turnaround time. In addition, the screening methods. A prospective, consecutive study ex- FCA data may add information that enhance handling and amined 1,312 urine specimens, collected during January support diagnosis of patients with suspected UTI pending and February 2012. The specimens were analyzed using urine culture. the Sysmex UF1000i FCA. Based on the FCA data culture negative specimens were identified in a new model by use The original article has been corrected. of linear discriminant analysis (FCA-LDA). In total 1,312 The online version of the original article can be found at http://dx.doi. org/10.1007/s10096-017-2964-1 * T. Monsen tor.monsen@climi.umu.se Department of Clinical Microbiology, Umeå University Hospital, and University of Umeå, SE-90185 Umeå, Sweden Department of Mathematics and Mathematical Statistics, Umeå University, Umeå, Sweden Computational Life science Cluster (CLiC), Umeå University, Umeå, Sweden

Journal

European Journal of Clinical Microbiology Infectious DiseasesSpringer Journals

Published: Jul 15, 2017

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