University of Sussex
Browse
1/1
3 files

Comparing conventional, biochemical and genotypic methods for accurate identification of Klebsiella pneumoniae in Sudan

Version 2 2023-06-12, 09:15
Version 1 2023-06-09, 19:48
journal contribution
posted on 2023-06-12, 09:15 authored by Einas A Osman, Nagwa El-Amin, Emad A E Adrees, Leena Al-HassanLeena Al-Hassan, Maowia Mukhtar
Klebsiella pneumoniae is recognized as one of the most important healthcare-associated pathogens worldwide due to its tendency to develop antibiotic resistance and cause fatal outcomes. Bacterial identification methods such as culture and biochemical tests are routinely used with limited accuracy in many low- and middle income countries including Sudan. The aim of this study was to test the accuracy of identification of K. pneumoniae in Khartoum, Sudan. Two hundred and fifty K. pneumoniae isolates were collected and subjected to identification by conventional phenotypical methods, biochemical using API 20E, and genotypically by amplification of 16S-23S rDNA and sequencing of rpoB, gapA, and pgi. Only 139 (55.6%) of the isolates were confirmed as K. pneumoniae genotypically by PCR and 44.4% were identified as non-K. pneumoniae. The results demonstrate that the identification panels used by the hospitals were inaccurately identifying K. pneumonia and led to over estimation of the prevalence of this organism. The current identification methods used in Khartoum hospitals are highly inaccurate, and therefore we recommend the use of a comprehensive biochemical panel or molecular methods, when possible, for accurate identification of K. pneumoniae.

History

Publication status

  • Published

File Version

  • Published version

Journal

Access Microbiology

ISSN

2516-8290

Publisher

Microbiology Society

Page range

1-4

Department affiliated with

  • Global Health and Infection Publications

Research groups affiliated with

  • Brighton and Sussex Centre for Global Health Research Publications

Full text available

  • No

Peer reviewed?

  • Yes

Legacy Posted Date

2019-12-02

First Open Access (FOA) Date

2020-02-11

First Compliant Deposit (FCD) Date

2019-11-29

Usage metrics

    University of Sussex (Publications)

    Categories

    No categories selected

    Licence

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC