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Antimicrobial susceptibility testing of Neisseria gonorrhoeae isolates in Pakistan by Etest compared to Calibrated Dichotomous Sensitivity and Clinical Laboratory Standards Institute disc diffusion techniques
Section of Pathology and Laboratory Medicine, Clinical Microbiology Aga Khan University, Karachi, Pakistan.
Section of Pathology and Laboratory Medicine, Clinical Microbiology Aga Khan University, Karachi, Pakistan.
Section of Pathology and Laboratory Medicine, Clinical Microbiology Aga Khan University, Karachi, Pakistan.
Örebro universitet, Institutionen för hälsovetenskaper. WHO, Collaborating Centre for Gonorrhoea and other STIs, Department of Laboratory Medicine, Clinical Microbiology, Örebro University Hospital, Örebro, Sweden.ORCID-id: 0000-0003-1710-2081
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2016 (engelsk)Inngår i: BMC Microbiology, E-ISSN 1471-2180, Vol. 16, nr 1, artikkel-id 236Artikkel i tidsskrift (Fagfellevurdert) Published
Abstract [en]

Background: Accurate detection of Neisseria gonorrhoeae antimicrobial resistance is essential for appropriate management and prevention of spread of infection in the community. In this study Calibrated Dichotomous Sensitivity (CDS) and Clinical Laboratory Standards Institute (CLSI) disc diffusion methods were compared with minimum inhibitory concentration (MIC) by Etest in Neisseria gonorrhoeae isolates from Karachi, Pakistan. CDS and CLSI disc diffusion techniques, and Etest for ceftriaxone, penicillin G, spectinomycin and ciprofloxacin against 100 isolates from years 2012-2014 were performed. Due to lack of CLSI breakpoints for azithromycin, it was interpreted using cut-offs from British Society of Antimicrobial Chemotherapy (BSAC). Due to lack of low concentration tetracycline discs, tetracycline was tested with CLSI disc diffusion and Etest only. Comparisons were based on the identified susceptibility, intermediate susceptibility and resistance (SIR) categories using the different methods. Complete percent agreement was percentage agreement achieved when test and reference method had identical SIR-category. Essential percent agreement was percentage agreement when minor discrepancies were disregarded.

Results: There was 100 % and 99 % overall essential agreement and 50 % versus 23 % overall complete agreement by CDS and CLSI methods, respectively, with MICs for all tested antibiotics. Using either method, there was 100 % complete agreement for ceftriaxone and spectinomycin. There was 90 % versus 86 % complete agreement for ciprofloxacin, and 60 % and 75 % for penicillin using CDS and CLSI method, respectively. Essential agreement of 99 % and complete agreement of 62 % was found for tetracycline with CLSI method. There was 100 % essential and complete agreement by CDS, BSAC and Etest for azithromycin.

Conclusion: No major errors with regard to identified SIR-categories were found for penicillin, ciprofloxacin, ceftriaxone and spectinomycin using CLSI and CDS methods. All isolates were susceptible to ceftriaxone and spectinomycin, and 99 % to azithromycin. In low-resource settings, both the CLSI and CDS disc diffusion techniques might be used for susceptibility testing of gonococcal isolates. However, these methods require considerable standardization and quality controls for adequate levels of reproducibility and correct interpretation to reflect appropriately the MIC values of the different antimicrobials. New, emerging, or rare resistance should be confirmed by MIC determination.

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London, United Kingdom: BioMed Central, 2016. Vol. 16, nr 1, artikkel-id 236
Emneord [en]
Antimicrobial surveillance, Neisseria gonorrhoeae, CDS, CLSI, Disc diffusion, Etest
HSV kategori
Identifikatorer
URN: urn:nbn:se:oru:diva-53045DOI: 10.1186/s12866-016-0707-6ISI: 000385309300001PubMedID: 27724873Scopus ID: 2-s2.0-84991236180OAI: oai:DiVA.org:oru-53045DiVA, id: diva2:1038643
Merknad

Funding Agency:

Residents Research Grant Committee of the Department of Pathology and Laboratory Medicine, Aga Khan University, Karachi, Pakistan

Tilgjengelig fra: 2016-10-19 Laget: 2016-10-19 Sist oppdatert: 2024-01-17bibliografisk kontrollert

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