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Usefulness of MALDI-TOF Mass Spectrometry for Routine Identification of Candida Species in a Resource-Poor Setting

Overview of attention for article published in Mycopathologia, May 2015
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Title
Usefulness of MALDI-TOF Mass Spectrometry for Routine Identification of Candida Species in a Resource-Poor Setting
Published in
Mycopathologia, May 2015
DOI 10.1007/s11046-015-9905-2
Pubmed ID
Authors

Doudou Sow, Bécaye Fall, Magatte Ndiaye, Bissoume Sambe Ba, Khadime Sylla, Roger Tine, Aminata Collé Lô, Annie Abiola, Boubacar Wade, Thérèse Dieng, Yémou Dieng, Jean Louis Ndiaye, Christophe Hennequin, Oumar Gaye, Babacar Faye

Abstract

Identification of fungal clinical isolates is essential for therapeutic management. In resource-limited settings, identification mostly relies on biochemical tests whose sensitivity and specificity are known to be insufficient for identification of closely related or newly described species. MALDI-TOF has been shown in favored countries to be a reliable and powerful tool for microorganism identification, including yeasts. The aim of this study was to compare MALDI-TOF with routine identification procedures in a resource-poor context. A total of 734 clinical specimens (502 vaginal swabs, 147 oral swabs, 61 bronchoalveolar lavage fluids and 24 stool samples) have been tested in the mycology unit of Fann Hospital, Dakar, Senegal. Strains isolated from culture were identified by both conventional phenotypic methods (germ tube formation and biochemical panels) and MALDI-TOF Saramis/VITEK MS, bioMérieux, France. In addition to comparing the final identification, we determined the time of obtaining the results and the cost for both approaches. Overall, 218 (29.7 %) samples were positive for Candida. MALDI-TOF MS enabled the identification of 214 of the 218 strains isolated (98.1 %) at species level. Phenotypic approach yielded identification for 208 strains (95.4 %). Congruence between the tests was observed for 203 isolates. A discrepancy was observed for one isolate identified as Candida krusei with the phenotypic approach and Candida tropicalis with the MALDI-TOF. In addition, ten isolates identified at genus level by phenotypic methods were identified as C. glabrata (n = 8), C. tropicalis (n = 1) and C. parapsilosis (n = 1) by MALDI-TOF. The turnaround time for identification was <1 h using the MALDI-TOF compared to our routine procedures (48 h). The overall cost (reagents + expendables) per isolate was at 1.35<euro> for the MALDI-TOF MS. MALDI-TOF clearly outperformed the diagnosis capacities of phenotypic methods by reducing the delay of results and giving accurate identification at species level. Moreover, this approach appears to be cost-effective and should be implemented especially in resource-poor context.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
France 1 3%
Unknown 34 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 26%
Researcher 5 14%
Student > Bachelor 3 9%
Other 2 6%
Student > Master 2 6%
Other 4 11%
Unknown 10 29%
Readers by discipline Count As %
Medicine and Dentistry 6 17%
Biochemistry, Genetics and Molecular Biology 5 14%
Agricultural and Biological Sciences 4 11%
Immunology and Microbiology 2 6%
Pharmacology, Toxicology and Pharmaceutical Science 1 3%
Other 4 11%
Unknown 13 37%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 29 May 2015.
All research outputs
#20,274,720
of 22,807,037 outputs
Outputs from Mycopathologia
#881
of 1,074 outputs
Outputs of similar age
#222,918
of 266,679 outputs
Outputs of similar age from Mycopathologia
#12
of 17 outputs
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We're also able to compare this research output to 17 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.