Oligonucleotide Array and VITEK Matrix-Assisted Laser Desorption Ionization-Time of Flight Mass Spectrometry in Species Identification of Blood Yeast Isolates

Li, Ming Chi; Chang, Tsung Chain; Chen, Hung Mo; Wu, Chi Jung; Su, Shu Li; Lee, Susan S.J.; Chen, Po‐Lin; Lee, Nan Yao; Lee, Ching Chi; Li, Chia Wen; Syue, Ling Shan; Ko, Wen Chien

doi:10.3389/fmicb.2018.00051

Cited by 7 publications

(4 citation statements)

References 38 publications

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“…Analysis of these two articles revealed several factors that can explain the observed heterogeneity. We found that Li et al [23] mentioned that several isolates were identified as ‘bad spectrum during acquisition’ in the discussion of the article. We think this may affect the results of mass spectrometry to some extent.…”

Section: Discussionmentioning

confidence: 89%

“…For example, C. guilliermond i (100%), C. krusei (100%), C. dubliniensis (100%), and so on. But there were a few exceptions, like C. dubliniensis (2/3) [23] and C. rugosa (6/7) [18]. Because of too few samples, in order to ensure scientific preciseness and avoid excessive heterogeneity, we cannot verify the accuracy of MALDI-TOF-MS in these rare Candida species.…”

Section: Discussionmentioning

confidence: 99%

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Accuracy of matrix-assisted LASER desorption ionization–time of flight mass spectrometry for identification of Candida

et al. 2019

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Background: Candida is a fungus that causes various types of candidemia, which is the fourth major infectious disease of the blood system. MALDI-TOF-MS is a simple and rapid detection instrument. The aim of the present study was to verify the accuracy of MALDI-TOF-MS in detecting Candida.Method: A pooled analysis of articles on MALDI-TOF-MS for diagnosis of candidemia was performed. The quality of original research was assessed using the Quality Assessment of Diagnostic Accuracy Studies (QUADAS-2) guidelines. Stata 12.0 software was used to merge the correct identification rates of Candida and Candida subspecies and obtain pooled sensitivity and specificity of the diagnostic methods. Heterogeneity was found in the subgroup analysis of the included articles. Hence, we explored the factors causing the heterogeneity and its impact on the overall situation. Sensitivity analysis was used to examine the effect of Candida level on total response. Egger’s test was used to evaluate the publication bias of the included articles.Results: A total of 16 articles in Pubmed, 79 articles in Embase, 1 article in Cochrane Library, 30 articles in Web of Science and 3 from other sources were identified, of which 10 articles were included based on the inclusion and exclusion criteria. The overall identification accuracy was 100%.Conclusion: The accuracy of MALDI-TOF-MS for the identification of Candida was 100%. Further research is necessary to determine whether MALDI-TOF-MS can be used as a clinical diagnostic standard for the identification of Candida.

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Section: Discussionmentioning

confidence: 89%

Section: Discussionmentioning

confidence: 99%

Accuracy of matrix-assisted LASER desorption ionization–time of flight mass spectrometry for identification of Candida

et al. 2019

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“…This observation can be related to the lower patient flow through ICU, and less antibiotics used. More rapid and accurate MALDI-TOF diagnostics may help reduce the time of antibiotic exposure ( 13 ). It is expected that by reducing the total number of infections, the prevalence of Candida spp.…”

Section: Discussionmentioning

confidence: 99%

Comparison of Tracheal Aspirates in the Period Before and After the Start of the COVID-19 Pandemic in the Intensive Care Unit in a Tertiary Hospital

Jakić

2023

ACC

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SUMMARY Changes in working methods and diagnostics using matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF) diagnostics that occurred after the start of the COVID-19 pandemic could show differences in the prevalence of positive microbiological samples. In a retrospective study, a total of 442 tracheal aspirates in the pre-pandemic period (Period A, 2018, 198 patients, age median 69 (57-78)) and 277 samples in the pandemic period (Period B, 2021, 147 patients, age 68 (56-77) (p=0.585) obtained after the start of the pandemic were analyzed. A total of 176 patients had at least 1 positive result. In Period A, there were 245 (55%) and in Period B 186 (68%) sterile samples (p=0.001). The most frequently isolated pathogens were Acinetobacter baumannii in 86 patients from Period A and 32 patients from Period B, i.e., 43% vs . 21.7% of all positive isolates (p=0.247), followed by Pseudomonas aeruginosa in 29 patients in Period A (14.6%) vs . 7 (3%) (p=0.112) in Period B. A statistically significant increase was observed in the incidence of Enterobacterales (16.6% vs . 32.6%, p=0.002), especially Klebsiellae spp. Although overall mortality decreased in Period B, changes in the working methods and diagnostics did not result in changes in the mortality of patients whose tracheal aspirates were sampled.

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“…The literature search, study selection and collective expert evaluation will be repeated every 6 months. Denis et al (2018), Gaisne et al (2018), Li et al (2018), Mount et al (2018), Musatti et al (2018), Mixao and Gabaldon (2018), Robledo-Leal et al (2018), Rosenberg et al (2018), Scott et al (2018), Steenkamp et al (2018), Steenkamp et al (2018), Phadke et al (2018), Sivamaruthi (2018), Wayakanon et al (2018) Relevant to the QPS exercise…”

Section: B6mentioning

confidence: 99%

Update of the list of QPS‐recommended biological agents intentionally added to food or feed as notified to EFSA 9: suitability of taxonomic units notified to EFSA until September 2018

Koutsoumanis¹,

Allende²,

Álvarez‐Ordóñez³

et al. 2019

EFS2

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The qualified presumption of safety (QPS) procedure was developed to provide a harmonised generic pre‐evaluation to support safety risk assessments of biological agents performed by EFSA's Scientific Panels. The taxonomic identity, body of knowledge, safety concerns and antimicrobial resistance were assessed. Safety concerns identified for a taxonomic unit are, where possible and reasonable in number, reflected by ‘qualifications’ which should be assessed at the strain level by the EFSA's Scientific Panels. During the current assessment, no new information was found that would change the previously recommended QPS taxonomic units and their qualifications. Between April and September 2018, the QPS notification list was updated with 48 microorganisms from applications for market authorisation. Of these, 30 biological agents already had QPS status, 15 were excluded from the QPS exercise by the previous QPS mandate (five filamentous fungi) or from further evaluations within the current mandate (two notifications of Enterococcus faecium, one of Streptomyces spp. and seven of Escherichia coli). One taxonomic unit was (re)evaluated: Pseudomonas fluorescens had been previously evaluated in 2016, and was now re‐evaluated within this mandate. The revision of the literature supports the previously identified safety concerns (e.g. production of biocompounds with antimicrobial activity and virulence features), preventing the inclusion of P. fluorescens in the QPS list. Mycobacterium setense and Komagataeibacter sucrofermentans were evaluated for the first time. M. setense cannot be considered for the QPS assessment because there are significant safety concerns. K. sucrofermentans (Acetobacter xylinus subsp. sucrofermentans) can be proposed for the QPS list but only for production purposes. The QPS status of Corynebacterium glutamicum is confirmed with the qualification extended to other production purposes.

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Oligonucleotide Array and VITEK Matrix-Assisted Laser Desorption Ionization-Time of Flight Mass Spectrometry in Species Identification of Blood Yeast Isolates

Cited by 7 publications

References 38 publications

Accuracy of matrix-assisted LASER desorption ionization–time of flight mass spectrometry for identification of Candida

Accuracy of matrix-assisted LASER desorption ionization–time of flight mass spectrometry for identification of Candida

Comparison of Tracheal Aspirates in the Period Before and After the Start of the COVID-19 Pandemic in the Intensive Care Unit in a Tertiary Hospital

Update of the list of QPS‐recommended biological agents intentionally added to food or feed as notified to EFSA 9: suitability of taxonomic units notified to EFSA until September 2018

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