The first imported case of melioidosis in a patient in central China

et al. 2020

BMC Microbiol

Self Cite

Background To evaluate the accuracy and performance of the Autof MS1000 mass spectrometer in bacteria and yeast identification, 2342 isolates were obtained from microbial cultures of clinical specimens (e.g. blood, cerebrospinal fluid, respiratory tract samples, lumbar puncture fluid, wound samples, stool, and urine) collected in 2019 in Henan Provincial People’s Hospital. Repetitive strains from the same patient were excluded. We tested the Autof MS1000 and Bruker Biotyper mass spectrometry systems and the classical biochemical identification system VITEK 2/API 20C AUX. Inconsistencies in strain identification among the three systems were identified by 16S rDNA and gene sequencing. Results At the species level, the Autof MS1000 and Bruker Biotyper systems had isolate identification accuracies of 98.9 and 98.5%, respectively. At the genus level, the Autof MS1000 and Bruker Biotyper systems were 99.7 and 99.4% accurate, respectively. The instruments did not significantly differ in identification accuracy at either taxonomic level. The frequencies of unreliable identification were 1.1% (26/2342) for the Autof MS1000 and 1.5% (34/2342) for the Bruker Biotyper. In vitro experiments demonstrated that the coincidence rate of the Autof MS1000 mass spectrometer in the identification of five types of bacteria was > 93%, the identification error rate was < 3%, and the no identification rate was 0. This indicates that the Autof MS1000 system is acceptable for identification. Conclusions The Autof MS1000 mass spectrometer can be utilised to identify clinical isolates. However, an upgradation of the database is recommended to correctly identify rare strains.

Section: Resultsmentioning

confidence: 99%

Section: Failure Ratesmentioning

confidence: 99%

Evaluation of the Autof MS1000 mass spectrometer in the identification of clinical isolates

et al. 2020

BMC Microbiol

Self Cite

“…The two strains of Burkholderia pseudomallei were identified correctly by the Autof MS 1000 and the Bruker instrument failed to identify. Burkholderia pseudomallei can cause pseudo necrosis of important clinical significance, and the recommended treatment period is 3-6 months [5], this is the major error and should be noted. Most of the other identification errors belongs to the identification of minor errors, such as Citrobacter freundii erroneously identified as Citrobacter braakii, Raoultella planticola incorrectly identified as Raoultella ornithinolytica, Staphylococcus haemolyticus incorrectly identified as Staphylococcus hominis (Table 1).…”

Section: Failure Ratesmentioning

confidence: 99%

“…The 229 strains of Gram-Negative Enterobacteriaceae, Non-Enterobacteriaceae, Gram-Negative fastidious, Gram-Positive Aerobic, Anaerobic, Yeasts and Yeast-like that meet the document requirements were selected to evaluate, according to the in vitro performance verification of commercial instruments recommended by CLSI M52 standard [5]. Based on the gold standard of final results, the Agreement, Discrepant and No identification of the two mass spectrometers were calculated.The Agreement values of two mass spectrometers were more than 93%, the Discrepant were less than 3%, and No identification were less than 2% ( Figure 3, Table S3), and all of these were acceptable values.…”

Section: Performance Verificationmentioning

confidence: 99%

Evaluation of the Autof MS 1000 mass spectrometer for identification of clinical isolates

Zhang

et al. 2020

Preprint

Self Cite

Background: To evaluate the accuracy and performance of Autof MS 1000 mass spectrometer in bacterial and yeasts identification., a total of 2342 isolates were routinely obtained from microbial cultures of clinical specimens (i.e., blood, cerebrospinal fluid, respiratory tract, Puncture fluid, wound, stool and urine) from January to December 2019 in Henan Provincial People’s Hospital. Then, the repetitive strains of the same patient were excluded. The two mass spectrometry methods by Autof MS 1000 and Bruker biotyper systems and the classical biochemical VITEK 2/API 20C AUX Systems testing were used for analysis. The strains with different results by the above three test methods were identified by 16S rDNA and other specific genes sequencing.Results: The accuracies of isolates identification at species level by Autof MS 1000 and Bruker biotyper systems were 98.9% and 98.5%, respectively. The genus level by Autof MS 1000 and Bruker biotyper systems were 99.7% and 99.4%, respectively. The Autof instrument was not significantly different from the Bruker instrument in identification accuracy at both the species and genus levels. The frequencies of unreliable identification were 1.1% (26/2342) for Autof ms1000 and 1.5% (34/2342) for Bruker biotyper, respectively. The results of in vitro experiments demonstrated that the coincidence rate of the Autof ms1000 mass spectrometers in the identification for five types of bacteria is over 93%, the identification error is less than 3%, and the no identification rate is 0. It was indicated Autof ms1000 identification was an acceptable method.Conclusions: Autof MS 1000 mass spectrometer can be utilized to identify clinical isolates. An upgrade database is recommended to correctly identify rare strains.

“…The two strains of Burkholderia pseudomallei were identi ed correctly by the Autof MS1000, while the Bruker instrument failed to identify them. B. pseudomallei can cause melioidosis, making it an important strain with clinical signi cance [9,10]. This is a major error and should be noted.…”

Section: Failure Ratesmentioning

confidence: 99%

Evaluation of the Autof MS1000 mass spectrometer in the identification of clinical isolates

Zhang

et al. 2020

Preprint

Self Cite

Background: To evaluate the accuracy and performance of the Autof MS1000 mass spectrometer in bacteria and yeast identification, 2,342 isolates were obtained from microbial cultures of clinical specimens (e.g., blood, cerebrospinal fluid, respiratory tract samples, lumbar puncture fluid, wound samples, stool, and urine) collected in 2019 in Henan Provincial People’s Hospital. Repetitive strains from the same patient were excluded. We tested the Autof MS1000 and Bruker Biotyper mass spectrometry systems and the classical biochemical identification system VITEK 2/API 20C AUX. Inconsistencies in strain identification among the three systems were identified by 16S rDNA and gene sequencing.Results: At the species level, the Autof MS1000 and Bruker Biotyper systems had isolate identification accuracies of 98.9% and 98.5%, respectively. At the genus level, the Autof MS1000 and Bruker Biotyper systems were 99.7% and 99.4% accurate, respectively. The instruments did not significantly differ in identification accuracy at either taxonomic level. The frequencies of unreliable identification were 1.1% (26/2,342) for the Autof MS1000 and 1.5% (34/2,342) for the Bruker Biotyper. In vitro experiments demonstrated that the coincidence rate of the Autof MS1000 mass spectrometer in the identification of five types of bacteria was >93%, the identification error rate was <3%, and the no identification rate was 0. This indicates that the Autof MS1000 system is acceptable for identification.Conclusions: The Autof MS1000 mass spectrometer can be utilised to identify clinical isolates. However, an upgradation of the database is recommended to correctly identify rare strains.