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Volume 43(3); July 2020

Original Articles

[English]
Performance of Xpert Carba-R Assay for Identification of Carbapenemase Gene in the Clinical Microbiology Laboratory
Hae-Sun Chung, Naery Yang, Yihyeon Kim, Miae Lee, Sholhui Park
Ewha Med J 2020;43(3):39-42.   Published online July 31, 2020
DOI: https://doi.org/10.12771/emj.2020.43.3.39
Objectives

The Xpert Carba-R Assay is a diagnostic test designed for the rapid detection and differentiation of the blaKPC, blaNDM, blaVIM, blaOXA-48, and blaIMP-1 genes. We verified the performance of Xpert Carba-R Assay for identification of carbapenemase gene in the clinical microbiology laboratory.

Methods

The analytical limit of detection was determined with two suspensions of carbapenemase-producing Enterobacteriaceae (CPE) isolates (KPC and NDM). A total of 52 specimens were evaluated: 21 bacterial isolates from clinical specimens, 21 rectal swabs, and 10 contrived stool specimens.

Results

In bacterial isolates, concordant results between the Xpert Carba-R Assay and PCR were found in 20 of 21; 8 KPC, 8 NDM, 1 IMP, and 2 multiple carbapenamase genes (KPC/NDM, NDM/OXA) were detected both by Xpert Carba-R Assay and PCR. In one GES-positive isolate, Xpert Carba-R Assay showed a negative result as expected. One VIM-positive isolate tested negative by Xpert Carba-R Assay. Complete concordance was seen in rectal swab specimens: 4 specimens with KPC and 17 specimens with negative results both by Xpert Carba-R Assay and surveillance culture. Among the 10 contrived stool specimens, Xpert Carba-R Assay detected carbapenemase genes in 9 specimens as expected according to the CPE strains spiked into the contrived stool; 2 KPC, 4 NDM, 1 IMP, and 2 multiple carabapenamase genes (NDM/KPC, NDM/OXA). One VIM-positive specimen tested negative by Xpert Carba-R Assay.

Conclusion

In conclusion, the Xpert Carba-R Assay can be used to identify carbapenemase gene in bacterial isolates cultured from clinical specimens and detect CPE carrier using rectal swab in clinical laboratories.

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[English]
Application of Six Sigma Metrics to Improve Quality Control for Point-of-care Glucose Testing
Sholhui Park, Wookeun Lee, Tae-Dong Jeong, Hae-Sun Chung, Ki-Sook Hong
Ewha Med J 2020;43(3):43-48.   Published online July 31, 2020
DOI: https://doi.org/10.12771/emj.2020.43.3.43
Objectives

Six sigma is a quality management system for the assessment of precision and accuracy. We aim to apply the six sigma rule to quality control (QC) of point-of-care (POC) glucose meters in a tertiary hospital.

Methods

Thirty POC glucose meters installed at Ewha Womans University Mokdong Hospital were monitored between January 2013 and March 2014. The QC data from the POC glucose meters at low and high levels were collected. The monthly mean, standard deviation, bias, coefficient of variation, and mean sigma metrics were calculated. The correlation between accuracy and precision was assessed based on the percentage bias and coefficient of variation. Comprehensive instructions on the QC and maintenance of the devices were provided in the departments with poor sigma scores. A follow-up assessment was performed after the intervention.

Results

The mean sigma values for the low and high controls were 3.29 and 3.71, respectively. At the low and high controls, 36.6% and 10% of the glucose meters showed a sigma value <3. The causes of low sigma values included the use of expired control materials, prolonged air exposure of the sample strip, lack of user training, and errors in device maintenance. On follow-up monitoring for 3 months following QC intervention, 23.3% (low control) and 6.6% (high control) of the glucose meters scored a sigma value <3, indicating improved QC.

Conclusion

Sigma metrics-based QC can successfully improve accuracy and precision of POC glucose meters in an objective and quantitative manner and can be used for follow up after QC intervention.

Citations

Citations to this article as recorded by  
  • Analysis of hematology quality control using six sigma metrics
    Shreya Goel, Amit R. Nisal, Ankita Raj, Ravindra C. Nimbargi
    Indian Journal of Pathology and Microbiology.2024; 67(2): 332.     CrossRef
  • Potential use of Six Sigma metrics in the quality control review of hospital glucose meters
    Yun Huang, Callie Loveday, Anne Vincent
    Heliyon.2024; 10(17): e36651.     CrossRef
  • Development of a Systematic Quality Control Program for Point-of-Care Glucose Testing
    Yong Hun Jo, Sooin Choi, Jae Joon Lee, Jeong Gwon Kim, Yong-Wha Lee
    Journal of Laboratory Medicine and Quality Assurance.2023; 45(3): 107.     CrossRef
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  • 3 Crossref
Case Report
[English]
Anesthetic Management during Electroconvulsive Therapy
You Bin Jo, Heeseung Lee, Soo In Kim, Dong Yeon Kim, Hee Jung Baik, Rack Kyung Chung
Ewha Med J 2020;43(3):49-52.   Published online July 31, 2020
DOI: https://doi.org/10.12771/emj.2020.43.3.49

Some patients with depression require electroconvulsive therapy performed under general anesthesia. This requires rapid loss of consciousness, with minimal interference from seizure activity, appropriate muscle relaxation status, prevention of hyperdynamic responses to the electrical stimulus, and proper recovery of spontaneous ventilation and consciousness. The authors report the first case of electroconvulsive therapy performed with the patient under general anesthesia at the Ewha Womans University Medical Center, Korea.

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