BACKGROUND: In the Korean Red Cross Blood Center, ABO blood typing are routinely performed only via red cell grouping at blood donations sites. However, when an error occurs in this process, it is impossible to issue a blood product contrary to the result of the blood type of the Blood Laboratory Center, thereby resulting in delayed supply. Therefore, efforts are needed to reduce typing errors at blood donation sites. METHODS: We analyzed 656,786 donor screenings between January 1, 2016 and December 31, 2016;we also analyzed the statistical data of donor ABO typing between 2013 and 2015. To reduce ABO typing error, we notified and trained nurses at Busan, Gyeongnam, Ulsan, and Daegu-Gyeongbuk Blood centers in June, 2016. We tried to confirm the improvement of ABO typing error at blood donation sites by comparing ABO typing before and after training. For data comparison, chi-square test was conducted (95% confidence interval, 0.05 significant level). RESULTS: The blood typing error rate was significantly lower (P=0.003) four months after training (0.005%) than before training (0.015%), and the blood typing error rate was significantly higher for the first blood donor (P<0.001). CONCLUSION: Educational training for nurses at blood donation sites may be effective in reducing ABO typing error. Continuous and regular training seems to be needed in future to reduce ABO typing error.
Blood Donors* ; Blood Grouping and Crossmatching* ; Busan ; Donor Selection ; Humans ; Red Cross ; Tissue Donors ; Ulsan

BACKGROUND: Because of the long time required for conventional drug susceptibility test (DST) for rifampin and isoniazid, development of rapid DSTs is necessary. Recently, the AdvanSure(TM) MDR-TB GenoBlot Assay kit (LG Life Science, Korea), using reverse hybridization line blot assay, was developed. We compared this kit with Genotype(R) MTBDRplus (HAIN Lifescience, Germany) and conventional DST. METHODS: Of the DNAs preserved after performing DST by using Genotype(R), we selected 144 samples having conventional DST results. The experiments with both the kits were performed according to the manufacturers' instructions. For the samples for which discrepant results were obtained, sequencing was performed if the DNA was available. Conventional DST was performed at the Korean Institute of Tuberculosis by using the absolute concentration method. RESULTS: For rifampin, the findings obtained using both the kits were the same with concordance rates of 98.6% (142/144) compared to conventional DST. Of the 2 discrepant findings, one was very major error and the other was major error. For isoniazid, compared to conventional DST, concordance rates of AdvanSure(TM) and Genotype(R) were 95.8%(138/144) and 95.1%(137/144) respectively. Of the 6 discrepant findings between conventional method and Advansure(TM), 5 were very major error and one was major error. All the 7 discrepant findings between conventional method and Genotype(R) were very major error. CONCLUSIONS: The findings obtained using AdvanSure(TM) showed high concordance with those obtained using Genotype(R) and conventional DST. This kit has a higher rate of detection of isoniazid resistance because it includes probes for an additional target (ahpC).
Biological Science Disciplines ; Chimera ; DNA ; Isoniazid ; Rifampin ; Tuberculosis

BACKGROUND: Measurement of HbA1c levels is widely used to diagnose diabetes mellitus and to evaluate and monitor plasma-glucose concentrations over 6-8 weeks. In this study, we evaluated the diagnostic performance of the newly developed latex immunoturbidimetric method by using Autolab HbA1c. METHODS: We analyzed and compared the diagnostic performance of Autolab HbA1c with that of Toshiba 200FR between April 2009 and July 2009. According to guidelines (EP5-A2, EP6-P, EP9-A2) of the clinical and laboratory standards institute (CLSI), we compared linearity, precision and correlation of Autolab HbA1c with those of G7 (Tosoh Corp., Kyoto, Japan) by using high-performance liquid chromatography (HPLC) method. RESULTS: Data obtained using Autolab HbA1c showed good linearity in mixtures of samples with low (3.1%) and high (15.1%) levels of HbA1c (r2 = 0.9997). In the analysis of within-run precision of the samples with HbA1c levels of 5.1% and 12.1%, the SDs were 0.04 and 0.06 and covariances of these samples were 0.8% and 0.5%, respectively. In the Deming regression model, the regression equation was as follows: Autolab HbA1c = 1.0859xTosoh HPLC-0.6957. CONCLUSIONS: In this study, Autolab HbA1c method showed better performance characteristics than Tosoh G7 did. In reference review, there was no interference of variant hemoglobin. The data acquisition time of Autolab HbA1c was lower than that of Tosoh G7. The advantages of Autolab HbA1c are that it can be used as an autoanlyzer in routine chemical analysis, it does not require pre-analytical treatment, and the samples are automatically treated with distilled water for hemolysis.
Chromatography, High Pressure Liquid ; Chromatography, Liquid ; Diabetes Mellitus ; Hemoglobins ; Hemolysis ; Latex ; Organothiophosphorus Compounds ; Water

BACKGROUND: Screening for healthy blood donors through donor interviews is essential to the safety of donors and blood resources. Our goal was to suggest educational material for donor interviewers and donors, as well as supplemental material for interview sites, which will help provide an effective interview process. METHODS: We conducted surveys regarding experiences in donor interviews from donor interviewers and cognitive interviews about difficulties during interview from blood donors between September and October of 2015. We additionally conducted a post-survey about provided educational and supplemental materials between December 2015 and January 2016. RESULTS: The possibility of an incorrect answer in the donor history questionnaire (DHQ) was high for questions about sexual contact, imprisonment, or medication, and the reasons were incorrect memories, ignorance about donor interview, or protection of privacy. Cognitive interviews of donors revealed questions and terminology that are difficult to understand. Donor interviewers could obtain improved understanding of the DHQ through educational materials, which were found to be useful for new interviewers or donors. Use of a supplemental flip book for the interview process was found to be useful, especially for blood centers with small blood donations. CONCLUSION: This study investigated difficulties in the donor interview from the perspective of donor interviewers and donors and suggested educational and supplemental materials to address these difficulties. These materials will induce correct and honest answers from blood donors through education and guidance about the donor interview process and help secure the safety of blood products.
Blood Donors* ; Cognition ; Education ; Humans ; Mass Screening ; Privacy ; Tissue Donors*

BACKGROUND: Hematology analyzers may ineffectively recognize abnormal cells, and manual differential counts may be imprecise for leukopenic samples. We evaluated the efficacy of the Hematoflow method for determining the leukocyte differential in leukopenic samples and compared this method with the manual differential method. METHODS: We selected 249 blood samples from 167 patients with leukopenia (WBC counts, 500-2,000/microL) for analysis in this study. The EDTA-anticoagulated blood samples were analyzed using an automatic blood cell counter (DxH800; Beckman Coulter, USA) and flow cytometry (FC 500; Beckman Coulter) by using Cytodiff reagent and analysis software (Beckman Coulter). Hematoflow results were selected or calculated from DxH800 and Cytodiff results. Two trained pathologists performed a manual differential count by counting 50-100 cells. RESULTS: The precision of the Hematoflow method was superior to that of the manual method in counting 5 leukocyte subpopulations, immature granulocytes (IGs), and blasts. Blasts were detected in all 45 cases (100%) by Hematoflow. The correlation of the Cytodiff blast count to the reference count was high (r = 0.8325). For all other cell populations, the correlation of the Hematoflow results with the reference count was stronger than that of the other manual counts with the reference count. CONCLUSIONS: The Hematoflow differential counting method is more reproducible and sensitive than manual counting, and is relatively easy to perform. In particular, this method detected leukemic blasts more sensitively than manual differential counts. The Hematoflow method is a very useful supplement to automated cell counting.
Adolescent ; Adult ; Aged ; Child ; Child, Preschool ; Female ; Flow Cytometry/*methods ; Granulocytes/cytology ; Humans ; Infant ; Leukocyte Count/*methods ; Leukocytes/*cytology ; Leukopenia/*blood/diagnosis ; Male ; Middle Aged ; Reagent Kits, Diagnostic ; Software

BACKGROUND: Hematology analyzers may ineffectively recognize abnormal cells, and manual differential counts may be imprecise for leukopenic samples. We evaluated the efficacy of the Hematoflow method for determining the leukocyte differential in leukopenic samples and compared this method with the manual differential method. METHODS: We selected 249 blood samples from 167 patients with leukopenia (WBC counts, 500-2,000/microL) for analysis in this study. The EDTA-anticoagulated blood samples were analyzed using an automatic blood cell counter (DxH800; Beckman Coulter, USA) and flow cytometry (FC 500; Beckman Coulter) by using Cytodiff reagent and analysis software (Beckman Coulter). Hematoflow results were selected or calculated from DxH800 and Cytodiff results. Two trained pathologists performed a manual differential count by counting 50-100 cells. RESULTS: The precision of the Hematoflow method was superior to that of the manual method in counting 5 leukocyte subpopulations, immature granulocytes (IGs), and blasts. Blasts were detected in all 45 cases (100%) by Hematoflow. The correlation of the Cytodiff blast count to the reference count was high (r = 0.8325). For all other cell populations, the correlation of the Hematoflow results with the reference count was stronger than that of the other manual counts with the reference count. CONCLUSIONS: The Hematoflow differential counting method is more reproducible and sensitive than manual counting, and is relatively easy to perform. In particular, this method detected leukemic blasts more sensitively than manual differential counts. The Hematoflow method is a very useful supplement to automated cell counting.
Adolescent ; Adult ; Aged ; Child ; Child, Preschool ; Female ; Flow Cytometry/*methods ; Granulocytes/cytology ; Humans ; Infant ; Leukocyte Count/*methods ; Leukocytes/*cytology ; Leukopenia/*blood/diagnosis ; Male ; Middle Aged ; Reagent Kits, Diagnostic ; Software

In recent years, next-generation sequencing (NGS)–based genetic testing has become crucial in cancer care. While its primary objective is to identify actionable genetic alterations to guide treatment decisions, its scope has broadened to encompass aiding in pathological diagnosis and exploring resistance mechanisms. With the ongoing expansion in NGS application and reliance, a compelling necessity arises for expert consensus on its application in solid cancers. To address this demand, the forthcoming recommendations not only provide pragmatic guidance for the clinical use of NGS but also systematically classify actionable genes based on specific cancer types. Additionally, these recommendations will incorporate expert perspectives on crucial biomarkers, ensuring informed decisions regarding circulating tumor DNA panel testing.

In recent years, next-generation sequencing (NGS)–based genetic testing has become crucial in cancer care. While its primary objective is to identify actionable genetic alterations to guide treatment decisions, its scope has broadened to encompass aiding in pathological diagnosis and exploring resistance mechanisms. With the ongoing expansion in NGS application and reliance, a compelling necessity arises for expert consensus on its application in solid cancers. To address this demand, the forthcoming recommendations not only provide pragmatic guidance for the clinical use of NGS but also systematically classify actionable genes based on specific cancer types. Additionally, these recommendations will incorporate expert perspectives on crucial biomarkers, ensuring informed decisions regarding circulating tumor DNA panel testing.