1.Comparative Analysis of Clinical Samples Showing Weak Serum Reaction on AutoVue System Causing ABO Blood Typing Discrepancies.
Su Yeon JO ; Ju Mi LEE ; Hye Lim KIM ; Kyeong Hwa SIN ; Hyeon Ji LEE ; Chulhun Ludgerus CHANG ; Hyung Hoi KIM
Annals of Laboratory Medicine 2017;37(2):117-123
BACKGROUND: ABO blood typing in pre-transfusion testing is a major component of the high workload in blood banks that therefore requires automation. We often experienced discrepant results from an automated system, especially weak serum reactions. We evaluated the discrepant results by the reference manual method to confirm ABO blood typing. METHODS: In total, 13,113 blood samples were tested with the AutoVue system; all samples were run in parallel with the reference manual method according to the laboratory protocol. RESULTS: The AutoVue system confirmed ABO blood typing of 12,816 samples (97.7%), and these results were concordant with those of the manual method. The remaining 297 samples (2.3%) showed discrepant results in the AutoVue system and were confirmed by the manual method. The discrepant results involved weak serum reactions (<2+ reaction grade), extra serum reactions, samples from patients who had received stem cell transplants, ABO subgroups, and specific system error messages. Among the 98 samples showing ≤1+ reaction grade in the AutoVue system, 70 samples (71.4%) showed a normal serum reaction (≥2+ reaction grade) with the manual method, and 28 samples (28.6%) showed weak serum reaction in both methods. CONCLUSIONS: ABO blood tying of 97.7% samples could be confirmed by the AutoVue system and a small proportion (2.3%) needed to be re-evaluated by the manual method. Samples with a 2+ reaction grade in serum typing do not need to be evaluated manually, while those with ≤1+ reaction grade do.
ABO Blood-Group System/*blood
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Automation
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Blood Banks
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Blood Grouping and Crossmatching/instrumentation/*methods
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Humans
2.Prevalence of Diabetes Mellitus and Prediabetes in Dalseong-gun, Daegu City, Korea.
Jung Eun LEE ; Sung Chang JUNG ; Gui Hwa JUNG ; Sung Woo HA ; Bo Wan KIM ; Shung Chull CHAE ; Wee Hyun PARK ; Ji Sun LIM ; Jin Hoon YANG ; Sin KAM ; Byung Yeol CHUN ; Jong Yeon KIM ; Jung Jeung LEE ; Kyeong Soo LEE ; Moon Young AHN ; Young Ae KIM ; Jung Guk KIM
Diabetes & Metabolism Journal 2011;35(3):255-263
BACKGROUND: The aim of the present study was to determine the population-based prevalence of diabetes mellitus (DM) and prediabetes in a rural district of Daegu City, Korea. METHODS: Between August and November 2003, a community-based health survey of adults aged 20 years and older was performed in the rural district of Dalseong-gun in Daegu City. A total of 1,806 of all eligible individuals agreed to participate. Fasting plasma glucose was measured in all participants. Two hour oral glucose tolerance was measured in the 1,773 participants for whom there was neither an established diagnosis of DM nor evidence of DM according to fasting glucose levels. The prevalence of DM and prediabetes was determined according to the 2003 criteria of the American Diabetes Association. Subjects with prediabetes were classified into one of three categories of glucose intolerance: isolated impaired fasting glucose (IFG); isolated impaired glucose tolerance (IGT); or combined IFG and IGT. RESULTS: The prevalence of DM was 12.2%. The highest prevalence rates were observed in subjects in their seventies. A total of 34.7% of all subjects who were assigned a diagnosis of DM in the present study had not been diagnosed previously. The prevalence of prediabetes was 22.7%. The highest prevalence rates were observed in subjects in their fifties. CONCLUSION: The present study identified prevalence rates of 12.2% for DM (age-standardized prevalence rate [ASR], 6.8%), and 22.7% for prediabetes (ASR 18.5%). These results emphasize the need for community health promotion strategies to prevent or delay the onset of DM in individuals with prediabetes.
Adult
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Aged
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Diabetes Mellitus
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Fasting
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Glucose
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Glucose Tolerance Test
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Health Promotion
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Health Surveys
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Humans
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Korea
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Plasma
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Prediabetic State
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Prevalence