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Relationships between the level of alcohol consumption and abnormality in biomarkers according to facial flushing in Korean male drinkers / Seong Gu Kim ; Jong Sung Kim ; Sung Soo Kim ; Jin Gyu Jung ; Seok Jun Yun ; Eo Chin Kim 1
[요약] 1
INTRODUCTION 1
METHODS 2
1. Subjects 2
2. Data Collection 2
3. Statistical Analysis 3
RESULTS 3
1. General Characteristics of Research Participants 3
2. The Correlation between Drinking Level per Week and Biological Markers (%CDT and rGTP) 3
3. The Cut-off Values, Sensitivity, Specificity, Positive and Negative Predictive Values, and AUROC of Alcohol Consumption per Week Required to Induce Abnormal Level of Biological Markers 4
DISCUSSION 5
CONFLICT OF INTEREST 6
REFERENCES 6
Background: This research investigated the association between facial flushing after drinking and alcohol-induced biomarker abnormalities.
Methods: This retrospective study included 374 male drinkers who visited the department of Family Medicine of Chungnam National University Hospital between January and December of 2010. The participants were classified into two groups: the flushing group (n = 107) and the non-flushing group (n = 267). The biomarkers assessed were % carbohydrate-deficient transferrin (CDT) and gamma glutamyl transferase (rGTP). The upper limits of %CDT and rGTP were set as 2.47 and 50, respectively. The receiver operating characteristic (ROC) curve was used to obtain the cut-off value for the amount of drinking that caused abnormal %CDT and rGTP levels in the two groups. The sensitivity and specificity of the cut-off drinking amount for %CDT and rGTP abnormalities were analyzed in each group.
Results: In the flushing group, the cut-off value for alcohol-induced %CDT abnormality was 3.38 drinks (1 drink: 14 g of alcohol) per week, with sensitivity of 77.8% and specificity of 70.4%. In the non-flushing group, the cut-off value was 11.25 drinks per week, with sensitivity of 62.2% and specificity of 69.6%. The cut-off value for the amount of alcohol that induced rGTP abnormality was 3.38 drinks per week in the flushing group, with sensitivity of 68.0% and specificity of 76.8%, whereas it was 8.75 drinks in the non-flushing group, with sensitivity of 71.1% and specificity of 66.7%. The area under the ROC of the drinking level was 0.726 in the flushing group and 0.684 in the non-flushing group for %CDT. For rGTP, the value was 0.738 in the flushing group and 0.718 in the non-flushing group.
Conclusion: The weekly drinking amount required to induce biomarker abnormalities was lower in the flushers than in the non-flushers.| 번호 | 참고문헌 | 국회도서관 소장유무 |
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| 1 | Ethanol oxidizing enzymes: roles in alcohol metabolism and alcoholic liver disease. ![]() |
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| 2 | ALCOHOL AND ALDEHYDE DEHYDROGENASE* ![]() |
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| 4 | Liver alcohol dehydrogenase and aldehyde dehydrogenase in the Japanese: isozyme variation and its possible role in alcohol intoxication. ![]() |
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| 5 | Overview of the role of alcohol dehydrogenase and aldehyde dehydrogenase and their variants in the genesis of alcohol-related pathology. ![]() |
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| 6 | Alcohol sensitivity and ethnic background. ![]() |
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| 7 | Ethnic variation in use and effects of alcohol ![]() |
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| 8 | Ethnic Differences in Alcohol Sensitivity ![]() |
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| 9 | Genotype of alcohol dehydrogenase and aldehyde dehydrogenase loci in Japanese alcohol flushers and nonflushers. ![]() |
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| 10 | Litten RZ, Allen JP, Fertig JB. Gamma-glutamyltranspeptidase and carbohydrate deficient transferrin: alternative measures of excessive alcohol consumption. Alcohol Clin Exp Res 1995;19:1541-6. | 미소장 |
| 11 | Comparison of Bio-Rad %CDT TIA and CDTect as laboratory markers of heavy alcohol use and their relationships with gamma-glutamyltransferase. ![]() |
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| 12 | Siemens Healthcare Diagnostics Products GmbH. N latex CDT kit. Marburg: Siemens; 2009. | 미소장 |
| 13 | Development and multicenter evaluation of the N latex CDT direct immunonephelometric assay for serum carbohydrate-deficient transferrin. ![]() |
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| 14 | Carbohydrate-deficient Transferrin as a Marker of Heavy Drinking in Korean Males | 소장 |
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| 16 | The relationship between low Km aldehyde dehydrogenase phenotype and drinking behavior in Japanese. ![]() |
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| 17 | Evaluation in Europe 2000 ![]() |
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| 22 | Carbohydrate-deficient transferrin for detection and monitoring of sustained heavy drinking ![]() |
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| 23 | Serum carbohydrate-deficient transferrin: Mechanism of increase after chronic alcohol intake ![]() |
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| 24 | Alcoholic liver disease in heterozygotes of mutant and normal aldehyde dehydrogenase-2 genes. ![]() |
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| 25 | Validation of a self-administered modified CAGE test (CAGE-C) in a somatic hospital ward: comparison with biochemical markers. ![]() |
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| 26 | Screening for excessive alcohol drinking. Comparative value of carbohydrate-deficient transferrin, gamma-glutamyltransferase, and mean corpuscular volume. ![]() |
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| 27 | Allen JP, Sillanaukee P, Strid N, Litten RZ. Assessing alcohol problems: a guide for clinicians and researchers [Internet]. 2nd ed. Bethesda: National Institute on Alcohol Abuse and Alcoholism; 2007. Screening: biomarkers of heavy drinking [cited 2012 Aug 12]. Available from: http://pubs.niaaa.nih. gov/publications/AssessingAlcohol/allen.pdf. | 미소장 |
| 28 | The Role of the Flushing Response in the Relationship Between Alcohol Consumption and Insulin Resistance ![]() |
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| 29 | Relationships Among Alcohol Consumption, Facial Flushing Response, and Metabolic Syndrome in Healthy Men ![]() |
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| 30 | Effect of alcohol consumption, cigarette smoking and flushing response on esophageal cancer risk: a population-based cohort study (JPHC study). ![]() |
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| 31 | Alcohol flushing, alcohol and aldehyde dehydrogenase genotypes, and risk for esophageal squamous cell carcinoma in Japanese men. ![]() |
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