Diagnostic Usefulness of Korean Standard on Heavy Drinking for the DSM-5 Alcohol Use Disorder

BACKGROUND: This research investigated the usefulness of heavy drinking standards of ‘guidelines for moderate alcohol drinking amount for Koreans’ for diagnosis of Diagnostic and Statistical Manual of Mental Disorders 5th edition (DSM-5) alcohol use disorder. METHODS: This retrospective study was conducted with 976 adults who visited an health screening center in Daejeon for health check-up in 2015. Daily drinking amount, drinking frequency per week, and weekly drinking amount were investigated. Using the heavy drinking criteria of Korean guideline, participants were grouped by age and gender and classified as normal or heavy drinkers. The sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), Positive likelihood ratio (LR+), Negative likelihood ratio (LR-), odds ratio (OR) and Youden's Index of heavy drinking according to Korean guideline for diagnosis of DSM-5 alcohol use disorder were calculated. RESULTS: The Area under the receiver operating characteristic (ROC) curve of a model screening DSM-5 alcohol use disorder by weekly drinking amount were 0.812 in males up to age 65 years and 0.931 in males over age 65 years and females respectively. The sensitivity, specificity, PPV and NPV of Korean guideline heavy drinking group for diagnosis of DSM-5 alcohol use disorder were 61.0%, 89.7%, 67.0%, and 87.05% respectively. The LR+, LR-, OR and Youden's Index of those were 5.917 (4.704-7.435), 0.434 (0.379-0.497), 13.623 (9.607-19.317), and 0.507 respectively. CONCLUSIONS: This research shows the Korean heavy drinking standard is useful for diagnosis of DSM-5 alcohol use disorder in Korean people.

Usefulness of Heavy Drinking and Binge Drinking for the Diagnosis of Alcohol Use Disorder / 가정의학회지

BACKGROUND: This research investigated the sensitivity and specificity of heavy and binge drinking for screening of alcohol use disorder. METHODS: This retrospective study was conducted with 976 adults who visited the Sun Health Screening Center for health screenings in 2015. Daily drinking amount, drinking frequency per week, and weekly drinking amount were investigated. Using criteria from the National Institute on Alcohol Abuse and Alcoholism, participants were classified as normal drinkers, heavy drinkers, or binge drinkers, and grouped by age and sex. The sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) of heavy and binge drinking were compared for the diagnosis of alcohol abuse and alcohol dependence using the Diagnostic and Statistical Manual of Mental Disorders (DSM) 4th edition-text revision and alcohol use disorder using the DSM 5th edition. RESULTS: The sensitivity of heavy and binge drinking for the diagnosis of alcohol abuse, alcohol dependence, and alcohol use disorder were 51.7%, 43.8%, and 35.3%, and 69.0%, 62.5%, and 48.2%, respectively. The specificity of these were 90.1%, 91.7%, and 95.5%, and 84.3%, 86.8%, and 91.2%, respectively. The PPV of these were 24.8%, 40.5%, and 72.7%, and 21.7%, 38.0%, and 65.2%, respectively. The NPV of these were 96.7%, 92.6%, and 81.2%, and 97.8%, 94.7%, and 83.7%, respectively. CONCLUSION: Heavy and binge drinking did not show enough diagnostic power to screen DSM alcohol use disorder although they did show high specificity and NPV.

Relationships between the Level of Alcohol Consumption and Abnormality in Biomarkers According to Facial Flushing in Korean Male Drinkers / 가정의학회지

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.

Utility of the Alcohol Consumption Questions in the Alcohol Use Disorders Identification Test for Screening At-Risk Drinking and Alcohol Use Disorders among Korean College Students / 가정의학회지

BACKGROUND: This study evaluated the utility of the Alcohol Use Disorders Identification Test Alcohol Consumption Questions (AUDIT-C) in screening at-risk drinking and alcohol use disorders among Korean college students. METHODS: For the 387 students who visited Chungnam National University student health center, drinking state and alcohol use disorders were assessed through diagnostic interviews. In addition, Alcohol Use Disorders Identification Test (AUDIT), AUDIT-C, and cut down, annoyed, guilty, eye-opener (CAGE) were applied. The utility of the questionnaires for the interview results were compared. RESULTS: The areas under the receiver operating characteristic curves (AUROCs) of AUDIT-C for screening at-risk drinking were 0.927 in the male and 0.921 in the female participants. The AUROCs of AUDIT and CAGE were 0.906 and 0.643, respectively, in the male, and 0.898 and 0.657, respectively, in the female participants. The optimal screening scores of at-risk drinking in AUDIT-C were > or =6 in the male and > or =4 in the female participants; and in AUDIT and CAGE, > or =8 and > or =1, respectively, in the male, and > or =5 and > or =1 in the female participants. The AUROCs of AUDIT-C in screening alcohol use disorders were 0.902 in the male and 0.939 in the female participants. In the AUDIT and CAGE, the AUROCs were 0.936 and 0.712, respectively, in the male, and 0.960 and 0.844, respectively, in the female participants. The optimal screening scores of alcohol use disorders in AUDIT-C were > or =7 in the male and > or =6 in the female participants; and in AUDIT and CAGE, > or =10 and > or =1, respectively, in the male, and > or =8 and > or =1 in the female participants. CONCLUSION: AUDIT-C is considered useful in screening at-risk drinking and alcohol use disorders among college students.