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Research ArticleOriginal Article

Carbohydrate-Deficient Transferrin: Validity of a New Alcohol Biomarker in a Sample of Patients with Diabetes and Hypertension

Michael Fleming and Marlon Mundt
The Journal of the American Board of Family Practice July 2004, 17 (4) 247-255; DOI: https://doi.org/10.3122/jabfm.17.4.247
Michael Fleming
MD, MPH
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Marlon Mundt
MS
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Article Figures & Data

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  • Figure 1.
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    Figure 1.

    This figure displays the interquartile range of %CDT values for subjects who were abstinent (0 drinks), moderate alcohol drinkers (1 to 89 drinks), and high-risk drinkers (90 or more drinks) in the past 30 days. The median %CDT level increases from 2.0 for abstainers, to 2.1 for moderate drinkers, and to 2.7 for heavy drinkers. A %CDT level of 2.6 or higher is used to positively identify heavy alcohol use.

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    Figure 2.

    Receiver operator curve for %CDT test in a sample of 799 patients with diabetes and/or hypertension and control subjects. The ROC curve plots sensitivity (true-positive) vs. 1 − specificity (false-positive) rates for the %CDT test. A case was defined as a subject who reported 90 or more standard drinks in the previous 30 days. The specificity and sensitivity will vary depending on the %CDT value selected. For example, if one selects the cut-off currently recommended, 2.6% CDT, the sensitivity is 61% and specificity is 85%. If one selects 3.0% CDT, the sensitivity decreases to 40% and the specificity increases to 97%. The area under the ROC curve = 0.803.

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    Table 1.

    Sociodemographics and Health Status of 799 Persons, 30 to 60 Years Old, Recruited from 8 Primary Care Clinics

    Diabetic Only (n = 89)Hypertensive Only (n = 299)Both Diabetic and Hypertensive (n = 209)Neither Diabetic nor Hypertensive (n = 202)All Patients (n = 799)
    Gender
     Female50 (56%)146 (49%)102 (49%)98 (49%)396 (50%)
     Male39 (44%)153 (51%)107 (51%)104 (51%)403 (50%)
    Age, mean48.549.851.747.949.7
    Ethnicity
     White71 (80%)267 (89%)177 (85%)185 (92%)700 (88%)
     African American10 (11%)21 (7%)21 (10%)13 (6%)65 (8%)
     Asian4 (4%)5 (2%)0 (0%)2 (1%)11 (1%)
     Hispanic3 (3%)5 (2%)7 (3%)2 (1%)17 (2%)
     Other1 (1%)1 (0%)4 (2%)0 (0%)6 (1%)
    Education
     High school or less33 (37%)89 (30%)68 (33%)53 (26%)243 (30%)
     Technical school22 (25%)56 (19%)44 (21%)38 (19%)160 (20%)
     College18 (20%)97 (32%)58 (28%)57 (28%)230 (29%)
     Postgraduate16 (18%)57 (19%)38 (18%)54 (27%)165 (21%)
    Household size
     113 (15%)43 (14%)29 (14%)23 (11%)108 (14%)
     237 (42%)125 (42%)107 (51%)85 (42%)354 (44%)
     3 to 434 (38%)106 (35%)47 (22%)75 (37%)262 (33%)
     5 or more5 (6%)24 (8%)24 (11%)19 (9%)72 (9%)
    Marital status
     Married/with partner60 (68%)206 (69%)136 (65%)143 (71%)545 (68%)
     Never married12 (13%)35 (12%)21 (10%)21 (10%)89 (11%)
     Separated/divorced13 (15%)51 (17%)44 (21%)36 (18%)144 (18%)
     Widowed4 (4%)7 (2%)7 (3%)2 (1%)20 (3%)
    Health problems*
     Hepatitis C0 (0%)2 (1%)5 (2%)4 (2%)11 (1%)
     Asthma13 (15%)23 (8%)37 (18%)15 (7%)88 (11%)
     Depression27 (30%)79 (26%)65 (31%)42 (21%)213 (27%)
     Anxiety31 (35%)83 (30%)66 (32%)53 (26%)233 (29%)
     Elevated cholesterol39 (44%)94 (11%)117 (56%)43 (21%)293 (37%)
    • * Categories are not mutually exclusive.

    • View popup
    Table 2.

    Frequency of Six Categories of Alcohol Consumption and Presence of DSM-IV Criteria for Alcohol Abuse or Dependence by Diabetes and Hypertension Status (N = 799)

    Diabetic Only (n = 89)Hypertensive Only (n = 299)Both Diabetic and Hypertensive (n = 209)Neither Diabetic nor Hypertensive (n = 202)All Patients (n = 799)
    Alcohol consumption, past 30 days*
     0 drinks50 (56%)115 (38%)109 (52%)63 (31%)337 (42%)
     1 to 29 drinks33 (37%)133 (44%)82 (39%)112 (55%)360 (45%)
     30 to 59 drinks3 (3%)25 (8%)12 (6%)17 (8%)57 (7%)
     60 to 89 drinks1 (1%)17 (6%)3 (1%)6 (3%)27 (3%)
     90 to 119 drinks0 (0%)3 (1%)1 (0%)0 (0%)4 (1%)
     120+ drinks2 (0.02%)6 (2%)2 (1%)4 (2%)14 (2%)
    Alcohol Abuse
     Current0 (0%)7 (2%)6 (3%)4 (2%)17 (2%)
     Lifetime25 (28%)99 (33%)74 (35%)85 (42%)283 (35%)
     None64 (82%)193 (65%)119 (62%)113 (56%)499 (63%)
    DSM-IV Alcohol Dependence
     Current1 (1%)10 (3%)8 (4%)4 (2%)23 (3%)
     Lifetime11 (12%)45 (15%)25 (12%)37 (18%)118 (15%)
     None77 (87%)244 (82%)176 (84%)161 (80%)658 (82%)
    • * 1 standard drink = 14 g of alcohol (12 ounces of beer, 5 ounces of wine, or 1.5 ounces of spirits). The six consumption categories are equivalent to abstinence, <1 drink/day, 1 to 2 drinks/day, 2 to 3 drinks/day, 3 to 4 drinks/day, and 4 or more drinks/day. These categories are used in national epidemiological studies (31).

    • View popup
    Table 3.

    Sensitivity and Specificity of %CDT in a Sample of Patients with Diabetes and/or Hypertension and Control Subjects (n = 799)

    Sensitivity* (Positive %CDT/True Cases)Specificity* (Negative %CDT/True-Negatives)
    Diabetic40% (2/5)89% (260/293)
    Hypertensive58% (7/12)87% (430/496)
    Both diabetic and hypertensive67% (2/3)90% (185/206)
    Neither diabetic nor hypertensive100% (4/4)79% (154/196)
    All patients in study61% (11/18)85% (659/779)
    • * A true case is defined as persons who reported drinking >89 drinks in the past 30 days.

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The Journal of the American Board of Family Practice: 17 (4)
The Journal of the American Board of Family Practice
Vol. 17, Issue 4
1 Jul 2004
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Carbohydrate-Deficient Transferrin: Validity of a New Alcohol Biomarker in a Sample of Patients with Diabetes and Hypertension
Michael Fleming, Marlon Mundt
The Journal of the American Board of Family Practice Jul 2004, 17 (4) 247-255; DOI: 10.3122/jabfm.17.4.247

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Carbohydrate-Deficient Transferrin: Validity of a New Alcohol Biomarker in a Sample of Patients with Diabetes and Hypertension
Michael Fleming, Marlon Mundt
The Journal of the American Board of Family Practice Jul 2004, 17 (4) 247-255; DOI: 10.3122/jabfm.17.4.247
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