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Open Access

Identifying chronic heavy alcohol use in emergency general surgery patients: a pilot study

Maher M Matar, Brent Jewett, Samir M Fakhry, Dulaney A Wilson, Pamela L Ferguson, Raymond F Anton, Joseph V Sakran
DOI: 10.1136/tsaco-2017-000098 Published 29 September 2017
Maher M Matar
1Department of Surgery, Medical University of South Carolina, Charleston, South Carolina, USA
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Brent Jewett
2Department of Surgery, Trident Medical Center, Charleston, South Carolina, USA
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Samir M Fakhry
1Department of Surgery, Medical University of South Carolina, Charleston, South Carolina, USA
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Dulaney A Wilson
1Department of Surgery, Medical University of South Carolina, Charleston, South Carolina, USA
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Pamela L Ferguson
1Department of Surgery, Medical University of South Carolina, Charleston, South Carolina, USA
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Raymond F Anton
1Department of Surgery, Medical University of South Carolina, Charleston, South Carolina, USA
3The Charleston Alcohol Center, Medical University of South Carolina, Charleston, South Carolina, USA
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Joseph V Sakran
1Department of Surgery, Medical University of South Carolina, Charleston, South Carolina, USA
4Division of Acute Care Surgery, The Johns Hopkins University, The Johns Hopkins Hospital, Baltimore, Maryland, USA
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  • Figure 1
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    Figure 1

    Correlation between carbohydrate-deficient transferrin (%dCDT) and Alcohol Use Disorders Identification Test (AUDIT) scores. 

Tables

  • Figures
  • Table 1

    2×2 Table for %dCDT and AUDIT scores

    %dCDT >1.7%
    YesNo
    AUDIT ≥8Yes3 (75.0)11 (13.8)14
    No1 (25.0)69 (86.3)70
    48084
  • Table 2

    Demographic and clinical characteristics of study cohort

    n=91AUDIT or CDT
    PositiveNegative
    n=16 (17.6)n=75 (82.4)
    Readmitted within 30 days (ED or inpatient)
     No72 (79.1)13 (81.3)59 (78.7)0.817
     Yes19 (20.9)3 (18.8)16 (21.3)
    Complication noted
     No76 (83.5)11 (68.8)65 (86.7)0.301
     Yes7 (7.7)2 (12.5)5 (6.7)
    Surgery done?
     No16 (17.6)5 (31.3)11 (14.7)0.147
     Yes75 (82.4)11 (68.8)64 (85.3)
    Length of stay
     Mean±SD4.01± 6.444.13± 4.133.99± 6.850.9914
     Median (IQR)2.0 (3.0)3.0 (5.0)2.0 (3.0)
    Sex
     Female45 (49.5)4 (25.0)41 (54.7)0.052
     Male46 (50.5)12 (75.0)34 (45.3)
    Race
     White66 (72.5)10 (62.5)56 (74.7)0.361
     Non-white24 (26.4)6 (37.5)18 (24.0)
    Age
     21–3433 (36.3)5 (31.3)28 (37.3)0.801
     35–4414 (15.4)4 (25.0)10 (13.3)
     45–5414 (15.4)2 (12.5)12 (16.0)
     55–6414 (15.4)2 (12.5)12 (16.0)
     65–749 (9.9)1 (6.3)8 (10.7)
     75 and over7 (7.7)2(12.5)5(6.7)
    Primary payer
     Commercial51 (56.0)10 (62.5)41 (54.7)0.913
     Medicare16 (17.6)3 (18.8)13 (17.3)
     Medicaid6 (6.6)1 (6.3)5 (6.7)
     Uninsured18 (19.8)2 (12.5)16 (21.3)
    Number of comorbidities
     042 (46.2)10 (62.5)32 (42.7)0.175
     1 or more49 (53.8)6 (37.5)43 (57.3)
    • AUDIT, Alcohol Use Disorders Identification Test; CDT, carbohydrate-deficient transferrin; ED, emergency department.

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Identifying chronic heavy alcohol use in emergency general surgery patients: a pilot study
Maher M Matar, Brent Jewett, Samir M Fakhry, Dulaney A Wilson, Pamela L Ferguson, Raymond F Anton, Joseph V Sakran
Trauma Surg Acute Care Open Sep 2017, 2 (1) e000098; DOI: 10.1136/tsaco-2017-000098

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Identifying chronic heavy alcohol use in emergency general surgery patients: a pilot study
Maher M Matar, Brent Jewett, Samir M Fakhry, Dulaney A Wilson, Pamela L Ferguson, Raymond F Anton, Joseph V Sakran
Trauma Surg Acute Care Open Sep 2017, 2 (1) e000098; DOI: 10.1136/tsaco-2017-000098
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Identifying chronic heavy alcohol use in emergency general surgery patients: a pilot study
Maher M Matar, Brent Jewett, Samir M Fakhry, Dulaney A Wilson, Pamela L Ferguson, Raymond F Anton, Joseph V Sakran
Trauma Surgery & Acute Care Open Sep 2017, 2 (1) e000098; DOI: 10.1136/tsaco-2017-000098
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