2005
DOI: 10.1093/alcalc/agh189
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Combining the Audit Questionnaire and Biochemical Markers to Assess Alcohol Use and Risk of Alcohol Withdrawal in Medical Inpatients

Abstract: These findings confirm that AUDIT is a useful alcohol screen in general medical settings and that its ability to correctly predict which patients will experience alcohol withdrawal is increased when used in combination with biological markers.

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Cited by 69 publications
(59 citation statements)
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“…Drawing on the work of Dolman 6 and Reoux, 7 we concluded, similar to the Christiana authors, that the AUDIT instrument had potential as a reliable screening Published online November 6, 2013 tool that could determine those at risk for alcohol withdrawal. Dolman demonstrated high sensitivity and specificity of the entire AUDIT scale in an unselected medical population, but had used the entire ten-question instrument to screen all patients, a practice that may be impractical for more universal application.…”
supporting
confidence: 60%
“…Drawing on the work of Dolman 6 and Reoux, 7 we concluded, similar to the Christiana authors, that the AUDIT instrument had potential as a reliable screening Published online November 6, 2013 tool that could determine those at risk for alcohol withdrawal. Dolman demonstrated high sensitivity and specificity of the entire AUDIT scale in an unselected medical population, but had used the entire ten-question instrument to screen all patients, a practice that may be impractical for more universal application.…”
supporting
confidence: 60%
“…It is remarkable that, despite the numerous limitations of self-reported data, the subjective responses by our study subjects correlated significantly and congruently with several objective biological measures of cardiometabolic health. Although self-reported behavioral data are often described as "soft" data, congruent associations with objective measures have frequently been reported (30)(31)(32)(33)(34)(35)(36). For example, alcohol abuse screening questionnaire responses are associated with biological measures of alcohol withdrawal symptoms (30), self-reported smoking status is highly correlated with circulating cotinine levels (31), and dietary and physical activity habits have been shown to predict obesity and cardiometabolic risks (32)(33)(34)(35)(36)(37).…”
Section: Discussionmentioning
confidence: 99%
“…When combined, the biomarkers increased the positive predictive values even more, and improved screening for patients at risk for abstinence symptoms. The combination of AST and GGT biomarkers yielded the best results (Dolman & Hawkes, 2005).…”
Section: Comparability Of the Audit With Other Alcohol Screening Methodsmentioning
confidence: 99%