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									<identifier>oai:www.peertechzpublications.org:10.17352/2455-3484.000059</identifier>
									<datestamp>2026-04-02</datestamp>
									<setSpec>PTZ.JAMTS:VOL12</setSpec>
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										<dc:title>
										Diagnostic Performance of Ethyl Glucuronide and Carbohydrate-Deficient Transferring as Biomarkers of Alcohol Dependence in Women
										</dc:title><dc:creator>Razvodovsky YE</dc:creator><dc:description>&lt;p&gt;&lt;strong&gt;Aims:&lt;/strong&gt; To compare the performance of ethyl glucuronide (EtG) and carbohydrate-deficient transferring (CDT) for detecting alcohol dependence in women.&amp;nbsp;&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Methods:&lt;/strong&gt; The concentrations of EtG in hair and CDT in the blood of 25 alcohol-dependent women admitted to the hospital for detoxification were determined. To assess diagnostic performance (sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV)), as well as to determine the optimal cut-off values of biochemical markers, receiver operating characteristic (ROC) analysis was performed.&amp;nbsp;&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Results: &lt;/strong&gt;The optimal cut-off value for EtG was 38 ng/mL. At this cut-off, the model demonstrated strong performance with a sensitivity 93%, a specificity 92%, a PPV 83%, and an NPV 67%. For CDT, a cut-off of 371 ng/mL yielded a sensitivity 95%, specificity 100%, positive predictive value 100%, and negative predictive value 95%.&amp;nbsp;&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Conclusions: &lt;/strong&gt;The results suggest that EtG and CDT are reliable indicators of alcohol dependence in women. CDT performed better in identifying alcohol dependence in women.&lt;/p&gt;</dc:description>
										<dc:publisher>Journal of Addiction Medicine and Therapeutic Science - Peertechz Publications</dc:publisher>
										<dc:date>2026-04-02</dc:date>
										<dc:type>Research Article</dc:type>
										<dc:identifier>https://doi.org/10.17352/2455-3484.000059</dc:identifier>
										<dc:language>en</dc:language>
										<dc:rights>Copyright © Razvodovsky YE et al.</dc:rights>
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