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The carbohydrate-deficient transferrin as a marker of chronic alcohol consumption and assessment of its usefulness in patients with cardiovascular diseases – a pilot study

Joanna Dominika Waś
Joanna Dominika Waś
, 
Magdalena Niedolistek
Magdalena Niedolistek
, 
Dorota Sokołowska
Dorota Sokołowska
, 
Joanna Wiśniewska
Joanna Wiśniewska
, 
Tomasz Zieliński
Tomasz Zieliński
, 
Anna Mierzyńska
Anna Mierzyńska
, 
Daniel Rabczenko
Daniel Rabczenko
, 
Beata Orzechowska
Beata Orzechowska
, 
Dominika Franz
Dominika Franz
, 
Ewa Augustynowicz-Kopeć
Ewa Augustynowicz-Kopeć
 y 
Anna Lutyńska
Anna Lutyńska
   | 04 oct 2023
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Article Category: Original Study
Publicado en línea: 04 oct 2023
Páginas: 91 - 98
Recibido: 25 may 2022
Aceptado: 31 mar 2023
DOI: https://doi.org/10.2478/ahem-2023-0010
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© 2023 Joanna Dominika Waś et al., published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Figure 1.

An representative chromatogram shows the characteristic higher peaks occurring in the case of alcohol consumption - isoform asialotransferrin and disialotransferrin - positive result CDT) - A & sample chromatogram where no asialotransferrin is present and disialotransferrin is much lower – negative CDT - B (Chromsystems, Germany)
An representative chromatogram shows the characteristic higher peaks occurring in the case of alcohol consumption - isoform asialotransferrin and disialotransferrin - positive result CDT) - A & sample chromatogram where no asialotransferrin is present and disialotransferrin is much lower – negative CDT - B (Chromsystems, Germany)

Figure 2.

Analysis of correlation between CDT and NT pro-BNP, troponin T, ALP and GGT
Analysis of correlation between CDT and NT pro-BNP, troponin T, ALP and GGT

Figure 3.

ROC curve analysis of CDT, NT pro-BNP, Troponin T, ALP and GGT parameters to detect patients, for which CDT is over 2.5
ROC curve analysis of CDT, NT pro-BNP, Troponin T, ALP and GGT parameters to detect patients, for which CDT is over 2.5

Figure 4.

ROC curve analysis of CDT, NT pro-BNP, Troponin T, ALP and GGT parameters to detect patients, for which CDT is over 1.2
ROC curve analysis of CDT, NT pro-BNP, Troponin T, ALP and GGT parameters to detect patients, for which CDT is over 1.2

Descriptive statistics for analyzed parameters

CDT NT pro-BNP Troponin T ALP GGT
N 59 59 59 59 59
Mean (SD) 1.5 (0.9) 5 123.1 ( 5911.5) 159.4 (576.1) 115.6 (89.5) 172.3 (175.0)
Median 1.3 2,983.0 28.1 92.0 102.0
Range 0.4 – 5.1 180.3 – 33 576.0 4.2 – 3,694.0 25.0 – 636.0 16.0 – 782.0

Area under the ROC curves for different parameters and CDT cut-offs

Parameter AUC 95% C.I.
CDT cut-off 2.5
NT pro-BNP 0.654 (0.475;0.833)
Troponin T 0.635 (0.406;0.865)
ALP 0.733 (0.444;1.000)
GGT 0.855 (0.685;1.000)
CDT cut off 1.2
NT pro-BNP 0.716 (0.569;0.862)
Troponin T 0.445 (0.281;0.609)
ALP 0.564 (0.416;0.713)
GGT 0.565 (0.413;0.718)
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Life Sciences, Molecular Biology, Microbiology and Virology, Medicine, Basic Medical Science, Immunology
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