Is Carbohydrate-Deficient Transferrin a Specific Marker for Alcohol Abuse? A Study in Patients with Chronic Viral Hepatitis

1997 ◽  
Vol 21 (7) ◽  
pp. 1337-1342 ◽  
Author(s):  
Renaud Perret ◽  
Florian Froehlich ◽  
Daniel Lavanchy ◽  
Hugues Henry ◽  
Claude Bachman ◽  
...  
2008 ◽  
Vol 47 (10) ◽  
pp. 933-937 ◽  
Author(s):  
Leonidas Christou ◽  
Georgios Kalambokis ◽  
Epameinondas V Tsianos

1998 ◽  
Vol 44 (6) ◽  
pp. 1209-1215 ◽  
Author(s):  
Katja Viitala ◽  
Kaija Lähdesmäki ◽  
Onni Niemelä

Abstract Carbohydrate-deficient transferrin (CDT) has been suggested as a specific marker of alcohol abuse. We designed this study to compare the conventional CDTect method (Pharmacia & Upjohn) and the new semiautomated Axis %CDT turbidimetric immunoassay (%CDT TIA) for their diagnostic performance to identify problem drinking. The sensitivities of the %CDT TIA and CDTect for correctly classifying heavy drinkers (n = 90) were 29% and 59% with the thresholds currently recommended by the manufacturers, respectively. In the control group (n = 114), which included hospitalized patients with abnormal serum transferrin concentrations, the CDTect assay gave 21 false-positive values (18%), whereas the %CDT TIA showed 100% specificity. With the cutoff limits based on the present healthy control group (mean + 2 SD), the sensitivities of the %CDT TIA and CDTect were 61% and 86%, respectively. For men, the ROC plot area of the CDTect results in comparisons of alcohol abusers and healthy controls was significantly (P <0.05) higher than that of the %CDT TIA results, whereas for women, there was no significant difference in this respect. The slope and intercept (with 95% confidence intervals) for linear regression between CDTect and %CDT TIA were 0.13 (0.12–0.15) and 1.16 (0.73–1.59), respectively (Sy‖x = 1.51, r = 0.744). CDTect results correlated positively with serum transferrin (r = 0.224, P <0.001), whereas the %CDT TIA results showed a slight inverse correlation with serum transferrin (r = −0.132, P = 0.07). The data suggest that CDTect is more sensitive than %CDT TIA in detecting drinking problems. However, the %CDT TIA method yields more specificity when analyzing samples from patients with high serum transferrin concentrations.


2001 ◽  
Vol 47 (1) ◽  
pp. 13-27 ◽  
Author(s):  
Torsten Arndt

Abstract Background: Carbohydrate-deficient transferrin (CDT) is used for diagnosis of chronic alcohol abuse. Some 200–300 reports on CDT have been published in impact factor-listed journals. The aims of this review were to condense the current knowledge and to resolve remaining issues on CDT. Approach: The literature (1976–2000) was searched using MEDLINE and Knowledge Server with “alcohol and CDT” as the search items. The data were reviewed systematically, checked for redundancy, and organized in sequence based on the steps involved in CDT analysis. Content: The review is divided into sections based on microheterogeneity of human serum transferrin (Tf), definition of CDT, structure of human serum CDT, pathomechanisms of ethanol-induced CDT increase, preanalysis, analysis, and medical interpretation (postanalysis). Test-specific cutoff values for serum CDT and causes of false positives and negatives for chronic alcohol abuse are discussed and summarized. Summary: Asialo- and disialo-Fe2-Tf, which lack one or two complete N-glycans, and monosialo-Fe2-Tf (structure remains unclear) are collectively referred to as CDT. Diminished mRNA concentration and glycoprotein glycosyltransferase activities involved in Tf N-glycan synthesis and increased sialidase activity most likely account for alcohol-induced increases in CDT. Knowledge about in vivo and in vitro effects on serum CDT is poor. Reliable CDT and non-CDT fractionation is needed for CDT measurement. Analysis methods with different analytical specificities and recoveries decreased the comparability of values and statistical parameters of the diagnostic efficiency of CDT. CDT is the most specific marker of chronic alcohol abuse to date. Efforts should concentrate on the pathomechanisms (in vivo), preanalysis, and standardization of CDT analysis.


2002 ◽  
Vol 123 (6) ◽  
pp. 2154-2155
Author(s):  
Satheesh Nair

2016 ◽  
Vol 54 (12) ◽  
pp. 1343-1404
Author(s):  
B Binder ◽  
A Schuch ◽  
B van Wilgenburg ◽  
A Hoh ◽  
P Klenerman ◽  
...  

2020 ◽  
Vol 18 (7) ◽  
Author(s):  
Tatiana Ghelimici ◽  
Iulianna Lupasco ◽  
Vlada-Tatiana Dumbrava ◽  
Inna Vengher ◽  
Natalia Taran ◽  
...  

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