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Optimal Cutoff Point of Glutamate Decarboxylase Antibody Titers in Differentiating Two Subtypes of Adult‐Onset Latent Autoimmune Diabetes
Author(s) -
LI X.,
ZHOU Z. G.,
HUANG G.,
YAN X.,
YANG L.,
CHEN X. Y.,
WANG J. P.
Publication year - 2004
Publication title -
annals of the new york academy of sciences
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.712
H-Index - 248
eISSN - 1749-6632
pISSN - 0077-8923
DOI - 10.1196/annals.1337.019
Subject(s) - glutamate decarboxylase , titer , receiver operating characteristic , cutoff , medicine , diabetes mellitus , area under the curve , immunology , type 1 diabetes , antibody titer , antibody , gastroenterology , endocrinology , biology , enzyme , biochemistry , physics , quantum mechanics
A bstract : The optimal cutoff point of glutamate decarboxylase antibody (GAD‐Ab) titers for differentiating two latent autoimmune diabetes (LADA) subtypes remains unclear. One hundred and forty‐five GAD‐Ab‐positive patients screened from phenotypic type 2 diabetes were diagnosed as LADA. The clinical features were compared among LADA patients with different GAD‐Ab titers. The receiver‐operating characteristic (ROC) curve was used to evaluate the diagnostic value of GAD‐Ab titers and to define the optimal cutoff point. The heterogeneity of clinical features in LADA could be discriminated by five GAD‐Ab titers, with maximal differences at the titer of 175 U/mL. The ROC curve analysis showed that the optimal cutoff point for discriminating two LADA subtypes was at the titer of 175 U/mL, with sensitivity and specificity of 54.5% and 92.1%, respectively. These findings demonstrated that the two clinically distinct subtypes of LADA can be optimally discriminated by the GAD‐Ab titers.