ArticleEndocrine journal2025
Utility of the random C-peptide and random C-peptide index at diagnosis as a predictor of disease type and long-term insulin secretory capacity in children with diabetes mellitus.
Article in Endocrine journal, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
The random C-peptide and random C-peptide index (CPI) have been shown to be useful in assessing endogenous insulin secretory capacity in adults with type 2 diabetes. This study aimed to clarify the utility of C-peptide and the CPI in early classification of long-term insulin-dependent status in pediatric diabetes patients. A total of 204 patients aged ≤15 years who received an initial diagnosis of acute-onset type 1 diabetes mellitus (T1DM), slowly progressive insulin-dependent diabetes mellitus (SPIDDM), or type 2 diabetes mellitus (T2DM) at Yokohama City University Medical Center between April 1, 2003 and March 31, 2018 were included. The acute-onset T1DM, SPIDDM, and T2DM groups included 140, 8, and 56 patients, respectively. The median random C-peptide values were 0.67, 3.18, and 4.16 ng/mL and median random CPI values were 0.19, 2.02, and 2.53 for acute-onset T1DM, SPIDDM, and T2DM cases, respectively (acute-onset T1DM vs. T2DM, p < 0.001 (C-peptide), p < 0.001 (CPI), acute-onset T1DM vs. SPIDDM, p < 0.001 (C-peptide), p < 0.001 (CPI), SPIDDM vs. T2DM, p = 0.04 (C-peptide), p = 0.19 (CPI)). Receiver operating characteristic analysis cutoff values of C-peptide levels in differentiating acute-onset T1DM from SPIDDM and acute-onset T1DM from T2DM were 1.60 ng/mL (sensitivity 87.5%, specificity 90.6%) and 1.81 ng/mL (sensitivity 91.1%, specificity 93.5%), while the respective CPI values were 0.46 (100% sensitivity, 77% specificity) and 1.05 (92.1% sensitivity, 87.5% specificity). This study indicates that the random C-peptide and random CPI at diagnosis are helpful in the early classification of childhood diabetes and determining an appropriate time to introduce insulin and predicting the subsequent clinical course.
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