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A new classification plot for the C-peptide suppression test.

Christiane Saddig1, Ralf Bender, Achim A R Starke

  • 1Department of Metabolic Diseases and Nutrition, Heinrich-Heine-University of Duesseldorf, Duesseldorf, Germany.

JOP : Journal of the Pancreas
|March 9, 2002
PubMed
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The C-peptide suppression test accurately screens for insulinomas, identifying patients with hypoglycemia symptoms not caused by endogenous hyperinsulinemia. This test reduces the need for lengthy fasting tests and hospital stays.

Area of Science:

  • Endocrinology
  • Clinical Diagnostics
  • Biochemistry

Background:

  • Hypoglycemia symptoms can stem from endogenous hyperinsulinemia, often due to insulinomas.
  • Accurate diagnostic tools are crucial for timely and cost-effective patient management.
  • The C-peptide suppression test is evaluated as a potential screening tool.

Purpose of the Study:

  • To assess the efficacy of the C-peptide suppression test in screening patients with hypoglycemia symptoms.
  • To compare its diagnostic performance against the standard fasting test.

Main Methods:

  • Retrospective discriminant analysis of C-peptide suppression test data.
  • Compared results from 26 patients with insulinomas and 100 without.
  • Utilized a classification plot with two discriminant parameters: [blood glucose]/[C-peptide] ratio and mean glycemia during insulin infusion.

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Main Results:

  • Patients with insulinomas showed higher minimal C-peptide levels (1.81 ng/mL vs. 0.40 ng/mL) and lower maximal suppression (37% vs. 75%).
  • Mean glycemia and [blood glucose]/[C-peptide] ratio were significantly lower in insulinoma patients (P<0.001).
  • Discriminant analysis achieved 96% specificity and 100% sensitivity for diagnosing insulinoma.

Conclusions:

  • A novel classification plot for the C-peptide suppression test accurately identifies patients without endogenous hyperinsulinemia.
  • This method can reduce the necessity for prolonged fasting tests and associated hospitalization costs.
  • The C-peptide suppression test offers an efficient screening approach for hypoglycemia evaluation.