Diagnostic utility of the insulin-to-C-peptide molar ratio in differentiating insulin autoimmune syndrome and exogenous insulin antibody syndrome from insulinoma - Scorecard - MDSpire

Diagnostic utility of the insulin-to-C-peptide molar ratio in differentiating insulin autoimmune syndrome and exogenous insulin antibody syndrome from insulinoma

  • By

  • Yang Wang

  • Yiwen Liu

  • Jie Yu

  • Baodi Xing

  • Fan Ping

  • Wei Li

  • Lingling Xu

  • Ming Li

  • Huabing Zhang

  • Yuxiu Li

  • July 7, 2026

  • 0 min

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Clinical Scorecard: Evaluating the Insulin-to-C-Peptide Molar Ratio for Differentiating Insulin Autoimmune Syndrome and Exogenous Insulin Antibody Syndrome from Insulinoma

At a Glance

CategoryDetail
ConditionInsulin Autoimmune Syndrome and Exogenous Insulin Antibody Syndrome
Key MechanismsDissociation between insulin and C-peptide levels due to insulin autoantibodies.
Target PopulationPatients with suspected insulin autoimmune syndrome or exogenous insulin antibody syndrome.
Care SettingClinical biochemical assessment in a hospital setting.

Key Highlights

  • Insulin-to-C-peptide molar ratio > 1 is traditionally suggestive of IAS but may not be optimal.
  • Optimal cutoffs for IAS and EIAS were identified as 0.382 and 0.552 during hypoglycemia, respectively.
  • Insulin concentration alone also showed good diagnostic performance for IAS with AUCs of 0.985 during hypoglycemia.

Guideline-Based Recommendations

Diagnosis

  • Use insulin-to-C-peptide molar ratio for distinguishing IAS and EIAS from insulinoma.

Management

  • Consider lower cutoffs for insulin-to-C-peptide molar ratio to improve sensitivity.

Monitoring & Follow-up

  • Monitor insulin and C-peptide levels during hypoglycemic episodes.

Risks

  • Failure to recognize IAS and EIAS may lead to severe hypoglycemia and unnecessary investigations.

Patient & Prescribing Data

Patients with IAS and EIAS.

Insulin concentration and insulin-to-C-peptide molar ratio are key diagnostic tools.

Clinical Best Practices

  • Integrate clinical and laboratory findings for diagnosis.
  • Validate findings in larger cohorts.

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