Quantitative estimation of insulin sensitivity in type 1 diabetic subjects wearing a sensor-augmented insulin pump

Michele Schiavon, Chiara Dalla Man, Yogish C. Kudva, Ananda Basu, Claudio Cobelli

Research output: Contribution to journalArticlepeer-review

27 Scopus citations


OBJECTIVE: The goal was to develop a new index of insulin sensitivity in patients with type 1 diabetes estimated from continuous glucose monitoring (CGM) and subcutaneous insulin delivery data under carefully controlled conditions. RESEARCH DESIGN AND METHODS: The database consists of 12 subjects with type 1 diabetes, studied during breakfast, lunch, and dinner, in a clinical research unit, wearing both subcutaneous insulin pump and CGM device. Frequent blood samples were drawn for measurements of plasma glucose and insulin concentrations in order to estimate insulin sensitivity with the oral minimal model (S IMM). The new index of insulin sensitivity (S ISP) was calculated with a simple algebraic formula for each meal, using only CGM and insulin pump data and compared with S IMM. RESULTS: SISP was well correlated with SIMM (r = 0.825; P < 10-8), and diurnal pattern was also similar to SIMM. CONCLUSIONS: A novel method for estimating insulin sensitivity in subjects with type 1 diabetes on sensor-augmented insulin pump therapy has been presented. This new index correlates well with the reference oral minimal model estimate of insulin sensitivity. The knowledge of patient-specific insulin sensitivity and its diurnal variation can help in optimizing insulin therapy in type 1 diabetes and could also inform next-generation closed-loop control systems.

Original languageEnglish (US)
Pages (from-to)1216-1223
Number of pages8
JournalDiabetes care
Issue number5
StatePublished - May 2014

ASJC Scopus subject areas

  • Internal Medicine
  • Endocrinology, Diabetes and Metabolism
  • Advanced and Specialized Nursing


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