Comparison of Visual Methods to Reanalyze Provocative Test Data from Randomized Controlled Clinical Trials in New- or

Brenda Orozco1, Kurt J Griffin1

  • 1University of South Dakota Sanford School of Medicine.

Abstract

Insights

Hyperglycemia before a mixed meal tolerance test (MMTT) may affect type 1 diabetes trial results. New graphical analyses of MMTT data could refine protocols for better glycemic control during testing.

Area of Science:

  • Immunology
  • Endocrinology
  • Clinical Trials

Background:

  • The Immune Tolerance Network (ITN) has studied type 1 diabetes (T1D) autoimmunity for 13 years.
  • Primary endpoints in T1D trials often involve C-peptide production measured by mixed meal tolerance tests (MMTT) over 2-3 years.
  • Current protocols allow rapid-acting insulin before MMTTs, potentially leading to overnight hyperglycemia that may impact results.

Purpose of the Study:

  • To investigate the impact of overnight or fasting hyperglycemia on MMTT outcomes in type 1 diabetes.
  • To hypothesize that pre-test hyperglycemia depletes insulin and affects first-phase insulin secretion and C-peptide area under the curve (AUC).

Main Methods:

  • Utilized publicly available, deidentified subject-level data from ITN TrialShare.
  • Developed novel graphical analyses to re-examine MMTT results, including glucose and C-peptide response curves.
  • Employed analysis of centroids and ratios of glucose/C-peptide excursions.

Main Results:

  • Applied graphical analyses to 1161 MMTTs from 245 subjects across 8 ITN studies.
  • Observed expected declines in C-peptide and increases in blood glucose over time in MMTT results.
  • Graphical analysis showed centroids moving upwards and leftwards, reflecting these changes.

Conclusions:

  • Successfully analyzed MMTT data using novel graphical approaches.
  • Prepared to test the hypothesis by correlating pre-MMTT glycemic levels with predicted changes.
  • Potential to refine future clinical trial protocols for tighter glycemic regulation before provocative testing.

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