Closed-loop Response to Unannounced Mixed and Carbohydrates-rich Breakfasts (CRUMB)

March 2, 2026 updated by: Laura Sciacca, University of Catania

The CRUMB Study: Closed-loop Response to Unannounced Mixed and Carbohydrates-rich Breakfasts. A Randomized Controlled Crossover Pilot-study in a Cohort of Adolescents With Type 1 Diabetes.

The development of advanced hybrid closed-loop (a-HCL) systems represents a significant step toward in improving glucose control and reducing user-dependent variability, especially In pediatric patients. Systems can automatically deliver correction boluses and modulate insulin delivery based on CGM feedback, thereby compensating for some of the consequences of human error. Current evidence suggests that a-HCL systems can tolerate unannounced carbohydrate loads up to approximately 20 g without compromising time in range (TIR) or safety. However, the metabolic response to larger or compositionally complex meals remains variable and highly dependent on the specific algorithm governing insulin delivery.

Currently a variety of AID are commercially available: all of them present similarities and differences. The Medtronic MiniMed™ 780G uses a proportional-integral-derivative (PID) algorithm, a mathematical model that adjusts in real time insulin delivery rate based on 3 elements obtained from CGM reading values: the difference between the actual value and the chosen glucose target (proportional action), past values (integral action) and the glucose's rate of change (derivative action), In contrast, the Tandem t:slim X2™ with Control-IQ employs a model predictive control (MPC) algorithm, which aims, through a complex mathematical model, to predict glucose trends up to half-an-hour in the future, takin, also, in consideration actual and past glucose values. Despite sharing the same objective, said algorithms have different approaches, the former one being "reactive" and the latter "predictive". Therefore, their difference could result in different performances while facing mixed-nutrient meal or unannounced meals, defined as the consumptions of a meal with any prior insulin administration.

Pediatric patients represent certainly a unique subgroup in which therapeutic adherence is a relevant issue, due to cognitive, developmental and behavioral factors. Understanding how different AID algorithms respond to unannounced meals in this age group is therefore crucial for optimizing safety and personalization of diabetes management.

This study was designed to evaluate the strengths and limitations of two a-HCL systems, the Medtronic 780G (PID algorithm) and the Tandem t:slim X2 (MPC algorithm), in managing unannounced meals with different macronutrient compositions in children and adolescents with T1D. We also aim to better understand physiological and technological unannounced meal implications as to provide additional insight useful for the development of new fully closed loop algorithms, capable of minimizing glucose excursions and patient's burden.

Study Overview

Status

Completed

Conditions

Intervention / Treatment

Study Type

Interventional

Enrollment (Actual)

20

Phase

  • Not Applicable

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Locations

    • Sicily
      • Catania, Sicily, Italy, 95123
        • Azienda Ospedaliero Universitaria Policlinico "G.Rodolico - San Marco" - Catania

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

  • Child
  • Adult

Accepts Healthy Volunteers

No

Description

Inclusion Criteria:

  • Age between 11 and 18 years;
  • Type 1 diabetes diagnosed for at least 12 months;
  • Use of an A-HCL device for at least 3 months;
  • Proficiency in carbohydrate counting.

Exclusion Criteria:

  • Presence of malabsorption disorders;
  • Presence of chronic diabetes complications.

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

  • Primary Purpose: Treatment
  • Allocation: Randomized
  • Interventional Model: Crossover Assignment
  • Masking: None (Open Label)

Arms and Interventions

Participant Group / Arm
Intervention / Treatment
No Intervention: Announced meal (AM)
Participants followed their usual therapy while consuming both the "CHO meal" and the "mixed meal" three times each. In this phase, the carbohydrate content of each meal was announced to the insulin pump, and pre-meal boluses were delivered as per standard practice.
Experimental: Unannounced meal (UM)
Participants consumed the same meals, an equal number of times, without announcing their carbohydrate intake to the device. Consequently, no user-initiated boluses were administered during this period, and all insulin delivery adjustments were determined exclusively by the algorithm.
Participants consumed both the "CHO meal" and the "mixed meal" three times each, without announcing their carbohydrate intake to the device. Consequently, no user-initiated boluses were administered during this period, and all insulin delivery adjustments were determined exclusively by the algorithm.

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Change in blood glucose concentration from pre-meal to two hours post-meal (2h-ΔBG), as measured by CGM in mg/dl
Time Frame: from pre-meal to two hours post-meal
Change in blood glucose concentration from pre-meal to two hours post-meal (2h-ΔBG), as measured by CGM
from pre-meal to two hours post-meal

Secondary Outcome Measures

Outcome Measure
Time Frame
Pre- and post-meal four-hour glucose difference (4h-ΔBG), as measured by CGM in mg/dl
Time Frame: from pre-meal to four hour postprandial
from pre-meal to four hour postprandial
Peak CGM value in mg/dl
Time Frame: from pre-meal to four hour postprandial
from pre-meal to four hour postprandial
Time to peak CGM value
Time Frame: from pre-meal to four hour postprandial
from pre-meal to four hour postprandial
Percentage of spent time in range (TIR, 70-180 mg/dL), as measured by CGM
Time Frame: from pre-meal to four hour postprandial
from pre-meal to four hour postprandial
Percentage of spent time in tight range (TITR, 70-140 mg/dL), as measured by CGM
Time Frame: from pre-meal to four hour postprandial
from pre-meal to four hour postprandial
Percentage of spent time below range (TBR, < 70 mg/dL), as measured by CGM
Time Frame: from pre-meal to four hour postprandial
from pre-meal to four hour postprandial
Percentage of spent time above range (TAR, > 180 mg/dL), as measured by CGM
Time Frame: from pre-meal to four hour postprandial
from pre-meal to four hour postprandial
Percentage of spent time in second-level TAR (> 250 mg/dL), as measured by CGM
Time Frame: from pre-meal to four hour postprandial
from pre-meal to four hour postprandial

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Sponsor

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

April 20, 2025

Primary Completion (Actual)

May 20, 2025

Study Completion (Actual)

May 20, 2025

Study Registration Dates

First Submitted

February 23, 2026

First Submitted That Met QC Criteria

March 2, 2026

First Posted (Actual)

March 6, 2026

Study Record Updates

Last Update Posted (Actual)

March 6, 2026

Last Update Submitted That Met QC Criteria

March 2, 2026

Last Verified

March 1, 2026

More Information

Terms related to this study

Other Study ID Numbers

  • CRUMB Study

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

NO

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

product manufactured in and exported from the U.S.

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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