Effect of Advanced Hybrid Closed Loop System on Adjunctive Continuous Glucose Monitoring Metrics

NCT ID: NCT06334484

Last Updated: 2024-03-28

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

NOT_YET_RECRUITING

Total Enrollment

100 participants

Study Classification

OBSERVATIONAL

Study Start Date

2024-03-26

Study Completion Date

2026-03-26

Brief Summary

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Type 1 diabetes mellitus (T1DM) is an autoimmune disease characterized by pancreatic beta cells destruction, resulting in insulin secretion deficit (1). Insulin therapy is essential in the therapeutical management of subjects with T1DM (1). The Diabetes Complications and Control Trial (DCCT) has showed that intensive insulin treatment was associated with a reduction in the onset of complications related to diabetes. In recent years, treatment of T1DM evolved rapidly because of the significant improvements in the use of technology (2). With the spread of continuous glucose monitoring (CGM) systems, standardized metrics, summarizing time spent within optimal glucose range (time in range - TIR), time below target glucose range (TBR) and time above target glucose range (TAR), have become commonly used metrics in clinical practice (3,4). Furthermore, glucose management indicator (GMI) estimates glycated haemoglobin from the average glucose level of CGM readings for 14 days and coefficient of variation (CV) evaluates the amplitude of glucose excursions.

Advanced hybrid closed loop (AHCL) systems combine insulin pump infusion and real time CGM (rtCGM) data through an algorithm: they suspend insulin infusion if hypoglycaemia is expected and can administer automatic corrective boluses in case of hyperglycaemia (6). Different algorithms, as Model Predictive Control (MPC) or Proportional-Integral-Derivative (PID), are used by different systems available on the market and are currently used in clinical practice. Overall, AHCL are associated with improvement of glycated hemoglobin (HbA1c) and TIR opening to the possibility to gain even tighter glycemic control.

The primary objective is therefore to evaluate the glycemic improvement expressed through adjunctive CGM metrics in subjects with T1DM 24 months after starting AHCL therapy

Detailed Description

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Conditions

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Diabetes Mellitus, Type 1

Study Design

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Observational Model Type

COHORT

Study Time Perspective

RETROSPECTIVE

Interventions

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Advanced hybrid closed loop systems

Collect data from advanced hybrid closed loop users

Intervention Type DEVICE

Eligibility Criteria

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Inclusion Criteria

1. Informed consent signed before any activity related to the study
2. Age ≥18 years, both sexes
3. Start of AHCL for at least 6 months before enrollment (from 01/01/2021 to 31/12/2023).

Exclusion Criteria

1\. Diagnosis of type 2 diabetes mellitus or other forms of diabetes, such as metasteroid diabetes, secondary to pancreatectomy, related to pancreatitis or secondary to endocrinological disorders, gestational diabetes, maturity-onset diabetes of the young (MODY).
Minimum Eligible Age

18 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

No

Sponsors

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Fondazione Policlinico Universitario Agostino Gemelli IRCCS

OTHER

Sponsor Role lead

Responsible Party

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Responsibility Role SPONSOR

Locations

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Fondazione Policlinico Universitario A. Gemelli IRCCS

Roma, , Italy

Site Status

Countries

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Italy

Central Contacts

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Dario DFP Pitocco, Prof.

Role: CONTACT

3491924858

Facility Contacts

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DARIO PITOCCO

Role: primary

+390630155701

Other Identifiers

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6413

Identifier Type: -

Identifier Source: org_study_id

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