Automated Insulin Delivery in Elderly With Type 1 Diabetes (AIDE T1D)

NCT ID: NCT04016662

Last Updated: 2025-01-15

Study Results

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Basic Information

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Recruitment Status

COMPLETED

Clinical Phase

PHASE4

Total Enrollment

82 participants

Study Classification

INTERVENTIONAL

Study Start Date

2020-09-28

Study Completion Date

2024-01-05

Brief Summary

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A multi-center, randomized, crossover trial consisting of three sequential 12-week periods, with the HCL feature used during one period, the PLGS feature used during one period and SAP therapy (control) during one period. The crossover trial will be preceded by a run-in phase in which participants will receive training using the study devices (Dexcom G6 and Tandem t:slim X2 pump). After the last crossover period, participants will be given the opportunity to use study devices for an additional 12 weeks to assess preference of system use (PLGS, HCL or SAP) and associated characteristics, durability and safety in a more real-world setting with less frequent study contact.

Detailed Description

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Automated insulin delivery (AID) technologies hold the promise of optimizing glycemic control and reducing the burden of diabetes care for patients with Type 1 Diabetes (T1D). However, clinical trials of lower burden AID technologies have not included older adults in sufficient numbers to allow for focused evaluation of efficacy and quality of life (QOL) impacts that may differ from those observed in younger age groups. Most notably, primary endpoints have focused on reducing hyperglycemia, while avoidance of hypoglycemia is of upmost concern for older adults with T1D. T1D Exchange clinic registry data have shown severe hypoglycemia (SH) occurs more commonly in older adults with longstanding T1D than in younger individuals with events occurring just as often with HbA1c levels \>8.0% as with HbA1c levels \<7.0%. These data do not support the strategy of "raising the HbA1c" as being an effective approach for hypoglycemia prevention in older adults with T1D. In addition to acutely altered mental status, hypoglycemia is associated with an increased risk for falls leading to fractures, car accidents, emergency room (ER) visits, hospitalizations, and mortality resulting in substantial societal costs. The occurrence of hypoglycemia, hypoglycemia unawareness and fear of hypoglycemia have adverse effects on overall QOL of both individuals with T1D and their families.

While continuous glucose monitoring (CGM) technology alone has the potential to be beneficial in reducing hypoglycemia in older patients, our preliminary data from the Wireless Innovations for Seniors with Diabetes Mellitus (WISDM) trial shows a majority of patients still have frequent hypoglycemia even when using CGM. Thus, knowledge of CGM alone may not be sufficient to avoid hypoglycemia in this population. Predictive low-glucose suspend algorithms have particular promise when the primary goal is hypoglycemia avoidance rather than glucose reduction. Whether the added complexity of closed loop systems provides additional glycemic benefit is not known. There is a critical need to determine whether automated insulin delivery can reduce hypoglycemia in the older adult population with T1D.

Conditions

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Type 1 Diabetes Mellitus

Study Design

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Allocation Method

RANDOMIZED

Intervention Model

CROSSOVER

Randomized crossover trial with three 12-week crossover periods (HCL during one period, PLGS during one period, and SAP therapy (control) during one period) preceded by a run-in phase.
Primary Study Purpose

TREATMENT

Blinding Strategy

NONE

Study Groups

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Hybrid Closed Loop Control (HCL)

The HCL intervention arm will utilize the Tandem t:slim X2 with Control-IQ Technology and Dexcom G6 CGM

Group Type ACTIVE_COMPARATOR

Tandem t:slim X2 with HCL or PLGS

Intervention Type DEVICE

The system components include the t:slim X2 with Control-IQ Technology and the Dexcom CGM G6. The modular control algorithm has a safety supervision module that limits insulin delivery to prevent hypoglycemia at all times. The algorithm gradually decreases hyperglycemia from bedtime to reach a target of 120 mg/dL by waking time. During awake hours, the control algorithm attempts to maintain glucose within a target range (112.5 to 160 mg/dL) with meal time insulin boluses delivered based on usual bolus procedures undertaken by patients on an insulin pump (Hybrid closed loop).

The system components include the t:slim X2 with with Basal-IQ Technology and the Dexcom CGM G6. The PLGS System is able to stop and resume basal insulin delivery automatically in response to predicted or low sensor glucose values, thereby reducing the incidence and duration of hypoglycemic episodes. The pump includes the hypoglycemia minimization strategy that will issue insulin delivery commands.

Predictive Low-Glucose Insulin Suspension (PLGS)

The PLGS intervention arm will utilize the Tandem t:slim X2 with Basal-IQ Technology and Dexcom G6 CGM

Group Type ACTIVE_COMPARATOR

Tandem t:slim X2 with HCL or PLGS

Intervention Type DEVICE

The system components include the t:slim X2 with Control-IQ Technology and the Dexcom CGM G6. The modular control algorithm has a safety supervision module that limits insulin delivery to prevent hypoglycemia at all times. The algorithm gradually decreases hyperglycemia from bedtime to reach a target of 120 mg/dL by waking time. During awake hours, the control algorithm attempts to maintain glucose within a target range (112.5 to 160 mg/dL) with meal time insulin boluses delivered based on usual bolus procedures undertaken by patients on an insulin pump (Hybrid closed loop).

The system components include the t:slim X2 with with Basal-IQ Technology and the Dexcom CGM G6. The PLGS System is able to stop and resume basal insulin delivery automatically in response to predicted or low sensor glucose values, thereby reducing the incidence and duration of hypoglycemic episodes. The pump includes the hypoglycemia minimization strategy that will issue insulin delivery commands.

Sensor-Augmented Pump (SAP)

The SAP arm will utilize the Tandem t:slim X2 without HCL or PLGS features turned on and Dexcom G6 CGM

Group Type NO_INTERVENTION

No interventions assigned to this group

Interventions

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Tandem t:slim X2 with HCL or PLGS

The system components include the t:slim X2 with Control-IQ Technology and the Dexcom CGM G6. The modular control algorithm has a safety supervision module that limits insulin delivery to prevent hypoglycemia at all times. The algorithm gradually decreases hyperglycemia from bedtime to reach a target of 120 mg/dL by waking time. During awake hours, the control algorithm attempts to maintain glucose within a target range (112.5 to 160 mg/dL) with meal time insulin boluses delivered based on usual bolus procedures undertaken by patients on an insulin pump (Hybrid closed loop).

The system components include the t:slim X2 with with Basal-IQ Technology and the Dexcom CGM G6. The PLGS System is able to stop and resume basal insulin delivery automatically in response to predicted or low sensor glucose values, thereby reducing the incidence and duration of hypoglycemic episodes. The pump includes the hypoglycemia minimization strategy that will issue insulin delivery commands.

Intervention Type DEVICE

Other Intervention Names

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Tandem t:slim X2 with Control-IQ Technology Tandem t:slim X2 with Basal-IQ Technology

Eligibility Criteria

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Inclusion Criteria

1. Clinical diagnosis of type 1 diabetes
2. Age ≥ 65 years old
3. T1D Duration of at least 1 year
4. HbA1c \< 10.0% from point of care or local lab within the past 6 months
5. Insulin regimen involves basal/bolus insulin via insulin pump or multiple daily injections
6. Most recent GFR ≥ 30 ml/min/m\^2 from local lab within the past 6 months
7. Willingness to use a rapid acting insulin compatible with the Tandem t:slim X2 pump (currently aspart and lispro; other rapid acting insulins likely to be approved for pump use prior to study initiation such as Fiasp)
8. Familiarity with and willingness to use a carbohydrate ratio for meal boluses
9. Willing to use study devices and automated insulin delivery features
10. Ability to download study devices at home or if not able to download at home willing to come into clinic to bring devices for download of data at visits and as needed for safety
11. Participant is independently managing his/her diabetes with respect to insulin administration and glucose monitoring (may include assistance from spouse or other caregiver)
12. Participant understands the study protocol, agrees to comply with it and is able to successfully pass the consent understanding assessment with no more than 2 attempts
13. Participant comprehends written and spoken English
14. At least 240 hours of CGM readings available during the end of run-in assessment
15. At least 1.5% of time with CGM glucose levels \< 70 mg/dL prior to SAP initiation
16. Active prescription for glucagon and willing and able to have glucagon available

Exclusion Criteria

1. Use of PLGS technology or HCL insulin delivery in the past 1 month
2. History of 1 or more Diabetic Ketoacidosis episodes in the previous 6 months
3. Clinical diagnosis by a primary care provider, neurologist or psychiatrist of dementia, in the investigator's opinion a suspected severe cognitive impairment such that it would preclude ability to understand the study or use devices, or a score of 6 or less out of 15 on the 5 min MoCA (5-min T MoCA Version 2.1) (mild cognitive impairment is not an exclusion)
4. A condition, which in the opinion of the investigator or designee, would put the participant or study at risk, including severe vision or hearing impairment and any contraindication to the use of any of the study devices per FDA labeling
5. Known adhesive allergy or skin reaction during the run-in pre-randomization phase or previous difficulty with pump and CGM insertions that would preclude participation in the randomized trial
6. Concurrent use of any non-insulin glucose-lowering agent other than metformin (including GLP-1 agonists, Symlin, DPP-4 inhibitors, SGLT-2 inhibitors, sulfonylureas)
7. Stage 4 or 5 renal disease
8. The presence of a significant medical or psychiatric condition or use of a medication that in the judgment of the investigator may affect completion of any aspect of the protocol, or is likely to be associated with life expectancy of \<1 year
Minimum Eligible Age

65 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

Yes

Sponsors

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National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK)

NIH

Sponsor Role collaborator

DexCom, Inc.

INDUSTRY

Sponsor Role collaborator

Tandem Diabetes Care, Inc.

INDUSTRY

Sponsor Role collaborator

University of Minnesota - Advanced Research and Diagnostic Laboratory

UNKNOWN

Sponsor Role collaborator

Mayo Clinic

OTHER

Sponsor Role collaborator

University of Pennsylvania

OTHER

Sponsor Role collaborator

AdventHealth Diabetes Institute

UNKNOWN

Sponsor Role collaborator

Washington State University

OTHER

Sponsor Role collaborator

Jaeb Center for Health Research

OTHER

Sponsor Role lead

Responsible Party

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Responsibility Role SPONSOR

Principal Investigators

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Robert Henderson, MS

Role: PRINCIPAL_INVESTIGATOR

Jaeb Center for Health Research

Locations

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AdventHealth Diabetes Institute

Orlando, Florida, United States

Site Status

Mayo Clinic

Rochester, Minnesota, United States

Site Status

SUNY Upstate

Syracuse, New York, United States

Site Status

University of Pennsylvania

Philadelphia, Pennsylvania, United States

Site Status

Countries

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United States

References

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Kudva YC, Henderson RJ, Kanapka LG, Weinstock RS, Rickels MR, Pratley RE, Chaytor N, Janess K, Desjardins D, Pattan V, Peleckis AJ, Casu A, Rizvi SR, Bzdick S, Whitaker KJ, Kamimoto JLJ, Miller K, Kollman C, Beck RW; AIDE Study Group. Automated Insulin Delivery in Elderly with Type 1 Diabetes: A Prespecified Analysis of the Extension Phase. Diabetes Technol Ther. 2025 Jul;27(7):572-575. doi: 10.1089/dia.2024.0560. Epub 2025 Mar 11.

Reference Type DERIVED
PMID: 40067490 (View on PubMed)

Kudva YC, Henderson RJ, Kanapka LG, Weinstock RS, Rickels MR, Pratley RE, Chaytor N, Janess K, Desjardins D, Pattan V, Peleckis AJ, Casu A, Rizvi SR, Bzdick S, Whitaker KJ, Jo Kamimoto JL, Miller K, Kollman C, Beck RW. Automated Insulin Delivery in Older Adults with Type 1 Diabetes. NEJM Evid. 2025 Jan;4(1):EVIDoa2400200. doi: 10.1056/EVIDoa2400200. Epub 2024 Dec 23.

Reference Type DERIVED
PMID: 39714936 (View on PubMed)

Provided Documents

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Document Type: Study Protocol

View Document

Document Type: Statistical Analysis Plan

View Document

Document Type: Informed Consent Form

View Document

Other Identifiers

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AIDE T1D

Identifier Type: -

Identifier Source: org_study_id

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