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Efficacy and Safety of the Minimed 780G® Advanced Hybrid Closed Loop System (AHCL) in Patients With Type 1 Diabetes Undergoing Surgery

Conditions
Type 1 Diabetes (T1D)
Surgery, Day
Registration Number
NCT06947031
Lead Sponsor
Hospital Universitario San Ignacio
Brief Summary

An analytical observational study based on a cohort of patients who received training at San Ignacio University Hospital. Glycemic control metrics were compared between the perioperative and postoperative periods and the preoperative period using a paired t test. Glycemic control metrics were compared between the preoperative, intraoperative, and postoperative periods using a paired t test. Finally, a subgroup analysis was performed based on the type of procedure, percentage of sensor use, and duration of diabetes.

Detailed Description

Patients using the Minimed 780G device who completed training and clinical follow-up in the Endocrinology Unit of San Ignacio University Hospital. Through the clinical follow-up established by the unit, patients must inform their physicians if they will be undergoing elective surgery or contact the medical team if they require emergency surgery during the recruitment period.

Data Collection Prior to the Surgical Procedure Once enrolled in the study, information about the surgical procedure will be collected, including the type of procedure and approximate duration. Patients will then be asked to upload their data for viewing on the Medtronic Carelink platform https://carelink.minimed.com/app/login. Glucose monitoring data from the 14 days prior to the surgical procedure will be downloaded from this platform for subsequent analysis.

Prior to the Surgical Procedure The downloaded data will be analyzed prior to the surgical procedure. According to standard clinical practice, a %TBR time under range (\<54 mg/dL) or %TBR time under range (\<70 mg/dL) greater than 4% will be identified, and the target glucose will be increased by 10 mg/dL relative to the previously established value. This is to reduce the risk of perioperative hypoglycemia.

Data Collection After the Surgical Procedure Once the surgical procedure is complete, data on glycemic control will be downloaded again during the surgical period and the following 14 days. The data will be analyzed according to the Consensus for CGM Metrics in Inpatient Clinical Trials published in 2023 in the Journal of Diabetes Science and Technology, presented later in the text. This consensus aims to identify the most important metrics to measure in CGM studies in patients in the hospital setting and recommend target values for these metrics (32).

Once the patient is discharged, they will be contacted to confirm information about the surgical procedure, such as type of anesthesia, duration of surgery, and postoperative complications, whether related to infectious processes or poor glycemic control.

Data Analysis

The specific metrics mentioned in the Consensus for Continuous Glucose Monitoring Metrics in Inpatient Clinical Trials (22) are described below:

Recruitment & Eligibility

Status
ENROLLING_BY_INVITATION
Sex
All
Target Recruitment
15
Inclusion Criteria

Patients older than 18 years AHCL (Minimed 780G) users undergoing elective and urgent surgery during the study period.

Exclusion Criteria

Patients whose pump use was discontinued during the perioperative period. Pregnant patients. Patients without sensor data in the 2 weeks before and after surgery.

Study & Design

Study Type
OBSERVATIONAL
Study Design
Not specified
Primary Outcome Measures
NameTimeMethod
Time in rangeDuration fo the surgery

Time spent in the range of 100 - 180 mg/dl during the surgery

Secondary Outcome Measures
NameTimeMethod
Time below rangeDuration fo the surgery

To determine safety by the percentage of mean time below the 70 mg/dl range (TBR) in the perioperative period of surgical procedures.

THRHDuration fo the surgery

To investigate the association between 70-100mg/dl (time at high risk of hypoglycaemia, THRH) and TBR \<54mg/dl.

Trial Locations

Locations (1)

Hospital Universitario San Ignacio

🇨🇴

Bogota, Cundinamarca, Colombia

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