CGMHYPO: Effect of CGM With Predictive Alarm on Hypoglycemia in Young Patients With T1D.
Study Details
Study Description
Brief Summary
The use of continuous glucose monitoring (CGM) is becoming the new standard in glycometabolic control in patients with Type 1 Diabetes Mellitus (T1DM) even in subjects in multiple daily insulin injections (MDI). Compared to self-monitoring of blood glucose (SMBG), the CGM systems allow continuous monitoring of the glycemic trends contributing to modify the therapeutic habits of adult and pediatric patients with T1DM and allowing to better managing of critical situations such as hypoglycemia. Recently, the accuracy and reliability performance of the latest generation of CGMs using predictive alarm for hypoglycaemia and hyperglycemia has been compared to other commercially available CGM systems, showing good levels of concordance.
The use of this new technology, through the continuous monitoring of the pre-and post-prandial glucose levels and the evaluation of the glycemic trends, could influence the therapeutic habits of patients and could substantially contribute to modifying insulin therapy. Furthermore, the presence of the predictive alarm technology for hypoglycemia could lead to reduce the number of hypoglycemic episodes and to modify the way these hypoglycemic episodes are managed; moreover, the use of this technology could improve the time spent in the target glycemic range [Time in Range (TIR), 70-180 mg/dl] with possible improvement also in glycemic variability control.
Condition or Disease | Intervention/Treatment | Phase |
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N/A |
Study Design
Arms and Interventions
Arm | Intervention/Treatment |
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Experimental: Predictive Alarm (PA) Patients use the CGM sensor with Predictive Alarm on set at 70 mg/dl in 20 minutes for hypoglycemia and at 250 mg/dl in 20 minutes for hyperglycemia. |
Device: Use of Predictive Alarm for hypoglycaemia or hyperglycaemia
Patients use CGM sensor with Predictive Alarm set at 70 mg/dl in 20 minutes for hypoglycemia and at 250 mg/dl in 20 minutes for hyperglycemia.
in case of alarm from the hypoglycemia predictive algorithm, the indicated treatment was 0.1g of sugar/kg of body weight;
in case of alarm from the hyperglycemia predictive algorithm, the indication was to give an extra shot of rapid-acting insulin. The dose will be calculated on the basis of personal insulin sensitivity factor (ISF), considering as target a blood glucose of 120 mg/dl and 250 mg/dl as the projected blood glucose level that will be reached in 20 minutes. This could be done only if there is no active insulin on-board, after at least 3 hours from the last rapid-acting insulin injection.
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Active Comparator: Alarm on Threshold (AoT) Patients use the CGM sensor with alarms on a threshold of 70 mg/dl for hypoglycemia and 250 mg/dl for hyperglycemia. |
Device: Use of Alarm on Threshold for hypoglycaemia or hyperglycaemia
in case of alarm of hypoglycemia, the indicated treatment was 0.3g of sugar/kg of body weight, max 15g.
in case of alarm of hyperglycemia, the indication will be to give an extra shot of rapid-acting insulin. The dose will be calculated on the basis of personal insulin sensitivity factor (ISF), considering as target a blood glucose of 120 mg/dl and 250 mg/dl as blood glucose level to correct. This could be done only if there is no active insulin on-board, after at least 3 hours from the last rapid-acting insulin injection.
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Outcome Measures
Primary Outcome Measures
- Less time spent in hypoglycaemia using Predictive Alarm vs Alarm on Threshold [2 weeks CGM data with PA vs 2 weeks CGM data with AoT]
the difference in the percentage of time spent below 70 mg/dl (TBR < 70 mg/dl) between the Alarm on Threshold (AoT) and the Predictive Alarm (PA) arms after 2 weeks of treatment
Secondary Outcome Measures
- Better glycemic metrics using Predictive Alarm vs Alarm on Threshold [2 weeks CGM data with PA vs 2 weeks CGM data with AoT]
the difference in the percentage of time spent in 70-180 mg/dl range (TIR) between the Alarm on Threshold (AoT) and Predictive Alarm (PA) arms after 2 weeks of treatment (V2 vs V1 and V4 vs V3); the difference in the percentage of time spent above 250 mg/dl (TAR > 250 mg/dl) between the Alarm on Threshold and Predictive Alarm arms after 2 weeks of treatment (V2 vs V1 and V4 vs V3). the difference in main glucose metrics (%TIR, %TBR, %TAR) and glucose variability measures (SD, %CV, MAG, MAGE, HBGI, LBGI, ADRR, CONGA, MODD) between Group A (PA/AoT) and Group B (AoT/PA) at the end of the treatment period (V4) vs baseline (V1)
Eligibility Criteria
Criteria
Inclusion Criteria:
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T1DM for at least 12 months [assessed by positivity of at least one of the antibodies against islet cells (ICA), insulin (IAA), glutamate dehydroxylase (GADA), islet antigen 2 (IA2A), or Zinc Transporter 8 Antibodies (ZnT8)];
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MDI therapy from at least 6 months with basal-bolus treatment (long acting insulin analog plus rapid acting insulin analogue);
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HbA1c < 9.0%
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normal weight (BMI <85th percentile for age and gender);
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no other chronic diseases (thyroiditis, celiac disease, etc) or eating behavior disorders (DCA);
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signed informed consent from parents or legal guardians and patients (<18 y).
Exclusion Criteria:
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T1DM for less than 12 months;
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CSII therapy
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Previous usage of CGM with predictive alarm for hypoglycemia or hyperglycemia
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MDI therapy from less than 6 months
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use of regular insulin instead of rapid acting insulin analogue;
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other chronic diseases (thyroiditis, celiac disease, etc.) or eating behavior disorders (DCA).
Contacts and Locations
Locations
Site | City | State | Country | Postal Code | |
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1 | Pediatric Diabetes and Metabolic Disorders Unit, Surgery, Dentistry, Paediatrics and Gynaecology, University of Verona, 1 Piazzale Stefani | Verona | Italy | 37126 |
Sponsors and Collaborators
- Azienda Ospedaliera Universitaria Integrata Verona
Investigators
None specified.Study Documents (Full-Text)
None provided.More Information
Publications
- Christiansen MP, Garg SK, Brazg R, Bode BW, Bailey TS, Slover RH, Sullivan A, Huang S, Shin J, Lee SW, Kaufman FR. Accuracy of a Fourth-Generation Subcutaneous Continuous Glucose Sensor. Diabetes Technol Ther. 2017 Aug;19(8):446-456. doi: 10.1089/dia.2017.0087. Epub 2017 Jul 12.
- Rodbard D. Continuous Glucose Monitoring: A Review of Recent Studies Demonstrating Improved Glycemic Outcomes. Diabetes Technol Ther. 2017 Jun;19(S3):S25-S37. doi: 10.1089/dia.2017.0035.
- Sherr JL, Tauschmann M, Battelino T, de Bock M, Forlenza G, Roman R, Hood KK, Maahs DM. ISPAD Clinical Practice Consensus Guidelines 2018: Diabetes technologies. Pediatr Diabetes. 2018 Oct;19 Suppl 27:302-325. doi: 10.1111/pedi.12731. No abstract available.
- Slover RH, Tryggestad JB, DiMeglio LA, Fox LA, Bode BW, Bailey TS, Brazg R, Christiansen MP, Sherr JL, Tsalikian E, Kaiserman KB, Sullivan A, Huang S, Shin J, Lee SW, Kaufman FR. Accuracy of a Fourth-Generation Continuous Glucose Monitoring System in Children and Adolescents with Type 1 Diabetes. Diabetes Technol Ther. 2018 Sep;20(9):576-584. doi: 10.1089/dia.2018.0109. Epub 2018 Jul 31.
- Taleb N, Emami A, Suppere C, Messier V, Legault L, Chiasson JL, Rabasa-Lhoret R, Haidar A. Comparison of Two Continuous Glucose Monitoring Systems, Dexcom G4 Platinum and Medtronic Paradigm Veo Enlite System, at Rest and During Exercise. Diabetes Technol Ther. 2016 Sep;18(9):561-7. doi: 10.1089/dia.2015.0394. Epub 2016 Jun 29.
- 3142CESC