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Effect of CGM With Predictive Alarm on Hypoglycemia in Young Patients With T1D. (CGMHYPO)

Impact of Continuous Glucose Monitoring (CGM) With Predictive Alarm for Hypoglycemia (Guardian Connect System) on Glycemic Control and Hypoglycemia Management in a Group of Adolescents With Type 1 Diabetes Mellitus Treated With Multiple Daily Insulin Injections (MDI).

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.

Studieoversikt

Studietype

Intervensjonell

Registrering (Faktiske)

20

Fase

  • Ikke aktuelt

Kontakter og plasseringer

Denne delen inneholder kontaktinformasjon for de som utfører studien, og informasjon om hvor denne studien blir utført.

Studiesteder

      • Verona, Italia, 37126
        • Pediatric Diabetes and Metabolic Disorders Unit, Surgery, Dentistry, Paediatrics and Gynaecology, University of Verona, 1 Piazzale Stefani

Deltakelseskriterier

Forskere ser etter personer som passer til en bestemt beskrivelse, kalt kvalifikasjonskriterier. Noen eksempler på disse kriteriene er en persons generelle helsetilstand eller tidligere behandlinger.

Kvalifikasjonskriterier

Alder som er kvalifisert for studier

12 år til 17 år (Barn)

Tar imot friske frivillige

Nei

Kjønn som er kvalifisert for studier

Alle

Beskrivelse

Inclusion Criteria:

  • 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)];
  • MDI therapy from at least 6 months with basal-bolus treatment (long acting insulin analog plus rapid acting insulin analogue);
  • HbA1c < 9.0%
  • normal weight (BMI <85th percentile for age and gender);
  • no other chronic diseases (thyroiditis, celiac disease, etc) or eating behavior disorders (DCA);
  • signed informed consent from parents or legal guardians and patients (<18 y).

Exclusion Criteria:

  • T1DM for less than 12 months;
  • CSII therapy
  • Previous usage of CGM with predictive alarm for hypoglycemia or hyperglycemia
  • MDI therapy from less than 6 months
  • use of regular insulin instead of rapid acting insulin analogue;
  • other chronic diseases (thyroiditis, celiac disease, etc.) or eating behavior disorders (DCA).

Studieplan

Denne delen gir detaljer om studieplanen, inkludert hvordan studien er utformet og hva studien måler.

Hvordan er studiet utformet?

Designdetaljer

  • Primært formål: Behandling
  • Tildeling: Randomisert
  • Intervensjonsmodell: Crossover-oppdrag
  • Masking: Ingen (Open Label)

Våpen og intervensjoner

Deltakergruppe / Arm
Intervensjon / Behandling
Eksperimentell: 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.

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.

  1. in case of alarm from the hypoglycemia predictive algorithm, the indicated treatment was 0.1g of sugar/kg of body weight;
  2. 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.
Aktiv komparator: 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.

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.

Hva måler studien?

Primære resultatmål

Resultatmål
Tiltaksbeskrivelse
Tidsramme
Less time spent in hypoglycaemia using Predictive Alarm vs Alarm on Threshold
Tidsramme: 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
2 weeks CGM data with PA vs 2 weeks CGM data with AoT

Sekundære resultatmål

Resultatmål
Tiltaksbeskrivelse
Tidsramme
Better glycemic metrics using Predictive Alarm vs Alarm on Threshold
Tidsramme: 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)

2 weeks CGM data with PA vs 2 weeks CGM data with AoT

Samarbeidspartnere og etterforskere

Det er her du vil finne personer og organisasjoner som er involvert i denne studien.

Publikasjoner og nyttige lenker

Den som er ansvarlig for å legge inn informasjon om studien leverer frivillig disse publikasjonene. Disse kan handle om alt relatert til studiet.

Generelle publikasjoner

Studierekorddatoer

Disse datoene sporer fremdriften for innsending av studieposter og sammendragsresultater til ClinicalTrials.gov. Studieposter og rapporterte resultater gjennomgås av National Library of Medicine (NLM) for å sikre at de oppfyller spesifikke kvalitetskontrollstandarder før de legges ut på det offentlige nettstedet.

Studer hoveddatoer

Studiestart (Faktiske)

10. mai 2021

Primær fullføring (Faktiske)

28. mars 2022

Studiet fullført (Faktiske)

10. juni 2022

Datoer for studieregistrering

Først innsendt

7. oktober 2022

Først innsendt som oppfylte QC-kriteriene

7. oktober 2022

Først lagt ut (Faktiske)

10. oktober 2022

Oppdateringer av studieposter

Sist oppdatering lagt ut (Faktiske)

10. oktober 2022

Siste oppdatering sendt inn som oppfylte QC-kriteriene

7. oktober 2022

Sist bekreftet

1. juli 2022

Mer informasjon

Begreper knyttet til denne studien

Plan for individuelle deltakerdata (IPD)

Planlegger du å dele individuelle deltakerdata (IPD)?

NEI

Legemiddel- og utstyrsinformasjon, studiedokumenter

Studerer et amerikansk FDA-regulert medikamentprodukt

Nei

Studerer et amerikansk FDA-regulert enhetsprodukt

Nei

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