Trial Radar KI | ||
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Die klinische Studie NCT06453434 (DIASELF) für Typ-1-Diabetes ist noch nicht rekrutierend. In der Kartenansicht des Klinische Studien Radar und den KI-Entdeckungstools finden Sie alle Details. Oder stellen Sie hier Ihre Fragen. | ||
Eine Studie entspricht den Filterkriterien
Kartenansicht
Diabetes Self-management With Continuous Glucose Monitoring (DIASELF) 500 Beobachtend
Die Details der klinischen Studie sind hauptsächlich auf Englisch verfügbar. Trial Radar KI kann jedoch helfen! Klicken Sie einfach auf 'Studie erklären', um die Informationen zur Studie in der ausgewählten Sprache anzuzeigen und zu besprechen.
Die klinische Studie NCT06453434 (DIASELF) ist eine beobachtungsstudie zur Untersuchung von Typ-1-Diabetes und hat den Status noch nicht rekrutierend. Der Start ist für 1. Juli 2024 geplant, bis 500 Teilnehmer aufgenommen werden. Durchgeführt von Nordsjaellands Hospital wird der Abschluss für 1. August 2026 erwartet. Die Daten von ClinicalTrials.gov wurden zuletzt am 11. Juni 2024 aktualisiert.
Kurzbeschreibung
The overall goal of this observational study is to investigate the interaction between people with type 1 diabetes and continuous glucose monitoring (CGM) and the impact of this interaction on quality of life, particularly the level of diabetes distress, and glycaemic metrics.
Participants will:
- Visit the clinic twice with a 14-day interval
- Fill out a survey before the first and at the last visit
- Use CGM as u...
Ausführliche Beschreibung
A two-centre observational study conducted in Denmark, including adults with type 1 diabetes (n=500) on multiple daily injections already using FreeStyle Libre 2.
Upon recruitment, participants will complete a survey of 11 validated questionnaires, including T1-DDS-28. For 14 days, participants will continue regular CGM use, smart insulin pens will record real-time insulin dosage, and an activity sensor will monitor...
Mehr anzeigenOffizieller Titel
The Impact of Continuous Glucose Monitoring Based Self-management on Patient-Reported Outcomes and Glycaemia in Type 1 Diabetes
Erkrankungen
Typ-1-DiabetesPublikationen
Wissenschaftliche Artikel und Forschungspapiere zu dieser klinischen Studie:Weitere Studien-IDs
- DIASELF
- U1111-1306-6133
NCT-Nummer
Studienbeginn (tatsächlich)
2024-07-01
Zuletzt aktualisiert
2024-06-11
Studienende (vorauss.)
2026-08
Geplante Rekrutierung
500
Studientyp
Beobachtungsstudie
Status
Noch nicht rekrutierend
Stichwörter
Continuous Glucose Monitoring
Self-management
Diabetes Technology
Type 1 Diabetes
Diabetes Distress
Patient-reported Outcomes
Self-management
Diabetes Technology
Type 1 Diabetes
Diabetes Distress
Patient-reported Outcomes
Hauptergebnismessungen
Nebenergebnismessungen
| Ergebnismessung | Beschreibung der Messung | Zeitrahmen |
|---|---|---|
Diabetes Distress | Type 1 Diabetes Distress Scale (T1-DDS-28)) Score. Likert scale. Score from 1 to 5. Higher scores indicate higher grade of diabetes distress. | At baseline and after 14 days. |
| Ergebnismessung | Beschreibung der Messung | Zeitrahmen |
|---|---|---|
Time in range (TIR) | Time in range defined as the percentage of time the sensor glucose is 3.9-10.0 mmol/L (70-180 mg/dL) | 14 days |
Time in tight range (TIR) | The percentage of time the sensor glucose is 3.9-7.8 mmol/L (70-140 mg/dL) | 14 days |
Time below range level 1 (TBR1) | The percentage of time the sensor glucose is 3.0-3.9 mmol/L (54-70 mg/dL) | 14 days |
Time below range level 2 (TBR2) | The percentage of time the sensor glucose is \<3.0 mmol/L (\<54 mg/dL) | 14 days |
TBR1 night | TBR 3.0-3.9 from 0000h to 0559h, level 1 night | 14 days |
TBR1 day | TBR 3.0-3.9 from 0600h to 2359h, level 1 day | 14 days |
TBR2 night | TBR \<3.0 from 0000h to 0559h, level 2 night | 14 days |
TBR2 day | TBR \<3.0 from 0600h to 2359h, level 2 day | 14 days |
Time above range level 1 (TAR1) | The percentage of time the sensor glucose is 10.1-13.9 mmol/L (181-250 mg/dL) | 14 days |
Time above range level 2 (TAR2) | The percentage of time the sensor glucose is 13.9 mmol/L (\>250 mg/dL) | 14 days |
TAR1 night | TAR1 10.1-13.9 from 0000h to 0559h, level 1 night | 14 days |
TAR1 day | TAR1 10.1-13.9 from 0600h to 2359h, level 1 day | 14 days |
TAR2 night | TAR2 \>13.9 from 0000h to 0559h, level 1 night | 14 days |
TAR2 day | TAR2 \>13.9 from 0600h to 2359h, level 1 day | 14 days |
Coefficient of variation (CV) | Measure of glucose variability. Calculated as 100 x (SD divided by mean glucose) | 14 days |
Mean sensor glucose | Mean sensor glucose (mmol/L and mg/dL) | 14 days |
Standard deviation of mean glucose (SD) | Standard deviation of mean glucose (SD) (mmol/L and mg/dL) | 14 days |
Teilnahme-Assistent
Eignungskriterien
Zugelassene Altersgruppen
Erwachsene, Ältere Erwachsene
Mindestalter
18 Years
Zugelassene Geschlechter
Alle
- Age between 18 and 85 years.
- Diagnosed with T1D over one year ago.
- Actively using FreeStyle Libre 2 (>80% sensor activity).
- Used FreeStyle Libre 2 for over three months.
- Uses multiple daily insulin injections.
- Capable of providing written informed consent.
- Willing and able to complete study procedures, including using smart caps or pens and completing questionnaires at the investigator's discretion.
- History of allergic reactions to materials or adhesives used in CGM devices.
- Presence of severe cognitive or psychiatric conditions that could hinder the effective use of CGM or smart caps or pens - at the investigator's discretion.
- Current use of steroids unless part of a chronic therapy plan.
- Daily consumption of vitamin C ≥ 500 mg.
Zentrale Studienkontakte
Kontakt: Mette J Nitschke, PhD Student, +45 41 24 72 16, [email protected]
Kontakt: Ulrik Pedersen-Bjergaard, Professor, [email protected]
2 Studienstandorte in 1 Ländern
Capital Region
Steno Diabetes Center Copenhagen, Herlev, Capital Region, 2730, Denmark
Kirsten Nørgaard, Professor, Kontakt, +45 27 13 10 11, [email protected]
Kirsten Nørgaard, Professor, Hauptprüfer
Copenhagen University Hospital, North Zealand - Hilleroed, Hillerød, Capital Region, 3400, Denmark
Mette J Nitschke, PhD student, Kontakt, +45 41 24 72 16, [email protected]
Mette J Nitschke, PhD student, Prüfarzt
Ulrik Pedersen-Bjergaard, Professor, Hauptprüfer