Effect of Heatwaves on Glycemic Control in People With Type 1 Diabetes Treated With Artificial Pancreas
HEAT1
1 other identifier
observational
193
1 country
9
Brief Summary
To analyze the effect of heatwaves on interstitial glucose in adult patients with type 1 diabetes mellitus treated with artificial pancreas
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P50-P75 for all trials
Started Jan 2024
Shorter than P25 for all trials
9 active sites
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
January 10, 2024
CompletedFirst Posted
Study publicly available on registry
January 22, 2024
CompletedStudy Start
First participant enrolled
January 22, 2024
CompletedPrimary Completion
Last participant's last visit for primary outcome
April 30, 2024
CompletedStudy Completion
Last participant's last visit for all outcomes
May 31, 2024
CompletedAugust 22, 2024
August 1, 2024
3 months
January 10, 2024
August 21, 2024
Conditions
Keywords
Outcome Measures
Primary Outcomes (1)
Change in time in range
Change in Time in range (TIR) 3.0-10 mmol/L (70-180 mg/d) of interstitial glucose from the heatwaves period to 14 days after its end
14 days
Secondary Outcomes (10)
Adherence to advaced hybrid closed-loop
14 days
Change in Time below range 1 (TBR1)
14 days
Change in Time below range 2 (TBR2)
14 days
Change in Time above range 1 (TAR1)
14 days
Change in Time above range 2 (TAR2)
14 days
- +5 more secondary outcomes
Study Arms (1)
Type 1 diabetes patients
Adult patients treated with advanced hybrid closed-loop in Castilla-La Mancha during summer 2023.
Interventions
An advanced hybrid closed-loop system is a type of insulin delivery system that uses an algorithm to automatically adjust insulin delivery based on glucose levels. It combines an insulin pump with a continuous glucose monitor (CGM) and uses a closed-loop algorithm to adjust insulin doses based on real-time glucose readings. The "hybrid" aspect refers to the fact that the system still requires some user input, such as entering meal information, but the algorithm takes over the majority of insulin dosing decisions.
Eligibility Criteria
Adult type 1 diabetes patients using AHCL during and after heatwaves in Castilla-La Mancha (Spain).
You may qualify if:
- Type 1 diabetes
- Older than 18 years old
- Using advanced hybrid closed-loop systems (AHCL)
- Paired active AHCL data from the heatwave periods and two consecutive weeks
You may not qualify if:
- Younger than 18 years old
- Not using AHCL
- Not having active paired AHCL data from the analyzed periods
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (9)
La Mancha-Centro Hospital
Alcázar de San Juan, Ciudad Real, 13600, Spain
Santa Barbara Hospital
Puertollano, Ciudad Real, 13500, Spain
Valdepeñas General Hospital
Valdepeñas, Ciudad Real, 13300, Spain
Virgen del Prado Hospital
Talavera de la Reina, Toledo, 45600, Spain
Albacete University Hospital
Albacete, 02006, Spain
Ciudad Real General University Hospital
Ciudad Real, 13005, Spain
Virgen de la Luz University Hospital
Cuenca, 16002, Spain
Guadalajara University Hospital
Guadalajara, 19002, Spain
Toledo University Hospital
Toledo, 45007, Spain
Related Publications (4)
Battelino T, Danne T, Bergenstal RM, Amiel SA, Beck R, Biester T, Bosi E, Buckingham BA, Cefalu WT, Close KL, Cobelli C, Dassau E, DeVries JH, Donaghue KC, Dovc K, Doyle FJ 3rd, Garg S, Grunberger G, Heller S, Heinemann L, Hirsch IB, Hovorka R, Jia W, Kordonouri O, Kovatchev B, Kowalski A, Laffel L, Levine B, Mayorov A, Mathieu C, Murphy HR, Nimri R, Norgaard K, Parkin CG, Renard E, Rodbard D, Saboo B, Schatz D, Stoner K, Urakami T, Weinzimer SA, Phillip M. Clinical Targets for Continuous Glucose Monitoring Data Interpretation: Recommendations From the International Consensus on Time in Range. Diabetes Care. 2019 Aug;42(8):1593-1603. doi: 10.2337/dci19-0028. Epub 2019 Jun 8.
PMID: 31177185BACKGROUNDSong X, Jiang L, Zhang D, Wang X, Ma Y, Hu Y, Tang J, Li X, Huang W, Meng Y, Shi A, Feng Y, Zhang Y. Impact of short-term exposure to extreme temperatures on diabetes mellitus morbidity and mortality? A systematic review and meta-analysis. Environ Sci Pollut Res Int. 2021 Nov;28(41):58035-58049. doi: 10.1007/s11356-021-14568-0. Epub 2021 Jun 8.
PMID: 34105073BACKGROUNDMoon J. The effect of the heatwave on the morbidity and mortality of diabetes patients; a meta-analysis for the era of the climate crisis. Environ Res. 2021 Apr;195:110762. doi: 10.1016/j.envres.2021.110762. Epub 2021 Jan 27.
PMID: 33515577BACKGROUNDMoreno-Fernandez J, Sastre J, Herranz S, Pines P, Gomez FJ, Quiroga I, Moya AJ, Gonzalvo C, Miralles R, Calderon-Vicente D, Palma M, Gargallo J, Munoz-Rodriguez JR. Effect of the historic Spanish heatwave over glycemic control in adult patients with type 1 diabetes. Sci Total Environ. 2023 Sep 1;889:164045. doi: 10.1016/j.scitotenv.2023.164045. Epub 2023 May 17.
PMID: 37201805BACKGROUND
Related Links
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Design
- Study Type
- observational
- Observational Model
- COHORT
- Time Perspective
- RETROSPECTIVE
- Sponsor Type
- OTHER
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
January 10, 2024
First Posted
January 22, 2024
Study Start
January 22, 2024
Primary Completion
April 30, 2024
Study Completion
May 31, 2024
Last Updated
August 22, 2024
Record last verified: 2024-08
Data Sharing
- IPD Sharing
- Will not share
Under other researchers request.