Jacopo Pavan, Erin Cobry, Zachariah W Reed, María F Villa-Tamayo, Jenny L Diaz C, Mark D DeBoer, Melissa Schoelwer, Emily Jost, Ryan Kingman, Viola Holmes, John W Lum, Chaitanya L K Koravi, Bruce Buckingham, Roy Beck, R Paul Wadwa, Marc D Breton
{"title":"算法驱动的混合闭环在幼儿1型糖尿病中的启动和适应:一项试点研究。","authors":"Jacopo Pavan, Erin Cobry, Zachariah W Reed, María F Villa-Tamayo, Jenny L Diaz C, Mark D DeBoer, Melissa Schoelwer, Emily Jost, Ryan Kingman, Viola Holmes, John W Lum, Chaitanya L K Koravi, Bruce Buckingham, Roy Beck, R Paul Wadwa, Marc D Breton","doi":"10.1089/dia.2024.0650","DOIUrl":null,"url":null,"abstract":"<p><p><b><i>Introduction:</i></b> Glucose regulation in young children is complicated by higher glycemic variability, unpredictable behaviors, and low insulin needs. While the benefits of automated insulin delivery (AID) for this population are established, how to initiate and adjust pump settings still represents a challenging task for health care providers. In this study, we investigate the safety and efficacy of using algorithm-driven initiation and adjustments of AID parameters in children aged 2-6 years. <b><i>Methods:</i></b> Participants used AID at home for 8 weeks. Initial settings and periodic adjustments of therapy profiles (basal rates, insulin-to-carbohydrate ratios, insulin-correction factors, and sleep schedules) were provided through a cloud-based investigational software. Investigators reviewed therapy recommendations and could adjust if necessary. Primary safety endpoints included the percentage of time <54 mg/dL and >250 mg/dL, tested for noninferiority with respect to baseline. Primary efficacy endpoints (tested in a hierarchical manner) were the percentage of time in 70-180 mg/dL, mean glucose, the percentage of time >250 mg/dL, <70 mg/dL, and <54 mg/dL. <b><i>Results:</i></b> Thirty-two participants (age range: 2.0-5.9 years) were recruited for the study; 29 had sufficient data for the analysis. Investigators overrode 15% of software recommendations. The percentage of time <54 mg/dL and >250 mg/dL was noninferior in the 8-week follow-up with respect to baseline (<i>P</i> < 0.001). Statistically significant improvements were observed in the percentage of time in 70-180 mg/dL (<i>P</i> = 0.005), >250 mg/dL (<i>P</i> = 0.003), and mean glucose (<i>P</i> = 0.02). No difference was observed in the percentage of time <70 mg/dL (<i>P</i> = 0.34). Furthermore, no difference was observed with respect to a similar study cohort (same age range, <i>n</i> = 86) with expert pediatric endocrinologists modifying pump settings. <b><i>Conclusions:</i></b> Findings from this pilot study suggest that the use of AID with algorithm-driven initiation and adjustment of pump parameters is safe and effective in young children with type 1 diabetes. Further study of the algorithm in a larger cohort is indicated. Clinical Trials Registration number: NCT06017089.</p>","PeriodicalId":11159,"journal":{"name":"Diabetes technology & therapeutics","volume":" ","pages":""},"PeriodicalIF":5.7000,"publicationDate":"2025-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Algorithm-Driven Initiation and Adaptation of Hybrid Closed-Loop in Young Children with Type 1 Diabetes: A Pilot Study.\",\"authors\":\"Jacopo Pavan, Erin Cobry, Zachariah W Reed, María F Villa-Tamayo, Jenny L Diaz C, Mark D DeBoer, Melissa Schoelwer, Emily Jost, Ryan Kingman, Viola Holmes, John W Lum, Chaitanya L K Koravi, Bruce Buckingham, Roy Beck, R Paul Wadwa, Marc D Breton\",\"doi\":\"10.1089/dia.2024.0650\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p><b><i>Introduction:</i></b> Glucose regulation in young children is complicated by higher glycemic variability, unpredictable behaviors, and low insulin needs. While the benefits of automated insulin delivery (AID) for this population are established, how to initiate and adjust pump settings still represents a challenging task for health care providers. In this study, we investigate the safety and efficacy of using algorithm-driven initiation and adjustments of AID parameters in children aged 2-6 years. <b><i>Methods:</i></b> Participants used AID at home for 8 weeks. Initial settings and periodic adjustments of therapy profiles (basal rates, insulin-to-carbohydrate ratios, insulin-correction factors, and sleep schedules) were provided through a cloud-based investigational software. Investigators reviewed therapy recommendations and could adjust if necessary. Primary safety endpoints included the percentage of time <54 mg/dL and >250 mg/dL, tested for noninferiority with respect to baseline. Primary efficacy endpoints (tested in a hierarchical manner) were the percentage of time in 70-180 mg/dL, mean glucose, the percentage of time >250 mg/dL, <70 mg/dL, and <54 mg/dL. <b><i>Results:</i></b> Thirty-two participants (age range: 2.0-5.9 years) were recruited for the study; 29 had sufficient data for the analysis. Investigators overrode 15% of software recommendations. The percentage of time <54 mg/dL and >250 mg/dL was noninferior in the 8-week follow-up with respect to baseline (<i>P</i> < 0.001). Statistically significant improvements were observed in the percentage of time in 70-180 mg/dL (<i>P</i> = 0.005), >250 mg/dL (<i>P</i> = 0.003), and mean glucose (<i>P</i> = 0.02). No difference was observed in the percentage of time <70 mg/dL (<i>P</i> = 0.34). Furthermore, no difference was observed with respect to a similar study cohort (same age range, <i>n</i> = 86) with expert pediatric endocrinologists modifying pump settings. <b><i>Conclusions:</i></b> Findings from this pilot study suggest that the use of AID with algorithm-driven initiation and adjustment of pump parameters is safe and effective in young children with type 1 diabetes. Further study of the algorithm in a larger cohort is indicated. Clinical Trials Registration number: NCT06017089.</p>\",\"PeriodicalId\":11159,\"journal\":{\"name\":\"Diabetes technology & therapeutics\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":5.7000,\"publicationDate\":\"2025-03-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Diabetes technology & therapeutics\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1089/dia.2024.0650\",\"RegionNum\":2,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENDOCRINOLOGY & METABOLISM\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Diabetes technology & therapeutics","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1089/dia.2024.0650","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENDOCRINOLOGY & METABOLISM","Score":null,"Total":0}
Algorithm-Driven Initiation and Adaptation of Hybrid Closed-Loop in Young Children with Type 1 Diabetes: A Pilot Study.
Introduction: Glucose regulation in young children is complicated by higher glycemic variability, unpredictable behaviors, and low insulin needs. While the benefits of automated insulin delivery (AID) for this population are established, how to initiate and adjust pump settings still represents a challenging task for health care providers. In this study, we investigate the safety and efficacy of using algorithm-driven initiation and adjustments of AID parameters in children aged 2-6 years. Methods: Participants used AID at home for 8 weeks. Initial settings and periodic adjustments of therapy profiles (basal rates, insulin-to-carbohydrate ratios, insulin-correction factors, and sleep schedules) were provided through a cloud-based investigational software. Investigators reviewed therapy recommendations and could adjust if necessary. Primary safety endpoints included the percentage of time <54 mg/dL and >250 mg/dL, tested for noninferiority with respect to baseline. Primary efficacy endpoints (tested in a hierarchical manner) were the percentage of time in 70-180 mg/dL, mean glucose, the percentage of time >250 mg/dL, <70 mg/dL, and <54 mg/dL. Results: Thirty-two participants (age range: 2.0-5.9 years) were recruited for the study; 29 had sufficient data for the analysis. Investigators overrode 15% of software recommendations. The percentage of time <54 mg/dL and >250 mg/dL was noninferior in the 8-week follow-up with respect to baseline (P < 0.001). Statistically significant improvements were observed in the percentage of time in 70-180 mg/dL (P = 0.005), >250 mg/dL (P = 0.003), and mean glucose (P = 0.02). No difference was observed in the percentage of time <70 mg/dL (P = 0.34). Furthermore, no difference was observed with respect to a similar study cohort (same age range, n = 86) with expert pediatric endocrinologists modifying pump settings. Conclusions: Findings from this pilot study suggest that the use of AID with algorithm-driven initiation and adjustment of pump parameters is safe and effective in young children with type 1 diabetes. Further study of the algorithm in a larger cohort is indicated. Clinical Trials Registration number: NCT06017089.
期刊介绍:
Diabetes Technology & Therapeutics is the only peer-reviewed journal providing healthcare professionals with information on new devices, drugs, drug delivery systems, and software for managing patients with diabetes. This leading international journal delivers practical information and comprehensive coverage of cutting-edge technologies and therapeutics in the field, and each issue highlights new pharmacological and device developments to optimize patient care.