A pilot non‐inferiority randomized controlled trial to assess automatic adjustments of insulin doses in adolescents with type 1 diabetes on multiple daily injections therapy
Background Multiple daily injections (MDI) therapy for type 1 diabetes involves basal and bolus insulin doses. Non‐optimal insulin doses contribute to the lack of satisfactory glycemic control. We aimed to evaluate the feasibility of an algorithm that optimizes daily basal and bolus doses using gluc...
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          | Published in | Pediatric diabetes Vol. 21; no. 6; pp. 950 - 959 | 
|---|---|
| Main Authors | , , , , , , | 
| Format | Journal Article | 
| Language | English | 
| Published | 
        Former Munksgaard
          John Wiley & Sons A/S
    
        01.09.2020
     John Wiley & Sons, Inc  | 
| Subjects | |
| Online Access | Get full text | 
| ISSN | 1399-543X 1399-5448 1399-5448  | 
| DOI | 10.1111/pedi.13052 | 
Cover
| Abstract | Background
Multiple daily injections (MDI) therapy for type 1 diabetes involves basal and bolus insulin doses. Non‐optimal insulin doses contribute to the lack of satisfactory glycemic control. We aimed to evaluate the feasibility of an algorithm that optimizes daily basal and bolus doses using glucose monitoring systems for MDI therapy users.
Methods
We performed a pilot, non‐inferiority, randomized, parallel study at a diabetes camp comparing basal‐bolus insulin dose adjustments made by camp physicians (PA) and a learning algorithm (LA), in children and adolescents on MDI therapy. Participants wore a glucose sensor and underwent 11 days of daily dose adjustments in either arm. Algorithm adjustments were reviewed and approved by a physician. The last 7 days were examined for outcomes.
Results
Twenty‐one youths (age 13.3 [SD, 3.7] years; 13 females; HbA1c 8.6% [SD, 1.8]) were randomized to either group (LA [n = 10] or PA [n = 11]). The algorithm made 293 adjustments with a 92% acceptance rate from the camp physicians. In the last 7 days, the time in target glucose (3.9‐10 mmol/L) in LA (39.5%, SD, 20.7) was similar to PA (38.4%, SD, 15.6) (P = .89). The number of hypoglycemic events per day in LA (0.3, IQR, [0.1‐0.6]) was similar to PA (0.2, IQR, [0.0‐0.4]) (P = .42). There was no incidence of severe hypoglycemia nor ketoacidosis.
Conclusions
In this pilot study, glycemic outcomes in the LA group were similar to the PA group. This algorithm has the potential to facilitate MDI therapy, and longer and larger studies are warranted. | 
    
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| AbstractList | Background Multiple daily injections (MDI) therapy for type 1 diabetes involves basal and bolus insulin doses. Non‐optimal insulin doses contribute to the lack of satisfactory glycemic control. We aimed to evaluate the feasibility of an algorithm that optimizes daily basal and bolus doses using glucose monitoring systems for MDI therapy users. Methods We performed a pilot, non‐inferiority, randomized, parallel study at a diabetes camp comparing basal‐bolus insulin dose adjustments made by camp physicians (PA) and a learning algorithm (LA), in children and adolescents on MDI therapy. Participants wore a glucose sensor and underwent 11 days of daily dose adjustments in either arm. Algorithm adjustments were reviewed and approved by a physician. The last 7 days were examined for outcomes. Results Twenty‐one youths (age 13.3 [SD, 3.7] years; 13 females; HbA1c 8.6% [SD, 1.8]) were randomized to either group (LA [n = 10] or PA [n = 11]). The algorithm made 293 adjustments with a 92% acceptance rate from the camp physicians. In the last 7 days, the time in target glucose (3.9‐10 mmol/L) in LA (39.5%, SD, 20.7) was similar to PA (38.4%, SD, 15.6) (P = .89). The number of hypoglycemic events per day in LA (0.3, IQR, [0.1‐0.6]) was similar to PA (0.2, IQR, [0.0‐0.4]) (P = .42). There was no incidence of severe hypoglycemia nor ketoacidosis. Conclusions In this pilot study, glycemic outcomes in the LA group were similar to the PA group. This algorithm has the potential to facilitate MDI therapy, and longer and larger studies are warranted. Multiple daily injections (MDI) therapy for type 1 diabetes involves basal and bolus insulin doses. Non-optimal insulin doses contribute to the lack of satisfactory glycemic control. We aimed to evaluate the feasibility of an algorithm that optimizes daily basal and bolus doses using glucose monitoring systems for MDI therapy users. We performed a pilot, non-inferiority, randomized, parallel study at a diabetes camp comparing basal-bolus insulin dose adjustments made by camp physicians (PA) and a learning algorithm (LA), in children and adolescents on MDI therapy. Participants wore a glucose sensor and underwent 11 days of daily dose adjustments in either arm. Algorithm adjustments were reviewed and approved by a physician. The last 7 days were examined for outcomes. 21 youths (age 13.3 (SD, 3.7) years; 13 females; HbA1c 8.6% (SD, 1.8)) were randomized to either group (LA (n = 10) or PA (n = 11)). The algorithm made 293 adjustments with a 92% acceptance rate from the camp physicians. In the last 7 days, the time in target glucose (3.9-10 mmol/L) in LA (39.5%, SD, 20.7) was similar to PA (38.4%, SD, 15.6) (P = 0.89). The number of hypoglycemic events per day in LA (0.3, IQR, [0.1-0.6]) was similar to PA (0.2, IQR, [0.0-0.4]) (P = 0.42). There was no incidence of severe hypoglycemia nor ketoacidosis. In this pilot study, glycemic outcomes in the LA group were similar to the PA group. This algorithm has the potential to facilitate MDI therapy, and longer and larger studies are warranted. This article is protected by copyright. All rights reserved. Multiple daily injections (MDI) therapy for type 1 diabetes involves basal and bolus insulin doses. Non-optimal insulin doses contribute to the lack of satisfactory glycemic control. We aimed to evaluate the feasibility of an algorithm that optimizes daily basal and bolus doses using glucose monitoring systems for MDI therapy users.BACKGROUNDMultiple daily injections (MDI) therapy for type 1 diabetes involves basal and bolus insulin doses. Non-optimal insulin doses contribute to the lack of satisfactory glycemic control. We aimed to evaluate the feasibility of an algorithm that optimizes daily basal and bolus doses using glucose monitoring systems for MDI therapy users.We performed a pilot, non-inferiority, randomized, parallel study at a diabetes camp comparing basal-bolus insulin dose adjustments made by camp physicians (PA) and a learning algorithm (LA), in children and adolescents on MDI therapy. Participants wore a glucose sensor and underwent 11 days of daily dose adjustments in either arm. Algorithm adjustments were reviewed and approved by a physician. The last 7 days were examined for outcomes.METHODSWe performed a pilot, non-inferiority, randomized, parallel study at a diabetes camp comparing basal-bolus insulin dose adjustments made by camp physicians (PA) and a learning algorithm (LA), in children and adolescents on MDI therapy. Participants wore a glucose sensor and underwent 11 days of daily dose adjustments in either arm. Algorithm adjustments were reviewed and approved by a physician. The last 7 days were examined for outcomes.Twenty-one youths (age 13.3 [SD, 3.7] years; 13 females; HbA1c 8.6% [SD, 1.8]) were randomized to either group (LA [n = 10] or PA [n = 11]). The algorithm made 293 adjustments with a 92% acceptance rate from the camp physicians. In the last 7 days, the time in target glucose (3.9-10 mmol/L) in LA (39.5%, SD, 20.7) was similar to PA (38.4%, SD, 15.6) (P = .89). The number of hypoglycemic events per day in LA (0.3, IQR, [0.1-0.6]) was similar to PA (0.2, IQR, [0.0-0.4]) (P = .42). There was no incidence of severe hypoglycemia nor ketoacidosis.RESULTSTwenty-one youths (age 13.3 [SD, 3.7] years; 13 females; HbA1c 8.6% [SD, 1.8]) were randomized to either group (LA [n = 10] or PA [n = 11]). The algorithm made 293 adjustments with a 92% acceptance rate from the camp physicians. In the last 7 days, the time in target glucose (3.9-10 mmol/L) in LA (39.5%, SD, 20.7) was similar to PA (38.4%, SD, 15.6) (P = .89). The number of hypoglycemic events per day in LA (0.3, IQR, [0.1-0.6]) was similar to PA (0.2, IQR, [0.0-0.4]) (P = .42). There was no incidence of severe hypoglycemia nor ketoacidosis.In this pilot study, glycemic outcomes in the LA group were similar to the PA group. This algorithm has the potential to facilitate MDI therapy, and longer and larger studies are warranted.CONCLUSIONSIn this pilot study, glycemic outcomes in the LA group were similar to the PA group. This algorithm has the potential to facilitate MDI therapy, and longer and larger studies are warranted. Background Multiple daily injections (MDI) therapy for type 1 diabetes involves basal and bolus insulin doses. Non‐optimal insulin doses contribute to the lack of satisfactory glycemic control. We aimed to evaluate the feasibility of an algorithm that optimizes daily basal and bolus doses using glucose monitoring systems for MDI therapy users. Methods We performed a pilot, non‐inferiority, randomized, parallel study at a diabetes camp comparing basal‐bolus insulin dose adjustments made by camp physicians (PA) and a learning algorithm (LA), in children and adolescents on MDI therapy. Participants wore a glucose sensor and underwent 11 days of daily dose adjustments in either arm. Algorithm adjustments were reviewed and approved by a physician. The last 7 days were examined for outcomes. Results Twenty‐one youths (age 13.3 [SD, 3.7] years; 13 females; HbA1c 8.6% [SD, 1.8]) were randomized to either group (LA [n = 10] or PA [n = 11]). The algorithm made 293 adjustments with a 92% acceptance rate from the camp physicians. In the last 7 days, the time in target glucose (3.9‐10 mmol/L) in LA (39.5%, SD, 20.7) was similar to PA (38.4%, SD, 15.6) (P = .89). The number of hypoglycemic events per day in LA (0.3, IQR, [0.1‐0.6]) was similar to PA (0.2, IQR, [0.0‐0.4]) (P = .42). There was no incidence of severe hypoglycemia nor ketoacidosis. Conclusions In this pilot study, glycemic outcomes in the LA group were similar to the PA group. This algorithm has the potential to facilitate MDI therapy, and longer and larger studies are warranted.  | 
    
| Author | Palisaitis, Emilie El Fathi, Anas Oettingen, Julia E. Kearney, Robert E. Legault, Laurent Krishnamoorthy, Preetha Haidar, Ahmad  | 
    
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| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/32418302$$D View this record in MEDLINE/PubMed | 
    
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| CitedBy_id | crossref_primary_10_1089_dia_2021_0566 crossref_primary_10_1089_dia_2024_2505 crossref_primary_10_1109_TBME_2020_3023555 crossref_primary_10_1111_dom_15204 crossref_primary_10_1177_19322968241301800 crossref_primary_10_2196_51024 crossref_primary_10_1016_j_artmed_2023_102749 crossref_primary_10_1111_pedi_13412 crossref_primary_10_1089_dia_2022_0504 crossref_primary_10_3389_fendo_2021_795895  | 
    
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| Copyright | 2020 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd This article is protected by copyright. All rights reserved. Copyright John Wiley & Sons, Inc. 2020 2020 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.  | 
    
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| Keywords | Treatment adjustments Decision support system Multiple daily injections Learning algorithm  | 
    
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| Notes | Funding information Peer Review Laurent Legault and Ahmad Haidar share senior authorship. https://publons.com/publon/10.1111/pedi.13052 Anas El Fathi and Emilie Palisaitis have contributed equally to this study. The peer review history for this article is available at . Canadian Institutes of Health Research; Natural Sciences and Engineering Research Council of Canada ObjectType-Article-1 ObjectType-Evidence Based Healthcare-3 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 content type line 23 ObjectType-Undefined-3  | 
    
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Multiple daily injections (MDI) therapy for type 1 diabetes involves basal and bolus insulin doses. Non‐optimal insulin doses contribute to the lack... Multiple daily injections (MDI) therapy for type 1 diabetes involves basal and bolus insulin doses. Non-optimal insulin doses contribute to the lack of... Background Multiple daily injections (MDI) therapy for type 1 diabetes involves basal and bolus insulin doses. Non‐optimal insulin doses contribute to the lack...  | 
    
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| SubjectTerms | Adolescents Algorithms decision support system Diabetes Diabetes mellitus (insulin dependent) Diabetic ketoacidosis Glucose Glucose monitoring Hypoglycemia Insulin Ketoacidosis learning algorithm multiple daily injections treatment adjustments  | 
    
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| Title | A pilot non‐inferiority randomized controlled trial to assess automatic adjustments of insulin doses in adolescents with type 1 diabetes on multiple daily injections therapy | 
    
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