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Evaluation of an Algorithm to Guide Patients With Type 1 Diabetes Treated With Continuous Subcutaneous Insulin Infusion on How to Respond to Real-Time Continuous Glucose Levels: A randomized controlled trial

OBJECTIVE: To evaluate an algorithm guiding responses of continuous subcutaneous insulin infusion (CSII)–treated type 1 diabetic patients using real-time continuous glucose monitoring (RT-CGM). RESEARCH DESIGN AND METHODS: Sixty CSII-treated type 1 diabetic participants (aged 13–70 years, including...

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Autores principales: Jenkins, Alicia J., Krishnamurthy, Balasubramanium, Best, James D., Cameron, Fergus J., Colman, Peter G., Farish, Steven, Hamblin, Peter S., O'Connell, Michele A., Rodda, Christine, Rowley, Kevin, Teede, Helena, O'Neal, David N.
Formato: Texto
Lenguaje:English
Publicado: American Diabetes Association 2010
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2875432/
https://www.ncbi.nlm.nih.gov/pubmed/20215457
http://dx.doi.org/10.2337/dc09-1481
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author Jenkins, Alicia J.
Krishnamurthy, Balasubramanium
Best, James D.
Cameron, Fergus J.
Colman, Peter G.
Farish, Steven
Hamblin, Peter S.
O'Connell, Michele A.
Rodda, Christine
Rowley, Kevin
Teede, Helena
O'Neal, David N.
author_facet Jenkins, Alicia J.
Krishnamurthy, Balasubramanium
Best, James D.
Cameron, Fergus J.
Colman, Peter G.
Farish, Steven
Hamblin, Peter S.
O'Connell, Michele A.
Rodda, Christine
Rowley, Kevin
Teede, Helena
O'Neal, David N.
author_sort Jenkins, Alicia J.
collection PubMed
description OBJECTIVE: To evaluate an algorithm guiding responses of continuous subcutaneous insulin infusion (CSII)–treated type 1 diabetic patients using real-time continuous glucose monitoring (RT-CGM). RESEARCH DESIGN AND METHODS: Sixty CSII-treated type 1 diabetic participants (aged 13–70 years, including adult and adolescent subgroups, with A1C ≤9.5%) were randomized in age-, sex-, and A1C-matched pairs. Phase 1 was an open 16-week multicenter randomized controlled trial. Group A was treated with CSII/RT-CGM with the algorithm, and group B was treated with CSII/RT-CGM without the algorithm. The primary outcome was the difference in time in target (4–10 mmol/l) glucose range on 6-day masked CGM. Secondary outcomes were differences in A1C, low (≤3.9 mmol/l) glucose CGM time, and glycemic variability. Phase 2 was the week 16–32 follow-up. Group A was returned to usual care, and group B was provided with the algorithm. Glycemia parameters were as above. Comparisons were made between baseline and 16 weeks and 32 weeks. RESULTS: In phase 1, after withdrawals 29 of 30 subjects were left in group A and 28 of 30 subjects were left in group B. The change in target glucose time did not differ between groups. A1C fell (mean 7.9% [95% CI 7.7–8.2to 7.6% [7.2–8.0]; P < 0.03) in group A but not in group B (7.8% [7.5–8.1] to 7.7 [7.3–8.0]; NS) with no difference between groups. More subjects in group A achieved A1C ≤7% than those in group B (2 of 29 to 14 of 29 vs. 4 of 28 to 7 of 28; P = 0.015). In phase 2, one participant was lost from each group. In group A, A1C returned to baseline with RT-CGM discontinuation but did not change in group B, who continued RT-CGM with addition of the algorithm. CONCLUSIONS: Early but not late algorithm provision to type 1 diabetic patients using CSII/RT-CGM did not increase the target glucose time but increased achievement of A1C ≤7%. Upon RT-CGM cessation, A1C returned to baseline.
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spelling pubmed-28754322011-06-01 Evaluation of an Algorithm to Guide Patients With Type 1 Diabetes Treated With Continuous Subcutaneous Insulin Infusion on How to Respond to Real-Time Continuous Glucose Levels: A randomized controlled trial Jenkins, Alicia J. Krishnamurthy, Balasubramanium Best, James D. Cameron, Fergus J. Colman, Peter G. Farish, Steven Hamblin, Peter S. O'Connell, Michele A. Rodda, Christine Rowley, Kevin Teede, Helena O'Neal, David N. Diabetes Care Original Research OBJECTIVE: To evaluate an algorithm guiding responses of continuous subcutaneous insulin infusion (CSII)–treated type 1 diabetic patients using real-time continuous glucose monitoring (RT-CGM). RESEARCH DESIGN AND METHODS: Sixty CSII-treated type 1 diabetic participants (aged 13–70 years, including adult and adolescent subgroups, with A1C ≤9.5%) were randomized in age-, sex-, and A1C-matched pairs. Phase 1 was an open 16-week multicenter randomized controlled trial. Group A was treated with CSII/RT-CGM with the algorithm, and group B was treated with CSII/RT-CGM without the algorithm. The primary outcome was the difference in time in target (4–10 mmol/l) glucose range on 6-day masked CGM. Secondary outcomes were differences in A1C, low (≤3.9 mmol/l) glucose CGM time, and glycemic variability. Phase 2 was the week 16–32 follow-up. Group A was returned to usual care, and group B was provided with the algorithm. Glycemia parameters were as above. Comparisons were made between baseline and 16 weeks and 32 weeks. RESULTS: In phase 1, after withdrawals 29 of 30 subjects were left in group A and 28 of 30 subjects were left in group B. The change in target glucose time did not differ between groups. A1C fell (mean 7.9% [95% CI 7.7–8.2to 7.6% [7.2–8.0]; P < 0.03) in group A but not in group B (7.8% [7.5–8.1] to 7.7 [7.3–8.0]; NS) with no difference between groups. More subjects in group A achieved A1C ≤7% than those in group B (2 of 29 to 14 of 29 vs. 4 of 28 to 7 of 28; P = 0.015). In phase 2, one participant was lost from each group. In group A, A1C returned to baseline with RT-CGM discontinuation but did not change in group B, who continued RT-CGM with addition of the algorithm. CONCLUSIONS: Early but not late algorithm provision to type 1 diabetic patients using CSII/RT-CGM did not increase the target glucose time but increased achievement of A1C ≤7%. Upon RT-CGM cessation, A1C returned to baseline. American Diabetes Association 2010-06 2010-03-09 /pmc/articles/PMC2875432/ /pubmed/20215457 http://dx.doi.org/10.2337/dc09-1481 Text en © 2010 by the American Diabetes Association. https://creativecommons.org/licenses/by-nc-nd/3.0/Readers may use this article as long as the work is properly cited, the use is educational and not for profit, and the work is not altered. See http://creativecommons.org/licenses/by-nc-nd/3.0/ (https://creativecommons.org/licenses/by-nc-nd/3.0/) for details.
spellingShingle Original Research
Jenkins, Alicia J.
Krishnamurthy, Balasubramanium
Best, James D.
Cameron, Fergus J.
Colman, Peter G.
Farish, Steven
Hamblin, Peter S.
O'Connell, Michele A.
Rodda, Christine
Rowley, Kevin
Teede, Helena
O'Neal, David N.
Evaluation of an Algorithm to Guide Patients With Type 1 Diabetes Treated With Continuous Subcutaneous Insulin Infusion on How to Respond to Real-Time Continuous Glucose Levels: A randomized controlled trial
title Evaluation of an Algorithm to Guide Patients With Type 1 Diabetes Treated With Continuous Subcutaneous Insulin Infusion on How to Respond to Real-Time Continuous Glucose Levels: A randomized controlled trial
title_full Evaluation of an Algorithm to Guide Patients With Type 1 Diabetes Treated With Continuous Subcutaneous Insulin Infusion on How to Respond to Real-Time Continuous Glucose Levels: A randomized controlled trial
title_fullStr Evaluation of an Algorithm to Guide Patients With Type 1 Diabetes Treated With Continuous Subcutaneous Insulin Infusion on How to Respond to Real-Time Continuous Glucose Levels: A randomized controlled trial
title_full_unstemmed Evaluation of an Algorithm to Guide Patients With Type 1 Diabetes Treated With Continuous Subcutaneous Insulin Infusion on How to Respond to Real-Time Continuous Glucose Levels: A randomized controlled trial
title_short Evaluation of an Algorithm to Guide Patients With Type 1 Diabetes Treated With Continuous Subcutaneous Insulin Infusion on How to Respond to Real-Time Continuous Glucose Levels: A randomized controlled trial
title_sort evaluation of an algorithm to guide patients with type 1 diabetes treated with continuous subcutaneous insulin infusion on how to respond to real-time continuous glucose levels: a randomized controlled trial
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2875432/
https://www.ncbi.nlm.nih.gov/pubmed/20215457
http://dx.doi.org/10.2337/dc09-1481
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