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 - PubMed (original) (raw)

Randomized Controlled Trial

doi: 10.2337/dc09-1481. Epub 2010 Mar 9.

Balasubramanium Krishnamurthy, James D Best, Fergus J Cameron, Peter G Colman, Steven Farish, Peter S Hamblin, Michele A O'Connell, Christine Rodda, Kevin Rowley, Helena Teede, David N O'Neal

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Randomized Controlled Trial

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

Alicia J Jenkins et al. Diabetes Care. 2010 Jun.

Erratum in

Abstract

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 <or=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 (<or=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 <or=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 <or=7%. Upon RT-CGM cessation, A1C returned to baseline.

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Figures

Figure 1

Figure 1

Flow of participants through the study.

Figure 2

Figure 2

A1C at baseline, 16 weeks, and 32 weeks according to study group in all participants (A), adult participants (B), and adolescent participants (C) who returned for the 32-week visit. D: Number of interactions with handsets providing “reactive” guidelines on how to respond to real-time glucose levels. *P < 0.05, compared with baseline for the 16-week data and compared with 16 weeks for the 32-week data. **P < 0.0001, 16 weeks compared with baseline.

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