Predictors of Time-in-Range (70–180 mg/dL) Achieved Using a Closed-Loop Control System

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Schoelwer, Melissa | Kanapka, Lauren | Wadwa, R Paul | Breton, Marc | Ruedy, Katrina | Ekhlaspour, Laya | Forlenza, Gregory | Cobry, Erin | Messer, Laurel | Cengiz, Eda | Jost, Emily | Carria, Lori | Emory, Emma | Hsu, Liana | Weinzimer, Stuart | Buckingham, Bruce | Lal, Rayhan | Oliveri, Mary Clancy | Kollman, Craig | Dokken, Betsy | Cherñavvsky, Daniel | Beck, Roy | Deboer, Mark | Wadwa, R. Paul | Gonder-Frederick, Linda | Robic, Jessica | Voelmle, Mary | Conschafter, Katie | Morris, Kimberly | Barnett, Charlotte | Carr, Kelly | Hellmann, Jacob | Kime, Matthew | Todd Alonso, G. | Slover, Robert | Berget, Cari | Towers, Lindsey | Lange, Samantha | Maahs, David | Norlander, Lisa | Hood, Korey | Town, Marissa | Weir, Christine | Smith, Kerren | Shinksy, Deanna | Viana, Julia | Weyman, Kate | Zgorski, Melinda | Borgman, Sarah | Rusnak, Jessica | Murphy, Carlos | Arreza-Rubin, Guillermo | Green, Neal | Kovatchev, Boris | Brown, Sue | Anderson, Stacey | Laffel, Lori | Pinsker, Jordan | Levy, Carol | Kudva, Yogish | Doyle Iii, Francis | Renard, Eric | Cobelli, Claudio | Reznik, Yves | Lum, John | Janicek, Robert | Gabrielson, Deanna

Edité par CCSD ; Mary Ann Liebert -

International audience. Background: Studies of closed-loop control (CLC) in patients with type 1 diabetes (T1D) consistently demonstrate improvements in glycemic control as measured by increased time-in-range (TIR) 70-180 mg/dL. However, clinical predictors of TIR in users of CLC systems are needed. Materials and Methods: We analyzed data from 100 children aged 6-13 years with T1D using the Tandem Control-IQ CLC system during a randomized trial or subsequent extension phase. Continuous glucose monitor data were collected at baseline and during 12-16 weeks of CLC use. Participants were stratified into quartiles of TIR on CLC to compare clinical characteristics. Results: TIR for those in the first, second, third, and fourth quartiles was 54%, 65%, 71%, and 78%, respectively. Lower baseline TIR was associated with lower TIR on CLC (r = 0.69, P < 0.001). However, lower baseline TIR was also associated with greater improvement in TIR on CLC (r = -0.81, P < 0.001). During CLC, participants in the highest versus lowest TIR-quartile administered more user-initiated boluses daily (8.5 ± 2.8 vs. 5.8 ± 2.6, P < 0.001) and received fewer automated boluses (3.5 ± 1.0 vs. 6.0 ± 1.6, P < 0.001). Participants in the lowest (vs. the highest) TIR-quartile received more insulin per body weight (1.13 ± 0.27 vs. 0.87 ± 0.20 U/kg/d, P = 0.008). However, in a multivariate model adjusting for baseline TIR, user-initiated boluses and insulin-per-body-weight were no longer significant. Conclusions: Higher baseline TIR is the strongest predictor of TIR on CLC in children with T1D. However, lower baseline TIR is associated with the greatest improvement in TIR. As with open-loop systems, user engagement is important for optimal glycemic control.

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