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Maha Lebbar on Muck Rack

Maha Lebbar

As seen in: Wiley Online Library, Diabetes Research and Clinical Practice
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Articles

Comparison of Glucose Management Between Open-Source Loop and Tandem Control-IQ Automated Insulin Delivery Systems in Adults With Type 1 Diabetes

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By Zekai Wu, Maha Lebbar, Rayhan A. Lal
| Wiley Online Library Verified
1 Introduction Automated insulin delivery (AID) systems have become the standard of care for type 1 diabetes (T1D), offering substantial improvements in glucose management [1, 2]. Two main categories of AID algorithms co-exist: closed-source proprietary and open-source AID (OS-AID) [3]. All current open-source AID algorithms began as customizable tools/algorithms developed, refined and shared by the diabetes community [2].
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Characteristics associated with having a hemoglobin A1c ≤ 7% (≤ 53 mmol/mol) among adults with type 1 diabetes using an automated insulin delivery system

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By Zekai Wu, Maha Lebbar, Meryem Talbo
| Diabetes Research and Clinical Practice Verified
Abstract We aim to investigate which characteristics are associated with an HbA1c≤7% (≤53 mmol/mol) among adult automated insulin delivery (AID) users living with type 1 diabetes (T1D). Cross-sectional study using data from the T1D BETTER registry. Inclusion criteria: aged≥18 years old, using a commercial AID system, and with a reported HbA1c range value. Participants were divided into two groups (HbA1c≤7% group, N=57; and HbA1c>7% group, N=74).
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Back Cover

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By Zekai Wu, Maha Lebbar, Nadine Taleb, Laurent Legault
| Wiley Online Library Verified
Abstract The cover image is based on the Research Letter Comparing dual-hormone and single-hormone automated insulin delivery systems on nocturnal glucose management among children and adolescents with type 1 diabetes: A pooled analysis by Zekai Wu MD et al., https://doi.org/10.1111/dom.14850.
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