Review of Automated Insulin Delivery Systems for Individuals with Type 1 Diabetes: Tailored Solutions for Subpopulations

Eleonora M Aiello; Sunil Deshpande; Basak Ozaslan; Kelilah L Wolkowicz; Eyal Dassau; Jordan E Pinsker; Francis J Doyle

doi:10.1016/j.cobme.2021.100312

Review of Automated Insulin Delivery Systems for Individuals with Type 1 Diabetes: Tailored Solutions for Subpopulations

Curr Opin Biomed Eng. 2021 Sep:19:100312. doi: 10.1016/j.cobme.2021.100312. Epub 2021 Jun 18.

Authors

Eleonora M Aiello^#^{1

2}, Sunil Deshpande^#^{1

2}, Basak Ozaslan^#^{1

2}, Kelilah L Wolkowicz^#³, Eyal Dassau^{1

2}, Jordan E Pinsker², Francis J Doyle^{1

2}

Affiliations

¹ Harvard John A. Paulson School of Engineering and Applied Sciences, Harvard University, 150 Western Avenue, Boston, Massachusetts 02134, USA.
² Sansum Diabetes Research Institute, Santa Barbara, CA.
³ Department of Mechanical Engineering, University of Massachusetts Lowell, 1 University Avenue, Lowell, MA 01854, USA.

^# Contributed equally.

Abstract

Automated insulin delivery (AID) systems have proven safe and effective in improving glycemic outcomes in individuals with type 1 diabetes (T1D). Clinical evaluation of this technology has progressed to large randomized, controlled outpatient studies and recent commercial approval of AID systems for children and adults. However, several challenges remain in improving these systems for different subpopulations (e.g., young children, athletes, pregnant women, seniors and those with hypoglycemia unawareness). In this review, we highlight the requirements and challenges in AID design for selected subpopulations, and discuss current advances from recent clinical studies.

Keywords: Automated Insulin Delivery; Clinical Investigations; Subpopulations; Type 1 Diabetes.

Abstract

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