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Automated Insulin Delivery with Remote Real-Time Continuous Glucose Monitoring for Hospitalized Patients with Diabetes: A Multicenter, Single-Arm, Feasibility Trial

INTRODUCTION: Multiple daily injection insulin therapy frequently fails to meet hospital glycemic goals and is prone to hypoglycemia. Automated insulin delivery (AID) with remote glucose monitoring offers a solution to these shortcomings. RESEARCH DESIGN AND METHODS: In a single-arm multicenter pilo...

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Autores principales: Davis, Georgia M., Hughes, Michael S., Brown, Sue A., Sibayan, Judy, Perez-Guzman, M. Citlalli, Stumpf, Meaghan, Thompson, Zachary, Basina, Marina, Patel, Ronak M., Hester, Joi, Abraham, Amalia, Ly, Trang T., Chaney, Cherie, Tan, Marilyn, Hsu, Liana, Kollman, Craig, Beck, Roy W., Lal, Rayhan, Buckingham, Bruce, Pasquel, Francisco J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Mary Ann Liebert, Inc., publishers 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10611957/
https://www.ncbi.nlm.nih.gov/pubmed/37578778
http://dx.doi.org/10.1089/dia.2023.0304
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author Davis, Georgia M.
Hughes, Michael S.
Brown, Sue A.
Sibayan, Judy
Perez-Guzman, M. Citlalli
Stumpf, Meaghan
Thompson, Zachary
Basina, Marina
Patel, Ronak M.
Hester, Joi
Abraham, Amalia
Ly, Trang T.
Chaney, Cherie
Tan, Marilyn
Hsu, Liana
Kollman, Craig
Beck, Roy W.
Lal, Rayhan
Buckingham, Bruce
Pasquel, Francisco J.
author_facet Davis, Georgia M.
Hughes, Michael S.
Brown, Sue A.
Sibayan, Judy
Perez-Guzman, M. Citlalli
Stumpf, Meaghan
Thompson, Zachary
Basina, Marina
Patel, Ronak M.
Hester, Joi
Abraham, Amalia
Ly, Trang T.
Chaney, Cherie
Tan, Marilyn
Hsu, Liana
Kollman, Craig
Beck, Roy W.
Lal, Rayhan
Buckingham, Bruce
Pasquel, Francisco J.
author_sort Davis, Georgia M.
collection PubMed
description INTRODUCTION: Multiple daily injection insulin therapy frequently fails to meet hospital glycemic goals and is prone to hypoglycemia. Automated insulin delivery (AID) with remote glucose monitoring offers a solution to these shortcomings. RESEARCH DESIGN AND METHODS: In a single-arm multicenter pilot trial, we tested the feasibility, safety, and effectiveness of the Omnipod 5 AID System with real-time continuous glucose monitoring (CGM) for up to 10 days in hospitalized patients with insulin-requiring diabetes on nonintensive care unit medical–surgical units. Primary endpoints included the proportion of time in automated mode and percent time-in-range (TIR 70–180 mg/dL) among participants with >48 h of CGM data. Safety endpoints included incidence of severe hypoglycemia and diabetes-related ketoacidosis (DKA). Additional glycemic endpoints, CGM accuracy, and patient satisfaction were also explored. RESULTS: Twenty-two participants were enrolled; 18 used the system for a total of 96 days (mean 5.3 ± 3.1 days per patient), and 16 had sufficient CGM data required for analysis. Median percent time in automated mode was 95% (interquartile range 92%–98%) for the 18 system users, and the 16 participants with >48 h of CGM data achieved an overall TIR of 68% ± 16%, with 0.17% ± 0.3% time <70 mg/dL and 0.06% ± 0.2% time <54 mg/dL. Sensor mean glucose was 167 ± 21 mg/dL. There were no DKA or severe hypoglycemic events. All participants reported satisfaction with the system at study end. CONCLUSIONS: The use of AID with a disposable tubeless patch-pump along with remote real-time CGM is feasible in the hospital setting. These results warrant further investigation in randomized trials.
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spelling pubmed-106119572023-10-29 Automated Insulin Delivery with Remote Real-Time Continuous Glucose Monitoring for Hospitalized Patients with Diabetes: A Multicenter, Single-Arm, Feasibility Trial Davis, Georgia M. Hughes, Michael S. Brown, Sue A. Sibayan, Judy Perez-Guzman, M. Citlalli Stumpf, Meaghan Thompson, Zachary Basina, Marina Patel, Ronak M. Hester, Joi Abraham, Amalia Ly, Trang T. Chaney, Cherie Tan, Marilyn Hsu, Liana Kollman, Craig Beck, Roy W. Lal, Rayhan Buckingham, Bruce Pasquel, Francisco J. Diabetes Technol Ther Original Articles INTRODUCTION: Multiple daily injection insulin therapy frequently fails to meet hospital glycemic goals and is prone to hypoglycemia. Automated insulin delivery (AID) with remote glucose monitoring offers a solution to these shortcomings. RESEARCH DESIGN AND METHODS: In a single-arm multicenter pilot trial, we tested the feasibility, safety, and effectiveness of the Omnipod 5 AID System with real-time continuous glucose monitoring (CGM) for up to 10 days in hospitalized patients with insulin-requiring diabetes on nonintensive care unit medical–surgical units. Primary endpoints included the proportion of time in automated mode and percent time-in-range (TIR 70–180 mg/dL) among participants with >48 h of CGM data. Safety endpoints included incidence of severe hypoglycemia and diabetes-related ketoacidosis (DKA). Additional glycemic endpoints, CGM accuracy, and patient satisfaction were also explored. RESULTS: Twenty-two participants were enrolled; 18 used the system for a total of 96 days (mean 5.3 ± 3.1 days per patient), and 16 had sufficient CGM data required for analysis. Median percent time in automated mode was 95% (interquartile range 92%–98%) for the 18 system users, and the 16 participants with >48 h of CGM data achieved an overall TIR of 68% ± 16%, with 0.17% ± 0.3% time <70 mg/dL and 0.06% ± 0.2% time <54 mg/dL. Sensor mean glucose was 167 ± 21 mg/dL. There were no DKA or severe hypoglycemic events. All participants reported satisfaction with the system at study end. CONCLUSIONS: The use of AID with a disposable tubeless patch-pump along with remote real-time CGM is feasible in the hospital setting. These results warrant further investigation in randomized trials. Mary Ann Liebert, Inc., publishers 2023-10-01 2023-10-12 /pmc/articles/PMC10611957/ /pubmed/37578778 http://dx.doi.org/10.1089/dia.2023.0304 Text en © Georgia M. Davis, et al., 2023; Published by Mary Ann Liebert, Inc. https://creativecommons.org/licenses/by/4.0/This Open Access article is distributed under the terms of the Creative Commons License (http://creativecommons.org/licenses/by/4.0 (https://creativecommons.org/licenses/by/4.0/) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited.
spellingShingle Original Articles
Davis, Georgia M.
Hughes, Michael S.
Brown, Sue A.
Sibayan, Judy
Perez-Guzman, M. Citlalli
Stumpf, Meaghan
Thompson, Zachary
Basina, Marina
Patel, Ronak M.
Hester, Joi
Abraham, Amalia
Ly, Trang T.
Chaney, Cherie
Tan, Marilyn
Hsu, Liana
Kollman, Craig
Beck, Roy W.
Lal, Rayhan
Buckingham, Bruce
Pasquel, Francisco J.
Automated Insulin Delivery with Remote Real-Time Continuous Glucose Monitoring for Hospitalized Patients with Diabetes: A Multicenter, Single-Arm, Feasibility Trial
title Automated Insulin Delivery with Remote Real-Time Continuous Glucose Monitoring for Hospitalized Patients with Diabetes: A Multicenter, Single-Arm, Feasibility Trial
title_full Automated Insulin Delivery with Remote Real-Time Continuous Glucose Monitoring for Hospitalized Patients with Diabetes: A Multicenter, Single-Arm, Feasibility Trial
title_fullStr Automated Insulin Delivery with Remote Real-Time Continuous Glucose Monitoring for Hospitalized Patients with Diabetes: A Multicenter, Single-Arm, Feasibility Trial
title_full_unstemmed Automated Insulin Delivery with Remote Real-Time Continuous Glucose Monitoring for Hospitalized Patients with Diabetes: A Multicenter, Single-Arm, Feasibility Trial
title_short Automated Insulin Delivery with Remote Real-Time Continuous Glucose Monitoring for Hospitalized Patients with Diabetes: A Multicenter, Single-Arm, Feasibility Trial
title_sort automated insulin delivery with remote real-time continuous glucose monitoring for hospitalized patients with diabetes: a multicenter, single-arm, feasibility trial
topic Original Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10611957/
https://www.ncbi.nlm.nih.gov/pubmed/37578778
http://dx.doi.org/10.1089/dia.2023.0304
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