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Insight into hypoglycemia frequency in congenital hyperinsulinism: evaluation of a large UK CGM dataset

INTRODUCTION: Hypoglycemia is often recurrent and severe in patients with congenital hyperinsulinism (CHI). However, there is little information regarding frequency or patterns of episodes to inform clinical management and future trial design. RESEARCH DESIGN AND METHODS: We aimed to describe freque...

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Autores principales: Worth, Chris, Tropeano, Yesica, Gokul, Pon Ramya, Cosgrove, Karen E, Salomon-Estebanez, Maria, Senniappan, Senthil, Dastamani, Antonia, Banerjee, Indraneel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9185472/
https://www.ncbi.nlm.nih.gov/pubmed/35675953
http://dx.doi.org/10.1136/bmjdrc-2022-002849
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author Worth, Chris
Tropeano, Yesica
Gokul, Pon Ramya
Cosgrove, Karen E
Salomon-Estebanez, Maria
Senniappan, Senthil
Dastamani, Antonia
Banerjee, Indraneel
author_facet Worth, Chris
Tropeano, Yesica
Gokul, Pon Ramya
Cosgrove, Karen E
Salomon-Estebanez, Maria
Senniappan, Senthil
Dastamani, Antonia
Banerjee, Indraneel
author_sort Worth, Chris
collection PubMed
description INTRODUCTION: Hypoglycemia is often recurrent and severe in patients with congenital hyperinsulinism (CHI). However, there is little information regarding frequency or patterns of episodes to inform clinical management and future trial design. RESEARCH DESIGN AND METHODS: We aimed to describe frequency and patterns of hypoglycemia by varying thresholds through a large continuous glucose monitoring (CGM) dataset. Through the UK CHI centers of excellence, data were analyzed from patients with CHI over a 5-year period. Hypoglycemia thresholds of 3.0 (H3.0), 3.5 (H3.5) and 3.9 (H3.9) mmol/L were used to test threshold change on hypoglycemia frequencies. RESULTS: From 63 patients, 3.4 million data points, representing 32 years of monitoring, were analyzed. By UK consensus threshold H3.5, patients experienced a mean 1.3 hypoglycemic episodes per day. Per cent time hypoglycemic increased from 1.2% to 3.3% to 6.9% when threshold changed from H3.0 to H3.5 and H3.9. Merged data showed periodicity of hypoglycemia risk in 24-hour periods in all patients. CONCLUSIONS: We have evaluated a large dataset to provide a comprehensive picture of the frequency and patterns of hypoglycemia for patients with CHI in the UK. These data establish a baseline risk of hypoglycemia by CGM and provide a framework for clinical management and clinical trial design.
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spelling pubmed-91854722022-06-16 Insight into hypoglycemia frequency in congenital hyperinsulinism: evaluation of a large UK CGM dataset Worth, Chris Tropeano, Yesica Gokul, Pon Ramya Cosgrove, Karen E Salomon-Estebanez, Maria Senniappan, Senthil Dastamani, Antonia Banerjee, Indraneel BMJ Open Diabetes Res Care Epidemiology/Health services research INTRODUCTION: Hypoglycemia is often recurrent and severe in patients with congenital hyperinsulinism (CHI). However, there is little information regarding frequency or patterns of episodes to inform clinical management and future trial design. RESEARCH DESIGN AND METHODS: We aimed to describe frequency and patterns of hypoglycemia by varying thresholds through a large continuous glucose monitoring (CGM) dataset. Through the UK CHI centers of excellence, data were analyzed from patients with CHI over a 5-year period. Hypoglycemia thresholds of 3.0 (H3.0), 3.5 (H3.5) and 3.9 (H3.9) mmol/L were used to test threshold change on hypoglycemia frequencies. RESULTS: From 63 patients, 3.4 million data points, representing 32 years of monitoring, were analyzed. By UK consensus threshold H3.5, patients experienced a mean 1.3 hypoglycemic episodes per day. Per cent time hypoglycemic increased from 1.2% to 3.3% to 6.9% when threshold changed from H3.0 to H3.5 and H3.9. Merged data showed periodicity of hypoglycemia risk in 24-hour periods in all patients. CONCLUSIONS: We have evaluated a large dataset to provide a comprehensive picture of the frequency and patterns of hypoglycemia for patients with CHI in the UK. These data establish a baseline risk of hypoglycemia by CGM and provide a framework for clinical management and clinical trial design. BMJ Publishing Group 2022-06-08 /pmc/articles/PMC9185472/ /pubmed/35675953 http://dx.doi.org/10.1136/bmjdrc-2022-002849 Text en © Author(s) (or their employer(s)) 2022. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) .
spellingShingle Epidemiology/Health services research
Worth, Chris
Tropeano, Yesica
Gokul, Pon Ramya
Cosgrove, Karen E
Salomon-Estebanez, Maria
Senniappan, Senthil
Dastamani, Antonia
Banerjee, Indraneel
Insight into hypoglycemia frequency in congenital hyperinsulinism: evaluation of a large UK CGM dataset
title Insight into hypoglycemia frequency in congenital hyperinsulinism: evaluation of a large UK CGM dataset
title_full Insight into hypoglycemia frequency in congenital hyperinsulinism: evaluation of a large UK CGM dataset
title_fullStr Insight into hypoglycemia frequency in congenital hyperinsulinism: evaluation of a large UK CGM dataset
title_full_unstemmed Insight into hypoglycemia frequency in congenital hyperinsulinism: evaluation of a large UK CGM dataset
title_short Insight into hypoglycemia frequency in congenital hyperinsulinism: evaluation of a large UK CGM dataset
title_sort insight into hypoglycemia frequency in congenital hyperinsulinism: evaluation of a large uk cgm dataset
topic Epidemiology/Health services research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9185472/
https://www.ncbi.nlm.nih.gov/pubmed/35675953
http://dx.doi.org/10.1136/bmjdrc-2022-002849
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