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Inpatient hypoglycaemia: understanding who is at risk

AIMS/HYPOTHESIS: We analysed data obtained from the electronic patient records of inpatients with diabetes admitted to a large university hospital to understand the prevalence and distribution of inpatient hypoglycaemia. METHODS: The study was conducted using electronic patient record data from Oxfo...

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Autores principales: Ruan, Yue, Moysova, Zuzana, Tan, Garry D., Lumb, Alistair, Davies, Jim, Rea, Rustam D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7286944/
https://www.ncbi.nlm.nih.gov/pubmed/32300821
http://dx.doi.org/10.1007/s00125-020-05139-y
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author Ruan, Yue
Moysova, Zuzana
Tan, Garry D.
Lumb, Alistair
Davies, Jim
Rea, Rustam D.
author_facet Ruan, Yue
Moysova, Zuzana
Tan, Garry D.
Lumb, Alistair
Davies, Jim
Rea, Rustam D.
author_sort Ruan, Yue
collection PubMed
description AIMS/HYPOTHESIS: We analysed data obtained from the electronic patient records of inpatients with diabetes admitted to a large university hospital to understand the prevalence and distribution of inpatient hypoglycaemia. METHODS: The study was conducted using electronic patient record data from Oxford University Hospitals NHS Foundation Trust. The dataset contains hospital admission data for patients coded for diabetes. We used the recently agreed definition for a level 1 hypoglycaemia episode as any blood glucose measurement <4 mmol/l and a level 2 hypoglycaemia episode as any blood glucose measurement <3 mmol/l. Any two or more consecutive low blood glucose measurements within a 2 h time window were considered as one single hypoglycaemic episode. RESULTS: We analysed data obtained from 17,658 inpatients with diabetes (1696 with type 1 diabetes, 14,006 with type 2 diabetes, and 1956 with other forms of diabetes; 9277 men; mean ± SD age, 66 ± 18 years) who underwent 32,758 hospital admissions between July 2014 and August 2018. The incidence of level 1 hypoglycaemia was 21.5% and the incidence of level 2 hypoglycaemia was 9.6%. Recurrent level 1 and level 2 hypoglycaemia occurred, respectively, in 51% and 39% of hospital admissions in people with type 2 diabetes with at least one hypoglycaemic episode, and in 55% and 45% in those with type 1 diabetes. The incidence of level 2 hypoglycaemia in people with type 2 diabetes, when corrected for the number of people who remained in hospital, remained constant for the first 100 h at approximately 0.15 events per h per admission. With regards to the hypoglycaemia distribution during the day, after correcting for the number of blood glucose tests per h, there were two clear spikes in the rate of hypoglycaemia approximately 3 h after lunch and after dinner. The highest rate of hypoglycaemia per glucose test was seen between 01:00 hours and 05:00 hours. Medication had a significant impact on the incidence of level 2 hypoglycaemia, ranging from 1.5% in people with type 2 diabetes on metformin alone to 33% in people treated with a combination of rapid-acting insulin analogue, long-acting insulin analogue and i.v.-administered insulin. CONCLUSIONS/INTERPRETATION: Retrospective analysis of data from electronic patient records enables clinicians to gain a greater understanding of the incidence and distribution of inpatient hypoglycaemia. This information should be used to drive evidence-based improvements in the glycaemic control of inpatients through targeted medication adjustment for specific populations at high risk of hypoglycaemia. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s00125-020-05139-y) contains peer-reviewed but unedited supplementary material, which is available to authorised users.
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spelling pubmed-72869442020-06-16 Inpatient hypoglycaemia: understanding who is at risk Ruan, Yue Moysova, Zuzana Tan, Garry D. Lumb, Alistair Davies, Jim Rea, Rustam D. Diabetologia Short Communication AIMS/HYPOTHESIS: We analysed data obtained from the electronic patient records of inpatients with diabetes admitted to a large university hospital to understand the prevalence and distribution of inpatient hypoglycaemia. METHODS: The study was conducted using electronic patient record data from Oxford University Hospitals NHS Foundation Trust. The dataset contains hospital admission data for patients coded for diabetes. We used the recently agreed definition for a level 1 hypoglycaemia episode as any blood glucose measurement <4 mmol/l and a level 2 hypoglycaemia episode as any blood glucose measurement <3 mmol/l. Any two or more consecutive low blood glucose measurements within a 2 h time window were considered as one single hypoglycaemic episode. RESULTS: We analysed data obtained from 17,658 inpatients with diabetes (1696 with type 1 diabetes, 14,006 with type 2 diabetes, and 1956 with other forms of diabetes; 9277 men; mean ± SD age, 66 ± 18 years) who underwent 32,758 hospital admissions between July 2014 and August 2018. The incidence of level 1 hypoglycaemia was 21.5% and the incidence of level 2 hypoglycaemia was 9.6%. Recurrent level 1 and level 2 hypoglycaemia occurred, respectively, in 51% and 39% of hospital admissions in people with type 2 diabetes with at least one hypoglycaemic episode, and in 55% and 45% in those with type 1 diabetes. The incidence of level 2 hypoglycaemia in people with type 2 diabetes, when corrected for the number of people who remained in hospital, remained constant for the first 100 h at approximately 0.15 events per h per admission. With regards to the hypoglycaemia distribution during the day, after correcting for the number of blood glucose tests per h, there were two clear spikes in the rate of hypoglycaemia approximately 3 h after lunch and after dinner. The highest rate of hypoglycaemia per glucose test was seen between 01:00 hours and 05:00 hours. Medication had a significant impact on the incidence of level 2 hypoglycaemia, ranging from 1.5% in people with type 2 diabetes on metformin alone to 33% in people treated with a combination of rapid-acting insulin analogue, long-acting insulin analogue and i.v.-administered insulin. CONCLUSIONS/INTERPRETATION: Retrospective analysis of data from electronic patient records enables clinicians to gain a greater understanding of the incidence and distribution of inpatient hypoglycaemia. This information should be used to drive evidence-based improvements in the glycaemic control of inpatients through targeted medication adjustment for specific populations at high risk of hypoglycaemia. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s00125-020-05139-y) contains peer-reviewed but unedited supplementary material, which is available to authorised users. Springer Berlin Heidelberg 2020-04-17 2020 /pmc/articles/PMC7286944/ /pubmed/32300821 http://dx.doi.org/10.1007/s00125-020-05139-y Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Short Communication
Ruan, Yue
Moysova, Zuzana
Tan, Garry D.
Lumb, Alistair
Davies, Jim
Rea, Rustam D.
Inpatient hypoglycaemia: understanding who is at risk
title Inpatient hypoglycaemia: understanding who is at risk
title_full Inpatient hypoglycaemia: understanding who is at risk
title_fullStr Inpatient hypoglycaemia: understanding who is at risk
title_full_unstemmed Inpatient hypoglycaemia: understanding who is at risk
title_short Inpatient hypoglycaemia: understanding who is at risk
title_sort inpatient hypoglycaemia: understanding who is at risk
topic Short Communication
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7286944/
https://www.ncbi.nlm.nih.gov/pubmed/32300821
http://dx.doi.org/10.1007/s00125-020-05139-y
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