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An analysis of frailty and multimorbidity in 20,566 UK Biobank participants with type 2 diabetes
BACKGROUND: Frailty and multimorbidity are common in type 2 diabetes (T2D), including people <65 years. Guidelines recommend adjustment of treatment targets in people with frailty or multimorbidity. It is unclear how recommendations to adjust treatment targets in people with frailty or multimorbi...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Nature Publishing Group UK
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9053176/ https://www.ncbi.nlm.nih.gov/pubmed/35602215 http://dx.doi.org/10.1038/s43856-021-00029-9 |
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author | Hanlon, Peter Jani, Bhautesh D. Butterly, Elaine Nicholl, Barbara Lewsey, Jim McAllister, David A. Mair, Frances S. |
author_facet | Hanlon, Peter Jani, Bhautesh D. Butterly, Elaine Nicholl, Barbara Lewsey, Jim McAllister, David A. Mair, Frances S. |
author_sort | Hanlon, Peter |
collection | PubMed |
description | BACKGROUND: Frailty and multimorbidity are common in type 2 diabetes (T2D), including people <65 years. Guidelines recommend adjustment of treatment targets in people with frailty or multimorbidity. It is unclear how recommendations to adjust treatment targets in people with frailty or multimorbidity should be applied to different ages. We assess implications of frailty/multimorbidity in middle/older-aged people with T2D. METHODS: We analysed UK Biobank participants (n = 20,566) with T2D aged 40–72 years comparing two frailty measures (Fried frailty phenotype and Rockwood frailty index) and two multimorbidity measures (Charlson Comorbidity index and count of long-term conditions (LTCs)). Outcomes were mortality, Major Adverse Cardiovascular Event (MACE), hospitalization with hypoglycaemia or fall/fracture. RESULTS: Here we show that choice of measure influences the population identified: 42% of participants are frail or multimorbid by at least one measure; 2.2% by all four measures. Each measure is associated with mortality, MACE, hypoglycaemia, and fall or fracture. The absolute 5-year mortality risk is higher in older versus younger participants with a given level of frailty (e.g. 1.9%, and 9.9% in men aged 45 and 65, respectively, using frailty phenotype) or multimorbidity (e.g. 1.3%, and 7.8% in men with 4 LTCs aged 45 and 65, respectively). Using frailty phenotype, the relationship between higher HbA1c and mortality is stronger in frail compared with pre-frail or robust participants. CONCLUSIONS: Assessment of frailty/multimorbidity should be embedded within routine management of middle-aged and older people with T2D. Method of identification as well as features such as age impact baseline risk and should influence clinical decisions (e.g. glycaemic control). |
format | Online Article Text |
id | pubmed-9053176 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-90531762022-05-20 An analysis of frailty and multimorbidity in 20,566 UK Biobank participants with type 2 diabetes Hanlon, Peter Jani, Bhautesh D. Butterly, Elaine Nicholl, Barbara Lewsey, Jim McAllister, David A. Mair, Frances S. Commun Med (Lond) Article BACKGROUND: Frailty and multimorbidity are common in type 2 diabetes (T2D), including people <65 years. Guidelines recommend adjustment of treatment targets in people with frailty or multimorbidity. It is unclear how recommendations to adjust treatment targets in people with frailty or multimorbidity should be applied to different ages. We assess implications of frailty/multimorbidity in middle/older-aged people with T2D. METHODS: We analysed UK Biobank participants (n = 20,566) with T2D aged 40–72 years comparing two frailty measures (Fried frailty phenotype and Rockwood frailty index) and two multimorbidity measures (Charlson Comorbidity index and count of long-term conditions (LTCs)). Outcomes were mortality, Major Adverse Cardiovascular Event (MACE), hospitalization with hypoglycaemia or fall/fracture. RESULTS: Here we show that choice of measure influences the population identified: 42% of participants are frail or multimorbid by at least one measure; 2.2% by all four measures. Each measure is associated with mortality, MACE, hypoglycaemia, and fall or fracture. The absolute 5-year mortality risk is higher in older versus younger participants with a given level of frailty (e.g. 1.9%, and 9.9% in men aged 45 and 65, respectively, using frailty phenotype) or multimorbidity (e.g. 1.3%, and 7.8% in men with 4 LTCs aged 45 and 65, respectively). Using frailty phenotype, the relationship between higher HbA1c and mortality is stronger in frail compared with pre-frail or robust participants. CONCLUSIONS: Assessment of frailty/multimorbidity should be embedded within routine management of middle-aged and older people with T2D. Method of identification as well as features such as age impact baseline risk and should influence clinical decisions (e.g. glycaemic control). Nature Publishing Group UK 2021-08-27 /pmc/articles/PMC9053176/ /pubmed/35602215 http://dx.doi.org/10.1038/s43856-021-00029-9 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Hanlon, Peter Jani, Bhautesh D. Butterly, Elaine Nicholl, Barbara Lewsey, Jim McAllister, David A. Mair, Frances S. An analysis of frailty and multimorbidity in 20,566 UK Biobank participants with type 2 diabetes |
title | An analysis of frailty and multimorbidity in 20,566 UK Biobank participants with type 2 diabetes |
title_full | An analysis of frailty and multimorbidity in 20,566 UK Biobank participants with type 2 diabetes |
title_fullStr | An analysis of frailty and multimorbidity in 20,566 UK Biobank participants with type 2 diabetes |
title_full_unstemmed | An analysis of frailty and multimorbidity in 20,566 UK Biobank participants with type 2 diabetes |
title_short | An analysis of frailty and multimorbidity in 20,566 UK Biobank participants with type 2 diabetes |
title_sort | analysis of frailty and multimorbidity in 20,566 uk biobank participants with type 2 diabetes |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9053176/ https://www.ncbi.nlm.nih.gov/pubmed/35602215 http://dx.doi.org/10.1038/s43856-021-00029-9 |
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