Cargando…
Incident cardiovascular disease by clustering of favourable risk factors in type 1 diabetes: the EURODIAB Prospective Complications Study
AIMS: The aim of this prospective study was to examine CVD risk reduction in type 1 diabetes (1) for people with favourable cardiovascular health metrics and (2) by clustering of these metrics. METHODS: Data from 2313 participants from the EURODIAB Prospective Complications Study were analysed. All...
Autores principales: | , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9174122/ https://www.ncbi.nlm.nih.gov/pubmed/35411407 http://dx.doi.org/10.1007/s00125-022-05698-2 |
_version_ | 1784722171230158848 |
---|---|
author | Soulimane, Soraya Balkau, Beverley Vogtschmidt, Yakima D. Toeller, Monika Fuller, John H. Soedamah-Muthu, Sabita S. |
author_facet | Soulimane, Soraya Balkau, Beverley Vogtschmidt, Yakima D. Toeller, Monika Fuller, John H. Soedamah-Muthu, Sabita S. |
author_sort | Soulimane, Soraya |
collection | PubMed |
description | AIMS: The aim of this prospective study was to examine CVD risk reduction in type 1 diabetes (1) for people with favourable cardiovascular health metrics and (2) by clustering of these metrics. METHODS: Data from 2313 participants from the EURODIAB Prospective Complications Study were analysed. All had type 1 diabetes (51% men, mean ± SD age 32 ± 9 years). Seven cardiovascular health metrics were studied—smoking, BMI, physical activity, a diet score, total cholesterol/HDL-cholesterol ratio, combined systolic and diastolic BP and HbA(1c)—divided into favourable/less favourable categories. Cox proportional hazards models were used to calculate HRs (95% CIs) of incident CVD for each metric. Clusters were made by scoring each individual by the number of favourable metrics. RESULTS: A total of 163 people developed incident CVD during a mean ± SD follow-up of 7.2 ± 1.3 years. Participants with more favourable HbA(1c) levels of <57 mmol/mol (<7.4%) had a 37% significantly lower CVD risk than those with a less favourable HbA(1c) (HR [95% CI] 0.63 [0.44, 0.91]), and participants with a more favourable BP (systolic BP <112 mmHg and diastolic BP <70 mmHg) had a 44% significantly lower CVD risk than participants in the less favourable BP group (HR [95% CI] 0.56 [0.34, 0.92]). There was a dose–response relation with a lower HR observed with greater clustering of more favourable metrics: people with four or more favourable metrics had an HR of 0.37 (95% CI 0.18, 0.76), adjusted for sex and age at diabetes diagnosis, compared with those with no favourable metrics. CONCLUSIONS/INTERPRETATION: Low HbA(1c) and low BP were protective cardiovascular health metrics in our study of people with type 1 diabetes. Targeting all cardiovascular health metrics could be more effective in preventing CVD than targeting single metrics. GRAPHICAL ABSTRACT: [Image: see text] SUPPLEMENTARY INFORMATION: The online version of this article 10.1007/s00125-022-05698-2 contains peer-reviewed but unedited supplementary material. |
format | Online Article Text |
id | pubmed-9174122 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-91741222022-06-09 Incident cardiovascular disease by clustering of favourable risk factors in type 1 diabetes: the EURODIAB Prospective Complications Study Soulimane, Soraya Balkau, Beverley Vogtschmidt, Yakima D. Toeller, Monika Fuller, John H. Soedamah-Muthu, Sabita S. Diabetologia Article AIMS: The aim of this prospective study was to examine CVD risk reduction in type 1 diabetes (1) for people with favourable cardiovascular health metrics and (2) by clustering of these metrics. METHODS: Data from 2313 participants from the EURODIAB Prospective Complications Study were analysed. All had type 1 diabetes (51% men, mean ± SD age 32 ± 9 years). Seven cardiovascular health metrics were studied—smoking, BMI, physical activity, a diet score, total cholesterol/HDL-cholesterol ratio, combined systolic and diastolic BP and HbA(1c)—divided into favourable/less favourable categories. Cox proportional hazards models were used to calculate HRs (95% CIs) of incident CVD for each metric. Clusters were made by scoring each individual by the number of favourable metrics. RESULTS: A total of 163 people developed incident CVD during a mean ± SD follow-up of 7.2 ± 1.3 years. Participants with more favourable HbA(1c) levels of <57 mmol/mol (<7.4%) had a 37% significantly lower CVD risk than those with a less favourable HbA(1c) (HR [95% CI] 0.63 [0.44, 0.91]), and participants with a more favourable BP (systolic BP <112 mmHg and diastolic BP <70 mmHg) had a 44% significantly lower CVD risk than participants in the less favourable BP group (HR [95% CI] 0.56 [0.34, 0.92]). There was a dose–response relation with a lower HR observed with greater clustering of more favourable metrics: people with four or more favourable metrics had an HR of 0.37 (95% CI 0.18, 0.76), adjusted for sex and age at diabetes diagnosis, compared with those with no favourable metrics. CONCLUSIONS/INTERPRETATION: Low HbA(1c) and low BP were protective cardiovascular health metrics in our study of people with type 1 diabetes. Targeting all cardiovascular health metrics could be more effective in preventing CVD than targeting single metrics. GRAPHICAL ABSTRACT: [Image: see text] SUPPLEMENTARY INFORMATION: The online version of this article 10.1007/s00125-022-05698-2 contains peer-reviewed but unedited supplementary material. Springer Berlin Heidelberg 2022-04-12 2022 /pmc/articles/PMC9174122/ /pubmed/35411407 http://dx.doi.org/10.1007/s00125-022-05698-2 Text en © The Author(s) 2022 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 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/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Soulimane, Soraya Balkau, Beverley Vogtschmidt, Yakima D. Toeller, Monika Fuller, John H. Soedamah-Muthu, Sabita S. Incident cardiovascular disease by clustering of favourable risk factors in type 1 diabetes: the EURODIAB Prospective Complications Study |
title | Incident cardiovascular disease by clustering of favourable risk factors in type 1 diabetes: the EURODIAB Prospective Complications Study |
title_full | Incident cardiovascular disease by clustering of favourable risk factors in type 1 diabetes: the EURODIAB Prospective Complications Study |
title_fullStr | Incident cardiovascular disease by clustering of favourable risk factors in type 1 diabetes: the EURODIAB Prospective Complications Study |
title_full_unstemmed | Incident cardiovascular disease by clustering of favourable risk factors in type 1 diabetes: the EURODIAB Prospective Complications Study |
title_short | Incident cardiovascular disease by clustering of favourable risk factors in type 1 diabetes: the EURODIAB Prospective Complications Study |
title_sort | incident cardiovascular disease by clustering of favourable risk factors in type 1 diabetes: the eurodiab prospective complications study |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9174122/ https://www.ncbi.nlm.nih.gov/pubmed/35411407 http://dx.doi.org/10.1007/s00125-022-05698-2 |
work_keys_str_mv | AT soulimanesoraya incidentcardiovasculardiseasebyclusteringoffavourableriskfactorsintype1diabetestheeurodiabprospectivecomplicationsstudy AT balkaubeverley incidentcardiovasculardiseasebyclusteringoffavourableriskfactorsintype1diabetestheeurodiabprospectivecomplicationsstudy AT vogtschmidtyakimad incidentcardiovasculardiseasebyclusteringoffavourableriskfactorsintype1diabetestheeurodiabprospectivecomplicationsstudy AT toellermonika incidentcardiovasculardiseasebyclusteringoffavourableriskfactorsintype1diabetestheeurodiabprospectivecomplicationsstudy AT fullerjohnh incidentcardiovasculardiseasebyclusteringoffavourableriskfactorsintype1diabetestheeurodiabprospectivecomplicationsstudy AT soedamahmuthusabitas incidentcardiovasculardiseasebyclusteringoffavourableriskfactorsintype1diabetestheeurodiabprospectivecomplicationsstudy |