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Twenty-year trajectories of cardio-metabolic factors among people with type 2 diabetes by dementia status in England: a retrospective cohort study

To assess 20-year retrospective trajectories of cardio-metabolic factors preceding dementia diagnosis among people with type 2 diabetes (T2D). We identified 227,145 people with T2D aged > 42 years between 1999 and 2018. Annual mean levels of eight routinely measured cardio-metabolic factors were...

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Autores principales: Lai, Heidi T. M., Chang, Kiara, Sharabiani, Mansour T. A., Valabhji, Jonathan, Gregg, Edward W., Middleton, Lefkos, Majeed, Azeem, Pearson-Stuttard, Jonathan, Millett, Christopher, Bottle, Alex, Vamos, Eszter P.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Netherlands 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10276060/
https://www.ncbi.nlm.nih.gov/pubmed/36869989
http://dx.doi.org/10.1007/s10654-023-00977-7
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author Lai, Heidi T. M.
Chang, Kiara
Sharabiani, Mansour T. A.
Valabhji, Jonathan
Gregg, Edward W.
Middleton, Lefkos
Majeed, Azeem
Pearson-Stuttard, Jonathan
Millett, Christopher
Bottle, Alex
Vamos, Eszter P.
author_facet Lai, Heidi T. M.
Chang, Kiara
Sharabiani, Mansour T. A.
Valabhji, Jonathan
Gregg, Edward W.
Middleton, Lefkos
Majeed, Azeem
Pearson-Stuttard, Jonathan
Millett, Christopher
Bottle, Alex
Vamos, Eszter P.
author_sort Lai, Heidi T. M.
collection PubMed
description To assess 20-year retrospective trajectories of cardio-metabolic factors preceding dementia diagnosis among people with type 2 diabetes (T2D). We identified 227,145 people with T2D aged > 42 years between 1999 and 2018. Annual mean levels of eight routinely measured cardio-metabolic factors were extracted from the Clinical Practice Research Datalink. Multivariable multilevel piecewise and non-piecewise growth curve models assessed retrospective trajectories of cardio-metabolic factors by dementia status from up to 19 years preceding dementia diagnosis (dementia) or last contact with healthcare (no dementia). 23,546 patients developed dementia; mean (SD) follow-up was 10.0 (5.8) years. In the dementia group, mean systolic blood pressure increased 16–19 years before dementia diagnosis compared with patients without dementia, but declined more steeply from 16 years before diagnosis, while diastolic blood pressure generally declined at similar rates. Mean body mass index followed a steeper non-linear decline from 11 years before diagnosis in the dementia group. Mean blood lipid levels (total cholesterol, LDL, HDL) and glycaemic measures (fasting plasma glucose and HbA1c) were generally higher in the dementia group compared with those without dementia and followed similar patterns of change. However, absolute group differences were small. Differences in levels of cardio-metabolic factors were observed up to two decades prior to dementia diagnosis. Our findings suggest that a long follow-up is crucial to minimise reverse causation arising from changes in cardio-metabolic factors during preclinical dementia. Future investigations which address associations between cardiometabolic factors and dementia should account for potential non-linear relationships and consider the timeframe when measurements are taken. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s10654-023-00977-7.
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spelling pubmed-102760602023-06-18 Twenty-year trajectories of cardio-metabolic factors among people with type 2 diabetes by dementia status in England: a retrospective cohort study Lai, Heidi T. M. Chang, Kiara Sharabiani, Mansour T. A. Valabhji, Jonathan Gregg, Edward W. Middleton, Lefkos Majeed, Azeem Pearson-Stuttard, Jonathan Millett, Christopher Bottle, Alex Vamos, Eszter P. Eur J Epidemiol Cardiovascular Disease To assess 20-year retrospective trajectories of cardio-metabolic factors preceding dementia diagnosis among people with type 2 diabetes (T2D). We identified 227,145 people with T2D aged > 42 years between 1999 and 2018. Annual mean levels of eight routinely measured cardio-metabolic factors were extracted from the Clinical Practice Research Datalink. Multivariable multilevel piecewise and non-piecewise growth curve models assessed retrospective trajectories of cardio-metabolic factors by dementia status from up to 19 years preceding dementia diagnosis (dementia) or last contact with healthcare (no dementia). 23,546 patients developed dementia; mean (SD) follow-up was 10.0 (5.8) years. In the dementia group, mean systolic blood pressure increased 16–19 years before dementia diagnosis compared with patients without dementia, but declined more steeply from 16 years before diagnosis, while diastolic blood pressure generally declined at similar rates. Mean body mass index followed a steeper non-linear decline from 11 years before diagnosis in the dementia group. Mean blood lipid levels (total cholesterol, LDL, HDL) and glycaemic measures (fasting plasma glucose and HbA1c) were generally higher in the dementia group compared with those without dementia and followed similar patterns of change. However, absolute group differences were small. Differences in levels of cardio-metabolic factors were observed up to two decades prior to dementia diagnosis. Our findings suggest that a long follow-up is crucial to minimise reverse causation arising from changes in cardio-metabolic factors during preclinical dementia. Future investigations which address associations between cardiometabolic factors and dementia should account for potential non-linear relationships and consider the timeframe when measurements are taken. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s10654-023-00977-7. Springer Netherlands 2023-03-04 2023 /pmc/articles/PMC10276060/ /pubmed/36869989 http://dx.doi.org/10.1007/s10654-023-00977-7 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open AccessThis 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 Cardiovascular Disease
Lai, Heidi T. M.
Chang, Kiara
Sharabiani, Mansour T. A.
Valabhji, Jonathan
Gregg, Edward W.
Middleton, Lefkos
Majeed, Azeem
Pearson-Stuttard, Jonathan
Millett, Christopher
Bottle, Alex
Vamos, Eszter P.
Twenty-year trajectories of cardio-metabolic factors among people with type 2 diabetes by dementia status in England: a retrospective cohort study
title Twenty-year trajectories of cardio-metabolic factors among people with type 2 diabetes by dementia status in England: a retrospective cohort study
title_full Twenty-year trajectories of cardio-metabolic factors among people with type 2 diabetes by dementia status in England: a retrospective cohort study
title_fullStr Twenty-year trajectories of cardio-metabolic factors among people with type 2 diabetes by dementia status in England: a retrospective cohort study
title_full_unstemmed Twenty-year trajectories of cardio-metabolic factors among people with type 2 diabetes by dementia status in England: a retrospective cohort study
title_short Twenty-year trajectories of cardio-metabolic factors among people with type 2 diabetes by dementia status in England: a retrospective cohort study
title_sort twenty-year trajectories of cardio-metabolic factors among people with type 2 diabetes by dementia status in england: a retrospective cohort study
topic Cardiovascular Disease
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10276060/
https://www.ncbi.nlm.nih.gov/pubmed/36869989
http://dx.doi.org/10.1007/s10654-023-00977-7
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