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Type 2 Diabetes Clusters Indicate Diabetes Duration Key in Fracture Risk

Introduction: Individuals with type 2 diabetes mellitus (T2DM) are at an increased risk of developing fractures, despite higher mean BMI and BMD. Recently, clinically-relevant sub-groups of T2DM have been characterised using biomarkers of glycemic metabolism. Aim: Characterise T2DM sub-groups in a p...

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Autores principales: Ghatan, Sam, Ahmadizar, Fariba, Li, Ruolin, Medina-Gomez, Carolina, Zillikens, Maria Carola, Rivadeneira, Fernando, Kavousi, Maryam, Oei, Ling
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8089622/
http://dx.doi.org/10.1210/jendso/bvab048.570
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author Ghatan, Sam
Ahmadizar, Fariba
Li, Ruolin
Medina-Gomez, Carolina
Zillikens, Maria Carola
Rivadeneira, Fernando
Kavousi, Maryam
Oei, Ling
author_facet Ghatan, Sam
Ahmadizar, Fariba
Li, Ruolin
Medina-Gomez, Carolina
Zillikens, Maria Carola
Rivadeneira, Fernando
Kavousi, Maryam
Oei, Ling
author_sort Ghatan, Sam
collection PubMed
description Introduction: Individuals with type 2 diabetes mellitus (T2DM) are at an increased risk of developing fractures, despite higher mean BMI and BMD. Recently, clinically-relevant sub-groups of T2DM have been characterised using biomarkers of glycemic metabolism. Aim: Characterise T2DM sub-groups in a population-based setting and test for differences in fracture risk. Methods: A total of 10019 Rotterdam Study participants were available with glycemic and (incident) fracture follow-up. Participants with T2DM (n=1678) were partitioned in subgroups using K-means clustering based on: HOMA-B, HOMA-IR, age of diabetes onset, BMI and waist circumference measurements. Non-vertebral fracture risk was estimated across T2D subgroups using Cox proportional hazard models, adjusted for sex, age, BMI, collection cohort and prevalent T2DM. Results: Four T2D clusters were defined each with relatively-unique clinical characteristics namely, 1) advanced age of onset; 2) decreased insulin sensitivity; 3) beta-cell disfunction; 4) Obesity/high BMI. Individuals with prevalent and incident T2DM (independent of cluster) had lower risk of fracture than non-diabetics (see Forest plot). In contrast, individuals with prevalent T2DM (n=1152) had increased risk of non-vertebral fracture (HR: 2.1, 95%CI: 1.65–2.76), than individuals without T2DM. Conclusion: Despite that partitioning the heterogeneity of T2DM in clinically-meaningful clusters opens the road to tailored prevention and care, our findings with prevalent T2DM indicate that disease duration (likely with inadequate glycemic control) is the main determinant of fracture risk. In line with this contention, the association between T2DM and fracture risk is not causal, as causality requires association with incident cases, as also confirmed by earlier Mendelian randomization studies. Future work, using genetically-determined disease definitions and biomarkers will help unveil clusters of individuals with T2DM at increased risk of fracture.
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spelling pubmed-80896222021-05-06 Type 2 Diabetes Clusters Indicate Diabetes Duration Key in Fracture Risk Ghatan, Sam Ahmadizar, Fariba Li, Ruolin Medina-Gomez, Carolina Zillikens, Maria Carola Rivadeneira, Fernando Kavousi, Maryam Oei, Ling J Endocr Soc Bone and Mineral Metabolism Introduction: Individuals with type 2 diabetes mellitus (T2DM) are at an increased risk of developing fractures, despite higher mean BMI and BMD. Recently, clinically-relevant sub-groups of T2DM have been characterised using biomarkers of glycemic metabolism. Aim: Characterise T2DM sub-groups in a population-based setting and test for differences in fracture risk. Methods: A total of 10019 Rotterdam Study participants were available with glycemic and (incident) fracture follow-up. Participants with T2DM (n=1678) were partitioned in subgroups using K-means clustering based on: HOMA-B, HOMA-IR, age of diabetes onset, BMI and waist circumference measurements. Non-vertebral fracture risk was estimated across T2D subgroups using Cox proportional hazard models, adjusted for sex, age, BMI, collection cohort and prevalent T2DM. Results: Four T2D clusters were defined each with relatively-unique clinical characteristics namely, 1) advanced age of onset; 2) decreased insulin sensitivity; 3) beta-cell disfunction; 4) Obesity/high BMI. Individuals with prevalent and incident T2DM (independent of cluster) had lower risk of fracture than non-diabetics (see Forest plot). In contrast, individuals with prevalent T2DM (n=1152) had increased risk of non-vertebral fracture (HR: 2.1, 95%CI: 1.65–2.76), than individuals without T2DM. Conclusion: Despite that partitioning the heterogeneity of T2DM in clinically-meaningful clusters opens the road to tailored prevention and care, our findings with prevalent T2DM indicate that disease duration (likely with inadequate glycemic control) is the main determinant of fracture risk. In line with this contention, the association between T2DM and fracture risk is not causal, as causality requires association with incident cases, as also confirmed by earlier Mendelian randomization studies. Future work, using genetically-determined disease definitions and biomarkers will help unveil clusters of individuals with T2DM at increased risk of fracture. Oxford University Press 2021-05-03 /pmc/articles/PMC8089622/ http://dx.doi.org/10.1210/jendso/bvab048.570 Text en © The Author(s) 2021. Published by Oxford University Press on behalf of the Endocrine Society. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs licence (http://creativecommons.org/licenses/by-nc-nd/4.0/ (https://creativecommons.org/licenses/by-nc-nd/4.0/) ), which permits non-commercial reproduction and distribution of the work, in any medium, provided the original work is not altered or transformed in any way, and that the work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
spellingShingle Bone and Mineral Metabolism
Ghatan, Sam
Ahmadizar, Fariba
Li, Ruolin
Medina-Gomez, Carolina
Zillikens, Maria Carola
Rivadeneira, Fernando
Kavousi, Maryam
Oei, Ling
Type 2 Diabetes Clusters Indicate Diabetes Duration Key in Fracture Risk
title Type 2 Diabetes Clusters Indicate Diabetes Duration Key in Fracture Risk
title_full Type 2 Diabetes Clusters Indicate Diabetes Duration Key in Fracture Risk
title_fullStr Type 2 Diabetes Clusters Indicate Diabetes Duration Key in Fracture Risk
title_full_unstemmed Type 2 Diabetes Clusters Indicate Diabetes Duration Key in Fracture Risk
title_short Type 2 Diabetes Clusters Indicate Diabetes Duration Key in Fracture Risk
title_sort type 2 diabetes clusters indicate diabetes duration key in fracture risk
topic Bone and Mineral Metabolism
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8089622/
http://dx.doi.org/10.1210/jendso/bvab048.570
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