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Characterizing Multimorbidity from Type 2 Diabetes: Insights from Clustering Approaches

Patients with type 2 diabetes mellitus (T2DM) often live with and develop multiple co-occurring conditions, namely multimorbidity, with diffuse impacts on clinical care and patient quality of life. However, literature characterizing T2DM-related multimorbidity patterns is limited. This review summar...

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Detalles Bibliográficos
Autores principales: Cicek, Meryem, Buckley, James, Pearson-Stuttard, Jonathan, Gregg, Edward W.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8383848/
https://www.ncbi.nlm.nih.gov/pubmed/34399960
http://dx.doi.org/10.1016/j.ecl.2021.05.012
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author Cicek, Meryem
Buckley, James
Pearson-Stuttard, Jonathan
Gregg, Edward W.
author_facet Cicek, Meryem
Buckley, James
Pearson-Stuttard, Jonathan
Gregg, Edward W.
author_sort Cicek, Meryem
collection PubMed
description Patients with type 2 diabetes mellitus (T2DM) often live with and develop multiple co-occurring conditions, namely multimorbidity, with diffuse impacts on clinical care and patient quality of life. However, literature characterizing T2DM-related multimorbidity patterns is limited. This review summarizes the findings from the emerging literature characterizing and quantifying the association of T2DM with multimorbidity clusters. The authors’ findings reveal 3 dominant cluster types appearing in patients with T2DM-related multimorbidity, such as cardiometabolic precursor conditions, vascular conditions, and mental health conditions. The authors recommend that holistic patient care centers around early detection of other comorbidities and consideration of wider risk factors.
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spelling pubmed-83838482021-09-01 Characterizing Multimorbidity from Type 2 Diabetes: Insights from Clustering Approaches Cicek, Meryem Buckley, James Pearson-Stuttard, Jonathan Gregg, Edward W. Endocrinol Metab Clin North Am Article Patients with type 2 diabetes mellitus (T2DM) often live with and develop multiple co-occurring conditions, namely multimorbidity, with diffuse impacts on clinical care and patient quality of life. However, literature characterizing T2DM-related multimorbidity patterns is limited. This review summarizes the findings from the emerging literature characterizing and quantifying the association of T2DM with multimorbidity clusters. The authors’ findings reveal 3 dominant cluster types appearing in patients with T2DM-related multimorbidity, such as cardiometabolic precursor conditions, vascular conditions, and mental health conditions. The authors recommend that holistic patient care centers around early detection of other comorbidities and consideration of wider risk factors. Elsevier 2021-09 /pmc/articles/PMC8383848/ /pubmed/34399960 http://dx.doi.org/10.1016/j.ecl.2021.05.012 Text en © 2021 The Authors https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Cicek, Meryem
Buckley, James
Pearson-Stuttard, Jonathan
Gregg, Edward W.
Characterizing Multimorbidity from Type 2 Diabetes: Insights from Clustering Approaches
title Characterizing Multimorbidity from Type 2 Diabetes: Insights from Clustering Approaches
title_full Characterizing Multimorbidity from Type 2 Diabetes: Insights from Clustering Approaches
title_fullStr Characterizing Multimorbidity from Type 2 Diabetes: Insights from Clustering Approaches
title_full_unstemmed Characterizing Multimorbidity from Type 2 Diabetes: Insights from Clustering Approaches
title_short Characterizing Multimorbidity from Type 2 Diabetes: Insights from Clustering Approaches
title_sort characterizing multimorbidity from type 2 diabetes: insights from clustering approaches
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8383848/
https://www.ncbi.nlm.nih.gov/pubmed/34399960
http://dx.doi.org/10.1016/j.ecl.2021.05.012
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