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Temporal patterns of multi-morbidity in 570157 ischemic heart disease patients: a nationwide cohort study

BACKGROUND: Patients diagnosed with ischemic heart disease (IHD) are becoming increasingly multi-morbid, and studies designed to analyze the full spectrum are few. METHODS: Disease trajectories, defined as time-ordered series of diagnoses, were used to study the temporality of multi-morbidity. The m...

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Autores principales: Haue, Amalie D., Armenteros, Jose J. Almagro, Holm, Peter C., Eriksson, Robert, Moseley, Pope L., Køber, Lars V., Bundgaard, Henning, Brunak, Søren
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9158400/
https://www.ncbi.nlm.nih.gov/pubmed/35641964
http://dx.doi.org/10.1186/s12933-022-01527-3
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author Haue, Amalie D.
Armenteros, Jose J. Almagro
Holm, Peter C.
Eriksson, Robert
Moseley, Pope L.
Køber, Lars V.
Bundgaard, Henning
Brunak, Søren
author_facet Haue, Amalie D.
Armenteros, Jose J. Almagro
Holm, Peter C.
Eriksson, Robert
Moseley, Pope L.
Køber, Lars V.
Bundgaard, Henning
Brunak, Søren
author_sort Haue, Amalie D.
collection PubMed
description BACKGROUND: Patients diagnosed with ischemic heart disease (IHD) are becoming increasingly multi-morbid, and studies designed to analyze the full spectrum are few. METHODS: Disease trajectories, defined as time-ordered series of diagnoses, were used to study the temporality of multi-morbidity. The main data source was The Danish National Patient Register (NPR) comprising 7,179,538 individuals in the period 1994–2018. Patients with a diagnosis code for IHD were included. Relative risks were used to quantify the strength of the association between diagnostic co-occurrences comprised of two diagnoses that were overrepresented in the same patients. Multiple linear regression models were then fitted to test for temporal associations among the diagnostic co-occurrences, termed length two disease trajectories. Length two disease trajectories were then used as basis for constructing disease trajectories of three diagnoses. RESULTS: In a cohort of 570,157 IHD disease patients, we identified 1447 length two disease trajectories and 4729 significant length three disease trajectories. These included 459 distinct diagnoses. Disease trajectories were dominated by chronic diseases and not by common, acute diseases such as pneumonia. The temporal association of atrial fibrillation (AF) and IHD differed in different IHD subpopulations. We found an association between osteoarthritis (OA) and heart failure (HF) among patients diagnosed with OA, IHD, and then HF only. CONCLUSIONS: The sequence of diagnoses is important in characterization of multi-morbidity in IHD patients as the disease trajectories. The study provides evidence that the timing of AF in IHD marks distinct IHD subpopulations; and secondly that the association between osteoarthritis and heart failure is dependent on IHD. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12933-022-01527-3.
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spelling pubmed-91584002022-06-02 Temporal patterns of multi-morbidity in 570157 ischemic heart disease patients: a nationwide cohort study Haue, Amalie D. Armenteros, Jose J. Almagro Holm, Peter C. Eriksson, Robert Moseley, Pope L. Køber, Lars V. Bundgaard, Henning Brunak, Søren Cardiovasc Diabetol Research BACKGROUND: Patients diagnosed with ischemic heart disease (IHD) are becoming increasingly multi-morbid, and studies designed to analyze the full spectrum are few. METHODS: Disease trajectories, defined as time-ordered series of diagnoses, were used to study the temporality of multi-morbidity. The main data source was The Danish National Patient Register (NPR) comprising 7,179,538 individuals in the period 1994–2018. Patients with a diagnosis code for IHD were included. Relative risks were used to quantify the strength of the association between diagnostic co-occurrences comprised of two diagnoses that were overrepresented in the same patients. Multiple linear regression models were then fitted to test for temporal associations among the diagnostic co-occurrences, termed length two disease trajectories. Length two disease trajectories were then used as basis for constructing disease trajectories of three diagnoses. RESULTS: In a cohort of 570,157 IHD disease patients, we identified 1447 length two disease trajectories and 4729 significant length three disease trajectories. These included 459 distinct diagnoses. Disease trajectories were dominated by chronic diseases and not by common, acute diseases such as pneumonia. The temporal association of atrial fibrillation (AF) and IHD differed in different IHD subpopulations. We found an association between osteoarthritis (OA) and heart failure (HF) among patients diagnosed with OA, IHD, and then HF only. CONCLUSIONS: The sequence of diagnoses is important in characterization of multi-morbidity in IHD patients as the disease trajectories. The study provides evidence that the timing of AF in IHD marks distinct IHD subpopulations; and secondly that the association between osteoarthritis and heart failure is dependent on IHD. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12933-022-01527-3. BioMed Central 2022-05-31 /pmc/articles/PMC9158400/ /pubmed/35641964 http://dx.doi.org/10.1186/s12933-022-01527-3 Text en © The Author(s) 2022 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/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Haue, Amalie D.
Armenteros, Jose J. Almagro
Holm, Peter C.
Eriksson, Robert
Moseley, Pope L.
Køber, Lars V.
Bundgaard, Henning
Brunak, Søren
Temporal patterns of multi-morbidity in 570157 ischemic heart disease patients: a nationwide cohort study
title Temporal patterns of multi-morbidity in 570157 ischemic heart disease patients: a nationwide cohort study
title_full Temporal patterns of multi-morbidity in 570157 ischemic heart disease patients: a nationwide cohort study
title_fullStr Temporal patterns of multi-morbidity in 570157 ischemic heart disease patients: a nationwide cohort study
title_full_unstemmed Temporal patterns of multi-morbidity in 570157 ischemic heart disease patients: a nationwide cohort study
title_short Temporal patterns of multi-morbidity in 570157 ischemic heart disease patients: a nationwide cohort study
title_sort temporal patterns of multi-morbidity in 570157 ischemic heart disease patients: a nationwide cohort study
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9158400/
https://www.ncbi.nlm.nih.gov/pubmed/35641964
http://dx.doi.org/10.1186/s12933-022-01527-3
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