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Multimorbidity disease clusters are associated with venous thromboembolism : an extended cross-sectional national study

Ahrén, Jonatan LU orcid ; Pirouzifard, Mir Nabi LU ; Holmquist, Björn LU orcid ; Sundquist, Jan LU ; Sundquist, Kristina LU and Zöller, Bengt LU orcid (2024) In Journal of Thrombosis and Thrombolysis
Abstract

Multimorbidity, i.e., two or more non-communicable diseases (NCDs), is an escalating challenge for society. Venous thromboembolism (VTE) is a common cardiovascular disease and it is unknown which multimorbidity clusters associates with VTE. Our aim was to examine the association between different common disease clusters of multimorbidity and VTE. The study is an extended (1997–2015) cross-sectional Swedish study using the National Patient Register and the Multigeneration Register. A total of 2,694,442 Swedish-born individuals were included in the study. Multimorbidity was defined by 45 NCDs. A principal component analysis (PCA) identified multimorbidity disease clusters. Odds ratios (OR) for VTE were calculated for the different... (More)

Multimorbidity, i.e., two or more non-communicable diseases (NCDs), is an escalating challenge for society. Venous thromboembolism (VTE) is a common cardiovascular disease and it is unknown which multimorbidity clusters associates with VTE. Our aim was to examine the association between different common disease clusters of multimorbidity and VTE. The study is an extended (1997–2015) cross-sectional Swedish study using the National Patient Register and the Multigeneration Register. A total of 2,694,442 Swedish-born individuals were included in the study. Multimorbidity was defined by 45 NCDs. A principal component analysis (PCA) identified multimorbidity disease clusters. Odds ratios (OR) for VTE were calculated for the different multimorbidity disease clusters. There were 16% (n = 440,742) of multimorbid individuals in the study population. Forty-four of the individual 45 NCDs were associated with VTE. The PCA analysis identified nine multimorbidity disease clusters, F1-F9. Seven of these multimorbidity clusters were associated with VTE. The adjusted OR for VTE in the multimorbid patients was for the first three clusters: F1 (cardiometabolic diseases) 3.44 (95%CI 3.24–3.65), F2 (mental disorders) 2.25 (95%CI 2.14–2.37) and F3 (digestive system diseases) 4.35 (95%CI 3.63–5.22). There was an association between multimorbidity severity and OR for VTE. For instance, the occurrence of at least five diseases was in F1 and F2 associated with ORs for VTE: 8.17 (95%CI 6.32–10.55) and 6.31 (95%CI 4.34–9.17), respectively. In this nationwide study we have shown a strong association between VTE and different multimorbidity disease clusters that might be useful for VTE prediction. Graphical abstract: (Figure presented.)

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author
; ; ; ; and
organization
publishing date
type
Contribution to journal
publication status
epub
subject
keywords
Epidemiology, Genetics medical, Medicine, Multimorbidity, Public health, Venous Thromboembolism
in
Journal of Thrombosis and Thrombolysis
publisher
Springer
external identifiers
  • scopus:85191707743
  • pmid:38678153
ISSN
0929-5305
DOI
10.1007/s11239-024-02987-y
language
English
LU publication?
yes
id
6b7b5191-1ad9-45b8-b71a-7b41434ce153
date added to LUP
2024-05-15 14:17:39
date last changed
2024-06-26 18:38:19
@article{6b7b5191-1ad9-45b8-b71a-7b41434ce153,
  abstract     = {{<p>Multimorbidity, i.e., two or more non-communicable diseases (NCDs), is an escalating challenge for society. Venous thromboembolism (VTE) is a common cardiovascular disease and it is unknown which multimorbidity clusters associates with VTE. Our aim was to examine the association between different common disease clusters of multimorbidity and VTE. The study is an extended (1997–2015) cross-sectional Swedish study using the National Patient Register and the Multigeneration Register. A total of 2,694,442 Swedish-born individuals were included in the study. Multimorbidity was defined by 45 NCDs. A principal component analysis (PCA) identified multimorbidity disease clusters. Odds ratios (OR) for VTE were calculated for the different multimorbidity disease clusters. There were 16% (n = 440,742) of multimorbid individuals in the study population. Forty-four of the individual 45 NCDs were associated with VTE. The PCA analysis identified nine multimorbidity disease clusters, F1-F9. Seven of these multimorbidity clusters were associated with VTE. The adjusted OR for VTE in the multimorbid patients was for the first three clusters: F1 (cardiometabolic diseases) 3.44 (95%CI 3.24–3.65), F2 (mental disorders) 2.25 (95%CI 2.14–2.37) and F3 (digestive system diseases) 4.35 (95%CI 3.63–5.22). There was an association between multimorbidity severity and OR for VTE. For instance, the occurrence of at least five diseases was in F1 and F2 associated with ORs for VTE: 8.17 (95%CI 6.32–10.55) and 6.31 (95%CI 4.34–9.17), respectively. In this nationwide study we have shown a strong association between VTE and different multimorbidity disease clusters that might be useful for VTE prediction. Graphical abstract: (Figure presented.)</p>}},
  author       = {{Ahrén, Jonatan and Pirouzifard, Mir Nabi and Holmquist, Björn and Sundquist, Jan and Sundquist, Kristina and Zöller, Bengt}},
  issn         = {{0929-5305}},
  keywords     = {{Epidemiology; Genetics medical; Medicine; Multimorbidity; Public health; Venous Thromboembolism}},
  language     = {{eng}},
  publisher    = {{Springer}},
  series       = {{Journal of Thrombosis and Thrombolysis}},
  title        = {{Multimorbidity disease clusters are associated with venous thromboembolism : an extended cross-sectional national study}},
  url          = {{http://dx.doi.org/10.1007/s11239-024-02987-y}},
  doi          = {{10.1007/s11239-024-02987-y}},
  year         = {{2024}},
}