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Development and external validation of a risk prediction score (DASHI) for cardiovascular events following acute respiratory infections: derivation and validation retrospective cohort study

Abstract:
Background
Acute respiratory infections increase the short-term risk of myocardial infarction (MI) and stroke in primary care patients. Clinical guidelines for acute respiratory infections in primary care do not consider the risk of cardiovascular events, and CVD risk prediction tools target long-term risk. We aimed to develop and validate a prediction tool for the risk of cardiovascular disease events within 28-days of acute respiratory infection.
Methods
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Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1016/j.eclinm.2025.103273

Authors

More by this author
Institution:
University of Oxford
Division:
MSD
Department:
Primary Care Health Sciences
Role:
Author
ORCID:
0000-0002-4033-0915
More by this author
Institution:
University of Oxford
Division:
MSD
Department:
Primary Care Health Sciences
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MSD
Department:
Primary Care Health Sciences
Role:
Author
ORCID:
0000-0002-7196-1509


More from this funder
Funder identifier:
https://ror.org/02nv4he32
Grant:
NIHR300738


Publisher:
Elsevier
Journal:
EClinicalMedicine More from this journal
Volume:
84
Article number:
103273
Publication date:
2025-06-02
Acceptance date:
2025-05-12
DOI:
EISSN:
2589-5370
ISSN:
2589-5370


Language:
English
Keywords:
Pubs id:
2124112
Local pid:
pubs:2124112
Source identifiers:
W4410945957
Deposit date:
2025-05-15
ARK identifier:

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