Predictive models for thromboembolic events in giant cell arteritis: A US veterans health administration population-based study

Predictive models for thromboembolic events in giant cell arteritis: A US veterans health administration population-based study

Giant cell arteritis (GCA) that affects older patients is an independent risk factor for thromboembolic events. The objective of this study was to identify predictive factors for thromboembolic events in patients with GCA and develop quantitative predictive tools (prognostic nomograms) for pulmonary...

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Bibliographic Details
Main Authors: Despina Michailidou, Tianyu Zhang, Nicole M. Kuderer, Gary H. Lyman, Andreas P. Diamantopoulos, Pavlos Stamatis, Bernard Ng
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-11-01
Series:Frontiers in Immunology
Subjects:
giant cell arteritis
thromboinflammation
pulmonary embolism
deep venous thrombosis
thromboembolic events
nomograms
Online Access:https://www.frontiersin.org/articles/10.3389/fimmu.2022.997347/full

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https://www.frontiersin.org/articles/10.3389/fimmu.2022.997347/full

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