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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Detalles Bibliográficos
Autores principales: Michailidou, Despina, Zhang, Tianyu, Kuderer, Nicole M., Lyman, Gary H., Diamantopoulos, Andreas P., Stamatis, Pavlos, Ng, Bernard
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Immunology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9681825/
https://www.ncbi.nlm.nih.gov/pubmed/36439172
http://dx.doi.org/10.3389/fimmu.2022.997347

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9681825/
https://www.ncbi.nlm.nih.gov/pubmed/36439172
http://dx.doi.org/10.3389/fimmu.2022.997347

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