A Diagnostic Algorithm Based on a Simple Clinical Prediction Rule for the Diagnosis of Cranial Giant Cell Arteritis

Background: Risk stratification based on pre-test probability may improve the diagnostic accuracy of temporal artery high-resolution compression sonography (hrTCS) in the diagnostic workup of cranial giant cell arteritis (cGCA). Methods: A logistic regression model with candidate items was derived f...

Descripción completa

Detalles Bibliográficos
Autores principales: Czihal, Michael, Lottspeich, Christian, Bernau, Christoph, Henke, Teresa, Prearo, Ilaria, Mackert, Marc, Priglinger, Siegfried, Dechant, Claudia, Schulze-Koops, Hendrik, Hoffmann, Ulrich
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8001831/
https://www.ncbi.nlm.nih.gov/pubmed/33802092
http://dx.doi.org/10.3390/jcm10061163

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8001831/
https://www.ncbi.nlm.nih.gov/pubmed/33802092
http://dx.doi.org/10.3390/jcm10061163

Ejemplares similares