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

ABSTRACT: 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 embolism (PE) and deep venous thrombosis (DVT). A total of 13,029 patients with a GCA diagnosis were included in this retrospective study. We investigated potential predictors of PE and DVT using univariable and multivariable Cox regression models. Nomograms were then constructed based on the results of our Cox models. We also assessed the accuracy and predictive ability of our models by using calibration curves and cross-validation concordance index. Age, inpatient status at the time of initia

SUBMITTER: Michailidou D 

PROVIDER: S-EPMC9681825 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature