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Identifying giant cell arteritis patients with higher risk of relapse and vascular events: a cluster analysis
A F Guédon1, C Froger1, C Agard1
1CHU Nantes, Department of Internal and Vascular Medicine, l'institut du thorax, INSERM UMR1087/CNRS UMR 6291, Team III Vascular & Pulmonary Diseases, Nantes Université, Nantes, France.
Insights
Giant cell arteritis (GCA) patient profiles vary significantly. Younger patients face vascular risks, while older individuals experience higher mortality, necessitating tailored management strategies for large vessel vasculitis.
Area of Science:
- Rheumatology
- Immunology
- Cardiovascular Medicine
Background:
- Giant cell arteritis (GCA) is a common large vessel vasculitis (LVV).
- High risk of relapse and cardiovascular complications in GCA patients.
- Effective risk stratification remains a challenge in GCA management.
Purpose of the Study:
- To perform cluster analysis in GCA patients.
- To identify distinct patient clusters within GCA.
- To evaluate the prognostic value of identified GCA clusters.
Main Methods:
- Multicenter cohort study.
- Hierarchical cluster analysis of 283 GCA patients' characteristics.
- Assessment of relapse, cardiovascular events, and mortality incidence.
Main Results:
- Three GCA clusters identified: 'Vascular relapsing' (23.0%), 'Typical GCA' (47.7%), and 'Ophthalmologic elderly' (29.3%).
- 'Vascular relapsing' cluster: younger patients, frequent relapses, cardiovascular events (thoracic aortic aneurysms).
- 'Typical GCA' cluster: classic cranial symptoms, polymyalgia rheumatica.
- 'Ophthalmologic elderly' cluster: oldest patients, visual loss, highest mortality.
Conclusions:
- GCA exhibits a varied prognostic landscape.
- Younger patients with LV involvement have poor cardiovascular prognosis.
- Elderly GCA patients face higher mortality, warranting further research on screening and intensive treatment.
Objective:
Giant cell arteritis (GCA) is one of the most common large vessel (LVV) vasculitis and is associated with a high risk of relapse and cardiovascular complications. Improving risk stratification remains a significant issue in this patient population. We aimed to perform a cluster analysis among GCA to identify clusters and evaluate their prognostic value.
Methods:
In a multicenter cohort study, we performed hierarchical cluster analysis on the factor analysis of mixed data coordinates results with 283 GCA patients' characteristics to generate clusters and assess incidence of relapse, cardiovascular events and death.
Results:
Three clusters were identified: 'Vascular relapsing profile' (23.0%), 'Typical GCA profile' (47.7%) and 'Ophthalmologic elderly profile' (29.3%). The 'Vascular relapsing profile' cluster included younger patients with more frequent relapses and cardiovascular events, particularly thoracic aortic aneurysms. The 'Typical GCA profile' was the largest, with classic cranial manifestations and frequently associated polymyalgia rheumatica. The 'Ophthalmologic elderly profile' had the oldest patients with more visual loss and the highest mortality rate.
Conclusions:
Our findings underline the varied prognostic landscape within GCA, emphasizing the poor cardiovascular prognosis of younger patients with LV involvement and the higher mortality among elderly patients. This reinforces the need for further research regarding the screening of aortic abnormalities and whether those patients might benefit from intensive treatment with biotherapy and cardiovascular risk factors management.
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