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Updated: Feb 22, 2026

An Immunohistopathologic Study to Profile the Folate Receptor Beta Macrophage and Vascular Immune Microenvironment in Giant Cell Arteritis
Published on: February 8, 2019
Is there a seasonal pattern in giant cell arteritis? Revisiting the evidence in a large monocentric cohort over 30
Milena Bond1, Philipp Bosch2, Thomas Kuenzer3
1Department of Rheumatology, Hospital of Bruneck (ASAA-SABES), Teaching Hospital of the Paracelsius Medical University, Brunico, Italy.
Insights
Giant cell arteritis (GCA) shows no broad seasonal pattern in symptom onset. However, a slight increase in GCA cases was observed in December and January.
Area of Science:
- Rheumatology
- Epidemiology
- Temporal pattern analysis
Background:
- Giant cell arteritis (GCA) diagnosis may be influenced by seasonality, but evidence is conflicting.
- Previous studies may have masked temporal patterns by using diagnosis or biopsy dates instead of symptom onset.
Purpose of the Study:
- To investigate seasonal patterns in GCA symptom onset.
- To analyze month/season effects in relation to long-term trends and clinical subgroups.
Main Methods:
- Analysis of a monocentric cohort (n=1149) with documented GCA symptom onset (1994-2023).
- Statistical testing for uniformity across seasons and months using exact multinomial tests and negative-binomial models.
- Subgroup analysis by sex and GCA phenotype (cranial, large-vessel, mixed). Ultrasound was the primary diagnostic tool.
Main Results:
- GCA symptom onset showed balanced distribution across meteorological seasons (p=0.36).
- Monthly distribution departed from uniformity (p=0.002), with higher incidence in January and December compared to other months.
- No consistent seasonality was found in subgroups based on sex or phenotype.
Conclusions:
- No convincing evidence for broad meteorological seasonality in GCA symptom onset over three decades.
- A short-term monthly variation, with a relative increase in December-January, was observed.
Background:
Despite perceived clinical clustering, the evidence for GCA seasonality is conflicting and reliance on diagnosis or biopsy dates rather than symptom onset may have masked genuine temporal patterns.
Objectives:
To determine whether GCA exhibits a seasonal pattern of symptom onset, and to contextualise any month/season effects against long-term trends and clinical subgroups.
Methods:
We analysed a monocentric cohort from Berlin-Buch (Germany, 1994-2023). Consecutive patients with clinically confirmed GCA and a documented symptom-onset date were included (n = 1149). We tested uniformity across meteorological seasons and months via exact multinomial tests and fitted negative-binomial models with b-splines for long-term trends, month-length offsets, and alternative seasonal specifications (month-by-month reference, season factor, cosinor with one/two cycles). Subgroups were defined by sex and GCA phenotype (cranial, large-vessel, mixed). Ultrasound was the primary diagnostic modality for confirming GCA.
Results:
Seasonal distribution was balanced across seasons (winter 27.0%; spring 25.4%; summer 24.0%; autumn 23.6%; p = 0.36). Monthly distribution departed from uniformity (p = 0.002), with significantly higher incidence in January vs February (+88%), December vs February (+80%), and January vs September (+67%) with similar incidence rates across the rest of the year. Subgroup analyses revealed no consistent seasonality by sex or phenotype.
Conclusion:
Across nearly three decades, we found no convincing evidence for broad meteorological seasonality in GCA symptom onset, although short-term monthly variation, including a relative increase in December-January, was observed.
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