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A new prediction model for giant cell arteritis in patients with new onset headache and/or visual loss.
- Source :
- Annals of Medicine; Dec2022, Vol. 54 Issue 1, p2769-2775, 7p
- Publication Year :
- 2022
-
Abstract
- The gold standard for diagnosis of giant cell arteritis (GCA) is a temporal artery biopsy (TAB). We sought for a clinical useful model to predict when an invasive TAB is not necessary to confirm GCA. A prospective cohort study was conducted with patients > 50 years with possible GCA, presenting with newly onset headache and/or visual loss. Demographical, clinical, laboratory findings and histological data were collected. Fifty-six (70%) of the 94 patients showed 1 or more halos of the superficial temporal artery branches. Ultrasound-guided biopsy was positive in 28 patients (30%). Four independent variables predicted a positive TAB: weight loss, bilateral headache, positive halo sign and thrombocytosis. The ROC of the model had an area under the curve of 0.932 with a PPV of 83% and a NPV of 94%. Weight loss, bilateral headache, a positive halo sign with duplex and thrombocytosis are the most important clinical and laboratory predictors for GCA in a selected group of patients. In patients > 50 years presenting with new onset headache or visual loss with 3 or more of the above mentioned risk factors, a biopsy of the temporal artery is not needed to confirm the diagnosis GCA. In our study biopsy of the temporal artery was positive in 30% of the patients with possible GCA Weight loss, bilateral headache, a positive halo sign on duplex and thrombocytosis are predictors for GCA The halo sign had a high sensitivity but a low specificity for a biopsy proven GCA [ABSTRACT FROM AUTHOR]
- Subjects :
- GIANT cell arteritis
TEMPORAL arteries
PREDICTION models
HEADACHE
WEIGHT loss
Subjects
Details
- Language :
- English
- ISSN :
- 07853890
- Volume :
- 54
- Issue :
- 1
- Database :
- Complementary Index
- Journal :
- Annals of Medicine
- Publication Type :
- Academic Journal
- Accession number :
- 161984519
- Full Text :
- https://doi.org/10.1080/07853890.2022.2130971