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Diagnostic Algorithm for Patients With Suspected Giant Cell Arteritis

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Title Journal of Neuro-Ophthalmology, September 2015, Volume 35, Issue 3
Date 2015-09
Language eng
Format application/pdf
Type Text
Publication Type Journal Article
Collection Neuro-ophthalmology Virtual Education Library: NOVEL http://NOVEL.utah.edu
Publisher Lippincott, Williams & Wilkins
Holding Institution Spencer S. Eccles Health Sciences Library, University of Utah, 10 N 1900 E SLC, UT 84112-5890
Rights Management © North American Neuro-Ophthalmology Society
ARK ark:/87278/s62j9hxc
Setname ehsl_novel_jno
ID 227767
Reference URL https://collections.lib.utah.edu/ark:/87278/s62j9hxc

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Title Diagnostic Algorithm for Patients With Suspected Giant Cell Arteritis
Creator Mays A. EI-Dairi; Lan Chang; Alan D. Proia; Thomas J. Cummings; Sandra S. Stinnett; M. Tariq Bhatti
Abstract BACKGROUND: To identify clinical and laboratory factors contributing to the diagnosis of giant cell arteritis (GCA) and develop a diagnostic algorithm for the evaluation of GCA. METHODS: Retrospective review of 213 consecutive cases of temporal artery biopsy (TAB) seen at a single academic center over a 10-year period (2000-2009). Pathologic specimens were re-reviewed and agreement between the original and second readings was assessed. A composite clinical suspicion score was created by adding 1 point for each of the following criteria: anterior extracranial circulation ischemia, new onset headache, abnormal laboratory results (erythrocyte sedimentation rate, C-reactive protein (CRP), or platelet count), jaw claudication, abnormal or tender superficial temporal artery, constitutional symptoms, and polymyalgia rheumatica; one point was subtracted if a comorbid condition could explain a criterion. RESULTS: Of the 204 TABs analyzed, pathologic findings were confirmatory in 49 (24.0%) and suggestive in 12 (5.9%). TAB-positive patients were more likely to be older (age 75.2 7.8 vs 69.7 11.0 years, P = 0.0002), complain of jaw claudication (relative-risk = 3.26, P = 0.0014), and have thrombocytosis (relative-risk = 3.3, P = 0.0072) and elevated CRP (relative-risk = 1.8, P = 0.037). None of the patients with a clinical score less than 2 had a positive TAB. Diabetes mellitus and kidney disease were often the explanation for the symptoms and abnormal clinical finding(s) that led to a negative TAB. CONCLUSIONS: We propose a clinical algorithm that is highly predictive for a positive TAB and can be valuable in the evaluation process of suspected cases of GCA.
Subject Adult; Older people; Older people, 80 and over; Algorithms; Blood Sedimentation; C-Reactive Protein; Diagnosis, Differential; Diagnostic Techniques, ; Ophthalmological; Female; Giant Cell Arteritis; Humans; Longitudinal Studies; Male; Middle Older people; Platelet Count; ROC Curve
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Format application/pdf
Holding Institution Spencer S. Eccles Health Sciences Library, University of Utah, 10 N 1900 E SLC, UT 84112-5890
Setname ehsl_novel_jno
ID 227740
Reference URL https://collections.lib.utah.edu/ark:/87278/s62j9hxc/227740
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