Literature DB >> 27938961

Clinical predictors of positive temporal artery biopsy.

Andrew Toren1, Ezekiel Weis2, Vivek Patel3, Bethany Monteith4, Steven Gilberg5, David Jordan6.   

Abstract

OBJECTIVE: We investigated the ability of known clinical signs and symptoms, as well as common laboratory tests, to correctly predict a positive temporal artery biopsy.
DESIGN: A prospective cohort study. PARTICIPANTS: Consecutive patients in a tertiary referral centre undergoing temporal artery biopsy.
METHODS: Clinical information was collected using a predesigned questionnaire. Pathology results and laboratory information were collected from digital patient records. MAIN OUTCOME MEASURE: The predictive value of clinical signs, symptoms, and laboratory values of a positive temporal artery biopsy.
RESULTS: Over a 3-year period, 259 patients were enrolled and 251 patients were analyzed. Sixty-one patients had a positive biopsy. Clinical features most predictive of a positive biopsy were jaw claudication (positive likelihood ratio [LR+] 2.31) and abnormal temporal artery pulse (LR+ 2.62). Receiver operating characteristic curves generated for erythrocyte sedimentation rate (ESR), C-reactive protein (CRP), and platelets values showed an area under curve (AUC) value of 0.71, 0.75, and 0.76, respectively. The initiation of steroids decreased the diagnostic utility of the ESR, CRP, and platelets values (AUC = 0.58, 0.61, and 0.63, respectively).
CONCLUSIONS: A variety of clinical signs and symptoms were observed in patients referred for a temporal artery biopsy. Clinical signs and symptoms were less accurate in predicting a positive biopsy than laboratory tests. No combination of clinical signs and symptoms tested was able to predict giant cell arteritis with the certainty necessary to justify or withhold long-term steroid therapy.
Copyright © 2016 Canadian Ophthalmological Society. Published by Elsevier Inc. All rights reserved.

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Year:  2016        PMID: 27938961     DOI: 10.1016/j.jcjo.2016.05.021

Source DB:  PubMed          Journal:  Can J Ophthalmol        ISSN: 0008-4182            Impact factor:   1.882


  6 in total

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Authors:  Beth McCausland; David Desai; David Havard; Yasmin Kaur; Asalet Yener; Emma Bradley; Harnish P Patel
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2.  The utility of ESR, CRP and platelets in the diagnosis of GCA.

Authors:  Fiona Li Ying Chan; Susan Lester; Samuel Lawrence Whittle; Catherine Louise Hill
Journal:  BMC Rheumatol       Date:  2019-04-10

3.  Multivariable prediction model for suspected giant cell arteritis: development and validation.

Authors:  Edsel B Ing; Gabriela Lahaie Luna; Andrew Toren; Royce Ing; John J Chen; Nitika Arora; Nurhan Torun; Otana A Jakpor; J Alexander Fraser; Felix J Tyndel; Arun Ne Sundaram; Xinyang Liu; Cindy Ty Lam; Vivek Patel; Ezekiel Weis; David Jordan; Steven Gilberg; Christian Pagnoux; Martin Ten Hove
Journal:  Clin Ophthalmol       Date:  2017-11-22

4.  The Impact of Temporal Artery Biopsy at a UK Tertiary Plastic Surgery Unit.

Authors:  Bryan J W Chew; Ankur Khajuria; Javier Ibanez
Journal:  Plast Reconstr Surg Glob Open       Date:  2019-11-27

5.  Diagnostic Accuracy of Symptoms, Physical Signs, and Laboratory Tests for Giant Cell Arteritis: A Systematic Review and Meta-analysis.

Authors:  Kornelis S M van der Geest; Maria Sandovici; Elisabeth Brouwer; Sarah L Mackie
Journal:  JAMA Intern Med       Date:  2020-10-01       Impact factor: 21.873

6.  A Diagnostic Algorithm Based on a Simple Clinical Prediction Rule for the Diagnosis of Cranial Giant Cell Arteritis.

Authors:  Michael Czihal; Christian Lottspeich; Christoph Bernau; Teresa Henke; Ilaria Prearo; Marc Mackert; Siegfried Priglinger; Claudia Dechant; Hendrik Schulze-Koops; Ulrich Hoffmann
Journal:  J Clin Med       Date:  2021-03-10       Impact factor: 4.241

  6 in total

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