Literature DB >> 22938720

Factors associated to temporal artery biopsy result in suspects of giant cell arteritis: a retrospective, multicenter, case-control study.

Julio J González-López1, Julio González-Moraleja, Ana Burdaspal-Moratilla, Gema Rebolleda, María T Núñez-Gómez-Álvarez, Francisco J Muñoz-Negrete.   

Abstract

PURPOSE: To evaluate the positivity rate of temporal artery biopsies (TAB) performed in suspects of giant cell arteritis (GCA) and to study the epidemiological and clinical factors associated to the biopsy result.
METHODS: A retrospective, multicenter, case-control study was performed, including three hundred and thirty-five patients who underwent TAB for a suspicion of GCA from 2001 to 2010. Clinical, epidemiological and pathology data were recovered from the patients' clinical records. Histologic diagnosis of GCA was made when active inflammation or giant cells were found in the arterial wall.
RESULTS: Eighty-one biopsies (24.2%) were considered positive for GCA. Clinical factors independently associated to TAB result in a logistic regression analysis were temporal cutaneous hyperalgesia (OR = 10.8; p < 0.001), jaw claudication (OR = 4.6; p = 0.001), recent-onset headache (OR = 4.4; p = 0.001), decreased temporal pulse (OR = 2.8; p = 0.02), pain and stiffness in neck and shoulders (OR = 2.3; p = 0.05), unintentional weight loss (OR = 1.33; p = 0.003) and age (OR = 1.085; p = 0.004). Other factors such as length of the surgical specimen (OR = 1.079; p = 0.028) and erythrocyte sedimentation rate (OR = 1.042; p < 0.001) were also statistically significant. The model was accurate (C-index = 0.921), reliable (pHosmer-Lemeshow = 0.733) and consistent in the bootstrap sensitivity analysis. No significant association was detected between TAB result and number of days of previous systemic corticosteroid treatment (p = 0.146). However, an association was observed between TAB result and the total accumulated dose of previous systemic corticotherapy (p = 0.043).
CONCLUSIONS: Exhaustive anamnesis and clinical examination remain of paramount importance in the diagnosis of GCA. To improve the yield of TAB, it should be performed specially in older patients with GCA-compatible clinic. TAB could be avoided in patients with an isolated elevation of acute phase reactants, without GCA-compatible clinic.
© 2012 The Authors. Acta Ophthalmologica © 2012 Acta Ophthalmologica Scandinavica Foundation.

Entities:  

Keywords:  autoinflammatory diseases; biopsy; giant cell arteritis; temporal artery; vasculitis

Mesh:

Year:  2012        PMID: 22938720     DOI: 10.1111/j.1755-3768.2012.02505.x

Source DB:  PubMed          Journal:  Acta Ophthalmol        ISSN: 1755-375X            Impact factor:   3.761


  5 in total

1.  Baseline clinical predictors of an ultimate giant cell arteritis diagnosis in patients referred to temporal artery biopsy.

Authors:  Chagai Grossman; Iris Barshack; Nira Koren-Morag; Ilan Ben-Zvi; Gil Bornstein
Journal:  Clin Rheumatol       Date:  2016-03-01       Impact factor: 2.980

2.  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

3.  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

4.  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

5.  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

  5 in total

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