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Giant-cell arteritis

Authors: Jennifer K, Hall;

Giant-cell arteritis

Abstract

Giant-cell arteritis frequently poses diagnostic and therapeutic challenges. This article summarizes recent investigations concerning diagnosis and treatment of giant-cell arteritis.Efforts to improve diagnostic accuracy have centered on serologic markers and imaging techniques. Although the erythrocyte-sedimentation rate, C-reactive protein, and platelet count continue to be the primary markers, others such as interleukin-6 and fibrinogen can provide additional information. High-resolution magnetic resonance imaging and angiography, fluorine-18-fluorodeoxyglucose positron emission tomography, and color Doppler ultrasonography can show findings relevant to the diagnosis of giant-cell arteritis. Recent inquiries suggest a steroid-sparing benefit from initiation of treatment with intravenous steroids. Adjunctive treatment with methotrexate may also provide this benefit. Aspirin appears to decrease likelihood of stroke or visual loss in giant-cell arteritis without increasing bleeding complications.An expanded repertoire of imaging techniques and serologic markers may supply information relevant to the diagnosis of challenging cases of giant-cell arteritis. Treatment modifications, including initiation with intravenous steroids, or addition of methotrexate or aspirin to the regimen, may decrease morbidity from disease, corticosteroid treatment or both.

Related Organizations
Keywords

Aspirin, Interleukin-6, Platelet Count, Giant Cell Arteritis, Fibrinogen, Blood Sedimentation, C-Reactive Protein, Methotrexate, Fluorodeoxyglucose F18, Humans, Radiopharmaceuticals, Ultrasonography, Doppler, Color, Glucocorticoids, Magnetic Resonance Angiography

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    popularity
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    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
13
Average
Top 10%
Top 10%
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