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Identification of Acute Giant Cell Arteritis in Real‐World Data Using Administrative Claims‐Based Algorithms

The objective of this study was to validate claims‐based algorithms for identifying acute giant cell arteritis (GCA) that will help generate real‐world evidence on comparative effectiveness research and epidemiologic studies. Among patients identified by the GCA algorithm, we further investigated whether GCA flares could be detected by using claims data.