Identification of Acute Giant Cell Arteritis in Real-World Data Using Administrative Claims-Based Algorithms.
Hemin LeeSara K TedeschiSarah K ChenPaul A MonachErin KimJun LiuAttila Pethoe-SchrammVincent YauSeoyoung C KimPublished in: ACR open rheumatology (2021)
A claims-based algorithm requiring two or more ICD-9 diagnosis codes from inpatient, emergency department, or outpatient rheumatology visits and high-dose glucocorticoid dispensing can be a useful tool to identify acute GCA cases in large administrative claims databases.
Keyphrases
- health insurance
- emergency department
- liver failure
- giant cell
- high dose
- machine learning
- respiratory failure
- deep learning
- big data
- drug induced
- aortic dissection
- mental health
- palliative care
- low dose
- electronic health record
- rheumatoid arthritis
- systemic lupus erythematosus
- juvenile idiopathic arthritis
- stem cell transplantation
- bioinformatics analysis
- adverse drug