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Identifying Patients with Pulmonary Arterial Hypertension Using Administrative Claims Algorithms

dc.contributor.authorMathai, Stephen C.
dc.contributor.authorHemnes, Anna Ryan
dc.contributor.authorManaker, Scott
dc.contributor.authorAnguiano, Rebekah H.
dc.contributor.authorDean, Bonnie B.
dc.contributor.authorSaundankar, Vishal
dc.contributor.authorClassi, Peter
dc.contributor.authorNelsen, Andrew C.
dc.contributor.authorGordon, Kathryn
dc.contributor.authorVentetuolo, Corey E.
dc.identifier.citationMathai, S. C., Hemnes, A. R., Manaker, S., Anguiano, R. H., Dean, B. B., Saundankar, V., Classi, P., Nelsen, A. C., Gordon, K., & Ventetuolo, C. E. (2019). Identifying Patients with Pulmonary Arterial Hypertension Using Administrative Claims Algorithms. Annals of the American Thoracic Society, 16(7), 797–806.
dc.description.abstractRetrospective administrative claims database studies provide real-world evidence about treatment patterns, healthcare resource use, and costs for patients and are increasingly used to inform policy-making, drug formulary, and regulatory decisions. However, there is no standard methodology to identify patients with pulmonary arterial hypertension (PAH) from administrative claims data. Given the number of approved drugs now available for patients with PAH, the cost of PAH treatments, and the significant healthcare resource use associated with the care of patients with PAH, there is a considerable need to develop an evidence-based and systematic approach to accurately identify these patients in claims databases. A panel of pulmonary hypertension clinical experts and researchers experienced in retrospective claims database studies convened to review relevant literature and recommend best practices for developing algorithms to identify patients with PAH in administrative claims databases specific to a particular research hypothesis.en_US
dc.publisherAnnals of the American Thoracic Societyen_US
dc.rightsThis article is open access and distributed under the terms of the Creative Commons Attribution Non-Commercial No Derivatives License 4.0 ( For commercial usage and reprints, please contact Diane Gern (
dc.subjectpulmonary hypertensionen_US
dc.subjectpulmonary arterial hypertensionen_US
dc.subjectadministrative claimsen_US
dc.titleIdentifying Patients with Pulmonary Arterial Hypertension Using Administrative Claims Algorithmsen_US

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