B97. What's New in Clinical Research in Pulmonary Hypertension: Lessons From the Best Abstracts 2020
DOI: 10.1164/ajrccm-conference.2020.201.1_meetingabstracts.a4245
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Bayesian Network Modeling: The Future of Pulmonary Arterial Hypertension Risk Stratification Through the PHORA Initiative

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“…Dr. Benza’s ATS presentation highlighted an updated PHORA 2.0 model. 2 Avoiding the known limitations of registry data, PHORA 2.0 was developed using large datasets aggregated from contemporary clinical trials. Rather than anchoring to the same REVEAL-based input parameters and cut-points, the PHORA 2.0 model was built by incorporating both empirical methods and domain knowledge to select and refine variables with the greatest predictive power.…”
Section: Improving Pah Risk Assessmentmentioning
confidence: 99%
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“…Dr. Benza’s ATS presentation highlighted an updated PHORA 2.0 model. 2 Avoiding the known limitations of registry data, PHORA 2.0 was developed using large datasets aggregated from contemporary clinical trials. Rather than anchoring to the same REVEAL-based input parameters and cut-points, the PHORA 2.0 model was built by incorporating both empirical methods and domain knowledge to select and refine variables with the greatest predictive power.…”
Section: Improving Pah Risk Assessmentmentioning
confidence: 99%
“…Five major research themes emerged: standardizing diagnosis and management of PH, improving risk assessment in pulmonary arterial hypertension (PAH), evaluating biomarkers of disease activity, understanding metabolic dysregulation across the spectrum of PH, and advancing knowledge in chronic thromboembolic PH (CTEPH). Table 1 provides a list of the abstracts and presenters featured during the session [1][2][3][4][5][6][7] . Notably, some of these studies have already made it to publication in peer-reviewed journals [8][9][10][11] .…”
Section: Introductionmentioning
confidence: 99%
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