Mona Selej

Characteristics of Daily Walking Bouts as Valid and Reliable Indicators of Exercise Capacity in Pulmonary Arterial Hypertension: Insights From the Randomized Controlled Study With Selexipag (TRACE)

Rana Zia Ur Rehman, Federico Parisi, Noman Ashraf, Meenakshi Chatterjee et autres

ABSTRACT There is a need for objective, continuous and remote assessment of exercise capacity in patients with pulmonary arterial hypertension (PAH). Using data from the TRACE study, in which 108 adult patients with PAH were continuously monitored with a wrist‐worn accelerometer, we …

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Artificial intelligence-based echocardiography assessment to detect pulmonary hypertension

Mahan Salehi, Samer Alabed, Michael Sharkey, Ahmed Maiter et autres

Background Tricuspid regurgitation jet velocity (TRJV) on echocardiography is used for screening patients with suspected pulmonary hypertension (PH). Artificial intelligence (AI) tools, such as the US2.AI, have been developed for automated evaluation of echocardiograms and can yield measurements that aid PH detection. …

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SOPRANO: Macitentan in patients with pulmonary hypertension following left ventricular assist device implantation

Robert P. Frantz, Shashank Desai, Gregory A. Ewald, Verónica Franco et autres

Abstract Macitentan is a dual endothelin receptor antagonist (ERA) approved for treating pulmonary arterial hypertension (PAH). SOPRANO evaluated the efficacy and safety of macitentan versus placebo in pulmonary hypertension (PH) patients after left ventricular assist device (LVAD) implantation. SOPRANO was a phase …

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An electrocardiogram-based AI algorithm for early detection of pulmonary hypertension

Hilary M. DuBrock, Tyler E. Wagner, Katherine Carlson, Corinne Carpenter et autres

BACKGROUND: Early diagnosis of pulmonary hypertension (PH) is critical for effective treatment and management. We aimed to develop and externally validate an artificial intelligence algorithm that could serve as a PH screening tool, based on analysis of a standard 12-lead ECG. METHODS: …

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Optimising Thresholds for the Detection of Pulmonary Hypertension (PH) and Pre-capillary PH Using Automatic Measurement of TRJV on Echocardiography

Mahan Salehi, Samer Alabed, Michael Sharkey, Ahmed Maiter et autres

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A Transthoracic Echocardiography (TTE) Based PH Detection Model Using View Agnostic Classifier

Pablo F. Damasceno, Shreyas Fadnavis, Nastaran Emaminejad, A. Ulloa Cerna et autres

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Diagnostic Accuracy of Automatic Tricuspid Regurgitation Jet Velocity for Detecting Pulmonary Hypertension

Mahan Salehi, Samer Alabed, Michael Sharkey, Ahmed Maiter et autres

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EchoFM: A View-Independent Echocardiogram Model for the Detection of Pulmonary Hypertension

Shreyas Fadnavis, Chaitanya Parmar, Nastaran Emaminejad, Alvaro Ulloa Cerna et autres

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Timely PAH Identification in Adults With Repaired Congenital Heart Disease? The ACHD-QuERI Registry Insights

Michael J. Landzberg, Curt J. Daniels, Paul R. Forfia, Vallerie V. McLaughlin et autres

Background: The Quality Enhancement Research Initiative (QuERI) in adults with congenital heart disease (ACHD) was developed to improve detection of pulmonary arterial hypertension (PAH) after repair of systemic-to-pulmonary arterial shunt lesions. Objectives: This study sought to standardize use of accepted criteria for …

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A claims‐based, machine‐learning algorithm to identify patients with pulmonary arterial hypertension

Bethany Hyde, Carly J. Paoli, Sumeet Panjabi, K. Bettencourt et autres

Many patients with pulmonary arterial hypertension (PAH) experience substantial delays in diagnosis, which is associated with worse outcomes and higher costs. Tools for diagnosing PAH sooner may lead to earlier treatment, which may delay disease progression and adverse outcomes including hospitalization and …

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Derivation of a Risk Score (REVEAL-ECHO) Based on Echocardiographic Parameters of Patients With Pulmonary Arterial Hypertension

Karim El‐Kersh, Carol Zhao, Gregory Elliott, Harrison W. Farber et autres

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Smoking history and pulmonary arterial hypertension: Demographics, onset, and outcomes

Adaani Frost, Carol Zhao, Harrison W. Farber, Raymond L. Benza et autres

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