Diagnostic Testing for Pulmonary Vascular Disease. Risk Stratification

Exercise and hypoxia unmask pulmonary vascular disease and right ventricular dysfunction in a 10- to 12-week-old swine model of neonatal oxidative injury

Jarno J. Steenhorst, Alexander Hirsch, Annemarie Verzijl, Piotr Wielopolski, Daphne de Wijs-Meijler, Dirk J. Duncker, Irwin K. M. Reiss, Daphne MerkusUniversity Medical Center Rotterdam. University Clinic Munich. Munich Heart Alliance.Netherlands and Germany Journal of PhysiologyJ Physiol 2022; DOI: 10.1113/JP282906 AbstractPrematurely born young adults who experienced neonatal oxidative injury (NOI) of the lungs have increased incidence of […]

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ISHLT consensus statement: Perioperative management of patients with pulmonary hypertension and right heart failure undergoing surgery

Dana P. McGlothlin, John Granton, Walter Klepetko, Maurice Beghetti, Erika B. Rosenzweig, Paul A. Corris, Evelyn Horn, Manreet K. Kanwar, Karen McRae, Antonio Roman, Ryan Tedford, Roberto Badagliacca, Sonja Bartolome, Raymond Benza, Marco Caccamo, Rebecca Cogswell, Celine Dewachter, Laura Donahoe, Elie Fadel, Harrison W. Farber, Jeffrey Feinstein, Veronica Franco, Robert Frantz, Michael Gatzoulis, Choon Hwa

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NT-proBNP and Zlog-transformed NT-proBNP values predict extubation failure in critically ill neonates with pulmonary hypertension and ventricular dysfunction

Lukas Schroeder, Manuel Kuelshammer, Ramona Dolsheid-Pommerich, Stefan Holdenrieder, Andreas Mueller, Florian KipfmuellerUniversity Children’s Hospital Bonn. University Hospital Bonn. Technical University Munich.Germany Pediatric PulmonologyPediatr Pulmonol 2023; 58: 253-261DOI: 10.1002/ppul.26193 AbstractObjectives: Critically ill neonates with a history of pulmonary hypertension (PH) or ventricular dysfunction are at risk to experience an extubation failure (EF) after liberation from mechanical ventilation (MV).

NT-proBNP and Zlog-transformed NT-proBNP values predict extubation failure in critically ill neonates with pulmonary hypertension and ventricular dysfunction Read More »

Computational platform for doctor-artificial intelligence cooperation in pulmonary arterial hypertension prognostication: a pilot study

Vitaly O. Kheyfets, Andrew J. Sweatt, Mardi Gomberg-Maitland, D. Dunbar Ivy, Robin Condliffe, David G. Kiely, Allan Lawrie, Bradley A. Maron, Roham T. Zamanian, Kurt R. StenmarkUniversity of Colorado. Stanford University. George Washington University. University of Sheffield. Harvard University.United States and United Kingdom Canadian Respiratory Journal Open ResearchCRJ Open Res 2023; 9: DOI: 10.1183/23120541.00484-2022 AbstractBackground: Pulmonary arterial

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Risk stratification in adult and pediatric pulmonary arterial hypertension: A systematic review

Chantal Lokhorst, Sjoukje van der Werf, Rolf M. F. Berger, Johannes M. DouwesUniversity of Groningen, Beatrix Children’s Hospital and University Medical Center GroningenNetherlands Frontiers in Cardiovascular MedicineFront Cardiovasc Med 2022; 9: 1035453DOI: 10.3389/fcvm.2022.1035453 AbstractIntroduction: Currently, risk stratification is the cornerstone of determining treatment strategy for patients with pulmonary arterial hypertension (PAH). Since the 2015 European Society of

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