ArticlePulmonary circulation2025
An Unsupervised Approach to Derive Right Ventricular Pressure-Volume Loop Phenotypes in Pulmonary Hypertension.
Nikita Sivakumar, Cindy Zhang, Connie Chang-Chien, Pan Gu, Yikun Li, Yi Yang, Darin Rosen, Tijana Tuhy, Ilton M Cubero Salazar, Matthew Kauffman and 6 more
Abstract read
In one paragraphArticle in Pulmonary circulation, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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1 · What the graph read from itWhat it found
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4 · The recordCorrections and comments
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5 · Who and what moneyAuthors and funding
16 authors.
Nikita SivakumarInstitute for Computational Medicine Johns Hopkins University Baltimore Maryland USA.ORCID 0000-0002-5140-6188 Cindy ZhangInstitute for Computational Medicine Johns Hopkins University Baltimore Maryland USA.
Connie Chang-ChienInstitute for Computational Medicine Johns Hopkins University Baltimore Maryland USA.
Pan GuInstitute for Computational Medicine Johns Hopkins University Baltimore Maryland USA.
Yikun LiInstitute for Computational Medicine Johns Hopkins University Baltimore Maryland USA.
Yi YangInstitute for Computational Medicine Johns Hopkins University Baltimore Maryland USA.
Ilton M Cubero SalazarDivision of Cardiology Johns Hopkins University School of Medicine Baltimore Maryland USA.
Matthew KauffmanDivision of Pulmonary and Critical Care Medicine Baltimore Maryland USA.
Rachel L DamicoDivision of Pulmonary and Critical Care Medicine Baltimore Maryland USA.
Casey Overby TaylorInstitute for Computational Medicine Johns Hopkins University Baltimore Maryland USA.
Joseph L GreensteinInstitute for Computational Medicine Johns Hopkins University Baltimore Maryland USA.
Steven HsuDivision of Cardiology Johns Hopkins University School of Medicine Baltimore Maryland USA.
Paul M HassounDivision of Pulmonary and Critical Care Medicine Baltimore Maryland USA.
Funding
PATHOPHYSIOLOGY OF MYOCARDIAL DISEASEST32HL007227 · NHLBI · JOHNS HOPKINS UNIVERSITY · PI Chulan Kwon, WENDY S POST · 1985 to 2026
$21.2MBIOMEDICAL ENGINEERING TRAINING PROGRAMT32GM007057 · NIGMS · JOHNS HOPKINS UNIVERSITY · PI KANOLD, PATRICK O, KARCHIN, RACHEL · 1985 to 2023
$10.4MMechanisms of Right Ventricular Dysfunction in Scleroderma-associated PAHR01HL114910 · NHLBI · JOHNS HOPKINS UNIVERSITY · PI HASSOUN, PAUL M. · 2012 to 2023
$6.2MMechanisms and treatment of right ventricular sarcomere dysfunction in scleroderma-associated pulmonary arterial hypertensionK23HL146889 · NHLBI · JOHNS HOPKINS UNIVERSITY · PI HSU, STEVEN · 2019 to 2023
$886kThe role of xanthine oxidoreductase activity and altered metabolism in scleroderma-associated pulmonary arterial hypertensionK23HL153781 · NHLBI · JOHNS HOPKINS UNIVERSITY · PI SIMPSON, CATHERINE · 2020 to 2024
$883kIdentifying Clinical Markers of Right Ventricular Adaptation to Improve Survival Predictions in Pulmonary Arterial HypertensionF32HL176077 · NHLBI · JOHNS HOPKINS UNIVERSITY · PI ROSEN, DARIN · 2024 to 2025
$194kNHLBI NIH HHS F32 HL176077NHLBI NIH HHS K23 HL146889NHLBI NIH HHS K23 HL153781NHLBI NIH HHS L30 HL165545NHLBI NIH HHS R01 HL114910NHLBI NIH HHS T32 HL007227NIGMS NIH HHS T32 GM007057
6 · The paper itselfAbstract
Although right ventricle (RV) dysfunction drives clinical worsening in pulmonary hypertension (PH), information about RV function has not been well integrated in PH risk assessment. The gold standard for assessing RV function and ventriculo-arterial coupling is the construction of multi-beat pressure-volume (PV) loops. PV loops are technically challenging to acquire and not feasible for routine clinical use. Therefore, we aimed to map standard clinically available measurements to emergent PV loop phenotypes. One hundred and one patients with suspected PH underwent right heart catheterization (RHC) with exercise, multi-beat PV loop measurement, and same-day cardiac magnetic resonance imaging (CMR). We applied unsupervised
Indexed as
cardiac resonance imagingright heart catheterizationright ventricular‐pulmonary arterial couplingunsupervised clustering
Identifiers
PMID39990646
PMCPMC11842459
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