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Background: Health-related quality of life (HRQOL) is frequently impaired in pulmonary arterial hypertension. However, little is known about HRQOL in other forms of pulmonary hypertension (PH)., Research Question: Does HRQOL vary across groups of the World Symposium on Pulmonary Hypertension (WSPH) classification system?, Study Design and Methods: This cross-sectional study included patients with PH from the Pulmonary Vascular Disease Phenomics (PVDOMICS) cohort study. HRQOL was assessed by using emPHasis-10 (e-10), the 36-item Medical Outcomes Study Short Form survey (physical component score [PCS] and mental component score), and the Minnesota Living with Heart Failure Questionnaire. Pearson correlations between HRQOL and demographic, physiologic, and imaging characteristics within each WSPH group were tested. Multivariable linear regressions compared HRQOL across WSPH groups, adjusting for demographic characteristics, disease prevalence, functional class, and hemodynamics. Cox proportional hazards models were used to assess associations between HRQOL and survival across WSPH groups., Results: Among 691 patients with PH, HRQOL correlated with functional class and 6-min walk distance but not hemodynamics. HRQOL was severely depressed across WSPH groups for all measures except the 36-item Medical Outcomes Study Short Form survey mental component score. Compared with Group 1 participants, Group 2 participants had significantly worse HRQOL (e-10 score, 29 vs 24 [P = .001]; PCS, 32.9 ± 8 vs 38.4 ± 10 [P < .0001]; and Minnesota Living with Heart Failure Questionnaire score, 50 vs 38 [P = .003]). Group 3 participants similarly had a worse e-10 score (31 vs 24; P < .0001) and PCS (33.3 ± 9 vs 38.4 ± 10; P < .0001) compared with Group 1 participants, which persisted in multivariable models (P < .05). HRQOL was associated in adjusted models with survival across Groups 1, 2, and 3., Interpretation: HRQOL was depressed in PH and particularly in Groups 2 and 3 despite less severe hemodynamics. HRQOL is associated with functional capacity, but the severity of hemodynamic disease poorly estimates the impact of PH on patients' lives. Further studies are needed to better identify predictors and treatments to improve HRQOL across the spectrum of PH., Competing Interests: Financial/Nonfinancial Disclosures The authors have reported to CHEST the following: H. M. D. has received grant funding from Bayer Pharmaceuticals, has served on advisory boards for Janssen Pharmaceuticals and has received consulting fees from Janssen Pharmaceuticals. N. S. H. serves on a clinical trial steering committee for Aerovate, advisory board for Gossamer, DSMB for Merch, and consultant for Liquidia and United Therapeutics. R.M. has received an honorarium from the American Academy of Sleep Medicine; funds for service on the American Board of Internal Medicine and as associate editor of the American Journal of Respiratory and Critical Care Medicine; has received National Institutes of Health funding; and has received royalties from UpToDate. A. R. H. has served as a consultant for Bayer, GossamerBio, Janssen, Merck, Tenax, and United Therapeutics. She owns stock in Tenax. P. M. H. has served on a steering committee for Merck and as consultant ARIA-CVS. S. C. M. has served as a consultant for Acceleron, Janssen, Merck, and United Therapeutics. None declared (A. B., A. B. L., E. M. H., M. S. J., J. A. L., M. K. R., S. C. E., E. B. R., R. P. F., F. P. R., G. J. B.)., (Copyright © 2024 American College of Chest Physicians. Published by Elsevier Inc. All rights reserved.)

Background: Quantifying right ventricular (RV) function is important to describe the pathophysiology of in pulmonary hypertension (PH). Current phenotyping strategies in PH rely on few invasive hemodynamic parameters to quantify RV dysfunction severity. The aim of this study was to identify novel RV phenotypes using unsupervised clustering methods on advanced hemodynamic features of RV function., Methods: Participants were identified from the University of Arizona Pulmonary Hypertension Registry (n = 190). RV-pulmonary artery coupling (Ees/Ea), RV systolic (Ees), and diastolic function (Eed) were quantified from stored RV pressure waveforms. Consensus clustering analysis with bootstrapping was used to identify the optimal clustering method. Pearson correlation analysis was used to reduce collinearity between variables. RV cluster subphenotypes were characterized using clinical data and compared to pulmonary vascular resistance (PVR) quintiles., Results: Five distinct RV clusters (C1-C5) with distinct RV subphenotypes were identified using k-medoids with a Pearson distance matrix. Clusters 1 and 2 both have low diastolic stiffness (Eed) and afterload (Ea) but RV-PA coupling (Ees/Ea) is decreased in C2. Intermediate cluster (C3) has a similar Ees/Ea as C2 but with higher PA pressure and afterload. Clusters C4 and C5 have increased Eed and Ea but C5 has a significant decrease in Ees/Ea. Cardiac output was high in C3 distinct from the other clusters. In the PVR quintiles, contractility increased and stroke volume decreased as a function of increased afterload. World Symposium PH classifications were distributed across clusters and PVR quintiles., Conclusions: RV-centric phenotyping offers an opportunity for a more precise-medicine-based management approach., (Copyright © 2024 International Society for the Heart and Lung Transplantation. Published by Elsevier Inc. All rights reserved.)

Background: Multiparametric risk assessment is used in pulmonary arterial hypertension (PAH) to target therapy. However, this strategy is imperfect because most patients remain at intermediate or high risk after initial treatment, with low risk being the goal. Metrics of right ventricular (RV) adaptation are promising tools that may help refine our therapeutic strategy., Research Question: Does RV adaptation predict therapeutic response over time?, Study Design and Methods: We evaluated 52 incident treatment-naive patients with advanced PAH by catheterization and cardiac imaging longitudinally at baseline, follow-up 1 (∼3 months), and follow-up 2 (∼18 months). All patients received goal-directed therapy with parenteral treprostinil and/or combination therapy with treatment escalation if functional class I or II was not achieved. On the basis of their therapeutic response, patients were evaluated at follow-up 1 as nonresponders (died) or as responders, and again at follow-up 2 as super-responders (low risk) or partial responders (high/intermediate risk). Multiparametric risk was based on a simplified European Respiratory Society/European Society of Cardiology guideline score. RV adaptation was evaluated with the single-beat coupling ratio (Ees/Ea) and diastolic function with diastolic elastance (Eed). Data are expressed as mean ± SD or as OR (95% CI)., Results: Nine patients (17%) were nonresponders. PAH-directed therapy improved the European Respiratory Society low-risk score from 1 (2%) at baseline to 23 (55%) at follow-up 2. Ees/Ea at presentation was nonsignificantly higher in responders (0.9 ± 0.4) vs nonresponders (0.6 ± 0.4; P = .09) but could not be used to predict super-responder status at follow-up 2 (OR, 1.40 [95% CI, 0.28-7.0]; P = .84). Baseline RV ejection fraction and change in Eed were successfully used to predict super-responder status at follow-up 2 (OR, 1.15 [95% CI, 1.0-1.27]; P = .009 and OR, 0.29 [95% CI, 0.86-0.96]; P = .04, respectively)., Interpretation: In patients with advanced PAH, RV-pulmonary arterial coupling could not discriminate irreversible RV failure (nonresponders) at presentation but showed a late trend to improvement by follow-up 2. Early change in Eed and baseline RV ejection fraction were the best predictors of therapeutic response., (Copyright © 2021. Published by Elsevier Inc.)