Clinical implications of idiopathic pulmonary arterial hypertension phenotypes defined by cluster analysis

Roberto Badagliacca, Franz Rischard, Silvia Papa, Saad Kubba, Rebecca Vanderpool, Jason X.J. Yuan, Joe G.N. Garcia, Sophia Airhart, Roberto Poscia, Beatrice Pezzuto, Giovanna Manzi, Cristiano Miotti, Federico Luongo, Gianmarco Scoccia, Susanna Sciomer, Roberto Torre, Francesco Fedele, Carmine Dario Vizza

Research output: Contribution to journalArticle

1 Scopus citations

Abstract

BACKGROUND: >Despite advances in drug development, life expectancy in idiopathic pulmonary arterial hypertension (IPAH) remains unacceptable. Contemporary IPAH characterization is based on criteria that may not adequately capture disease heterogeneity and may be proposed as a possible explanation for why patient outcome is still unfavorable. The aim of this study was to apply cluster analysis to improve phenotyping of patients with IPAH and analyze long-term clinical outcome of derived clusters. METHODS: Patients with IPAH from 2 referral centers (n = 252) were evaluated with clinical, hemodynamic, and echocardiographic assessment and cardiopulmonary exercise test. Patients were classified according to cluster analysis and followed for clinical worsening occurrence. RESULTS: The cluster analysis identified 4 IPAH phenotypes. Cluster 1 was characterized by young patients, mild pulmonary hypertension (PH), mild right ventricular (RV) dilation and high oxygen (O2) pulse; Cluster 2 by severe PH and RV dilation and high O2 pulse; and Cluster 3 by male patients, severe PH and RV dilation, and low O2 pulse. Cluster 4 patients were older and overweight, with mild PH and RV dilation and low O2 pulse. After a mean follow-up of 995 ± 623 days, 123 (48.8%) patients had clinical worsening. Cluster 1 patients presented the best prognosis, whereas Cluster 3 had the highest rates of clinical worsening. Compared with Cluster 1, risk of clinical worsening ranged from 4.12 (confidence interval [CI] 1.43–11.92; p = 0.009) for Cluster 4 to 7.38 (CI 2.80–19.40) for Cluster 2 and 13.8 (CI 5.60–34.0; p = 0.0001) for Cluster 3. CONCLUSIONS: Cluster analysis of clinical variables identified 4 distinct phenotypes of IPAH. Our findings underscore the high degree of disease heterogeneity that exists within patients with IPAH and the need for advanced clinical testing to define phenotypes to improve treatment strategy decision-making. CONDENSED ABSTRACT Idiopathic pulmonary arterial hypertension (IPAH) characterization is based on criteria that may not adequately capture disease heterogeneity. The aim of this study was to apply cluster analysis to improve phenotyping of IPAH. Patients with IPAH (n = 252) were evaluated with clinical, hemodynamic, and echocardiographic assessment and cardiopulmonary exercise test. Within the umbrella category of IPAH, it was the combination of mean pulmonary arterial pressure, right ventricular size, and oxygen pulse that further stratified patients into novel IPAH phenotypes that significantly associate with clinical worsening. These findings underscore the need for novel multidimensional IPAH phenotyping for improved patient care and trial quality.

Original languageEnglish (US)
Pages (from-to)310-320
Number of pages11
JournalJournal of Heart and Lung Transplantation
Volume39
Issue number4
DOIs
StatePublished - Apr 2020

Keywords

  • cluster analysis
  • echocardiography
  • prognosis
  • pulmonary arterial hypertension
  • right ventricle
  • risk assessment

ASJC Scopus subject areas

  • Surgery
  • Pulmonary and Respiratory Medicine
  • Cardiology and Cardiovascular Medicine
  • Transplantation

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