2020
DOI: 10.1016/j.healun.2019.12.012
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Clinical implications of idiopathic pulmonary arterial hypertension phenotypes defined by cluster analysis

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Cited by 37 publications
(23 citation statements)
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“…On the other hand, previous studies have suggested that the clinical response to targeted PAH drugs can be comparable, irrespective of the number of comorbidities [ 9 , 10 , 43 ]. Recent studies using cluster analyses have described different IPAH phenotypes based on age, the presence of cardiovascular risk factors and comorbidities and selected echocardiographic, spiroergometric and haemodynamic findings [ 44 ], as done previously in patients with pulmonary heart disease [ 45 ]. These data suggest that so-called type II pulmonary heart disease, with severe pulmonary vascular involvement and right ventricular dysfunction, is comparable to PAH.…”
Section: Discussionmentioning
confidence: 99%
“…On the other hand, previous studies have suggested that the clinical response to targeted PAH drugs can be comparable, irrespective of the number of comorbidities [ 9 , 10 , 43 ]. Recent studies using cluster analyses have described different IPAH phenotypes based on age, the presence of cardiovascular risk factors and comorbidities and selected echocardiographic, spiroergometric and haemodynamic findings [ 44 ], as done previously in patients with pulmonary heart disease [ 45 ]. These data suggest that so-called type II pulmonary heart disease, with severe pulmonary vascular involvement and right ventricular dysfunction, is comparable to PAH.…”
Section: Discussionmentioning
confidence: 99%
“…However, only 13 patients were included between 2012 and 2013, when the access to anti-fibrotic treatment was limited and the awareness of disease lower. Cluster analysis should ideally be performed on large multinational cohorts of more than 1,000 patients for identifying as many patient profiles as possible [12,13]. However, the highlighted disease and patient features at diagnosis associated with disease outcome by using this methodology that integrates all potential risk factors have revealed at least two major points: diagnostic delay and cardiovascular-metabolic comorbidities.…”
Section: Discussionmentioning
confidence: 99%
“…However, some biological disorders may be a common trigger of different comorbidities in the same patient, such as metabolic syndrome or telomeric disorders [3,9]. Cluster analysis has become a useful resource to identify homogeneous patients with similar clinical characteristics, prognosis and healthcare requirements [12,13]. Additionally, the integrated study of respiratory diseases through clusters [14] helps identify hidden and unsuspected associations between different diseases and patient features, which could generate new hypotheses to be later explored in controlled studies.…”
Section: Introductionmentioning
confidence: 99%
“…Moreover, most patients end up in the intermediate-risk category, characterized by a heterogeneous population with different outcomes, representing a missed opportunity for treatment optimization and personalized medicine [8].…”
Section: Strengths and Weaknesses Of Current Risk Scoresmentioning
confidence: 99%