Prognostic and Clinical Value of Cluster Analysis in Idiopathic Pleuroparenchymal Fibroelastosis Phenotypes.
Yutaro NakamuraKazutaka MoriYasunori EnomotoMasato KonoHiromitsu SumikawaTakeshi JohkohThomas V ColbyHideki YasuiHironao HozumiMasato KarayamaYuzo SuzukiKazuki FuruhashiTomoyuki FujisawaNoriyuki EnomotoNaoki InuiYusuke KaidaKoshi YokomuraNaoki KoshimizuMikio ToyoshimaShiro ImokawaTakashi YamadaToshihiro ShiraiHidenori NakamuraHiroshi HayakawaTakafumi SudaPublished in: Journal of clinical medicine (2021)
Idiopathic pleuroparenchymal fibroelastosis (PPFE) is a distinctive interstitial pneumonia with upper lobe predominance that shows unique morphological features among idiopathic interstitial pneumonias (IIPs). Affected patients have a variety of clinical presentations with heterogeneous clinical courses. Cluster analysis is a valuable tool for identifying distinct clinical phenotypes under heterogeneous conditions. This study aimed to identify the phenotypes of patients with idiopathic PPFE. Using cluster analysis, novel PPFE phenotypes were identified among subjects from our multicenter cohort, and outcomes were stratified according to phenotypic clusters. Among the subjects with baseline data (N = 84), four clusters were identified. Cluster 1 included younger male subjects with coexisting non-UIP-like patterns. Cluster 2 included elderly female nonsmokers with low body mass index (BMI). Cluster 3 included elderly male smokers with a coexisting IP-like pattern. Cluster 4 included younger male smokers without lower lobe lesions. Patients in cluster 3 had significantly worse survival outcomes than those in clusters 1, 2, and 4 (p < 0.001, p = 0.0041, and p = 0.0155, respectively). Among idiopathic PPFE patients, cluster analysis using baseline characteristics identified four distinct clinical phenotypes that might predict survival outcomes.