Shinya Ikeda, Yugo Yamashita, Takeshi Morimoto, Ryuki Chatani, Kazuhisa Kaneda, Yuji Nishimoto, Nobutaka Ikeda, Yohei Kobayashi, Satoshi Ikeda, Kitae Kim, Moriaki Inoko, Toru Takase, Shuhei Tsuji, Maki Oi, Takuma Takada, Kazunori Otsui, Jiro Sakamoto, Yoshito Ogihara, Takeshi Inoue, Shunsuke Usami, Po-Min Chen, Kiyonori Togi, Norimichi Koitabashi, Seiichi Hiramori, Kosuke Doi, Hiroshi Mabuchi, Yoshiaki Tsuyuki, Koichiro Murata, Kensuke Takabayashi, Hisato Nakai, Daisuke Sueta, Wataru Shioyama, Tomohiro Dohke, Ryusuke Nishikawa, Koh Ono, Takeshi Kimura
BACKGROUND: Patients with unprovoked venous thromboembolisms (VTEs) can be sub-classified based on the different phenotypes using a latent class analysis (LCA), which might be useful for selecting individual management strategies. METHODS: In the COMMAND VTE Registry-2 database enrolling 5197 VTE patients, the current derivation cohort consisted of 1556 patients with unprovoked VTEs. We conducted clustering with an LCA, and the patients were classified into subgroups with the highest probability...
April 19, 2024: Thrombosis Research