Multivariable Cox regression model of predictors for MACE.
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posted on 2024-09-19, 17:41 authored by Tatsuro Yamazaki, Hideki Kitahara, Daichi Yamashita, Takanori Sato, Sakuramaru Suzuki, Takashi Hiraga, Tadahiro Matsumoto, Takahiro Kobayashi, Yuji Ohno, Junya Harada, Kenichi Fukushima, Tatsuhiko Asano, Naoki Ishio, Raita Uchiyama, Hirofumi Miyahara, Shinichi Okino, Masanori Sano, Nehiro Kuriyama, Masashi Yamamoto, Naoya Sakamoto, Junji Kanda, Yoshio KobayashiMultivariable Cox regression model of predictors for MACE.
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percutaneous coronary interventioncoronary artery diseasebody mass index002 ), although9 %, pxlink "> among3 %, pmajor bleeding eventspatients undergoing pcibmi ≥ 212 supxlink ">major bleeding3 kgclinical eventscardiovascular eventsaffects bleeding004 ),rank puseful indicatorunderwent pcisignificantly higherprospectively includedprimary endpointnace ),independent predictorgroup 2eluting stentsdiffer significantlycumulative rateatrial fibrillationantiplatelet agents720 patients54 ).41 ).2 groups180 patients15 institutions
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