A new diagnostic prediction model for infective endocarditis based on the 2023 duke–international society for cardiovascular infectious disease criteria: a multicenter observational study

Abstract Background Infective endocarditis (IE) remains a diagnostically challenging disease with diverse symptoms. Whether IE is suspected frequently depends on clinical judgement. A reliable model to estimate the likelihood of IE at presentation across clinical departments is needed; however, no s...

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主要な著者:	Shun Yamashita, Ryosuke Osako, Takanori Yamaguchi, Yoshinori Tokushima, Yukinori Harada, Taiju Miyagami, Yosuke Sasaki, Yasutomo Oda, Masaki Tago
フォーマット:	Artigo
言語:	Inglês
出版事項:	BMC 2026-03-01
シリーズ:	BMC Cardiovascular Disorders
主題:	Infective endocarditis A diagnostic prediction model Machine learning 2023 Duke-ISCVID criteria Objective variables
オンライン･アクセス:	https://doi.org/10.1186/s12872-026-05742-8
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