A Risk Prediction Model in Asymptomatic Patients with Severe Aortic Stenosis under Conservative Management: CURRENT-AS risk score

Autor: Minamino-Muta, Eri, Kato, Takao, Morimoto, Takeshi, Taniguchi, Tomohiko, Ando, Kenji, Kanamori, Norio, Murata, Koichiro, Kitai, Takeshi, Kawase, Yuichi, Miyake, Makoto, Izumi, Chisato, Mitsuoka, Hirokazu, Kato, Masashi, Hirano, Yutaka, Matsuda, Shintaro, Nagao, Kazuya, Murakami, Tomoyuki, Takeuchi, Yasuyo, Yamane, Keiichiro, Toyofuku, Mamoru, Ishii, Mitsuru, Inoko, Moriaki, Ikeda, Tomoyuki, Ishii, Katsuhisa, Hotta, Kozo, Jinnai, Toshikazu, Kato, Yoshihiro, Inuzuka, Yasutaka, Maeda, Chiyo, Morikami, Yuko, Saito, Naritatsu, Minatoya, Kenji, Kimura, Takeshi
Jazyk: angličtina
Rok vydání: 2020
Předmět:
Zdroj: European Heart Journal - Quality of Care and Clinical Outcomes. 6(2):166-174
ISSN: 2058-5225
Popis: Aims: Early aortic valve replacement (AVR) might be beneficial in selected high-risk asymptomatic patients with severe aortic stenosis (AS), considering their poor prognosis when managed conservatively. This study aimed to develop and validate a clinical scoring system to predict AS-related events within 1 year after diagnosis in asymptomatic severe AS patients. Methods and results: We analysed 1274 asymptomatic severe AS patients derived from a retrospective multicentre registry enrolling consecutive patients with severe AS in Japan (CURRENT AS registry), who were managed conservatively and completed 1-year follow-up without AVR. From a randomly assigned derivation set (N = 849), we developed CURRENT AS risk score for the AS-related event (a composite of AS-related death and heart failure hospitalization) within 1 year using a multivariable logistic regression model. The risk score comprised independent risk predictors including left ventricular ejection fraction
Databáze: OpenAIRE