预测心源性休克患者植入 Impella 后的存活率:J-PVAD 风险评分

IF 16.9 1区 医学 Q1 CARDIAC & CARDIOVASCULAR SYSTEMS
Toru Kondo, Tomo Yoshizumi, Ryota Morimoto, Takahiro Imaizumi, Shingo Kazama, Hiroaki Hiraiwa, Takahiro Okumura, Toyoaki Murohara, Masato Mutsuga
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引用次数: 0

摘要

Impella已成为心源性休克(CS)患者接受机械循环支持的一种新选择;然而,目前还缺乏Impella术后患者的预后模型。我们的目的是找出预测需要使用 Impella 的 CS 患者院内死亡率的因素,并建立一个新的风险预测模型。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Predicting survival after Impella implantation in patients with cardiogenic shock: The J-PVAD risk score

Predicting survival after Impella implantation in patients with cardiogenic shock: The J-PVAD risk score
Impella has become a new option for mechanical circulatory support in patients with cardiogenic shock (CS); however, prognostic models for patients after Impella are lacking. We aimed to identify the factors that predict in-hospital mortality in patients with CS requiring Impella and develop a new risk prediction model.
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来源期刊
European Journal of Heart Failure
European Journal of Heart Failure 医学-心血管系统
CiteScore
27.30
自引率
11.50%
发文量
365
审稿时长
1 months
期刊介绍: European Journal of Heart Failure is an international journal dedicated to advancing knowledge in the field of heart failure management. The journal publishes reviews and editorials aimed at improving understanding, prevention, investigation, and treatment of heart failure. It covers various disciplines such as molecular and cellular biology, pathology, physiology, electrophysiology, pharmacology, clinical sciences, social sciences, and population sciences. The journal welcomes submissions of manuscripts on basic, clinical, and population sciences, as well as original contributions on nursing, care of the elderly, primary care, health economics, and other related specialist fields. It is published monthly and has a readership that includes cardiologists, emergency room physicians, intensivists, internists, general physicians, cardiac nurses, diabetologists, epidemiologists, basic scientists focusing on cardiovascular research, and those working in rehabilitation. The journal is abstracted and indexed in various databases such as Academic Search, Embase, MEDLINE/PubMed, and Science Citation Index.
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