Matthews Jennifer Cowger, Dardas Todd F, Aaronson Keith D
Division of Cardiovascular Medicine, University of Michigan Medical Center, Women's L3623, Ann Arbor, MI 48109-0271, USA.
Curr Heart Fail Rep. 2007 Jun;4(2):103-9. doi: 10.1007/s11897-007-0008-3.
Heart failure (HF) presents with a wide spectrum of disease severity and with a broad risk of associated morbidity and mortality. Identification of individuals at high risk for HF death is important for assessment of candidacy for heart transplantation and mechanical circulatory assistance and, more broadly, for guiding pharmaceutical, surgical, or palliative interventions. In this article, we review and compare several of the HF risk prediction tools currently available, highlighting their clinical utilities and potential shortcomings. Risk prediction tools must be carefully selected, recognizing that their accuracy is likely to be greatest when used in patients most similar to those from whom the tool was developed. As HF is a dynamic condition, serial risk assessment at regular intervals and as patient clinical status changes is warranted, although clinical evidence to support this practice is limited.
心力衰竭（HF）具有广泛的疾病严重程度范围以及相关发病和死亡的广泛风险。识别HF死亡高风险个体对于评估心脏移植和机械循环辅助的候选资格很重要，更广泛地说，对于指导药物、手术或姑息性干预也很重要。在本文中，我们回顾并比较了目前可用的几种HF风险预测工具，突出了它们的临床实用性和潜在缺点。必须谨慎选择风险预测工具，要认识到当在与开发该工具的患者最相似的患者中使用时，其准确性可能最高。由于HF是一种动态病症，尽管支持这种做法的临床证据有限，但定期以及随着患者临床状态变化进行连续风险评估是必要的。
