首页> 美国卫生研究院文献>Kardiochirurgia i Torakochirurgia Polska = Polish Journal of Cardio-Thoracic Surgery >The Model for End-Stage Liver Disease (MELD) can predict outcomes in ambulatory patients with advanced heart failure who have been referred for cardiac transplantation evaluation
【2h】

The Model for End-Stage Liver Disease (MELD) can predict outcomes in ambulatory patients with advanced heart failure who have been referred for cardiac transplantation evaluation

机译:终末期肝病模型(MELD)可以预测已被转介进行心脏移植评估的高级心衰门诊患者的结局

代理获取
本网站仅为用户提供外文OA文献查询和代理获取服务,本网站没有原文。下单后我们将采用程序或人工为您竭诚获取高质量的原文,但由于OA文献来源多样且变更频繁,仍可能出现获取不到、文献不完整或与标题不符等情况,如果获取不到我们将提供退款服务。请知悉。

摘要

Risk stratification in heart failure (HF) patients is an important element for management. There are several risk stratification models that can be used to predict the prognosis of patients with HF, such as Aaronson's scale, CVM-HF (CardioVascular Medicine Heart Failure), the Seattle Heart Failure Model (SHFM) and the Munich score. These models fail to adequately address the impact of multiorgan dysfunction on prognosis. The classical Model for End-Stage Liver Disease (MELD) score consists of: total bilirubin, INR (international normalized ratio) and creatinine level. There are some modifications of the MELD scale: MELD-XI, which excludes the INR score; the mod-MELD score, in which INR is replaced with albumin levels; and MELD-Na, which consists of the bilirubin and creatinine levels, INR ratio and the sodium level. Therefore, the MELD score systems are markers of multisystem dysfunction (renal, cardiac, hepatic). It is important that they are composed of routinely collected laboratory measures which are easy to use.
机译:心力衰竭(HF)患者的风险分层是管理的重要因素。有几种风险分层模型可用于预测HF患者的预后,例如Aaronson量表,CVM-HF(心血管心力衰竭),Seattle心力衰竭模型(SHFM)和Munich评分。这些模型不能充分解决多器官功能障碍对预后的影响。终末期肝病(MELD)评分的经典模型包括:总胆红素,INR(国际标准化比率)和肌酐水平。 MELD量表有一些修改:MELD-XI,不包括INR评分; mod-MELD评分,其中INR被白蛋白水平取代;和MELD-Na,由胆红素和肌酐水平,INR比和钠水平组成。因此,MELD评分系统是多系统功能障碍(肾脏,心脏,肝脏)的标志。重要的是,它们应由易于使用的常规收集的实验室措施组成。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
代理获取

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号