Clinic of Cardiovascular Diseases, University of Genoa, Genoa, Italy.
IRCCS Ospedale Policlinico San Martino Genoa - Italian Cardiovascular Network, Genoa, Italy.
Eur J Clin Invest. 2019 Feb;49(2):e13044. doi: 10.1111/eci.13044. Epub 2018 Nov 16.
Heart failure (HF) is a major public health problem and represents the only cardiac disease continuing to increase in prevalence, in particular among elderly patients. The frequent rehospitalizations have a negative impact on quality of life of patients with HF, constituting a substantial cost for patients and the health system. The aim of this review was to look into biochemical, echocardiographic and socioeconomical parameters as predictors of clinical outcomes and rehospitalizations.
This narrative review is based on the material searched for and obtained via PubMed from January 2000 up to March 2018. The search terms we used were as follows: "elderly, heart failure, cardiovascular" in combination with "biomarker, echocardiography and hospitalization."
This review analyses the potential predictive role of biochemical and echocardiographic and socioeconomical parameters on clinical outcomes (particularly cardiovascular) and hospital readmissions in patients with chronic HF. We focused on risk stratification of elderly patients with HF, who constitute a category of frail subjects at higher risk for readmission to hospital.
In elderly subjects with chronic HF, the risk stratification could benefit of a multiparametric approach combining biochemical, echocardiographic, demographic and socioeconomical parameters, thus ensuring a better quality of life and at the same time a better allocation of financial resources.
心力衰竭（HF）是一个主要的公共卫生问题，也是唯一一种患病率持续上升的心脏疾病，特别是在老年患者中。频繁的再住院对 HF 患者的生活质量产生负面影响，给患者和医疗系统带来了巨大的经济负担。本综述旨在探讨生化、超声心动图和社会经济学参数作为临床结局和再住院的预测指标。
本叙述性综述基于 2000 年 1 月至 2018 年 3 月期间在 PubMed 上搜索和获取的资料。我们使用的检索词如下：“老年人、心力衰竭、心血管”与“生物标志物、超声心动图和住院治疗”相结合。
本综述分析了生化、超声心动图和社会经济学参数对慢性心力衰竭患者临床结局（特别是心血管）和住院再入院的潜在预测作用。我们专注于心力衰竭老年患者的风险分层，他们是再入院风险较高的脆弱人群。
在患有慢性 HF 的老年患者中，风险分层可以受益于结合生化、超声心动图、人口统计学和社会经济学参数的多参数方法，从而确保更好的生活质量，同时更好地分配财政资源。
