Pruett Amanda E, Lee Amanda K, Patterson J Herbert, Schwartz Todd A, Glotzer Jana M, Adams Kirkwood F
Curr Cardiol Rev. 2015;11(1):80-9. doi: 10.2174/1573403x09666131117123525.
Optimizing management of patients with heart failure remains quite challenging despite many significant advances in drug and device therapy for this syndrome. Although a large body of evidence from robust clinical trials supports multiple therapies, utilization of these well-established treatments remains inconsistent and outcomes suboptimal in "real-world" patients with heart failure. Disease management programs may be effective, but are difficult to implement due to cost and logistical issues. Another approach to optimizing therapy is to utilize biomarkers to guide therapeutic choices. Natriuretic peptides provide additional information of significant clinical value in the diagnosis and estimation of risk inpatients with heart failure. Ongoing research suggests a potential important added role for natriuretic peptides in heart failure. Guiding therapy based on serial changes in these biomarkers may be an effective strategy to optimize treatment and achieve better outcomes in this syndrome. Initial, innovative, proof-of-concept studies have provided encouraging results and important insights into key aspects of this strategy, but well designed, large-scale, multicenter, randomized, outcome trials are needed to definitively establish this novel approach to management. Given the immense and growing public health burden of heart failure, identification of cost-effective ways to decrease the morbidity and mortality due to this syndrome is critical.
尽管针对心力衰竭综合征的药物和器械治疗取得了许多重大进展,但优化心力衰竭患者的管理仍然颇具挑战性。虽然大量来自可靠临床试验的证据支持多种治疗方法,但在“现实世界”的心力衰竭患者中,这些成熟治疗方法的应用仍然不一致,且治疗效果欠佳。疾病管理项目可能有效,但由于成本和后勤问题难以实施。另一种优化治疗的方法是利用生物标志物来指导治疗选择。利钠肽在心力衰竭患者的诊断和风险评估中提供了具有重要临床价值的额外信息。正在进行的研究表明,利钠肽在心力衰竭中可能具有重要的附加作用。基于这些生物标志物的系列变化来指导治疗可能是优化治疗并在该综合征中取得更好疗效的有效策略。最初的创新性概念验证研究已提供了令人鼓舞的结果,并对该策略的关键方面有了重要见解,但需要精心设计的大规模、多中心、随机、结局试验来最终确立这种新型管理方法。鉴于心力衰竭巨大且不断增加的公共卫生负担,确定具有成本效益的方法以降低该综合征导致的发病率和死亡率至关重要。