完整的患者评估包含对短期和长期预后的初始和周期性评估。然而只有人群数据能准确判断生存可能性,而并非个体数据。大量因素已用作预后指标,包含人口统计资料(年龄、性别、民族)、临床症状(NYHA分级)、共病(高血压、糖尿病、恶液质、贫血和肝肾功能障碍),以及客观临床参数(例如,射血分数、左心室大小、容量、质量和形状、运动能力,以及血清钠、去甲肾上腺素、肾素、B型利钠肽[BNP]、尿酸、血管张力素II、醛固酮、肿瘤坏死因子-α和内皮素的血清浓度水平)。这些变量的多变量分析有助于确定最意义的生存预测因子和建立有效的预测模型。[207]Lund LH, Aaronson KD, Mancini DM. Predicting survival in ambulatory patients with severe heart failure on beta-blocker therapy. Am J Cardiol. 2003;92:1350-1354.http://www.ncbi.nlm.nih.gov/pubmed/14636921?tool=bestpractice.com[208]Aaronson KD, Schwartz JS, Chen TM, et al. Development and prospective validation of a clinical index to predict survival in ambulatory patients referred for cardiac transplant evaluation. Circulation. 1997;95:2660-2667.http://www.ncbi.nlm.nih.gov/pubmed/9193435?tool=bestpractice.com[209]Levy WC, Mozaffarian D, Linker DT, et al. The Seattle Heart Failure Model: prediction of survival in heart failure. Circulation. 2006;113:1424-1433.http://circ.ahajournals.org/content/113/11/1424.fullhttp://www.ncbi.nlm.nih.gov/pubmed/16534009?tool=bestpractice.com[210]Lee DS, Austin PC, Rouleau JL, et al. Predicting mortality among patients hospitalized for heart failure: derivation and validation of a clinical model. JAMA. 2003;290:2581-2587.http://www.ncbi.nlm.nih.gov/pubmed/14625335?tool=bestpractice.com[211]Fonarow GC, Adams KF, Jr., Abraham WT, et al. Risk stratification for in-hospital mortality in acutely decompensated heart failure: classification and regression tree analysis. JAMA. 2005;293:572-580.http://www.ncbi.nlm.nih.gov/pubmed/15687312?tool=bestpractice.com[212]Brophy JM, Dagenais GR, McSherry F, et al. A multivariate model for predicting mortality in patients with heart failure and systolic dysfunction. Am J Med 2004;116:300-304.http://www.ncbi.nlm.nih.gov/pubmed/14984814?tool=bestpractice.com[213]Koelling TM, Joseph S, Aaronson KD. Heart failure survival score continues to predict clinical outcomes in patients with heart failure receiving beta-blockers. J Heart Lung Transplant. 2004;23:1414-1422.http://www.ncbi.nlm.nih.gov/pubmed/15607672?tool=bestpractice.com[214]Raphael CE, Whinnett ZI, Davies JE, et al. Quantifying the paradoxical effect of higher systolic blood pressure on mortality in chronic heart failure. Heart. 2009;95:56-62.http://www.ncbi.nlm.nih.gov/pubmed/18653573?tool=bestpractice.com 然而,所有现存用于预测死亡或需要紧急移植术的模型都有特点,限制了它们的应用。研究发现糖化血红蛋白也是一个引起心血管死亡、住院和死亡的独立进展性危险因素,即使是在非糖尿病患者上。[215]Gerstein HC, Swedberg K, Carlsson J, et al. The hemoglobin A1c level as a
progressive risk factor for cardiovascular death, hospitalization for heart
failure, or death in patients with chronic heart failure: an analysis of the
Candesartan in Heart failure: Assessment of Reduction in Mortality and Morbidity
(CHARM) program. Arch Intern Med. 2008;168:1699-1704.http://www.ncbi.nlm.nih.gov/pubmed/18695086?tool=bestpractice.com
最全面综合的预测模型是西雅图心力衰竭模型The Seattle Heart Failure Model该模型已应用于一个交互项目,使用西雅图心力衰竭评分评估心力衰竭患者平均1、2和5年的存活率以及评估个体患者中添加使用药物和/或设备的临床获益。[209]Levy WC, Mozaffarian D, Linker DT, et al. The Seattle Heart Failure Model: prediction of survival in heart failure. Circulation. 2006;113:1424-1433.http://circ.ahajournals.org/content/113/11/1424.fullhttp://www.ncbi.nlm.nih.gov/pubmed/16534009?tool=bestpractice.com
尽管采用标准药物疗法,有 NYHA IV 级持续症状的患者仍有 40-60% 的年死亡率风险,相比之下,NYHA I 级或 II 级患者的风险为 5-10%。[2]Jessup M, Abraham WT, Casey DE, et al. 2009 focused update: ACCF/AHA guidelines for the diagnosis and management of heart failure in adults: a report of the American College of Cardiology Foundation/American Heart Association Task Force on Practice Guidelines: developed in collaboration with the International Society for Heart and Lung Transplantation. Circulation. 2009;119:1997-2016.http://circ.ahajournals.org/cgi/content/full/119/14/1977http://www.ncbi.nlm.nih.gov/pubmed/19324967?tool=bestpractice.com