Protein Biomarkers Identify Patients Unlikely to Benefit From Primary Prevention Implantable Cardioverter Defibrillators

Circulation-arrhythmia and Electrophysiology(2014)

引用 38|浏览20
暂无评分
摘要
Background— Primary prevention implantable cardioverter defibrillators (ICDs) reduce all-cause mortality, but the benefits are heterogeneous. Current risk stratification based on left ventricular ejection fraction has limited discrimination power. We hypothesize that biomarkers for inflammation, neurohumoral activation, and cardiac injury can predict appropriate shocks and all-cause mortality in patients with primary prevention ICDs. Methods and Results— The Prospective Observational Study of Implantable Cardioverter Defibrillators (PROSe-ICD) enrolled 1189 patients with systolic heart failure who underwent ICD implantation for primary prevention of sudden cardiac death. The primary end point was an ICD shock for adjudicated ventricular tachyarrhythmia. The secondary end point was all-cause mortality. After a median follow-up of 4.0 years, 137 subjects experienced an appropriate ICD shock and 343 participants died (incidence rates of 3.2 and 5.8 per 100 person-years, respectively). In multivariable-adjusted models, higher interleukin-6 levels increased the risk of appropriate ICD shocks. In contrast, C-reactive protein, interleukin-6, tumor necrosis factor-α receptor II, pro–brain natriuretic peptide (pro-BNP), and cardiac troponin T showed significant linear trends for increased risk of all-cause mortality across quartiles. A score combining these 5 biomarkers identified patients who were much more likely to die than to receive an appropriate shock from the ICD. Conclusions— An increase in serum biomarkers of inflammation, neurohumoral activation, and myocardial injury increased the risk for death but poorly predicted the likelihood of an ICD shock. These findings highlight the potential importance of serum-based biomarkers in identifying patients who are unlikely to benefit from primary prevention ICDs. Clinical Trial Registration— URL: clinicaltrials.gov ; Unique Identifier: NCT00733590.
更多
查看译文
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要