CHU Pitié-Salpêtrière, Institut de Cardiologie, 47/83 Boulevard de l’Hôpital, Paris, France.
Circ Heart Fail. 2011 Jan;4(1):27-35. doi: 10.1161/CIRCHEARTFAILURE.109.932996. Epub 2010 Nov 10.
BACKGROUND: The determinants of prognosis in patients with heart failure and preserved ejection fraction (HF-PEF) are poorly documented. METHODS AND RESULTS: We evaluated data from 4128 patients in the I-PRESERVE trial (Irbesartan in Heart Failure with Preserved Ejection Fraction Study). Multivariable Cox regression models were developed using 58 baseline demographic, clinical, and biological variables to model the primary outcome of all-cause mortality or cardiovascular hospitalization (1505 events), all-cause mortality (881 events), and HF death or hospitalization (716 events). Log N-terminal pro-B-type natriuretic peptide, age, diabetes mellitus, and previous hospitalization for HF were the most powerful factors associated with the primary outcome and with the HF composite. For all-cause mortality, log N-terminal pro-B-type natriuretic peptide, age, diabetes mellitus, and left ventricular EF were the strongest independent factors. Other independent factors associated with poor outcome included quality of life, a history of chronic obstructive lung disease, log neutrophil count, heart rate, and estimated glomerular filtration rate. The models accurately stratified the actual 3-year rate of outcomes from 8.1% to 59.9% (primary outcome) 2.7% to 36.5% (all-cause mortality), and 2.1% to 38.9% (HF composite) for the lowest to highest septiles of predicted risks. CONCLUSIONS: In a large sample of elderly patients with HF and preserved EF enrolled in I-Preserve, simple clinical, demographic, and biological variables were associated with outcome and identified subgroups at very high and very low risk of events.
背景:射血分数保留的心衰(HF-PEF)患者的预后决定因素记录不佳。
方法和结果:我们评估了 I-PRESERVE 试验(HF-PEF 中应用厄贝沙坦试验)中 4128 例患者的数据。使用 58 个基线人口统计学、临床和生物学变量的多变量 Cox 回归模型,对全因死亡率或心血管住院(1505 例事件)、全因死亡率(881 例事件)和 HF 死亡或住院(716 例事件)的主要结局进行建模。NT-proBNP、年龄、糖尿病和 HF 住院史是与主要结局和 HF 复合结局最相关的最强因素。对于全因死亡率,NT-proBNP、年龄、糖尿病和左心室 EF 是最强的独立因素。其他与预后不良相关的独立因素包括生活质量、慢性阻塞性肺疾病病史、中性粒细胞计数、心率和估计肾小球滤过率。这些模型准确地将实际 3 年结局发生率从 8.1%分层至 59.9%(主要结局)、2.7%至 36.5%(全因死亡率)和 2.1%至 38.9%(HF 复合结局),预测风险最低至最高七分位数。
结论:在 I-Preserve 中,大量年龄较大的 HF-PEF 患者的简单临床、人口统计学和生物学变量与结局相关,并确定了事件风险极高和极低的亚组。
Front Cardiovasc Med. 2025-6-26