Wu Xi, Wu Mingxing, Huang Haobo, Liu Zhe, Huang He, Wang Lei
Department of Cardiology, Xiangtan Central Hospital (the affiliated hospital of Hunan University), Xiangtan, 411100, Hunan, People's Republic of China.
BMC Cardiovasc Disord. 2025 Jul 23;25(1):535. doi: 10.1186/s12872-025-04969-1.
BACKGROUND: Heart failure with preserved ejection fraction (HFpEF) is a common yet under-recognized complication following acute myocardial infarction (AMI), particularly after primary percutaneous coronary intervention (PCI). Early identification of at-risk patients remains a clinical challenge. METHODS: We retrospectively analyzed 458 first-episode AMI patients who underwent emergency PCI at a single center. Patients were stratified into HFpEF (n = 107) and non-heart failure (non-HF) (n = 351) groups based on the 2021 European Society of Cardiology diagnostic criteria. Clinical variables, laboratory markers, echocardiographic parameters, and coronary angiography findings were compared. Logistic regression identified independent predictors of HFpEF, and a predictive model-the Heart Failure with Preserved Ejection Fraction-Acute Myocardial Infarction Score (HFpEF-AMI Score)-was developed and evaluated. RESULTS: Among 458 first-episode AMI patients undergoing emergency PCI, 107 (23.4%) developed HFpEF during hospitalization. Multivariate logistic regression identified four independent predictors of HFpEF after PCI: elevated D-dimer (>184.3 ng/mL; odds ratio [OR] 1.626, 95% confidence interval [CI] 1.466-2.771, p < 0.001), peak N-terminal pro-B-type natriuretic peptide (NT-proBNP) (>2640.11 pg/mL; OR 3.391, 95% CI 2.030-5.273, p < 0.001), increased left ventricular mass index (LVMI) (>105.91 g/m²; OR 2.057, 95% CI 1.152-3.833, p = 0.012), and involvement of the left anterior descending artery (LAD) as the infarct-related artery (IRA) (OR 4.737, 95% CI 2.363-10.545, p < 0.001). Using receiver operating characteristic (ROC) analysis, the HFpEF-AMI Score integrating these four predictors demonstrated excellent discriminatory performance, with an area under the curve (AUC) of 0.882 (95% CI: 0.849-0.910). At an optimal cut-off logit(P) ≥ 0.322, the model achieved a sensitivity of 74.8% and specificity of 86.6%. During 2-year follow-up, HFpEF patients had significantly higher rates of major adverse cardiovascular and cerebrovascular events (MACCE: 19.6% vs. 6.0%) and heart failure-related rehospitalizations (18.7% vs. 4.3%; both p < 0.001). CONCLUSION: The HFpEF-AMI Score is a novel and clinically applicable tool for early identification of patients at risk of developing HFpEF after AMI. Incorporating routine laboratory and angiographic parameters, this score may assist in risk stratification and long-term prognostic assessment.
背景:射血分数保留的心力衰竭(HFpEF)是急性心肌梗死(AMI)后常见但未得到充分认识的并发症,尤其是在直接经皮冠状动脉介入治疗(PCI)后。早期识别高危患者仍然是一项临床挑战。 方法:我们回顾性分析了在单一中心接受急诊PCI的458例首发AMI患者。根据2021年欧洲心脏病学会诊断标准,将患者分为HFpEF组(n = 107)和非心力衰竭(非HF)组(n = 351)。比较了临床变量、实验室指标、超声心动图参数和冠状动脉造影结果。逻辑回归确定了HFpEF的独立预测因素,并开发和评估了一个预测模型——射血分数保留的心力衰竭-急性心肌梗死评分(HFpEF-AMI评分)。 结果:在458例接受急诊PCI的首发AMI患者中,107例(23.4%)在住院期间发生了HFpEF。多因素逻辑回归确定了PCI后HFpEF的四个独立预测因素:D-二聚体升高(>184.3 ng/mL;比值比[OR] 1.626,95%置信区间[CI] 1.466 - 2.771,p < 0.001)、N末端B型脑钠肽原(NT-proBNP)峰值(>2640.11 pg/mL;OR 3.391,95% CI 2.030 - 5.273,p < 0.001)、左心室质量指数(LVMI)增加(>105.91 g/m²;OR 2.057,95% CI 1.152 - 3.833,p = 0.012)以及梗死相关动脉(IRA)为左前降支动脉(LAD)(OR 4.737,95% CI 2.363 - 10.545,p < 0.001)。使用受试者工作特征(ROC)分析,整合这四个预测因素的HFpEF-AMI评分显示出优异的区分性能,曲线下面积(AUC)为0.882(95% CI:0.849 - 0.910)。在最佳截断值logit(P)≥0.322时,该模型的灵敏度为74.8%,特异性为86.6%。在2年随访期间,HFpEF患者的主要不良心血管和脑血管事件(MACCE)发生率(19.6%对6.0%)和心力衰竭相关再住院率(18.7%对4.3%;均p < 0.001)显著更高。 结论:HFpEF-AMI评分是一种用于早期识别AMI后有发生HFpEF风险患者的新型且临床适用的工具。该评分纳入了常规实验室和血管造影参数,可能有助于风险分层和长期预后评估。
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