• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

[急性ST段抬高型心肌梗死合并射血分数降低的心力衰竭患者1年时射血分数改善的预测模型]

[Predictive model for ejection fraction improvement at one year in patients with acute ST-segment elevation myocardial infarction complicated with heart failure with reduced ejection fraction].

作者信息

Tao Z Y, Zhao H, Wang Z, Chai Y Z, Guo X N, Wu Q Z, Wang Y N, Wu C, Ni L Y, Li X X, Zhou Y P, Li C Y, Li X L, Sun X W, Jiang M, Pu J

机构信息

Department of Cardiology, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai200127, China.

Ningbo Hangzhou Bay Hospital(Ningbo Branch of Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai),Ningbo315336, China.

出版信息

Zhonghua Yi Xue Za Zhi. 2025 Jan 28;105(4):297-305. doi: 10.3760/cma.j.cn112137-20241023-02390.

DOI:10.3760/cma.j.cn112137-20241023-02390
PMID:39865014
Abstract

To develop a predictive model for improvement of ejection fraction 1 year after heart failure with reduced ejection fraction (HFrEF) following acute ST-segment elevation myocardial infarction (STEMI). This nested case-control study included STEMI patients diagnosed with HFrEF from a prospective multicenter multimodality imaging cohort between August 2014 and March 2021. Based on the improvement of left ventricular ejection fraction (LVEF) at baseline and 1-year follow-up, the patients were classified into the heart failure with improved ejection fraction (HFimpEF) group and the persistent HFrEF group. The clinical data were collected, and cardiac histological changes were assessed using cardiac magnetic resonance imaging. Multivariate logistic regression analysis was performed to identify factors associated with ejection fraction improvement at one year, and a predictive model was developed and internally validated. The performance and clinical applicability of the model were evaluated using receiver operating characteristic (ROC) curves, calibration curves, and decision curve analysis. A total of 117 STEMI patients (102 males and 15 females) aged (61.6±11.6) years were included in the study. At the 1-year follow-up, there were 61 patients (52.1%)in the HFimpEF group,and 56 patients (47.9%) in the HFrEF group . Compared with persistent HFrEF group, patients in HFimpEF group had smaller baseline left ventricular end-systolic diameter (LVESD) [33.0 (30.0, 36.0) mm vs 35.5 (32.0, 39.0) mm], smaller infarct size [26.1% (20.3%, 36.0)% vs 40.6% (33.0%, 45.4)%], lower peak B-type natriuretic peptide (BNP) level [340.0 (190.5, 692.5) ng/L vs 636.0 (318.5, 1 188.8) ng/L], lower peak level of soluble suppression of tumorigenicity 2 (sST2) [36.7 (25.8, 60.5) μg/L vs 62.4 (30.6, 120.7) μg/L], and higher hematocrit [(43.5%±3.5%) vs (40.8%±5.6%)] (all <0.05). Multivariate logistic regression analysis revealed that smaller baseline LVESD (=0.825, 95%: 0.745-0.914), smaller infarct size (=0.967, 95%: 0.939-0.995), peak BNP level≤400 ng/L (=3.062, 95%: 1.283-7.306), peak sST2 level≤35 μg/L (=2.600, 95%: 1.040-6.501), and higher hematocrit (=1.109, 95%: 1.030-1.193) were predictors of LVEF improvement in STEMI patients with HFrEF. The predictive model formula: logit (P)=2.619-0.034×infarcted myocardium percentage (%)+1.119×(peak BNP level≤400 ng/L)+0.956×(peak sST2 level≤35 μg/L)+0.103×hematocrit (%)-0.192×LVESC (mm) (where peak BNP level≤400 ng/L and peak sST2 level≤35 μg/L are binary variables: Yes=1, No=0). The area under the ROC curve (AUC) was 0.805 (95%: 0.723-0.887), indicating good predictive ability. Calibration curves and decision curve analysis indicated good model consistency and clinical utility. Smaller LVESD, smaller infarct size, peak BNP level≤400 ng/L, peak sST2 level≤35 μg/L and higher hematocrit are predictive factors for LVEF improvement after STEMI. The predictive model has good performance for predicting HFimpEF.

摘要

建立一个预测模型,用于预测急性ST段抬高型心肌梗死(STEMI)后射血分数降低的心力衰竭(HFrEF)患者1年后射血分数的改善情况。这项巢式病例对照研究纳入了2014年8月至2021年3月期间来自一项前瞻性多中心多模态成像队列中诊断为HFrEF的STEMI患者。根据基线和1年随访时左心室射血分数(LVEF)的改善情况,将患者分为射血分数改善的心力衰竭(HFimpEF)组和持续性HFrEF组。收集临床数据,并使用心脏磁共振成像评估心脏组织学变化。进行多变量逻辑回归分析以确定与1年时射血分数改善相关的因素,并建立一个预测模型并进行内部验证。使用受试者操作特征(ROC)曲线、校准曲线和决策曲线分析评估该模型的性能和临床适用性。该研究共纳入117例年龄为(61.6±11.6)岁的STEMI患者(102例男性和15例女性)。在1年随访时,HFimpEF组有61例患者(52.1%),HFrEF组有56例患者(47.9%)。与持续性HFrEF组相比,HFimpEF组患者的基线左心室收缩末期内径(LVESD)较小[33.0(30.0,36.0)mm对35.5(32.0,39.0)mm],梗死面积较小[26.1%(20.3%,36.0)%对40.6%(33.0%,45.4)%],B型利钠肽(BNP)峰值水平较低[340.0(190.5,692.5)ng/L对636.0(318.5,1188.8)ng/L],可溶性肿瘤抑制因子2(sST2)峰值水平较低[36.7(25.8,60.5)μg/L对62.4(30.6,120.7)μg/L],以及血细胞比容较高[(43.5%±3.5%)对(40.8%±5.6%)](均P<0.05)。多变量逻辑回归分析显示,较小的基线LVESD(β=0.825,95%CI:0.745-0.914)、较小的梗死面积(β=0.967,95%CI:0.939-0.995)、BNP峰值水平≤400 ng/L(β=3.062,95%CI:1.283-7.306)、sST2峰值水平≤35 μg/L(β=2.600,95%CI:1.040-6.501)以及较高的血细胞比容(β=1.109,95%CI:1.030-1.193)是HFrEF的STEMI患者LVEF改善的预测因素。预测模型公式:logit(P)=2.619-0.034×梗死心肌百分比(%)+1.119×(BNP峰值水平≤400 ng/L)+0.956×(sST2峰值水平≤35 μg/L)+0.103×血细胞比容(%)-0.192×LVESC(mm)(其中BNP峰值水平≤400 ng/L和sST2峰值水平≤35 μg/L为二元变量:是=1,否=0)。ROC曲线下面积(AUC)为0.805(95%CI:0.723-0.887),表明具有良好的预测能力。校准曲线和决策曲线分析表明模型具有良好的一致性和临床实用性。较小的LVESD、较小的梗死面积、BNP峰值水平≤400 ng/L、sST2峰值水平≤35 μg/L和较高的血细胞比容是STEMI后LVEF改善的预测因素。该预测模型对预测HFimpEF具有良好的性能。

相似文献

1
[Predictive model for ejection fraction improvement at one year in patients with acute ST-segment elevation myocardial infarction complicated with heart failure with reduced ejection fraction].[急性ST段抬高型心肌梗死合并射血分数降低的心力衰竭患者1年时射血分数改善的预测模型]
Zhonghua Yi Xue Za Zhi. 2025 Jan 28;105(4):297-305. doi: 10.3760/cma.j.cn112137-20241023-02390.
2
Left Ventricular End-Systolic Diameter May Predict Persistent Heart Failure with Reduced Ejection Fraction.左心室收缩末期直径可能预测射血分数降低的持续性心力衰竭。
Int Heart J. 2023 Nov 30;64(6):1095-1104. doi: 10.1536/ihj.23-293. Epub 2023 Nov 14.
3
Association between cardiac magnetic resonance ventricular strain and left ventricular thrombus in patients with ST-segment elevation myocardial infarction.ST 段抬高型心肌梗死患者心脏磁共振心室应变与左心室血栓的相关性。
Int J Cardiovasc Imaging. 2024 Aug;40(8):1735-1744. doi: 10.1007/s10554-024-03163-2. Epub 2024 Jun 17.
4
Heart failure with improved versus persistently reduced left ventricular ejection fraction: A comparison of the BIOSTAT-CHF (European) study with the ASIAN-HF registry.左心室射血分数改善型与持续降低型心力衰竭:BIOSTAT-CHF(欧洲)研究与亚洲心力衰竭注册研究的比较
Eur J Heart Fail. 2024 Dec;26(12):2518-2528. doi: 10.1002/ejhf.3378. Epub 2024 Aug 9.
5
Tissue inhibitor of metalloproteinase (TIMP)-1 predicts failure of recovery of ejection fraction in acute heart failure with reduced ejection fraction.组织金属蛋白酶抑制剂 1(TIMP-1)可预测射血分数降低的急性心力衰竭患者心功能恢复失败。
Open Heart. 2024 Sep 25;11(2):e002770. doi: 10.1136/openhrt-2024-002770.
6
Value of brain natriuretic peptide after acute myocardial infarction.急性心肌梗死后脑钠肽的价值。
Anadolu Kardiyol Derg. 2008 Jun;8(3):182-7.
7
Incidence and predictors of heart failure with reduced and preserved ejection fraction after ST-elevation myocardial infarction in the contemporary era of early percutaneous coronary intervention.ST 段抬高型心肌梗死患者行直接经皮冠状动脉介入治疗后射血分数降低和保留的心衰发生率及预测因素。
Eur J Heart Fail. 2024 May;26(5):1142-1149. doi: 10.1002/ejhf.3225. Epub 2024 Apr 4.
8
Short-term predictive value of sST2 in patients with STEMI following primary PCI: a prospective observational study.sST2对ST段抬高型心肌梗死患者直接经皮冠状动脉介入治疗后的短期预测价值:一项前瞻性观察研究。
BMC Cardiovasc Disord. 2025 Jan 15;25(1):21. doi: 10.1186/s12872-025-04488-z.
9
Prediction of left ventricular thrombus after myocardial infarction: a cardiac magnetic resonance-based prospective registry.心肌梗死后左心室血栓的预测:一项基于心脏磁共振的前瞻性注册研究。
Eur J Intern Med. 2025 Jan;131:104-112. doi: 10.1016/j.ejim.2024.09.015. Epub 2024 Oct 8.
10
Relation of a novel fibrosis marker and post-myocardial infarction left ventricular ejection fraction in revascularized patients.新型纤维化标志物与血运重建患者心肌梗死后左心室射血分数的关系
Biomark Med. 2021 Dec;15(17):1651-1658. doi: 10.2217/bmm-2021-0003. Epub 2021 Oct 27.