基础医学与临床 ›› 2025, Vol. 45 ›› Issue (9): 1184-1189.doi: 10.16352/j.issn.1001-6325.2025.09.1184

• 研究论文 • 上一篇    下一篇

联合检测血清sST2、GFR和SI对急性失代偿性心力衰竭患者预后的预测

薛雅馨*, 陈安琪, 郑懿, 蓝云云   

  1. 株洲市中心医院 心血管内科,湖南 株洲 412007
  • 收稿日期:2025-03-04 修回日期:2025-06-23 发布日期:2025-08-27
  • 通讯作者: *yaxin_xue@163.com
  • 基金资助:
    湖南省临床医疗技术创新引导项目(2021SK54003)

Predicting prognosis of patients with acute decompensated heart failure based on combined test of serum sST2, GFR and SI

XUE Yaxin*, CHEN Anqi, ZHENG Yi, LAN Yunyun   

  1. Department of Cardiovascular Medicine, Zhuzhou Central Hospital, Zhuzhou 412007, China
  • Received:2025-03-04 Revised:2025-06-23 Published:2025-08-27
  • Contact: *yaxin_xue@163.com

摘要: 目的 评估血清可溶性人基质裂解素-2(sST2)、肾小球滤过率(GFR)及血清铁(SI)联合预测急性失代偿性心力衰竭(ADHF)患者不良预后的临床价值。方法 纳入575例ADHF患者,通过测量血清sST2、GFR、SI水平等生物标志物并进行随访。患者根据是否发生主要不良心脏事件(MACEs)被分为预后不良组和预后良好组。使用Kaplan-Meier生存分析和Cox回归分析评估这些指标的预后价值,并通过受试者工作特征(ROC)曲线比较单一与联合指标的预测能力。结果 预后不良组患者的心率、收缩压、舒张压、空腹血糖水平、sST2水平和总铁结合力显著高于对照组(P<0.05),而GFR、SI和转铁蛋白饱和度显著低于对照组(P<0.05)。Cox多因素生存分析结果显示,sST2、GFR和SI是ADHF患者预后不良的独立预测因子(P<0.05)。Kaplan-Meier生存分析显示,较高水平的sST2与较差的生存预后相关。ROC曲线分析表明,联合使用sST2、GFR、SI这3项指标时ROC曲线下的面积(AUC)值提高至0.834,灵敏度为80.2%,特异度为75.6%,具有更高的预测效能。结论 血清sST2、GFR和SI联合使用能够显著提高对ADHF患者预后的预测能力,三者联合预测的AUC值最高,能够更准确地评估患者的风险。该联合指标为临床提供了更为可靠的工具,有助于早期识别高风险患者,指导治疗决策,并改善患者的预后管理。

关键词: 急性失代偿性心力衰竭, 可溶性人基质裂解素-2, 肾小球滤过率, 血清铁, 预后预测

Abstract: Objective To evaluate the application of serum soluble suppression of tumorigenicity-2 (sST2), glomerular filtration rate (GFR), and serum iron (SI) combined test for predicting prognosis of acute decompensated heart failure (ADHF) patients. Methods A total of 575 ADHF patients were included in this study. Serum sST2, GFR, SI levels and other biomarkers were measured and followed up. Patients were divided into poor prognosis and good prognosis groups based on the occurrence of major adverse cardiovascular events (MACEs). Kaplan-Meier survival analysis and Cox regression analysis were used to evaluate the prognostic value of these indicators, and receiver operating characteristic (ROC) curves were employed to compare the prediction outcome of single and combined indicators. Results In the poor prognosis group, heart rate, systolic blood pressure, diastolic blood pressure and fasting blood glucose level were all significantly higher than in those in the control group (P<0.05). Additionally, the poor prognosis group had higher level of sST2 and total iron-binding capacity, while GFR, SI and transferring saturation were lower as compared to control group(P<0.05). Cox multivariate survival analysis showed that sST2, GFR, and SI were independent predictors of poor prognosis in ADHF patients (P<0.05). Kaplan-Meier survival analysis revealed that higher level of sST2 was associated with poor survival prognosis. ROC curve analysis showed that when the biomarkers like sST2, GFR and SI were used together, the area under the curve (AUC) increased to 0.834, with a sensitivity of 80.2% and a specificity of 75.6%. Conclusions Combination test of serum sST2, GFR and SI significantly supports the predictive function for ADHF patients'prognosis. The highest AUC value from the combined biomarker prediction may contribute to a more accurate assessment of patient risk. This combined test of indicators provides a more reliable tool for clinicians in terms of early identification of high-risk patients, guiding treatment decisions and improving the prognosis management of patients.

Key words: acute decompensate heart failure, soluble suppression of tumorigenicity-2, glomerular filtration rate, serum iron, prognostic prediction

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