SUI Yong, SUN Hui, YAO Chuanwei, SHI Min, YU Jun. Serological predictors of poor prognosis in patients with chronic heart failure[J]. Journal of Clinical Medicine in Practice, 2021, 25(21): 52-57. DOI: 10.7619/jcmp.20212165
Citation: SUI Yong, SUN Hui, YAO Chuanwei, SHI Min, YU Jun. Serological predictors of poor prognosis in patients with chronic heart failure[J]. Journal of Clinical Medicine in Practice, 2021, 25(21): 52-57. DOI: 10.7619/jcmp.20212165

Serological predictors of poor prognosis in patients with chronic heart failure

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  • Received Date: May 24, 2021
  • Available Online: December 02, 2021
  • Published Date: November 14, 2021
  •   Objective  To explore the serological predictors of poor prognosis in patients with chronic heart failure(CHF).
      Methods  A total of 145 newly diagnosed patients with CHF were recruited as group A, and 138 healthy volunteers were recruited as group B. Serum levels of soluble suppression of tumorigenicity 2 (sST2), growth differentiation factor 15 (GDF-15) and lonely G protein coupled receptor ligand-12 (Apelin-12) in both groups were detected; the predictive value of serum sST2, GDF-15 and Apelin-12 levels alone and their combination for poor prognosis in the group A was analyzed.
      Results  Two cases were lost during follow-up in the group A. The serum levels of sST2 and GDF-15 in the group A were significantly higher, and the level of Apelin-12 was significantly lower than that in the group B (P < 0.05). The incidence of poor prognosis in the group A was 44.06%, the levels of sST2 and GDF-15 in patients with poor prognosis were significantly higher than those in patients with good prognosis, and the level of Apelin-12 was significantly lower than those in patients with good prognosis (P < 0.05). Age, diabetes mellitus, hyperlipidemia, increased level of N-terminal prohormone B-type natriuretic peptide (NT-proBNP), sST2, GDF-15 and decreased level of Apelin-12 were the influencing factors of poor prognosis in the group A. The sensitivity of sST2, GDF-15 and APelin-12 levels combined to predict poor prognosis of CHF patients was significantly higher than those of single prediction (P < 0.01), and area under the curve (AUC) of receiver operating characteristic (ROC) was significantly higher than that of single prediction (P < 0.05).
      Conclusion  The serum levels of sST2 and GDF-15 are higher, and the serum levels of Apelin-12 is lower in patients with CHF. The above serum indexes, age and complications are related to the prognosis of patients, and the combination of these three factors a better efficacy in predicting poor prognosis of patients.
  • [1]
    穆艳会, 王永辉, 刘东梅. 慢性心力衰竭患者血清Cat S、TSP-1水平变化及意义[J]. 山东医药, 2020, 60(19): 67-70. https://www.cnki.com.cn/Article/CJFDTOTAL-SDYY202019018.htm
    [2]
    ANAND I, ARDELL J L, GREGORY D, et al. Baseline NT-proBNP and responsiveness to autonomic regulation therapy in patients with heart failure and reduced ejection fraction[J]. IJC Heart Vasc, 2020, 29: 100520. doi: 10.1016/j.ijcha.2020.100520
    [3]
    BARUTAUT M, FOURNIER P, PEACOCK W F, et al. sST2 adds to the prognostic value of Gal-3 and BNP in chronic heart failure[J]. Acta Cardiol, 2020, 75(8): 739-747. doi: 10.1080/00015385.2019.1669847
    [4]
    DU H, YANG L, ZHANG H, et al. Correlation between growth differentiation factor-15 and the severity of chronic heart failure in patients with coronary atherosclerosis[J]. Eur Rev Med Pharmacol Sci, 2020, 24(24): 12844-12848.
    [5]
    李莉芳, 肖建华. Apelin/APJ系统在心血管疾病中的生理与病理作用[J]. 中南医学科学杂志, 2019, 47(5): 452-457. https://www.cnki.com.cn/Article/CJFDTOTAL-HYYY201905003.htm
    [6]
    中华医学会心血管病学分会, 中华心血管病杂志编辑委员会. 中国心力衰竭诊断和治疗指南2014[J]. 中国实用乡村医生杂志, 2015(4): 3-5. https://www.cnki.com.cn/Article/CJFDTOTAL-ZLYS201605007.htm
    [7]
    DORSHEIMER L, ASSMUS B, RASPER T, et al. Association of mutations contributing to clonal hematopoiesis with prognosis in chronic ischemic heart failure[J]. JAMA Cardiol, 2019, 4(1): 25-33. doi: 10.1001/jamacardio.2018.3965
    [8]
    CLAUS R, BERLINER D, BAVENDIEK U, et al. Soluble neprilysin, NT-proBNP, and growth differentiation factor-15 as biomarkers for heart failure in dialysis patients (SONGBIRD)[J]. Clin Res Cardiol, 2020, 109(8): 1035-1047. doi: 10.1007/s00392-020-01597-x
    [9]
    HAN X, ZHANG S, CHEN Z, et al. Cardiac biomarkers of heart failure in chronic kidney disease[J]. Clin Chim Acta, 2020, 510: 298-310. doi: 10.1016/j.cca.2020.07.040
    [10]
    叶玺, 叶穗霖, 成莎. 止消通脉清热饮治疗冠心病合并糖尿病疗效及对患者心功能和血清孤独G蛋白偶联受体配体-12水平的影响[J]. 陕西中医, 2020, 41(11): 1584-1586, 1590. https://www.cnki.com.cn/Article/CJFDTOTAL-SXZY202011018.htm
    [11]
    丁才智, 李剑峰, 任力, 等. 血清肝细胞生长因子、生长分化因子-15在慢性心力衰竭患者的表达及其意义[J]. 山东医药, 2019, 59(22): 12-15. https://www.cnki.com.cn/Article/CJFDTOTAL-SDYY201922005.htm
    [12]
    LI M, DUAN L, CAI Y L, et al. Prognostic value of soluble suppression of tumorigenesis-2(sST2) for cardiovascular events in coronary artery disease patients with and without diabetes mellitus[J]. Cardiovasc Diabetol, 2021, 20(1): 49. doi: 10.1186/s12933-021-01244-3
    [13]
    LI M, DUAN L, CAI Y L, et al. Growth differentiation factor-15 is associated with cardiovascular outcomes in patients with coronary artery disease[J]. Cardiovasc Diabetol, 2020, 19(1): 120.
    [14]
    李明远, 陆国玉, 韩雨晴, 等. 可溶性生长刺激表达基因2蛋白、半乳糖凝集素-3、B型钠尿肽联合检测对预测慢性心力衰竭不良预后的临床价值[J]. 临床检验杂志, 2020, 38(7): 508-512. https://www.cnki.com.cn/Article/CJFDTOTAL-LCJY202007007.htm
    [15]
    缪培智, 郑宏超, 周京敏. 慢性心力衰竭患者出院后1年预后及影响因素分析[J]. 内科理论与实践, 2020, 15(2): 85-88. https://www.cnki.com.cn/Article/CJFDTOTAL-NKLL202002007.htm
    [16]
    GABORIT F S, KISTORP C, KVMLER T, et al. Diagnostic utility of MR-proANP and NT-proBNP in elderly outpatients with a high risk of heart failure: the Copenhagen heart failure risk study[J]. Biomarkers, 2020, 25(3): 248-259. doi: 10.1080/1354750X.2020.1732466
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