血清GGT、RDW水平评估肺源性心脏病心力衰竭患者预后的价值
Value of Serum GGT and RDW Levels in Evaluating Prognosis of Patients with Heart Failure Due to Pulmonary Heart Disease
DOI: 10.12677/acm.2025.15123610, PDF,   
作者: 周 佳:青岛大学附属医院心血管内科,山东 青岛;山东省乳山市人民医院呼吸内科,山东 威海;姜瑞娇:山东省平度市人民医院呼吸内科,山东 青岛;张文忠*:青岛大学附属医院心血管内科,山东 青岛
关键词: 血清GGT红细胞分布宽度肺源性心脏病心力衰竭预后Serum GGT Red Blood Cell Distribution Width Pulmonary Heart Disease Heart Failure Prognosis
摘要: 目的:探讨血清γ-谷氨酰转移酶(GGT)、红细胞分布宽度(RDW)水平在评估肺源性心脏病心力衰竭患者预后中的价值,为临床预后判断提供依据。方法:回顾性分析672例肺源性心脏病心力衰竭患者,根据预后分为预后良好组(606例)和预后较差组(66例)。比较两组患者血清GGT、RDW水平,同时分析心肺功能指标(NT-proBNP、LVEF、PASP等)及炎症指标差异。采用单因素logistic回归筛选有统计学意义的变量,将年龄、NT-proBNP、LVEF、hs-CRP、PaO2与GGT、RDW一同纳入多变量logistic回归分析独立危险因素,ROC曲线评估预测效能。结果:预后较差组血清GGT水平为(106.61 ± 3.96) U/L,显著高于预后良好组的(89.14 ± 1.53) U/L (P < 0.001);RDW水平为(18.33 ± 1.49)%,低于预后良好组的(21.38 ± 2.25)% (P < 0.001)。预后较差组NT-proBNP升高(850.36 ± 152.84 pg/mL vs 580.25 ± 105.32 pg/mL, P < 0.001),LVEF降低(42.53 ± 7.15% vs 55.84 ± 6.21%, P < 0.001),炎症指标(hs-CRP、IL-6等)均显著异常。多变量logistic回归显示,GGT (OR = 1.876, 95% CI 1.412~2.493, P < 0.001)和RDW (OR = 1.732, 95% CI 1.345~2.231, P < 0.001)仍是不良预后独立危险因素(校正年龄、NT-proBNP、LVEF、hs-CRP、PaO2后)。ROC曲线显示,GGT联合RDW检测的AUC为0.885,敏感性82.35%,特异性85.27%。结论:血清GGT、RDW水平与肺源性心脏病心力衰竭患者预后密切相关,联合检测可有效预测不良心血管事件风险,为临床预后评估提供参考。
Abstract: Objective: To explore the value of serum gamma-glutamyl transferase (GGT) and red blood cell distribution width (RDW) levels in evaluating the prognosis of patients with heart failure due to pulmonary heart disease, and to provide a basis for clinical prognosis judgment. Methods: A retrospective analysis was performed on 672 patients with heart failure due to pulmonary heart disease, who were divided into a good prognosis group (606 cases) and a poor prognosis group (66 cases) according to their prognosis. Serum GGT and RDW levels were compared between the two groups, and differences in cardiopulmonary function indicators (NT-proBNP, LVEF, PASP, etc.) and inflammatory indicators were analyzed. Univariate logistic regression was used to screen statistically significant variables, and age, NT-proBNP, LVEF, hs-CRP, and PaO2 were included in the multivariate logistic regression model together with GGT and RDW to analyze independent risk factors. The ROC curve was used to evaluate the predictive efficiency. Results: The serum GGT level in the poor prognosis group was (106.61 ± 3.96) U/L, significantly higher than (89.14 ± 1.53) U/L in the good prognosis group (P < 0.001); the RDW level was (18.33 ± 1.49)%, lower than (21.38 ± 2.25)% in the good prognosis group (P < 0.001). In addition, NT-proBNP was elevated (850.36 ± 152.84 pg/mL vs 580.25 ± 105.32 pg/mL, P < 0.001), LVEF was decreased (42.53 ± 7.15% vs 55.84 ± 6.21%, P < 0.001), and inflammatory indicators (hs-CRP, IL-6, etc.) were significantly abnormal in the poor prognosis group. Multivariate logistic regression showed that GGT (OR = 1.876, 95% CI 1.412~2.493, P < 0.001) and RDW (OR = 1.732, 95% CI 1.345~2.231, P < 0.001) remained independent risk factors for poor prognosis (after adjusting for age, NT-proBNP, LVEF, hs-CRP, PaO2). The ROC curve showed that the combined detection of GGT and RDW had an AUC of 0.885, with a sensitivity of 82.35% and a specificity of 85.27%. Conclusion: Serum GGT and RDW levels are closely related to the prognosis of patients with heart failure due to pulmonary heart disease. Combined detection can effectively predict the risk of adverse cardiovascular events, providing a reference for clinical prognosis evaluation.
文章引用:周佳, 姜瑞娇, 张文忠. 血清GGT、RDW水平评估肺源性心脏病心力衰竭患者预后的价值[J]. 临床医学进展, 2025, 15(12): 1922-1931. https://doi.org/10.12677/acm.2025.15123610

参考文献

[1] Krause, U., Bergau, L., Zabel, M., Schneider, H.E., Müller, M.J. and Paul, T. (2024) Pulsed Field Ablation of Atrial Fibrillation and Atrial Tachycardia in Adult Patients with Congenital Heart Disease. Circulation: Arrhythmia and Electrophysiology, 17, e012698. [Google Scholar] [CrossRef] [PubMed]
[2] Wang, T., Xing, Y., Peng, B., Yang, K., Zhang, C., Chen, Y., et al. (2023) Respiratory Microbiome Profile of Pediatric Pulmonary Hypertension Patients Associated with Congenital Heart Disease. Hypertension, 80, 214-226. [Google Scholar] [CrossRef] [PubMed]
[3] Li, J., Dong, S., Xing, N., Jin, F., Lu, L., Lu, P., et al. (2021) Application of Gastroscopy Based on Nano Carbon in the Remedy of Chronic Pulmonary Heart Disease Caused by Helicobacter pylori. Journal of Nanoscience and Nanotechnology, 21, 1127-1134. [Google Scholar] [CrossRef] [PubMed]
[4] Otto, C.M. (2024) Chapter 9-Cardiomyopathies, Hypertensive and Pulmonary Heart Disease. Elsevier Inc.
[5] 中国心力衰竭诊断与治疗质量评价和控制指标专家共识[J]. 中国医学前沿杂志(电子版), 2021, 13(3): 52-62.
[6] 中华医学会心血管病学分会. 中国心力衰竭诊断和治疗指南2024[J]. 中华心血管病杂志, 2024, 52(2): 98-122.
[7] 叶丹, 赵阳, 张春婷, 等. 血清TBIL, GGT, HCY, LP(a)等指标在PCAD和LCAD风险评估中的价值[J]. 分子诊断与治疗杂志, 2023, 15(5): 817-821.
[8] 马小阳, 葛顺利, 李磊. 冠心病患者血清同型半胱氨酸与谷氨酰转移酶水平的变化及其临床意义[J]. 临床医学, 2019, 39(10): 32-33.
[9] Feng, X., Yang, C., Sun, Z., Kan, W., He, X., Chen, Y., et al. (2023) Risk Factors for Mortality in Patients with Acute Exacerbation of Cor Pulmonale in Plateau. BMC Pulmonary Medicine, 23, Article No. 238. [Google Scholar] [CrossRef] [PubMed]
[10] 黄晓慧, 张劼. RDW联合血浆ET-1对COPD急性加重期并发肺动脉高压的预测分析[J]. 热带医学杂志, 2020, 20(1): 72-76.
[11] 王筱, 陈中珍. GGT、醛固酮、Hcy在老年重症心力衰竭患者病情及预后评估中的价值探究[J]. 中国急救复苏与灾害医学杂志, 2024, 19(10): 1261-1266, 1274.
[12] 李娜, 孙亚楠, 樊鹏鹏. 血清GGT、CysC及脂代谢指标水平与2型糖尿病合并冠心病的关联性分析[J]. 淮海医药, 2023, 41(4): 356-360.
[13] 兰飞平, 胡振平, 练惠织, 等. 高血压合并CAS患者血清Hcy、ET-1、GGT的变化及其意义[J]. 心脑血管病防治, 2020, 20(4): 327-330.
[14] 高菲, 马志玲, 何佩娟, 等. 不同类型肥厚型心肌病患者临床特征及血清sST2、GGT表达差异性与心功能的相关性分析[J]. 现代生物医学进展, 2023, 23(21): 4042-4047.
[15] 董发, 魏王芬, 杨登魁. 射血分数保留的心力衰竭患者血清TSP-2、γ-GGT水平与心功能及心血管事件的关系[J]. 海南医学, 2021, 32(19): 2492-2495.
[16] 朱依伊. 血清GGT水平与老年住院心衰患者的相关性研究[D]: [硕士学位论文]. 长春: 吉林大学, 2020.
[17] 李富利, 王淼, 刘娜, 等. 同型半胱氨酸、糖化血红蛋白变异指数、红细胞分布宽度对急性心肌梗死的预测价值[J]. 中国老年学杂志, 2024, 44(6): 1344-1347.
[18] 张学会, 韩晶晶, 张玉岩, 等. VEGF、RDW与重症肺炎支原体肺炎患儿心肌损害的相关性及诊断价值分析[J]. 中国医师杂志, 2024, 26(3): 418-422.
[19] 姜惠敏. Framingham卒中风险评分联合RDW预测H型高血压患者远期脑卒中风险的价值[J]. 四川医学, 2020, 41(1): 23-26.
[20] Zinellu, A. and Mangoni, A.A. (2022) The Emerging Clinical Significance of the Red Cell Distribution Width as a Biomarker in Chronic Obstructive Pulmonary Disease: A Systematic Review. Journal of Clinical Medicine, 11, Article 5642. [Google Scholar] [CrossRef] [PubMed]