| 赵桂梅,杨 毅,洪小兰,谢丹丹,张珍珠.甘油三酯葡萄糖乘积指数、红细胞分布宽度、血清尿酸、降钙素原与冠心病患者冠状动脉狭窄程度和短期预后的关系分析[J].,2022,(22):4341-4346 |
| 甘油三酯葡萄糖乘积指数、红细胞分布宽度、血清尿酸、降钙素原与冠心病患者冠状动脉狭窄程度和短期预后的关系分析 |
| Relationship Analysis between Triglyceride-Glucose Product index, Red Blood Cell Distribution Width, Serum Uric Acid, Procalcitonin and the Degree of Coronary Artery Stenosis and Short-Term Prognosis in Patients with Coronary Heart Disease |
| 投稿时间：2022-05-07 修订日期：2022-05-31 |
| DOI：10.13241/j.cnki.pmb.2022.22.027 |
| 中文关键词: 冠心病 甘油三酯葡萄糖乘积指数 血尿酸 降钙素原 红细胞分布宽度 冠状动脉狭窄 短期预后 |
| 英文关键词: Coronary heart disease Triglyceride-glucose product index Serum uric acid Procalcitonin Red blood cell distribution width Coronary artery stenosis Short-term prognosis |
| 基金项目:福建省自然科学基金项目（2018J011295） |
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| 中文摘要: |
| 摘要 目的：探讨甘油三酯葡萄糖乘积（TyG）指数、红细胞分布宽度（RDW）、血清尿酸（UA）、降钙素原（PCT）与冠心病患者冠状动脉狭窄程度和短期预后的关系。方法：选取2017年1月至2021年12月我院收治的150例冠心病患者，均行冠状动脉造影并以Gensini积分系统评估冠状动脉狭窄程度，分为轻度组、中度组和重度组，比较各组的TyG指数、RDW、UA、PCT水平，以Pearson相关系数分析上述指标与Gensini积分的相关性。患者出院后均随访6个月，根据有无发生主要心血管不良事件（MACE）分为预后良好组和预后不良组，以多因素Logisitc回归分析预后的影响因素，以受试者工作特征（ROC）曲线分析对预后的预测效能。结果：不同冠状动脉狭窄程度患者的TyG指数、RDW、UA、PCT水平差异均表现为，从轻度到重度依次升高（P＜0.05）。Pearson相关性分析显示，冠心病患者的TyG指数、RDW、UA、PCT水平与Gensini积分均呈正相关（P＜0.05）。预后不良组的甘油三酯（TG）、Gensini积分、TyG指数、RDW、UA、PCT水平均高于预后良好组（P＜0.05）；多因素Logistic回归分析显示，TG≥3.5 mmol/L、Gensini积分≥30分、TyG指数≥5、RDW≥12.8%、UA≥380 μmol/L、PCT≥35 μg/L是冠心病患者预后不良的危险因素（P＜0.05）。ROC曲线分析显示，TyG指数、RDW、UA、PCT单独及联合预测冠心病患者预后不良的曲线下面积分别为0.786、0.793、0.794、0.789和0.948，联合预测效能明显更高。结论：冠心病患者的TyG指数、RDW、血UA、PCT水平与冠状动脉狭窄程度呈正相关，其均为患者短期预后的影响因素，联合检测上述指标对患者短期预后有一定预测价值。 |
| 英文摘要: |
| ABSTRACT Objective: To investigate the relationship between triglyceride-glucose product (TyG) index, red blood cell distribution width (RDW), serum uric acid (UA), procalcitonin (PCT) and the degree of coronary artery stenosis and short-term prognosis in patients with coronary heart disease. Methods: 150 patients with coronary heart disease who were admitted to our hospital from January 2017 to December 2021 were selected, all patients underwent coronary angiography and the degree of coronary artery stenosis was assessed by Gensini score system, they were divided into mild group, moderate group and severe group. The TyG index, RDW, UA and PCT levels of each group were compared. The correlation between the above indicators and Gensini score was analyzed by Pearson correlation coefficient. All patients were followed up for 6 months after discharge. According to the occurrence of major adverse cardiovascular events (MACE), they were divided into good prognosis group and poor prognosis group. The influencing factors of prognosis were analyzed by multifactor Logisitc regression, and the predictive effect of prognosis was analyzed by receiver operating characteristic (ROC) curve. Results: The TyG index, RDW, UA and PCT levels in patients with different degrees of coronary artery stenosis increased from mild to severe (P＜0.05). Pearson correlation analysis showed that TyG index, RDW, UA, PCT levels in patients with coronary heart disease were positively correlated with Gensini score (P＜0.05). The triglyceride (TG), Gensini score, TyG index, RDW, UA and PCT levels in the poor prognosis group were higher than those in the good prognosis group (P＜0.05). Multivariate Logistic regression analysis showed that TG ≥3.5 mmol/l, Gensini score ≥30 scores, TyG index ≥5, RDW ≥12.8%, UA ≥380 μmol/L、PCT≥35 μG/L were risk factor for poor prognosis in patients with coronary heart disease (P＜0.05). ROC curve analysis showed that the areas under curve of TyG index, RDW, UA and PCT alone and in combination to predict the poor prognosis of patients with coronary heart disease were 0.786, 0.793, 0.794, 0.789 and 0.948 respectively, and the combined prediction efficiency was significantly higher. Conclusion: TyG index, RDW, blood UA and PCT levels in patients with coronary heart disease are positively correlated with the degree of coronary artery stenosis, which are influencing factors for short-term prognosis of patients. Combined detection of the above indicators has a certain predictive value for short-term prognosis of patients. |
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