血清微小RNA-374b-5p、P选择素、肿瘤坏死因子受体相关因子6联合检测对下肢创伤性骨折患者术后深静脉血栓形成的预测价值

Predictive value of combined detection of serum microRNA-374b-5p, P-selectin and tumor necrosis factor receptor-associated factor 6 for postoperative deep vein thrombosis in patients with traumatic lower limb fractures

  • 摘要:
    目的 探讨血清微小RNA-374b-5p(miR-374b-5p)、P选择素(P-selectin)及肿瘤坏死因子受体相关因子6(TRAF6)表达水平与下肢创伤性骨折患者术后深静脉血栓形成(DVT)的关系,并构建多因素Logistic回归模型,建立术后DVT风险预测工具。
    方法 选取下肢创伤性骨折患者160例为研究对象,并根据术后彩超检查结果分为深静脉血栓组(n=55)和非深静脉血栓组(n=105)。收集患者的临床资料,并对其凝血指标、血脂指标进行检测。采用实时荧光定量聚合酶链反应检测患者术后24 h内血清miR-374b-5p表达水平。采用酶联免疫吸附测定(ELISA)检测血清P-selectin、TRAF6水平,分析其与术后DVT的关系。采用Logistic回归分析筛选下肢创伤性骨折患者术后DVT的影响因素,并建立相关模型评估患者DVT的风险。
    结果 2组人口学特征(性别、年龄、体质量指数)、基础疾病(高血压、糖尿病、静脉曲张)、治疗相关因素(术后止血药物使用、骨折部位)及生活习惯(吸烟史、饮酒史)比较,差异无统计学意义(P>0.05)。深静脉血栓组患者术后首次下床时间<7 d占比低于非深静脉血栓组, D-二聚体、纤维蛋白原降解产物水平高于非深静脉血栓组,差异有统计学意义(P<0.05)。深静脉血栓组患者的高密度脂蛋白胆固醇水平低于非深静脉血栓组,差异有统计学意义(P<0.05)。深静脉血栓组的血清miR-374b-5p相对表达量、P-selectin、TRAF6水平高于非深静脉血栓组,差异有统计学意义(P<0.05)。Logistic回归分析结果显示,术后下床时间≥7 d、D-二聚体、纤维蛋白原降解产物、高密度脂蛋白胆固醇、miR-374b-5p相对表达量、P-selectin、TRAF6水平是患者术后DVT的影响因素,据此建立术后DVT预测模型,该模型预测患者术后DVT的曲线下面积(AUC)为0.977(95%CI: 0.953~0.992)。
    结论 血清miR-374b-5p、P-selectin、TRAF6水平与下肢创伤性骨折患者术后DVT密切相关,据此建立的预测模型具有较高的预测价值。

     

    Abstract:
    Objective To investigate the correlations of the expression levels of serum microRNA-374b-5p (miR-374b-5p), P-selectin and tumor necrosis factor receptor-associated factor 6 (TRAF6) with deep vein thrombosis (DVT) in patients with traumatic lower limb fractures, and to construct a multi-indicator Logistic regression model to establish a postoperative DVT risk prediction tool.
    Methods A total of 160 patients with traumatic lower limb fractures were selected as the study subjects and divided into DVT group (n=55) and non-DVT group (n=105) based on postoperative color Doppler ultrasound examination results. Clinical data of the patients were collected, and their coagulation and blood lipid indicators were tested. Real-time fluorescent quantitative polymerase chain reaction was used to detect the serum miR-374b-5p expression level within 24 hours postoperatively. Enzyme-linked immunosorbent assay (ELISA) was employed to measure serum P-selectin and TRAF6 levels, and their relationships with short-term postoperative DVT were analyzed. Logistic regression analysis was conducted to identify the influencing factors of postoperative DVT in patients with traumatic lower limb fractures, and a relevant model was established to assess the patients′ DVT risk.
    Results There were no statistically significant differences in demographic characteristics (gender, age and body mass index), underlying diseases (hypertension, diabetes and varicose veins), treatment-related factors (postoperative hemostatic drug use and fracture site), and lifestyle habits (smoking history and alcohol consumption history) between the two groups (P>0.05). The proportion of patients in the DVT group with a postoperative first ambulation time of less than 7 days was significantly lower than that in the non-DVT group, while the levels of D-dimer and fibrinogen degradation products were significantly higher in the DVT group than those in the non-DVT group (P < 0.05). The high-density lipoprotein cholesterol level in the DVT group was significantly lower than that in the non-DVT group (P < 0.05). The relative expression levels of serum miR-374b-5p and the levels of P-selectin and TRAF6 in the DVT group were significantly higher than those in the non-DVT group (P < 0.05). Logistic regression analysis revealed that a postoperative ambulation time of ≥7 days, D-dimer, fibrinogen degradation products, high-density lipoprotein cholesterol, relative expression level of miR-374b-5p as well as levels of P-selectin and TRAF6 were influencing factors for postoperative DVT in patients. Based on these findings, a postoperative DVT prediction model was established, which showed an area under the curve (AUC) of 0.977 (95%CI: 0.953 to 0.992) for predicting postoperative DVT in patients.
    Conclusion The serum levels of miR-374b-5p, P-selectin and TRAF6 are closely related to postoperative DVT in patients with traumatic lower limb fractures, and the prediction model established based on these factors has high predictive value.

     

/

返回文章
返回