摘要
目的评价多发性骨髓瘤(MM)患者血浆凝血标志物水平的变化,分析其对血栓前状态的预测价值。方法选取MM患者43例(MM组),健康体检者40例(对照组)。应用化学发光法分别检测MM组及正常对照组血浆中血栓早期分子标志物凝血酶-抗凝血酶Ⅲ复合物(TAT)、纤溶酶-α2纤溶酶抑制物复合物(PIC)、血栓调节蛋白(TM)、组织型纤溶酶原激活剂抑制剂1复合物(t-PAIC);用凝固法检测纤维蛋白原(Fib);用免疫比浊法检测D-二聚体(D-dimer)。结果与正常对照组相比,MM组TAT、PIC、TM、Fib、D-dimer水平较高,差异有统计学意义(P<0.05);MM组t-PAIC水平较低,差异有统计学意义(P<0.05)。MM不同免疫球蛋白分型之间比较,TAT和Fib水平有差异(P<0.05),其他检测项目差异均无统计学意义(P>0.05)。TAT、PIC、TM、t-PAIC、Fib、D-dimer在MM的不同Durie-Salmon(DS)分期中差异有统计学意义(P<0.05)。结论MM患者易发生凝血及纤溶系统紊乱,PIC、TAT、TM、t-PAIC与Fib、D-dimer联合检测是预测MM患者血栓前状态的良好指标。
Objective To evaluate the changes of coagulation markers in the patients with multiple myeloma(MM),and to analyze their diagnostic value in prethrombotic state.Methods Forty-three patients with MM and 40 healthy individuals were selected.Plasma molecular markers of early thrombosis including thrombin-antithrombin complex(TAT),plasmin-α2-plasmin inhibitor complex(PIC),thrombomodulin(TM)and tissue plasminogen activator/plasminogen activator inhibitor-1 complex(t-PAIC)in the MM group and the normal control group were detected using chemiluminescent immunoassay respectively.Fibrinogen(Fib)was detected by coagulation method.D-dimer was detected by immunoturbidimetry.Results Compared with the normal control group,TAT,PIC,TM,Fib and D-dimer levels were higher while t-PAIC level was lower in the MM group(all P<0.05).Comparison in different types of immunoglobulins in the MM group revealed differences in TAT and Fib levels(P<0.05),but no statistical significance in other detected items(P>0.05).TAT,PIC,TM,t-PAIC,Fib and D-dimer showed statistical differences among different Durie-Salmon(DS)stages of MM(P<0.05).Conclusion The patients with MM are prone to abnormal blood coagulation and fibrinolysis system.The combined detection of PIC,TAT,TM,t-PAIC,Fib and D-dimer is a good indicator for the diagnosis of prethrombotic state in MM.
作者
郝立君
贾海英
黄睿
HAO Lijun;JIA Haiying;HUANG Rui(Clinical Examination Center,People's Hospital of Xinjiang Uygur Autonomous Region,Urumqi 830001,China)
出处
《新疆医科大学学报》
CAS
2021年第2期201-204,共4页
Journal of Xinjiang Medical University
基金
新疆维吾尔自治区自然科学基金(2019D01C103)。
