检验医学 ›› 2026, Vol. 41 ›› Issue (9): 872-878.DOI: 10.3969/j.issn.1673-8640.2026.09.008

• 论著 • 上一篇    下一篇

双白蛋白血症患者的代谢和凝血特征分析

郭淑丽1, 赵进1, 苟荣1, 陈程1, 姜敏杰2, 王昌敏1()   

  1. 1 新疆维吾尔自治区人民医院临床检验中心, 新疆 乌鲁木齐 830001
    2 吐鲁番市人民医院检验科, 新疆 吐鲁番 838000
  • 收稿日期:2026-02-03 修回日期:2026-05-06 出版日期:2026-09-30 发布日期:2026-09-29
  • 通讯作者: 王昌敏,E-mail:wcm224@126.com。
  • 作者简介:郭淑丽,女,1983年生,博士,副主任技师,主要从事临床检验与实验研究工作。
  • 基金资助:
    新疆维吾尔自治区人民医院院内科研项目(20230126);新疆维吾尔自治区人民医院院内科研项目(20240220)

Analysis of metabolic and coagulation characteristics in patients with bisalbuminemia

GUO Shuli1, ZHAO Jin1, GOU Rong1, CHEN Cheng1, JIANG Minjie2, WANG Changmin1()   

  1. 1 Clinical Laboratory Center, the People's Hospital of Xinjiang Uygur Autonomous Region, Urumqi 830001,Xinjiang, China
    2 Department of Clinical Laboratory, Turpan People's Hospital, Turpan 838000,Xinjiang, China
  • Received:2026-02-03 Revised:2026-05-06 Online:2026-09-30 Published:2026-09-29

摘要:

目的 探讨双白蛋白血症的流行病学特征及其与代谢指标的关系。方法 选取2014年1月—2024年12月新疆维吾尔自治区人民医院行血清蛋白电泳(SPE)检测的就诊者396 127例,筛选出双白蛋白血症患者105例(双白蛋白血症组),按年龄、性别、民族、采血时间(±1个月)1∶1从其余就诊者中匹配无双白蛋白血症的对照者105例(对照组)。收集所有研究对象的临床资料和常规生化、免疫学项目的检测结果。将双白蛋白血症患者分为合并代谢综合征(MS)组(67例)和无MS组(38例)。将28例有重复SPE检测记录的患者根据双白蛋白带是否持续存在分为持续组(15例)和一过性组(13例)。采用Spearman相关分析评估各项指标与双白蛋白血症的相关性。采用多因素Logistic回归分析评估双白蛋白血症发生的危险因素。结果 双白蛋白血症组和对照组临床资料差异均无统计学意义(P>0.05)。双白蛋白血症组葡萄糖(Glu)、三酰甘油(TG)、低密度脂蛋白胆固醇(LDL-C)、脂蛋白(a)[Lp(a)]、总胆汁酸(TBA)、γ-谷氨酰基转移酶(GGT)、碱性磷酸酶(ALP)、尿酸(UA)、纤维蛋白原(Fib)、D-二聚体(DD)、α1-球蛋白均高于对照组(P<0.05)。一过性组Glu、TG、DD水平和合并糖尿病比例高于持续组(P<0.05)。合并MS组TG、Lp(a)、TBA、UA、Fib、DD、GGT、ALP、α1-球蛋白水平均高于无MS组(P<0.001)。血清Glu、TG、Lp(a)、TBA、UA、DD均与双白蛋白血症呈正相关(r值分别为0.579、0.706、0.555、0.701、0.708、0.634,P<0.001)。TG≥2.3 mmol·L-1和Lp(a)>300 mg·L-1是双白蛋白血症发生的危险因素(P<0.05)。结论 双白蛋白血症与代谢紊乱及高凝状态密切相关,提示其可能与多系统异常风险增加有关。

关键词: 双白蛋白血症, 血清蛋白电泳, 代谢综合征, 脂蛋白(a)

Abstract:

Objective To investigate the epidemiological characteristics of bisalbuminemia and its relationship with metabolic indicators. Methods A total of 396 127 patients who underwent serum protein electrophoresis(SPE) testing at the People's Hospital of Xinjiang Uygur Autonomous Region from January to December 2014 were enrolled. Totally,105 patients with bisalbuminemia(bisalbuminemia group) were identified,and 105 control subjects without bisalbuminemia(control group)were matched from the remaining patients in a 1∶1 ratio according to age,gender,ethnicity and blood sampling time(± 1 month). The clinical data and routine biochemical and immunological determination results were collingected. The bisalbuminemia patients were classified into metabolic syndrome(MS)group(67 cases)and non-MS group(38 cases). Among the 28 patients with repeated SPE testing records,they were classified into persistent group(15 cases)and transient group(13 cases)according to whether the bisalbumin band persisted. Spearman correlation analysis was used to evaluate the correlation between various indicators and bisalbuminemia. Multivariate Logistic regression analysis was used to assess the risk factors for bisalbuminemia. Results There was no statistical significance in clinical data between bisalbuminemia group and control group(P>0.05). The levels of glucose(Glu),triglyceride(TG),low-density lipoprotein cholesterol(LDL-C),lipoprotein(a)[Lp(a)],total bile acid(TBA),gamma-glutamyltransferase(GGT),alkaline phosphatase(ALP),uric acid(UA),fibrinogen(Fib),D-dimer(DD) and alpha1-globulin in bisalbuminemia group were higher than those in control group(P<0.05). The levels of Glu,TG,DD and the proportion of diabetes mellitus in transient group were higher than those in persistent group(P<0.05). The levels of TG,Lp(a),TBA,UA,Fib,DD,GGT,ALP and alpha1-globulin in MS group were higher than those in non-MS group(P<0.01). Serum Glu,TG,Lp(a),TBA,UA and DD were positively correlated with bisalbuminemia(r values were 0.579,0.706,0.555,0.701,0.708 and 0.634,respectively,P<0.001). TG≥2.3 mmol·L-1 and Lp(a)>300 mg·L-1 were risk factors for bisalbuminemia(P<0.05). Conclusions Bisalbuminemia is related to metabolic disorders and hypercoagulable state,suggesting that it may be associated with an increased risk of multiple system abnormalities.

Key words: Bisalbuminemia, Serum protein electrophoresis, Metabolic syndrome, Lipoprotein(a)

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