新型布尼亚病毒载量联合血小板计数、凝血酶时间对发热伴血小板减少综合征患者预后的临床价值研究

Clinical value of novel bunyavirus load combined with platelet count and thrombin time on prognosis of fever patients complicating with thrombocytopenia syndrome

  • 摘要:
    目的  探讨新型布尼亚病毒(SFTSV)载量联合血小板计数(PLT)、凝血酶时间(TT)在发热伴血小板减少综合征(SFTS)患者预后中的临床价值。
    方法  选取SFTS患者100例, 根据预后情况分为生存组(n=77)和死亡组(n=23),比较生存组和死亡组患者临床一般资料、症状、PLT、凝血指标及SFTSV载量差异,并分析其对患者预后的影响。
    结果  死亡组发热持续时间长于生存组,差异有统计学意义(P < 0.05); 死亡组发生消化道出血、神志改变、肾功能损害、心脏功能损害和弥散性血管内凝血(DIC)患者占比高于生存组,差异有统计学意义(P < 0.05); 死亡组PLT低于生存组,而TT和活化部分凝血活酶时间(APTT)长于生存组,差异有统计学意义(P < 0.05); 死亡组SFTSV载量的拷贝数对数值≥5的患者占比高于生存组,差异有统计学意义(P < 0.05)。Logistic回归分析显示,消化道出血、肾功能损害、心脏功能损害、DIC、PLT、TT和SFTSV载量是患者死亡的影响因素(P < 0.05), 基于此构建的方程预测患者死亡的受试者工作特征(ROC)曲线的曲线下面积为0.919(95%CI: 0.860~0.977), 灵敏度和特异度分别为95.70%和81.80%。
    结论  SFTS患者预后受消化道出血、肾功能损害、心脏功能损害、DIC、PLT、TT和病毒载量因素的影响,且基于影响因素构建的方程在预测患者预后方面有一定价值。

     

    Abstract:
    Objective  To investigate the clinical significance of severe fever with thrombocytopenia syndrome virus (SFTSV) load combined with platelet count (PLT) and thrombin time (TT) in predicting the prognosis of fever patients with thrombocytopenia syndrome (SFTS).
    Methods  A total of 100 patients with SFTS were selected and divided into survival group (n=77) and death group (n=23) based on their prognosis. Clinical general information, symptoms, PLT, coagulation indexes, and SFTSV load were compared between the survival and death groups, and their impacts on prognosis of patients were analyzed.
    Results  The duration of fever in the death group was longer than that in the survival group (P < 0.05). The proportion of patients with gastrointestinal bleeding, altered mental status, renal impairment, cardiac impairment, and disseminated intravascular coagulation (DIC) was higher in the death group than in the survival group (P < 0.05). PLT was lower in the death group than in the survival group, while TT and activated partial thromboplastin time (APTT) were longer in the death group(P < 0.05). The proportion of patients with logarithm of copy number for SFTSV load ≥5 was higher in the death group than in the survival group (P < 0.05). Logistic regression analysis showed that gastrointestinal bleeding, renal impairment, cardiac impairment, DIC, PLT, TT, and SFTSV load were factors influencing patients' mortality (P < 0.05). The area under the receiver operating characteristic (ROC) curve of the equation predicting patients'mortality was 0.919 (95%CI, 0.860 to 0.977), with sensitivity and specificity of 95.70% and 81.80%, respectively.
    Conclusion  The prognosis of SFTS patients is influenced by factors such asgastrointestinal bleeding, renal impairment, cardiac impairment, DIC, PLT, TT, and virus load. The equation constructed based on these influencing factors has certain value in predicting patients' prognosis.

     

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