Clinical value of novel bunyavirus load combined with platelet count and thrombin time on prognosis of fever patients complicating with thrombocytopenia syndrome
- VernacularTitle: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
- Author:
Ji GUO
1
;
Yong LYU
Author Information
- Publication Type:Research Article
- Keywords: fever with thrombocytopenia syndrome; prognosis; new bunyavirus; load; platelet count; thrombin time
- From: Journal of Clinical Medicine in Practice 2024;28(15):9-13
- CountryChina
- Language:Chinese
-
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.
