Department of Infectious Diseases, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, People's Republic of China.
BMC Infect Dis. 2022 Apr 9;22(1):357. doi: 10.1186/s12879-022-07320-7.
Severe fever with thrombocytopenia syndrome (SFTS) is a novel emerging viral infectious disease. We explore the value of cystatin C (CysC) level in the evaluation of disease severity and prognosis in patients with SFTS.
254 patients with SFTS were enrolled in this study. According to the classification and the outcome of the disease, the patients were divided into the general group and the severe group, the severe patients were divided into the fatal group and the non-fatal group. We compared the laboratory indexes by univariate and multivariate logistic regression analysis to explore the severity and prognostic risk factors of SFTS disease, ROC curve and Kaplan-Meier survival analysis curve were drawn to analyze the independent risk factors and the predictive value of disease severity and prognosis.
Univariate analysis showed that the CysC level in severe group and fatal group was significantly higher than general group and non-fatal group (P < 0.05), respectively. Multivariate logistic regression showed that the CysC level was an independent risk factor for severe and death in SFTS patients, and it can effectively predict the risk of severe (AUC = 0.711, 95% CI: 0.645-0.777) and death (AUC = 0.814, 95% CI: 0.737-0.89). The risk of death in patients with cystatin C ≥ 1.23 mg/L was 5.487 times higher than that in patients with cystatin C < 1.23 mg/L.
The CysC level have good predictive value for disease severity and prognosis in patients with SFTS. Trial registration Not applicable.
发热伴血小板减少综合征(SFTS)是一种新型的新兴病毒性传染病。我们探讨了胱抑素 C(CysC)水平在评估 SFTS 患者疾病严重程度和预后中的价值。
本研究纳入了 254 例 SFTS 患者。根据分类和疾病结局,将患者分为普通组和严重组,严重组再分为致死组和非致死组。通过单因素和多因素 logistic 回归分析比较实验室指标,以探讨 SFTS 疾病的严重程度和预后风险因素,绘制 ROC 曲线和 Kaplan-Meier 生存分析曲线,分析独立风险因素及疾病严重程度和预后的预测价值。
单因素分析显示,严重组和致死组的 CysC 水平明显高于普通组和非致死组(P < 0.05)。多因素 logistic 回归显示,CysC 水平是 SFTS 患者严重和死亡的独立危险因素,能有效预测严重(AUC = 0.711,95%CI:0.645-0.777)和死亡(AUC = 0.814,95%CI:0.737-0.89)的风险。CysC≥1.23mg/L 的患者死亡风险是 CysC<1.23mg/L 的患者的 5.487 倍。
CysC 水平对 SFTS 患者的疾病严重程度和预后具有良好的预测价值。
本研究无注册号。