Gui Yonghui, Xu Yuanhong, Yang Peng
Department of Blood Transfusion, The First Affiliated Hospital of Anhui Medical University, Hefei, 230022, Anhui, People's Republic of China.
Department of Clinical Laboratory, The First Affiliated Hospital of Anhui Medical University, Hefei, 230022, Anhui, People's Republic of China.
J Inflamm Res. 2021 Oct 29;14:5647-5652. doi: 10.2147/JIR.S335727. eCollection 2021.
The purpose of this study was to evaluate the predictive value of the platelet-to-albumin ratio (PAR) on the risk of death in patients with severe fever with thrombocytopenia syndrome.
Between Jan 2019 and June 2021, 127 cases which were admitted to the First Affiliated Hospital of Anhui Medical University have been included in this study. The laboratory data were selected at the time of admission. To identify the potential independent risk factors for severe fever associated with thrombocytopenia syndrome, multivariate logistic regression analysis was performed. Receiver operating characteristic (ROC) curve analysis was used to evaluate the prediction accuracy of PAR in identifying patients exhibiting severe fever with thrombocytopenia syndrome.
Multiple logistic regression analysis showed that PAR could potentially serve as an independent risk factor for the death in patients with SFTS (OR = 4.023, 95% CI 1.204-13.436, P=0.024). The prediction of the risk of death in patients with SFTS was assessed using the AUC. The AUC for the PAR was 0.729 (95% CI, 0.637-0.82, P < 0.001), whereas the optimal cut-off value of PAR was found to be 1.43, with 54.9% sensitivity and 86.1% specificity.
Our study demonstrated for the first time that PAR could act as an independent predictor for mortality in adult patients with SFTS.
本研究旨在评估血小板与白蛋白比值（PAR）对严重发热伴血小板减少综合征患者死亡风险的预测价值。
2019年1月至2021年6月期间，安徽医科大学第一附属医院收治的127例患者纳入本研究。选取入院时的实验室数据。采用多因素logistic回归分析确定与严重发热伴血小板减少综合征相关的潜在独立危险因素。采用受试者工作特征（ROC）曲线分析评估PAR对严重发热伴血小板减少综合征患者的预测准确性。
多因素logistic回归分析显示，PAR可能是严重发热伴血小板减少综合征患者死亡的独立危险因素（OR = 4.023，95%CI 1.204 - 13.436，P = 0.024）。采用AUC评估严重发热伴血小板减少综合征患者的死亡风险预测情况。PAR的AUC为0.729（95%CI，0.637 - 0.82，P < 0.001），而PAR的最佳截断值为1.43，灵敏度为54.9%，特异度为86.1%。
我们的研究首次证明PAR可作为严重发热伴血小板减少综合征成年患者死亡的独立预测指标。
