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    可溶性生长刺激表达基因2蛋白对合并COVID-19的终末期肾病患者预后的预测价值

    Predictive value of soluble growth stimulation expressed gene 2 protein in the prognosis of end-stage renal disease patients with COVID-19

    • 摘要: 目的 探讨可溶性生长刺激表达基因2蛋白(sST2)对合并新型冠状病毒感染(COVID-19)的终末期肾病(ESRD)患者预后的预测价值。方法 回顾性分析合并COVID-19的ESRD患者的临床资料。采用单因素和多因素 logistic 回归探讨ESRD患者合并重型和危重型COVID-19及死亡的危险因素。分析细胞因子对患者预后的预测价值。结果 共纳入100例合并COVID-19的ESRD患者,其中COVID-19普通型患者60例,重型患者22例,危重型患者18例。多因素 logistic 回归显示,入院脉搏氧饱和度、白蛋白、冠心病和连续性肾脏替代治疗是合并重型和危重型COVID-19的独立危险因素。冠心病、白蛋白、乳酸脱氢酶和机械通气是合并COVID-19的ESRD患者死亡的独立危险因素。入院时的sST2预测ESRD患者合并重型和危重型COVID-19的ROC曲线下面积(AUC)为0.706(95%CI:0.563~0.848,P=0.009),预测死亡的AUC为0.837(95%CI:0.729~0.944,P=0.007),白细胞介素-6(IL-6)和sST2联合预测死亡的AUC为0.923(95%CI:0.850~0.996,P=0.001)。结论 sST2可作为预测合并COVID-19的ESRD患者预后的生物学标记物。

       

      Abstract: Objective To explore the predictive value of soluble growth stimulation expressed gene 2 protein (sST2) in the prognosis of end-stage renal disease (ESRD) patients with corona virus disease 2019 (COVID-19). Methods Retrospective analysis was conducted on the clinical data of ESRD patients with COVID-19. Univariate and multivariate logistic regression analyses were performed to investigate the risk factors for disease severity and mortality in ESRD patients with COVID-19. The predictive value of cytokines for patient prognosis was analyzed. Results A total of 100 ESRD patients with COVID-19 were included, including 60 mild cases, 22 severe cases, and 18 critically ill cases. Multivariate logistic regression showed that blood oxygen saturation upon admission, albumin levels, coronary heart disease, and continuous renal replacement therapy were independent risk factors for severe and critical COVID-19 in ESRD patients. Coronary heart disease, albumin levels, lactate dehydrogenase, and mechanical ventilation were independent risk factors for patient mortality. The area under the ROC curve (AUC) for sST2 in predicting severe and critical COVID-19 in ESRD patients at admission was 0.706 (95% CI: 0.563-0.848, P=0.009), and the AUC for predicting mortality was 0.837 (95% CI: 0.729-0.944, P=0.007). The model combining IL-6 and sST2 for predicting mortality had an AUC of 0.923 (95% CI: 0.850-0.996, P=0.001). Conclusions sST2 can be used as a biological marker to predict the prognosis of ESRD patients with COVID-19.

       

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