Admission Levels of Serum P-Selectin and IL-6 Can Predict Development of Deep Venous Thrombosis in Hospitalized Covid-19 Patients

入院时血清P-选择素和IL-6水平可预测新冠肺炎住院患者深静脉血栓的发生

阅读:2

Abstract

BACKGROUND AND AIM: Deep venous thrombosis (DVT) of the lower extremities is common in Covid-19 patients. Interleukin (IL)-6 and P-selectin were found to be elevated in Covid-19 patients. The current study aimed to evaluate P-selectin and IL6 in Covid-19 patients with DVT and to explore its relation to clinical and laboratory parameters in those patients. PATIENTS AND METHODS: The present retrospective study included 150 hospitalized COVID-19 patients diagnosed on the basis of a positive result of reverse-transcriptase polymerase chain reaction (RT-PCR) test. Laboratory assessments were included for IL-6 and P selectin assessments via enzyme-linked immunosorbent assay. The primary outcome of the present study was the development of DVT detected by Doppler ultrasound (DU) evaluation of the lower extremities during the admission. RESULTS: The present study included 150 hospitalized Covid-19 patients. DVT was developed in 59 patients (39.3%). DVP patients had significantly higher levels of P selectin [76.0 (63.0-87.0) versus 63.0 (54.3-75.0), p < 0.001] and IL-6 [37.0 (27.0-49.0) versus 18.5 (13.5-31.5), p < 0.001]. ROC curve analysis revealed good performance of P selectin [AUC (95% CI): 0.72 (0.64-0.81)] and IL-6 [AUC (95% CI): 0.79 (0.71-0.86)] in identification of DVT. Logistic regression analysis identified the presence of severe disease [OR (95% CI): 9.016 (3.61-22.49), p < 0.001], elevated P selectin [OR (95% CI): 1.032 (1.005-1.059), p = 0.018] and elevated IL-6 [OR (95% CI): 1.062 (1.033-1.091), p < 0.001] as significant predictors of DVT development in multivariate analysis. CONCLUSION: The present study identified a probable role of elevated P-selectin and IL-6 levels in the DVT development in hospitalized Covid-19 patients.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。