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

International Journal of General Medicine, Volume 15, Year 2022

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.
Statistics
Citations: 13
Authors: 13
Affiliations: 2
Identifiers
Research Areas
Covid
Study Design
Cohort Study
Study Approach
Quantitative