To investigate the potential prognostic value of Serum cystatin C (sCys C) in patients with COVID-19 and determine the association of sCys C with severe COVID-19 illness. We performed a retrospective review of medical records of 162 (61.7 ± 13.5 years) patients with COVID-19. We assessed the predictive accuracy of sCys C for COVID-19 severity by the receiver operating characteristic (ROC) curve analysis. The participants were divided into two groups based on the sCys C cut-off value. We evaluated the association between high sCys C level and the development of severe COVID-19 disease, using a COX proportional hazards regression model. The area under the ROC curve was 0.708 (95% CI 0.594–0.822), the cut-off value was 1.245 (mg/L), and the sensitivity and specificity was 79.1% and 60.7%, respectively. A multivariable Cox analysis showed that a higher level of sCys C (adjusted HR 2.78 95% CI 1.25–6.18, p = 0.012) was significantly associated with an increased risk of developing a severe COVID-19 illness. Patients with a higher sCys C level have an increased risk of severe COVID-19 disease. Our findings suggest that early assessing sCys C could help to identify potential severe COVID-19 patients.
【저자키워드】 viral infection, Risk factors, 【초록키워드】 COVID-19 severity, ROC, Accuracy, Sensitivity and specificity, Regression model, characteristic, severe COVID-19 disease, association, retrospective, Analysis, ROC Curve, Predictive, medical record, Prognostic value, 95% CI, increased risk, hazard, severe COVID-19 patients, help, participant, cut-off value, severe COVID-19 illness, multivariable, identify, performed, significantly, evaluated, adjusted, determine, two group, COX, patients with COVID-19, 【제목키워드】 COVID-19 severity, Predictive, Serum level,