Serum Cystatin C and Coronavirus Disease 2019: A Potential Inflammatory Biomarker in Predicting Critical Illness and Mortality for Adult Patients.

Abstract

This study aimed at determining the relationship between baseline cystatin C levels and coronavirus disease 2019 (COVID-19) and investigating the potential prognostic value of serum cystatin C in adult patients with COVID-19. 481 patients with COVID-19 were consecutively included in this study from January 2, 2020, and followed up to April 15, 2020. All clinical and laboratory data of COVID-19 patients with definite outcomes were reviewed. For every measure, COVID-19 patients were grouped into quartiles according to the baseline levels of serum cystatin C. The highest cystatin C level was significantly related to more severe inflammatory conditions, worse organ dysfunction, and worse outcomes among patients with COVID-19 (P values < 0.05). In the adjusted logistic regression analyses, the highest cystatin C level and ln-transformed cystatin C levels were independently associated with the risks of developing critically ill COVID-19 and all-cause death either in overall patients or in patients without chronic kidney disease (P values < 0.05). As a potential inflammatory marker, increasing baseline levels of serum cystatin C might independently predict adverse outcomes for COVID-19 patients. Serum cystatin C could be routinely monitored during hospitalization, which showed clinical importance in prognosticating for adult patients with COVID-19.

• Authors: Dan Chen, Wenwu Sun, Jia Li, Bohua Wei, Wei Liu, Xiaopin Wang, Fan Song, Liangkai Chen, Junhui Yang, Li Yu
• Journal: Mediators of inflammation (Mediators Inflamm) Vol. 2020 Pg. 3764515 ( 2020) ISSN: 1466-1861 [Electronic] United States
• PMID: 33061826 (Publication Type: Journal Article)
• Copyright: Copyright © 2020 Dan Chen et al.

Chemical References

• Biomarkers
• CST3 protein, human
• Cystatin C
• Inflammation Mediators

Topics

• Adult
• Aged
• Betacoronavirus
• Biomarkers (blood)
• COVID-19
• China (epidemiology)
• Cohort Studies
• Comorbidity
• Coronavirus Infections (blood, epidemiology, mortality)
• Critical Illness
• Cystatin C (blood)
• Female
• Humans
• Inflammation Mediators (blood)
• Kaplan-Meier Estimate
• Logistic Models
• Male
• Middle Aged
• Models, Biological
• Nonlinear Dynamics
• Pandemics
• Pneumonia, Viral (blood, epidemiology, mortality)
• Prognosis
• Retrospective Studies
• Risk Factors
• SARS-CoV-2