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

Mediators Inflamm. 2020 Oct 8:2020:3764515. doi: 10.1155/2020/3764515. eCollection 2020.

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.

MeSH terms

  • Adult
  • Aged
  • Betacoronavirus*
  • Biomarkers / blood
  • COVID-19
  • China / epidemiology
  • Cohort Studies
  • Comorbidity
  • Coronavirus Infections / blood*
  • Coronavirus Infections / epidemiology
  • Coronavirus Infections / 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*
  • Pneumonia, Viral / epidemiology
  • Pneumonia, Viral / mortality
  • Prognosis
  • Retrospective Studies
  • Risk Factors
  • SARS-CoV-2

Substances

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