Summary
COVID-19 has highly variable clinical courses. The search for prognostic host factors for COVID-19 outcome is a priority. We performed logistic regression for ICU admission against a polygenic score (PGS) for Cystatin C (CyC) production in patients with COVID-19. We analyzed the predictive value of longitudinal plasma CyC levels in an independent cohort of patients hospitalized with COVID-19. In four cohorts spanning European and African ancestry populations, we identified a significant association between CyC-production PGS and odds of critical illness (n cases=2,319), with the strongest association captured in the UKB cohort (OR 2.13, 95% CI 1.58-2.87, p=7.12e-7). Plasma proteomics from an independent cohort of hospitalized COVID-19 patients (n cases = 131) demonstrated that CyC production was associated with COVID-specific mortality (p=0.0007). Our findings suggest that CyC may be useful for stratification of patients and it has functional role in the host response to COVID-19.
【저자키워드】 Virology, human metabolism, 【초록키워드】 COVID-19, Stratification, proteomics, Hospitalized, Mortality, host response, outcome, cystatin C, Cohort, African, Patient, ICU admission, Logistic regression, plasma, prognostic, Critical, association, hospitalized COVID-19 patient, Predictive, Factor, 95% CI, courses, Host, populations, European, independent, analyzed, performed, functional, demonstrated, cohort of patient, patients with COVID-19, UKB, with COVID-19, 【제목키워드】 COVID-19, outcome, cystatin C, Population,