Pearson’s patterns correlational of clinical risks at admissions with hospitalization outcomes during initial COVID-19 outbreak

Abstract

Summary: COVID-19 outbreaks have crushed our healthcare systems, which requires clinical guidance for the healthcare following the outbreaks. We conducted retrospective cohort studies with Pearson’s pattern-based analysis of clinical parameters of 248 hospitalized patients with COVID-19. We found that dysregulated neutrophil densities were correlated with hospitalization duration before death (p = 0.000066, r = −0.45 for % neutrophil; p = 0.0001, r = −0.47 for neutrophil count). As such, high neutrophil densities were associated with mortality (p = 4.23 × 10−31 for % neutrophil; p = 4.14 × 10−27 for neutrophil count). These findings were further illustrated by a representative “second week crash” pattern and validated by an independent cohort (p = 5.98 × 10−11 for % neutrophil; p = 1.65 × 10−7 for neutrophil count). By contrast, low aspartate aminotransferase (AST) or lactate dehydrogenase (LDH) levels were correlated with quick recovery (p ≤ 0.00005). Collectively, these correlational at-admission findings may provide healthcare guidance for patients with COVID-19 in the absence of targeted therapy.

Keywords

• Health sciences
• Clinical finding
• Risk factor