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  • 标题:Pearson’s patterns correlational of clinical risks at admissions with hospitalization outcomes during initial COVID-19 outbreak
  • 本地全文:下载
  • 作者:Jingwen Li ; Xi Long ; Qing Zhang
  • 期刊名称:iScience
  • 印刷版ISSN:2589-0042
  • 出版年度:2022
  • 卷号:25
  • 期号:6
  • 页码:1-17
  • DOI:10.1016/j.isci.2022.104415
  • 语种:English
  • 出版社:Elsevier
  • 摘要:SummaryCOVID-19 outbreaks have crushed our healthcare systems, which requires clinical guidance for the healthcare following the outbreaks. We conducted retrospective cohort studies withPearson’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 × 10−31for % neutrophil; p = 4.14 × 10−27for neutrophil count). These findings were further illustrated by a representative “second week crash” pattern and validated by an independent cohort (p = 5.98 × 10−11for % neutrophil; p = 1.65 × 10−7for 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.Graphical abstractDisplay OmittedHighlights•Neutrophil surge alone can be a significant risk for COVID-19 mortality•Higher AST, LDH, or ALT level at admission predicts longer hospitalization•Inhibition of neutrophil represents a therapeutical mechanismHealth sciences; Clinical finding; Risk factor
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