Author: Xiaofan Lu; Yang Wang; Taige Chen; Yongsheng Li; Jun Wang; Fangrong Yan
Title: Classification of COVID-19 in intensive care patients: towards rational and effective clinical triage Document date: 2020_4_11
ID: 6cr9h7no_17
Snippet: The study is limited by ignoring the effect of treatment, but we believe that such classification of COVID-19 in intensive care patients could help in early warning of the disease and would provide effective triage for the treatment and management of individual patients, allowing for a more rational allocation of scarce medical resources in a resource constrained environment. Survival was analyzed with log-rank test and pair-wise comparison was a.....
Document: The study is limited by ignoring the effect of treatment, but we believe that such classification of COVID-19 in intensive care patients could help in early warning of the disease and would provide effective triage for the treatment and management of individual patients, allowing for a more rational allocation of scarce medical resources in a resource constrained environment. Survival was analyzed with log-rank test and pair-wise comparison was adjusted by Benjamini-Hochberg method. Labels of "high" and "low" were based on data interval instead of clinical reference values. AKI: acute kidney injury; DIC: disseminated intravascular coagulation; ARDS: acute respiratory distress syndrome; CVD: cardiovascular disease; SpO2: peripheral oxygen saturation; FiO2: fraction of inspired oxygen; WBC: white blood cell; RDW: red cell distribution width.
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