Prediction Model Based on the Combination of Cytokines and Lymphocyte Subsets for Prognosis of SARS-CoV-2 Infection
Original Article
[키워드] Admission
Analysis
approach
B cells
CD4
CD8
Combination
Concentration
coronavirus disease
Coronavirus disease 2019
COVID-19
cytokine
Cytokines
death
decrease
enrolled
exhibited
group
Hospital stay
In-hospital death
interleukin-6
lymphocyte
Lymphocyte subset
Lymphocyte subsets
marker
Model
NK cell
outcome
participant
Patient
patients with COVID-19
positively correlated
predict
prediction
Prognosis
provide
receptor
Result
SARS-CoV-2
Sensitivity and specificity
serum cytokine
severe acute respiratory syndrome coronavirus 2
Significant
subjects
subset
supplementary material
survived
T cell
T cells
the disease
threshold
Tongji Hospital
tumor necrosis factor-α
was performed
was used
with COVID-19
[DOI] 10.1007/s10875-020-00821-7 PMC 바로가기 [Article Type] Original Article
[DOI] 10.1007/s10875-020-00821-7 PMC 바로가기 [Article Type] Original Article