Development of a Mortality Prediction Model in Hospitalised SARS-CoV-2 Positive Patients Based on Routine Kidney Biomarkers
일상적인 신장 바이오마커를 기반으로 입원한 SARS-CoV-2 양성 환자의 사망률 예측 모델 개발
Article
Published on
Journal: International Journal of Molecular Sciences [Category] COVID19(2023년), MERS, SARS, 바이오마커,
Journal: International Journal of Molecular Sciences [Category] COVID19(2023년), MERS, SARS, 바이오마커,
[키워드] Acute kidney injury
acute respiratory syndrome
acute respiratory syndrome coronavirus
acute respiratory syndrome coronavirus 2
age
AKI
an area
analysed
AUROC
Biomarker
Blood
blood test
blood tests
characteristic
Cohort
coronavirus
COVID-19
creatinine
develop
development
Ethnicity
focus
foundation
hospital
hospitalised
Humber
in-hospital mortality
increased mortality
Inpatients
kidney
Kidney function
kidney function test
Kidney function tests
Kidney injury
Logistic regression
logistic regression model
main outcome measure
Model
Mortality
National Health Service
NHS
outcome
Patient
patients without AKI
PCR test
positive
positive RT-PCR
prediction
Prediction model
predictor
prevalent
random
Random forest
receiver operating characteristic
regions
respiratory
resulting
retrospective cohort study
routine
RT-PCR test
SARS-CoV-2
SARS-CoV-2 infected patients
SARS-CoV-2 positive patient
SARS-CoV-2 positive patients
severe acute respiratory syndrome Coronavirus
Sex
sodium
test dataset
Trust
United Kingdom
urea
[DOI] 10.3390/ijms23137260 PMC 바로가기 [Article Type] Article
[DOI] 10.3390/ijms23137260 PMC 바로가기 [Article Type] Article