Novel risk scoring system for predicting acute respiratory distress syndrome among hospitalized patients with coronavirus disease 2019 in Wuhan, China.
BMC Infect Dis
; 20(1): 960, 2020 Dec 17.
Article
in English
| MEDLINE | ID: covidwho-979678
ABSTRACT
BACKGROUND:
The mortality rate from acute respiratory distress syndrome (ARDS) is high among hospitalized patients with coronavirus disease 2019 (COVID-19). Hence, risk evaluation tools are required to immediately identify high-risk patients upon admission for early intervention.METHODS:
A cohort of 220 consecutive patients with COVID-19 were included in this study. To analyze the risk factors of ARDS, data obtained from approximately 70% of the participants were randomly selected and used as training dataset to establish a logistic regression model. Meanwhile, data obtained from the remaining 30% of the participants were used as test dataset to validate the effect of the model.RESULTS:
Lactate dehydrogenase, blood urea nitrogen, D-dimer, procalcitonin, and ferritin levels were included in the risk score system and were assigned a score of 25, 15, 34, 20, and 24, respectively. The cutoff value for the total score was > 35, with a sensitivity of 100.00% and specificity of 81.20%. The area under the receiver operating characteristic curve and the Hosmer-Lemeshow test were 0.967 (95% confidence interval [CI] 0.925-0.989) and 0.437(P Value = 0.437). The model had excellent discrimination and calibration during internal validation.CONCLUSIONS:
The novel risk score may be a valuable risk evaluation tool for screening patients with COVID-19 who are at high risk of ARDS.Keywords
Full text:
Available
Collection:
International databases
Database:
MEDLINE
Main subject:
Respiratory Distress Syndrome
/
COVID-19
Type of study:
Cohort study
/
Diagnostic study
/
Experimental Studies
/
Observational study
/
Prognostic study
/
Randomized controlled trials
Limits:
Adult
/
Aged
/
Female
/
Humans
/
Male
/
Middle aged
Country/Region as subject:
Asia
Language:
English
Journal:
BMC Infect Dis
Journal subject:
Communicable Diseases
Year:
2020
Document Type:
Article
Affiliation country:
S12879-020-05561-y
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