Factors Defining the Development of Severe Illness in Patients with COVID-19: A Retrospective Study.
Biomed Environ Sci
; 34(12): 984-991, 2021 Dec 20.
Article
in English
| MEDLINE | ID: covidwho-1608702
ABSTRACT
OBJECTIVE:
Early triage of patients with coronavirus disease 2019 (COVID-19) is pivotal in managing the disease. However, studies on the clinical risk score system of the risk factors for the development of severe disease are limited. Hence, we conducted a clinical risk score system for severe illness, which might optimize appropriate treatment strategies.METHODS:
We conducted a retrospective, single-center study at the JinYinTan Hospital from January 24, 2020 to March 31, 2020. We evaluated the demographic, clinical, and laboratory data and performed a 10-fold cross-validation to split the data into a training set and validation set. We then screened the prognostic factors for severe illness using the least absolute shrinkage and selection operator (LASSO) and logistic regression, and finally conducted a risk score to estimate the probability of severe illness in the training set. Data from the validation set were used to validate the score.RESULTS:
A total of 295 patients were included. From 49 potential risk factors, 3 variables were measured as the risk score neutrophil to lymphocyte ratio ( OR, 1.27; 95% CI, 1.15-1.39), albumin ( OR, 0.76; 95% CI, 0.70-0.83), and chest computed tomography abnormalities ( OR, 2.01; 95% CI, 1.41-2.86) and the AUC of the validation cohort was 0.822 (95% CI, 0.7667-0.8776).CONCLUSION:
This report may help define the potential of developing severe illness in patients with COVID-19 at an early stage, which might be related to the neutrophil to lymphocyte ratio, albumin, and chest computed tomography abnormalities.Keywords
Full text:
Available
Collection:
International databases
Database:
MEDLINE
Main subject:
Risk Assessment
/
COVID-19
Type of study:
Cohort study
/
Diagnostic study
/
Experimental Studies
/
Observational study
/
Prognostic study
/
Randomized controlled trials
Limits:
Aged
/
Female
/
Humans
/
Male
/
Middle aged
Language:
English
Journal:
Biomed Environ Sci
Journal subject:
Environmental Health
Year:
2021
Document Type:
Article
Affiliation country:
Bes2021.117
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