A Novel Prediction Model of COVID-19 Progression: A Retrospective Cohort Study.
Infect Dis Ther
; 10(3): 1491-1504, 2021 Sep.
Article
in English
| MEDLINE | ID: covidwho-1269197
ABSTRACT
INTRODUCTION:
Estimating the risk of disease progression is of utmost importance for planning appropriate setting of care and treatment for patients with coronavirus disease 2019 (COVID-19). This study aimed to develop and validate a novel prediction model of COVID-19 progression.METHODS:
In total, 814 patients in the training set were included to develop a novel scoring system; and 420 patients in the validation set were included to validate the model.RESULTS:
A prediction score, called ACCCDL, was developed on the basis of six risk factors associated with COVID-19 progression age, comorbidity, CD4+ T cell count, C-reactive protein (CRP), D-dimer, and lactate dehydrogenase (LDH). For predicting COVID-19 progression, the ACCCDL score yielded a significantly higher area under the receiver operating characteristic curve (AUROC) compared with the CALL score, CoLACD score, PH-COVID-19 score, neutrophil-lymphocyte ratio, and lymphocyte-monocyte ratio both in the training set (0.92, 0.84, 0.83, 0.83, 0.76, and 0.65, respectively) and in the validation set (0.97, 0.83, 0.83, 0.78, 0.74, and 0.60, respectively). Over 99% of patients with the ACCCDL score < 12 points will not progress to severe cases, and over 30% of patients with the ACCCDL score > 20 points will progress to severe cases.CONCLUSION:
The ACCCDL score could stratify patients with at risk of COVID-19 progression, and was useful in regulating the large flow of patients with COVID-19 between primary health care and tertiary centers.
Full text:
Available
Collection:
International databases
Database:
MEDLINE
Type of study:
Cohort study
/
Observational study
/
Prognostic study
Language:
English
Journal:
Infect Dis Ther
Year:
2021
Document Type:
Article
Affiliation country:
S40121-021-00460-4
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