Scores based on neutrophil percentage and lactate dehydrogenase with or without oxygen saturation predict hospital mortality risk in severe COVID-19 patients.
Hospital mortality
Prediction
SARS-CoV-2
Severe COVID-19
Journal
Virology journal
ISSN: 1743-422X
Titre abrégé: Virol J
Pays: England
ID NLM: 101231645
Informations de publication
Date de publication:
31 03 2021
31 03 2021
Historique:
received:
06
01
2021
accepted:
23
03
2021
entrez:
1
4
2021
pubmed:
2
4
2021
medline:
14
4
2021
Statut:
epublish
Résumé
Risk scores are needed to predict the risk of death in severe coronavirus disease 2019 (COVID-19) patients in the context of rapid disease progression. Using data from China (training dataset, n = 96), prediction models were developed by logistic regression and then risk scores were established. Leave-one-out cross validation was used for internal validation and data from Iran (test dataset, n = 43) was used for external validation. A NSL model (area under the curve (AUC) 0.932) and a NL model (AUC 0.903) were developed based on neutrophil percentage and lactate dehydrogenase with and without oxygen saturation (SaO These scores may be used to predict the risk of death in severe COVID-19 patients and the NL score could be used in regions where patients' SaO
Sections du résumé
BACKGROUND
Risk scores are needed to predict the risk of death in severe coronavirus disease 2019 (COVID-19) patients in the context of rapid disease progression.
METHODS
Using data from China (training dataset, n = 96), prediction models were developed by logistic regression and then risk scores were established. Leave-one-out cross validation was used for internal validation and data from Iran (test dataset, n = 43) was used for external validation.
RESULTS
A NSL model (area under the curve (AUC) 0.932) and a NL model (AUC 0.903) were developed based on neutrophil percentage and lactate dehydrogenase with and without oxygen saturation (SaO
CONCLUSIONS
These scores may be used to predict the risk of death in severe COVID-19 patients and the NL score could be used in regions where patients' SaO
Identifiants
pubmed: 33789703
doi: 10.1186/s12985-021-01538-8
pii: 10.1186/s12985-021-01538-8
pmc: PMC8011050
doi:
Substances chimiques
L-Lactate Dehydrogenase
EC 1.1.1.27
Oxygen
S88TT14065
Types de publication
Journal Article
Multicenter Study
Observational Study
Langues
eng
Sous-ensembles de citation
IM
Pagination
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