Risk factors associated with intensive care unit (ICU) admission and in-hospital death among adults hospitalized with COVID-19: a two-center retrospective observational study in tertiary care hospitals.
COVID-19
Coronavirus
Poor outcome
Risk factor
Journal
Emergency radiology
ISSN: 1438-1435
Titre abrégé: Emerg Radiol
Pays: United States
ID NLM: 9431227
Informations de publication
Date de publication:
Aug 2021
Aug 2021
Historique:
received:
20
11
2020
accepted:
19
01
2021
pubmed:
4
2
2021
medline:
23
7
2021
entrez:
3
2
2021
Statut:
ppublish
Résumé
The COVID-19 pandemic is straining the health care systems worldwide. Therefore, health systems should make strategic shifts to ensure that limited resources provide the highest benefit for COVID-19 patients. This study aimed to describe the risk factors associated with poor in-hospital outcomes to help clinicians make better patient care decisions. This retrospective observational study enrolled 176 laboratory-confirmed COVID-19 patients. Demographic characteristics, clinical data, lymphocyte count, CT imaging findings on admission, and clinical outcomes were collected and compared. Two radiologists evaluated the distribution and CT features of the lesions and also scored the extent of lung involvement. The receiver operating characteristic (ROC) curve was used to determine the optimum cutoff point for possible effective variables on patients' outcomes. Multivariable logistic regression models were used to determine the risk factors associated with ICU admission and in-hospital death. Thirty-eight (21.5%) patients were either died or admitted to ICU from a total of 176 enrolled ones. The mean age of the patients was 57.5 ± 16.1 years (males: 61%). The best cutoff point for predicting poor outcomes based on age, CT score, and O The findings indicate that older age, higher CT score, and lower O
Sections du résumé
BACKGROUND
BACKGROUND
The COVID-19 pandemic is straining the health care systems worldwide. Therefore, health systems should make strategic shifts to ensure that limited resources provide the highest benefit for COVID-19 patients.
OBJECTIVE
OBJECTIVE
This study aimed to describe the risk factors associated with poor in-hospital outcomes to help clinicians make better patient care decisions.
MATERIAL AND METHODS
METHODS
This retrospective observational study enrolled 176 laboratory-confirmed COVID-19 patients. Demographic characteristics, clinical data, lymphocyte count, CT imaging findings on admission, and clinical outcomes were collected and compared. Two radiologists evaluated the distribution and CT features of the lesions and also scored the extent of lung involvement. The receiver operating characteristic (ROC) curve was used to determine the optimum cutoff point for possible effective variables on patients' outcomes. Multivariable logistic regression models were used to determine the risk factors associated with ICU admission and in-hospital death.
RESULT
RESULTS
Thirty-eight (21.5%) patients were either died or admitted to ICU from a total of 176 enrolled ones. The mean age of the patients was 57.5 ± 16.1 years (males: 61%). The best cutoff point for predicting poor outcomes based on age, CT score, and O
CONCLUSION
CONCLUSIONS
The findings indicate that older age, higher CT score, and lower O
Identifiants
pubmed: 33534017
doi: 10.1007/s10140-021-01903-8
pii: 10.1007/s10140-021-01903-8
pmc: PMC7856446
doi:
Types de publication
Journal Article
Observational Study
Langues
eng
Sous-ensembles de citation
IM
Pagination
691-697Commentaires et corrections
Type : ErratumIn
Informations de copyright
© 2021. American Society of Emergency Radiology.
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