Factors Predicting Outcome in Intensive Care Unit-Admitted COVID-19 Patients: Using Clinical, Laboratory, and Radiologic Characteristics.
Journal
Critical care research and practice
ISSN: 2090-1305
Titre abrégé: Crit Care Res Pract
Pays: Egypt
ID NLM: 101539357
Informations de publication
Date de publication:
2021
2021
Historique:
received:
23
03
2021
revised:
23
05
2021
accepted:
23
06
2021
entrez:
26
7
2021
pubmed:
27
7
2021
medline:
27
7
2021
Statut:
epublish
Résumé
To investigate the factors contributing to mortality in coronavirus disease 2019 (COVID-19) patients admitted in the intensive care unit (ICU) and design a model to predict the mortality rate. We retrospectively evaluated the medical records and CT images of the ICU-admitted COVID-19 patients who had an on-admission chest CT scan. We analyzed the patients' demographic, clinical, laboratory, and radiologic findings and compared them between survivors and nonsurvivors. Among the 121 enrolled patients (mean age, 62.2 ± 14.0 years; male, 82 (67.8%)), 41 (33.9%) survived, and the rest succumbed to death. The most frequent radiologic findings were ground-glass opacity (GGO) (71.9%) with peripheral (38.8%) and bilateral (98.3%) involvement, with lower lobes (94.2%) predominancy. The most common additional findings were cardiomegaly (63.6%), parenchymal band (47.9%), and crazy-paving pattern (44.4%). Univariable analysis of radiologic findings showed that cardiomegaly ( A combination of underlying diseases, vital signs, and radiologic factors might have prognostic value for mortality rate prediction in ICU-admitted COVID-19 patients.
Identifiants
pubmed: 34306751
doi: 10.1155/2021/9941570
pmc: PMC8285200
doi:
Types de publication
Journal Article
Langues
eng
Pagination
9941570Informations de copyright
Copyright © 2021 Aminreza Abkhoo et al.
Déclaration de conflit d'intérêts
The authors declare no conflicts of interest.
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