Cargando…
Factors Predicting Outcome in Intensive Care Unit-Admitted COVID-19 Patients: Using Clinical, Laboratory, and Radiologic Characteristics
PURPOSE: 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. METHOD: We retrospectively evaluated the medical records and CT images of the ICU-admitted COVID-1...
Autores principales: | Abkhoo, Aminreza, Shaker, Elaheh, Mehrabinejad, Mohammad-Mehdi, Azadbakht, Javid, Sadighi, Nahid, Salahshour, Faeze |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8285200/ https://www.ncbi.nlm.nih.gov/pubmed/34306751 http://dx.doi.org/10.1155/2021/9941570 |
Ejemplares similares
-
Chest CT Scan Features to Predict COVID-19 Patients' Outcome and Survival
por: Mehrabi Nejad, Mohammad-Mehdi, et al.
Publicado: (2022) -
Spinal arteriovenous malformations causing Foix-Alajouanine syndrome, a case report and review of the literature
por: Sadighi, Nahid, et al.
Publicado: (2021) -
Is target sign (bull’s eye appearance) associated with adverse outcomes in COVID-19 patients? A case series and literature review
por: Mehrabi Nejad, Mohammad-Mehdi, et al.
Publicado: (2022) -
Clinical, laboratory, and radiological characteristics of COVID-19-infected children admitted to pediatric intensive care unit: a single-center experience
por: Ahmed, Heba Mostafa, et al.
Publicado: (2021) -
Clinical and chest CT features as a predictive tool for COVID-19 clinical progress: introducing a novel semi-quantitative scoring system
por: Salahshour, Faeze, et al.
Publicado: (2021)