ArticleAnnals of translational medicine2020
Chest CT imaging features and severity scores as biomarkers for prognostic prediction in patients with COVID-19.
Article in Annals of translational medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 2 of them syntheses that pooled it.
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Who cites it
25 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Computed tomography severity score as a predictor of disease severity and mortality in COVID-19 patients: A systematic review and meta-analysis.Journal of medical imaging and radiation sciences · 2023Pooled it
- A meta-analysis on the risk factors adjusted association between cardiovascular disease and COVID-19 severity.BMC public health · 2021Pooled it
- The Impact of CT Reconstruction Parameters on Emphysema Index Quantification, HU-Based Measurements, and Goddard Score in COPD Assessment: A Prospective Study.International journal of biomedical imaging · 2026Article
- Patient Consent and The Right to Notice and Explanation of AI Systems Used in Health Care.The American journal of bioethics : AJOB · 2025Article
- Article
- A nomogram to predict severe COVID-19 patients with increased pulmonary lesions in early days.Frontiers in medicine · 2024Article
- Article
- Novel Risks of Unfavorable Corticosteroid Response in Patients with Mild-to-Moderate COVID-19 Identified Using Artificial Intelligence-Assisted Analysis of Chest Radiographs.Journal of clinical medicine · 2023Article
- A Systematic Review of the Relationship between Chest CT Severity Score and Laboratory Findings and Clinical Parameters in COVID-19 Pneumonia.Diagnostics (Basel, Switzerland) · 2023Review
- Article
- Review
- The relationship between C-reactive protein and levels of various cytokines in patients with COVID-19: A systematic review and correlation analysis.Health science reports · 2022Article
- Detection of COVID-19 and its pulmonary stage using Bayesian hyperparameter optimization and deep feature selection methods.Expert systems · 2022Article
- Chest CT Severity Score and Systemic Inflammatory Biomarkers as Predictors of the Need for Invasive Mechanical Ventilation and of COVID-19 Patients' Mortality.Diagnostics (Basel, Switzerland) · 2022Article
- Impact of X-radiation in the management of COVID-19 disease.World journal of radiology · 2022Review
- A novel reliability-based regression model to analyze and forecast the severity of COVID-19 patients.BMC medical informatics and decision making · 2022Article
- Chest X-ray Does Not Predict the Risk of Endotracheal Intubation and Escalation of Treatment in COVID-19 Patients Requiring Noninvasive Respiratory Support.Journal of clinical medicine · 2022Article
- Predicting the aggravation of coronavirus disease-19 pneumonia using chest computed tomography scans.PloS one · 2022Article
- Predicting the Disease Severity of Virus Infection.Advances in experimental medicine and biology · 2022Article
- Comparing the first and the second waves of COVID-19 in Italy: differences in epidemiological features and CT findings using a semi-quantitative score.Emergency radiology · 2021Observational
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundCoronavirus disease 2019 (COVID-19) has become a pandemic. Few studies have explored the role of chest computed tomography (CT) features and severity scores for prognostic prediction. In this study, we aimed to investigate the role of chest CT severity score and imaging features in the prediction of the prognosis of COVID-19 patients.
methodsA total of 134 patients (62 recovered and 72 deceased patients) with confirmed COVID-19 were enrolled. The clinical, laboratory, and chest CT (316 scans) data were retrospectively reviewed. Demographics, symptoms, comorbidities, and temporal changes of laboratory results, CT features, and severity scores were compared between recovered and deceased groups using the Mann-Whitney U test and logistic regression to identify the risk factors for poor prognosis.
resultsMedian age was 48 and 58 years for recovered and deceased patients, respectively. More patients had at least one comorbidity in the deceased group than the recovered group (60%
conclusionsSex (male), older age (>60 years), elevated neutrophil, IL-2, IL-6 level, and total CT scores (≥16) were independent risk factors for poor prognosis in patients with COVID-19. Temporal changes of chest CT features and severity scores could be valuable for early identification of severe cases and eventually reducing the mortality rate of COVID-19.
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