ArticleAcademic radiology2022
Chest CT Characteristics are Strongly Predictive of Mortality in Patients with COVID-19 Pneumonia: A Multicentric Cohort Study.
Article in Academic radiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Artificial intelligence-powered chest computed tomography analysis unveils prognostic insights for COVID-19 mortality among prevalent hemodialysis patients.Kidney research and clinical practice · 2026Article
- Long-term chest CT abnormalities up to 4.5 years after COVID-19 hospitalization and their association with dyspnea and fatigue: a prospective cohort study.Respiratory research · 2026Article
- Incidence of secondary pericardial effusions associated with different etiologies: a comprehensive review of literature.Journal of cardiothoracic surgery · 2025Review
- Predicting Acute Cardiovascular Complications in COVID-19: Insights from a Specialized Cardiac Referral Department.Medical science monitor : international medical journal of experimental and clinical research · 2024Article
- Admission Predictors of Mortality in Hospitalized COVID-19 Patients-A Serbian Cohort Study.Journal of clinical medicine · 2022Article
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24 authors.
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Abstract
RATIONALE AND
objectivesThe novel coronavirus (COVID-19) has presented a significant and urgent threat to global health and there has been a need to identify prognostic factors in COVID-19 patients. The aim of this study was to determine whether chest computed tomography (CT) characteristics had any prognostic value in patients with COVID-19. MATERIALS AND
methodsA retrospective analysis of COVID-19 patients who underwent a chest CT-scan was performed in four medical centers. The prognostic value of chest CT results was assessed using a multivariable survival analysis with the Cox model. The characteristics included in the model were the degree of lung involvement, ground glass opacities, nodular consolidations, linear consolidations, a peripheral topography, a predominantly inferior lung involvement, pleural effusion, and crazy paving. The model was also adjusted on age, sex, and the center in which the patient was hospitalized. The primary endpoint was 30-day in-hospital mortality. A second model used a composite endpoint of admission to an intensive care unit or 30-day in-hospital mortality.
resultsA total of 515 patients with available follow-up information were included. Advanced age, a degree of pulmonary involvement ≥50% (Hazard Ratio 2.25 [95% CI: 1.378-3.671], p = 0.001), nodular consolidations and pleural effusions were associated with lower 30-day in-hospital survival rates. An exploratory subgroup analysis showed a 60.6% mortality rate in patients over 75 with ≥50% lung involvement on a CT-scan.
conclusionChest CT findings such as the percentage of pulmonary involvement ≥50%, pleural effusion and nodular consolidation were strongly associated with 30-day mortality in COVID-19 patients. CT examinations are essential for the assessment of severe COVID-19 patients and their results must be considered when making care management decisions.
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