Chest CT Biomarkers Enhance Risk Stratification in COVID-19 Patients
Overview
This multicenter retrospective study demonstrates that multiparametric chest CT analysis provides incremental prognostic value over clinical data alone for identifying high-risk COVID-19 patients. Key CT biomarkers including pneumonia extension and coronary artery calcium scoring effectively stratify patients by severity and cardiovascular risk.
Background
Chest CT has been widely used during the COVID-19 pandemic due to its high sensitivity for diagnosing SARS-CoV-2 pneumonia and ability to detect complications such as pulmonary embolism. Beyond diagnosis, CT imaging offers prognostic information by quantifying pneumonia extent and attenuation features linked to disease severity and outcomes. Additionally, CT can opportunistically assess comorbidities like cardiovascular disease and tissue quality markers, which are important for risk stratification but often difficult to obtain rapidly in overwhelmed clinical settings.
Data Highlights
Parameter
Measurement/Classification
Pneumonia Extension Score
0 (0% involvement) to 4 (>75% involvement)
Coronary Artery Calcium Score (Agatston)
Low-risk: 0–10; Intermediate-risk: 10–1000; High-risk: ≥1000 or presence of stents/CABG
Oxygen therapy need, orotracheal intubation, death at 30 days
Key Findings
Chest CT pneumonia extension score correlates with COVID-19 disease severity and oxygenation impairment.
Coronary artery calcium scoring on non-contrast chest CT identifies patients at increased cardiovascular risk.
CT biomarkers provide objective assessment of comorbidities such as atherosclerosis and tissue quality alterations.
Multiparametric CT analysis adds prognostic value beyond clinical and laboratory data alone.
CT-based risk stratification is feasible within 72 hours of admission in a multicenter cohort.
Clinical Implications
Incorporating chest CT biomarkers into routine assessment of COVID-19 patients can improve early identification of those at high risk for severe outcomes. This approach facilitates timely clinical decision-making, especially in overwhelmed emergency settings where comprehensive clinical data may be incomplete. CT-derived cardiovascular and tissue quality markers offer valuable, objective insights into patient fragility and comorbidities.
Conclusion
Multiparametric chest CT analysis enhances conventional clinical risk stratification in COVID-19 by providing detailed information on pneumonia severity and cardiovascular risk. This imaging-based phenotyping supports improved management of high-risk patients during the pandemic.
References
Ai et al. 2020 -- Chest CT for COVID-19 Diagnosis and Management
Bernheim et al. 2020 -- Chest CT Findings in COVID-19
Grillet et al. 2020 -- Pulmonary Embolism in COVID-19 Patients
Colombi et al. 2020 -- CT Pneumonia Extension and Outcome
Li et al. 2020 -- CT Features and Oxygenation Impairment
Wynants et al. 2020 -- Prognostic Models for COVID-19
Zhou et al. 2020 -- Comorbidities and COVID-19 Severity
Budoff et al. 2017 -- Coronary Calcium Scoring
Schousboe et al. 2016 -- Vertebral Attenuation and Osteoporosis
Goodpaster et al. 2001 -- Myosteatosis and Functional Impairment
by Anna Palmisano, Chiara Gnasso, Alberto Cereda, Davide Vignale, Riccardo Leone, Valeria Nicoletti, Simone Barbieri, Marco Toselli, Francesco Giannini, Marco Loffi, Gianluigi Patelli, Alberto Monello, Gianmarco Iannopollo, Davide Ippolito, Elisabetta Maria Mancini, Gianluca Pontone, Luigi Vignali, Elisa Scarnecchia, Mario Iannaccone, Lucio Baffoni, Massimiliano Spernadio, Caterina Chiara de Carlini, Sandro Sironi, Claudio Rapezzi, Antonio Esposito