1. CT-derived Chest Muscle Metrics for Outcome Prediction in Patients with COVID-19
- Author
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Claudio Bnà, Luca Alessandro Carbonaro, Angelo Vanzulli, Elisa D'Ascoli, Valeria Tombini, Domenico Albano, Roberto Arioli, Carmelo Messina, Luca Maria Sconfienza, Pietro Danna, Giovanni Mauri, Alexis Elias Malavazos, Claudia De Berardinis, Simone Schiaffino, Antonio Bruno, Salvatore Gitto, Francesco Secchi, Zeno Falaschi, Roberto Rizzati, Ilaria Vicentin, Lorenzo Monfardini, Gianmarco Della Pepa, Andrea Cozzi, Serena Carriero, Alessio Paschè, Alessandro Carriero, Francesco Sardanelli, and Domenico Zagaria
- Subjects
Male ,medicine.medical_specialty ,Sarcopenia ,Pleural effusion ,Logistic regression ,030218 nuclear medicine & medical imaging ,law.invention ,03 medical and health sciences ,0302 clinical medicine ,Interquartile range ,law ,Predictive Value of Tests ,Internal medicine ,medicine ,Humans ,Radiology, Nuclear Medicine and imaging ,Muscle, Skeletal ,Original Research ,Aged ,Retrospective Studies ,Receiver operating characteristic ,business.industry ,SARS-CoV-2 ,Area under the curve ,COVID-19 ,Odds ratio ,Middle Aged ,medicine.disease ,Intensive care unit ,Confidence interval ,Italy ,030220 oncology & carcinogenesis ,Female ,Radiography, Thoracic ,business ,Tomography, X-Ray Computed - Abstract
Background Lower muscle mass is a known predictor of unfavorable outcome, but its prognostic impact on COVID-19 patients is unknown. Purpose To investigate the contribution of CT-derived muscle status in predicting clinical outcomes in COVID-19 patients. Materials and Methods Clinical/laboratory data and outcomes (intensive care unit [ICU] admission and death) were retrospectively retrieved for patients with reverse transcriptase polymerase chain reaction-confirmed COVID-19, who underwent chest CT on admission in four hospitals in Northern Italy from February 21 to April 30, 2020. Extent and type of pulmonary involvement, mediastinal lymphadenopathy, and pleural effusion were assessed. Cross-sectional areas and attenuation of paravertebral muscles were measured on axial CT images at T5 and T12 vertebral level. Multivariable linear and binary logistic regression, including calculation odds ratios (OR) with 95% confidence intervals (CIs), were used to build four models to predict ICU admission and death, tested and compared using receiver operating characteristic curve (ROC) analysis. Results A total 552 patients (364 men; median age 65 years, interquartile range 54-75) were included. In a CT-based model, lower-than-median T5 paravertebral muscle area showed the highest ORs for ICU admission (OR 4.8, 95% CI 2.7-8.5; P
- Published
- 2021