TY - JOUR
T1 - CT-derived chest muscle metrics for outcome prediction in patients with COVID-19
AU - Schiaffino, Simone
AU - Albano, Domenico
AU - Cozzi, Andrea
AU - Messina, Carmelo
AU - Arioli, Roberto
AU - Bnà, Claudio
AU - Bruno, Antonio
AU - Carbonaro, Luca A.
AU - Carriero, Alessandro
AU - Carriero, Serena
AU - Danna, Pietro S.C.
AU - D’Ascoli, Elisa
AU - de Berardinis, Claudia
AU - della Pepa, Gianmarco
AU - Falaschi, Zeno
AU - Gitto, Salvatore
AU - Malavazos, Alexis E.
AU - Mauri, Giovanni
AU - Monfardini, Lorenzo
AU - Paschè, Alessio
AU - Rizzati, Roberto
AU - Secchi, Francesco
AU - Vanzulli, Angelo
AU - Tombini, Valeria
AU - Vicentin, Ilaria
AU - Zagaria, Domenico
AU - Sardanelli, Francesco
AU - Sconfienza, Luca M.
N1 - Publisher Copyright:
© RSNA, 2021
PY - 2021/8
Y1 - 2021/8
N2 - Background: Lower muscle mass is a known predictor of unfavorable outcomes, but its prognostic impact on patients with COVID-19 is unknown. Purpose: To investigate the contribution of CT-derived muscle status in predicting clinical outcomes in patients with COVID-19. Materials and Methods: Clinical or laboratory data and outcomes (intensive care unit [ICU] admission and death) were retrospectively retrieved for patients with reverse transcriptase polymerase chain reaction–confirmed SARS-CoV-2 infection, who underwent chest CT on admission in four hospitals in Northern Italy from February 21 to April 30, 2020. The extent and type of pulmonary involvement, mediastinal lymphadenopathy, and pleural effusion were assessed. Cross-sectional areas and attenuation by paravertebral muscles were measured on axial CT images at the T5 and T12 vertebral level. Multivariable linear and binary logistic regression, including calculation of odds ratios (ORs) with 95% CIs, were used to build four models to predict ICU admission and death, which were tested and compared by using receiver operating characteristic curve analysis. Results: A total of 552 patients (364 men and 188 women; median age, 65 years [interquartile range, 54–75 years]) were included. In a CT-based model, lower-than-median T5 paravertebral muscle areas showed the highest ORs for ICU admission (OR, 4.8; 95% CI: 2.7, 8.5; P < .001) and death (OR, 2.3; 95% CI: 1.0, 2.9; P = .03). When clinical variables were included in the model, lower-than-median T5 paravertebral muscle areas still showed the highest ORs for both ICU admission (OR, 4.3; 95%: CI: 2.5, 7.7; P < .001) and death (OR, 2.3; 95% CI: 1.3, 3.7; P = .001). At receiver operating characteristic analysis, the CT-based model and the model including clinical variables showed the same area under the receiver operating characteristic curve (AUC) for ICU admission prediction (AUC, 0.83; P = .38) and were not different in terms of predicting death (AUC, 0.86 vs AUC, 0.87, respectively; P = .28). Conclusion: In hospitalized patients with COVID-19, lower muscle mass on CT images was independently associated with intensive care unit admission and in-hospital mortality.
AB - Background: Lower muscle mass is a known predictor of unfavorable outcomes, but its prognostic impact on patients with COVID-19 is unknown. Purpose: To investigate the contribution of CT-derived muscle status in predicting clinical outcomes in patients with COVID-19. Materials and Methods: Clinical or laboratory data and outcomes (intensive care unit [ICU] admission and death) were retrospectively retrieved for patients with reverse transcriptase polymerase chain reaction–confirmed SARS-CoV-2 infection, who underwent chest CT on admission in four hospitals in Northern Italy from February 21 to April 30, 2020. The extent and type of pulmonary involvement, mediastinal lymphadenopathy, and pleural effusion were assessed. Cross-sectional areas and attenuation by paravertebral muscles were measured on axial CT images at the T5 and T12 vertebral level. Multivariable linear and binary logistic regression, including calculation of odds ratios (ORs) with 95% CIs, were used to build four models to predict ICU admission and death, which were tested and compared by using receiver operating characteristic curve analysis. Results: A total of 552 patients (364 men and 188 women; median age, 65 years [interquartile range, 54–75 years]) were included. In a CT-based model, lower-than-median T5 paravertebral muscle areas showed the highest ORs for ICU admission (OR, 4.8; 95% CI: 2.7, 8.5; P < .001) and death (OR, 2.3; 95% CI: 1.0, 2.9; P = .03). When clinical variables were included in the model, lower-than-median T5 paravertebral muscle areas still showed the highest ORs for both ICU admission (OR, 4.3; 95%: CI: 2.5, 7.7; P < .001) and death (OR, 2.3; 95% CI: 1.3, 3.7; P = .001). At receiver operating characteristic analysis, the CT-based model and the model including clinical variables showed the same area under the receiver operating characteristic curve (AUC) for ICU admission prediction (AUC, 0.83; P = .38) and were not different in terms of predicting death (AUC, 0.86 vs AUC, 0.87, respectively; P = .28). Conclusion: In hospitalized patients with COVID-19, lower muscle mass on CT images was independently associated with intensive care unit admission and in-hospital mortality.
UR - https://www.scopus.com/pages/publications/85108184510
U2 - 10.1148/radiol.2021204141
DO - 10.1148/radiol.2021204141
M3 - Article
SN - 0033-8419
VL - 300
SP - E328-E336
JO - Radiology
JF - Radiology
IS - 2
ER -