TY - JOUR
T1 - Changes in computed tomography derived muscle and pulmonary tissue in patients hospitalized for COVID-19
T2 - A 12-month follow-up study
AU - COVID CLIMATE Consortium
AU - Gach, Debbie
AU - van Osch, Frits H.M.
AU - van den Bergh, Joop P.
AU - van der Krieken, Thomas E.
AU - Gietema, Hester A.
AU - Peeters, Dré
AU - van Bakel, Sophie I.J.
AU - Schols, Annemie M.W.J.
AU - Beijers, Rosanne J.H.C.G.
AU - van Leer, B.
AU - de Kruif, M. D.
AU - van Kuijk, S. M.J.
AU - Prokop, M.
AU - Schalekamp, S.
AU - van den Borst, B.
AU - Hellemons, M. E.
AU - Stöger, J. L.
AU - Beenen, L. F.M.
AU - Lammertsma, A. A.
AU - Postma, D. F.
AU - Duiverman, M. L.
AU - Slart, R. H.J.A.
AU - Pillay, J.
AU - Mohamed Hoesein, F. A.A.
N1 - Publisher Copyright:
© 2026 The Author(s).
PY - 2026/6
Y1 - 2026/6
N2 - Background: Prolonged muscle loss and persistent pulmonary radiological manifestations have been observed among previously hospitalized COVID-19 patients. This study aimed to investigate the patterns of change and the association between computed tomography (CT)-derived skeletal muscle cross-sectional area (CSA) and the percentage affected pulmonary parenchymal tissue in previously hospitalized COVID-19 patients during the first-year post-discharge.Methods: This single-centre retrospective cohort study included hospitalized COVID-19 patients between February and December 2020. Patients underwent routine chest CT scans at hospital admission, during outpatient clinic visits at three months, and if indicated, twelve months post-discharge. Pectoralis muscle CSA was demarcated manually at the level of the fourth thoracic vertebra and skeletal muscle at the first lumbar vertebra level (L1). A deep learning algorithm was applied to compute the percentage of total affected pulmonary parenchymal tissue.Results: Chest CT scans from 211 patients (mean age 66 ± 12 years, 61% male) were available for analysis between baseline and three months follow-up. For the twelve-month follow-up analyses, scans from 100 patients were available. From baseline to three months, a decrease in mean pectoralis (−1.3 ± 0.5 cm2 (−1.1 ± 1.4%); p = 0.011) and L1 muscle CSA (−3.2 ± 1.5 cm2 (−2.2 ± 1.5%); p < 0.001) was observed. Between three- and twelve months, mean pectoralis and L1 muscle CSA increased (2.3 ± 0.6 cm2 (7.2 ± 1.8%) and 10.2 ± 3.0 cm2 (12.3 ± 3.3%), respectively; p < 0.01), with levels returning to baseline at twelve months. Percentage of affected parenchymal tissue reduced between baseline-three months (−18.4 ± 1.0%; p < 0.001), baseline-twelve months (−21.6 ± 1.3%; p < 0.001), and three- and twelve months follow-up (−1.7 ± 0.3%; p < 0.001), with near-complete resolution by three and twelve months. No significant associations were found between decrements in pectoralis and L1 muscle CSA and improvements in percentage affected parenchymal tissue between baseline and three months. In addition, increases in pectoralis and L1 muscle CSA were not associated with improvements in percentage affected parenchymal tissue between baseline and twelve months, nor between three- and twelve months follow-up.Conclusions: Decreases and increases in CT-derived skeletal muscle CSA occurred independently of improvements in pulmonary parenchymal abnormalities in previously hospitalized COVID-19 patients during the first-year post-discharge.
AB - Background: Prolonged muscle loss and persistent pulmonary radiological manifestations have been observed among previously hospitalized COVID-19 patients. This study aimed to investigate the patterns of change and the association between computed tomography (CT)-derived skeletal muscle cross-sectional area (CSA) and the percentage affected pulmonary parenchymal tissue in previously hospitalized COVID-19 patients during the first-year post-discharge.Methods: This single-centre retrospective cohort study included hospitalized COVID-19 patients between February and December 2020. Patients underwent routine chest CT scans at hospital admission, during outpatient clinic visits at three months, and if indicated, twelve months post-discharge. Pectoralis muscle CSA was demarcated manually at the level of the fourth thoracic vertebra and skeletal muscle at the first lumbar vertebra level (L1). A deep learning algorithm was applied to compute the percentage of total affected pulmonary parenchymal tissue.Results: Chest CT scans from 211 patients (mean age 66 ± 12 years, 61% male) were available for analysis between baseline and three months follow-up. For the twelve-month follow-up analyses, scans from 100 patients were available. From baseline to three months, a decrease in mean pectoralis (−1.3 ± 0.5 cm2 (−1.1 ± 1.4%); p = 0.011) and L1 muscle CSA (−3.2 ± 1.5 cm2 (−2.2 ± 1.5%); p < 0.001) was observed. Between three- and twelve months, mean pectoralis and L1 muscle CSA increased (2.3 ± 0.6 cm2 (7.2 ± 1.8%) and 10.2 ± 3.0 cm2 (12.3 ± 3.3%), respectively; p < 0.01), with levels returning to baseline at twelve months. Percentage of affected parenchymal tissue reduced between baseline-three months (−18.4 ± 1.0%; p < 0.001), baseline-twelve months (−21.6 ± 1.3%; p < 0.001), and three- and twelve months follow-up (−1.7 ± 0.3%; p < 0.001), with near-complete resolution by three and twelve months. No significant associations were found between decrements in pectoralis and L1 muscle CSA and improvements in percentage affected parenchymal tissue between baseline and three months. In addition, increases in pectoralis and L1 muscle CSA were not associated with improvements in percentage affected parenchymal tissue between baseline and twelve months, nor between three- and twelve months follow-up.Conclusions: Decreases and increases in CT-derived skeletal muscle CSA occurred independently of improvements in pulmonary parenchymal abnormalities in previously hospitalized COVID-19 patients during the first-year post-discharge.
UR - https://www.scopus.com/pages/publications/105038351579
U2 - 10.1016/j.clnesp.2026.103291
DO - 10.1016/j.clnesp.2026.103291
M3 - Article
C2 - 41999975
SN - 2405-4577
VL - 73
JO - Clinical Nutrition ESPEN
JF - Clinical Nutrition ESPEN
M1 - 103291
ER -