Prognostic Role of the Pectoralis Musculature in Patients with COVID-19. A Multicenter Study.


Journal

Academic radiology
ISSN: 1878-4046
Titre abrégé: Acad Radiol
Pays: United States
ID NLM: 9440159

Informations de publication

Date de publication:
01 2023
Historique:
received: 27 04 2022
revised: 04 05 2022
accepted: 05 05 2022
pubmed: 7 6 2022
medline: 11 2 2023
entrez: 6 6 2022
Statut: ppublish

Résumé

To evaluate the impact of low skeletal muscle mass in patients with COVID-19 on relevant outcomes like 30-day mortality, need for intubation and need for intensive care unit admission. For this study, data from six centers were acquired. The acquired sample comprises 1138 patients. There were 547 women (48.1%) and 591 men (51.9%) with a mean age of 54.5 ± 18.8 years; median age, 55 years; range, 18-84 years). In every case, thoracic CT without intravenous application of contrast medium was performed. The following parameters of the pectoralis muscles were estimated: muscle area as a sum of the bilateral areas of the pectoralis major and minor muscles, muscle density, muscle index (PMI) (pectoralis muscle area divided by the patient's body height square) as a ratio pectoralis major and minor muscles divided by the patient's body height Overall, 220 patients (19.33%) were admitted to the intensive care unit. In 171 patients (15.03%), mechanical lung ventilation was performed. Finally, 154 patients (13.53%) died within the observation time of 30-day. All investigated parameters of pectoralis muscle were lower in the patients with unfavorable courses of Covid-19. All pectoralis muscle parameters were associated with 30-day mortality in multivariate analyses adjusted for age and sex: pectoralis muscle area, HR = 0.93 CI 95% (0.91-0.95) p < 0.001; pectoralis muscle density, HR = 0.94 CI 95% (0.93-0.96) p < 0.001; pectoralis muscle index, HR = 0.79 CI 95% (0.75-0.85) p < 0.001, pectoralis muscle gauge, HR = 0.995 CI 95% (0.99-0.996) p < 0.001. in COVID-19, survivors have larger areas and higher index, gauge and density of the pectoralis muscles in comparison to nonsurvivors. However, the analyzed muscle parameters cannot be used for prediction of disease courses.

Identifiants

pubmed: 35667979
pii: S1076-6332(22)00299-9
doi: 10.1016/j.acra.2022.05.003
pmc: PMC9108033
pii:
doi:

Types de publication

Multicenter Study Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

77-82

Informations de copyright

Copyright © 2022 The Association of University Radiologists. Published by Elsevier Inc. All rights reserved.

Auteurs

Alexey Surov (A)

Department of Radiology and Nuclear Medicine, Otto-von-Guericke University Magdeburg (A.S., H.K., M.P.). Electronic address: alexey.surov@med.ovgu.de.

Hakan Kardas (H)

Department of Radiology and Nuclear Medicine, Otto-von-Guericke University Magdeburg (A.S., H.K., M.P.).

Giulia Besutti (G)

Radiology Unit, Azienda USL-IRCCS di Reggio Emilia, Reggio Emilia, Italy (G.B., M.P., M.O.).

Massimo Pellegrini (M)

Radiology Unit, Azienda USL-IRCCS di Reggio Emilia, Reggio Emilia, Italy (G.B., M.P., M.O.).

Marta Ottone (M)

Radiology Unit, Azienda USL-IRCCS di Reggio Emilia, Reggio Emilia, Italy (G.B., M.P., M.O.).

Mehmet Ruhi Onur (MR)

Department of Radiology, University of Hacettepe School of Medicine, Ankara, Turkey (M.R.O., F.A., A.G.E.).

Firat Atak (F)

Department of Radiology, University of Hacettepe School of Medicine, Ankara, Turkey (M.R.O., F.A., A.G.E.).

Ahmet Gurkan Erdemir (AG)

Department of Radiology, University of Hacettepe School of Medicine, Ankara, Turkey (M.R.O., F.A., A.G.E.).

Elif Hocaoglu (E)

Department of Radiology, University of Health Sciences, Bakirkoy Dr. Sadi Konuk Research and Training Hospital, Radiology (E.H., O.Y., E.I.).

Ömer Yıldız (Ö)

Department of Radiology, University of Health Sciences, Bakirkoy Dr. Sadi Konuk Research and Training Hospital, Radiology (E.H., O.Y., E.I.).

Ercan Inci (E)

Department of Radiology, University of Health Sciences, Bakirkoy Dr. Sadi Konuk Research and Training Hospital, Radiology (E.H., O.Y., E.I.).

Eda Cingöz (E)

İstanbul Medical Faculty Radiology Department, Istanbul Turkey (E.C., M.C., M.D.).

Mehmet Cingöz (M)

İstanbul Medical Faculty Radiology Department, Istanbul Turkey (E.C., M.C., M.D.); Basaksehir Cam and Sakura City Hospital Radiology Department (M.C.).

Memduh Dursun (M)

İstanbul Medical Faculty Radiology Department, Istanbul Turkey (E.C., M.C., M.D.).

İnan Korkmaz (İ)

Hatay Mustafa Kemal University, Faculty of Medicine, Department of Radiology, Antakya, Hatay, Turkey (I.K., C.O.).

Çağrı Orhan (Ç)

Hatay Mustafa Kemal University, Faculty of Medicine, Department of Radiology, Antakya, Hatay, Turkey (I.K., C.O.).

Alexandra Strobel (A)

Institute of Medical Epidemiology, Biostatistics, and Informatics, Profile Area Clinical Studies & Biostatistics, Martin-Luther-University Halle-Wittenberg, Halle, Germany (A.S., A.W.).

Andreas Wienke (A)

Institute of Medical Epidemiology, Biostatistics, and Informatics, Profile Area Clinical Studies & Biostatistics, Martin-Luther-University Halle-Wittenberg, Halle, Germany (A.S., A.W.).

Maciej Pech (M)

Department of Radiology and Nuclear Medicine, Otto-von-Guericke University Magdeburg (A.S., H.K., M.P.).

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