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Integrated assessment of computed tomography density in pectoralis and erector spinae muscles as a prognostic biomarker for coronavirus disease 2019.
Nakagawara, Kensuke; Shiraishi, Yusuke; Chubachi, Shotaro; Tanabe, Naoya; Maetani, Tomoki; Asakura, Takanori; Namkoong, Ho; Tanaka, Hiromu; Shimada, Takashi; Azekawa, Shuhei; Otake, Shiro; Fukushima, Takahiro; Watase, Mayuko; Terai, Hideki; Sasaki, Mamoru; Ueda, Soichiro; Kato, Yukari; Harada, Norihiro; Suzuki, Shoji; Yoshida, Shuichi; Tateno, Hiroki; Yamada, Yoshitake; Jinzaki, Masahiro; Hirai, Toyohiro; Okada, Yukinori; Koike, Ryuji; Ishii, Makoto; Kimura, Akinori; Imoto, Seiya; Miyano, Satoru; Ogawa, Seishi; Kanai, Takanori; Fukunaga, Koichi.
Affiliation
  • Nakagawara K; Division of Pulmonary Medicine, Department of Internal Medicine, Keio University School of Medicine, Tokyo, Japan.
  • Shiraishi Y; Department of Respiratory Medicine, Graduate School of Medicine, Kyoto University, Kyoto, Japan.
  • Chubachi S; Division of Pulmonary Medicine, Department of Internal Medicine, Keio University School of Medicine, Tokyo, Japan. Electronic address: bachibachi472000@z6.keio.jp.
  • Tanabe N; Department of Respiratory Medicine, Graduate School of Medicine, Kyoto University, Kyoto, Japan. Electronic address: ntana@kuhp.kyoto-u.ac.jp.
  • Maetani T; Department of Respiratory Medicine, Graduate School of Medicine, Kyoto University, Kyoto, Japan.
  • Asakura T; Division of Pulmonary Medicine, Department of Internal Medicine, Keio University School of Medicine, Tokyo, Japan; Department of Clinical Medicine (Laboratory of Bioregulatory Medicine), Kitasato University School of Pharmacy, Tokyo, Japan; Department of Respiratory Medicine, Kitasato University, Ki
  • Namkoong H; Department of Infectious Diseases, Keio University School of Medicine, Tokyo, Japan.
  • Tanaka H; Division of Pulmonary Medicine, Department of Internal Medicine, Keio University School of Medicine, Tokyo, Japan.
  • Shimada T; Division of Pulmonary Medicine, Department of Internal Medicine, Keio University School of Medicine, Tokyo, Japan.
  • Azekawa S; Division of Pulmonary Medicine, Department of Internal Medicine, Keio University School of Medicine, Tokyo, Japan.
  • Otake S; Division of Pulmonary Medicine, Department of Internal Medicine, Keio University School of Medicine, Tokyo, Japan.
  • Fukushima T; Division of Pulmonary Medicine, Department of Internal Medicine, Keio University School of Medicine, Tokyo, Japan.
  • Watase M; Division of Pulmonary Medicine, Department of Internal Medicine, Keio University School of Medicine, Tokyo, Japan.
  • Terai H; Division of Pulmonary Medicine, Department of Internal Medicine, Keio University School of Medicine, Tokyo, Japan.
  • Sasaki M; Internal Medicine, JCHO (Japan Community Health Care Organization) Saitama Medical Center, Saitama, Japan.
  • Ueda S; Internal Medicine, JCHO (Japan Community Health Care Organization) Saitama Medical Center, Saitama, Japan.
  • Kato Y; Department of Respiratory Medicine, Juntendo University Faculty of Medicine and Graduate School of Medicine, Tokyo, Japan.
  • Harada N; Department of Respiratory Medicine, Juntendo University Faculty of Medicine and Graduate School of Medicine, Tokyo, Japan.
  • Suzuki S; Department of Respiratory Medicine, Saitama City Hospital, Saitama, Japan.
  • Yoshida S; Department of Respiratory Medicine, Saitama City Hospital, Saitama, Japan.
  • Tateno H; Department of Respiratory Medicine, Saitama City Hospital, Saitama, Japan.
  • Yamada Y; Department of Radiology, Keio University School of Medicine, Tokyo, Japan.
  • Jinzaki M; Department of Radiology, Keio University School of Medicine, Tokyo, Japan.
  • Hirai T; Department of Respiratory Medicine, Graduate School of Medicine, Kyoto University, Kyoto, Japan.
  • Okada Y; Department of Statistical Genetics, Osaka University Graduate School of Medicine, Suita, Japan; Department of Genome Informatics, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan; Laboratory for Systems Genetics, RIKEN Center for Integrative Medical Sciences, Kanagawa, Japan.
  • Koike R; Medical Innovation Promotion Center, Tokyo Medical and Dental University, Tokyo, Japan.
  • Ishii M; Division of Pulmonary Medicine, Department of Internal Medicine, Keio University School of Medicine, Tokyo, Japan; Department of Respiratory Medicine, Nagoya University Graduate School of Medicine, Nagoya, Japan.
  • Kimura A; Institute of Research, Tokyo Medical and Dental University, Tokyo, Japan.
  • Imoto S; Division of Health Medical Intelligence, Human Genome Center, The Institute of Medical Science, The University of Tokyo, Tokyo, Japan.
  • Miyano S; M&D Data Science Center, Tokyo Medical and Dental University, Tokyo, Japan.
  • Ogawa S; Department of Pathology and Tumor Biology, Kyoto University, Kyoto, Japan.
  • Kanai T; Division of Gastroenterology and Hepatology, Department of Internal Medicine, Keio University School of Medicine, Tokyo, Japan.
  • Fukunaga K; Division of Pulmonary Medicine, Department of Internal Medicine, Keio University School of Medicine, Tokyo, Japan.
Clin Nutr ; 43(3): 815-824, 2024 03.
Article in En | MEDLINE | ID: mdl-38350289
ABSTRACT
BACKGROUND &

AIMS:

Muscle quantification using chest computed tomography (CT) is a useful prognostic biomarker for coronavirus disease 2019 (COVID-19). However, no studies have evaluated the clinical course through comprehensive assessment of the pectoralis and erector spinae muscles. Therefore, we compared the impact of the areas and densities of these muscles on COVID-19 infection outcome.

METHODS:

This multicenter retrospective cohort study was conducted by the COVID-19 Task Force. A total of 1410 patients with COVID-19 were included, and data on the area and density of the pectoralis and erector spinae muscles on chest CT were collected. The impact of each muscle parameter on the clinical outcome of COVID-19 was stratified according to sex. The primary outcome was the percentage of patients with severe disease, including those requiring oxygen supplementation and those who died. Additionally, 167 patients were followed up for changes in muscle parameters at three months and for the clinical characteristics in case of reduced CT density.

RESULTS:

For both muscles, low density rather than muscle area was associated with COVID-19 severity. Regardless of sex, lower erector spinae muscle density was associated with more severe disease than pectoralis muscle density. The muscles were divided into two groups using the receiver operating characteristic curve of CT density, and the population was classified into four (Group A high CT density for both muscles, Group B low CT density for pectoralis and high for erector spinae muscle. Group C high CT density for pectoralis and low for erector spinae muscle, Group D low CT density for both muscles). In univariate analysis, Group D patients exhibited worse outcomes than Group A (OR 2.96, 95% CI 2.03-4.34 in men; OR 3.02, 95% CI 2.66-10.4 in women). Multivariate analysis revealed that men in Group D had a significantly more severe prognosis than those in Group A (OR 1.82, 95% CI 1.16-2.87). Moreover, Group D patients tended to have the highest incidence of other complications due to secondary infections and acute kidney injury during the clinical course. Longitudinal analysis of both muscle densities over three months revealed that patients with decreased muscle density over time were more likely to have severe cases than those who did not.

CONCLUSIONS:

Muscle density, rather than muscle area, predicts the clinical outcomes of COVID-19. Integrated assessment of pectoralis and erector spinae muscle densities demonstrated higher accuracy in predicting the clinical course of COVID-19 than individual assessments.
Subject(s)
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Pectoralis Muscles / COVID-19 Type of study: Clinical_trials / Observational_studies / Prognostic_studies / Risk_factors_studies Limits: Female / Humans / Male Language: En Journal: Clin Nutr Year: 2024 Document type: Article Affiliation country: Japón Country of publication: Reino Unido

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Pectoralis Muscles / COVID-19 Type of study: Clinical_trials / Observational_studies / Prognostic_studies / Risk_factors_studies Limits: Female / Humans / Male Language: En Journal: Clin Nutr Year: 2024 Document type: Article Affiliation country: Japón Country of publication: Reino Unido