26 47

Cited 2 times in

Thoracic skeletal muscle quantification: low muscle mass is related with worse prognosis in idiopathic pulmonary fibrosis patients

Authors
 Sung Woo Moon  ;  Ji Soo Choi  ;  Sang Hoon Lee  ;  Kyung Soo Jung  ;  Ji Ye Jung  ;  Young Ae Kang  ;  Moo Suk Park  ;  Young Sam Kim  ;  Joon Chang  ;  Song Yee Kim 
Citation
 RESPIRATORY RESEARCH, Vol.20(1) : 35, 2019 
Journal Title
 RESPIRATORY RESEARCH 
ISSN
 1465-9921 
Issue Date
2019
MeSH
Adult ; Aged ; Aged, 80 and over ; Female ; Humans ; Idiopathic Pulmonary Fibrosis/diagnosis ; Idiopathic Pulmonary Fibrosis/mortality ; Idiopathic Pulmonary Fibrosis/physiopathology ; Male ; Middle Aged ; Muscle Strength/physiology ; Muscle, Skeletal/pathology ; Muscle, Skeletal/physiopathology ; Prognosis ; Retrospective Studies ; Sarcopenia/diagnosis ; Sarcopenia/mortality ; Sarcopenia/physiopathology ; Survival Rate
Keywords
Computed tomography ;  Idiopathic pulmonary fibrosis ; Mortality ; Sarcopenia ;  Skeletalmuscle
Abstract
BACKGROUND: Sarcopenia can contribute to negative outcomes in patients with various lung diseases. However, whether sarcopenia affects prognosis in patients with idiopathic pulmonary fibrosis (IPF) has not been reported. Simple measures of muscle mass, derived from chest computed tomography (CT), are increasingly being used to identify patients with sarcopenia. We hypothesized that skeletal muscle mass could be a predictor of prognosis in IPF patients. METHODS: We retrospectively evaluated 180 patients diagnosed with IPF between January 2010 and December 2015 at a tertiary care hospital in South Korea. We measured thoracic muscle volume by using the cross-sectional area (CSA) of the pectoralis, paraspinal, serratus, and latissimus muscles at the 4th vertebral region (T4CSA) and the erector spinae muscle (ESMCSA) at the 12th vertebral region. CT scans at the time of diagnosis were used for analysis and respective CSA were divided by height squared to normalize for stature. Survival times were estimated with the Kaplan-Meier method and compared with the log-rank test. Multivariate Cox proportional hazards models were performed to investigate relationships between clinical parameters and mortality. RESULTS: Male patients in the lowest quartile of T4CSA divided by height squared (m2) (T4MI) and in the lowest quartile of ESMCSA divided by height squared (m2) (T12MI) were more likely to have higher Gender-Age-Physiology Index scores (T4MI, 3.3 ± 1.3 vs 4.0 ± 1.6, P = 0.012; T12MI, 3.2 ± 1.3 vs 4.1 ± 1.6, P = 0.002). Male patients in the lowest quartile of T4MI exhibited a significantly lower survival rate (P = 0.035). After multivariate Cox proportional hazards analysis, T4MI was a significant risk factor for all-cause mortality (HR, 0.955; 95% CI, 0.913-0.998; P = 0.041), whereas T12MI was not (HR, 0.980; 95% CI, 0.856-1.121; P = 0.766). CONCLUSIONS: Low skeletal mass normalized for stature at the level of 4th vertebrae which can be acquired by quantifying thoracic skeletal muscle on single-slice axial chest CT, may be a strong risk factor for all-cause mortality in patients with IPF. TRIAL REGISTRATION: The research protocol was approved by the Institutional Review Board of Severance Hospital, South Korea (IRB No.4-2018-0454).
Files in This Item:
T201902067.pdf Download
DOI
10.1186/s12931-019-1001-6
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Internal Medicine (내과학교실) > 1. Journal Papers
Yonsei Authors
Kang, Young Ae(강영애) ORCID logo https://orcid.org/0000-0002-7783-5271
Kim, Song Yee(김송이) ORCID logo https://orcid.org/0000-0001-8627-486X
Kim, Young Sam(김영삼) ORCID logo https://orcid.org/0000-0001-9656-8482
Moon, Sung Woo(문성우) ORCID logo https://orcid.org/0000-0001-9917-9802
Park, Moo Suk(박무석) ORCID logo https://orcid.org/0000-0003-0820-7615
Lee, Sang Hoon(이상훈) ORCID logo https://orcid.org/0000-0002-7706-5318
Chang, Joon(장준) ORCID logo https://orcid.org/0000-0003-4542-6841
Jung, Kyung Soo(정경수) ORCID logo https://orcid.org/0000-0003-1604-8730
Jung, Ji Ye(정지예) ORCID logo https://orcid.org/0000-0003-1589-4142
Choi, Ji Soo(최지수) ORCID logo https://orcid.org/0000-0003-2716-6775
URI
https://ir.ymlib.yonsei.ac.kr/handle/22282913/170306
사서에게 알리기
  feedback

qrcode

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

Browse