Prediction of Loss of Muscle Mass in Sarcopenia Using Ultrasonic Diaphragm Excursion

Author:

Zeng Bin1ORCID,He Shaochong1ORCID,Lu Hao2ORCID,Liang Guiyin1ORCID,Ben Xiaosong3ORCID,Zhong Wenzhao4ORCID,Zhang Mingsheng1ORCID,Wang Hao2ORCID

Affiliation:

1. Department of Physical Medicine and Rehabilitation, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China

2. Department of Anesthesiology, The First Affiliated Hospital, Jinan University, Guangzhou 510630, China

3. Department of Thoracic Surgery, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China

4. Guangdong Lung Cancer Institute, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China

Abstract

Background. The diagnosis of sarcopenia is based on the mass and function of appendicular skeletal muscle. It is not clear whether diaphragm excursion is related to muscle mass loss. We try to fill the gap by measuring ultrasonic diaphragm excursion during quiet breathing (Dq) and forced deep breathing (Df) and test whether they could predict the muscle mass loss in sarcopenia. Methods. The subjects are recruited from the elderly patients diagnosed with pulmonary nodules in community physical examination. According to the definition, the subjects were divided into group A (who did not meet the diagnostic criteria for muscle mass loss in sarcopenia) and group B (who met the criteria). Participants were assessed for ultrasonic diaphragm excursion, pulmonary function, and cardiopulmonary exercise testing. Logistic regression was used to assess the correlation between right diaphragm excursion and skeletal muscle mass, and receiver-operating characteristic curve (ROC) was applied to determine the best threshold. Results. We recruited 64 elderly participants: 52 in group A (39 males) and 12 in group B (8 males). The Df in group A were higher than in group B (6.02 (5.44–6.60) vs. 4.31 (3.53–5.09) cm, P = 0.008 ). The difference also exists in FVC, FEV1.0, PEF, Pimax, WRmax, and VO2max, but neither in Dq. Logical regression showed that Df was negatively related to muscle mass (B = −0.525, OR = 0.591 (0.378–0.926), P = 0.022 ), even after adjusted age. Based on ROC, a cutoff value of 5.27 cm (AUC = 0.7783, P = 0.0028 ) was selected, and Df ≤ 5.27 cm indicates the increase in odds of existing muscle mass loss. Conclusion. Ultrasonic diaphragm excursion in forced deep breath is helpful for predicting muscle mass loss in sarcopenia. The trial is registered with ChiCTR1800019742.

Funder

Medical Research Foundation of Guangdong Province

Publisher

Hindawi Limited

Subject

Radiology, Nuclear Medicine and imaging

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3