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

2021 ◽  
Vol 2021 ◽  
pp. 1-6
Author(s):  
Bin Zeng ◽  
Shaochong He ◽  
Hao Lu ◽  
Guiyin Liang ◽  
Xiaosong Ben ◽  
...  

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.

2019 ◽  
Vol 37 (4_suppl) ◽  
pp. 107-107
Author(s):  
Yota Shimoda ◽  
Takashi Ogata ◽  
Shinsuke Nagasawa ◽  
Yuta Kumazu ◽  
Tsutomu Hayashi ◽  
...  

107 Background: Several reports revealed that preoperative presence of sarcopenia was related with poor prognosis for esophageal cancer. However, the influence of muscle mass loss during perioperative period on prognosis is unknown. The alternation of muscle mass during perioperative period is attractive topic as surgeon have chance to intervene for maintaining muscle mass in perioperative care. The aim of this study was to assess the influence of loss of muscle after esophagectomy to discharge on prognosis. Methods: This study retrospectively analyzed 150 consecutive patients with esophageal and gastroesophageal junction cancer, who underwent the open right thoraco−abdominal approach esophagectomy, pathologically diagnosed as squamous cell carcinoma or adenocarcinoma, between September 2011 and June 2015. Patients who had pathologically diagnosed as T4 or stageⅣ according to the UICC 7th edition TNM classification were excluded. This study investigated the influence of muscle mass loss after esophagectomy to discharge on prognosis. Body composition was analyzed using the Tanita MC−190EM bioelectrical impedance analyzer, evaluated within 1 week before surgery and at discharge. The primary end−point is over−all survival after esophagectomy. Results: The median % muscle mass loss was 4.38% (range −3.3 to +18.8). Patients were divided into two groups based on the % muscle mass loss by cut−off 4.38 (group A: less % muscle mass loss, group B: more % muscle mass loss). N stage (0/1/2/3) was 39/28/6/2 in group A, and 26/23/19/7 in group B. The rate of 2/3 was significantly higher in group B. Postoperative complication rate was 31% (23/75) in group A, and 48% (36/75) in group B. The complication rate was significantly higher in group B. The 3−years survival rate was 89.2% in group A, and 70.9% in group B. Group B was significantly worse for over−all survival than group A (p = 0.033). Multivariate Cox regression analysis showed that the patients who had % muscle mass loss over 4.38 (p = 0.045; HR 2.008; HR 95% CI 1.014−3.977), T2/3 (p = 0.001; HR 3.649; HR 95% CI 1.660−8.019) associated with worse over−all survival. Conclusions: Our study found correlation between loss of muscle after esophagectomy to discharge and worse outcomes.


Obesity ◽  
2018 ◽  
Vol 26 (8) ◽  
pp. 1255-1260 ◽  
Author(s):  
Gary R. Hunter ◽  
David R. Bryan ◽  
Juliano H. Borges ◽  
M. David Diggs ◽  
Stephen J. Carter

2020 ◽  
Author(s):  
Masakuni Tateyama ◽  
Hideaki Naoe ◽  
Motohiko Tanaka ◽  
Kentaro Tanaka ◽  
Satoshi Narahara ◽  
...  

Abstract Background: Sarcopenia is a syndrome characterized by progressive and systemic decreases in skeletal muscle mass and muscle strength. The influence or prognosis of various liver diseases in this condition have been widely investigated, but little is known about whether sarcopenia and/or muscle mass loss are related to minimal hepatic encephalopathy.Methods: To clarify the relationship between minimal hepatic encephalopathy and sarcopenia and/or muscle mass loss in patients with liver cirrhosis. Ninety-nine patients with liver cirrhosis were enrolled. Minimal hepatic encephalopathy was diagnosed by a neuropsychiatric test. Skeletal mass index was calculated by dividing muscle area at the third lumbar vertebra by the square of height in meters.Results: MHE was detected in 48 cases (48.5%) and sarcopenia in 6 cases (6.1%). Patients were divided into two groups, with or without MHE. Comparing groups, no significant differences were seen in serum ammonia concentration or rate of sarcopenia. Skeletal muscle index was smaller in patients with minimal hepatic encephalopathy (46.4 cm2/m2) than in those without (51.2 cm2/m2, P = 0.027). Skeletal muscle index represented a predictive factor related to minimal hepatic encephalopathy (<50 cm2/m2; odds ratio 0.300, P = 0.002).Conclusions: Muscle mass loss was related to minimal hepatic encephalopathy, although sarcopenia was not. Measurement of muscle mass loss might be useful to predict MHE.


2020 ◽  
Author(s):  
Masakuni Tateyama ◽  
Hideaki Naoe ◽  
Motohiko Tanaka ◽  
Kentaro Tanaka ◽  
Satoshi Narahara ◽  
...  

Abstract Background: Sarcopenia is a syndrome characterized by progressive and systemic decreases in skeletal muscle mass and muscle strength. The influence or prognosis of various liver diseases in this condition have been widely investigated, but little is known about whether sarcopenia and/or muscle mass loss are related to minimal hepatic encephalopathy (MHE).Methods: To clarify the relationship between MHE and sarcopenia and/or muscle mass loss in patients with liver cirrhosis.Methods: Ninety-nine patients with liver cirrhosis were enrolled. MHE was diagnosed by a neuropsychiatric test. Skeletal mass index (SMI) and Psoas muscle index (PMI) were calculated by dividing skeletal muscle area and psoas muscle area at the third lumbar vertebra by the square of height in meters, respectively, to evaluate muscle volume.Results: This study enrolled 99 patients (61 males, 38 females). MHE was detected in 48 cases (48.5%) and sarcopenia in 6 cases (6.1%). Patients were divided into two groups, with or without MHE. Comparing groups, no significant differences were seen in serum ammonia concentration or rate of sarcopenia. SMI was smaller in patients with MHE (46.4 cm2/m2) than in those without (51.2 cm2/m2, P = 0.027). Similarly, PMI was smaller in patients with MHE (4.24 cm2/m2) than in those without (5.53 cm2/m2, P = 0.003). Skeletal muscle volume, which is represented by SMI or PMI was a predictive factor related to MHE (SMI ≥ 50 cm2/m2; odds ratio 0.300, P = 0.002, PMI ≥ 4.3 cm2/m2; odds ratio 0.192, P = 0.001).Conclusions: Muscle mass loss was related to minimal hepatic encephalopathy, although sarcopenia was not. Measurement of muscle mass loss might be useful to predict MHE.


2019 ◽  
Vol 10 (4) ◽  
pp. 803-813 ◽  
Author(s):  
Sophie Kurk ◽  
Petra Peeters ◽  
Rebecca Stellato ◽  
B. Dorresteijn ◽  
Pim Jong ◽  
...  

2020 ◽  
Vol 158 (6) ◽  
pp. S-863
Author(s):  
Shinya Uemura ◽  
Takuji Iwashita ◽  
Hironao Ichikawa ◽  
Yuhei Iwasa ◽  
Naoki Mita ◽  
...  

Nutrition ◽  
2017 ◽  
Vol 38 ◽  
pp. 70-73 ◽  
Author(s):  
Hidetaka Wakabayashi ◽  
Rimiko Takahashi ◽  
Naoko Watanabe ◽  
Hideyuki Oritsu ◽  
Yoshitaka Shimizu

Sign in / Sign up

Export Citation Format

Share Document