Analysis of the optimal psoas muscle mass index cut‐off values, as measured by computed tomography, for the diagnosis of loss of skeletal muscle mass in Japanese people

2020 ◽  
Vol 50 (6) ◽  
pp. 715-725 ◽  
Author(s):  
Masatsugu Ohara ◽  
Goki Suda ◽  
Megumi Kimura ◽  
Osamu Maehara ◽  
Tomoe Shimazaki ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Skeletal Muscle ◽  
Muscle Mass ◽  
Skeletal Muscle Mass ◽  
Psoas Muscle ◽  
Japanese People

Simple Age Specific Cutoff Value for Sarcopenia Evaluated by Computed Tomography

2017 ◽  
Vol 71 (3-4) ◽  
pp. 157-163 ◽  
Author(s):  
Ji Sun Kim ◽  
Won Young Kim ◽  
Hyun Kyung Park ◽  
Myung Chun Kim ◽  
Woong Jung ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Skeletal Muscle ◽  
Muscle Mass ◽  
Skeletal Muscle Mass ◽  
Psoas Muscle ◽  
Health Screening ◽  
Healthy Adults ◽  
Cutoff Value ◽  
Cutoff Values ◽  
The Mean

Objective: Until now, cutoff values of low skeletal muscle mass using computed tomography (CT) were driven by optimal stratification to predict mortality in cancer patients. The aim of the present study was to investigate the simple, age-specific, cutoff value of low skeletal muscle mass by CT in healthy adults. Design: This is a retrospective, observational, single-center study. Setting: This study was performed in the health screening department of a university-affiliated hospital during a 10-year period. Patients: Medical records of 1,422 patients presenting to the health screening department were reviewed. Cross-sectional area of psoas muscle at the level of the third lumbar vertebra on abdominal CT was measured and adjusted by height (mm2/m2). This value (psoas muscle index [PMI]) was assumed to represent whole skeletal muscle mass. We divided the patients according to age, sex, and defined cutoff value of low skeletal muscle mass as 2 SDs below the mean. Intervention: None. Measurements and Main Results: Among 1,422 patients, 550 patients (38.6%) were male. The mean PMI was 896.60 (mm2/m2) for men and 570.54 (mm2/m2) for women. Cutoff values of PMI for men were 592.3 mm2/m2 for 20-39 years, 474.0 mm2/m2 for 40-49 years, 422.2 mm2/m2 for 50-59 years, 374.4 mm2/m2 for 60-69 years, and 331.5 mm2/m2 for 70-89 years. The values for women were 399.9 mm2/m2 for 20-39 years, 287.7 mm2/m2 for 40-49 years, 242.5 mm2/m2 for 50-59 years, 220.4 mm2/m2 for 60-69 years, and 147.6 mm2/m2 for 70-89 years. Conclusions: Cutoff values of low skeletal muscle mass using CT differed in healthy adults as age increased. Further studies on the effect of sarcopenia intervention using this cutoff value are needed.

Validity of measuring psoas muscle mass index for assessing sarcopenia in patients with gynecological cancer

2020 ◽  
Author(s):  
Ryutaro Yamada ◽  
Yukiharu Todo ◽  
Hiroyuki Kurosu ◽  
Kaoru Minowa ◽  
Tomohiko Tsuruta ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Skeletal Muscle ◽  
Confidence Interval ◽  
Muscle Mass ◽  
Skeletal Muscle Mass ◽  
Psoas Muscle ◽  
Dual Energy ◽  
X Ray ◽  
Index Measurement ◽  
Skeletal Muscle Mass Index

Abstract Objective The current study evaluated the performance of psoas muscle mass measurement for detecting low skeletal muscle mass quantity. Methods A sample of 82 consecutive patients with gynecological cancers was examined using computed tomography and dual energy X-ray absorptiometric scan before treatment. Skeletal muscle mass index was measured by dual energy X-ray absorptiometric scan and its cut-off value was set at 5.40 kg/m2 for detecting low skeletal muscle mass. Psoas muscle mass index was manually measured with cross-sectional computed tomography imaging at the level of L3 by six evaluators. Results Low skeletal muscle mass index was identified in 23 (28.0%) patients. Two-way analysis of variance confirmed a significant main effect of skeletal muscle mass index on mean psoas muscle mass index values (P < 0.0001). A receiver operating characteristic curve obtained from a total of 492 psoas muscle mass index data points gathered from six evaluators produced an area under the curve value of 0.697 (95% confidence interval 0.649–0.744) and a cut-off value of 3.52 cm2/m2, with sensitivity of 79.0% and specificity of 59.6%. Using the cut-off value, the kappa coefficient for evaluating diagnostic agreement between skeletal muscle mass index (low vs. normal) and psoas muscle mass index (low vs. normal) was 0.308 (95% confidence interval 0.225–0.392), suggesting poor agreement. Fleiss’ kappa produced a coefficient of 0.418 (95% confidence interval 0.362–0.473), suggesting moderate agreement. Conclusions Although relevance between skeletal muscle mass index and psoas muscle mass index was confirmed, intensity of relevance between them was weak. Psoas muscle mass index measurement should be subordinated to skeletal muscle mass index measurement for detection of low skeletal muscle mass.

scholarly journals Feasibility of computed tomography-based assessment of skeletal muscle mass in hemodialysis patients

2020 ◽  
Author(s):  
Tomoaki Takata ◽  
Aki Motoe ◽  
Katsumi Tanida ◽  
Sosuke Taniguchi ◽  
Ayami Ida ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Skeletal Muscle ◽  
Muscle Mass ◽  
Skeletal Muscle Mass ◽  
Hemodialysis Patients

Proposal for new diagnostic criteria for low skeletal muscle mass based on computed tomography imaging in Asian adults

Nutrition ◽  
2016 ◽  
Vol 32 (11-12) ◽  
pp. 1200-1205 ◽  
Author(s):  
Yuhei Hamaguchi ◽  
Toshimi Kaido ◽  
Shinya Okumura ◽  
Atsushi Kobayashi ◽  
Ahmed Hammad ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Skeletal Muscle ◽  
Diagnostic Criteria ◽  
Muscle Mass ◽  
Skeletal Muscle Mass ◽  
Computed Tomography Imaging ◽  
Tomography Imaging

SUN-P201: Contrast-Enhancement Influences Skeletal Muscle Density, but Not Skeletal Muscle Mass, Measurements on Computed Tomography

2017 ◽  
Vol 36 ◽  
pp. S128 ◽  
Author(s):  
J. Van Vugt ◽  
R. Coebergh van den Braak ◽  
H.-J. Schippers ◽  
K. Veen ◽  
S. Levolger ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Skeletal Muscle ◽  
Contrast Enhancement ◽  
Muscle Mass ◽  
Skeletal Muscle Mass ◽  
Mass Measurements ◽  
Muscle Density

scholarly journals Loss of skeletal muscle mass affects the incidence of minimal hepatic encephalopathy: A case control study

2020 ◽  
Author(s):  
Masakuni Tateyama ◽  
Hideaki Naoe ◽  
Motohiko Tanaka ◽  
Kentaro Tanaka ◽  
Satoshi Narahara ◽  
...  
Keyword(s):  
Skeletal Muscle ◽  
Hepatic Encephalopathy ◽  
Mass Loss ◽  
Muscle Mass ◽  
Odds Ratio ◽  
Skeletal Muscle Mass ◽  
Psoas Muscle ◽  
Minimal Hepatic Encephalopathy ◽  
Muscle Area ◽  
Muscle Mass Loss

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.

scholarly journals Low muscle mass assessed by psoas muscle area is associated with clinical adverse events in elderly patients with heart failure

PLoS ONE ◽  
2021 ◽  
Vol 16 (2) ◽  
pp. e0247140
Author(s):  
Takehiro Funamizu ◽  
Yuji Nagatomo ◽  
Mike Saji ◽  
Nobuo Iguchi ◽  
Hiroyuki Daida ◽  
...  
Keyword(s):  
Heart Failure ◽  
Skeletal Muscle ◽  
Adverse Events ◽  
Elderly Patients ◽  
Muscle Mass ◽  
Skeletal Muscle Mass ◽  
Psoas Muscle ◽  
Composite Endpoint ◽  
Left Ventricular Ejection ◽  
Muscle Area

Background Acute decompensated heart failure (ADHF) is a growing healthcare burden with increasing prevalence and comorbidities due to progressive aging society. Accumulating evidence suggest that low skeletal muscle mass has a negative impact on clinical outcome in elderly adult population. We sought to determine the significance of psoas muscle area as a novel index of low skeletal muscle mass in elderly patients with ADHF. Methods In this single-center retrospective observational study, we reviewed consecutive 865 elderly participants (65 years or older) who were hospitalized for ADHF and 392 were available for analysis (79 years [74–85], 56% male). Cross-sectional areas of psoas muscle at the level of fourth lumbar vertebra were measured by computed tomography and normalized by the square of height to calculate psoas muscle index (PMI, cm2/m2). Results Dividing the patients by the gender-specific quartile value (2.47 cm2/m2 for male and 1.68 cm2/m2 for female), we defined low PMI as the lowest gender-based quartile of PMI. Multiple linear regression analysis revealed female sex, body mass index (BMI), and E/e’, but not left ventricular ejection fraction, were independently associated with PMI. Kaplan-Meier analysis showed low PMI was associated with higher rate of composite endpoint of all-cause death and ADHF re-hospitalization (P = 0.033). Cox proportional hazard model analysis identified low PMI, but not BMI, was an independent predictor of the composite endpoint (Hazard ratio: 1.52 [1.06–2.16], P = 0.024). Conclusions PMI predicted future clinical adverse events in elderly patients with ADHF. Further studies are needed to assess whether low skeletal muscle mass can be a potential therapeutic target to improve the outcome of ADHF.

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