scholarly journals The Correlation between Skeletal Muscle Index of the L3 Vertebral Body and Malnutrition in Patients with Advanced Lung Cancer

Author(s):  
Xiangliang Liu ◽  
Wei Ji ◽  
Kaiwen Zheng ◽  
Jin Lu ◽  
Lingyu Li ◽  
...  

Abstract Background: By analyzing the L3 skeletal muscle index in patients with advanced lung cancer, we determined whether this index could be an independent predictor of malnutrition in such patients and its role in nutritional assessments.Methods: Retrospective analysis was performed on patients with advanced lung cancer who received medical treatment at the Cancer Center of The First Hospital of Jilin University from January 2017 to July 2017, and relevant data were collated and analyzed. Abdominal CT was used to analyze the L3 skeletal muscle index, and PG-SGA score, body mass index (BMI), and serological indicators were analyzed. According to PG-SGA scores, patients were divided into severe malnutrition (≥9 points), mild to moderate malnutrition (≥3 points and ≤8 points), and no malnutrition (≤2 points) groups. Pearson correlation analysis was conducted between the skeletal muscle index and PG-SGA score, BMI, and laboratory test indices. Univariate and multivariate logistic regression analyses were conducted on the factors related to malnutrition, and a forest plot was drawn to identify malnutrition risk and protection factors.Results:1. The age of patients in the severe malnutrition group, the mild to moderate malnutrition group, and the no malnutrition group significantly differed, with mean ages of 63.46±10.01 years, 60.42±8.76 years, and 55.03±10.40 years, respectively. Furthermore, the NLR of the severe malnutrition group was significantly higher than that of the no malnutrition group, with statistical significance. The difference between the mild to moderate malnutrition group and the no malnutrition group were not statistically significant, with NLRs of 4.07±3.34, 3.09±1.47, and 2.47±0.92, respectively. The L3 skeletal muscle mass indices of patients in the severe malnutrition and mild to moderate malnutrition groups were significantly lower than that of the patients in the no malnutrition group, with statistical significance. The L3 skeletal muscle mass index of patients in the severe malnutrition group, mild to moderate malnutrition group, and no malnutrition group were 27.40±4.25 cm2/m2, 38.19±6.17 cm2/m2, and 47.96±5.02 cm2/m2, respectively.2.The multivariate analysis showed that the L3 skeletal muscle index was an independent risk factor for malnutrition (OR=0.627, p=0.000; OR=0.454, p=0.000).3.The Pearson correlation analysis showed that the PG-SGA score positively correlated with age (r=0.296), but negatively correlated with L3 skeletal muscle mass index (r=-0.857) (P≤0.05). The L3 skeletal muscle mass index also negatively correlated with age (r=-0.240) (P≤0.05).Conclusion:1. The differences in the L3 skeletal muscle index, age, PA, and NLR were statistically significant among patients with advanced lung cancer with different nutritional statuses.2. In the nutritional assessment of patients with lung cancer, the L3 skeletal muscle index was consistent with the PG-SGA.3. The L3 skeletal muscle index is an independent predictor of malnutrition in patients with advanced lung cancer.

BMC Cancer ◽  
2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Xiangliang Liu ◽  
Wei Ji ◽  
Kaiwen Zheng ◽  
Jin Lu ◽  
Lingyu Li ◽  
...  

Abstract Background Studies have shown that the skeletal muscle index at the third lumbar vertebra (L3 SMI) had reasonable specificity and sensitivity in nutritional assessment and prognostic prediction in digestive system cancers, but its performance in lung cancer needs further investigation. Methods A retrospective study was performed on 110 patients with advanced lung cancer. The L3 SMI, the Patient-Generated Subjective Global Assessment score (PG-SGA score), body mass index (BMI), and serological indicators were analyzed. According to PG-SGA scores, patients were divided into severe malnutrition (≥9 points), mild to moderate malnutrition (≥3 points and ≤ 8 points), and no malnutrition (≤2 points) groups. Pearson correlation and logistic regression analysis were adopted to find factors related to malnutrition, and a forest plot was drawn. The receiver operating characteristic (ROC) curve was performed to compare the diagnostic values of malnutrition among factors, which were expressed by the area under curve (AUC). Results 1. The age of patients in the severe malnutrition group, the mild to moderate malnutrition group, and the no malnutrition group significantly differed, with mean ages of 63.46 ± 10.01 years, 60.42 ± 8.76 years, and 55.03 ± 10.40 years, respectively (OR = 1.062, 95%CI: 1.008 ~ 1.118, P = 0.024; OR = 1.100, 95%CI: 1.034 ~ 1.170, P = 0.002). Furthermore, the neutrophil to lymphocyte ratio (NLR) of the severe malnutrition group was significantly higher than that of the no malnutrition group, with statistical significance. The difference between the mild to moderate malnutrition group and the no malnutrition group were not statistically significant, with NLR of 4.07 ± 3.34 and 2.47 ± 0.92, respectively (OR = 1.657,95%CI: 1.036 ~ 2.649, P = 0.035). The L3 SMI of patients in the severe malnutrition and mild to moderate malnutrition groups were significantly lower than that of the patients in the no malnutrition group, with statistical significance. The L3 SMI of patients in the severe malnutrition group, mild to moderate malnutrition group, and no malnutrition group were 27.40 ± 4.25 cm2/m2, 38.19 ± 6.17 cm2/m2, and 47.96 ± 5.02 cm2/m2, respectively (OR = 0.600, 95%CI: 0.462 ~ 0.777, P < 0.001; OR = 0.431, 95%CI: 0.320 ~ 0.581, P < 0.001). 2. The Pearson correlation analysis showed that the PG-SGA score positively correlated with age (r = 0.296, P < 0.05) but negatively correlated with L3 SMI (r = − 0.857, P < 0.05). The L3 SMI was also negatively correlated with age (r = − 0.240, P < 0.05). 3. The multivariate analysis showed that the L3 SMI was an independent risk factor for malnutrition (OR = 0.446, 95%CI: 0.258 ~ 0.773, P = 0.004; OR = 0.289, 95%CI: 0.159 ~ 0.524, P < 0.001). Conclusion 1. The differences in the L3 SMI was statistically significant among advanced lung cancer patients with different nutritional statuses. 2. In the nutritional assessment of patients with lung cancer, the L3 SMI was consistent with the PG-SGA. 3. The L3 SMI is an independent predictor of malnutrition in patients with advanced lung cancer.


2014 ◽  
Vol 54 (3) ◽  
pp. 340-348 ◽  
Author(s):  
Guro B. Stene ◽  
Jorunn L. Helbostad ◽  
Tore Amundsen ◽  
Sveinung Sørhaug ◽  
Harald Hjelde ◽  
...  

Physiotherapy ◽  
2015 ◽  
Vol 101 ◽  
pp. e1069 ◽  
Author(s):  
M. Nakajima ◽  
M. Morishita ◽  
S. Yuguchi ◽  
K. Saito ◽  
T. Matsuo ◽  
...  

2021 ◽  
Vol 13 (1) ◽  
pp. 37-44
Author(s):  
ZBIGNIEW M. OSSOWSKI

Background: The loss of muscle function and reduced mobility levels are the main reasons for the limitations of independence and disability in older people. The main aim of this study was to determine the relationship between the skeletal muscle index and mobility in older women. Material and methods: ‪The study involved 166 older women. Skeletal muscle mass and other body components were determined by bioimpedance using an InBody 720 device. Functional mobility was evaluated with the timed up-and-go test. 30-second chair stand was also used to measure the level of functional strength in lower extremities. Results: ‪The skeletal muscle index was positively correlated with functional mobility (r=-0.22; p=0.00) and 30-second chair stand (r=-0.47; p=0.00). However, the strength of lower extremities was a significantly better parameter in predicting mobility in older women than the skeletal muscle index and skeletal muscle mass. Conclusions: The functional strength of lower extremity muscles and the skeletal muscle index can have a positive effect on functional mobility in older people. The results may be helpful in clinical practice when diagnosing mobility limitations and in the process of programming physical activity of older women aimed at the prevention of sarcopenia.


2015 ◽  
Vol 17 (1) ◽  
pp. 161-170 ◽  
Author(s):  
Maria Consuelo Velazquez-Alva ◽  
Maria Esther Irigoyen Camacho ◽  
Irina Lazarevich ◽  
Jaime Delgadillo Velazquez ◽  
Patricia Acosta Dominguez ◽  
...  

2017 ◽  
Vol 117 (8) ◽  
pp. 1181-1188 ◽  
Author(s):  
Hui-yuan Tian ◽  
Rui Qiu ◽  
Li-peng Jing ◽  
Zhan-yong Chen ◽  
Geng-dong Chen ◽  
...  

AbstractResearches have suggested Mediterranean diet might lower the risk of chronic diseases, but data on skeletal muscle mass (SMM) are limited. This community-based cross-sectional study examined the association between the alternate Mediterranean diet score (aMDS) and SMM in 2230 females and 1059 males aged 40–75 years in Guangzhou, China. General information and habitual dietary information were assessed in face-to-face interviews conducted during 2008–2010 and 3 years later. The aMDS was calculated by summing the dichotomous points for the items of higher intakes of whole grain, vegetables, fruits, legumes, nuts, fish and ratio of MUFA:SFA, lower red meat and moderate ethanol consumption. The SMM of the whole body, limbs, arms and legs were measured using dual-energy X-ray absorptiometry during 2011–2013. After adjusting for potential covariates, higher aMDS was positively associated with skeletal muscle mass index (SMI, SMM/height2, kg/m2) at all of the studied sites in males (all Ptrend<0·05). The multiple covariate-adjusted SMI means were 2·70 % (whole body), 2·65 % (limbs), 2·50 % (arms) and 2·70 % (legs) higher in the high (v. low) category aMDS in males (all P<0·05). In females, the corresponding values were 1·35 % (Ptrend=0·03), 1·05, 0·52 and 1·20 %, (Ptrend>0·05). Age-stratified analyses showed that the favourable associations tended to be more pronounced in the younger subjects aged less than the medians of 59·2 and 62·2 years in females and males (Pinteraction>0·10). In conclusion, the aMDS shows protective associations with SMM in Chinese adults, particularly in male and younger subjects.


2020 ◽  
Vol 16 ◽  
pp. 174550652096200
Author(s):  
Tomohiro Yasuda

Objectives: The purpose of this study was to examine the prediction of skeletal muscle mass and maximum muscle strength using simplified morphology evaluation in young Japanese women from the thigh and calf perspective. Methods: A total of 249 Japanese young women (aged 18–25 years) were used for data analyses in this study. Thigh and calf girths were measured using a tape measure at 50% of thigh length and at 30% proximal of calf length, respectively. Muscle thickness was measured using B-mode ultrasound at the anterior and posterior thigh (at 50% of thigh length) and at the posterior lower leg (at 30% proximal of calf length), respectively. The measurements were carried out on the right side of the body while the participants stood with their elbows extended and relaxed. A stepwise multiple regression analysis (method of increasing and decreasing the variables; criterion set at p < 0.05) was performed for skeletal muscle index (defined by appendicular skeletal muscle mass/height2), handgrip strength, or sit-to-stand test and five variable factors (girth (thigh and calf) and muscle thickness (anterior and posterior thigh and posterior calf)). Results: Unlike the sit-to-stand test, skeletal muscle index or handgrip strength was correlated ( p < 0.001) with the girth or muscle thickness for both thigh and calf. Unlike the sit-to-stand test, the prediction equations for skeletal muscle index and handgrip strength estimation showed significant correlations with multiple regression analysis of data obtained from the calf girth and muscle thickness. In both skeletal muscle index and handgrip strength, calf girth was adopted as a Step 1, respectively. Conclusion: Our results indicated that skeletal muscle index and handgrip strength could be evaluated by the simplified morphology methods, especially that for the calf girth measurement, which may be a good indicator of screening/preventing for sarcopenia in healthy Japanese young women.


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