Establishment of a nomogram prognostic model for risk factors of comprehensive complication index after radical gastrectomy for gastric cancer / 中华临床营养杂志

Objective:To explore the independent risk factors of comprehensive complication index (CCI) ≥ 26.2 after radical gastrectomy for gastric cancer and to establish and verify a nomogram model.Methods:Clinical data of patients undergoing radical gastrectomy for gastric cancer in Jinling Hospital from September 2017 to March 2019 were retrospectively collected. CCI score of each patient was obtained using CCI calculator. Potential risk factors of CCI ≥ 26.2 were screened by multivariate logistic regression analysis and a nomogram model was established. Besides, the nomogram model was evaluated for differentiation, consistency and clinical usefulness using area under the curve, calibration curves and decision curve, respectively.Results:A total of 237 patients undergoing radical gastrectomy were included, of whom 38 (16.0%) had a CCI ≥ 26.2. Multivariate logistic regression analysis showed that the third lumbar skeletal muscle mass index ( OR = 3.98, P = 0.001), the third lumbar fat mass index ( OR = 3.38, P = 0.002) and age ≥ 65 years( OR = 2.50, P = 0.018) were independent risk factors for postoperative CCI ≥ 26.2. The established nomogram model showed good differentiation, prediction consistency and clinical benefit (AUC = 0.753). Conclusion:The nomogram model based on 3 independent risk factors has good predictive performance and clinical benefit for CCI ≥ 26.2 after radical gastrectomy, which can be applied and promoted in clinical practice to a certain extent.

Effects of body mass index, appendicular skeletal muscle mass index and serum lipid levels on the risk of tumor progression in patients with high-risk renal clear cell carcinoma / 中华临床营养杂志

Objective:To evaluate the potential effects of serum lipid levels, appendicular skeletal muscle mass index (ASMI) and body mass index (BMI), together with its dynamic changes, on tumor progression in renal clear cell carcinoma patients, so as to inform body weight management.Methods:This prospective cohort study included a total of 100 patients with high-risk clear cell renal cell carcinoma. Serum lipid levels were detected, ASMI and BMI were measured using bioelectrical impedance analysis and the dynamic changes of BMI were tracked. The effects of BMI, ASMI and serum lipid levels on tumor progression within 2 years were explored.Results:Patients with normal BMI and low ASMI had 5.248 (95% CI: 1.946 to 14.153, P = 0.001) times higher risk of tumor progression than those who were overweight or obese. For every 0.1-unit increase in pre-operative HDL-C, the risk of tumor progression decreased by 0.771 (95% CI: 0.631 to 0.942, P = 0.011) times. Patients who experienced more than 5% decrease in BMI compared with baseline had 5.165 (95% CI: 1.735 to 15.370, P = 0.003) times the progression risk of patients whose BMI changed within ±5% from baseline. Conclusions:The advantage of obese clear cell carcinoma patients over normal-weight patients in tumor progression-free survival may be influenced by ASMI, pre-onset involuntary weight loss and lipid levels. Therefore, patient weight management should not merely focus on absolute BMI but tailor to individual characteristics, including cancer stage, body composition and metabolic status.

Differences of body composition and physical strength among Japanese and Thai older adults living in Chiang Mai, Thailand: an inter-ethnic cross-sectional study

BACKGROUND@#The number of adults aged over 65 years is rapidly increasing in several Southeast Asian countries. Muscle mass decreases with age, leading to sarcopenia. The primary objective of this study was to determine whether differences exist in the body composition and physical strength, according to ethnicity, among community-dwelling Japanese and Thai older adults living in Chiang Mai Province, Thailand.@*METHODS@#A survey was conducted in February and March 2019. Japanese and Thai adults aged ≥ 60 years living in Chiang Mai Province were recruited through community clubs. Participants completed a self-administered questionnaire that enabled collection of data on age, sex, educational background, marital status, annual income, current medical conditions, smoking and alcohol consumption, and exercise habits. Measurements were collected on height, weight, body composition, blood pressure, hand grip, and walking speed for 6 m. Body composition was measured using a standing-posture 8-electrode multifrequency bioimpedance analysis analyzer. Hand grip of each hand was measured with the patient in the standing position using a digital grip dynamometer. Multivariable logistic regression was used to determine factors associated with skeletal muscle mass index (SMI).@*RESULTS@#Of the total 119 participants, 47 were Japanese (26 men, 21 women) and 72 were Thai (16 men, 56 women). The prevalence of a low SMI was 3/26 (12%), 1/21 (5%), 6/16 (38%), and 5/56 (9%) among Japanese men, Japanese women, Thai men, and Thai women, respectively. The prevalence of low muscle strength was 2/26 (8%), 2/21 (10%), 3/16 (19%), and 13/56 (23%) among Japanese men, Japanese women, Thai men, and Thai women, respectively. There were significant differences between ethnic groups in body mass index for both sexes, percentage body fat in women, SMI in men, and average grip strength in men. Ethnic group, sex, age, and body mass index were independent predictors of SMI.@*CONCLUSIONS@#Ethnicity had a clinically important effect on body composition and physical strength among older Japanese and Thai adults living in a similar environment.

Risk factors of cirrhosis combined with sarcopenia and their impact on clinical outcomes / 中华肝脏病杂志

Objective@#To study the occurrence of sarcopenia in patients with liver cirrhosis, and to explore their risk factors and impact on clinical outcomes.@*Methods@#199 hospitalized cases with liver cirrhosis were collected for nutritional risk screening, anthropometric measurement and blood biochemical examination. The body composition analysis was measured based on the skeletal muscle content of the four limbs to calculate the appendicular skeletal muscle mass index (ASMI). Patients were divided into sarcopenia and non-sarcopenia group and the relevant indexes of both groups were compared to screen for factors affecting the occurrence of sarcopenia. During the follow-up of 48 months, the survival and complications of the both groups were compared. Statistical analysis was performed using t-test, χ2 test and logistic regression analysis in terms of different data.@*Results@#The incidence of sarcopenia in cirrhosis was 36.7%, with the highest prevalence in patients with recurrent hepatic encephalopathy (62.5%), followed by patients with abdominal ascites / pleural effusion (37.6%). The incidence of sarcopenia was significantly higher in those with nutritional risk than in those without nutritional risk (P < 0.05). However, even among those without nutritional risk, 14.8% had combined sarcopenia. The body mass index (BMI), upper arm muscle circumference (AMC), and body cell mass (BCM) of the sarcopenia group were lower than those of the non-sarcopenia group (P < 0.05), and the edema index (ECW/TBW) was higher than the latter (P < 0.05). Multivariate analysis showed that age, gender, BMI, and complications of hepatic encephalopathy were the main influencing factors of cirrhosis combined with sarcopenia (P < 0.05). During the follow-up period, the sarcopenia group had a higher mortality rate than non-sarcopenia goup (P < 0.05), and the incidence of recurrent abdominal ascites/pleural effusion, hepatic encephalopathy, and infection was also significantly elevated (P < 0.05).@*Conclusion@#Sarcopenia is one of the manifestations of malnutrition in patients with liver cirrhosis, which increases the risk of mortality and other complications, and has adverse impact on the clinical outcome. Additionally, older age, male sex, low BMI and recurrent hepatic encephalopathy has higher risk for developing sarcopenia.

New Skeletal Muscle Mass Index in Diagnosis of Sarcopenia

BACKGROUND: We sought to develop a novel index based on the skeletal muscle mass that reflects the change of quality of life (QOL), and is the most appropriate index for the body composition of the elderly in Korea. Whether lower extremity skeletal muscle mass index (LESMI) is an appropriate novel new index to diagnose patients with sarcopenia was also evaluated. A cut-off value for each index was reported to facilitate the diagnosis of patients with sarcopenia in a Korean population. METHODS: We used the 5th Korean National Health and Nutrition Examination Survey data from 2010. We analyzed 409 elderly patients, including 231 men and 178 women, aged ≥65 years. Patients were diagnosed by calculating their skeletal muscle index based on the skeletal muscle mass measured using dual energy X-ray absorptiometry. Obesity and osteoporosis were used to screen data and EuroQOL-5 dimension as a health questionnaire. RESULTS: The prevalence of sarcopenia in each index was obtained based on its cut-off value for diagnosing sarcopenia. There was a significant difference between the obesity rate of elderly patients diagnosed with sarcopenia and those who were not based on each index. There was no significant difference in the prevalence of osteoporosis between the groups. Sarcopenia diagnosis based on the LESMI was significantly correlated with QOL. CONCLUSIONS: LESMI, a novel index based on skeletal muscle mass, reflects changes in QOL and is appropriate for the body composition of elderly people in Korea.

Analysis of association between appendicular skeletal muscle mass index and main anthropometric parameters among overweight and obese adults in China / 中华预防医学杂志

Objective@#To investigate the associations between the appendicular skeletal muscle mass index and main anthropometric parameters, and to provide clues for preventing the reduction of skeletal muscle mass among overweight and obese adults in China.@*Methods@#1 488 volunteered participants who resided in Beijing longer than one year, between 22 and 55 years old, with self-report BMI ≥24 kg/m2 were recruited from April to May 2014. 171 participants whose BMI ≤24 kg/m2 or with organic diseases at the first physical examination were excluded, finally 1 317 overweight/obese participants (male and female were 507, and 810, respectively) were enrolled into the present study. After measuring the anthropometric parameters and body composition by the DXA, Pearson correlation analysis and multiple linear regression models were used to analyze the associations between the appendicular skeletal muscle mass index and main anthropometric parameters.@*Results@#The average age of males and females was (35.6±8.4) and (38.2±9.4) years old, respectively. The females' mean levels of body fat percentage, BMI, waist circumference, hip circumference, and bone mineral density were (41.59±4.14)%, (29.00±3.75) kg/m2, (92.56±9.00) cm, (101.74±6.75) cm, and (1.20±0.10) g/cm2, respectively; and the males' mean levels were (34.22±4.61)%, (30.07±4.12) kg/m2, (99.63±9.49) cm, (102.93±7.28) cm, and (1.28±0.11) g/cm2, respectively. The mean level of appendicular skeletal muscle mass and skeletal muscle mass index in males were (26.98±3.88), and (8.96±1.02) kg, respectively, which were significantly higher than it in females ((18.57±2.61), and (7.26±0.83) kg, respectively) (P<0.001). For male, the correlation coefficients of skeletal muscle mass index with BMI, waist circumference, hip circumference, body fat percentage and bone mineral density were 0.814, 0.601, 0.637, 0.558, and 0.434, respectively; for female, the correlation coefficients of skeletal muscle mass index with BMI, waist circumference, hip circumference, body fat rate and bone mineral density were 0.761, 0.534, 0.585, 0.610, and 0.304, respectively. The correlations were statistically significant (P<0.001). Multiple linear regression analysis showed that the skeletal muscle mass index of male decreased with the increase of age (β=-0.01, 95%CI:-0.01-0.00) and body fat percentage (β=-0.13, 95%CI:-0.15--0.12) (P<0.05), while increased with the increase of BMI (β=0.31, 95%CI: 0.29-0.32) and bone mineral density (β=0.54, 95%CI: 0.10-1.01) (P<0.05). The skeletal muscle mass index of female decreased with the increase of age (β=-0.01, 95%CI:-0.01-0.00) and body fat percentage (β=-0.12, 95%CI:-0.14--0.12) (P<0.05), while increased with the increase of BMI (β=0.26, 95%CI: 0.25-0.28) and hip circumference (β=0.01, 95%CI: 0.00-0.02) (P<0.05).@*Conclusion@#The skeletal muscle mass index of male was higher than it of female. For male, the skeletal muscle mass index might be associated with age, BMI, body fat percentage and bone mineral density. While for female, the skeletal muscle mass index might be associated with age, BMI, body fat percentage and hip circumference.