Visceral Fat Index Research Articles

Association between menopause, body composition, and nonalcoholic fatty liver disease: A prospective cohort in northern China

BackgroundThe association between menopause, changes in body composition, and nonalcoholic fatty liver disease is not clear, and there is a lack of weight management strategies for perimenopausal women from the perspective of preventing nonalcoholic fatty liver disease. MethodsA total of 1316 postmenopausal and 3049 premenopausal women in the Kailuan cohort in China between 2006 and 2017 were enrolled and followed up till 2021. Cox regression models, including the causal mediation analyses, were used to estimate the association between menopause and nonalcoholic fatty liver disease and the potential mediation effect of changes in body composition. We also explored the impact of weight changes on the correlation between menopause and nonalcoholic fatty liver disease. ResultsWomen who experienced menopause had a higher risk of nonalcoholic fatty liver disease than premenopausal women (9-year cumulative incidence: 56.87 % vs. 48.80 %, adjusted hazard ratio = 1.219, 95 % confidence interval: 1.088–1.365). The nine-year cumulative incidence of nonalcoholic fatty liver disease was higher among overweight/obese postmenopausal women (67.24 % vs. 45.74 %, P < 0.001) and those with abdominal obesity (63.36 % vs. 49.69 %, P < 0.001); however, the hazard ratio of menopause for nonalcoholic fatty liver disease was more evident in women with a body mass index under 23.0 kg/m2 (hazard ratio = 1.434, 95 % confidence interval: 1.168–1.759) and those with normal waist circumference (hazard ratio = 1.362, 95 % confidence interval: 1.129–1.643), which could partially be explained by the visceral fat index (7.09 % and 7.35 % mediation, respectively). Weight loss of 3 % or more or reduction in waist circumference by 5 % or more was associated with a 31.1 % reduction (95 % confidence interval, 20.8 %–40.0 %) or a 14.2 % reduction (95 % confidence interval, 1.1 %–25.6 %) in the risk of nonalcoholic fatty liver disease among the premenopausal women. For postmenopausal women, weight gain of 3 % or more was associated with an increased risk of nonalcoholic fatty liver disease, especially in individuals with a body mass index under 23.0 kg/m2. ConclusionMenopause was associated with a higher risk of nonalcoholic fatty liver disease, partially by increasing visceral fat. Controlling weight in perimenopausal women may reduce the risk.

Low skeletal muscle density assessed by abdominal computerized tomography predicts outcome in children with chronic kidney disease.

Skeletal muscle loss and abnormal fat distribution are predictors of poor clinical outcomes in adults with chronic kidney disease (CKD). However, the relationship between body composition (muscle mass and adipose tissue) and prognosis in children with CKD has not been well elucidated. The retrospective single-center study enrolled children with CKD and healthy group who underwent an abdominal Computerized tomography (CT) examination and compared the body composition of the third lumbar spine (L3) between the two groups. We defined the primary outcome as hemodialysis, peritoneal dialysis, kidney transplantation, or death. Logistic regression analysis was applied to assess the connection between low skeletal muscle density (SMD) and clinical and demographic variables. Multivariate Cox regression analysis was used to evaluate the risk factors for progression to the primary outcome. Kaplan-Meier survival analysis was performed to compare the effect of different body composition on event-free survival rate. 32 patients with CKD [eGFR: 14.89(8.86, 29.88) (mL/min/1.73m2)] and 66 heathy subjects [eGFR: 135.72(121.70, 161.29) (mL/min/1.73m2)] were recruited in our study. From the assessment of body composition assessed by CT, skeletal muscle area, SMD and skeletal muscle index (SMI) in CKD group was lower than those in healthy group (P<0.05). On the other hand, visceral fat area and visceral fat index in CKD group were significantly higher than those in healthy group (P<0.05). In logistic regression analysis, triglyceride (OR: 8.635, 95%CI: 1.153-64.687) was independently associated with low SMD. After adjusting clinical data and body composition, high serum albumin (HR: 0.873, 95%CI: 0.798-0.955) and high SMD (HR: 0.895, 95%CI: 0.822-0.974) were protective factors for delaying renal failure. Based on the Kaplan-Meier analysis, only the group with low SMD had lower event-free survival in comparison to the reference group (P<0.05). These findings suggest that there is significant skeletal muscle loss and decrease in SMD in CKD children. Notably, low SMD is indicative of poor prognosis in CKD children.

Akkermansia muciniphila is associated with normal muscle mass and Eggerthella is related with sarcopenia in cirrhosis.

Sarcopenia and gut dysbiosis are common in cirrhosis. The aim is to study the correlations between the gut microbiota taxa and muscle mass level in cirrhosis. The study included 40 cirrhosis patients including 18 patients with sarcopenia. The gut microbiota composition was assessed using amplicon sequencing of the hypervariable V3-V4 regions of the 16S rRNA gene. The skeletal muscle mass, subcutaneous and visceral fat levels were assessed with abdominal computed tomography as skeletal muscle, subcutaneous and visceral fat indices (SMI, SFI and VFI). Patients with sarcopenia had more relative abundance (RA) of Agathobacter, Anaerostipes, Butyricicoccus, Dorea, Eggerthella, Microbacteriaceae, Veillonella and less RA of Akkermansiaceae, Akkermansia muciniphila, Verrucomicrobiae and Bilophila compared to patients with normal muscle mass. SMI directly correlated with RA of Akkermansia, Alistipes indistinctus, Anaerotruncus, Atopobiaceae, Bacteroides clarus, Bacteroides salyersiae, Barnesiellaceae, Bilophila wadsworthia, Pseudomonadota, Olsenella, and Parabacteroides distasonis, and negatively correlated with RA of Anaerostipes and Eggerthella. Sarcopenia was detected in 20.0% patients whose gut microbiota had Akkermansia but not Eggerthella, and in all the patients, whose gut microbiota had Eggerthella but not Akkermansia. The Akkermansia and Eggerthella abundances were independent determinants of SMI. RA of Akkermansia, Akkermansia muciniphila, Akkermansiaceae, Bacteroides salyersiae, Barnesiella, Bilophila, Desulfobacterota, Verrucomicrobiota and other taxa correlated positively and RA of Anaerovoracaceae, Elusimicrobiaceae, Elusimicrobium, Kiritimatiellae, Spirochaetota, and other taxa correlated negatively with the SFI. RA of Alistripes, Romboutsia, Succinivibrio, and Succinivibrionaceae correlated positively and RA of Bacteroides thetaiotaomicron correlated negatively with VFI. The muscle mass level in cirrhosis correlates with the abundance of several gut microbiota taxa, of which Akkermansia and Eggerthella seems to be the most important.

Beyond MELD Score: Association of Machine Learning-derived CT Body Composition with 90-Day Mortality Post Transjugular Intrahepatic Portosystemic Shunt Placement.

To determine the association of machine learning-derived CT body composition and 90-day mortality after transjugular intrahepatic portosystemic shunt (TIPS) and to assess its predictive performance as a complement to Model for End-Stage Liver Disease (MELD) score for mortality risk prediction. This retrospective multi-center cohort study included patients who underwent TIPS from 1995 to 2018 and had a contrast-enhanced CT abdomen within 9months prior to TIPS and at least 90 days of post-procedural clinical follow-up. A machine learning algorithm extracted CT body composition metrics at L3 vertebral level including skeletal muscle area (SMA), skeletal muscle index (SMI), skeletal muscle density (SMD), subcutaneous fat area (SFA), subcutaneous fat index (SFI), visceral fat area (VFA), visceral fat index (VFI), and visceral-to-subcutaneous fat ratio (VSR). Independent t-tests, logistic regression models, and ROC curve analysis were utilized to assess the association of those metrics in predicting 90-day mortality. A total of 122 patients (58 ± 11.8, 68% male) were included. Patients who died within 90 days of TIPS had significantly higher MELD (18.9 vs. 11.9, p < 0.001) and lower SMA (123 vs. 144.5, p = 0.002), SMI (43.7 vs. 50.5, p = 0.03), SFA (122.4 vs. 190.8, p = 0.009), SFI (44.2 vs. 66.7, p = 0.04), VFA (105.5 vs. 171.2, p = 0.003), and VFI (35.7 vs. 57.5, p = 0.02) compared to those who survived past 90 days. There were no significant associations between 90-day mortality and BMI (26 vs. 27.1, p = 0.63), SMD (30.1 vs. 31.7, p = 0.44), or VSR (0.97 vs. 1.03, p = 0.66). Multivariable logistic regression showed that SMA (OR = 0.97, p < 0.01), SMI (OR = 0.94, p = 0.03), SFA (OR = 0.99, p = 0.01), and VFA (OR = 0.99, p = 0.02) remained significant predictors of 90-day mortality when adjusted for MELD score. ROC curve analysis demonstrated that including SMA, SFA, and VFA improves the predictive power of MELD score in predicting 90-day mortality after TIPS (AUC, 0.84; 95% CI: 0.77, 0.91; p = 0.02). CT body composition is positively predictive of 90-day mortality after TIPS and improves the predictive performance of MELD score. Level 3, Retrospective multi-center cohort study.

A multidimensional analysis of the impact of obesity on immune checkpoint inhibitor therapy efficacy

BackgroundObesity is a well-known risk factor for developing malignant tumors and promoting tumor cell growth and spread. However, recent studies have shown that obese cancer patients, who typically have a worse prognosis than nonobese cancer patients, show a significant improvement in survival after receiving immune checkpoint inhibitor (ICI) therapy. This phenomenon is known as the “obesity paradox”. However, this phenomenon is influenced by tumor type and sex. Therefore, this study aimed to explore the impact of obesity on immunotherapy efficacy from multiple perspectives, aiming to verify this paradox and provide new scientific evidence on the effect of obesity on ICI efficacy.MethodsThis retrospective study evaluated the data of patients who received ICI therapy between June 2019 and August 2023. Automatic segmentation of skeletal muscle, subcutaneous fat, and visceral fat was performed using Slice-O-Matic software, and the corresponding skeletal muscle index (SMI), subcutaneous fat index (SFI) and visceral fat index (VFI) were calculated. The neutrophil-to-lymphocyte ratio (NLR) was determined by dividing the neutrophil count by the lymphocyte count. Univariate and multivariate Cox regression analyses were used to evaluate the correlation between body mass index (BMI), body composition parameters, and the NLR with overall survival (OS) and progression-free survival (PFS) in obese patients receiving ICI therapy.ResultsWe analyzed 219 patients with a median age of 60 years (IQR 53–69 years; 155 men and 64 women). Obese patients, particularly those with visceral fat accumulation, exhibited extended OS after ICI therapy (log­rank P = 0.027). Cox multivariate analysis revealed that the NLR (HR = 1.036; 95% CI: 0.996 to 1.078; P = 0.002) was independently associated with OS. Patients with a high NLR had worse OS than those with a low NLR.ConclusionsThis study corroborates the veracity of the "obesity paradox" under specific conditions and identifies NLR as an independent prognostic factor, with elevated NLR indicative of a poor prognosis.

Body Composition and Progression of Biopsy-Proven Non-Alcoholic Fatty Liver Disease in Patients With Obesity.

Obesity is a significant risk factor for the progression of non-alcoholic fatty liver disease (NAFLD). However, a convenient and efficacious non-invasive test for monitoring NAFLD progression in patients with obesity is currently lacking. This study aims to investigate the associations between CT-based body composition and the progression of biopsy-proven NAFLD in patients with obesity. Liver biopsy was conducted in patients with obesity, and the progression of NAFLD was evaluated by the NAFLD activity score (NAS). Body composition was assessed through abdominal computed tomography (CT) scans. A total of 602 patients with an average age of 31.65 (±9.33) years old were included, comprising 217 male patients and 385 female patients. The wall skeletal muscle index (SMI), total SMI, and visceral fat index (VFI) were positively correlated with NAS in both male and female patients. Multivariate regression analysis demonstrated significant associations between high liver steatosis and wall SMI (HR: 1.60, 95% CI: 1.12 to 2.30), total SMI (HR: 1.50, 95% CI: 1.02 to 2.08), VSI (HR: 2.16, 95% CI: 1.48 to 3.14), visceral fat to muscle ratio (HR: 1.51, 95% CI: 1.05 to 2.18), and visceral to subcutaneous fat ratio (HR: 1.51, 95% CI: 1.07 to 2.12). Non-alcoholic steatohepatitis (NASH) was significantly associated with wall SMI (HR: 1.52, 95% CI: 1.06 to 2.19) and VSI (HR: 1.50, 95% CI: 1.03 to 2.17). Liver fibrosis ≥ F2 was significantly associated with psoas muscle index (HR: 0.64, 95% CI: 0.44 to 0.93) and psoas skeletal muscle density (HR: 0.61, 95% CI: 0.41 to 0.89). Our study suggested that certain CT-based body composition indicators, notably high VFI, were significantly associated with the progression of NAFLD in patients with obesity. Great attentions and timely managements should be given to these patients with body composition characteristics associated with the risk of NAFLD progression.

The Different Predictive Effects of Multiple Body Fat Indexes on Metabolic Dysfunction-Associated Fatty Liver Disease.

The aim of this study was to comprehensively compare the predictive effect of 10 body fat indexes on MAFLD in different sex, age and BMI subgroups. A total of 5403 physical examination data were included and divided into the MAFLD group (N=2632) and non-MAFLD group (N=2771). The differences and correlation of 10 promising indicators between the two groups were compared, including fatty liver index (FLI), hepatic steatosis index (HSI), lipid accumulation product (LAP), visceral fat index (VAI), cardiometabolic index (CMI), body adiposity index (BAI), and triglyceride-glucose index (TyG), waist circumference index (WC), body mass index (BMI), waist to height ratio (WHtR). Logistic regression was used to analyze the risk of MAFLD under different adjustment conditions. The operating characteristic curve of different genders, BMI levels and age subgroups was plotted. Male gender, smoking, alcohol drinking, and higher age are risk factors for MAFLD. In addition to BAI, the other 9 indicators had a high correlation with MAFLD, the area under the curve (AUC) value was >0.7, and the prediction effect was better in females, BMI<24 kg/m2, age <35 years subgroup, among which FLI (AUC: 0.912, 95% CI: 0.905-0.920), LAP (AUC: 0.894, 95% CI: 0.8866-0.903), and HSI (AUC: 0.881, 95% CI: 0.872-0.890) have better prediction effects. Our study confirmed the accuracy of body fat-related indexes in predicting MAFLD in people of different sexes, ages, and BMI levels. Among them, FLI, LAP and HSI have high predictive value and can be utilized as simple and cost-effective tools for screening MAFLD in clinical settings.

CT Derived Measurement of Body Composition: Observations from a Comparative Analysis of Patients with Colorectal and Lung Cancer

Background CT-derived measures of body composition have been shown to have prognostic value in patients with cancer. However, few studies have compared these observations across tumor types and stages of disease. The aim of the present study was to compare body composition measures between two types of cancers, i.e. colorectal cancer (CRC), which is less inflammatory and patients maintain body composition over a longitudinal study period, whereas lung cancer (LC) is proinflammatory and patients lose more fat and muscle mass using a standard methodology. Methods Clinicopathological characteristics, including those pertaining to nutritional risk/status and systemic inflammation in patients with colorectal cancer (CRC, n = 1047) and lung cancer (LC, n = 662), were compared. The CT image at L3 was used to assess body composition. Comparison of these cohorts was carried out using the chi-square test. Binary logistic regression analysis was performed to assess the impact of clinico-pathological variables on body composition, and scatter plots were used to examine the relationship between body mass index (BMI) and CT-derived measures of body composition. Results According to CT-derived body composition, high subcutaneous (SFI) and visceral fat index (VFI) were common (>70%) in both CRC and LC. Also, low skeletal muscle index (SMI) and density (SMD) were approximately 40–50% and 60–70% in both CRC and LC. Compared with CRC, patients with LC had a higher American Society of Anaesthesia (ASA) (P < 0.001), Malnutrition Universal Screening Tool (MUST) (P < 0.001), modified frailty index (mFI) (P < 0.001), modified Glasgow Prognostic Score (mGPS) (P < 0.001), and neutrophil lymphocyte ratio (NLR) (P < 0.001) scores. On binary logistic regression analysis, MUST, mFI, and NLR were predictors of subcutaneous adiposity (P < 0.05); type of cancer, MUST, and mFI were predictors of visceral obesity (P < 0.001); age, type of cancer, MUST, and mGPS were predictors of low SMI (P < 0.001); and age, type of cancer, mFI, and mGPS were predictors of low SMD (P < 0.05). There was a similar relationship between BMI and other measures of CT-derived body composition across two types of cancers. Conclusion Obesity and low skeletal muscle mass were common in both CRC and LC cohorts despite large differences in comorbidity, nutritional risk, systemic inflammation, and survival, even when normalized for TNM stage. These observations would support the hypothesis that, although prognostic, CT derived body composition analysis primarily reflects patient constitution rather than the effect of tumor stage in patients with cancer. The systemic inflammatory response, as evidenced by mGPS, can be considered as an important therapeutic target and loss of muscle mass in patients with advanced cancer is related to the systemic inflammatory response.

The correlation between HOMA-IR and cardiometabolic risk index among different metabolic adults: a cross-sectional study.

This study aimed to explore the correlation between homeostasis model assessment of insulin resistance(HOMA-IR)and cardiometabolic risk index(CMRI) among different metabolic adults to evaluate the value of HOMA-IR in predicting cardiometabolic risk. This cross-sectional study was conducted over 18 months (from August 1, 2020 to February 18, 2022) and included 1550 participants divided into non-metabolic syndrome (non-MetS) group (n = 628) and metabolic syndrome (MetS) group (n = 922) in three centers of China. Logistic regression analysis was employed to investigate the correlation between HOMA-IR, body fat percentage, BMI (body mass index), visceral fat index, waist-to-hip ratio, vitamin D, and CMRI. Further analysis was conducted to evaluate the ability of HOMA-IR in diagnosing high CMRI within different metabolic, gender, and age groups to predict the risk of cardiovascular disease (CVD). HOMA-IR was significantly higher in the MetS group compared with the non-MetS group (P < 0.05). CMRI was significantly higher in the MetS group compared to the non-MetS group (P < 0.05). According to ROC curve analysis, HOMA-IR can predict cardiovascular risk (CVR) in the general population, non-MetS individuals, and MetS people. Logistic regression analysis revealed that BMI, visceral fat index, waist-to-hip ratio, and HOMA-IR are independent risk indicators of high CVR, whereas vitamin D may exert a protective role. HOMA-IR was an independent risk factor for increased CVR in MetS patients. Moreover, HOMA-IR elevates the risk of CVD regardless of MetS and thus can be used for screening the general population. The study was registered at the Chinese Clinical Trial Registry (Registration Number: ChiCTR2100054654).

Automated Comprehensive CT Assessment of the Risk of Diabetes and Associated Cardiometabolic Conditions.

Background CT performed for various clinical indications has the potential to predict cardiometabolic diseases. However, the predictive ability of individual CT parameters remains underexplored. Purpose To evaluate the ability of automated CT-derived markers to predict diabetes and associated cardiometabolic comorbidities. Materials and Methods This retrospective study included Korean adults (age ≥ 25 years) who underwent health screening with fluorine 18 fluorodeoxyglucose PET/CT between January 2012 and December 2015. Fully automated CT markers included visceral and subcutaneous fat, muscle, bone density, liver fat, all normalized to height (in meters squared), and aortic calcification. Predictive performance was assessed with area under the receiver operating characteristic curve (AUC) and Harrell C-index in the cross-sectional and survival analyses, respectively. Results The cross-sectional and cohort analyses included 32166 (mean age, 45 years ± 6 [SD], 28833 men) and 27 298 adults (mean age, 44 years ± 5 [SD], 24 820 men), respectively. Diabetes prevalence and incidence was 6% at baseline and 9% during the 7.3-year median follow-up, respectively. Visceral fat index showed the highest predictive performance for prevalent and incident diabetes, yielding AUC of 0.70 (95% CI: 0.68, 0.71) for men and 0.82 (95% CI: 0.78, 0.85) for women and C-index of 0.68 (95% CI: 0.67, 0.69) for men and 0.82 (95% CI: 0.77, 0.86) for women, respectively. Combining visceral fat, muscle area, liver fat fraction, and aortic calcification improved predictive performance, yielding C-indexes of 0.69 (95% CI: 0.68, 0.71) for men and 0.83 (95% CI: 0.78, 0.87) for women. The AUC for visceral fat index in identifying metabolic syndrome was 0.81 (95% CI: 0.80, 0.81) for men and 0.90 (95% CI: 0.88, 0.91) for women. CT-derived markers also identified US-diagnosed fatty liver, coronary artery calcium scores greater than 100, sarcopenia, and osteoporosis, with AUCs ranging from 0.80 to 0.95. Conclusion Automated multiorgan CT analysis identified individuals at high risk of diabetes and other cardiometabolic comorbidities. © RSNA, 2024 Supplemental material is available for this article. See also the editorial by Pickhardt in this issue.

Prognostic Role of Pre-Treatment Body Composition Parameters in Patients Undergoing First-Line Immunotherapy for Metastatic Renal Cell Carcinoma.

We investigated the relationship between body mass index (BMI), radiological body composition, and survival outcomes in patients with metastatic renal cell carcinoma (mRCC) underwent first-line immune checkpoint inhibitor (ICI)-based therapy. Analyzing data from 102 patients treated between November 2019 and March 2023, pre-treatment computed tomography (CT) scans assessed fat and muscle areas. BMI and body composition indices were examined, including skeletal muscle index, subcutaneous fat index (SFI), visceral fat index, and total fat index. Kaplan-Meier curves and Log rank tests compared progression-free survival (PFS) and overall survival (OS), while multivariable Cox proportional regression analysis was performed to identify the variables significantly associated with survival outcomes. 54 patients (52.9%) experienced disease progression, and 26 (25.5%) died during a median follow-up of 17.4 months. High SFI was significantly associated with improved OS (p = 0.018) but not PFS (p = 0.090). Multivariable analysis confirmed the positive impact of high SFI on OS (adjusted HR: 0.37, p = 0.029) and suggested a trend towards improved PFS (adjusted HR: 0.61, p = 0.088). Notably, in the ipilimumab + nivolumab subgroup, high SFI significantly correlated with both PFS and OS (p = 0.047 and p = 0.012, respectively). High SFI predicts favorable OS in patients with mRCC receiving first-line ICI-based therapy, especially patients treated with ipilimumab + nivolumab displayed a significant association between high SFI and favorable PFS and OS.

Anthropometrics and Mental Health Among People with and Without Type 2 Diabetes

Objectives: To investigate the relationships between anthropometric variables and the mental health of older people with type 2 diabetes compared to those without diabetes. Design: A case-control study. Setting(s): The study was conducted in Yazd, the capital city of the Yazd province in Iran. Participants: This study comprised 501 diabetic and 555 non-diabetic individuals recruited from the Yazd Health Study (YaHS). Outcome measures: The Depression Anxiety Stress Scales (DASS-21) questionnaire was used to assess mental health. The scale measured anthropometric indicators, including blood pressure, waist circumference, hip circumference, neck circumference, body fat, body muscle percentage, visceral fat, and body mass index (BMI). Results: The non-diabetic group exhibited better mental health (P≤0.01) compared to the diabetic group. Linear regression analysis indicated that, among demographic variables, gender in diabetic elderly was associated with mental health (P≤0.01), while gender, level of education, and marital status (P≤0.01) in non-diabetics were associated with mental health. Furthermore, among anthropometric factors, BMI and visceral fat (P≤0.01) in diabetics and visceral fat (P≤0.01) in non-diabetics were associated with mental health. The model obtained from liner regression based on demographic and anthropometric variables explained 6 to 13.3% and 8.8 to 15.4% of variance in mental health among diabetic (R2=0.086, P≤0.01) and non-diabetic (R2=0.162, P≤0.01) individuals, respectively. Conclusions: Gender, higher BMI, and visceral fat were associated with poor mental health among diabetic patients. The results of the present study can be used for designing appropriate interventions through different programs such as physical fitness programs.

Structural equation model analysis of the effect of visceral fat on osteoporosis

BackgroundOsteoporosis is a considerable public health challenge in Moyu County, Xinjiang. Here, we evaluated the influencing factors of osteoporosis in this region.MethodsWe recruited 7,761 participants and randomized them into normal and osteoporotic populations based on T-score. The effects of general conditions, body composition, calcium sources and exercise, respiratory exposure, and daily diet on osteoporosis were analyzed. Furthermore, a structural equation model was constructed to uncover the direct and indirect influencing factors of osteoporosis.ResultsAmong the participants, 1,803 (23.23%) had normal bone mass while 1,496 (19.28%) had osteoporosis. The univariate analysis showed significant differences in the general conditions, body composition, calcium sources and exercise, respiratory exposure, and daily diet. Stratification based on age (45 years) and body mass index (BMI) (18.5 kg/m2) showed variations in the body composition between the two groups; however, the visceral fat differed significantly. Logistic regression analysis affirmed the association of visceral fat index as it was included in all equations, except for age and female menopause. The structural equation exhibited that the general conditions, body composition, and, calcium sources, and exercise were direct factors of osteoporosis, while respiratory exposure and daily diet were indirect factors. The standardized path coefficient was highest in general conditions, followed by body composition, and lastly, calcium sources and exercise.ConclusionObesity, besides age and female menopause, is also an influencing factor of osteoporosis. The visceral fat index plays a vital role in osteoporosis. Our findings may provide experimental evidence for early prevention and treatment of osteoporosis.

356 The Role of Cancer Cachexia in Influencing Outcomes in Pancreatic &amp; Biliary Malignancy

Abstract Aim To investigate the influence of cancer cachexia on outcomes and clinicopathological variables in pancreatico-biliary malignancies. Method Patients who underwent pancreaticoduodenectomy for malignancy from 2007-2020 at the Glasgow Royal Infirmary were included in this study. Pre-operative single-slice CT scan images were collected for cross sectional analysis of body composition using the semi-automated segmentation programme, SliceOmatic. Body composition measurements were represented as z-scores to account for age and sex. Results Subcutaneous fat radiodensity (SFD) was significantly lower in ampullary adenocarcinoma (-0.17+/-0.95), duodenal adenocarcinoma (-0.03+/-1.08), and cholangiocarcinoma (-0.18+/-1.00) groups compared to the pancreatic cancer group (0.12+/-1.00) (P=0.09). Skeletal muscle index (SMI) was significantly higher in those diagnosed with cholangiocarcinoma compared to all other indications (0.20+/-0.91 vs -0.04+/-1.02, P=0.05). Disease-specific and recurrence-free median survival was lower in those with low SMI compared to those with high SMI for all indications (35 months vs 41 months, 13 months vs 18 months).When comparing those who underwent up-front resection to those who received neoadjuvant therapy, visceral fat index (VFI) was found to be higher (0.06+/-1.00 vs -0.21+/-0.99, P=0.03) and skeletal muscle density was found to be lower (-0.05+/-1.01 vs 0.18+/-0.96, P=0.04). SFD was also found to be significantly lower in those with AJCC stage 1 compared to all other stages (-0.21+/-0.86 vs 0.07+/-1.01, P=0.03). Conclusions Adverse body composition may influence outcomes in pancreatic and biliary malignancy; however, this influence appears to be modest at best. Clinical applications of body composition analysis may be limited to serial monitoring of patients within the context of their treatment pathway.

A High Visceral-to-Skeletal Muscle Area Ratio on Cross-Sectional Imaging Is Associated With Failure of Standard Ustekinumab Doses: A Multicenter Study.

Anti-interleukin 12/23 agents have shown greater durability in response compared with anti-tumor necrosis factor α agents. Data on the association between body composition (BC) or body mass index (BMI) and ustekinumab's therapeutic response is limited. We aimed to evaluate the impact of BC on time to failing standard doses of ustekinumab in patients with Crohn's disease (CD). Patients with CD aged 16 years and older from 2 tertiary centers were studied retrospectively. Included patients had abdominal imaging within 6 months of ustekinumab induction and were followed until April 30, 2022. An experienced abdominal radiologist blinded to the clinical information measured the area of visceral fat area and skeletal muscle area at the mid L3 vertebral level, with values corrected for height 2 to derive respective indices (visceral fat index [VFI], skeletal muscle index [SMI]) and the VFI:SMI ratio. Ninety-nine patients met inclusion criteria. The mean age at ustekinumab induction was 46.6 (±1.6) years. The median BMI (interquartile range) was 26.5 (22.6-30.8). Twenty-four patients (24.2%) did not respond or lost response to standard doses of ustekinumab over the follow-up duration. A younger age (hazard ratio 0.96, 95% confidence interval 0.94-0.99, P = 0.01) and a VFI:SMI ratio >1.6 (hazard ratio 4.65, 95% confidence interval 1.73-12.45, P = 0.002) were both associated with a shorter time to failing ustekinumab at standard doses on multivariate analysis. BMI, notably, had no association with the primary outcome. A high VFI:SMI ratio is associated with an increased risk of failing standard doses of ustekinumab. BC measurements derived from cross-sectional imaging at the start of ustekinumab therapy is a useful indicator for therapeutic durability.

A STUDY OF ASSOCIATION AMONG BODY COMPOSITION AND KHAT CHEWING AMONG THE EMPLOYEES OF UNIVERSITY OF SCIENCE AND TECHNOLOGY, SANA’A, YEMEN

Catha edulis (khat) is a plant grown commonly in the Republic of Yemen. The leaves of small khat are chewed by the people for its stimulant action. Association between body composition, khat chewing is little known. We recruited 300 individuals 19-70 years of age from University of Science and Technology, Sana’a, Yemen. Demographic, body composition and physical activity data were collected using structured questionnaires and anthropometric measurements devices. Muscle mass (kg), body fat (kg), visceral fat (kg), waist circumference (cm) and body Mass index (kg/m2) were estimated. Participants in habit of khat chewing were 170 (56.7%) of Chewer and 130 (43.3%) of non-chewer. Participants’ mean ± SD of age was 38.7±9 years, 217 (72.3%) and 83 (27.7%) were males and females, respectively. Including 40 (13.3%) smokers and 260 (86.7%) non-smokers. Whereas 151 (88.8%) of the men and 19 (11.2%) of the women take khat, including 39 (22.9%) academics and 131 (77.1%) non-academics. In addition, 46 (27.1%) have low activity and 105 (61.8%) %) had moderate activity and 19 (11.2%) had high activity. Participants in daily khat chewing were 77 (45.3%) while 14 (8.2%), 43 (25.3%), 36 (21.2%) were 4-6 times/week, 2-3 times/week and Once/week, respectively. Participants spent an average of 4.5±2 hours per day in khat chewing sessions, with 52.9% spending 1-4 hours, 43.5% spending 5-8 hours, and 3.5% spending more than 8 hours. The majority of khat chewers reported spending around 2000 Yemeni Riyals (Y.R.) per day on khat. In terms of the impact on meal schedules, 38.8%. Khat chewers had higher muscle mass (33±6), lower body fat percentages (27.8±9), higher levels of visceral fat (9.3±4), larger waist circumferences (88.4±10) and slightly higher BMI values (25.9±4) compared with non-chewers were muscle mass (29.9±7), body fat percentages (31±12 levels of visceral fat (7.8±4), waist circumferences (82.6±11) and BMI values (24.9±4). In addition to, males khat chewers had higher muscle mass, higher visceral fat levels and higher waist circumferences values in compared with females where were muscle mass, visceral fat levels and waist circumferences low. There is no significant association between khat chewers’ status and excess body fat.

Analysis of Finger Photo Pulse Plethysmography and Body Composition among Low Back Pain Subjects with Lumbar Disc Degenerative Diseases Diagnosed by MRI Analysis

Lumbar disc degenerative disc disease, accompanied by back pain, is a prominent health concern in society. The purpose of the study was to investigate the connection of arterial stiffness and body composition in the patients suffering low back pain with lumbar disc degenerative disorders. A comparative study was performed on 197 patients, both male and female, between the ages of 30 and 70, who were experiencing low back pain. These patients have undergone magnetic resonance imaging of the lumbosacral region to evaluate the intervertebral disc's nucleus and annulus as well as its signal intensity and height. The Pfirrmann grading method was used to determine the extent of disc degeneration. The statistical analysis revealed no significant link between overall body fat and stiffness index in disc bulging and nerve compression groups. However, the group experiencing nerve compression demonstrated a statistically significant association between visceral fat and reflection index in individuals who were overfat and obese. In addition, there was a notable correlation between PWV and the reflection index of the disc bulging groups. So, whole body fat and PWV had a different impact on disc degeneration. The PWV has a robust positive correlation with both the stiffness index and reflection index. The presence of subcutaneous fat and vascular stiffness may not have any impact on low back pain in patients with disc bulging and nerve compression. Early identification of vascular stiffness and study of body composition serve as initial measures to avoid the progression of disc degeneration.

Quantification of Visceral Fat at the L5 Vertebral Body Level in Patients with Crohn's Disease Using T2-Weighted MRI.

The umbilical or L3 vertebral body level is often used for body fat quantification using computed tomography. To explore the feasibility of using clinically acquired pelvic magnetic resonance imaging (MRI) for visceral fat measurement, we examined the correlation of visceral fat parameters at the umbilical and L5 vertebral body levels. We retrospectively analyzed T2-weighted half-Fourier acquisition single-shot turbo spin echo (HASTE) MR axial images from Crohn's disease patients who underwent MRI enterography of the abdomen and pelvis over a three-year period. We determined the area/volume of subcutaneous and visceral fat from the umbilical and L5 levels and calculated the visceral fat ratio (VFR = visceral fat/subcutaneous fat) and visceral fat index (VFI = visceral fat/total fat). Statistical analyses involved correlation analysis between both levels, inter-rater analysis between two investigators, and inter-platform analysis between two image-analysis platforms. Correlational analysis of 32 patients yielded significant associations for VFI (r = 0.85; p < 0.0001) and VFR (r = 0.74; p < 0.0001). Intraclass coefficients for VFI and VFR were 0.846 and 0.875 (good agreement) between investigators and 0.831 and 0.728 (good and moderate agreement) between platforms. Our study suggests that the L5 level on clinically acquired pelvic MRIs may serve as a reference point for visceral fat quantification.

Relationship between Visceral Fat Index and Degree of Coronary Artery Stenosis and TCM

Relationship between Visceral Fat Index and Degree of Coronary Artery Stenosis and TCM

Impact of body composition, grip strength, and physical performance on clinical outcomes for locally advanced gastric cancer during neoadjuvant chemotherapy: A prospective cohort study

ObjectiveNeoadjuvant chemotherapy (NC) is critical in treating locally advanced gastric cancer (LAGC). However, the effect of body composition, grip strength, and physical performance during neoadjuvant chemotherapy remains uncertain. This study aimed to investigate the impact of these factors on perioperative clinical outcomes in LAGC patients undergoing NC. MethodsA total of 162 consecutive patients receiving NC at two centers were prospectively registered between June 2022 and September 2023. The data on body composition parameters, grip strength, and physical performance during NC were collected, compared, and analyzed. The primary outcome was the tumor response after completion of NC. ResultsOverall, we included 92 LAGC patients. No significant changes were observed in body composition, grip strength, and physical performance after NC. The change in skeletal muscle index and grip strength were both significantly lower in the patients with poor tumor response. According to the Youden index, the cutoff values of △SMI and △grip strength were −2.0 and −2.8, respectively. Based on these two parameters, the area under the curve to predict tumor response was 0.817 (P < 0.001). Furthermore, visceral fat index (VFI) loss >6.9 and 5-time chair stand test increase >2.4 independently predicted postoperative complication (OR: 3.82, 95% CI: 1.138–12.815, P = 0.030; OR: 5.01, 95% CI: 1.086–23.131, P = 0.039, respectively). ConclusionsFor LAGC patients receiving NC, changes in SMI, VFI, grip strength, and physical status can predict perioperative clinical outcomes. These patients should be given special nutritional intervention.