Visceral Fat Index Research Articles

Anthropometric, Bioelectric, and Visceral Fat Indices to Predict Hypertension in Rural Rohtak, Haryana

Abstract Background: Hypertension, which is responsible for many comorbidities like stroke and chronic heart disease, has a prevalence of 29.8% in India. They are many obesity indices; bioelectric and visceral fat indices are seen to be associated with hypertension. The region-specific cutoffs of these indices are important to make amenable policy decisions for the control of noncommunicable diseases. This study aimed to examine the various anthropometric, bioelectric, and visceral fat indicators as predictors of hypertension in adults of rural Rohtak, Haryana. Methods: An observational cross-sectional study was conducted among 800 adults (18–60 years), who were permanent residents of Chiri Block. Sociodemographic, socioeconomic, dietary, and morbidity data were collected, and measurements for various anthropometric and fat indices were taken using standardized methods. Receiver operating characteristic curve (ROC) analysis was used to calculate the area under the curve (95% confidence interval) for validity and to estimate the optimal cutoff values of anthropometric and other indices. Results: The overall prevalence of obesity (WHO Asia Pacific criteria) was 40.60% (39.60% males, 41.30% females), whereas the prevalence of hypertension (AHA 2017) was 30.90% (34.6% males, 21.4% females). Waist circumference (WC) (0.736), visceral fat level (VFL) (0.723), and waist height ratio (WHtR) (0.717) had the highest area under curve values. Body mass index (BMI) had the highest sensitivity (69.9%), whereas body fat percentage (BFP) had the highest specificity (89.9%). Discussion: WC and WHtR have proven to be superior indicators than BMI. VFL and BFP are emerging indicators, and further exploration needs to be done toward the utilization of these indices directly at the community level for screening purposes.

Association between metabolic score for visceral fat index and BMI-adjusted skeletal muscle mass index in American adults

BackgroundThe metabolic score for visceral fat (METS-VF) is a recently identified index for evaluating visceral fat, also referred to as abdominal obesity. The skeletal muscle mass index (SMI) serves as a critical measure for assessing muscle mass and sarcopenia. Both obesity and the reduction of muscle mass can significantly affect human health. However, research exploring the relationship between METS-VF and SMI remains limited. This study aims to investigate whether a association exists between these two indices, and if so, to elucidate the nature of their interactions.MethodsWe conducted a cross-sectional study using data from the NHANES database, focusing on U.S. adults aged 20 years and older from 2013 to 2018. Controlling for relevant covariables, we primarily investigated the association between METS-VF and SMI values utilizing weighted multivariable linear regression models. Additionally, we assessed the diagnostic efficacy of METS-VF for sarcopenia.ResultsA total of 3,594 participants were included in this study for analysis. The final adjusted model from the weighted multivariable linear regression indicated that METS-VF was negatively associated with SMI, with a coefficient of β = -0.13 (95% CI: -0.14, -0.12; P < 0.001). Subgroup analyses further demonstrated that this negative association was consistent across different populations. Notably, the negative association varied significantly between diabetic and nondiabetic population, as well as among populations classified by different BMI categories. Additionally, threshold effect analysis identified a significant inflection knot at 6.33. The characteristic curves of the subjects’ work illustrated that, compared to other indicators, METS-VF exhibited excellent diagnostic efficacy for sarcopenia, with an area under the curve (AUC) of 0.825.ConclusionOur results indicate that METS-VF is negatively correlated with SMI among adults in the United States, suggesting that visceral obesity exerts a detrimental effect on muscle mass. Furthermore, METS-VF shows potential as a valuable indicator for assessing SMI and sarcopenia. These findings underscore the importance of considering lipid metabolism disorders in the context of muscle health and highlight the potential for developing prevention strategies for sarcopenia.

The relationship between anthropometric indices and non-alcoholic fatty liver disease in adults: a cross-sectional study.

Non-alcoholic fatty liver disease (NAFLD) is a widespread liver condition associated with diabetes, metabolic syndrome, and cardiovascular diseases, yet public awareness remains low. Early detection of risk factors is crucial, but liver biopsy, the diagnostic gold standard, is invasive and costly. Non-invasive anthropometric indices provide a safer alternative. This study examines these indices to identify the most reliable predictor of NAFLD in adults. In the present cross-sectional study, we used the Fasa Cohort Data, conducted on about 10,000 people, of whom 1,047 were diagnosed with NAFLD. NAFLD diagnosis in this study was confirmed by physicians based on medical history and ultrasonographic evaluations, ensuring accurate and reliable identification of cases. General, anthropometric, and dietary assessments were performed using interviews, tools, and valid questionnaires. Biochemical evaluation was also done. Waist-to-hip ratio (WHR), waist-to-height ratio (WHtR), Body mass index (BMI), a body shape index (ABSI), body roundness index (BRI), and visceral fat index (VAI) were also calculated using these measurements and formulas. This study used descriptive tests, binary logistic regression, and ROC curve analysis. In both crude and adjusted models, significant associations were found between WHR, WHtR, BMI, and VAI with NAFLD. ROC analysis revealed that WHtR and BMI were the most accurate predictors of NAFLD in both genders (WHtR: men AUC = 0.750, women AUC = 0.702; BMI: men AUC = 0.754, women AUC = 0.701). BRI showed significant accuracy, but WHR (men: AUC = 0.727, women: AUC = 0.640) and VAI (men: AUC = 0.621, women: AUC = 0.622) were less effective. ABSI demonstrated poor predictive power (men: AUC = 0.530, women: AUC = 0.505) and is not recommended for NAFLD prediction. Based on the findings, BMI and WHtR emerge as the most practical and accessible indicators for early screening of NAFLD in both men and women, while ABSI shows minor effectiveness in identifying the disease.

Developing a predictive model for delayed healing of esophagojejunal anastomotic fistula following total gastrectomy based on imaging and clinical inflammatory-nutritional status.

Esophagojejunal anastomotic fistula (EJF) following radical total gastrectomy is a severe perioperative complication in patients with gastric cancer, particularly as delayed fistula healing increases hospitalization costs and leads to poor prognosis. Numerous factors influence the occurrence and progression of EJF, with inflammation and nutritional status being significant contributors to perioperative complications. Therefore, this study aims to investigate the prediction of delayed EJF healing based on postoperative clinical and imaging-related inflammation-nutrition status. We retrospectively collected data on 315 cases of EJF following radical total gastrectomy for gastric cancer from two centers between 2015 and 2023 (training group: center one with 194 cases, validation group: center two with 121 cases). EJF was diagnosed based on clinical presentation, gastrointestinal imaging, or endoscopic findings. The healing time for EJF was defined as the period from diagnosis to the removal of the abdominal drainage tube, and patients were categorized into early healing and delayed healing groups based on the median healing time. Postoperative abdominal computed tomography(CT) scans and clinical characteristics at the time of EJF diagnosis were collected. Univariate and multivariable logistic regression analyses were performed on the training group data to construct a predictive model (nomogram). The model's performance in both the training and validation groups was evaluated using the area under the receiver operating characteristic (ROC) curve (AUC), calibration curves, and decision curve analysis (DCA). The mean healing time for EJF was 16 ± 7 days (median time: 12 days, range: 4-43 days). Postoperative systemic immune-inflammation index (SII) > 521×10ˆ9/L, controlling nutritional status score (CONUT) > 4, nutritional support method, visceral fat index (VFI) < 74.42 cm2/m2, and skeletal muscle index (SMI) < 41.25 cm2/m2 were associated with delayed EJF healing times. A comprehensive model was developed, in the validation group, the model demonstrated an AUC of 0.838 (95% confidence interval (95% CI): 0.763-0.912). The DCA and calibration curves indicated a strong predictive consistency and clinical utility of the model.

Dyslipidemia Impacts Cardiometabolic Health and CVD Risk in a Relatively Young Otherwise Healthy Population.

Dyslipidemia, abnormal levels of lipids in the bloodstream, is associated with cardiovascular disease risk (CVD). The purpose of this study was to evaluate the effects of dyslipidemia on cardiometabolic health in relatively young, healthy adults. Participants were 54 healthy males and females aged 18-60years. Participants were assessed for anthropometrics, body composition, blood pressure and vascular stiffness indicators, microvascular health, and glucose and lipid levels. Using a cross-sectional approach, participants were characterized and grouped as having dyslipidemia or not, and then statistically assessed to determine whether differences in other cardiometabolic health measures existed between the groups. There were significant differences between groups for body weight and composition (total mass, muscle mass, visceral fat, bone mass, and body mass index, all, p<0.027, Cohen's d>0.605) with the dyslipidemia group being higher. There were significant differences between groups for peripheral and central blood pressures (all, p<0.003, Cohen's d>0.899), as well as for vascular stiffness indicators (pulse pressure, augmentation pressure, augmentation index, augmentation index 75) (all, p<0.022, Cohen's d>0.672) with elevations noted in the dyslipidemia group. Ten-year CVD risk was significantly different between groups, with an average risk of 0.8% in the normal lipids group and a risk of 5.4% in the dyslipidemia group (p<0.001, Cohen's d=1.260). However, there were no significant differences in macro- or micronutrient intake between groups (all, p>0.166, Cohen's d<0.412). There is a significant impact on cardiometabolic health in individuals with dyslipidemia who are otherwise healthy, which may increase individual risk for CVD. Trial Registration: ClinicalTrials.gov identifier: NCT06544915.

Characteristics of metabolic syndrome in the servicemen with erosive esophagitis in wartime conditions

Background. Among the well-known factors contribu­ting to the prevalence of erosive esophagitis, the leading one is an increase in the number of individuals with obesity and insulin resistance. The assessment of metabolic syndrome in the servicemen of the Armed Forces of Ukraine with erosive esopha­gitis in wartime conditions is of particular importance, as the effectiveness of their professional activities depends on it. The purpose of the study: to evaluate the body composition and insulin resistance in the servicemen of the Armed Forces of Ukraine with erosive esophagitis, taking into account the level of the stress index, exhaustion and adaptative capacity of the body. Materials and me­thods. The study included 24 men aged 33 to 57 years, the average age was (42.7 ± 2.1) years. All military personnel were assessed for maladjustment, increased cardiovascular risk, anxiety, and fatigue using the cardiorhythmography method based on the ana­lysis of heart rate variability on the CONTEC8000GW system. Body composition was assessed using Tanita MC-780МА (Japan) scales-analyzers whose mechanism is based on the technique of bioimpedance analysis with computer processing. Insulin resistance was evaluated using the HOMA-IR index, for the calculation of which the level of insulin was determined by enzyme-linked immunosorbent assay systems of the Xema company (Ukraine) on the Stat Fax 303 Plus analyzer (USA). Results. According to precise diagnostics, half of the servicemen of the Armed Forces of Ukraine with erosive esophagitis were diagnosed with vegetative imbalance, which was manifested by an increase in the stress index in 37.5 % of cases, a disruption or violation of adaptation in 25.0 %, and exhaustion of the body in 54.2 % of cases. The HOMA-IR index was 1.5 times higher (p = 0.006) compared to that of the control group. 37.5 % of the servicemen of the Armed Forces of Ukraine with erosive esophagitis showed signs of metabolic syndrome. Correlation analysis revealed relationship of heart rate variability with body composition indicators (body mass index, fat mass, and amount of visceral fat). In addition, an increase in insulin resistance is associated with an increase in the stress index and cardiovascular risk, as well as a decrease in the adaptive capacity of the body and its exhaustion. Conclusions. The correlations found between indicators of heart rate variability, insulin resistance and body composition will allow for the development of a personalized approach to the management of the servicemen of the Armed Forces of Ukraine with erosive esophagitis.

Perbandingan Ukuran dan Komposisi Tubuh antara Mahasiswa Laki-Laki Atlet dan Non Atlet Universitas Padjadjaran

Body composition is the relative proportion of fat and fat-free tissue in the body and indicates health profile. Athletes usually have a different body composition compared to the general population due to their involvement in intense sports activities. This research investigated the body size and composition among male student-athletes and non-athletes at Universitas Padjadjaran. The study used a cross-sectional method and anthropometric measurements on 14 athletes and 34 non-athletes. Anthropometric data consisted of height, weight, body fat, visceral fat, skeletal muscle, and Body Mass Index (BMI). Student-athletes have a lower average weight, body fat, and BMI than non-athletes. They tend to have body fat and visceral fat in the normal category (50% and 100%), whereas non-athletes (5.9% and 79.4%). Additionally, student-athletes have more skeletal muscle (63.4%) than non-athletes (47.1%). Furthermore, nutritional status based on BMI values indicates that student-athletes tend to fall within the normal category at 78.8%, while non-athletes are only at 44%. These results demonstrate that the body size and composition of student-athletes reflect better physical fitness, resulting in a better nutritional status than non-athletes at Universitas Padjadjaran.

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

ObjectiveSkeletal 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. MethodsThe 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. Results32 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). ConclusionsThese 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

PurposeTo 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.Materials and MethodsThis retrospective multi-center cohort study included patients who underwent TIPS from 1995 to 2018 and had a contrast-enhanced CT abdomen within 9 months 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.ResultsA 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).ConclusionCT body composition is positively predictive of 90-day mortality after TIPS and improves the predictive performance of MELD score.Level of Evidence: Level 3, Retrospective multi-center cohort study.Graphical

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.

Visceral Fat Associated with Worsening of Recurrent Esophageal Varices in Alcoholic/Nonalcoholic Steatohepatitis-Related Liver Cirrhosis

Alcoholic steatohepatitis and nonalcoholic steatohepatitis-related liver cirrhosis (ASH/NASH-LC) are major causes of esophageal varices (EVs). However, the association between high visceral fat and exacerbation of EVs remains unclear. The aim of this study was to clarify the association of visceral fat and recurrence rate of EVs in ASH/NASH-LC and to identify independent predictors associated with recurrence. We retrospectively evaluated data from 94 patients who underwent endoscopic injection sclerotherapy for EVs with ASH/NASH-LC. Using the receiver operating characteristic curve for the cut-off value of visceral fat index (VFI; 46.4 cm2/m2), we classified patients as having a high VFI (n = 53) or low VFI (n = 41). Propensity score matching was used to align for background factors, and the recurrence rate of EVs was compared between the two groups. Predictors associated with esophageal variceal recurrence were identified by multivariate analysis. The recurrence rate in patients with viral LC was also investigated. In the overall analysis, the recurrence rate was significantly higher in the high VFI group than in the low VFI group (P = 0.023). The recurrence rate was also higher in the high VFI group than in the low VFI group after propensity score matching, in which 19 patients were matched in each group (P = 0.048). VFI and Child-Pugh score were independently associated with recurrence. Recurrence rates were comparable between the two groups in viral LC patients. Worsening of variceal recurrence was observed in high visceral fat patients in ASH/NASH-LC but not in viral LC. Furthermore, high visceral fat was an independent predictor associated with variceal recurrence.

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.