Various Obesity Indices and Arterial Function Evaluated with CAVI - Is Waist Circumference Adequate to Define Metabolic Syndrome?

Artificial Neural Networks to Predict Metabolic Syndrome without Invasive Methods in Adolescents

Background/Objectives: The prevalence of metabolic syndrome (MetS) is increasing worldwide, and an increasing number of cases are diagnosed in younger age groups. This study aimed to propose predictive models based on demographic, anthropometric, and non-invasive clinical variables to predict MetS in adolescents. Methods: A total of 2064 adolescents aged 18-19 from São Luís-Maranhão, Brazil were enrolled. Demographic, anthropometric, and clinical variables were considered, and three criteria for diagnosing MetS were employed: Cook et al., De Ferranti et al. and the International Diabetes Federation (IDF). A feed-forward artificial neural network (ANN) was trained to predict MetS. Accuracy, sensitivity, and specificity were calculated to assess the ANN's performance. The ROC curve was constructed, and the area under the curve was analyzed to assess the discriminatory power of the networks. Results: The prevalence of MetS in adolescents ranged from 5.7% to 12.3%. The ANN that used the Cook et al. criterion performed best in predicting MetS. ANN 5, which included age, sex, waist circumference, weight, and systolic and diastolic blood pressure, showed the best performance and discriminatory power (sensitivity, 89.8%; accuracy, 86.8%). ANN 3 considered the same variables, except for weight, and exhibited good sensitivity (89.0%) and accuracy (87.0%). Conclusions: Using non-invasive measures allows for predicting MetS in adolescents, thereby guiding the flow of care in primary healthcare and optimizing the management of public resources.

Age-Specific Approach to Arterial Stiffness Prediction in Apparently Healthy Patients

Background

The high prevalence of traditional cardiovascular risk factors among the patients without cardiovascular disease (CVD) allows us to predict an increase in cardiovascular morbidity rate in the future. Arterial stiffness is one of the most important predictors and pathogenetic mechanisms of CVD development. The aim of our study was to evaluate the predictive differences of age-related and age-independent (universal) cardio-ankle vascular index (CAVI) reference values for detecting increased arterial stiffness in individuals without CVD.

Methods

The study included 600 patients (43% men and 57% women, mean age 36.0 ± 18.3 years). All the patients underwent anthropometric measurements with obesity markers evaluation, assessment of arterial stiffness by sphygmomanometry. To create predictive models, we used universal and age-related CAVI thresholds: ≥ 9.0 (CAVI≥ 9) and CAVIAge according to the "Consensus of Russian experts on the evaluation of arterial stiffness in clinical practice".

Results

In the < 50 years group, both the CAVIAge and CAVI≥ 9 models were significant (CAVIAge: b = 4.8, standard error b (st.err.b) = 0.27, P < 0.001; CAVI≥ 9: b = 3.2, st.err.b = 1.6, P < 0.001). The CAVIAge model demonstrated high sensitivity and specificity (> 70%) compared to the CAVI≥ 9 model (sensitivity 62%, specificity 58%). In the receiver operating characteristic (ROC) curve analysis, the CAVIAge model had a significantly higher area under the ROC curve (AUC) = 0.802 than the CAVI≥ 9 model: AUC = 0.674. In the ≥ 50 years group, both models were significant: CAVIAge (b = 2.6, st.err.b = 1.13, P < 0.001) and CAVI≥ 9 (b = 5.3, st.err.b = 0.94, P < 0.001). Both models demonstrated high sensitivity and specificity (> 70%). When ROC curves were analyzed for the CAVIAge model, the AUC value of 0.675 was significantly lower when compared to the CAVI≥ 9 model (AUC = 0.787, P = 0.031).

Conclusions

In the < 50 years group, the model based on age-specific CAVI thresholds has the higher predictive value, sensitivity, and specificity for identifying individuals with increased arterial stiffness. In contrast, in the ≥ 50 years group, a predictive model using a universal threshold value of CAVI≥ 9 has advantages.

Abdominal visceral-to-subcutaneous fat ratio in the prediction of metabolic syndrome risk in Japanese Americans followed prospectively for 10-years loses information

AIMS

Visceral fat predicts the development of metabolic syndrome (MetS), but it is not known whether the visceral to subcutaneous fat area ratio (VSR) measured using imaging predicts MetS risk as well or better. Thus, we aimed to examine if VSR predicted future risk of MetS over 10-years.

METHODS

We followed 329 participants in the longitudinal Japanese American Community Diabetes Study without MetS at baseline for its development over 10 years. Intra-abdominal (VFA) and subcutaneous abdominal (SFA) fat areas were measured at baseline and 10-years and used to calculate VSR. Logistic regression was used to estimate the odds of incident MetS by baseline and 10-year change in VSR and other adipose depots with and without adjustment for baseline MetS features. Areas under ROC curves were calculated in predicting the development of MetS.

RESULTS

99 participants developed MetS over 10-years. Logistic regression models showed a higher odds of incident MetS with greater VSR and 10-year VSR change (OR = 1.67, 95 % CI 1.11-2.51; OR = 1.46, 95 % CI 1.06-2.01, respectively) adjusting for age, sex, and MetS features at baseline. However, VSR alone performed poorly at discriminating (AUROC 0.5807) compared to VFA (AUROC 0.6970, p < 0.001) or a logistic model incorporating VFA and SFA (AUROC 0.7221, p = 0.001).

CONCLUSIONS

VSR and VFA predict 10-year MetS risk in Japanese Americans, confirming the importance of relatively greater fat distribution in the visceral depot in the development of MetS. However, VSR is a weaker predictor of MetS development and provides less information compared to VFA alone, and its further use in predicting metabolic abnormalities is not recommended.

Identifying the high-benefit population for weight management-based cardiovascular disease prevention in Japan

Background

Cardiovascular-disease (CVD) is the leading cause of death, and the association between obesity and CVD is particularly significant among women. Given the evidence highlighting the significance of weight-gain velosity, we aimed to elucidate its influence on cardio-ankle vascular index (CAVI), a reliable surrogate marker of CVD, and identify the high-benefit population where this influence is most pronounced.

Methods

This multicenter retrospective study used electronic data from annual health checkups for workers in Japan. Individuals who voluntarily measured CAVI in 2019 were included, and weight-gain velosity was defined as the mean BMI gain from 2015 to 2019. Our primary outcome was the relationship between weight-gain velosity and CAVI.

Results

Among 459 individuals, 53 had CAVI ≥ 9. Random forest analysis revealed that age was the most important factor, followed by lipid metabolism, weight-gain velosity, and glucose metabolism, with sex being the least important. Non-linear regression analysis of the effect of age on CAVI ≥ 9 showed the effect was pronounced after age 60, and the trend was greater in women. Among individuals aged 60 or younger, the aOR of weight-gain velosity for CAVI ≥ 9 was significantly positive (aOR 11.95, 95 %CI 1.13-126.27), while it was not significant for those older than 60. The relationship between weight-gain velosity and CAVI provides a new perspective on CVD risk factors. The effects of age, especially after 60, and weight-gain velosity in early- to middle-adulthood on arterial stiffness are emphasized.

Conclusions

These findings underscore the importance of weight management under age 60, especially in women.

Deep vein thrombosis and its risk factors in neurodegenerative diseases: A markedly higher incidence in Parkinson's disease

BACKGROUND

Information on the incidence and risk factors of deep vein thrombosis (DVT) in neurodegenerative diseases is limited. We aimed to determine the incidence of DVT among neurodegenerative disorders (amyotrophic lateral sclerosis [ALS], Parkinson's disease [PD], multiple system atrophy [MSA], and progressive supranuclear palsy [PSP]-corticobasal syndrome [CBS]) and the risk factors for the development of DVT.

METHODS

Overall, 229 hospitalized patients with neurodegenerative diseases (65 patients with ALS, 61 with PD, 53 with MSA, and 50 with PSP-CBS) were included in this study. D-dimer value and ultrasonography of the leg vein were assessed to determine the presence or absence of leg DVT. We compared the DVT incidence among each disease group. To identify the risk factors for DVT, a multivariate analysis was performed.

RESULTS

Of 229 patients, 34 had leg DVT; the incidence was significantly higher in patients with PD (38%) than in those with ALS (2%), MSA (5%), or PSP-CBS (4%). Patients with DVT were older, had a smaller waist circumference, had a longer disease duration, and had a high blood pressure (BP) variability. Multivariate analysis revealed that a PD diagnosis and female sex, with a high BP variability were predictive of leg DVT.

CONCLUSIONS

Among the neurodegenerative diseases, the DVT incidence was markedly higher in PD than in ALS, MSA, and PSP-CBS. Several risk factors have been identified in patients with leg DVT. Recognition of these risk factors will improve patient care and guide the appropriate use of anticoagulants.

Cardio-Ankle Vascular Index and Aging: Differences between CAVI and CAVI0

BACKGROUND

Cardio-ankle vascular index (CAVI) and CAVI0 (a mathematical expression derived from CAVI, supposed to be less dependent on blood pressure), can describe arterial stiffness, considering a wide proportion of the arterial tree. The aim of this study was to examine the relationship between CAVI, CAVI0 and aging, looking at the differences between the two arterial stiffness indexes.

METHODS

A total of 191 patients (68 male, mean age 68.3 ± 14.4 years) referred to the Geriatric Ward and Outpatient Clinic at Verona University Hospital were included and underwent a comprehensive clinical evaluation. CAVI and CAVI0 were obtained for each.

RESULTS

CAVI0 steeply rises in the elderly age strata, widening the gap between CAVI and CAVI0. An inverse relationship is evident between CAVI0 and DBP in older patients, and CAVI0 is shown to be dependent on age, DBP and age-DBP interaction (R2 = 0.508). Age modifies the effect of DBP on CAVI0, but not on CAVI.

CONCLUSIONS

The real new findings of our study are that the association between CAVI0 and diastolic blood pressure (DBP) is modified by age, whereas the association between CAVI and DBP is not modified by age. From a clinical point of view, these are very important findings, as DBP decreases with aging, affecting in elderly populations the reliability of CAVI0, which strictly depends on DBP in the formula to calculate it. To monitor the effect of CV therapies, progression of CV diseases and to evaluate clinical outcomes in elderly populations, we suggest using CAVI and not CAVI0.

Associations of blood biomarkers with arterial stiffness in patients with diabetes mellitus: A population-based study

BACKGROUND

Arterial stiffness contributes to additional cardiovascular risks in diabetic patients by triggering the loss of vascular and myocardial compliance and promoting endothelial dysfunction. Thus, prevention of arterial stiffness is a public health priority, and the identification of potential biomarkers may provide benefits for early prevention. This study investigates the relationships between serum laboratory tests and pulse wave velocity (PWV) tests. We also investigated the associations between PWV and all-cause mortality.

METHODS

We examined a panel of 33 blood biomarkers among diabetic populations in the Atherosclerosis Risk in Communities Study. The carotid-femoral (cfPWV) and femoral-ankle PWV (faPWV) were measured using an automated cardiovascular screening device. The aortic-femoral arterial stiffness gradient (afSG) was calculated as faPWV divided by cfPWV. Biomarker levels were log-transformed and correlated with PWV. Cox proportional hazard models were employed for survival analysis.

RESULTS

Among 1079 diabetic patients, biomarkers including high-density lipoprotein cholesterol, glycated hemoglobin, high-sensitivity troponin T, cystatin C, creatinine, and albuminuria were significantly correlated with afSG (R = 0.078, -0.193, -0.155, -0.153, -0.116, and -0.137, respectively) and cfPWV (R = -0.068, 0.175, 0.128, 0.066, 0.202, and 0.062, respectively). Compared with the lowest tertile of afSG, the risk of all-cause mortality was lower in the highest tertile (hazard ratio 0.543; 95% confidence interval 0.328-0.900).

CONCLUSION

Certain biomarkers related to blood glucose monitoring, myocardial injury, and renal function significantly correlated with PWV, suggesting that these putative risk factors are likely to be important atherosclerosis mechanisms in diabetic patients. AfSG may be an independent predictor of mortality among diabetic populations.

Associations of three thermogenic adipokines with metabolic syndrome in obese and non-obese populations from the China plateau: the China Multi-Ethnic Cohort

OBJECTIVES

High altitude exposure decreases the incidence of obesity and metabolic syndrome, but increases the expression of the thermogenic adipokines (leptin, fat cell fatty acid-binding protein (A-FABP) and visfatin). This study investigated the correlation of these adipokines with obesity and metabolic syndrome (MetS) in populations residing in a plateau-specific environment.

DESIGN

Case-control study.

SETTING

We cross-sectionally analysed data from the China Multi-Ethnic Cohort.

PARTICIPANTS

A total of 475 obese (OB, body mass index (BMI)≥28.0 kg/m²) plateau Han people and 475 age, sex and region-matched non-obese (NO, 18.5≤BMI<24.0 kg/m²) subjects were recruited. MetS was defined according to the National Cholesterol Education Program Adult Treatment Panel III guidelines.

PRIMARY AND SECONDARY OUTCOME MEASURES

Data with normal distributions were expressed as the mean (Stanard Deviation, SD), and data with skewed distributions were expressed as the median (Interquartile Range, IQR). The participants were grouped and the rank-sum test, χ² test or t-tests was used for comparing groups. Spearman correlation coefficients were estimated to assess the relationships among leptin, A-FABP, visfatin and the components of MetS in each group.

RESULTS

A-FABP was an independent predictor of OB (OR, 1.207; 95% CI, 1.170 to 1.245; p<0.05), ABSI (OR, 1.035; 95%CI, 1.019 to 1.052; p<0.05) and MetS (OR, 1.035; 95% CI, 1.013 to 1.057; p<0.05). Leptin was an independent predictor of MetS in the NO group. Visfatin was an independent predictor of increased ABSI, but not for OB or MetS.

CONCLUSION

An abnormally elevated plasma A-FABP level, but not leptin or visfatin is a potential risk factor for MetS in high-altitude populations.

Functionally Significant Variants in Genes Associated with Abdominal Obesity: A Review

The high prevalence of obesity and of its associated diseases is a major problem worldwide. Genetic predisposition and the influence of environmental factors contribute to the development of obesity. Changes in the structure and functional activity of genes encoding adipocytokines are involved in the predisposition to weight gain and obesity. In this review, variants in genes associated with adipocyte function are examined, as are variants in genes associated with metabolic aberrations and the accompanying disorders in visceral obesity.

Possible Clinical Benefits of Cardio-Ankle Vascular Index Measurement in Urological Diseases

Many factors are considered to affect vascular physiology. It is known that one of the reasons for many diseases is a pathology at the microvascular level. Therefore, the relationship between endothelial dysfunction and many diseases is currently being investigated. The clinical evaluations of arterial stiffness have made it possible to perform necessary risk assessment regarding cardiovascular diseases. In this way, protective measures can be taken against microvascular pathologies in many organs. In this paper, we present a review of studies investigating the relationship between urological conditions and the cardio-ankle vascular index (CAVI), a marker of arterial stiffness. As with erectile dysfunction, some studies have shown that conditions such as lower urinary tract symptoms, overactive bladder, and chronic kidney disease are also associated with an elevated CAVI. The association of erectile dysfunction and chronic kidney disease with vascular pathologies has been clearly demonstrated. In addition, lower urinary tract symptoms may be the first sign of silent vascular dysfunction. Assessing arterial stiffness with CAVI can help prevent future cardiovascular events in these patients.

Epigenome-wide association study of physical activity and physiological parameters in discordant monozygotic twins

An epigenome-wide association study (EWAS) was performed on buccal cells from monozygotic-twins (MZ) reared together as children, but who live apart as adults. Cohorts of twin pairs were used to investigate associations between neighborhood walkability and objectively measured physical activity (PA) levels. Due to dramatic cellular epigenetic sex differences, male and female MZ twin pairs were analyzed separately to identify differential DNA methylation regions (DMRs). A priori comparisons were made on MZ twin pairs discordant on body mass index (BMI), PA levels, and neighborhood walkability. In addition to direct comparative analysis to identify specific DMRs, a weighted genome coexpression network analysis (WGCNA) was performed to identify DNA methylation sites associated with the physiological traits of interest. The pairs discordant in PA levels had epigenetic alterations that correlated with reduced metabolic parameters (i.e., BMI and waist circumference). The DNA methylation sites are associated with over fifty genes previously found to be specific to vigorous PA, metabolic risk factors, and sex. Combined observations demonstrate that behavioral factors, such as physical activity, appear to promote systemic epigenetic alterations that impact metabolic risk factors. The epigenetic DNA methylation sites and associated genes identified provide insight into PA impacts on metabolic parameters and the etiology of obesity.

Diet Composition, Anthropometrics, and Mortality Risk

While overeating is considered a cause of the obesity epidemic as quantified by body mass index (BMI), the association of diet with a body shape index (ABSI) and hip index (HI), which are transformations of waist and hip circumference that are independent of BMI and which predict mortality risk, is poorly known. We used data from the Atherosclerosis Risk in Communities (ARIC) study of about 15,000 middle-aged adults to investigate associations between macronutrient intake (energy, carbohydrate, protein, and fat, the latter two divided into plant and animal sources, all based on self-reported food frequency) with anthropometric indices (BMI, ABSI, and HI). We also analyzed the association of diet and anthropometrics with death rate during approximately 30 years of follow-up. High intake of energy and animal fat and protein was generally associated with higher ABSI and lower HI at baseline, as well as greater mortality hazard. BMI was also positively linked with animal fat and protein intake. In contrast, higher intake of carbohydrates and plant fat and protein was associated with lower ABSI and BMI, higher HI, and lower mortality hazard. For example, after adjustment for potential confounders, each standard deviation of additional plant fat intake (as a fraction of total energy) was associated with a 5% decrease in mortality rate, while animal fat intake was associated with a 5% mortality increase per standard deviation. The directions of the associations between diet and anthropometrics are consistent with those found between anthropometrics and mortality without reference to diet.