Sensitivity of various body indices and visceral adiposity index in predicting metabolic syndrome among Chinese patients with adult growth hormone deficiency

Predictive power of lipid-related indicators for testosterone deficiency: a comparative analysis, NHANES 2011-2016

BACKGROUND

Studies have shown that lipid-related indicators are associated with testosterone deficiency. However, it is difficult to determine which indicator is the most accurate predictor of testosterone deficiency. We aimed to identify the lipid-related indicators most predictive of testosterone deficiency in adults in the United States.

METHODS

This observational research was conducted on a population aged ≥ 20 years. By plotting the receiver operating characteristic curve (ROC) and obtaining the corresponding area under the curve (AUC) value, we assessed the predictive capacity of TyG, WTI, LAP, and VAI for testosterone deficiency. We compared the area under the curve (AUC) values of these measures to determine if there were any statistically significant differences. The relationship between lipid-related indices and testosterone hormones was investigated using regression modeling, eXtreme Gradient Boosting (XGBoost) modeling, and sensitivity analysis.

RESULTS

A total of 3,272 eligible participants were included in the study. Testosterone deficiency was found to exist in 20.63% of the participants. Subjects with higher lipid-related markers were more likely to have lower testosterone levels. LAP was the best predictor of testosterone deficiency in ROC analysis over other indicators (AUC = 0.7176, (95% CI: 0.6964-0.7389)).

CONCLUSION

LAP is the most straightforward and convenient indicator for identifying testosterone deficiency in clinical practice.

Four-years change of BMI and waist circumference are associated with metabolic syndrome in middle-aged and elderly Chinese

The purpose of the study was to determine whether changes in body mass index (BMI) and waist circumference (WC) in middle-aged and elderly Chinese are associated with metabolic syndrome. In this cohort investigation, 3697 middle-aged and elderly people aged 45 or over were recruited from the China Health and Retirement Longitudinal Study (CHARLS). The National Cholesterol Education Program Adult Treatment Panel III (2005) defined metabolic syndrome (MetS). With Cox regression analysis, we calculated hazard ratio (HR) and 95% confidence intervals (CIs) for MetS based on BMI-WC change categories. To assess the prevalence of MetS, the changes in BMI and WC levels were classified into four quartiles based on their relative and absolute changes. In subjects whose BMI and WC decreased (HR = 0.338; 95% CIs 0.264, 0.433) as well as those whose BMI increased and their WC decreased (HR = 0.375; 95% CIs 0.228, 0.499), metabolic syndrome risk was significantly lower compared with those with increases in both BMI and WC. Regarding the absolute changes in BMI, the lowest percentile of BMI was significantly lower in both males (HR = 0.302; 95% CIs 0.204, 0.448) and females (HR = 0.486; 95% CIs 0.354, 0.667) for the risk of metabolic syndrome. Similar results were observed in the absolute changes in WC, with the lowest quantile of WC having a significant impact on MetS risk in males (HR = 0.170; 95% CIs 0.107, 0.270) and females (HR = 0.303; 95% CIs 0.217, 0.424). The risk of metabolic syndrome was significantly associated with changes in BMI and WC in middle-aged and elderly Chinese. A reduced BMI and WC are associated with lower metabolic syndrome risks in middle-aged and elderly people.

Predictive ability of anthropometric indices in identifying metabolic syndrome among US adolescents 10 to 19 years old: Analysis from the National Health and Nutrition Examination Survey 2011 to 2018 data set

OBJECTIVE

The aim of this study was to identify the best anthropometric indices for predicting metabolic syndrome in US adolescents.

METHODS

A cross-sectional study analyzed data of adolescents ages 10 to 19 y using the National Health and Nutrition Examination Survey 2011 to 2018 data. The receiver operating characteristic areas under the curve (AUCs) of waist circumference z score, body roundness index, body mass index, and A Body Shape Index in identifying predicting metabolic syndrome were assessed. Furthermore, sensitivity, specificity, positive predictive value, negative predictive value, and positive and negative likelihood ratios of all anthropometric indices were calculated.

RESULTS

A total of 5496 adolescents were included in the analysis. Waist circumference z score had an AUC of 0.90 (95% CI, 0.89-0.91), sensitivity of 95.0% (95% CI, 89.4-98.1), and specificity of 74.8% (95% CI, 73.6, 76.0). Body roundness index had an AUC of 0.88 (95% CI, 0.87-0.89), sensitivity of 96.7% (95% CI, 91.7-99.1), and specificity of 75.2% (95% CI, 74.1-76.4). Body mass index z score had an AUC of 0.83 (95% CI, 0.81-0.85), sensitivity of 97.5% (95% CI, 92.9-99.5), and specificity of 68.2% (95% CI, 66.9-69.4). A Body Shape Index had an AUC of 0.59 (95% CI, 0.56-0.61), sensitivity of 75.0% (95% CI, 66.3-82.5), and specificity of 50.9% (95% CI, 49.5-52.2).

CONCLUSIONS

Our study found waist circumference z score and body roundness index were the best predictors of predicting metabolic syndrome compared with body mass index z score and A Body Shape Index in both boys and girls. We recommend that future studies develop global cutoff points for these anthropometric indices and examine their performance in a multi-country setting.

The association between the dietary pattern in abdominal obesity based on visceral fat index and dyslipidaemia in the Henan Rural Cohort Study

The present study aimed to explore the association between dietary patterns in abdominal obesity obtained by reduced-rank regression (RRR) with visceral fat index (VFI) as a dependent variable and dyslipidemia in rural adults in Henan, China. A total of 29538 people aged 18-79 were selected from the Henan Rural Cohort Study. RRR analysis was used to identify dietary patterns; logistic regression analysis and restricted cubic spline regression models were applied to analyze the association between dietary patterns in abdominal obesity and dyslipidemia. VFI was used as a mediator to estimate the mediation effect. The dietary pattern in abdominal obesity was characterized by high carbohydrate and red meat intake and low consumption of fresh fruits, vegetables, milk, etc. After full adjustment, the highest quartile of dietary pattern scores was significantly associated with an increased risk of dyslipidemia (OR: 1·33, 95 % CI 1·23-1·44, P_trend < 0·001), there was a non-linear dose-response relationship between them (P_{overall-association} < 0·001, P_{non-lin-association} = 0·022). The result was similar in dose-response between the dietary pattern scores and VFI. The indirect effect partially mediated by VFI was significant (OR: 1·07, 95 % CI 1·06-1·08). VIF explained approximately 53·3 % of odds of dyslipidemia related to the dietary pattern. Abdominal obesity dietary pattern scores positively affected VFI and dyslipidemia; there was a dose-response in both relationships. Dyslipidemia progression increased with higher abdominal obesity dietary pattern scores. In addition, VFI played a partial mediating role in relationship between abdominal obesity dietary pattern and dyslipidemia.

Visceral adiposity index is positively associated with blood pressure: A systematic review

PURPOSE

This systematic review aimed to investigate the association between VAI and blood pressure.

METHODS

The study was according to the PRISMA standards and the bibliographic search in the PubMed, EMBASE and Cochrane Library databases.

RESULTS

This review included 32 articles, with 60,482 individuals - children to elderly people between 7 and 102 years old - of different age groups, most of them female (54.9%; n = 26,478). The year of publication ranged from 2010 to 2020, indicating that it is a recent theme, applied in almost all continents (America, Europe, Africa and Asia). The authors used data as continuous or into quantiles; blood pressure data also varied, with different cutoff points for the classification of arterial hypertension or continuously. The vast majority of studies have shown a positive association between VAI and blood pressure, both the sexes, in different age groups. The evaluation of the quality of the articles used by the Tool of the Joanna Briggs Institute according to their design.

CONCLUSION

Individuals with increased VAI have higher blood pressure levels. Registration (PROSPERO: CRD42020205965).

Impact of the Glycemic Control and Duration of Type 2 Diabetes on Vitamin D Level and Cardiovascular Disease Risk

BACKGROUND AND AIMS

To investigate the impact of glycemic control and T2D duration on vitamin D status and cardiovascular disease (CVD) risk among Saudi patients.

METHODS

This case-control study was conducted in King Faisal Specialist Hospital, Saudi Arabia. A total of 25 nondiabetic controls and 92 patients with confirmed T2D, aged 20-60 years, were included. Patients with T2D were divided into the following groups based on disease duration (newly diagnosed: ≈6 months and long duration: ≥5 years) and glycemic control based on their glycated hemoglobin (HbA_1C) level with a threshold of ≤0.053 mol/mol: newly diagnosed controlled (NC, n = 25), newly diagnosed uncontrolled (NU, n = 25), newly diagnosed uncontrolled (NU, n = 25), newly diagnosed uncontrolled (NU, n = 25), newly diagnosed uncontrolled (NU.

RESULTS

Our study showed that T2D duration was an independent predictor of vitamin D deficiency. The longer disease duration, the lower odds of being vitamin D deficient (odds ratio (OR) = 0.05, 95% CI: 0.01-0.29, p < 0.05). No significant association was observed between vitamin D and HbA_1C levels. In the NU group, CVD risk scores were directly correlated with serum 25(OH)D (r = 0.53, p < 0.05). No significant association was observed between vitamin D and HbA_1C levels. In the NU group, CVD risk scores were directly correlated with serum 25(OH)D (r = 0.53, p < 0.05). No significant association was observed between vitamin D and HbA_1C levels. In the NU group, CVD risk scores were directly correlated with serum 25(OH)D (.

CONCLUSION

Duration of diabetes rather than glycemic control is associated with vitamin D deficiency. Glycemic uncontrol may augment vitamin D deficiency-associated CVD risk in both newly diagnosed and old patients with type 2 diabetes.

Prevalence of low lean mass in patients with adult growth hormone deficiency with or without low-dose growth hormone therapy

OBJECTIVE

The importance of muscle mass has been emphasized in various studies, and growth hormone (GH) deficiency is tightly associated with lean mass loss. Therefore, we aimed to investigate the prevalence of low lean mass in patients with adult growth hormone deficiency (AGHD) who received or did not receive GH therapy.

METHODS

In this retrospective study, we included patients diagnosed with AGHD by using the insulin tolerance test (ITT) in our hospital. Patients without completed follow-up data were excluded, and data for 56 patients were analysed. Twenty-six patients who had received GH therapy for more than 6 months, based on the medical record, were included in the GH group and received recombinant human growth hormone (rhGH) at a dose of 0.5 IU/d. Thirty patients who had not previously received GH treatment were included in the non-GH group. Many anthropometric and blood biochemical indicators were measured. Body composition was measured on a dual-energy X-ray-absorptiometry (DXA) scanner. Low lean mass was defined as a skeletal muscle index (SMI) <7.0 kg/m² in males or 5.7 kg/m² in females. Statistical analyses were performed using GraphPad Prism 5.0.

RESULTS

Compared to the non-GH group, the patients who received GH therapy had significantly lower total cholesterol (TC), low-density lipoprotein cholesterol (LDL-c) and fasting plasma glucose (FPG). The percentage of patients with low lean mass in GH and non-GH groups was 30.77% and 60%, respectively. The percentage of total lean was lower in the GH group than in the non-GH group, but the difference in total lean mass was not statistically significant. Conversely, patients with GH treatment had significantly lower fat mass and percentage than non-GH-treated patients (P < 0.05). The GH group had significantly higher serum levels of both IGF-1 and IGFBP3. Moreover, both IGF-1 and IGFBP3 were significantly correlated with SMI (r²  = 0.275, P = 0.003, and r²  = 0.138, P = 0.005, respectively).

CONCLUSIONS

Our data showed that AGHD patients who received low-dose GH treatment had a lower prevalence of low lean mass than those who did not receive GH treatment. Patients with GH treatment had significantly lower cardiovascular risk factors, especially the lipid profile.

Positively increased visceral adiposity index in hyperuricemia free of metabolic syndrome

Background

Visceral adiposity index (VAI) was closely associated with metabolic syndrome, however almost no research focused on VAI and hyperuricemia, therefore, this study was conducted to determine the relationship of VAI and hyperuricemia free of metabolic syndrome and estimate the power of VAI as predictor for hyperuricemia.

Methods

A cross-sectional research coming from a health check-up program was conducted. All participants were divided into four groups according to VAI quartiles. A multivariate logistic analysis was used to analyze the relationship between the quartiles and hyperuricemia. A receiver operating characteristic (ROC) curve analysis was used to evaluate the accuracy of predictions for hyperuricemia.

Results

VAI was independent risk factor of hyperuricemia. The ORs of which in the upper quartile were 3.077 (95%CI 1.78-5.293), P = 0.000, in model 1, after adjusting for age, systolic blood pressure, diastolic blood pressure, heart rate, fast plasma glucose, serum creatinine, triglyceride, total cholesterol, high density lipoprotein cholesterol, and low density lipoprotein cholesterol; and 3.041 (95CI 1.767-5.233), P = 0.000, in model 2, after adjusting for the above plus physical activity, diet, smoking habits, alcohol consumption, hypertension and diabetes history. The area under the ROC curve (AUC) value of VAI was 0.618 (95%CI 0.572-0.665), P = 0.000; it was higher than WC, which was 0.556 (95%CI 0.508-0.604), P = 0.024, for hyperuricemia.

Conclusions

VAI was associated with hyperuricemia among individuals free of metabolic syndrome, and also a powerful indicator.

Correlation between adrenal function, growth hormone secretion, and insulin sensitivity in children with idiopathic growth hormone deficiency

PURPOSE

Patients with growth hormone deficiency (GHD) demonstrate an increased cortisol/cortisone ratio which could potentially explain the metabolic features of GHD, while GH treatment (GHT) could increase the cortisol metabolism.

METHODS

In 35 children (27 M, mean age 10.1 years) with idiopathic GHD at baseline and after 12 months of GHT and in 25 controls, in addition to metabolic parameters, we assessed adrenal function by morning serum cortisol, its peak, and its area under the curve (AUC_COR) during insulin tolerance test (ITT).

RESULTS

A cortisol peak <18 µg/dl was shown in 22 and 31% of GHD children at baseline and after GHT, respectively. At baseline, GHD children had lower fasting glucose (p < 0.001) and ISI-Matsuda (p = 0.042), with concomitant higher Homa-IR (p = 0.006) and morning cortisol (p = 0.012) than controls. Morning cortisol was negatively correlated with GH (p < 0.001), fasting glucose (p < 0.001) and ISI-Matsuda (p < 0.001) and positively with Homa-IR (p = 0.010). Both cortisol peak and AUC_COR were negatively correlated with GH (all p < 0.001) and ISI-Matsuda (p = 0.016 and p = 0.001, respectively). After 12 months of GHT, a significant increase in fasting glucose (p < 0.001), and Homa-IR (p = 0.011) was documented, with a concomitant decrease in morning cortisol (p = 0.002), AUC_COR (p = 0.038), total (p = 0.003) and LDL-cholesterol (p = 0.016). No significant correlations were found among cortisol levels and all parameters were investigated.

CONCLUSIONS

Cortisol levels correlate with GH secretion and with many metabolic parameters in GHD children, while the metabolic effects during GHT are mainly due to GHT per se and less to cortisol reduction.