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

AIM: Adult growth hormone deficiency (AGHD) refers to decreased secretion of growth hormones in the adults, which is associated with increased clustering of conventional cardiovascular risk factors such as central obesity, insulin resistance and dyslipidemia. Metabolic syndrome (MetS), a recognized risk factor of cardiovascluar diseases, shares some clinical features. Given that the prevalence of MetS is on the rise in patients with AGHD, and that cardiovascular disease (CVD) is an important cause of morbidity and mortality in that population, the alternative, simple, non-invasive methods of assessing MetS among this population are needed. This study aims to determine the sensitivity of five anthropometric indices [Body mass index (BMI), Waist circumference (WC), Waist-to-hip ratio (WHR), Waist-to-height ratio (WHtR) and Visceral adiposity index (VAI)] in predicting metabolic syndrome in Chinese population-based patients with adult growth hormone deficiency. MATERIALS AND METHODS: A total of 96 Chinese patients with adult growth hormone deficiency were included in this study. They were compared with equal number of apparently healthy persons with similar characteristics (matched with age and gender) to the previous group. Anthropometric measurements including weight, height, serum lipids indices, blood pressure (BP), fasting plasma glucose (FPG), WC were measured. BMI, WHR, WHtR, and VAI were calculated. RESULTS AND DISCUSSION: AGHD patients with MetS had higher WC (91.00 ± 8.28 vs 78.01 ± 7.12), BMI (24.95 ± 2.91 VS 23.30 ± 2.80), WHR (0.92 ± 0.06 VS 0.87 ± 0.07), WHtR (0.53 ± 0.06 VS 0.47 ± 0.05), VAI [(5.59 (4.02, 7.55) VS 1.69 (0.87, 3.05)] levels in comparison to those without MetS. Meantime WC, BMI, WHR, WHtR, VAI was positively correlated to MetS components. ROC curve for participants with AGHD showed that VAI had the highest SS of 92% (BMI 0.812; WHR 0.706; WHtR 0.902; VAI 0.920, respectively) for prediction of MetS in AGHD. The optimal cutoff values for different adiposity markers in predicting MetS were as follows: WC (79.65), BMI (23.46); WHR (0.89); WHtR (0.54); VAI (2.29). CONCLUSION: In conclusion, our study showed all adiposity measures of interest present themselves as easy and practical tools for use in population studies and clinical practice for evaluating MetS in AGDH and VAI was identified as the best in Chinese AGHD patients among them.

Lipid Accumulation Product: a Simple and Accurate Index for Predicting Metabolic Syndrome in Patients with Adult Growth Hormone Deficiency.

PURPOSE: It has been demonstrated that metabolic risk factors were increased in adult growth hormone deficiency (AGHD) patients. Lipid accumulation product (LAP) is a novel biomarker of central lipid accumulation related to risk of metabolic syndrome (MS), diabetes and cardiovascular disease. The aim of this study was to investigate the ability of LAP to identify MS in AGHD Patients. MATERIALS AND METHODS: In this cross-sectional study, 75 AGHD patients and 75 controls matched with age and gender were enrolled. The general anthropometries and blood biochemical indexes were measured. Body mass index(BMI), waist-hip ratio (WHR), LAP, HOMA-IR were calculated. Receiver operating characteristic (ROC) analysis was used to find out the cut-off points of LAP to predict MS. RESULTS: Compared with control group, waist circumference (WC), WHR, Systolic blood pressure (SBP), Diastolic blood pressure (DBP), total cholesterol (TC), triglyceride (TG) and LAP were increased in AGHD group, while high density lipoprotein cholesterol (HDL-c) level was lower in AGHD group (P<0.05). The prevalence of MS was 41.3% in AGHD patients. AGHD patients with MS had significantly higher LAP levels compared to those without MS. LAP was highly correlated with components of MS. ROC analysis showed that LAP was a significant discriminator for MS in AGHD patients, and the optimal cutoff point of LAP to predict MS was 44.96 (96.8% sensitivity, 86.4% specificity). CONCLUSIONS: LAP was associated with MS and had a strong and reliable diagnostic accuracy for MS in AGHD patients.