title: Sensitivity of various body indices and visceral adiposity index in predicting metabolic syndrome among Chinese patients with adult growth hormone deficiency.
abstract: OBJECTIVE
  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.
  
  
  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.
  
  
  CONCLUSIONS
  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).
  
  
  CONCLUSIONS
  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.
authors.affiliation: Department of Endocrinology, Chongqing Medical University First Affiliated Hospital, #1 You-Yi Rd., Yu-zhong District, Chongqing, 400016, China.
authors.forename: L
authors.initials: L
authors.lastname: Qing
authors.affiliation: Department of Endocrinology, Chongqing Medical University First Affiliated Hospital, #1 You-Yi Rd., Yu-zhong District, Chongqing, 400016, China. weiren67@aliyun.com.
authors.forename: R
authors.initials: R
authors.lastname: Wei
authors.affiliation: Department of Endocrinology, Chongqing Medical University First Affiliated Hospital, #1 You-Yi Rd., Yu-zhong District, Chongqing, 400016, China.
authors.forename: L
authors.initials: L
authors.lastname: Chan
authors.affiliation: Department of Endocrinology, Chongqing Medical University First Affiliated Hospital, #1 You-Yi Rd., Yu-zhong District, Chongqing, 400016, China.
authors.forename: Z
authors.initials: Z
authors.lastname: Xiaoya
authors.affiliation: Department of Endocrinology, Chongqing Medical University First Affiliated Hospital, #1 You-Yi Rd., Yu-zhong District, Chongqing, 400016, China.
authors.forename: X
authors.initials: X
authors.lastname: Xin
mesh_terms: D050154:Adiposity; D000328:Adult; D044466:Asian People; D015992:Body Mass Index; D002318:Cardiovascular Diseases / Q000175:diagnosis / Q000209:etiology; D016022:Case-Control Studies; D005260:Female; D006130:Growth Disorders / Q000150:complications*; D019382:Human Growth Hormone / Q000172:deficiency*; D006801:Humans; D050152:Intra-Abdominal Fat / Q000503:physiopathology*; D008297:Male; D024821:Metabolic Syndrome / Q000175:diagnosis* / Q000209:etiology; D008875:Middle Aged; D056128:Obesity, Abdominal / Q000150:complications*; D012372:ROC Curve; D012307:Risk Factors; D055105:Waist Circumference; D049629:Waist-Hip Ratio
chemical_list: D019382:Human Growth Hormone
keywords: Adult growth hormone deficiency; Body adiposity index; Metabolic syndrome; Visceral adiposity index