1
|
Hu X, Yang Z, Ge W, Ding Y, Zhong Y, Long J, Zhu X, Hu J, Yin J. Evaluating eight indicators for identifying metabolic syndrome in Chinese and American adolescents. Pediatr Res 2024:10.1038/s41390-024-03247-8. [PMID: 38745029 DOI: 10.1038/s41390-024-03247-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/21/2023] [Revised: 04/11/2024] [Accepted: 04/14/2024] [Indexed: 05/16/2024]
Abstract
BACKGROUND Early intervention and diagnosis of Metabolic Syndrome (MetS) are crucial for preventing adult cardiovascular disease. However, the optimal indicator for identifying MetS in adolescent remains controversial. METHODS In total,1408 Chinese adolescents and 3550 American adolescents aged 12-17 years were included. MetS was defined according to the modified version for adolescents based on Adult Treatment Panel III (NCEP-ATP III) criteria. Areas under the curve (AUC) and corresponding 95% confidence interval (95% CI) of 8 anthropometric/metabolic indexes, such as waist circumference (WC), body mass index (BMI), a body shape index (ABSI), waist triglyceride index (WTI), were calculated to illustrate their ability to differentiate MetS. Sensitivity analysis using the other MetS criteria was performed. RESULTS Under the modified NCEP-ATP III criteria, WTI had the best discriminating ability in overall adolescents, with AUC of 0.922 (95% CI: 0.900-0.945) in Chinese and 0.959 (95% CI: 0.949-0.969) in American. In contrast, ABSI had the lowest AUCs. Results of sensitivity analysis were generally consistent for the whole Chinese and American population, with the AUC for WC being the highest under some criteria, but it was not statistically different from that of WTI. CONCLUSIONS WTI had relatively high discriminatory power for MetS detection in Chinese and American adolescents, but the performance of ABSI was poor. IMPACT While many studies have compared the discriminatory power of some anthropometric indicators for MetS, there are few focused on pediatrics. The current study is the first to compare the discriminating ability of anthropometric/metabolic indicators (WC, BMI, TMI, ABSI, WHtR, VAI, WTI, and TyG) for MetS in adolescents. WTI remains the optimal indicator in screening for MetS in adolescents. WC was also a simple and reliable indicator when screening for MetS in adolescents, but the performance of ABSI was poor. This study provides a theoretical basis for the early identification of MetS in adolescents by adopting effective indicators.
Collapse
Affiliation(s)
- Xuan Hu
- Department of Epidemiology and Health Statistics, Medical College of Soochow University, Suzhou, Jiangsu, China
| | - Zhuoqiao Yang
- Department of Epidemiology and Health Statistics, Medical College of Soochow University, Suzhou, Jiangsu, China
| | - Wenxin Ge
- Department of Maternal and Child Health, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Yaling Ding
- Department of Epidemiology and Health Statistics, Medical College of Soochow University, Suzhou, Jiangsu, China
| | - Yi Zhong
- Department of Epidemiology and Health Statistics, Medical College of Soochow University, Suzhou, Jiangsu, China
| | - Jianing Long
- Department of Epidemiology and Health Statistics, Medical College of Soochow University, Suzhou, Jiangsu, China
| | - Xiaoyan Zhu
- Suzhou Center for Disease Prevention and Control, Suzhou, Jiangsu, China
| | - Jia Hu
- Suzhou Center for Disease Prevention and Control, Suzhou, Jiangsu, China.
| | - Jieyun Yin
- Department of Epidemiology and Health Statistics, Medical College of Soochow University, Suzhou, Jiangsu, China.
- Jiangsu Key Laboratory of Preventive and Translational Medicine for Major Chronic Non-communicable Diseases, Suzhou, Jiangsu, China.
| |
Collapse
|
2
|
Bazyar H, Zare Javid A, Masoudi MR, Haidari F, Heidari Z, Hajializadeh S, Aghamohammadi V, Vajdi M. Assessing the predictive value of insulin resistance indices for metabolic syndrome risk in type 2 diabetes mellitus patients. Sci Rep 2024; 14:8917. [PMID: 38632455 PMCID: PMC11024148 DOI: 10.1038/s41598-024-59659-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2023] [Accepted: 04/12/2024] [Indexed: 04/19/2024] Open
Abstract
Limited research has explored the effectiveness of insulin resistance (IR) in forecasting metabolic syndrome (MetS) risk, especially within the Iranian population afflicted with type 2 diabetes mellitus (T2DM). The present investigation aimed to assess the efficacy of IR indices in predicting the risk of MetS among T2DM patients. Convenient sampling was utilized to select four hundred subjects with T2DM. Metabolic factors and IR indices, including the Waist Circumference-Triglyceride Index (WTI), Triglyceride and Glucose Index (TyG index), the product of TyG index and abdominal obesity indices, and the Metabolic Score for Insulin Resistance (METS-IR), were evaluated. Logistic regression, coupled with modeling, was employed to explore the risk of MetS. The predictive performance of the indices for MetS stratified by sex was evaluated via receiver operating characteristic (ROC) curve analysis and estimation of the area under the curve (AUC) values. The TyG-Waist Circumference (TyG-WC) index exhibited the largest AUCs in both males (0.91) and females (0.93), while the TyG-Body Mass Index (TyG-BMI) demonstrated the smallest AUCs (0.77 in males and 0.74 in females). All indices significantly predicted the risk of MetS in all subjects before and after adjustment (p < 0.001 for all). The TyG-WC index demonstrated the highest odds ratios for MetS (8.06, 95% CI 5.41-12.00). In conclusion, all IR indices assessed in this study effectively predicted the risk of MetS among Iranian patients with T2DM, with the TyG-WC index emerging as the most robust predictor across both genders.
Collapse
Affiliation(s)
- Hadi Bazyar
- Student Research Committee, Sirjan School of Medical Sciences, Sirjan, Iran
- Department of Public Health, Sirjan School of Medical Sciences, Sirjan, Iran
| | - Ahmad Zare Javid
- Nutrition and Metabolic Diseases Research Center, Clinical Sciences Research Institute, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran
- Department of Nutrition, School of Allied Medical Sciences, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran
| | | | - Fatemeh Haidari
- School of Health, Medical and Applied Sciences, Central Queensland University, Brisbane, Australia
| | - Zeinab Heidari
- Student Research Committee, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran
| | | | | | - Mahdi Vajdi
- Department of Community Nutrition, School of Nutrition and Food Science, Isfahan University of Medical Sciences, Isfahan, Iran.
| |
Collapse
|
3
|
Huang J, Han J, Rozi R, Fu B, Lu Z, Liu J, Ding Y. Association between lipid accumulation products and osteoarthritis among adults in the United States: A cross-sectional study, NHANES 2017-2020. Prev Med 2024; 180:107861. [PMID: 38244933 DOI: 10.1016/j.ypmed.2024.107861] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/01/2023] [Revised: 01/15/2024] [Accepted: 01/17/2024] [Indexed: 01/22/2024]
Abstract
OBJECTIVE Using cross-sectional data from the 2017-2020 National Health and Nutrition Examination Survey (NHANES) for American, the aim of this research is to investigate the potential association between Lipid Accumulation Products (LAP) and the risk of osteoarthritis (OA). METHODS Data from the NHANES (2017-2020) were downloaded and further analyzed. The participants between 20 and 80 years reported having OA, and other relevant variables and information on LAP were included. The linear and non-linear associations between LAP and OA were evaluated using multivariable logistic regression analysis and smoothed curve fitting methods. A two-part linear regression model was also used to estimate threshold effects. RESULTS The increased risk of OA was shown to have a nonlinear relationship with higher LAP, showing a solid threshold impact with a saturation value of 120.00 cm × mmol/L, according to our data. The two variables showed a positive relationship to the left of the saturation point but no significant association to the right, pointing to a complicated nonlinear relationship between OA prevalence and LAP. CONCLUSIONS Our findings revealed that LAP was an independent risk factor for OA when it was <120.00 cm × mmol/L. The LAP index may serve as a valuable method for predicting and diagnosed OA. To validate our results, further large-scale prospective research are required.
Collapse
Affiliation(s)
- Jie Huang
- Orthopaedics of TCM Senior Department, The Sixth Medical Center of PLA General Hospital, Beijing 100048, China; Department of Orthopaedics, School of Medicine, South China University of Technology, Guangzhou 510006, China
| | - Jiaheng Han
- Orthopaedics of TCM Senior Department, The Sixth Medical Center of PLA General Hospital, Beijing 100048, China; Department of Orthopaedics, School of Medicine, South China University of Technology, Guangzhou 510006, China
| | - Rigbat Rozi
- Orthopaedics of TCM Senior Department, The Sixth Medical Center of PLA General Hospital, Beijing 100048, China
| | - Bensheng Fu
- Orthopaedics of TCM Senior Department, The Sixth Medical Center of PLA General Hospital, Beijing 100048, China
| | - Zhengcao Lu
- Orthopaedics of TCM Senior Department, The Sixth Medical Center of PLA General Hospital, Beijing 100048, China; Department of Orthopaedics, School of Medicine, Jinzhou Medical University, Jinzhou 121001, China
| | - Jiang Liu
- Orthopaedics of TCM Senior Department, The Sixth Medical Center of PLA General Hospital, Beijing 100048, China
| | - Yu Ding
- Orthopaedics of TCM Senior Department, The Sixth Medical Center of PLA General Hospital, Beijing 100048, China; Department of Orthopaedics, School of Medicine, South China University of Technology, Guangzhou 510006, China; Department of Orthopaedics, School of Medicine, Jinzhou Medical University, Jinzhou 121001, China.
| |
Collapse
|
4
|
Chen D, Lu C, Chen K, Liu T, Li Y, Shan Z, Teng W. Association between anthropometric indices and hyperuricemia: a nationwide study in China. Clin Rheumatol 2024; 43:907-920. [PMID: 38315297 DOI: 10.1007/s10067-024-06884-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2023] [Revised: 01/04/2024] [Accepted: 01/22/2024] [Indexed: 02/07/2024]
Abstract
This article explored the relationship between anthropometric indices and hyperuricemia in Chinese adults. The ability of each anthropometric index to predict hyperuricemia was also compared in this article. This is a cross-sectional study containing 69,842 samples from 31 provinces and cities in China. Anthropometric indices included body mass index (BMI), waist circumference (WC), a body shape index (ABSI), body roundness index (BRI), waist-to-height ratio (WHtR), lipid accumulation product (LAP), visceral adiposity index (VAI), triglyceride-glucose index (TyG), waist circumference-triglyceride index (WTI), and weight-adjusted waist index (WWI). The survey data obtained were disaggregated and analyzed according to sex and age. BMI, WC, BRI, WHtR, LAP, VAI, TyG, WTI, and WWI were all significantly associated with hyperuricemia (P < 0.001). In the total population, WTI (AUC 0.7015, P < 0.001) had the highest predictive power, and WWI (AUC 0.5417, P < 0.001) had the lowest. In addition, after dividing the male and female populations, LAP (AUC 0.6571, P < 0.001 for men; AUC 0.7326, P < 0.001 for women) had the highest predictive power among both men and women. The ABSI (AUC 0.5189, P < 0.001 for men; AUC 0.5788, P < 0.001 for women) had the lowest predictive power among both men and women. BMI, WC, BRI, WHtR, LAP, VAI, TyG, and WTI were positively correlated with the risk of hyperuricemia and serum uric acid concentrations in both sexes. Among the general population, WTI had the highest predictive power. After dividing the population by sex, LAP had the highest predictive power in both men and women. Key Points • Anthropometric indices are highly correlated with hyperuricemia. Waist circumference-triglyceride index (WTI) is first found to be associated with hyperuricemia, and it has high predictive power. • The predictive power of anthropometric indices for hyperuricemia is more useful in women. • The restricted cubic splines visually shows the ratio of anthropometric indices to hyperuricemia ratio and the patient's serum uric acid concentration.
Collapse
Affiliation(s)
- Deshi Chen
- The First Hospital of China Medical University, No. 155, Nanjing Bei Street, Shenyang, People's Republic of China
| | - Cihang Lu
- The First Hospital of China Medical University, No. 155, Nanjing Bei Street, Shenyang, People's Republic of China
| | - Kang Chen
- The First Hospital of China Medical University, No. 155, Nanjing Bei Street, Shenyang, People's Republic of China.
| | - Tingting Liu
- The First Hospital of China Medical University, No. 155, Nanjing Bei Street, Shenyang, People's Republic of China
| | - Yongze Li
- The First Hospital of China Medical University, No. 155, Nanjing Bei Street, Shenyang, People's Republic of China
| | - Zhongyan Shan
- The First Hospital of China Medical University, No. 155, Nanjing Bei Street, Shenyang, People's Republic of China
| | - Weiping Teng
- The First Hospital of China Medical University, No. 155, Nanjing Bei Street, Shenyang, People's Republic of China
| |
Collapse
|
5
|
Tanemura N, Kubota T, Kubota N, Chiba T. Relationship between body adiposity parameters and insulin resistance: a preliminary study of surrogate markers in Japan. Hormones (Athens) 2024:10.1007/s42000-024-00537-y. [PMID: 38396110 DOI: 10.1007/s42000-024-00537-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/14/2023] [Accepted: 02/13/2024] [Indexed: 02/25/2024]
Abstract
PURPOSE According to the Japan National Health and Nutrition Survey 2019, the proportion of people with prediabetes is estimated to be 27.3%. Western-style dietary habits can lead to obesity and a functional abnormality of the adipose tissue, which can cause insulin resistance and predispose one to diabetes. We examined the relationship between insulin resistance using body adiposity parameters as surrogate markers. METHODS This study enrolled 248 healthy participants to determine the association of six body adiposity parameters, namely, body mass index (BMI), waist circumference (WC), visceral adiposity index (VAI), lipid accumulation product index (LAP), waist circumference-triglyceride index (WTI), and triglyceride (TG)/high-density lipoprotein (HDL) ratio with insulin resistance. Receiver operating characteristics curve analyses were performed to assess the accuracy of these parameters in identifying insulin resistance. RESULTS The data of the 248 participants (women 79 and men 169) were examined in this study. WC showed the highest accuracy in the obese women group (cut-off value: 89.8 with sensitivity: 0.900 and specificity: 0.522, AUC: 0.680) and men group (cut-off value: 90.0 with sensitivity: 0.862 and specificity: 0.508, AUC: 0.701). The TG/HDL ratio showed the highest accuracy in men with non-obesity (cut-off value: 0.8 with sensitivity: 0.857 and specificity: 0.649, AUC: 0.780). CONCLUSION Application of this finding should be useful in the early screening of obesity in men with non-obesity, such as during regular health check-up with the TG/HDL ratio in addition to the usually used WC, to assess insulin resistance and prevent lifestyle-related diseases that can lead to cardiovascular events.
Collapse
Affiliation(s)
- Nanae Tanemura
- National Institutes of Biomedical Innovation, Health and Nutrition, 3-17 Senriokashinmachi, Settsu, Osaka, 566-0002, Japan.
| | - Tetsuya Kubota
- National Institutes of Biomedical Innovation, Health and Nutrition, 3-17 Senriokashinmachi, Settsu, Osaka, 566-0002, Japan
- Division of Diabetes and Metabolism, The Institute for Medical Science Asahi Life Foundation, Tokyo, Japan
- Laboratory for Intestinal Ecosystem, RIKEN Center for Integrative Medical Sciences (IMS), Yokohama, Japan
- Department of Diabetes and Metabolic Diseases, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Naoto Kubota
- Department of Diabetes and Metabolic Diseases, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
- Department of Metabolic Medicine Faculty of Life Sciences, Kumamoto University, Kumamoto, Japan
| | - Tsuyoshi Chiba
- National Institutes of Biomedical Innovation, Health and Nutrition, 3-17 Senriokashinmachi, Settsu, Osaka, 566-0002, Japan
| |
Collapse
|
6
|
Sun Q, Ren Q, Du L, Chen S, Wu S, Zhang B, Wang B. Cardiometabolic Index (CMI), Lipid Accumulation Products (LAP), Waist Triglyceride Index (WTI) and the risk of acute pancreatitis: a prospective study in adults of North China. Lipids Health Dis 2023; 22:190. [PMID: 37946249 PMCID: PMC10633920 DOI: 10.1186/s12944-023-01948-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2023] [Accepted: 10/16/2023] [Indexed: 11/12/2023] Open
Abstract
OBJECTIVE To investigate the correlation between anthropometric indexes [cardiometabolic index (CMI), lipid accumulation products (LAP), waist triglyceride index (WTI), and body mass index (BMI)] and acute pancreatitis (AP) in a Chinese adult population. METHODOLOGY The present investigation consisted of a prospective group including 117,326 subjects who were enrolled in the Kailuan investigation. The individuals were categorized into quartiles based on their baseline levels of CMI, LAP, and WIT. BMI was categorized into three distinctive groups: normal weight group (BMI < 24 kg/m2), overweight group (BMI 24-28 kg /m2), and obesity group (BMI ≥ 28 kg/m2). The data were subjected to analysis in order to investigate the correlation between these anthropometric indexes and the incidence of AP. Cox regression models were employed to assess the relative risk of AP while accounting for known risk factors through appropriate adjustments. OUTCOMES Over the course of a median follow-up duration of 12.59 ± 0.98 years, we documented 401 incident AP cases. Incidence density and cumulative incidence rates of AP increased with the increase of CMI, LAP, and WTI. After multivariate adjustment, the fourth quartile of CMI, LAP, and WTI exhibited the greatest risk of AP [CMI: hazard ratio (HR) 1.93, 95% confidential interval (CI) (1.45-2.57); LAP: HR 2.00, 95% CI(1.49-2.68); WTI: HR 2.13,95% CI (1.59-2.83)]. In comparison to the normal weight group, the obesity group (BMI ≥ 28 kg/m2) had an elevated risk of AP (HR = 1.58, 95% CI: 1.21-2.05). Furthermore, the incremental effect of BMI combined with CMI on the prognostic value of AP was greater than that of BMI alone (the C statistics demonstrated a result of 0.607 versus 0.546; the integrated discrimination improvement revealed a result of 0.321%; net reclassification improvement was 1.975%). CONCLUSION We found that CMI, LAP, and WTI were positively and independently connected to the risk of AP. Additionally, CMI demonstrates a superior prognostic capacity than other indexes in anticipating AP.
Collapse
Affiliation(s)
- Qiu Sun
- Department of Gastroenterology and Hepatology, Tianjin Medical University General Hospital, Tianjin Institute of Digestive Diseases, Tianjin Key Laboratory of Digestive Diseases, 154 Anshan Road, Heping District, Tianjin, 300052, China
- Department of Hepatobiliary, Kailuan General Hospital, No.57 Xinhua East Street, Tangshan, 063000, China
| | - Qingshuai Ren
- Deparment of Cardiovascular Surgery, North China University of Science and Technology, Tangshan, 063000, China
| | - Liming Du
- Department of Hepatobiliary, Kailuan General Hospital, No.57 Xinhua East Street, Tangshan, 063000, China
| | - Shuohua Chen
- Department of Cardiology, Kailuan General Hospital, North China University of Science and Technology, No.57 Xinhua East Street, Tangshan, 063000, China
| | - Shouling Wu
- Department of Cardiology, Kailuan General Hospital, North China University of Science and Technology, No.57 Xinhua East Street, Tangshan, 063000, China
| | - Bing Zhang
- Department of Hepatobiliary, Kailuan General Hospital, No.57 Xinhua East Street, Tangshan, 063000, China.
| | - Bangmao Wang
- Department of Gastroenterology and Hepatology, Tianjin Medical University General Hospital, Tianjin Institute of Digestive Diseases, Tianjin Key Laboratory of Digestive Diseases, 154 Anshan Road, Heping District, Tianjin, 300052, China.
| |
Collapse
|
7
|
Konikowska K, Bombała W, Szuba A, Różańska D, Regulska-Ilow B. Metabolic Syndrome Is Associated with Low Diet Quality Assessed by the Healthy Eating Index-2015 (HEI-2015) and Low Concentrations of High-Density Lipoprotein Cholesterol. Biomedicines 2022; 10:biomedicines10102487. [PMID: 36289749 PMCID: PMC9599166 DOI: 10.3390/biomedicines10102487] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2022] [Revised: 09/28/2022] [Accepted: 09/29/2022] [Indexed: 11/16/2022] Open
Abstract
Presenting diet quality of patients with metabolic syndrome (MetS), using a holistic approach is more useful than investigating dietary individual components, but there is still a small amount of research in this area. The aim of this study assessed the diet quality, as measured by the HEI-2015, of MetS patients compared to healthy individuals. The study and control group consisted of 215 patients with MetS and 320 people without MetS, respectively. A nutritional analysis using a semi-quantitative food frequency questionnaire was used to evaluate the nutritional habits in the study and control group. Total HEI-2015 scores were significantly lower in MetS subjects than in those in the control group (65.04 ± 9.71 vs. 66.75 ± 8.88) and the quality of women’s diets was better than the quality of men’s diet (66.83 ± 8.99 vs. 64.75 ± 9.57). We also observed that low HDL-c concentration increased the risk of MetS in the general population the most. Across the population, there was a weak positive correlation between HDL-c concentrations and total HEI-2015 scores and a weak negative correlation between mean waist circumference values and total HEI-2015 scores. HDL-c concentrations may be a key factor in the prevention of MetS and appropriate therapeutic management to increase HDL-c levels may be of key importance in patients diagnosed with MetS.
Collapse
Affiliation(s)
- Klaudia Konikowska
- Department of Dietetics, Wroclaw Medical University, Borowska Street 211, 50-556 Wroclaw, Poland
- Correspondence:
| | - Wojciech Bombała
- Statistical Analysis Center, Wroclaw Medical University, Marcinkowski Street 2-6, 50-368 Wroclaw, Poland
| | - Andrzej Szuba
- Department of Angiology, Hypertension and Diabetology, Wroclaw Medical University, Borowska Street 213, 50-556 Wroclaw, Poland
| | - Dorota Różańska
- Department of Dietetics, Wroclaw Medical University, Borowska Street 211, 50-556 Wroclaw, Poland
| | - Bożena Regulska-Ilow
- Department of Dietetics, Wroclaw Medical University, Borowska Street 211, 50-556 Wroclaw, Poland
| |
Collapse
|
8
|
AbdAlla Salman M, Rabiee A, Salman A, Elewa A, Tourky M, Mahmoud AA, Moustafa A, El-Din Shaaban H, Ismail AA, Noureldin K, Issa M, Farah M, Barbary H, Elhaj MGF, Omar HS. Predictors of type-2 diabetes remission following bariatric surgery after a two-year follow up. Asian J Surg 2022; 45:2645-2650. [DOI: 10.1016/j.asjsur.2021.12.070] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2021] [Revised: 12/05/2021] [Accepted: 12/24/2021] [Indexed: 12/29/2022] Open
|
9
|
Sebai I, Oueslati I, Yazidi M, Chaker F, Abdessalem H, Grira W, Amrouch C, Chihaoui M. Interest of the waist-to-height ratio to predict metabolic syndrome in type 2 diabetic patients. LA TUNISIE MEDICALE 2022; 100:137-142. [PMID: 35852248 PMCID: PMC9274779] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
Abstract
INTRODUCTION Metabolic syndrome (MetS) is defined as a cluster of risk factors for cardiovascular disease. AIM To determine the optimal cut-off point of the waist-to-height ratio (WHtR) at which MetS can be identified with maximum sensitivity and specificity in a sample of Tunisian type 2 diabetic patients. METHODS We enrolled 457 type 2 diabetic patients in a cross-sectional study. Blood pressure, anthropometric indices, fasting glucose, and lipid profile were measured. WHtR was calculated. MetS was defined according to the IDF criteria. Receiver operating characteristic (ROC) curve analysis was used to identify the optimal cut-off value of WHtR in MetS screening with maximum sensitivity and specificity. RESULTS The overall prevalence of MetS was 79.8%, it was higher in women than in men (85.5% vs 61.4%; p.
Collapse
Affiliation(s)
- Imen Sebai
- 1- Outpatient department, National Institute of Nutrition, Tunis, Tunisia / Faculty of medicine of Tunis, Tunis El Manar University, Tunisia
| | - Ibtissem Oueslati
- 2- Department of endocrinology, La Rabta hospital, Tunis, Tunisia. / Faculty of medicine of Tunis, Tunis El Manar University, Tunisia.
| | - Meriem Yazidi
- 2- Department of endocrinology, La Rabta hospital, Tunis, Tunisia. / Faculty of medicine of Tunis, Tunis El Manar University, Tunisia.
| | - Fatma Chaker
- 2- Department of endocrinology, La Rabta hospital, Tunis, Tunisia. / Faculty of medicine of Tunis, Tunis El Manar University, Tunisia.
| | - Haifa Abdessalem
- 1- Outpatient department, National Institute of Nutrition, Tunis, Tunisia / Faculty of medicine of Tunis, Tunis El Manar University, Tunisia
| | - Wafa Grira
- 2- Department of endocrinology, La Rabta hospital, Tunis, Tunisia. / Faculty of medicine of Tunis, Tunis El Manar University, Tunisia.
| | - Chiraz Amrouch
- 1- Outpatient department, National Institute of Nutrition, Tunis, Tunisia / Faculty of medicine of Tunis, Tunis El Manar University, Tunisia
| | - Melika Chihaoui
- 2- Department of endocrinology, La Rabta hospital, Tunis, Tunisia. / Faculty of medicine of Tunis, Tunis El Manar University, Tunisia.
| |
Collapse
|
10
|
Liu J, Duan S, Wang C, Wang Y, Peng H, Niu Z, Yao S. Optimum non-invasive predictive indicators for metabolic dysfunction-associated fatty liver disease and its subgroups in the Chinese population: A retrospective case-control study. Front Endocrinol (Lausanne) 2022; 13:1035418. [PMID: 36531447 PMCID: PMC9751395 DOI: 10.3389/fendo.2022.1035418] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/02/2022] [Accepted: 11/15/2022] [Indexed: 12/04/2022] Open
Abstract
OBJECTIVE Metabolic dysfunction-associated fatty liver disease (MAFLD) affects 25% of the population without approved drug therapy. According to the latest consensus, MAFLD is divided into three subgroups based on different diagnostic modalities, including Obesity, Lean, and Type 2 diabetes mellitus (T2DM) MAFLD subgroups. This study aimed to find out the optimum non-invasive metabolism-related indicators to respectively predict MAFLD and its subgroups. DESIGN 1058 Chinese participants were enrolled in this study. Anthropometric measurements, laboratory data, and ultrasonography features were collected. 22 metabolism-related indexes were calculated, including fatty liver index (FLI), lipid accumulation product (LAP), waist circumference-triglyceride index (WTI), etc. Logistic regression analyzed the correlation between indexes and MAFLD. Receiver operating characteristics were conducted to compare predictive values among 22 indicators for screening the best indicators to predict MAFLD in different subgroups. RESULTS FLI was the best predictor with the maximum odds ratio (OR) values of overall MAFLD (OR: 6.712, 95%CI: 4.766-9.452, area under the curve (AUC): 0.879, P < 0.05) and T2DM MAFLD subgroup (OR: 14.725, 95%CI: 3.712-58.420, AUC: 0.958, P < 0.05). LAP was the best predictor with the maximum OR value of Obesity MAFLD subgroup (OR: 2.689, 95%CI: 2.182-3.313, AUC: 0.796, P < 0.05). WTI was the best predictor with the maximum OR values of Lean MAFLD subgroup (OR: 3.512, 95%CI: 2.286-5.395, AUC: 0.920, P < 0.05). CONCLUSION The best predictors of overall MAFLD, Obesity, Lean, and T2DM MAFLD subgroups were respectively FLI, LAP, WTI, and FLI.
Collapse
Affiliation(s)
- Jing Liu
- Graduate School, Peking Union Medical College, Beijing, China
- Department of Gastroenterology, China-Japan Friendship Hospital, Beijing, China
| | - Shaojie Duan
- Graduate School, Beijing University of Chinese Medicine, Beijing, China
| | - Che Wang
- School of Qi Huang, Beijing University of Chinese Medicine, Beijing, China
| | - Yutong Wang
- School of Qi Huang, Beijing University of Chinese Medicine, Beijing, China
| | - Hongye Peng
- Department of Infection, Guang’anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China
| | - Zuohu Niu
- Graduate School, Beijing University of Chinese Medicine, Beijing, China
| | - Shukun Yao
- Department of Gastroenterology, China-Japan Friendship Hospital, Beijing, China
- *Correspondence: Shukun Yao,
| |
Collapse
|
11
|
Anoop S S, Dasgupta R, Rebekah G, Jose A, Inbakumari MP, Finney G, Thomas N. Lipid accumulation product (LAP) as a potential index to predict risk of insulin resistance in young, non-obese Asian Indian males from Southern India: observations from hyperinsulinemic-euglycemic clamp studies. BMJ Open Diabetes Res Care 2021; 9:9/1/e002414. [PMID: 34531243 PMCID: PMC8449941 DOI: 10.1136/bmjdrc-2021-002414] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/04/2021] [Accepted: 08/15/2021] [Indexed: 11/05/2022] Open
Abstract
INTRODUCTION We aimed to compare the predictive accuracy of surrogate indices namely the lipid accumulation product (LAP) index, homeostatic model of assessment of insulin resistance (HOMA-IR), fasting glucose-insulin ratio (FG-IR) and the quantitative-insulin sensitivity check index (QUICKI), against the M value of hyperinsulinemic-euglycemic clamp (HEC), and to determine a cut-off value for the LAP index to predict risk of insulin resistance in non-obese (body mass index <21 kg/m2), normoglycemic, Asian Indian males from Southern India. RESEARCH DESIGN AND METHODS Data of HEC studies performed in 108 non-obese, normoglycemic, Asian Indian males was obtained retrospectively and the M value (a measure of whole-body insulin sensitivity) was calculated. The M value is the rate of whole-body glucose metabolism at the hyperinsulinemic plateau (a measure of insulin sensitivity) and is calculated between 60 and 120 min after the start of the insulin infusion in the HEC procedure. The LAP index, the HOMA-IR, FG-IR and QUICKI were calculated. Spearman's correlation and logistic regression analysis were performed. Cut-off value for the LAP index was obtained using receiver operating characteristics with area under curve (AUC) analysis at 95% CI. P value <0.05 was considered to be statistically significant. RESULTS Significant negative correlation was observed for the M value with LAP index (r=-0.39, p<0.001) while significant positive correlation was noted with FG-IR (r=0.25; p<0.01) and QUICKI (r=0.22; p<0.01). The LAP index cut-off value ≥33.4 showed 75% sensitivity and 75% specificity with AUC (0.72) to predict risk of insulin resistance in this cohort. CONCLUSION The LAP index showed higher predictive accuracy for the risk of insulin resistance as compared with HOMA-IR, QUICKI and FG-IR in non-obese, normoglycemic Asian Indian males from Southern India.
Collapse
Affiliation(s)
- Shajith Anoop S
- Department of Endocrinology, Diabetes and Metabolism, Christian Medical College and Hospital Vellore, Vellore, Tamil Nadu, India
| | - Riddhi Dasgupta
- Department of Endocrinology, Diabetes and Metabolism, Christian Medical College and Hospital Vellore, Vellore, Tamil Nadu, India
| | - Grace Rebekah
- Biostatistics, Christian Medical College and Hospital Vellore, Vellore, Tamil Nadu, India
| | - Arun Jose
- Department of Clinical Biochemistry, Christian Medical College and Hospital Vellore, Vellore, Tamil Nadu, India
| | - Mercy Prem Inbakumari
- Department of Endocrinology, Diabetes and Metabolism, Christian Medical College and Hospital Vellore, Vellore, Tamil Nadu, India
| | - Geethanjali Finney
- Department of Endocrinology, Diabetes and Metabolism, Christian Medical College and Hospital Vellore, Vellore, Tamil Nadu, India
| | - Nihal Thomas
- Department of Clinical Biochemistry, Christian Medical College and Hospital Vellore, Vellore, Tamil Nadu, India
| |
Collapse
|
12
|
Ou YL, Lee MY, Lin IT, Wen WL, Hsu WH, Chen SC. Obesity-related indices are associated with albuminuria and advanced kidney disease in type 2 diabetes mellitus. Ren Fail 2021; 43:1250-1258. [PMID: 34461808 PMCID: PMC8409948 DOI: 10.1080/0886022x.2021.1969247] [Citation(s) in RCA: 26] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022] Open
Abstract
Obesity is an important risk factor for the development of diseases including diabetes, hypertension, and cardiovascular disease. However, few reports have investigated the relationships between these obesity-related indices and diabetic nephropathy. The aim of this study was to evaluate associations between obesity-related markers with albuminuria and advanced kidney disease in patients with type 2 diabetes mellitus (DM). Obesity-related indices including body mass index (BMI), waist-to-hip ratio (WHR), waist-to-height ratio (WHtR), body roundness index (BRI), conicity index (CI), lipid accumulation product (LAP), visceral adiposity index (VAI), body adiposity index (BAI), abdominal volume index (AVI), body shape index (BSI), and triglyceride glucose (TyG) index were measured. Albuminuria was defined as a urine albumin/creatinine ratio of ≥30 mg/g. Advanced kidney disease was defined as an estimated glomerular filtration rate (eGFR) <30 ml/min/1.73 m2. A total of 1872 patients with type 2 DM (mean age 64.0 ± 11.3 years, 809 males and 1063 females) were enrolled. In multivariable analysis, 11 high obesity-related indices (BMI, WHR, WHtR, LAP, BRI, CI, VAI, BAI, AVI, ABSI, and TyG index) were significantly associated with albuminuria. In addition, high BMI, WHR, WHtR, LAP, BRI, CI, VAI, and AVI were significantly associated with eGFR <30 ml/min/1.73 m2. The results of this study showed that various obesity-related indices were significantly associated with albuminuria and advanced kidney disease in patients with type 2 DM. Screening may be considered in public health programs to recognize and take appropriate steps to prevent subsequent complications.
Collapse
Affiliation(s)
- Yu-Lun Ou
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung, Taiwan
| | - Mei-Yueh Lee
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung, Taiwan.,Faculty of Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan
| | - I-Ting Lin
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung, Taiwan
| | - Wei-Lun Wen
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung, Taiwan.,Department of Internal Medicine, Kaohsiung Municipal Siaogang Hospital, Kaohsiung Medical University, Kaohsiung, Taiwan
| | - Wei-Hao Hsu
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung, Taiwan.,Division of Nephrology, Department of Internal Medicine, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung, Taiwan
| | - Szu-Chia Chen
- Faculty of Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan.,Department of Internal Medicine, Kaohsiung Municipal Siaogang Hospital, Kaohsiung Medical University, Kaohsiung, Taiwan.,Division of Nephrology, Department of Internal Medicine, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung, Taiwan
| |
Collapse
|
13
|
Bijari M, Jangjoo S, Emami N, Raji S, Mottaghi M, Moallem R, Jangjoo A, Saberi A. The Accuracy of Visceral Adiposity Index for the Screening of Metabolic Syndrome: A Systematic Review and Meta-Analysis. Int J Endocrinol 2021; 2021:6684627. [PMID: 34354748 PMCID: PMC8331306 DOI: 10.1155/2021/6684627] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/16/2020] [Revised: 06/01/2021] [Accepted: 07/19/2021] [Indexed: 12/24/2022] Open
Abstract
BACKGROUND AND AIMS Visceral adiposity index (VAI) is a novel marker of fat distribution and function which incorporates both anthropometric and laboratory measures. Recently, several studies have suggested VAI as a screening tool for metabolic syndrome (MetS). Here, we aimed to consolidate the results of these studies by performing a systematic review and meta-analysis. METHODS AND RESULTS We searched PubMed and EMBASE online databases for eligible studies that investigated the association of VAI and MetS. After reviewing 294 records, we included 33 eligible papers with a sum of 20516 MetS and 53242 healthy participants. The risk of bias in the included studies was assessed, and the relevant data was extracted. All included studies reported a significant association between VAI and MetS screening, but were highly heterogeneous in their reported effects. We pooled the diagnostic test accuracy metrics of VAI for MetS screening and showed that it has a moderate-to-high accuracy with an area under the summary receiver operating characteristics curve of 0.847, a pooled sensitivity of 78%, and a pooled specificity of 79%. Besides, we pooled the difference in means of VAI between patients with MetS and healthy controls, revealing that VAI was 2.15 units higher in MetS patients. CONCLUSIONS VAI is an accurate, low-cost, and widely available screening marker for MetS. However, further studies are needed to evaluate its applicability in clinical practice, determine an optimal cut-off, and identify populations that would benefit the most from it.
Collapse
Affiliation(s)
- Moniba Bijari
- Student Research Committee, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran
| | - Sara Jangjoo
- Student Research Committee, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran
| | - Nima Emami
- Student Research Committee, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran
| | - Sara Raji
- Student Research Committee, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran
| | - Mahdi Mottaghi
- Student Research Committee, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran
| | - Roya Moallem
- Student Research Committee, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran
| | - Ali Jangjoo
- Surgical Oncology Research Center, Mashhad University of Medical Sciences, Mashhad, Iran
| | - Amin Saberi
- Student Research Committee, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran
| |
Collapse
|
14
|
Cut-off values and clinical efficacy of body roundness index and other novel anthropometric indices in identifying metabolic syndrome and its components among Southern-Indian adults. Diabetol Int 2021; 13:188-200. [DOI: 10.1007/s13340-021-00522-5] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/19/2021] [Accepted: 07/06/2021] [Indexed: 10/20/2022]
|
15
|
García-Vence M, Chantada-Vazquez MDP, Sosa-Fajardo A, Agra R, Barcia de la Iglesia A, Otero-Glez A, García-González M, Cameselle-Teijeiro JM, Nuñez C, Bravo JJ, Bravo SB. Protein Extraction From FFPE Kidney Tissue Samples: A Review of the Literature and Characterization of Techniques. Front Med (Lausanne) 2021; 8:657313. [PMID: 34055835 PMCID: PMC8158658 DOI: 10.3389/fmed.2021.657313] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2021] [Accepted: 04/01/2021] [Indexed: 12/15/2022] Open
Abstract
Most tissue biopsies from patients in hospital environments are formalin-fixed and paraffin-embedded (FFPE) for long-term storage. This fixation process produces a modification in the proteins called “crosslinks”, which improves protein stability necessary for their conservation. Currently, these samples are mainly used in clinical practice for performing immunohistochemical analysis, since these modifications do not suppose a drawback for this technique; however, crosslinks difficult the protein extraction process. Accordingly, these modifications make the development of a good protein extraction protocol necessary. Due to the specific characteristics of each tissue, the same extraction buffers or deparaffinization protocols are not equally effective in all cases. Therefore, it is necessary to obtain a specific protocol for each tissue. The present work aims to establish a deparaffinization and protein extraction protocol from FFPE kidney samples to obtain protein enough of high quality for the subsequent proteomic analysis. Different deparaffination, protocols and protein extraction buffers will be tested in FFPE kidney samples. The optimized conditions will be applied in the identification by LC-MS/MS analysis of proteins extracted from 5, 10, and 15 glomeruli obtained through the microdissection of FFPE renal samples.
Collapse
Affiliation(s)
- Maria García-Vence
- Proteomic Unit, Health Research Institute of Santiago de Compostela (IDIS), University Clinical Hospital of Santiago de Compostela (CHUS), Santiago de Compostela, Spain
| | - Maria Del Pilar Chantada-Vazquez
- Proteomic Unit, Health Research Institute of Santiago de Compostela (IDIS), University Clinical Hospital of Santiago de Compostela (CHUS), Santiago de Compostela, Spain.,Research Unit, Lucus Augusti University Hospital (HULA), Servizo Galego de Saúde (SERGAS), Lugo, Spain
| | - Ana Sosa-Fajardo
- Research Group of Industrial Microbiology and Food Biotechnology (IMDO), Vrije Universiteit, Brussels, Belgium
| | - Rebeca Agra
- Proteomic Unit, Health Research Institute of Santiago de Compostela (IDIS), University Clinical Hospital of Santiago de Compostela (CHUS), Santiago de Compostela, Spain
| | - Ana Barcia de la Iglesia
- Nephrology Laboratory, Health Research Institute of Santiago de Compostela (IDIS), University Clinical Hospital of Santiago de Compostela (CHUS), Santiago de Compostela, Spain
| | - Alfonso Otero-Glez
- Nephrology Service, University Clinical Hospital of Ourense (CHOU), Orense, Spain
| | - Miguel García-González
- Nephrology Laboratory, Health Research Institute of Santiago de Compostela (IDIS), University Clinical Hospital of Santiago de Compostela (CHUS), Santiago de Compostela, Spain
| | - José M Cameselle-Teijeiro
- Department of Pathology, Health Research Institute of Santiago de Compostela (IDIS), University Clinical Hospital of Santiago de Compostela (CHUS), Santiago de Compostela, Santiago, Spain
| | - Cristina Nuñez
- Research Unit, Lucus Augusti University Hospital (HULA), Servizo Galego de Saúde (SERGAS), Lugo, Spain
| | - Juan J Bravo
- Nephrology Service, University Clinical Hospital of Vigo (Alvaro Cunqueiro-CHUVI), Vigo, Spain
| | - Susana B Bravo
- Proteomic Unit, Health Research Institute of Santiago de Compostela (IDIS), University Clinical Hospital of Santiago de Compostela (CHUS), Santiago de Compostela, Spain
| |
Collapse
|
16
|
Yin Q, Zheng J, Cao Y, Yan X, Zhang H. Evaluation of Novel Obesity and Lipid-Related Indices as Indicators for the Diagnosis of Metabolic Syndrome and Premetabolic Syndrome in Chinese Women with Polycystic Ovary Syndrome. Int J Endocrinol 2021; 2021:7172388. [PMID: 34457001 PMCID: PMC8387166 DOI: 10.1155/2021/7172388] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/10/2021] [Accepted: 08/04/2021] [Indexed: 12/26/2022] Open
Abstract
OBJECTIVES According to the International Diabetes Federation (IDF) criteria, previous studies in Chinese women with polycystic ovary syndrome (PCOS) reported a low prevalence of metabolic syndrome (MS); however, the same population predisposed to developing pre-MS. Early identification and treatment of individuals with MS and pre-MS are imperative to prevent their adverse consequences. Moreover, fasting plasma glucose (FPG) was not accurate in detecting pathoglycemia in women with PCOS as they have shown characteristically postprandial abnormalities in the carbohydrate metabolism. Therefore, we aimed to compare the discriminative performance of various indices for identifying MS and pre-MS/MS (pre-MS and MS) using the updated Chinese Diabetes Society (uCDS) criteria in Chinese women with PCOS. METHODS 1083 Chinese women with PCOS were included in this study. We measured and evaluated 8 indices in all individuals. Based on the uCDS criteria for MS, patients who had no less than two components of MS but did not meet the criteria for the diagnosis of MS were considered as having pre-MS. Receiver operating characteristic (ROC) curves and the area under ROC curves (AUCs) levels were used to assess the accuracy of each index in detecting MS and pre-MS/MS. RESULTS Among the 8 indices assessed, the lipid accumulation product (LAP) provided the highest AUCs for detecting MS and pre-MS/MS, followed by CVAI, WTI, VAI, TyG, TG/HDL, WC, and BMI. The optimal cutoff points determined for LAP were 45.13 (sensitivity 88.0%, specificity 88.4%, and Youden index 0.764) for MS and 28.01 (sensitivity 87.5%, specificity 80.7%, and Youden index 0.681) for pre-MS/MS, respectively. CONCLUSIONS uCDS criteria are reasonably more suitable for detecting MS and pre-MS in Chinese women with PCOS. Based on this criterion, LAP is the best index for the diagnosis of MS and pre-MS/MS in Chinese women with PCOS, out of the 8 obesity and lipid-related indices assessed.
Collapse
Affiliation(s)
- Qianqian Yin
- Department of Obstetrics and Gynecology, The Second Affiliated Hospital of Soochow University, No. 1055, Sanxiang Road, Suzhou, Jiangsu 215000, China
- Center for Reproductive Medicine, XuZhou Central Hospital, No. 199, Jiefang Road, Xuzhou, Jiangsu 221009, China
| | - Jianhua Zheng
- Department of Obstetrics and Gynecology, XuZhou Central Hospital, No. 199, Jiefang Road, Xuzhou, Jiangsu 221009, China
| | - Yijuan Cao
- Center for Reproductive Medicine, XuZhou Central Hospital, No. 199, Jiefang Road, Xuzhou, Jiangsu 221009, China
| | - Xiaonan Yan
- Center for Reproductive Medicine, XuZhou Central Hospital, No. 199, Jiefang Road, Xuzhou, Jiangsu 221009, China
| | - Hong Zhang
- Department of Obstetrics and Gynecology, The Second Affiliated Hospital of Soochow University, No. 1055, Sanxiang Road, Suzhou, Jiangsu 215000, China
| |
Collapse
|
17
|
Liu B, Fan D, Yin F. The Relationship between Vitamin D Status and Visceral Fat Accumulation in Males with Type 2 Diabetes. J Nutr Sci Vitaminol (Tokyo) 2020; 66:396-401. [PMID: 33132341 DOI: 10.3177/jnsv.66.396] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
Vitamin D deficiency may play an important role in obesity. The aim of the study was to explore the relationship between vitamin D status and visceral fat accumulation in males with type 2 diabetes. A cross-sectional study was conducted on 128 adult males with type 2 diabetes in Qinhuangdao. The nutritional status of vitamin D was assessed by circulating levels of 25(OH)D, vitamin D deficiency <30 nmol/L, vitamin D insufficiency 30-50 nmol/L and vitamin D sufficiency >50 nmol/L. Accumulation of visceral fat was defined as visceral fat area ≥100 cm2. The prevalence of visceral fat accumulation was 35.9%. The prevalence of visceral fat accumulation was 14.6%, 45.1% and 50.0% in type 2 diabetes with vitamin D sufficiency, vitamin D insufficiency and vitamin D deficiency, respectively. In multiple logistic regression analysis, subjects with vitamin D insufficiency [OR=4.255, p=0.012] and vitamin D deficiency [OR=6.122, p=0.022] were more likely to have visceral fat accumulation compared with subjects with vitamin D sufficiency. Visceral fat accumulation linked to the cluster of cardiometabolic risk factor in males with type 2 diabetes. There was a significant correlation between vitamin D status and visceral fat accumulation in males with type 2 diabetes.
Collapse
Affiliation(s)
- Bowei Liu
- Department of Endocrinology, The First Hospital of Qinhuangdao
| | - Dongmei Fan
- Department of Endocrinology, The First Hospital of Qinhuangdao
| | - Fuzai Yin
- Department of Endocrinology, The First Hospital of Qinhuangdao
| |
Collapse
|
18
|
Yan G, Li F, Elia C, Zhao Y, Wang J, Chen Z, Yuan H, Lu Y. Association of lipid accumulation product trajectories with 5-year incidence of type 2 diabetes in Chinese adults: a cohort study. Nutr Metab (Lond) 2019; 16:72. [PMID: 31641369 PMCID: PMC6802349 DOI: 10.1186/s12986-019-0399-7] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2019] [Accepted: 09/24/2019] [Indexed: 12/12/2022] Open
Abstract
Background Lipid accumulation product (LAP) is an index describing the overaccumulation of lipid. Baseline LAP was used for type 2 diabetes (T2D) prediction in previous studies. But the longitudinal trajectories of LAP, which reflect the efficacy of patients' lipid-lowering treatment and lifestyle improvement, have rarely been studied. The aim of this study is to explore the association of lipid accumulation product trajectories with 5-year incidence of type 2 diabetes. Methods This cohort study included 4508 non-diabetic participants with a median age of 42 years. Using the group-based trajectory modeling (GBTM), LAP from 2011 to 2016 were determined and identified as three trajectories: low (n = 3639), moderate (n = 800), and high (n = 69). Baseline LAP was divided into groups by percentiles and tertiles respectively for the comparison of LAP trajectories. The associations between 5-year T2D incidence and LAP trajectories and baseline LAP were both assessed by generalized linear models. Results From 2011 to 2016, 169 participants developed T2D (the 5-year incidence of 3.8%). For participants with low, moderate, and high trajectories, the incidence of T2D was 2.1, 10.0, and 15.9%, respectively. A significant trend was observed in the relative risks (RRs) of 5-year incident T2D in participants with moderate (RR, 1.95; 95% CI: 1.41-2.70) and high LAP trajectory (RR, 2.20; 95% CI: 1.12-4.30) in the fully adjusted model (p for trend< 0.001). However, there were no statically significant trends in RRs in different tertiles of baseline LAP found after full adjustments. Conclusion The trajectories of LAP has an independent effect on 5-year T2D incidence beyond LAP measured at baseline.
Collapse
Affiliation(s)
- Guangyu Yan
- 1Center of Clinical Pharmacology, The Third Xiangya Hospital, Central South University, 138 Tongzipo Road, Changsha, Hunan 410013 People's Republic of China
| | - Fei Li
- 1Center of Clinical Pharmacology, The Third Xiangya Hospital, Central South University, 138 Tongzipo Road, Changsha, Hunan 410013 People's Republic of China
| | - Christelle Elia
- 2Department of Life Science and Medicine, King's College London, WC2R 2LS, London, UK
| | - Yating Zhao
- 3Health Management Center, The Third Xiangya Hospital, Central South University, 138 Tongzipo Road, Changsha, Hunan 410013 People's Republic of China
| | - Jiangguang Wang
- 3Health Management Center, The Third Xiangya Hospital, Central South University, 138 Tongzipo Road, Changsha, Hunan 410013 People's Republic of China
| | - Zhiheng Chen
- 3Health Management Center, The Third Xiangya Hospital, Central South University, 138 Tongzipo Road, Changsha, Hunan 410013 People's Republic of China
| | - Hong Yuan
- 1Center of Clinical Pharmacology, The Third Xiangya Hospital, Central South University, 138 Tongzipo Road, Changsha, Hunan 410013 People's Republic of China
| | - Yao Lu
- 1Center of Clinical Pharmacology, The Third Xiangya Hospital, Central South University, 138 Tongzipo Road, Changsha, Hunan 410013 People's Republic of China.,2Department of Life Science and Medicine, King's College London, WC2R 2LS, London, UK
| |
Collapse
|
19
|
Zhu HT, Yu M, Hu H, He QF, Pan J, Hu RY. Factors associated with glycemic control in community-dwelling elderly individuals with type 2 diabetes mellitus in Zhejiang, China: a cross-sectional study. BMC Endocr Disord 2019; 19:57. [PMID: 31170961 PMCID: PMC6555723 DOI: 10.1186/s12902-019-0384-1] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/21/2018] [Accepted: 05/24/2019] [Indexed: 02/06/2023] Open
Abstract
BACKGROUND Although exercise seems to be beneficial for type 2 diabetes mellitus (T2DM) patients, there is limited research elucidating the optimal accessible indices of adiposity and insulin resistance for identifying elderly T2DM patients with poor glycemic control, which could be improved by performing regular exercise. METHODS A community-based, cross-sectional study was conducted with 918 Chinese elderly individuals with T2DM in Zhejiang. Relevant risk factors for poor glycemic control, as determined using glycated haemoglobin A1c (HbA1c) > 7%, were explored using logistic regression analyses and included body mass index (BMI), waist circumference (WC), waist to height ratio (WHtR), fasting blood glucose (FBG), triglycerides (TGs), total cholesterol (TC), the product of fasting triglycerides and glucose (TyG), visceral adiposity index (VAI), lipid accumulation product (LAP), TyG-BMI, and TyG-WC. Comparisons of the risk factors' ability to discriminate poor glycemic control as well as their optimal cutoff values were determined using receiver operating characteristic (ROC) analyses, and then the extent of poor glycemic control risk reduction through regular exercise was examined using multivariate logistic regression analyses. RESULTS The overall poor glycemic control rate was 49.3%. The factors associated with poor glycemic control included FBG > 3.869, TyG > 8.73, TyG-BMI > 222.45, and TyG-WC > 713.48 in logistic regression analyses. The optimal cutoff points of FBG, TyG, TyG-WC, and TyG-BMI in discriminating poor glycemic control were 7.38, 9.22, 813.33, and 227.77, and their corresponding areas under the ROC curves were 0.864(0.840-0.886), 0.684(0.653-0.714), 0.604(0.571-0.635), and 0.574(0.541-0.606), respectively. Occasional and regular exercise reduced the odds ratios (95% confidence interval) of poor glycemic control to 0.187 (0.063-0.557) and 0.183 (0.059-0.571) for subjects with TyG-WC > 813.33 (p = 0.008), to 0.349 (0.156-0.782) and 0.284 (0.123-0.652) for subjects with TyG > 9.22 (p = 0.011), and to 0.390 (0.175-0.869) and 0.300(0.130-0.688) for subjects with TyG-BMI > 227.77 (p = 0.017), respectively, after adjusting for multiple confounding factors. CONCLUSION Among elderly individuals with T2DM, poor glycemic control risk might be identified using indices calculated from FBG, TG, BMI, and WC measurements, which are indicative of adiposity and insulin resistance. TyG-WC seems to be an accessible and useful indicator to identify which elderly T2DM patients would benefit from performing regular exercise to achieve good glycemic control.
Collapse
Affiliation(s)
- Hong-Ting Zhu
- Yongkang Municipal Center for Disease Control and Prevention, Jinghua, Zhejiang, 321300 China
| | - Min Yu
- Department of Occupational Diseases, Zhejiang Academy of Medical Sciences, Zhejiang, 310013 Hangzhou China
| | - Hao Hu
- Yongkang Municipal Center for Disease Control and Prevention, Jinghua, Zhejiang, 321300 China
| | - Qing-Fang He
- Department of NCDs Control and Prevention, Zhejiang Provincial Center for Disease Control and Prevention, No. 3399, Binsheng Road, Zhejiang, 310051 Hangzhou China
| | - Jin Pan
- Department of NCDs Control and Prevention, Zhejiang Provincial Center for Disease Control and Prevention, No. 3399, Binsheng Road, Zhejiang, 310051 Hangzhou China
| | - Ru-Ying Hu
- Department of NCDs Control and Prevention, Zhejiang Provincial Center for Disease Control and Prevention, No. 3399, Binsheng Road, Zhejiang, 310051 Hangzhou China
| |
Collapse
|
20
|
Liu B, Liu B, Wu G, Yin F. Relationship between body-roundness index and metabolic syndrome in type 2 diabetes. Diabetes Metab Syndr Obes 2019; 12:931-935. [PMID: 31354325 PMCID: PMC6590402 DOI: 10.2147/dmso.s209964] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/25/2019] [Accepted: 05/06/2019] [Indexed: 01/09/2023] Open
Abstract
Background: The present study evaluated the relationship between body-roundness index (BRI) and metabolic syndrome (MetS) in type 2 diabetes. Methods: A cross-sectional study was conducted on 585 type 2 diabetes in Qinhuangdao. MetS was defined as per the Chinese Diabetes Society. Results: The BRI was strongly associated with the odds of having MetS in both males and females after adjustment for age, history of diabetes, and body-mass index (P<0.05). AUC of the BRI were 0.824 for males and 0.775 for females (P<0.001). The optimal cutoff points for the BRI were 3.85 in males (sensitivity 76.5%, specificity 82.1%) and 4.05 in females (sensitivity 76.4%, specificity 70.3%). Conclusion: The BRI was correlated with MetS and was an effective indicator for the screening of MetS in type 2 diabetes.
Collapse
Affiliation(s)
- Bowei Liu
- Department of Endocrinology, First Hospital of Qinhuangdao, Qinhuangdao 066000, Hebei Province, China
| | - Bo Liu
- Department of Endocrinology, First Hospital of Qinhuangdao, Qinhuangdao 066000, Hebei Province, China
| | - Guangfei Wu
- Department of Endocrinology, First Hospital of Qinhuangdao, Qinhuangdao 066000, Hebei Province, China
| | - Fuzai Yin
- Department of Endocrinology, First Hospital of Qinhuangdao, Qinhuangdao 066000, Hebei Province, China
- Correspondence: Fuzai Yin Department of Endocrinology, First Hospital of Qinhuangdao, 258 Wenhua Road, Qinhuangdao, Hebei 066000, ChinaTel +86 335 590 8603Fax +86 335 303 2042Email
| |
Collapse
|
21
|
Sun K, Lin D, Feng Q, Li F, Qi Y, Feng W, Yang C, Yan L, Ren M, Liu D. Assessment of adiposity distribution and its association with diabetes and insulin resistance: a population-based study. Diabetol Metab Syndr 2019; 11:51. [PMID: 31297161 PMCID: PMC6598265 DOI: 10.1186/s13098-019-0450-x] [Citation(s) in RCA: 20] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/23/2019] [Accepted: 06/24/2019] [Indexed: 12/14/2022] Open
Abstract
BACKGROUND Rational measures in estimating adiposity distribution in diabetic patients has yet to be validated. This study aims to provide insight about the possible links between routinely available body adiposity parameters and the development of both diabetes and insulin resistance. METHODS We performed a population-based cross-sectional study in 9496 subjects aged 40 years or older. All of the body adiposity measures including body mass index (BMI), waist circumference (WC), waist-hip ratio (WHR), waist-height ratio (WHtR), visceral adiposity index (VAI), body adiposity index (BAI) and lipid accumulation product index (LAP) were separately evaluated according to standard measurement methods. Diabetes was diagnosed according to the American Diabetes Association 2010 criteria. RESULTS All tested body adiposity measurements were significantly associated with fasting plasma glucose (FPG), oral glucose tolerance test (OGTT) 2 h glucose, HbA1c and fasting insulin. Compared with other adiposity phenotypes, LAP have shown the relatively strongest while BAI have shown the relatively weakest association with increased odds of both diabetes and insulin resistance across all logistic regression models. Additionally, LAP provided the best discrimination accuracy for diabetes [area under the curve (AUC): 0.658 95% confidence intervals (CI) 0.645-0.671] and insulin resistance (AUC: 0.781 95% CI 0.771-0.792) when compared with other body adiposity parameters. CONCLUSIONS The LAP index seems to be a better indicator than other adiposity measures tested in the study to evaluate the association of visceral fat mass with diabetes and insulin resistance, which should be given more consideration in the clinical practice.
Collapse
Affiliation(s)
- Kan Sun
- Department of Endocrinology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, 107 Yanjiang West Road, Guangzhou, 510120 People’s Republic of China
| | - Diaozhu Lin
- Department of Endocrinology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, 107 Yanjiang West Road, Guangzhou, 510120 People’s Republic of China
| | - Qiling Feng
- Department of Endocrinology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, 107 Yanjiang West Road, Guangzhou, 510120 People’s Republic of China
| | - Feng Li
- Department of Endocrinology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, 107 Yanjiang West Road, Guangzhou, 510120 People’s Republic of China
| | - Yiqin Qi
- Department of Endocrinology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, 107 Yanjiang West Road, Guangzhou, 510120 People’s Republic of China
| | - Wanting Feng
- Department of Endocrinology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, 107 Yanjiang West Road, Guangzhou, 510120 People’s Republic of China
| | - Chuan Yang
- Department of Endocrinology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, 107 Yanjiang West Road, Guangzhou, 510120 People’s Republic of China
| | - Li Yan
- Department of Endocrinology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, 107 Yanjiang West Road, Guangzhou, 510120 People’s Republic of China
| | - Meng Ren
- Department of Endocrinology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, 107 Yanjiang West Road, Guangzhou, 510120 People’s Republic of China
| | - Dan Liu
- Department of Endocrinology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, 107 Yanjiang West Road, Guangzhou, 510120 People’s Republic of China
| |
Collapse
|
22
|
Gu Z, Zhu P, Wang Q, He H, Xu J, Zhang L, Li D, Wang J, Hu X, Ji G, Zhang L, Liu B. Obesity and lipid-related parameters for predicting metabolic syndrome in Chinese elderly population. Lipids Health Dis 2018; 17:289. [PMID: 30572889 PMCID: PMC6302378 DOI: 10.1186/s12944-018-0927-x] [Citation(s) in RCA: 34] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2018] [Accepted: 11/26/2018] [Indexed: 12/13/2022] Open
Abstract
Background The present study evaluated the predictive ability of five known “best” obesity and lipid-related parameters, including body mass index (BMI), waist-to-height ratio (WHtR), triglyceride-to-high-density-lipoprotein-cholesterol (TG/HDL-C), lipid accumulation product (LAP) and visceral adiposity index (VAI), in identifying metabolic syndrome (MetS) in Chinese elderly population. Methods A total of 6722 elderly Chinese subjects (≥60 years) were recruited into our community-based cross-sectional study from April 2015 to July 2017. The anthropometrics, blood pressure, fasting plasma glucose, blood lipid profiles, family history and health-related behaviours were assessed. Results The prevalence of MetS was 40.4% (32.5% in males and 47.2% in females). With the increase in the number of MetS components (from 0 to 5), all the five parameters showed an increase trend in both genders (all P for trend < 0.001). According to receiver operating characteristic curve (ROC) analyses, all the five parameters performed high predictive value in identifying MetS. The statistical significance of the areas under the curves (AUCs) differences suggested that the AUCs of LAP were the greatest among others in both genders (AUCs were 0.897 in males and 0.875 in females). The optimal cut-off values of LAP were 26.35 in males and 31.04 in females. After adjustment for potentially confounding factors, LAP was strongly associated with the odds of having MetS in both genders, and ORs for MetS increased across quartiles using multivariate logistic regression analysis (P < 0.001). Conclusion LAP appeared to be a superior parameter for predicting MetS in both Chinese elderly males and females, better than VAI, TG/HDL-C, WHtR and BMI.
Collapse
Affiliation(s)
- Zhan Gu
- Shanghai Innovation Center of TCM Health Service, Shanghai University of Traditional Chinese Medicine, Shanghai, 201203, China
| | - Ping Zhu
- School of Rehabilitation Science, Shanghai University of Traditional Chinese Medicine, Shanghai, 201203, China
| | - Qiao Wang
- Shanghai Innovation Center of TCM Health Service, Shanghai University of Traditional Chinese Medicine, Shanghai, 201203, China
| | - Huayu He
- Shanghai Innovation Center of TCM Health Service, Shanghai University of Traditional Chinese Medicine, Shanghai, 201203, China
| | - Jingjuan Xu
- Shanghai Innovation Center of TCM Health Service, Shanghai University of Traditional Chinese Medicine, Shanghai, 201203, China
| | - Li Zhang
- Shanghai Innovation Center of TCM Health Service, Shanghai University of Traditional Chinese Medicine, Shanghai, 201203, China
| | - Dong Li
- Zhangjiang Community Health Service Center of Pudong New District, Shanghai, 201210, China
| | - Jianying Wang
- Shanghai Innovation Center of TCM Health Service, Shanghai University of Traditional Chinese Medicine, Shanghai, 201203, China
| | - Xiaojuan Hu
- Shanghai Innovation Center of TCM Health Service, Shanghai University of Traditional Chinese Medicine, Shanghai, 201203, China
| | - Guang Ji
- Shanghai Innovation Center of TCM Health Service, Shanghai University of Traditional Chinese Medicine, Shanghai, 201203, China.,Institute of Digestive Diseases, China-Canada Center of Research for Digestive Diseases (ccCRDD), Longhua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, 200032, China
| | - Lei Zhang
- Shanghai Innovation Center of TCM Health Service, Shanghai University of Traditional Chinese Medicine, Shanghai, 201203, China.
| | - Baocheng Liu
- Shanghai Innovation Center of TCM Health Service, Shanghai University of Traditional Chinese Medicine, Shanghai, 201203, China.
| |
Collapse
|
23
|
Ray L, Ravichandran K, Nanda SK. Comparison of Lipid Accumulation Product Index with Body Mass Index and Waist Circumference as a Predictor of Metabolic Syndrome in Indian Population. Metab Syndr Relat Disord 2018; 16:240-245. [DOI: 10.1089/met.2017.0119] [Citation(s) in RCA: 30] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022] Open
Affiliation(s)
- Lopamudra Ray
- Department of Biochemistry, Pondicherry Institute of Medical Sciences, Pondicherry, India
| | - Kandasamy Ravichandran
- Department of Biostatistics, Pondicherry Institute of Medical Sciences, Pondicherry, India
| | - Sunil Kumar Nanda
- Department of Biochemistry, Pondicherry Institute of Medical Sciences, Pondicherry, India
| |
Collapse
|