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4. Association of social determinants, lifestyle, and metabolic factors with mortality in Chinese adults: A nationwide 10-year prospective cohort study

Author

Lu, Jieli, Li, Mian, He, Jiang, Xu, Yu, Zheng, Ruizhi, Zheng, Jie, Qin, Guijun, Qin, Yingfen, Chen, Yuhong, Tang, Xulei, Ye, Zhen, Xu, Min, Wang, Tiange, Shi, Lixin, Su, Qing, Yu, Xuefeng, Yan, Li, Zhao, Zhiyun, Wan, Qin, Chen, Gang, Gao, Zhengnan, Wang, Guixia, Shen, Feixia, Gu, Xuejiang, Luo, Zuojie, Chen, Li, Hou, Xinguo, Huo, Yanan, Li, Qiang, Qiao, Hong, Zhang, Yinfei, Zeng, Tianshu, Hu, Chunyan, Cao, Qiuyu, Jia, Xiaojing, Liu, Chao, Wang, Youmin, Wu, Shengli, Yang, Tao, Deng, Huacong, Qi, Hongyan, Wu, Xueyan, Zhang, Di, Dai, Meng, Li, Donghui, Lai, Shenghan, Chen, Lulu, Zhao, Jiajun, Mu, Yiming, Hu, Weiguo, Ning, Guang, Hu, Ruying, Bi, Yufang, and Wang, Weiqing

Published
2024
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5. Early adulthood weight change, midlife “Life’s essential 8” health status and risk of cardiometabolic diseases: a chinese nationwide cohort study

Author

Cao, Qiuyu, Li, Mian, Qin, Guijun, Yan, Li, He, Jiang, Xu, Min, Xu, Yu, Wang, Tiange, Chen, Yuhong, Wang, Shuangyuan, Lin, Hong, Zhao, Zhiyun, Gao, Zhengnan, Zeng, Tianshu, Hu, Ruying, Yu, Xuefeng, Chen, Gang, Su, Qing, Mu, Yiming, Chen, Lulu, Tang, Xulei, Wan, Qin, Wang, Guixia, Shen, Feixia, Luo, Zuojie, Qin, Yingfen, Chen, Li, Huo, Yanan, Li, Qiang, Ye, Zhen, Zhang, Yinfei, Liu, Chao, Wang, Youmin, Wu, Shengli, Yang, Tao, Deng, Huacong, Zhao, Jiajun, Shi, Lixin, Ning, Guang, Wang, Weiqing, Lu, Jieli, and Bi, Yufang

Published
2023
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6. Irregular Menstruation-Hirsutism-Infertility: Clinical Management of Non-Classic Congenital Adrenal Hyperplasia

Author

NIE Zhimei, DOU Jianxin, DU Jin, GU Weijun, LYU Zhaohui, DOU Jingtao, and MU Yiming

Subjects
nonclassical 21-hydroxylase deficiency, 17-hydroxyprogesterone, cosyntropin-stimulation test, Medicine
Abstract

A 38-year-old female presented with irregular menstruation and hirsutism that started at age of 16 and diagnosed with polycystic ovary syndrome at age of 29 with elevated testosterone. When treated with ethinestradiol cyproterone tablets, her menstruation returned to normal and androgen levels was not changed. At age of 38 she was referred to the hospital with infertility, a diagnosis of nonclassical 21-hydroxylase deficiency was confirmed using 17-hydroxyprogesterone, dehydroepiandrosterone-sulfate, a cosyntropin-stimulation test and genetic test. This case suggested that nonclassical congenital adrenal hyperplasia should be considered when a patient is presented with oligomenorrhea, hirsutism with hyperandrogenemia and infertility.

Published
2023
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8. Data-driven subgroups of prediabetes and the associations with outcomes in Chinese adults

Author

Zheng, Ruizhi, Xu, Yu, Li, Mian, Gao, Zhengnan, Wang, Guixia, Hou, Xinguo, Chen, Li, Huo, Yanan, Qin, Guijun, Yan, Li, Wan, Qin, Zeng, Tianshu, Chen, Lulu, Shi, Lixin, Hu, Ruying, Tang, Xulei, Su, Qing, Yu, Xuefeng, Qin, Yingfen, Chen, Gang, Gu, Xuejiang, Shen, Feixia, Luo, Zuojie, Chen, Yuhong, Zhang, Yinfei, Liu, Chao, Wang, Youmin, Wu, Shengli, Yang, Tao, Li, Qiang, Mu, Yiming, Zhao, Jiajun, Hu, Chunyan, Jia, Xiaojing, Xu, Min, Wang, Tiange, Zhao, Zhiyun, Wang, Shuangyuan, Lin, Hong, Ning, Guang, Wang, Weiqing, Lu, Jieli, and Bi, Yufang

Published
2023
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9. Association between triglyceride glucose index and breast cancer in 142,184 Chinese adults: findings from the REACTION study

Author

Wu, Xueyan, primary, Wang, Shuangyuan, additional, Lin, Lin, additional, Jia, Xiaojing, additional, Hu, Chunyan, additional, Qi, Hongyan, additional, Lin, Hong, additional, Zheng, Ruizhi, additional, Li, Mian, additional, Xu, Yu, additional, Xu, Min, additional, Chen, Lulu, additional, Zeng, Tianshu, additional, Hu, Ruying, additional, Ye, Zhen, additional, Shi, Lixin, additional, Su, Qing, additional, Yu, Xuefeng, additional, Yan, Li, additional, Wang, Tiange, additional, Zhao, Zhiyun, additional, Zheng, Jie, additional, Qin, Guijun, additional, Wan, Qin, additional, Chen, Gang, additional, Dai, Meng, additional, Tang, Xulei, additional, Gao, Zhengnan, additional, Shen, Feixia, additional, Gu, Xuejiang, additional, Luo, Zuojie, additional, Qin, Yingfen, additional, Chen, Li, additional, Hou, Xinguo, additional, Huo, Yanan, additional, Li, Qiang, additional, Wang, Guixia, additional, Zhang, Yinfei, additional, Liu, Chao, additional, Wang, Youmin, additional, Wu, Shengli, additional, Yang, Tao, additional, Deng, Huacong, additional, Zhao, Jiajun, additional, Mu, Yiming, additional, Ning, Guang, additional, Wang, Weiqing, additional, Bi, Yufang, additional, Chen, Yuhong, additional, and Lu, Jieli, additional

Published
2024
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13. Amino acids, microbiota-related metabolites, and the risk of incident diabetes among normoglycemic Chinese adults: Findings from the 4C study

Author

Wang, Shuangyuan, Li, Mian, Lin, Hong, Wang, Guixia, Xu, Yu, Zhao, Xinjie, Hu, Chunyan, Zhang, Yi, Zheng, Ruizhi, Hu, Ruying, Shi, Lixin, Du, Rui, Su, Qing, Wang, Jiqiu, Chen, Yuhong, Yu, Xuefeng, Yan, Li, Wang, Tiange, Zhao, Zhiyun, Liu, Ruixin, Wang, Xiaolin, Li, Qi, Qin, Guijun, Wan, Qin, Chen, Gang, Xu, Min, Dai, Meng, Zhang, Di, Tang, Xulei, Gao, Zhengnan, Shen, Feixia, Luo, Zuojie, Qin, Yingfen, Chen, Li, Huo, Yanan, Li, Qiang, Ye, Zhen, Zhang, Yinfei, Liu, Chao, Wang, Youmin, Wu, Shengli, Yang, Tao, Deng, Huacong, Zhao, Jiajun, Lai, Shenghan, Mu, Yiming, Chen, Lulu, Li, Donghui, Xu, Guowang, Ning, Guang, Wang, Weiqing, Bi, Yufang, and Lu, Jieli

Published
2022
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16. Efficacy and safety of umbilical cord-derived mesenchymal stem cells in Chinese adults with type 2 diabetes: a single-center, double-blinded, randomized, placebo-controlled phase II trial

Author

Zang, Li, Li, Yijun, Hao, Haojie, Liu, Jiejie, Cheng, Yu, Li, Bing, Yin, Yaqi, Zhang, Qian, Gao, Fei, Wang, Haibin, Gu, Shi, Li, Jia, Lin, Fengxiang, Zhu, Yingfei, Tian, Guanglei, Chen, Yulong, Gu, Weijun, Du, Jin, Chen, Kang, Guo, Qinghua, Yang, Guoqing, Pei, Yu, Yan, Wenhua, Wang, Xianling, Meng, Junhua, Zhang, Saichun, Ba, Jianming, Lyu, Zhaohui, Dou, Jingtao, Han, Weidong, and Mu, Yiming

Published
2022
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19. Interaction between smoking and diabetes in relation to subsequent risk of cardiovascular events

Author

Yang, Yang, Peng, Nianchun, Chen, Gang, Wan, Qin, Yan, Li, Wang, Guixia, Qin, Yingfen, Luo, Zuojie, Tang, Xulei, Huo, Yanan, Hu, Ruying, Ye, Zhen, Qin, Guijun, Gao, Zhengnan, Su, Qing, Mu, Yiming, Zhao, Jiajun, Chen, Lulu, Zeng, Tianshu, Yu, Xuefeng, Li, Qiang, Shen, Feixia, Chen, Li, Zhang, Yinfei, Wang, Youmin, Deng, Huacong, Liu, Chao, Wu, Shengli, Yang, Tao, Li, Mian, Xu, Yu, Xu, Min, Zhao, Zhiyun, Wang, Tiange, Lu, Jieli, Bi, Yufang, Wang, Weiqing, Ning, Guang, Zhang, Qiao, and Shi, Lixin

Published
2022
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20. Hypertension Defined by 2017 ACC/AHA Guideline, Ideal Cardiovascular Health Metrics, and Risk of Cardiovascular Disease: A Nationwide Prospective Cohort Study

Author

Wu, Shujing, Xu, Yu, Zheng, Ruizhi, Lu, Jieli, Li, Mian, Chen, Li, Huo, Yanan, Xu, Min, Wang, Tiange, Zhao, Zhiyun, Wang, Shuangyuan, Lin, Hong, Dai, Meng, Zhang, Di, Niu, Jingya, Qin, Guijun, Yan, Li, Wan, Qin, Chen, Lulu, Shi, Lixin, Hu, Ruying, Tang, Xulei, Su, Qing, Yu, Xuefeng, Qin, Yingfen, Chen, Gang, Gao, Zhengnan, Wang, Guixia, Shen, Feixia, Luo, Zuojie, Chen, Yuhong, Zhang, Yinfei, Liu, Chao, Wang, Youmin, Wu, Shengli, Yang, Tao, Li, Qiang, Mu, Yiming, Zhao, Jiajun, Bi, Yufang, Wang, Weiqing, and Ning, Guang

Published
2022
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21. Clinical characteristics and complication risks in data‐driven clusters among Chinese community diabetes populations.

Author

Li, Binqi, Yang, Zizhong, Liu, Yang, Zhou, Xin, Wang, Weiqing, Gao, Zhengnan, Yan, Li, Qin, Guijun, Tang, Xulei, Wan, Qin, Chen, Lulu, Luo, Zuojie, Ning, Guang, Gu, Weijun, and Mu, Yiming

Subjects
GLYCOSYLATED hemoglobin, GLYCEMIC control, DIABETES complications, LOGISTIC regression analysis, CHRONIC kidney failure
Abstract

Background: Novel diabetes phenotypes were proposed by the Europeans through cluster analysis, but Chinese community diabetes populations might exhibit different characteristics. This study aims to explore the clinical characteristics of novel diabetes subgroups under data‐driven analysis in Chinese community diabetes populations. Methods: We used K‐means cluster analysis in 6369 newly diagnosed diabetic patients from eight centers of the REACTION (Risk Evaluation of cAncers in Chinese diabeTic Individuals) study. The cluster analysis was performed based on age, body mass index, glycosylated hemoglobin, homeostatic modeled insulin resistance index, and homeostatic modeled pancreatic β‐cell functionality index. The clinical features were evaluated with the analysis of variance (ANOVA) and chi‐square test. Logistic regression analysis was done to compare chronic kidney disease and cardiovascular disease risks between subgroups. Results: Overall, 2063 (32.39%), 658 (10.33%), 1769 (27.78%), and 1879 (29.50%) populations were assigned to severe obesity‐related and insulin‐resistant diabetes (SOIRD), severe insulin‐deficient diabetes (SIDD), mild age‐associated diabetes mellitus (MARD), and mild insulin‐deficient diabetes (MIDD) subgroups, respectively. Individuals in the MIDD subgroup had a low risk burden equivalent to prediabetes, but with reduced insulin secretion. Individuals in the SOIRD subgroup were obese, had insulin resistance, and a high prevalence of fatty liver, tumors, family history of diabetes, and tumors. Individuals in the SIDD subgroup had severe insulin deficiency, the poorest glycemic control, and the highest prevalence of dyslipidemia and diabetic nephropathy. Individuals in MARD subgroup were the oldest, had moderate metabolic dysregulation and the highest risk of cardiovascular disease. Conclusion: The data‐driven approach to differentiating the status of new‐onset diabetes in the Chinese community was feasible. Patients in different clusters presented different characteristics and risks of complications. [ABSTRACT FROM AUTHOR]

Published
2024
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22. Remnant cholesterol is more positively related to diabetes, prediabetes, and insulin resistance than conventional lipid parameters and lipid ratios: A multicenter, large sample survey.

Author

Li, Binqi, Liu, Yang, Zhou, Xin, Chen, Lulu, Yan, Li, Tang, Xulei, Gao, Zhengnan, Wan, Qin, Luo, Zuojie, Qin, Guijun, Ning, Guang, Gu, Weijun, and Mu, Yiming

Subjects
MULTIPLE regression analysis, LOGISTIC regression analysis, PREDIABETIC state, INSULIN resistance, DIABETES
Abstract

Background: Not many large‐sample investigations are available that compare the potency of the relationship of remnant cholesterol (RC) and other lipid parameters with diabetes and prediabetes. The goals of our study are to discover the relationship between RC and prediabetes, diabetes, and insulin resistance (IR) and to investigate RC, high‐density lipoprotein cholesterol (HDL‐C), non‐HDL‐C, triglycerides (TG), low‐density lipoprotein cholesterol (LDL‐C), total cholesterol (TC), TC/HDL‐C, LDL‐C/HDL‐C, and TG/HDL‐C, which are the lipid parameters that are most positively related to diabetes, prediabetes, and IR. Methods: This research enrolled 36 684 subjects from China's eight provinces. We employed multiple logistic regression analysis for testing the relationship between lipid parameters and diabetes, prediabetes, and IR. Results: After adjusting for potential confounders, and comparing the results with other lipid parameters, the positive relationship between RC and diabetes (odds ratio [OR] 1.417, 95% confidence interval [CI]: 1.345–1.492), prediabetes (OR 1.555, 95% CI: 1.438–1.628), and IR (OR 1.488, 95% CI: 1.404–1.577) was highest. RC was still related to diabetes, prediabetes, and IR even when TG <2.3 mmol/L (diabetes: OR 1.256, 95% CI: 1.135–1.390; prediabetes: OR 1.503, 95% CI: 1.342–1.684; and IR: OR 1.278, 95% CI: 1.140–1.433), LDL‐C <2.6 mmol/L (diabetes: OR 1.306, 95% CI: 1.203–1.418; prediabetes: OR 1.597, 95% CI: 1.418–1.798; and IR: OR 1.552, 95% CI: 1.416–1.701), or HDL‐C ≥1 mmol/L (diabetes: OR 1.456, 95% CI: 1.366–1.550; prediabetes: OR 1.553, 95% CI: 1.421–1.697; and IR: OR 1.490, 95% CI: 1.389–1.598). Conclusion: RC is more positively related to diabetes, prediabetes, and IR than conventional lipids and lipid ratios in the general population, the relationships between RC and diabetes, prediabetes, and IR are stable, even if HDL‐C, LDL‐C, or TG are at appropriate levels. [ABSTRACT FROM AUTHOR]

Published
2024
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23. Examining the Linear Association Between Blood Pressure Levels and Cardiovascular Diseases in the Absence of Major Risk Factors in China

Author

Zheng, Ruizhi, Xu, Yu, Li, Mian, Lu, Jieli, Wu, Shujing, Niu, Jingya, Zhao, Zhiyun, Chen, Li, Huo, Yanan, Xu, Min, Wang, Tiange, Wang, Shuangyuan, Lin, Hong, Qin, Guijun, Yan, Li, Wan, Qin, Chen, Lulu, Shi, Lixin, Hu, Ruying, Tang, Xulei, Su, Qing, Yu, Xuefeng, Qin, Yingfen, Chen, Gang, Gao, Zhengnan, Wang, Guixia, Shen, Feixia, Luo, Zuojie, Chen, Yuhong, Zhang, Yinfei, Liu, Chao, Wang, Youmin, Wu, Shengli, Yang, Tao, Li, Qiang, Mu, Yiming, Zhao, Jiajun, Wang, Weiqing, Ning, Guang, and Bi, Yufang

Published
2022
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24. Age-specific modifiable risk factor profiles for cardiovascular disease and all-cause mortality: a nationwide, population-based, prospective cohort study

Author

Wang, Tiange, Zhao, Zhiyun, Yu, Xuefeng, Zeng, Tianshu, Xu, Min, Xu, Yu, Hu, Ruying, Chen, Gang, Su, Qing, Mu, Yiming, Chen, Lulu, Tang, Xulei, Yan, Li, Qin, Guijun, Wan, Qin, Gao, Zhengnan, Wang, Guixia, Shen, Feixia, Luo, Zuojie, Qin, Yingfen, Chen, Li, Huo, Yanan, Li, Qiang, Ye, Zhen, Zhang, Yinfei, Liu, Chao, Wang, Youmin, Wu, Shengli, Yang, Tao, Deng, Huacong, Zhao, Jiajun, Xu, Yiping, Li, Mian, Chen, Yuhong, Wang, Shuangyuan, Ning, Guang, Bi, Yufang, Shi, Lixin, Lu, Jieli, and Wang, Weiqing

Published
2021
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25. The Association between Educational Attainment and the Risk of Nonalcoholic Fatty Liver Disease among Chinese Adults: Findings from the REACTION Study

Author

Zhu, Yuanyue, primary, Wang, Long, additional, Lin, Lin, additional, Huo, Yanan, additional, Wan, Qin, additional, Qin, Yingfen, additional, Hu, Ruying, additional, Shi, Lixin, additional, Su, Qing, additional, Yu, Xuefeng, additional, Yan, Li, additional, Qin, Guijun, additional, Tang, Xulei, additional, Chen, Gang, additional, Wang, Shuangyuan, additional, Lin, Hong, additional, Wu, Xueyan, additional, Hu, Chunyan, additional, Li, Mian, additional, Xu, Min, additional, Xu, Yu, additional, Wang, Tiange, additional, Zhao, Zhiyun, additional, Gao, Zhengnan, additional, Wang, Guixia, additional, Shen, Feixia, additional, Gu, Xuejiang, additional, Luo, Zuojie, additional, Chen, Li, additional, Li, Qiang, additional, Ye, Zhen, additional, Zhang, Yinfei, additional, Liu, Chao, additional, Wang, Youmin, additional, Wu, Shengli, additional, Yang, Tao, additional, Deng, Huacong, additional, Chen, Lulu, additional, Zeng, Tianshu, additional, Zhao, Jiajun, additional, Mu, Yiming, additional, Wang, Weiqing, additional, Ning, Guang, additional, Bi, Yufang, additional, Chen, Yuhong, additional, and Lu, Jieli, additional

Published
2024
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28. Predictive factors that influence the clinical efficacy of umbilical cord–derived mesenchymal stromal cells in the treatment of type 2 diabetes mellitus

Author

Wang, Yuepeng, primary, Chen, Haixu, additional, Li, Yijun, additional, Hao, Haojie, additional, Liu, Jiejie, additional, Chen, Yulong, additional, Meng, Junhua, additional, Zhang, Saichun, additional, Gu, Weijun, additional, Lyu, Zhaohui, additional, Zang, Li, additional, and Mu, Yiming, additional

Published
2024
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29. Anti-obesity effect and mechanism of mesenchymal stem cells influence on obese mice

Author

Xie Zongyan, Cheng Yu, Zhang Qi, Hao Haojie, Yin Yaqi, Zang Li, Wang Xuhong, and Mu Yiming

Subjects
adipose tissue, mesenchymal stem cell, energy expenditure, obesity, macrophage, Biology (General), QH301-705.5
Abstract

Mesenchymal stem cells (MSCs) can be obtained from almost all tissues and present promising therapeutic effects for metabolic diseases. Human adipose-derived MSCs (hASCs) have recently been widely studied due to their easy access and low immunity. Thus, we intended to figure out the effects and potential mechanism of hASCs on obesity in high-fat-diet (HFD)-induced obese mice. Following 16 weeks of being fed HFD, hASCs were intravenously injected. Two weeks later, body weight, body composition, and energy expenditure were evaluated. Additionally, the phenotypes of macrophages infiltrating adipose tissue were analyzed. The results revealed that hASCs administration significantly reduced adipose tissue weight, adipocyte size, and fat mass and exerted beneficial effects in serum lipid profile. This anti-obesity effect was mediated by the increased O2 consumption, CO2 production, and energy expenditure, which was further evidenced by the upregulation of uncoupling protein-1 (UCP-1) and metabolism-associated genes. Furthermore, hASCs infusion increased the amount of alternatively activated (M2) macrophages in adipose tissue, and the expression of pro-inflammatory cytokines-related genes was reduced. Taken together, these results indicated that hASCs suppressed obesity by increasing UCP-1 expression and enhancing energy expenditure, and this effect might be due to the increased M2 macrophages.

Published
2021
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38. Association between hemoglobin glycation index and 5-year major adverse cardiovascular events: the REACTION cohort study

Author

Wang, Yuhan, primary, Liu, Hongzhou, additional, Hu, Xiaodong, additional, Wang, Anping, additional, Wang, Anning, additional, Kang, Shaoyang, additional, Zhang, Lingjing, additional, Gu, Weijun, additional, Dou, Jingtao, additional, Mu, Yiming, additional, Chen, Kang, additional, Wang, Weiqing, additional, and Lyu, Zhaohui, additional

Published
2023
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45. Body roundness index is related to the low estimated glomerular filtration rate in Chinese population: A cross-sectional study

Author

Zhang, Yue, primary, Gao, Wenxing, additional, Ren, Rui, additional, Liu, Yang, additional, Li, Binqi, additional, Wang, Anping, additional, Tang, Xulei, additional, Yan, Li, additional, Luo, Zuojie, additional, Qin, Guijun, additional, Chen, Lulu, additional, Wan, Qin, additional, Gao, Zhengnan, additional, Wang, Weiqing, additional, Ning, Guang, additional, and Mu, Yiming, additional

Published
2023
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46. Remnant cholesterol is independently associated with diabetes, even if the traditional lipid is at the appropriate level: A report from the REACTION study

Author

Li, Binqi, primary, Zhou, Xin, additional, Wang, Weiqing, additional, Gao, Zhengnan, additional, Yan, Li, additional, Qin, Guijun, additional, Tang, Xulei, additional, Wan, Qin, additional, Chen, Lulu, additional, Luo, Zuojie, additional, Ning, Guang, additional, and Mu, Yiming, additional

Published
2023
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47. Nomogram for predicting intraoperative hemodynamic instability in patients with normotensive pheochromocytoma

Author

Liu, Yingshu, primary, Liu, Chao, additional, Wang, Yao, additional, Li, Shen, additional, Li, Xinyu, additional, Liu, Xuhan, additional, Wang, Bing, additional, Pei, Zuowei, additional, Li, Linfeng, additional, Lin, Lu, additional, Qu, Jianchang, additional, Chen, Kang, additional, Zang, Li, additional, Gu, Weijun, additional, Mu, Yiming, additional, Lyu, Zhaohui, additional, Dou, Jingtao, additional, and Gao, Zhengnan, additional

Published
2023
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48. Blood Pressure Levels, Cardiovascular Events, and Renal Outcomes in Chronic Kidney Disease Without Antihypertensive Therapy: A Nationwide Population-Based Cohort Study

Author

Wu, Shujing, primary, Li, Mian, additional, Lu, Jieli, additional, Tang, Xulei, additional, Wang, Guixia, additional, Zheng, Ruizhi, additional, Niu, Jingya, additional, Chen, Li, additional, Huo, Yanan, additional, Xu, Min, additional, Wang, Tiange, additional, Zhao, Zhiyun, additional, Wang, Shuangyuan, additional, Lin, Hong, additional, Qin, Guijun, additional, Yan, Li, additional, Wan, Qin, additional, Chen, Lulu, additional, Shi, Lixin, additional, Hu, Ruying, additional, Su, Qing, additional, Yu, Xuefeng, additional, Qin, Yingfen, additional, Chen, Gang, additional, Gao, Zhengnan, additional, Shen, Feixia, additional, Luo, Zuojie, additional, Chen, Yuhong, additional, Zhang, Yinfei, additional, Liu, Chao, additional, Wang, Youmin, additional, Wu, Shengli, additional, Yang, Tao, additional, Li, Qiang, additional, Mu, Yiming, additional, Zhao, Jiajun, additional, Ning, Guang, additional, Bi, Yufang, additional, Wang, Weiqing, additional, Xu, Yu, additional, Li, Donghui, additional, Lai, Shenghan, additional, Bloomgarden, Zachary T., additional, Ye, Zhen, additional, and Deng, Huacong, additional

Published
2023
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49. High hemoglobin glycation index is associated with increased risk of diabetes: A population-based cohort study in China

Author

Lin, Lu, Wang, Anping, Jia, Xiaomeng, Wang, Haibin, He, Yan, Mu, Yiming, and Dou, Jingtao

Subjects
Endocrinology, Diabetes and Metabolism
Abstract

PurposeThe hemoglobin glycation index (HGI) quantifies the mismatch between glycated hemoglobin A1c and average glycemia among individuals. Currently, it is unknown the potential role of HGI in exhaustively evaluating the progression of glucose metabolism/the risk of developing diabetes mellitus. Therefore, this study aimed to investigate the association between HGI and the risk of incident diabetes.MethodsA total of 7,345 participants aged at least 40 years and without diabetes were divided into three groups according to the tertile of their baseline HGI level and followed for a median of 3.24 years to track new-onset diabetes. Using multivariate Cox regression analyses, we explored the association between the HGI, both categorized and continuous, and incident diabetes.ResultsDuring follow-up, 742 subjects (263 males and 479 females) developed diabetes mellitus. Higher HGI was associated with an increased risk of diabetes, even when adjusted for confounding factors, and every standard deviation increase in HGI was associated with a significant risk increase of 30.6% for diabetes (hazard ratio 1.306, 95% confidence interval 1.232–1.384).ConclusionsParticipants with a higher HGI were at a higher risk of future diabetes, irrespective of their glycemic conditions. Consequently, HGI may be employed to identify individuals at high risk for diabetes.

Published
2023

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