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Xianling Wang - One of the best experts on this subject based on the ideXlab platform.

R R Holman - One of the best experts on this subject based on the ideXlab platform.

  • predicting the risk of developing type 2 diabetes in Chinese People who have coronary heart disease and impaired glucose tolerance
    Journal of Diabetes, 2021
    Co-Authors: Charles A B Scott, Ruth L Coleman, Jaakko Tuomilehto, R R Holman
    Abstract:

    AIMS Robust diabetes risk estimates in Asian patients with impaired glucose tolerance (IGT) and coronary heart disease (CHD) are lacking. We developed a Chinese type 2 diabetes risk calculator using Acarbose Cardiovascular Evaluation (ACE) trial data. METHODS There were 3105 placebo-treated ACE participants with requisite data for model development. Clinically relevant variables, and those showing nominal univariate association with new-onset diabetes (P < .10), were entered into BASIC (clinical variables only), EXTENDED (clinical variables plus routinely available laboratory results), and FULL (all candidate variables) logistic regression models. External validation was performed using the Luzhou prospective cohort of 1088 Chinese patients with IGT. RESULTS Over median 5.0 years, 493 (15.9%) ACE participants developed diabetes. Lower age, higher body mass index, and use of corticosteroids or thiazide diuretics were associated with higher diabetes risk. C-statistics for the BASIC (using these variables), EXTENDED (adding male sex, fasting plasma glucose, 2-hour glucose, and HbA1c), and FULL models were 0.610, 0.757, and 0.761 respectively. The EXTENDED model predicted a lower 13.9% 5-year diabetes risk in the Luzhou cohort than observed (35.2%, 95% confidence interval 31.3%-39.5%, C-statistic 0.643). CONCLUSION A risk prediction model using routinely available clinical variables can be used to estimate diabetes risk in Chinese People with CHD and IGT.

  • risk prediction models for incident type 2 diabetes in Chinese People with impaired glucose tolerance a systematic literature review and external validation study
    The Lancet, 2020
    Co-Authors: Qin Wan, Ruth L Coleman, Jaakko Tuomilehto, Nanwei Tong, R R Holman
    Abstract:

    Abstract Background Preventing type 2 diabetes is a major challenge in China, which has the world's largest population with impaired glucose tolerance (IGT). Given that no validated diabetes risk-prediction tools exist for Chinese People with IGT to inform decision making when considering primary diabetes prevention measures, we evaluated the performance of published Asian-derived type 2 diabetes risk-prediction models in Chinese People with IGT. Methods To identify Asian-derived type 2 diabetes risk-prediction models we did a systematic MEDLINE and Embase literature search for publications from inception until July 13, 2019. The publications identified were divided into basic (clinical variables only) and extended (plus laboratory variables) models. Validation was done in two prospective Chinese IGT cohorts: the Acarbose Cardiovascular Evaluation (ACE) trial of participants with IGT and coronary heart disease treated with placebo (n=3241), and the Luzhou survey cohort with IGT in which 96% did not have coronary heart disease (n=1155). Model performance was assessed in terms of discrimination (C-statistic) and calibration (Hosmer-Lemeshow test and calibration plot). Findings We identified 36 Asian-derived models (13 basic and 23 extended). In the ACE trial type 2 diabetes developed over a median of 5 years (IQR 3·4–6·0) with a follow-up for 15·7% of participants and in the Luzhou cohorts the disease developed over 3 years (3·0–3·0) with a follow-up for 20·7%. Basic models showed poor discrimination in these populations (C-statistic 0·53–0·59 for the ACE trial participants and 0·52–0·58 for the Luzhou cohorts). Extended models showed poor-to-acceptable discrimination (C-statistic 0·56–0·73 for the ACE trial participants and 0·51–0·66 for the Luzhou cohorts). Most extended models overestimated diabetes risk in the ACE cohort and underestimated risk in the Luzhou cohort, whereas all basic models underestimated diabetes risk in both populations. Basic and extended models showed poor calibration, although performance was improved by recalibration. The navigator model showed the best discrimination in both populations but had poor calibration. Interpretation In Chinese People with IGT (with or without coronary heart disease), Asian-derived basic models to predict type 2 diabetes did not exhibit good discrimination or calibration. Several extended models performed better, but a robust Chinese diabetes risk-prediction tool remains a major unmet need. Funding None.

  • 2436 pub predicting risk for new onset type 2 diabetes in Chinese People with coronary heart disease and impaired glucose tolerance
    Diabetes, 2019
    Co-Authors: Charles A B Scott, Ruth L Coleman, Jaakko Tuomilehto, R R Holman
    Abstract:

    Background and Aims: Patients with cardiovascular disease are at high risk of type 2 diabetes (T2D), but little has been done to provide robust T2D risk estimates. We used Acarbose Cardiovascular Evaluation (ACE) trial data to develop a T2D risk calculator for Chinese People with coronary heart disease (CHD) and impaired glucose tolerance (IGT). Methods: ACE recruited 6522 Chinese CHD patients with IGT, randomized 1:1 to acarbose or placebo, with prospective ascertainment of new-onset diabetes over median 5.0 years. Logistic regression was used to develop basic and full risk prediction models in the 6238 with the requisite baseline data. Clinically relevant variables and variables showing a univariate association (P Results: Overall 918 (15%) of 6238 participants developed diabetes. The basic model, using only clinical variables, was a poor fit with an area under the receiver-operating characteristic curve (AUC) of 0.60, whilst the full model including routinely-available laboratory results had an AUC of 0.76 with excellent goodness of fit (Table). Conclusion: In Chinese People with IGT and CHD, lower age, male sex, obesity, prior hypertension, calcium channel blocker use, nondiabetic hyperglycaemia and dyslipidaemia were major determinants for new-onset diabetes. A model comprising these factors can be used to predict 5-year T2D risk. Disclosure S. Xu: None. C.A. Scott: None. R.L. Coleman: None. J. Tuomilehto: Advisory Panel; Self; Novo Nordisk A/S. Board Member; Self; AstraZeneca. Research Support; Self; Bayer AG. R.R. Holman: Advisory Panel; Self; Bayer AG, Novartis AG, Novo Nordisk A/S. Research Support; Self; AstraZeneca, Bayer AG, Merck Sharp & Dohme Corp. Other Relationship; Self; AstraZeneca, Bayer AG, GlaxoSmithKline plc., Janssen Pharmaceuticals, Inc.

Frank B Hu - One of the best experts on this subject based on the ideXlab platform.

  • associations of physical activity with inflammatory factors adipocytokines and metabolic syndrome in middle aged and older Chinese People
    Circulation, 2009
    Co-Authors: Zhijie Yu, Jing Wang, Xingwang Ye, Qibin Qi, Oscar H Franco, Kirsten L Rennie, Huaixing 黎怀星 Li, Frank B Hu
    Abstract:

    Background—Inflammatory factors, adipocytokines, and the metabolic syndrome are important determinants of cardiometabolic disease. It remains unclear how physical activity is related to these risk factors. Our objective was to investigate single and joint associations of physical activity with inflammatory factors, adipocytokines, and the metabolic syndrome among middle-aged and older Chinese People. Methods and Results—A total of 3289 individuals (1458 men, 1831 women) 50 to 70 years of age participated in a population-based cross-sectional survey in Beijing and Shanghai, China. Levels of total physical activity were assessed with the International Physical Activity Questionnaire. High-sensitivity C-reactive protein, interleukin-6, tumor necrosis factor- receptor 2, adiponectin, and retinol-binding protein 4 were measured. The metabolic syndrome was defined using the updated National Cholesterol Education Program/Adult Treatment Panel III criteria for Asian Americans. Plasma concentrations of high-sensitivity C-reactive protein were 1.58, 1.74, and 1.27 mg/L (P0.0138) and of adiponectin were 16.12, 16.20, and 17.21 mg/L (P0.0078) among individuals with low, medium, and high levels of total physical activity, respectively, with adjustment for potential confounders. In the multivariable-adjusted logistic regression analyses, participants with higher levels of total physical activity had a lower risk of having the metabolic syndrome (odds ratio, 0.68; 95% confidence interval, 0.54 to 0.85; P for trend0.001) compared with those with lower levels. Conclusions—Being physically active is associated with a better profile of inflammatory factors and adipocytokines and a reduced risk of having the metabolic syndrome among Chinese People. (Circulation. 2009;119:2969-2977.)

  • a prediction model for type 2 diabetes risk among Chinese People
    Diabetologia, 2009
    Co-Authors: Kuoliong Chien, Tachen Su, Weitien Chang, Mingfong Chen, Frank B Hu
    Abstract:

    Aims/hypothesis A range of prediction rules for the onset of type 2 diabetes have been proposed. However, most studies have been conducted in white groups and it is not clear whether these models apply to Asian populations. The purpose of this study was to construct a simple points model for predicting incident diabetes among Chinese People.

Qinghua Guo - One of the best experts on this subject based on the ideXlab platform.

  • JB: Pituitary stalk interruption syndrome in Chinese People: clinical characteristic analysis of 55 cases. PLoS One 2013
    2016
    Co-Authors: Qinghua Guo, Yan Yang, Changyu Pan, Jingtao Dou, Baoan Wang, Xiaoman Zou
    Abstract:

    Objective: Pituitary stalk interruption syndrome (PSIS) is characterized by the absence of pituitary stalk, pituitary hypoplasia, and ectopic posterior pituitary. Due to the rarity of PSIS, clinical data are limited, especially in Chinese People. Herein, we analyzed the clinical characteristics of patients diagnosed with PSIS from our center over 10 years. Patients and Methods: We retrospectively analyzed the clinical manifestations and laboratory and MRI findings in 55 patients with PSIS. Results: Of the 55 patients with PSIS, 48 (87.3%) were male. The average age was 19.766.7 years and there was no familial case. A history of breech delivery was documented in 40 of 45 patients (88.9%) and 19 of 55 patients (34.5%) had a history of dystocia. Short stature was found in 47 of 55 patients (85.5%) and bone age delayed 7.2665.37 years. Secondary sex characteristics were poor or undeveloped in most patients. The prevalence of deficiencies in growth hormone, gonadotropins, corticotropin, and thyrotropin were 100%, 95.8%, 81.8%, 76.3%, respectively. Hyperprolactinemia was found in 36.4 % of patients. Three or more pituitary hormone deficiencies were found in 92.7 % of the patients. All patients had normal posterior pituitary function and absent pituitary stalk on imaging. The average height of anterior pituitary was 28 mm, documented anterior pituitary hypoplasia. Midline abnormalities were presented in 9.1 % of patients. Conclusions: The clinical features of our Chinese PSIS patients seem to be different from other reported patients i

  • pituitary stalk interruption syndrome in Chinese People clinical characteristic analysis of 55 cases
    PLOS ONE, 2013
    Co-Authors: Qinghua Guo, Yan Yang, Changyu Pan, Jingtao Dou, Baoan Wang, Xiaoman Zou, Lijuan Yang, Jinzhi Ouyang, Guoqing Yang, Xianling Wang
    Abstract:

    Objective Pituitary stalk interruption syndrome (PSIS) is characterized by the absence of pituitary stalk, pituitary hypoplasia, and ectopic posterior pituitary. Due to the rarity of PSIS, clinical data are limited, especially in Chinese People. Herein, we analyzed the clinical characteristics of patients diagnosed with PSIS from our center over 10 years.

Jian Zhang - One of the best experts on this subject based on the ideXlab platform.

  • dietary pattern and dietary energy from fat associated with sarcopenia in community dwelling older Chinese People a cross sectional study in three regions of china
    Nutrients, 2020
    Co-Authors: Bingxian Kang, Ting Zhang, Pengkun Song, Jingyi Chen, Xile Wang, Wenhua Zhao, Jian Zhang
    Abstract:

    Associations between dietary patterns (DPs) and sarcopenia remain controversial, and fewer studies have mentioned the relationship between dietary energy composition and sarcopenia. The present cross-sectional study was conducted in three regions of China, to detect the associations between DPs and sarcopenia, and to identify the influencing nutrients. Exploratory factor analysis was conducted for DP identification. Logistic regressions were performed to explore the associations between DPs and sarcopenia. Dietary nutrients and dietary energy composition were calculated and compared among different DPs. Three DPs were identified from 861 community-dwelling older People. The "mushrooms-fruits-milk" pattern was negatively associated with sarcopenia (OR = 0.33, 95% CI = 0.14~0.77, p-trend = 0.009). Subjects in the highest quartile of the "mushrooms-fruits-milk" pattern showed more abundant intake (1.7 g/kg/d) of dietary protein, and lower percentage (31%) of energy from fat (PEF) than the other two DPs. Further analyses indicated that lower PEF (<30%) was negatively associated with sarcopenia. In conclusion, the "mushrooms-fruits-milk" pattern was negatively associated with sarcopenia in community-dwelling older Chinese People. This pattern showed abundant protein intake and low PEF, which may partially contribute to its protective effect on sarcopenia. Therefore, besides protein, dietary fat and PEF may also be considered in the prevention and management of sarcopenia.