Xiangtong Liu
Capital Medical University
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Featured researches published by Xiangtong Liu.
PLOS ONE | 2015
Fangfang Huang; Xia Li; Chao Wang; Qin Xu; Wei Wang; Yanxia Luo; Lixin Tao; Qi Gao; Jin Guo; Sipeng Chen; Kai Cao; Long Liu; Ni Gao; Xiangtong Liu; Kun Yang; Aoshuang Yan; Xiuhua Guo
Objective Limited information is available regarding spatiotemporal variations of particles with median aerodynamic diameter < 2.5 μm (PM2.5) at high resolutions, and their relationships with meteorological factors in Beijing, China. This study aimed to detect spatiotemporal change patterns of PM2.5 from August 2013 to July 2014 in Beijing, and to assess the relationship between PM2.5 and meteorological factors. Methods Daily and hourly PM2.5 data from the Beijing Environmental Protection Bureau (BJEPB) were analyzed separately. Ordinary kriging (OK) interpolation, time-series graphs, Spearman correlation coefficient and coefficient of divergence (COD) were used to describe the spatiotemporal variations of PM2.5. The Kruskal-Wallis H test, Bonferroni correction, and Mann-Whitney U test were used to assess differences in PM2.5 levels associated with spatial and temporal factors including season, region, daytime and day of week. Relationships between daily PM2.5 and meteorological variables were analyzed using the generalized additive mixed model (GAMM). Results Annual mean and median of PM2.5 concentrations were 88.07 μg/m3 and 71.00 μg/m3, respectively, from August 2013 to July 2014. PM2.5 concentration was significantly higher in winter (P < 0.0083) and in the southern part of the city (P < 0.0167). Day to day variation of PM2.5 showed a long-term trend of fluctuations, with 2–6 peaks each month. PM2.5 concentration was significantly higher in the night than day (P < 0.0167). Meteorological factors were associated with daily PM2.5 concentration using the GAMM model (R 2 = 0.59, AIC = 7373.84). Conclusion PM2.5 pollution in Beijing shows strong spatiotemporal variations. Meteorological factors influence the PM2.5 concentration with certain patterns. Generally, prior day wind speed, sunlight hours and precipitation are negatively correlated with PM2.5, whereas relative humidity and air pressure three days earlier are positively correlated with PM2.5.
Neuroepidemiology | 2017
Zhenghong Chen; Bin Jiang; Xiaojuan Ru; Haixin Sun; Dongling Sun; Xiangtong Liu; Yichong Li; Di Li; Xiuhua Guo; Wenzhi Wang
Background: In China, stroke is the leading cause of death and contributes to a heavy disease burden. However, a nationwide population-based survey of the mortality of stroke and its subtypes is lacking for this country. Methods: Data derived from the National Epidemiological Survey of Stroke in China, which was a multistage, stratified clustering sampling-designed, cross-sectional survey, were analyzed. Mortality rate analyses were performed for 476,156 participants ≥20 years old from September 1, 2012 to August 31, 2013. Results: Of the 476,156 participants in the investigated population, 364 died of ischemic stroke, 373 of hemorrhagic stroke, and 21 of stroke of undetermined pathological type. The age-standardized mortality rates per 100,000 person-years among those aged ≥20 years were 114.8 for total stroke, 56.5 for ischemic stroke, and 55.8 for hemorrhagic stroke. The age-standardized mortality rates of total stroke, ischemic stroke, and hemorrhagic stroke were all higher in rural areas than those in urban areas. The stroke mortality rate was higher in the northern regions than in the south. An estimated 1.12 million people aged ≥20 years in China died of stroke during the period from September 1, 2012 to August 31, 2013. Conclusions: The burden of stroke in China is still heavy. Greater attention should be paid to improve strategies for preventing stroke.
Medicine | 2016
Anxin Wang; Lingyun Wu; Xiaoxue Liu; Zhaoping Su; Yanxia Luo; Shuohua Chen; Haibin Li; Xiangtong Liu; Lixin Tao; Jin Guo; Feng Zhang; Yibin Cao; Xingquan Zhao; Shouling Wu; Xiuhua Guo
AbstractFew studies have investigated the prevalence of carotid plaque with different stability in Chinese. As is well known, carotid atherosclerosis is tightly associated with metabolic syndrome (MetS); however, the data about the association between the presence of carotid plaque with different stability and MetS was limited. The aim of our study was to investigate the prevalence of carotid plaque with different stability and its potential association with MetS in general Chinese population.The Asymptomatic Polyvascular Abnormalities Community study is a community-based study to investigate the epidemiology of asymptomatic polyvascular abnormalities in Chinese adults. A total of 5393 participants were finally eligible and included in this study. The carotid plaque and its stability were assessed using ultrasonography. The MetS was defined using the criteria from US National Cholesterol Education Program-Adult Treatment Panel III. Data were analyzed with multivariate logistic regression models.Of the 5393 subjects, 1397 (25.9%) participants had stable carotid plaque, 1518 (28.1%) had unstable carotid plaque in participants, and 1456 (27.0%) had a MetS. MetS was, respectively, significantly associated with the prevalence of carotid plaque (odds ratio [OR]: 1.25; 95% confidence interval [CI]: 1.07, 1.47), stable carotid plaque (OR: 1.23; 95% CI: 1.02,1.48), and unstable carotid plaque (OR: 1.27; 95% CI: 1.03,1.56) after adjusting for age, gender, level of education, income, smoking, drinking, physical activity, body mass index, low-density lipoprotein, and high-sensitivity C-reactive protein. With the number of MetS components, the prevalence of carotid plaque, stable carotid plaque, and unstable carotid plaque significantly increased (P for trend <0.0001), respectively.In summary, the prevalence of carotid plaque was 54.1%, stable carotid plaque was 25.9%, and unstable carotid plaque was 28.1%. Our study revealed that the prevalence of carotid plaque, stable carotid plaque, and unstable carotid plaque was, respectively, significantly associated with MetS in the general population.
BMC Public Health | 2015
Xiangtong Liu; Lixin Tao; Kai Cao; Zhaoping Wang; Dongning Chen; Jin Guo; Huiping Zhu; Xinghua Yang; Youxin Wang; Jingjing Wang; Chao Wang; Long Liu; Xiuhua Guo
BackgroundHigh-density lipoprotein (HDL) is associated with the incidence of metabolic syndrome (MetS). It is unclear whether subjects with different HDL levels develop different components of MetS over time. Our study aimed to determine what MetS components tend to emerge and change relative to different levels of HDL.MethodsDuring the period 2007 to 2012, 4,905 adults in Tongren and Xiaotangshan Hospitals in Beijing were included with no MetS, self-reported type 2 diabetes, or cardiovascular disease at baseline. An association rule was used to determine the changes of MetS components over time.ResultsThe incidence of MetS at follow-up was 3.40% for men and 1.50% for women in the high-normal HDL group; 6.65% and 4.55%, respectively, in the normal HDL group; and 11.05% and 6.45%, respectively, in the low HDL group. The most common transition was from healthy to healthy in normal-high or normal HDL groups (47.2% to 63.8%), whereas 11.7% to 39.9% of subjects with low HDL returned to healthy status or stayed unchanged in the low HDL group. The most common new-onset components were elevated blood pressure (9.2 to 10.0%), elevated high-density lipoprotein (5.5 to 11.0%), and raised fasting glucose (5.4 to 5.5%) in the groups with normal-high or normal HDL.ConclusionsThe incidence of MetS increased in parallel with the decrease in HDL. Adults with a low HDL level were more susceptible to developing MetS over time. Low HDL seemed to be a pre-existing phase of MetS and may be a crucial status for MetS prevention.
Scientific Reports | 2016
Anxin Wang; Guojuan Chen; Zhaoping Su; Xiaoxue Liu; Xiangtong Liu; Haibin Li; Yanxia Luo; Lixin Tao; Jin Guo; Long Liu; Shuohua Chen; Shouling Wu; Xiuhua Guo
Few risk scores have been specifically developed to identify individuals at high risk of type 2 diabetes in China. In the present study, we aimed to develop such risk scores, based on simple clinical variables. We studied a population-based cohort of 73,987 adults, aged 18 years and over. After 5.35 ± 1.59 years of follow-up, 4,726 participants (9.58%) in the exploration cohort developed type 2 diabetes and 2,327 participants (9.44%) in the validation cohort developed type 2 diabetes. Age, gender, body mass index, family history of diabetes, education, blood pressure, and resting heart rate were selected to form the concise score with an area under the receiver operating characteristic curve (AUC) of 0.67. The variables in the concise score combined with fasting plasma glucose (FPG), and triglyceride (TG) or use of lipid-lowering drugs constituted the accurate score with an AUC value of 0.77. The utility of the two scores was confirmed in the validation cohort with AUCs of 0.66 and 0.77, respectively. In summary, the concise score, based on non-laboratory variables, could be used to identify individuals at high risk of developing diabetes within Chinese population; the accurate score, which also uses FPG and TG data, is better at identifying such individuals.
Medicine | 2016
Long Liu; Zhe Tang; Xia Li; Yanxia Luo; Jin Guo; Haibin Li; Xiangtong Liu; Lixin Tao; Aoshuang Yan; Xiuhua Guo
AbstractThe study aimed to construct a risk prediction model for coronary artery disease (CAD) based on competing risk model among the elderly in Beijing and develop a user-friendly CAD risk score tool.We used competing risk model to evaluate the risk of developing a first CAD event. On the basis of the risk factors that were included in the competing risk model, we constructed the CAD risk prediction model with Cox proportional hazard model. Time-dependent receiver operating characteristic (ROC) curve and time-dependent area under the ROC curve (AUC) were used to evaluate the discrimination ability of the both methods. Calibration plots were applied to assess the calibration ability and adjusted for the competing risk of non-CAD death. Net reclassification index (NRI) and integrated discrimination improvement (IDI) were applied to quantify the improvement contributed by the new risk factors. Internal validation of predictive accuracy was performed using 1000 times of bootstrap re-sampling.Of the 1775 participants without CAD at baseline, 473 incident cases of CAD were documented for a 20-year follow-up. Time-dependent AUCs for men and women at t = 10 years were 0.841 [95% confidence interval (95% CI): 0.806–0.877], 0.804 (95% CI: 0.768–0.839) in Fine and Gray model, 0.784 (95% CI: 0.738–0.830), 0.733 (95% CI: 0.692–0.775) in Cox proportional hazard model. The competing risk model was significantly superior to Cox proportional hazard model on discrimination and calibration. The cut-off values of the risk score that marked the difference between low-risk and high-risk patients were 34 points for men and 30 points for women, which have good sensitivity and specificity.A sex-specific multivariable risk factor algorithm-based competing risk model has been developed on the basis of an elderly Chinese cohort, which could be applied to predict an individuals risk and provide a useful guide to identify the groups at a high risk for CAD among the Chinese adults over 55 years old.
Medicine | 2016
Kun Yang; Lixin Tao; Gehendra Mahara; Yan Yan; Kai Cao; Xiangtong Liu; Sipeng Chen; Qin Xu; Long Liu; Chao Wang; Fangfang Huang; Jie Zhang; Aoshuang Yan; Zhao Ping; Xiuhua Guo
AbstractThe quadratic inference function (QIF) method becomes more acceptable for correlated data because of its advantages over generalized estimating equations (GEE). This study aimed to evaluate the relationship between platelet indices and blood pressure using QIF method, which has not been studied extensively in real data settings.A population-based longitudinal study was conducted in Beijing from 2007 to 2012, and the median of follow-up was 6 years. A total of 6515 cases, who were aged between 20 and 65 years at baseline and underwent routine physical examinations every year from 3 Beijing hospitals were enrolled to explore the association between platelet indices and blood pressure by QIF method. The original continuous platelet indices were categorized into 4 levels (Q1–Q4) using the 3 quartiles of P25, P50, and P75 as a critical value. GEE was performed to make a comparison with QIF.After adjusting for age, usage of drugs, and other confounding factors, mean platelet volume was negatively associated with diastolic blood pressure (DBP) in males and positively linked with systolic blood pressure (SBP) . Platelet distribution width was negatively associated with SBP . Blood platelet count was associated with DBP in males.Adults in Beijing with prolonged exposure to extreme value of platelet indices have elevated risk for future hypertension and evidence suggesting using some platelet indices for early diagnosis of high blood pressure was provided.
International Journal of Medical Sciences | 2016
Lixin Tao; Kun Yang; Xiangtong Liu; Kai Cao; Huiping Zhu; Yanxia Luo; Jin Guo; Lijuan Wu; Xia Li; Xiuhua Guo
Background:Longitudinal associations between triglycerides (TG) and other metabolic syndrome (MetS) components have rarely been reported. The purpose was to investigate the longitudinal association between TG and other MetS components with time. Methods:The longitudinal study was established in 2007 on individuals who attended health check-ups at Beijing Tongren Hospital and Beijing Xiaotangshan Hospital. Data used in this study was based on 7489 participants who had at least three health check-ups over a period of 5-year follow up. Joint model was used to explore longitudinal associations between TG and other MetS components after adjusted for age. Results:There were positive correlations between TG and other MetS components except for high density lipoprotein (HDL), and the correlations increased with time. A negative correlation was displayed between TG and HDL, and the correlation also increased with time. Among all five pairs of TG and other MetS components, the marginal correlation between TG and body mass index (BMI) was the largest for both men and women. The marginal correlation between TG and fasting plasma glucose was the smallest for men, while the marginal correlation between TG and diastolic blood pressure was the smallest for women. Conclusions: The longitudinal association between TG and other MetS components increased with time. Among five pairs of TG and other MetS components, the longitudinal correlation between TG and BMI was the largest. It is important to closely monitor subjects with high levels of TG and BMI in health check-up population especially for women, because these two components are closely associated with development of hypertension, diabetes, cardiovascular disease and other metabolic diseases.
Journal of Cardiology | 2018
Haibin Li; Nicholas Van Halm-Lutterodt; Deqiang Zheng; Yue Liu; Jin Guo; Wei Feng; Xia Li; Anxin Wang; Xiangtong Liu; Lixin Tao; Chengbei Hou; Yanxia Luo; Feng Zhang; Xinghua Yang; Qi Gao; Wei Wang; Zhe Tang; Xiuhua Guo
BACKGROUND Depressive symptoms tend to fluctuate over time. Data on the relationship between time-dependent depressive symptoms and the risk of cardiovascular and all-cause mortality among the elderly in China are lacking. METHODS AND RESULTS A prospective cohort of 1999 subjects aged ≥55 years were enrolled in the Beijing Longitudinal Study of Aging since 1992. Depressive symptoms were assessed at baseline (0 years) and after 2, 5, 8, and 12 years, defined as a score of ≥16 on the 20-item Center for Epidemiological Studies Depression Scale. Mortality status was obtained from the local death registry until December 31st, 2012. Hazard ratio (HR) for all-cause mortality and sub-distribution HR (SHR) for cardiovascular mortality were respectively deduced from time-dependent Cox and competing risk models. During 19,658 person-years of follow-up, 1127 (55.65%) deaths were recorded, of which 483 (23.85%) were attributable to cardiovascular inclinations. Baseline depressive symptoms were neither associated with all-cause mortality (adjusted HR: 1.12, 95% confident interval, CI: 0.94-1.33) nor cardiovascular mortality (adjusted SHR: 1.10, 95% CI: 0.82-1.46) after adjustment of potential cardiac-risk factors. When depressive symptoms were used as time-dependent variable updated from 1992 to 2004, the associations were significant for both all-cause mortality (adjusted HR: 1.48, 95% CI: 1.26-1.73) and cardiovascular mortality (adjusted SHR: 1.40, 95% CI: 1.08-1.82) in the full adjusted model. CONCLUSIONS Time-dependent depressive symptoms increased the risk of all-cause and cardiovascular mortality among the elderly in China.
International Journal of Environmental Research and Public Health | 2017
Lixin Tao; Kun Yang; Fangfang Huang; Xiangtong Liu; Xia Li; Yanxia Luo; Lijuan Wu; Xiuhua Guo
The risk of incident prediabetes with gain in waist circumference (WC) has not been addressed among Chinese adults. A total of 7951 participants who underwent health check-ups at the Beijing Physical Examination Center and Beijing Xiaotangshan hospital were recruited in 2009 and followed up in 2016. Participants were classified into four groups according to categories of percent WC gain: ≤−2.5%, −2.5–2.5%, 2.5–5%, and >5%. The effect of WC gain on prediabetes was evaluated using modified Poisson regression models. Over seven years of follow-up, we identified 1034 prediabetes cases (413 women). Compared with a WC gain of ≤−2.5%, participants with a WC gain of >5% have a higher risk of prediabetes, be they male (non-abdominal obesity at baseline group: RR = 1.57, 95% CI: 1.10–2.24, abdominal obesity at baseline group: RR = 1.66, 95% CI: 1.20–2.30) or female (non-abdominal obesity at baseline group: RR = 1.74, 95% CI: 1.14–2.64, abdominal obesity at baseline group: RR = 2.47, 95% CI: 1.43–4.28). In conclusion, the risk of prediabetes increased significantly with increasing WC for both genders in the Chinese population. Lifestyle interventions aiming at preventing abdominal obesity are urgently needed to reduce the increasing burden of prediabetes, diabetes, and its complications.