@misc{wang_chang_dombroski_cheng_si_tucci_patil_valiente-banuet_farrell_mclean_et al._2024, title={Association of Structural Forms of 17q21.31 with the Risk of Progressive Supranuclear Palsy and<i>MAPT</i>Sub-haplotypes}, url={http://dx.doi.org/10.1101/2024.02.26.24303379}, DOI={10.1101/2024.02.26.24303379}, abstractNote={Abstract Importance The chromosome 17q21.31 region, containing a 900 Kb inversion that defines H1 and H2 haplotypes, represents the strongest genetic risk locus in progressive supranuclear palsy (PSP). In addition to H1 and H2, various structural forms of 17q21.31, characterized by the copy number of α, β, and γ duplications, have been identified. However, the specific effect of each structural form on the risk of PSP has never been evaluated in a large cohort study. Objective To assess the association of different structural forms of 17q.21.31, defined by the copy numbers of α, β, and γ duplications, with the risk of PSP and MAPT sub-haplotypes. Design, setting, and participants Utilizing whole genome sequencing data of 1,684 (1,386 autopsy confirmed) individuals with PSP and 2,392 control subjects, a case-control study was conducted to investigate the association of copy numbers of α, β, and γ duplications and structural forms of 17q21.31 with the risk of PSP. All study subjects were selected from the Alzheimer’s Disease Sequencing Project (ADSP) Umbrella NG00067.v7. Data were analyzed between March 2022 and November 2023. Main outcomes and measures The main outcomes were the risk (odds ratios [ORs]) for PSP with 95% CIs. Risks for PSP were evaluated by logistic regression models. Results The copy numbers of α and β were associated with the risk of PSP only due to their correlation with H1 and H2, while the copy number of γ was independently associated with the increased risk of PSP. Each additional duplication of γ was associated with 1.10 (95% CI, 1.04-1.17; P = 0.0018) fold of increased risk of PSP when conditioning H1 and H2. For the H1 haplotype, addition γ duplications displayed a higher odds ratio for PSP: the odds ratio increases from 1.21 (95%CI 1.10-1.33, P = 5.47 × 10 -5 ) for H1β1γ1 to 1.29 (95%CI 1.16-1.43, P = 1.35 × 10 -6 ) for H1β1γ2, 1.45 (95%CI 1.27-1.65, P = 3.94 × 10 -8 ) for H1β1γ3, and 1.57 (95%CI 1.10-2.26, P = 1.35 × 10 -2 ) for H1β1γ4. Moreover, H1β1γ3 is in linkage disequilibrium with H1c (R 2 = 0.31), a widely recognized MAPT sub-haplotype associated with increased risk of PSP. The proportion of MAPT sub-haplotypes associated with increased risk of PSP (i.e., H1c, H1d, H1g, H1o, and H1h) increased from 34% in H1β1γ1 to 77% in H1β1γ4. Conclusions and relevance This study revealed that the copy number of γ was associated with the risk of PSP independently from H1 and H2. The H1 haplotype with more γ duplications showed a higher odds ratio for PSP and were associated with MAPT sub-haplotypes with increased risk of PSP. These findings expand our understanding of how the complex structure at 17q21.31 affect the risk of PSP. Key Points Question Do large copy number variations (i.e., α, β, and γ) inside 17q21.31 contribute to the risk of progressive supranuclear palsy (PSP) independently from the H1 and H2 haplotypes? Do structural forms of 17q21.31, characterized by combinations of α, β, and γ, present divergent risk to the development of PSP? Are structural forms of 17q21.31 associated with MAPT sub-haplotypes, such as H1c? Findings In this case-control study of 1,684 individuals with PSP and 2,392 control subjects, the copy number of γ duplication was independently associated with the risk of the disease. H1 haplotypes with more γ duplications (H1β1γ2, H1β1γ3, and H1β1γ4) displayed a higher odds ratio for PSP when compared to H1β1γ1. Notably, H1β1γ3 was observed to be in linkage disequilibrium with H1c, a widely recognized MAPT sub-haplotype associated with PSP. Meaning The association between the H1 and H2 haplotypes and PSP involves multiple contributing factors, including the copy number of γ duplication.}, publisher={Cold Spring Harbor Laboratory}, author={Wang, Hui and Chang, Timothy S and Dombroski, Beth A and Cheng, Po-Liang and Si, Ya-Qin and Tucci, Albert and Patil, Vishakha and Valiente-Banuet, Leopoldo and Farrell, Kurt and Mclean, Catriona and et al.}, year={2024}, month={Feb} }
 @article{tian_wu_liu_wu_si_wang_wang_wu_wang_li_et al._2023, title={Ambient temperature variability and hospital admissions for pneumonia: A nationwide study}, volume={856}, url={http://www.scopus.com/inward/record.url?eid=2-s2.0-85139595303&partnerID=MN8TOARS}, DOI={10.1016/j.scitotenv.2022.159294}, abstractNote={Few investigations have assessed the impact of short-term ambient temperature change on pneumonia risk. We aimed to study the relation of temperature variability (TV) with daily hospitalizations for pneumonia in China. We conducted a time-series study in 184 major cities by extracting daily hospital data between 2014 and 2017 from a medical insurance claims database of 0.28 billion beneficiaries. TV was calculated as standard deviation of daily minimum and maximum temperatures over exposure days. We estimated associations of pneumonia admissions with TV for each city using over-dispersed generalized linear models controlling for weather conditions and ambient air pollution, and pooled city-specific estimates using random effects meta-analyses. We also investigated exposure-response relationship curve and potential effect modifiers. We identified 4.2 million pneumonia hospitalizations during the study period. TV was positively related to daily pneumonia admissions. At the national-average level, each 1-°C increase in TV at 0-6 days' exposure corresponded to a 0.65 % (95 % CI: 0.34 %-0.96 %) increase in pneumonia admissions. An approximately linear exposure-response curve for the relation of TV with pneumonia admission was noted. The relations were more evident in cities with larger average age (P = 0.038). As the first study in China to assess the impact of temperature change on pneumonia on a national scale, our results indicated that acute TV exposure was related to higher admissions for pneumonia. Our findings should provide new insight into the health impacts associated with climate change.}, journal={Science of the Total Environment}, author={Tian, Y. and Wu, J. and Liu, H. and Wu, Y. and Si, Y. and Wang, X. and Wang, M. and Wu, Y. and Wang, L. and Li, D. and et al.}, year={2023} }
 @inproceedings{si_lu_2023, title={Estimating association effects of Copy Number Variants using penalized regression with Lasso and weighted fusion penalties}, booktitle={Annual Meeting of The American Society of Human Genetics}, author={Si, Yaqin and Lu, Wenbin}, year={2023}, month={Nov} }
 @misc{wang_dombroski_cheng_tucci_si_farrell_tzeng_leung_malamon_wang_et al._2023, title={Structural Variation Detection and Association Analysis of Whole-Genome-Sequence Data from 16,905 Alzheimer’s Diseases Sequencing Project Subjects}, url={http://dx.doi.org/10.1101/2023.09.13.23295505}, DOI={10.1101/2023.09.13.23295505}, abstractNote={Abstract}, publisher={Cold Spring Harbor Laboratory}, author={Wang, Hui and Dombroski, Beth A and Cheng, Po-Liang and Tucci, Albert and Si, Ya-Qin and Farrell, John J and Tzeng, Jung-Ying and Leung, Yuk Yee and Malamon, John S and Wang, Li-San and et al.}, year={2023}, month={Sep} }
 @article{lee_wang_dombroski_cheng_tucci_si_farrell_tzeng_leung_malamon_et al._2023, title={Structural Variation Detection and Association Analysis of Whole-Genome-Sequence Data from 16,905 Alzheimer’s Diseases Sequencing Project Subjects}, url={http://www.scopus.com/inward/record.url?eid=2-s2.0-85176817168&partnerID=MN8TOARS}, DOI={10.21203/rs.3.rs-3353179/v1}, abstractNote={Abstract}, journal={Research Square}, author={Lee, W.-P. and Wang, H. and Dombroski, B. and Cheng, P.-L. and Tucci, A. and Si, Y.-Q. and Farrell, J. and Tzeng, J.-Y. and Leung, Y.Y. and Malamon, J. and et al.}, year={2023} }
 @article{ma_wang_li_si_wang_chen_wei_lin_deng_guo_et al._2022, title={Short-term exposure to ambient air pollution and risk of daily hospital admissions for anxiety in China: A multicity study}, volume={424}, url={http://www.scopus.com/inward/record.url?eid=2-s2.0-85117809867&partnerID=MN8TOARS}, DOI={10.1016/j.jhazmat.2021.127535}, abstractNote={The potential impact of short-term exposure to ambient air pollution on risk of anxiety remains uncertain. We performed a detailed evaluation based on data from national insurance databases in China. Daily hospital admissions for anxiety disorders were identified in 2013-2017 from the national insurance databases covering up to 261 million urban residents in 56 cities in China. A two-stage time-series study was conducted to evaluate the associations between short-term exposure to major ambient air pollutants, including fine particles, inhalable particles, nitrogen dioxide (NO2), sulfur dioxide (SO2), ozone, and carbon monoxide, and risk of daily hospital admissions for anxiety. Significant associations between short-term exposures to ambient NO2 and SO2 and risk of daily hospital admissions for anxiety were found in the overall analysis. Per 10 μg/m3 increases in NO2 at lag0 and SO2 at lag6 were associated with significant increases of 1.37% (95% CI: 0.14%, 2.62%) and 1.53% (95% CI: 0.59%, 2.48%) in anxiety admissions, respectively. Stronger associations were found in the southern region and patients <65 years for SO2. Short-term exposure to ambient air pollution is associated with increased risk of anxiety admissions, which may provide important implications for promotion of mental health in the public.}, journal={Journal of Hazardous Materials}, author={Ma, Y. and Wang, W. and Li, Z. and Si, Y. and Wang, J. and Chen, L. and Wei, C. and Lin, H. and Deng, F. and Guo, X. and et al.}, year={2022} }
 @article{liu_chen_wang_liu_si_liang_shen_lin_tang_gao_2021, title={Effectiveness of different screening strategies for cardiovascular diseases prevention in a community-based Chinese population: A decision-analytic Markov model}, volume={53}, url={http://www.scopus.com/inward/record.url?eid=2-s2.0-85108671615&partnerID=MN8TOARS}, number={3}, journal={Beijing da xue xue bao. Yi xue ban = Journal of Peking University. Health sciences}, author={Liu, Q.P. and Chen, X.J. and Wang, J.M. and Liu, X.F. and Si, Y.Q. and Liang, J.Y. and Shen, P. and Lin, H.B. and Tang, X. and Gao, P.}, year={2021}, pages={460–466} }
 @article{li_chen_xu_huang_xie_si_wang_chen_wei_li_et al._2021, title={Impacts of Ambient Carbon Monoxide on Hospital Admissions and Hospitalization Expenditures for Three Cardiorespiratory Diseases in 74 Cities of China}, volume={2021}, ISSN={1078-0475}, url={http://dx.doi.org/10.1289/isee.2021.P-348}, DOI={10.1289/isee.2021.P-348}, abstractNote={BACKGROUND AND AIM: Evidence about health burden and economic loss of cardiorespiratory diseases (CRDs) caused by ambient carbon monoxide (CO) is sparse. We aimed to assess health burden as well as economic loss caused by coronary heart disease (CHD), stroke and lower respiratory infections (LRI) attributed to ambient CO in multiple cities in China. METHODS: Hospital admission and expenditures data were obtained from urban employee-based basic medical insurance scheme (UEBMI) of the national health insurance system in China. We performed a three-stage time-series analysis approach based on Generalized Linear Model controlling for potential confounding factors to examine the association between ambient CO and hospitalization data of CHD, stroke and LRI in 74 cities of China from January 1, 2015 to December 31, 2017. We conducted subgroup analyses by geographical region, gender and age (15-64 and ≥65), and tested the robustness of the results in two-pollutant models and sensitive analyses. RESULTS:We found that the average daily concentration of ambient CO across 74 cities from 2015 to 2017 was 1.10 mg/m³ (SD: 0.62). For a 1 mg/m³ increase in CO concentrations, the largest excess risks (ERs) were 3.82% (95% CI: 1.27% to 6.44%) at lag04 for CHD, 3.14% (95% CI: 1.90% to 4.38%) at lag0 for stroke and 2.71% (95% CI: 1.21% to 4.23%) at lag01 for LRI. Moreover, we observed that 4.50%, 3.33% and 2.97% of CHD, stroke and LRI related hospital admissions during 2015 to 2017 could be attributed to ambient CO in included cities, and the annualized attributable numbers of hospitalization expenditures were enormous, with 490 million CNY (US$ 73 M), 371 million CNY (US$ 55 M) and 217 million CNY (US$ 32 M) for CHD, stroke and LRI, respectively. CONCLUSIONS:Our study provides robust evidence for substantial excess hospitalization burden of CHD, stroke and LRI attributable to ambient CO based on multi-city analyses. KEYWORDS: Air pollution, Cardiovascular diseases, Environmental epidemiology, Traffic-related, Respiratory outcomes}, number={1}, journal={ISEE Conference Abstracts}, publisher={Environmental Health Perspectives}, author={Li, Zichuan and Chen, Juan and Xu, Zhouyang and Huang, Jing and Xie, Yang and Si, Yaqin and Wang, Jinxi and Chen, Libo and Wei, Chen and Li, Guoxing and et al.}, year={2021}, month={Aug} }
 @article{xie_li_zhong_feng_lu_xu_guo_si_wang_chen_et al._2021, title={Short-Term Ambient Particulate Air Pollution and Hospitalization Expenditures of Cause-Specific Cardiorespiratory Diseases in China: A Multicity Analysis}, volume={15}, url={http://www.scopus.com/inward/record.url?eid=2-s2.0-85111544531&partnerID=MN8TOARS}, DOI={10.1016/j.lanwpc.2021.100232}, abstractNote={Ambient air pollution is leading risk factor for health burden in China. Few studies in China have investigated the economic loss related to short-term exposure to ambient PM2.5, which could trigger acute onset of cardiorespiratory diseases within a few days.Daily ambient air pollutants data are obtained for each city from the National Air Quality Monitoring System and daily hospitalization data are obtained from the urban employee-based basic medical insurance scheme database in 74 Chinese cities with an average coverage of 88.5 million urban employees during 2016-2017. A three-stage time-series analytic approach is used in this study to investigate the impact of short-term exposure to ambient fine particulate (PM2.5) air pollution on hospital admissions, expenses and hospital stays of three cause-specific cardiorespiratory diseases, including lower respiratory infections (LRI), coronary heart disease (CHD) and stroke in the included cities.Based on the time-series analysis using daily hospitalization data, 28,560 LRI cases, 54,600 CHD cases, and 23,989 stroke cases are attributable to ambient PM2.5 in the 74 cities during the study period, and the related attributable expenses are 220 million CNY (US$ 32.9 million) for LRI, 458 million CNY (US$ 68.5 million) for CHD, and 410 million CNY (US$ 65.8 million) for stroke, respectively. These attributable numbers account for 1.45% to 2.05% of total hospital admissions and 1.10% to 1.51% of total expenses for the three diseases during 2016-2017, respectively. The attributable numbers for the three cause-specific cardiorespiratory diseases would increase to 362,007 hospital admission cases and 3.68 billion CNY expenses ($US550 million) in the entire urban employee population (299 million) in China during 2016-2017, and the related direct economic loss of absence from work would be 798 million CNY (US$ 119.3 million).Our results support that short-term exposure to ambient PM2.5 pollution could lead to significant health and economic impacts in China. Reducing levels of ambient PM2.5 can avoid substantial health damage and expenditures, and generate appreciable economic benefits from decreasing absence from work.Natural Science Foundation of China (82073509, 71903010, 71903011), and the National Key Research and Development Program of China (2017YFC0211600, 2017YFC0211601).}, journal={The Lancet Regional Health - Western Pacific}, author={Xie, Y. and Li, Z. and Zhong, H. and Feng, X.L. and Lu, P. and Xu, Z. and Guo, T. and Si, Y. and Wang, J. and Chen, L. and et al.}, year={2021} }
 @article{gu_guo_si_wang_zhang_deng_chen_wei_lin_guo_et al._2020, title={Association between ambient air pollution and daily hospital admissions for depression in 75 Chinese cities}, volume={177}, url={http://www.scopus.com/inward/record.url?eid=2-s2.0-85088906940&partnerID=MN8TOARS}, DOI={10.1176/appi.ajp.2020.19070748}, abstractNote={Although the association between ambient air pollution and risk of depression has been investigated in several epidemiological studies, the evidence is still lacking for hospital admissions for depression, which indicates a more severe form of depressive episode. The authors used national morbidity data to investigate the association between short-term exposure to ambient air pollution and daily hospital admissions for depression.Using data from the Chinese national medical insurance databases for urban populations, the authors conducted a two-stage time-series analysis to investigate the associations of short-term exposure to major ambient air pollutants-fine particles (PM2.5), inhalable particles (PM10), nitrogen dioxide (NO2), sulfur dioxide (SO2), ozone (O3), and carbon monoxide (CO)-and daily hospital admission risk for depression in 75 Chinese cities during the period 2013-2017.The authors identified 111,620 hospital admissions for depression in 75 cities. In the single-pollutant models, the effect estimates of all included air pollutants, with the exception of O3, were significant at several lags within 7 days. For example, 10 μg/m3 increases in PM2.5, PM10, and NO2 at lag01 were associated with increases of 0.52% (95% CI=0.03, 1.01), 0.41% (95% CI=0.05, 0.78), and 1.78% (95% CI=0.73, 2.83), respectively, in daily hospital admissions for depression. Subgroup, sensitivity, and two-pollutant model analyses highlighted the robustness of the effect estimates for NO2.The study results suggest that short-term exposure to ambient air pollution is associated with an increased risk of daily hospital admission for depression in the general urban population in China, which may have important implications for improving mental wellness among the public.}, number={8}, journal={American Journal of Psychiatry}, author={Gu, X. and Guo, T. and Si, Y. and Wang, J. and Zhang, W. and Deng, F. and Chen, L. and Wei, C. and Lin, S. and Guo, X. and et al.}, year={2020}, pages={735–743} }
 @article{tian_wu_liu_si_wu_wang_wang_wu_chen_wei_et al._2020, title={The impact of ambient ozone pollution on pneumonia: A nationwide time-series analysis}, volume={136}, url={http://www.scopus.com/inward/record.url?eid=2-s2.0-85078187169&partnerID=MN8TOARS}, DOI={10.1016/j.envint.2020.105498}, abstractNote={Few large multicity studies have assessed acute effect of tropospheric ozone pollution on pneumonia risk. We aimed to examine the relation between day-to-day changes in ozone concentrations and hospital admissions for pneumonia in China. We conducted a national time-series study in 184 major Chinese cities from 2014 to 2017. City-specific relation between ozone concentrations and pneumonia admissions was evaluated using an over-dispersed generalized additive model. Random-effects meta-analysis was conducted to pool the city-specific estimates. Two-pollutant models were fitted to test the robustness of the relations. We also investigated potential effect modifiers. Overall, we observed increased admissions for pneumonia associated with ozone exposure. The national-average estimates per 10-μg/m3 increase in ozone were 0.14% (95% CI: 0.03%–0.25%) at lag 0 day in the whole year, 0.30% (95% CI: 0.17%–0.43%) at lag 0 day in the warm season, and 0.20% (95% CI: 0.05%–0.34%) at lag 1 day in the cool season. Two-pollutant models indicated that the ozone effects were not confounded by PM2.5, SO2, NO2 or CO. The association between ozone and pneumonia was stronger in the elderly. Ozone levels and gross domestic product per capita reduced the effects of ozone, and smoking enhanced the effects of ozone. In conclusion, we estimated an increase in daily pneumonia admissions associated with ozone exposure in China. As the first national study in China to report acute effect of ozone on pneumonia hospitalizations, our findings are incredibly meaningful in terms of both ozone pollution related policy development and pneumonia prevention.}, journal={Environment International}, author={Tian, Y. and Wu, Y. and Liu, H. and Si, Y. and Wu, Y. and Wang, X. and Wang, M. and Wu, J. and Chen, L. and Wei, C. and et al.}, year={2020} }
 @article{tian_liu_wu_si_li_wu_wang_wang_chen_wei_et al._2019, title={Ambient particulate matter pollution and adult hospital admissions for pneumonia in urban China: A national time series analysis for 2014 through 2017}, volume={16}, url={https://doi.org/10.1371/journal.pmed.1003010}, DOI={10.1371/journal.pmed.1003010}, abstractNote={The effects of ambient particulate matter (PM) pollution on pneumonia in adults are inconclusive, and few scientific data on a national scale have been generated in low- or middle-income countries, despite their much higher PM concentrations. We aimed to examine the association between PM levels and hospital admissions for pneumonia in Chinese adults.A nationwide time series study was conducted in China between 2014 and 2017. Information on daily hospital admissions for pneumonia for 2014-2017 was collected from the database of Urban Employee Basic Medical Insurance (UEBMI), which covers 282.93 million adults. Associations of PM concentrations and hospital admissions for pneumonia were estimated for each city using a quasi-Poisson regression model controlling for time trend, temperature, relative humidity, day of the week, and public holiday and then pooled by random-effects meta-analysis. Meta-regression models were used to investigate potential effect modifiers, including cities' annual-average air pollutants concentrations, temperature, relative humidity, gross domestic product (GDP) per capita, and coverage rates by the UEBMI. More than 4.2 million pneumonia admissions were identified in 184 Chinese cities during the study period. Short-term elevations in PM concentrations were associated with increased pneumonia admissions. At the national level, a 10-μg/m3 increase in 3-day moving average (lag 0-2) concentrations of PM2.5 (PM ≤2.5 μm in aerodynamic diameter) and PM10 (PM ≤10 μm in aerodynamic diameter) was associated with 0.31% (95% confidence interval [CI] 0.15%-0.46%, P < 0.001) and 0.19% (0.11%-0.30%, P < 0.001) increases in hospital admissions for pneumonia, respectively. The effects of PM10 were stronger in cities with higher temperatures (percentage increase, 0.031%; 95% CI 0.003%-0.058%; P = 0.026) and relative humidity (percentage increase, 0.011%; 95% CI 0%-0.022%; P = 0.045), as well as in the elderly (percentage increase, 0.10% [95% CI 0.02%-0.19%] for people aged 18-64 years versus 0.32% [95% CI 0.22%-0.39%] for people aged ≥75 years; P < 0.001). The main limitation of the present study was the unavailability of data on individual exposure to PM pollution.Our findings suggest that there are significant short-term associations between ambient PM levels and increased hospital admissions for pneumonia in Chinese adults. These findings support the rationale that further limiting PM concentrations in China may be an effective strategy to reduce pneumonia-related hospital admissions.}, number={12}, journal={PLOS Medicine}, author={Tian, Yaohua and Liu, Hui and Wu, Yiqun and Si, Yaqin and Li, Man and Wu, Yao and Wang, Xiaowen and Wang, Mengying and Chen, Libo and Wei, Chen and et al.}, editor={Sheikh, AzizEditor}, year={2019}, month={Dec} }
 @article{tian_liu_wu_si_song_cao_li_wu_wang_chen_et al._2019, title={Association between ambient fine particulate pollution and hospital admissions for cause specific cardiovascular disease: time series study in 184 major Chinese cities}, volume={367}, ISSN={1756-1833}, url={http://dx.doi.org/10.1136/bmj.l6572}, DOI={10.1136/bmj.l6572}, abstractNote={Abstract}, journal={BMJ}, publisher={BMJ}, author={Tian, Yaohua and Liu, Hui and Wu, Yiqun and Si, Yaqin and Song, Jing and Cao, Yaying and Li, Man and Wu, Yao and Wang, Xiaowen and Chen, Libo and et al.}, year={2019}, month={Dec}, pages={l6572} }
 @article{tian_liu_si_cao_song_li_wu_wang_xiang_juan_et al._2019, title={Association between temperature variability and daily hospital admissions for cause-specific cardiovascular disease in urban China: A national time-series study}, volume={16}, ISSN={1549-1676}, url={http://dx.doi.org/10.1371/journal.pmed.1002738}, DOI={10.1371/journal.pmed.1002738}, abstractNote={Epidemiological studies have provided compelling evidence of associations between ambient temperature and cardiovascular disease. However, evidence of effects of daily temperature variability on cardiovascular disease is scarce and mixed. We aimed to examine short-term associations between temperature variability and hospital admissions for cause-specific cardiovascular disease in urban China.We conducted a national time-series analysis in 184 cities in China between 2014 and 2017. Data on daily hospital admissions for ischemic heart disease, heart failure, heart rhythm disturbances, and ischemic stroke were obtained from the database of Urban Employee Basic Medical Insurance (UEBMI) including 0.28 billion enrollees. Temperature data were acquired from the China Meteorological Data Sharing Service Center. Temperature variability was calculated from the standard deviation (SD) of daily minimum and maximum temperatures over exposure days. City-specific associations between temperature variability and cardiovascular disease were examined with overdispersed Poisson models controlling for calendar time, day of the week, public holiday, and daily mean temperature and relative humidity. Random-effects meta-analyses were performed to obtain national and regional average associations. We also plotted exposure-response relationship curve using a natural cubic spline of temperature variability. There were 8.0 million hospital admissions for cardiovascular disease during the study period. At the national-average level, a 1-°C increase in temperature variability at 0-1 days (TV0-1) was associated with a 0.44% (0.32%-0.55%), 0.31% (0.20%-0.43%), 0.48% (0.01%-0.96%), 0.34% (0.01%-0.67%), and 0.82% (0.59%-1.05%) increase in hospital admissions for cardiovascular disease, ischemic heart disease, heart failure, heart rhythm disturbances, and ischemic stroke, respectively. The estimates decreased but remained significant when controlling for ambient fine particulate matter (PM2.5), NO2, and SO2 pollution. The main limitation of the present study was the unavailability of data on individual exposure to temperature variability.Our findings suggested that short-term temperature variability exposure could increase the risk of cardiovascular disease, which may provide new insights into the health effects of climate change.}, number={1}, journal={PLOS Medicine}, publisher={Public Library of Science (PLoS)}, author={Tian, Yaohua and Liu, Hui and Si, Yaqin and Cao, Yaying and Song, Jing and Li, Man and Wu, Yao and Wang, Xiaowen and Xiang, Xiao and Juan, Juan and et al.}, editor={Basu, SanjayEditor}, year={2019}, month={Jan}, pages={e1002738} }
 @article{zhang_tang_shen_si_liu_xu_wu_zhang_lu_lin_et al._2019, title={Multimorbidity of cardiometabolic diseases: prevalence and risk for mortality from one million Chinese adults in a longitudinal cohort study.}, volume={9}, url={http://europepmc.org/articles/PMC6443196}, DOI={10.1136/bmjopen-2018-024476}, abstractNote={ObjectivesThe evolution of multimorbidity describes the continuum from a healthy status to the development of a single disease and further progression to multimorbidity with additional diseases. We investigated the evolution of cardiometabolic multimorbidity and risk for mortality in a Chinese population.}, number={3}, journal={BMJ open}, author={Zhang, D. and Tang, X. and Shen, P. and Si, Y. and Liu, X. and Xu, Z. and Wu, J. and Zhang, J. and Lu, P. and Lin, H. and et al.}, year={2019}, month={Mar} }
 @article{tang_zhang_he_wu_si_cao_huang_li_li_dou_et al._2019, title={Performance of atherosclerotic cardiovascular risk prediction models in a rural Northern Chinese population: Results from the Fangshan Cohort Study.}, volume={211}, url={https://doi.org/10.1016/j.ahj.2019.01.009}, DOI={10.1016/j.ahj.2019.01.009}, abstractNote={Performance of Pooled Cohort Equations (PCEs) for atherosclerotic cardiovascular disease (ASCVD) risks varied across populations. Whether the recently developed Prediction for ASCVD Risk in China (China-PAR) model could accurately predict cardiovascular risks in real practice remains unclear.A population-based cohort study in rural Beijing in the "stroke belt" in North China was used to externally validate PCE and China-PAR models for 5-year ASCVD risk prediction. Expected 5-year prediction risk using China-PAR model was compared with PCE (white). The models were assessed for calibration, discrimination, and reclassification.Among 11,169 adults aged 40 to 79 years over a median 6.44 years of follow-up, 1,921 participants developed a first ASCVD event during total 70,951 person-years. China-PAR model fairly predicted ASCVD risk in men but overestimated by 29.4% risk in women (calibration χ2 = 81.4, P < .001). Underestimations were shown by PCE as 76.2% in men and 88.2% in women with poor calibration (both P < .001). However, discrimination was similar in both models: C-statistics in men were 0.685 (95% CI 0.660-0.710) for China-PAR and 0.675 (95% CI 0.649-0.701) for PCE; C-statistics in women were 0.711 (95% CI 0.694-0.728) for China-PAR and 0.714 (95% CI 0.697-0.731) for PCE. Moreover, China-PAR did not substantially improve accuracy of reclassification compared with PCE.China-PAR outperformed PCE in 5-year ASCVD risk prediction in this rural Northern Chinese population at average population risk level, fairly predicted risk in men, but overestimated risk in women; however, China-PAR did not meaningfully improve the accuracy of discrimination and reclassification at individual risk level.}, journal={American heart journal}, author={Tang, X. and Zhang, D. and He, L. and Wu, N. and Si, Y. and Cao, Y. and Huang, S. and Li, N. and Li, J. and Dou, H. and et al.}, year={2019}, month={Feb}, pages={34–44} }
 @article{si_tang_zhang_he_cao_wang_li_liu_gao_hu_2018, title={Effectiveness of different screening strategies for primary prevention of cardiovascular diseases in a rural northern Chinese population}, volume={50}, number={3}, journal={Beijing da xue xue bao. Yi xue ban= Journal of Peking University. Health Sciences}, author={Si, Y.Q. and Tang, X. and Zhang, D.D. and He, L. and Cao, Y. and Wang, J.W. and Li, N. and Liu, J.J. and Gao, P. and Hu, Y.H.}, year={2018}, pages={443–449} }
 @article{lin_chen_shen_li_si_zhang_tang_gao_2018, title={Incidence and risk factors of chronic kidney disease in community-based patients with diabetes}, volume={50}, number={3}, journal={Beijing da xue xue bao. Yi xue ban = Journal of Peking University. Health Sciences}, author={Lin, H.B. and Chen, Y. and Shen, P. and Li, X.Y. and Si, Y.Q. and Zhang, D.D. and Tang, X. and Gao, P.}, year={2018}, pages={416–421} }
 @article{lin_tang_shen_zhang_wu_zhang_lu_si_gao_2018, title={Using big data to improve cardiovascular care and outcomes in China: a protocol for the CHinese Electronic health Records Research in Yinzhou (CHERRY) Study.}, volume={8}, url={http://europepmc.org/articles/PMC5829949}, DOI={10.1136/bmjopen-2017-019698}, abstractNote={IntroductionData based on electronic health records (EHRs) are rich with individual-level longitudinal measurement information and are becoming an increasingly common data source for clinical risk prediction worldwide. However, few EHR-based cohort studies are available in China. Harnessing EHRs for research requires a full understanding of data linkages, management, and data quality in large data sets, which presents unique analytical opportunities and challenges. The purpose of this study is to provide a framework to establish a uniquely integrated EHR database in China for scientific research.}, number={2}, journal={BMJ open}, author={Lin, H. and Tang, X. and Shen, P. and Zhang, D. and Wu, J. and Zhang, J. and Lu, P. and Si, Y. and Gao, P.}, year={2018}, month={Feb} }
 @article{lin_zhang_shen_xu_si_tang_gao_2017, title={Abstract P166: Multimorbidity and Risk of Mortality in China: Results From the Chinese Electronic Health Records Research in Yinzhou (CHERRY) Study}, volume={135}, ISSN={0009-7322 1524-4539}, url={http://dx.doi.org/10.1161/circ.135.suppl_1.p166}, DOI={10.1161/circ.135.suppl_1.p166}, abstractNote={Introduction: The prevalence of multimorbidity is increasing in developed countries, while corresponding research in Chinese population is limited. Methods: A population-based cohort in Yinzhou located in an eastern coastal area of China (961,008 adults ≥18 years in 2009; latest mortality follow-up: Nov 2015; 22,637 deaths; 6.53 million person-years at risk) was assembled by linking epidemiological surveys, electronic records for chronic disease management, health administrative and medical records databases. Multimorbidity was defined as the presence of two or more following disorders: hypertension, diabetes, cardiovascular disease or cancer. History of selected diseases was extracted from the electronic records for chronic disease management. Follow-up on fatal events is achieved through records linkage to the regional system of death surveillance. Results: Overall age- and sex-standardized prevalence of one, two or ≥3 disorders were 16.16% (16.09% - 16.23%), 4.11% (4.07% - 4.15%) and0.36% (0.35% - 0.38%) respectively, whereas 41.73%, 14.41% and 1.67% were observed in people aged 60 years and older. The all-cause mortality rate adjusted to the age of 60 was 4.77 per 1000 person-years. Comparing to people without any selected diseases, the age- and sexadjusted HRs for all-cause mortality were 1.17 (1.14, 1.21) in those with one disorder, 1.78 (1.72, 1.86) in those with two morbidities, and 2.97 (2.76, 3.19) in those with ≥3 morbidities. The HRs in those with multimorbidites were higher in younger people and were heterogeneous among different combinations of multimorbidites. Population-attributable fractions (PAF) for all-cause mortality due to one, two or ≥3 disorders were 2.63%, 3.04% and 0.67% respectively (1.28%, 7.69% and 2.34% in people aged 60 years and older). Conclusions: The CHERRY study can serve as a valuable big data resource for scientific research in China. Multimorbidity is becoming acommon condition in Chinese population, especially in older population, and is associated with high mortality. A complementary strategy is required for population health interventions.}, number={suppl_1}, journal={Circulation}, publisher={Ovid Technologies (Wolters Kluwer Health)}, author={Lin, Hongbo and Zhang, Dudan and Shen, Peng and Xu, Zhe and Si, Yaqin and Tang, Xun and Gao, Pei}, year={2017}, month={Mar} }