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15. Tackling NCD in LMIC: Achievements and Lessons Learned From the NHLBI–UnitedHealth Global Health Centers of Excellence Program

Author

Rubinstein, Adolfo, He, Jiang, Alam, Dewan S., Peters, David H., Wu, Yangfeng, Yan, Lijing L., Merson, Michael, Ramirez, Manuel, Caballero, Benjamin, Xavier, Denis, Yusuf, Salim, Prabhakaran, Dorairaj, Narayan, K.M. Venkat, Kimaiyo, Sylvester, Velazquez, Eric, Denman, Catalina A., Cornejo, Elsa, de Zapien, Jill, Rosales, Cecilia, Miranda, J. Jaime, Gilman, Robert H., Levitt, Naomi, Gaziano, Thomas A., Ghannem, Hassen, Laatikainen, Tiina, Rabadan-Diehl, Cristina, Engelgau, Michael M., Belis, Deshiree, Sampson, Uchechukwu, Smith, Richard, Dianis, Nancy L., Wolbach, Tracy L., Matta, Gabriela, Gutierrez, Laura, Elorriaga, Natalia, Poggio, Rosana, Irazola, Vilma, Bazzano, Lydia, Bhuiya, Abbas, Wazed, Abdul, Khan, Alfazal, Siddiquee, Ali T., Islam, Anwar, Khan, Jahangir A.M., Uddin, Jasim, Hasan, Khaled, Khanam, Masuma A., Yunus, Mohammad, Chowdhury, Muhammad A.H., Monalisa, Nazratun N., Alam, Nurul, Streatfield, Peter K., Ahmed, Shyfuddin, Parvin, Sonia, Ali, Taslim, Niessen, Louis W., Hossain, Mohammad D., Koehlmoos, Tracey L.P., Standing, Hilary, Lucas, Henry, Bleich, Sara N., Anderson, Gerard F., Trujillo, Antonio J., Mirelman, Andrew J., Hao, Jesse, Zhang, Jing, Tian, Maoyi, Huang, Polly, Luo, Rong, Fang, Weigang, Li, Xian, Feng, Xiangxian, Li, Zhifang, Deal, Kelly, Peterson, Eric, DeLong, Elizabeth, Zhou, Bo, Shi, Jingpu, Neal, Bruce, Jan, Stephen, Li, Nicole, McMahon, Stephen, Zhang, Jianxin, Sun, Jixin, Elliot, Paul, Zhao, Yi, Zhang, Yuhong, Yao, Chen, Sun, Ningling Huang, Han, Qide, Shen, Ruqun, Niu, Wenyi, Wang, Yanfang, Ke, Yang, Huang, Yining, Leeder, Stephen, Lopez, Alan, Zhang, Ruijuan, Yu, Yan, Roman, Ana V., Mendoza, Carlos, Roche, Dina, Mejicano, Gabriela, Cordova, Maria A., Kroker, Maria F., Fort, Meredith, Letona, Paola, Kanter, Rebecca, Garcia, Regina, Murillo, Sandra, Chacon, Violeta, Montero, Rafael, Lopez, Erika J., Peña, Liz, Castro, Maricruz, Dengo, Ana L., Ulate, Emilce, Alvarado, Nadia, Sibrian, Josefina, Alegria, Astarte, Gutierrez, Ana M., Fontes, Flavia, Sigamani, Alben, Kamath, Deepak, Xavier, Freeda, Deepthi, K.B., Anupama, M., Mathu, Nandini, George, Nisha, Rahul, Pranjali, Pais, Prem, Girish, Preeti, Thomas, Seena, Usha, T., Thomas, Tinku, Joshi, Rajnish, Chidambaram, N., Gupta, Rajeev, Chow, Clara, Pogue, Janice, O'Donnell, Martin, Devereaux, P.J., Misquith, Dominic, Agrawal, Twinkle, Fathima, Farah N., Reddy, Kolli Srinath, Shivashankar, Roopa, Ajay, Vamadevan S., Khan, Hassan M., Kadir, M. Masood, Masood, Muhammad Q., Fatmi, Zafar, Krishnan, Anand, Singh, Kavita, Tandon, Nikhil, Khadgawat, Rajesh, Menon, V. Usha, Sethi, Bipin Kumar, Unnikrishnan, A.G., Hutcheson, Mark L., Ali, Mohammed K., Cunningham, Solveig A., Patel, Shivani A., Gujral, Unjali, Desai, Ankush, Mohan, Deepa, Pradeepa, R. Guha, Mohan, V., Viswanathan, Vijay, Sahay, Rakesh, Shah, Seema, Bantwal, Ganapathi, Varthakavi, Premlata K., Nair, Manisha, Akwanalo, Constantine, Lagat, David, Barasa, Felix, Koech, Myra, Sugut, Wilson, Korir, Belinda, Mosol, Priscah, Ali, Shamim, Sherman, Charles B., Carter, Jane, Bloomfield, Gerald, Binanay, Cynthia, Vedanthan, Rajesh, Bernabé-Ortiz, A., León-Velarde, F., Smith, George D., Málaga, Germán, García, Héctor H., Casas, Juan P., Sacksteder, Katherine, Smeeth, Liam, Huicho, Luis, Rivera, María, Gamboa, Raúl, Ebrahim, Shah, Montori, Víctor M., Wise, Robert A., Checkley, William, Diette, Gregory B., Nojilana, Beatrice, Majikela-Dlangamandla, Buyelwa, Sylvester, Carmelita, Malan, Johanna, Murphy, Katherine, Steyn, Krisela, van Niekerk, Lindi, Mash, Robert, Puoane, Thandi, Kim, Grace, Pandya, Ankur, Abrahams-Gessel, Shafika, Rhode, Hilary, Pather, Michael, Andrade, Alvaro R., Garcia, Beatriz, Velasco, Carlos, Medina, David, Bravo, Delia, Munguia, Diana, Bateman, Eric, Castro, Francisco, Schneider, Helen, Ibarra, Ilse, Zulu, Jabulisiwe, Felix, Joel, Tribe, Karla, Bobrow, Kirsten, Fairall, Lara, Folb, Naomi, Murillo, Norma, Pacheco, Norma, Rodriguez, Paloma, Navarro, Paola, Flores, Reyna, Van Zyl Smit, Richard, Meddoza, Rosario, Surka, Sameer, Van Haght, Serena, Hernandez, Yanira, Tsolekile, Lungiswa, Jeridi, Gouider, Harrabi, Imed, Maatoug, Jihen, Boughammoura, Lamia, Chaieb, Larbi, Mrizek, Nejib, Gaha, Rafika, Limam, Khalifa, Amimi, Souad, Gaha, Karima, Gamra, Habib, Al'Absi, Mustafa, Vartiainen, Erkki, Moore, Cornelius, Spillan, Debi, Cooper, Kristiane, Mitchell, Megan, Kirby, Ruth, Gao, Yunling, Aluko, Emmanuel, Sampson, Uchechukwu K., Miranda, Jaime, and Bloomfield, Gerald S.

Published
2016
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28. Effect of Salt Substitution on Cardiovascular Events and Death

Author

Neal, Bruce, primary, Wu, Yangfeng, additional, Feng, Xiangxian, additional, Zhang, Ruijuan, additional, Zhang, Yuhong, additional, Shi, Jingpu, additional, Zhang, Jianxin, additional, Tian, Maoyi, additional, Huang, Liping, additional, Li, Zhifang, additional, Yu, Yan, additional, Zhao, Yi, additional, Zhou, Bo, additional, Sun, Jixin, additional, Liu, Yishu, additional, Yin, Xuejun, additional, Hao, Zhixin, additional, Yu, Jie, additional, Li, Ka-Chun, additional, Zhang, Xinyi, additional, Duan, Peifen, additional, Wang, Faxuan, additional, Ma, Bing, additional, Shi, Weiwei, additional, Di Tanna, Gian Luca, additional, Stepien, Sandrine, additional, Shan, Sana, additional, Pearson, Sallie-Anne, additional, Li, Nicole, additional, Yan, Lijing L., additional, Labarthe, Darwin, additional, and Elliott, Paul, additional

Published
2021
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29. Protocol for the economic evaluation of the China Salt Substitute and Stroke Study (SSaSS)

Author

Li, Ka-Chun, primary, Tian, Maoyi, additional, Neal, Bruce, additional, Huang, Liping, additional, Yu, Jie, additional, Liu, Yishu, additional, Yin, Xuejun, additional, Zhang, Xinyi, additional, Wu, Yangfeng, additional, Li, Nicole, additional, Elliott, Paul, additional, Yan, Lijing, additional, Labarthe, Darwin, additional, Hao, Zhixin, additional, Shi, Jingpu, additional, Feng, Xiangxian, additional, Zhang, Jianxin, additional, Zhang, Yuhong, additional, Zhang, Ruijuan, additional, Zhou, Bo, additional, Li, Zhifang, additional, Sun, Jixin, additional, Zhao, Yi, additional, Yu, Yan, additional, Si, Lei, additional, and Lung, Thomas, additional

Published
2021
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34. Additional file 2 of A cross country comparison for the burden of cardiovascular disease attributable to tobacco exposure in China, Japan, USA and world

Author

Xiaomei Wu, Zhu, Bo, Xu, Shuang, Yifei Bi, Liu, Yong, and Shi, Jingpu

Subjects
cardiovascular diseases
Abstract

Additional file 2: Figure S1. The ASMR of IHD attributable to smoking in China, Japan, USA and the world from 1990 to 2017. Figure S2. The ASMR of stroke attributable to smoking in China, Japan, USA and the world from 1990 to 2017. Figure S3. The ASMR of CVD attributable to secondhand smoke in China, Japan, USA and the world from 1990 to 2017. Figure S4. The ASMR of IHD attributable to secondhand smoke in China, Japan, USA and the world from 1990 to 2017. Figure S5. The ASMR of stroke attributable to secondhand smoke in China, Japan, USA and the world from 1990 to 2017. Figure S6. The APC results of IHD attributable to smoking in China, Japan, USA and the world from 1990 to 2017. Figure S7. The APC results of stroke attributable to smoking in China, Japan, USA and the world from 1990 to 2017. Figure S8. The local drift with net drift values of the mortality rate of CVD, IHD and stroke attributable to smoking. Figure S9. The APC results of CVD attributable to secondhand smoke in China, Japan, USA and the world from 1990 to 2017. Figure S10. The APC results of IHD attributable to secondhand smoke in China, Japan, USA and the world from 1990 to 2017. Figure S11. The APC results of stroke attributable to secondhand smoke in China, Japan, USA and the world from 1990 to 2017. Figure S12. The local drift with net drift values of the mortality rate of CVD, IHD and stroke attributable to secondhand smoke.

Published
2020
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35. Additional file 1 of A cross country comparison for the burden of cardiovascular disease attributable to tobacco exposure in China, Japan, USA and world

Author

Xiaomei Wu, Zhu, Bo, Xu, Shuang, Yifei Bi, Liu, Yong, and Shi, Jingpu

Subjects
cardiovascular diseases
Abstract

Additional file 1: Table S1. The temporal trend in mortality rate of CVD, IHD and stroke attributable to secondhand smoke in China, Japan, USA and the world from 1990 to 2017. Table S2. The net drift value of the mortality rate of CVD, IHD and stroke attributable to secondhand smoke. Table S3. The percent of IHD and stroke in CVD attributable to smoking in China, Japan, USA and the world from 1990 to 2017. Table S4. The percent of IHD and stroke in CVD attributable to secondhand smoke in China, Japan, USA and the world from 1990 to 2017.

Published
2020
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36. Interim effects of salt substitution on urinary electrolytes and blood pressure in the China Salt Substitute and Stroke Study (SSaSS).

Author

Huang, Liping, Tian, Maoyi, Yu, Jie, Li, Qiang, Liu, Yishu, Yin, Xuejun, Wu, Jason Hy, Marklund, Matti, Wu, Yangfeng, Li, Nicole, Elliott, Paul, Yan, Lijing L, Labarthe, Darwin R, Hao, Zhixin, Shi, Jingpu, Feng, Xiangxian, Zhang, Jianxin, Zhang, Yuhong, Zhang, Ruijuan, Zhou, Bo, Li, Zhifang, Sun, Jixin, Zhao, Yi, Yu, Yan, Neal, Bruce, Huang, Liping, Tian, Maoyi, Yu, Jie, Li, Qiang, Liu, Yishu, Yin, Xuejun, Wu, Jason Hy, Marklund, Matti, Wu, Yangfeng, Li, Nicole, Elliott, Paul, Yan, Lijing L, Labarthe, Darwin R, Hao, Zhixin, Shi, Jingpu, Feng, Xiangxian, Zhang, Jianxin, Zhang, Yuhong, Zhang, Ruijuan, Zhou, Bo, Li, Zhifang, Sun, Jixin, Zhao, Yi, Yu, Yan, and Neal, Bruce

Abstract

The Salt Substitute and Stroke Study is an ongoing 5-year large-scale cluster randomized trial investigating the effects of potassium-enriched salt substitute compared to usual salt on the risk of stroke. The study involves 600 villages and 20,996 individuals in rural China. Intermediate risk markers were measured in a random subsample of villages every 12 months over 3 years to track progress against key assumptions underlying study design. Measures of 24-hour urinary sodium, 24-hour urinary potassium, blood pressure and participants' use of salt substitute were recorded, with differences between intervention and control groups estimated using generalized linear mixed models. The primary outcome of annual event rate in the two groups combined was determined by dividing confirmed fatal and non-fatal strokes by total follow-up time in the first 2 years. The mean differences (95% CI) were -0.32 g (-0.68 to 0.05) for 24-hour urinary sodium, +0.77 g (+0.60 to +0.93) for 24-hour urinary potassium, -2.65 mmHg (-4.32 to -0.97) for systolic blood pressure and +0.30 mmHg (-0.72 to +1.32) for diastolic blood pressure. Use of salt substitute was reported by 97.5% in the intervention group versus 4.2% in the control group (P<.0001). The overall estimated annual event rate for fatal and non-fatal stroke was 3.2%. The systolic blood pressure difference and the annual stroke rate were both in line with the statistical assumptions underlying study design. The trial should be well placed to address the primary hypothesis at completion of follow-up.

Published
2020
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37. Feasibility and validity of using death surveillance data and SmartVA for fact and cause of death in clinical trials in rural China: a substudy of the China salt substitute and stroke study (SSaSS)

Author

Huang, Liping, primary, Yu, Jie, additional, Neal, Bruce, additional, Liu, Yishu, additional, Yin, Xuejun, additional, Hao, Zhixin, additional, Wu, Yangfeng, additional, Yan, Lijing L, additional, Wu, Jason HY, additional, Joshi, Rohina, additional, Shi, Jingpu, additional, Feng, Xiangxian, additional, Zhang, Jianxin, additional, Zhang, Yuhong, additional, Zhang, Ruijuan, additional, Zhou, Bo, additional, Li, Zhifang, additional, Sun, Jixin, additional, Zhao, Yi, additional, Yu, Yan, additional, Pearson, Sallie-Anne, additional, Chen, Zhengming, additional, and Tian, Maoyi, additional

Published
2020
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40. Interim effects of salt substitution on urinary electrolytes and blood pressure in the China Salt Substitute and Stroke Study (SSaSS)

Author

Huang, Liping, primary, Tian, Maoyi, additional, Yu, Jie, additional, Li, Qiang, additional, Liu, Yishu, additional, Yin, Xuejun, additional, Wu, Jason HY, additional, Marklund, Matti, additional, Wu, Yangfeng, additional, Li, Nicole, additional, Elliott, Paul, additional, Yan, Lijing L., additional, Labarthe, Darwin R., additional, Hao, Zhixin, additional, Shi, Jingpu, additional, Feng, Xiangxian, additional, Zhang, Jianxin, additional, Zhang, Yuhong, additional, Zhang, Ruijuan, additional, Zhou, Bo, additional, Li, Zhifang, additional, Sun, Jixin, additional, Zhao, Yi, additional, Yu, Yan, additional, and Neal, Bruce, additional

Published
2020
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43. A13076 Interim effects of salt substitution on urinary electrolytes and blood pressure in the China Salt Substitute and Stroke Study (SSaSS)

Author

Huang, Liping, primary, Tian, Maoyi, additional, Li, Nicole, additional, Elliot, Paul, additional, Yan, Lijing, additional, Labarthe, Darwin, additional, Yin, Xuejun, additional, Wu, Yangfeng, additional, Hao, Zhixin, additional, Liu, Yishu, additional, Shi, Jingpu, additional, Feng, Xiangxian, additional, Zhang, Jianxin, additional, Zhang, Yuhong, additional, Zhang, Ruijuan, additional, and Neal, Bruce, additional

Published
2018
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44. Feasibility and validity of using death surveillance data and SmartVA for fact and cause of death in clinical trials in rural China: a substudy of the China salt substitute and stroke study (SSaSS)

Author

Huang, Liping, Yu, Jie, Neal, Bruce, Liu, Yishu, Yin, Xuejun, Hao, Zhixin, Wu, Yangfeng, Yan, Lijing L, Wu, Jason HY, Joshi, Rohina, Shi, Jingpu, Feng, Xiangxian, Zhang, Jianxin, Zhang, Yuhong, Zhang, Ruijuan, Zhou, Bo, Li, Zhifang, Sun, Jixin, Zhao, Yi, Yu, Yan, Pearson, Sallie-Anne, Chen, Zhengming, and Tian, Maoyi

Abstract

BackgroundIn rural China, mortality surveillance data may be an alternative to primary data collection in clinical trials; SmartVA (verbal autopsy) is also a potential alternative for endpoint adjudication. The feasibility and validity of both need to be assessed.MethodsWe used mortality data from the first 24 months of the China Salt Substitute and Stroke Study (SSaSS) trial and assessed the agreement between (1) mortality surveillance data and face-to-face visits for fact of death; (2) mortality surveillance data and SSaSS adjudication for causes of death; (3) SmartVA and SSaSS adjudication for causes of death; (4) cause-specific mortality fraction of different methods. Face-to-face visits and SSaSS adjudication were taken as reference methods. The agreement was measured by sensitivity, specificity and positive predictive value (PPV) across different 10th Revision of International Statistical Classification of Diseases chapters.ResultsOne thousand three hundred and sixty-five deaths were included. Mortality surveillance data had 82% sensitivity for fact of death and 81% sensitivity for causes of death, with substantial variances across different disease types and reasonable quality for circulatory death (91% sensitivity and 94% PPV). The sensitivity of SmartVA for causes of death was 61%, with reasonable quality for deaths of external causes of morbidity (90% sensitivity). The leading causes of death from different sources were the same with some variances in the fractions.ConclusionUsing mortality surveillance data for fact of death in clinical trials need to account for under-reporting. A face-to-face visit to all participants at the completion of trials may be warranted. Neither mortality surveillance data nor SmartVA provided valid data source for endpoint events.

Published
2021
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45. Prognostic role of copeptin with all-cause mortality after heart failure: a systematic review and meta-analysis

Author

Zhang,Peng, Wu,Xiaomei, Li,Guangxiao, Sun,Hao, Shi,Jingpu, Zhang,Peng, Wu,Xiaomei, Li,Guangxiao, Sun,Hao, and Shi,Jingpu

Abstract

Peng Zhang, Xiaomei Wu, Guangxiao Li, Hao Sun, Jingpu Shi Department of Clinical Epidemiology, Center of Evidence-Based Medicine, Institute of Cardiovascular Disease, The First Hospital of China Medical University, Shenyang, People’s Republic of China Background: As the C-terminal section of vasopressin precursor, copeptin has been recently suggested as a new prognostic biomarker after heart failure (HF). Thus, the aim of this study was to evaluate the prognostic value of plasma copeptin level with all-cause mortality in patients with HF.Methods: Comprehensive strategies were used to search relevant studies from electronic databases. Pooled hazard ratios (HRs) and standardized mean differences (SMDs) together with their 95% confidence intervals (CIs) were calculated. Subgroup analysis and sensitivity analysis were performed to find the potential sources of heterogeneity.Results: A total of 5,989 participants from 17 prospective studies were included in this meta-analysis. A significant association was observed between circulating copeptin levels and risk of all-cause mortality in patients with HF (categorical copeptin: HR =1.69, 95% CI =1.42–2.01; per unit copeptin: HR =1.03, 95% CI =1.00–1.07; log unit copeptin: HR =3.26, 95% CI =0.95–11.25). Pooled SMD showed that copeptin levels were significantly higher in patients with HF who died during the follow-up period than in survivors (SMD =1.19, 95% CI =0.81–1.57). Subgroup analyses also confirmed this significant association, while sensitivity analyses indicated that the overall results were stable.Conclusion: This study demonstrated that circulating copeptin seemed to be a novel biomarker to provide better prediction of all-cause mortality in patients with HF. Keywords: heart failure, copeptin, all-cause mortality, meta-analysis

Published
2017

48. Rationale, design, and baseline characteristics of the Salt Substitute and Stroke Study (SSaSS)—A large-scale cluster randomized controlled trial

Author

Neal, Bruce, primary, Tian, Maoyi, additional, Li, Nicole, additional, Elliott, Paul, additional, Yan, Lijing L., additional, Labarthe, Darwin R., additional, Huang, Liping, additional, Yin, Xuejun, additional, Hao, Zhixin, additional, Stepien, Sandrine, additional, Shi, Jingpu, additional, Feng, Xiangxian, additional, Zhang, Jianxin, additional, Zhang, Yuhong, additional, Zhang, Ruijuan, additional, and Wu, Yangfeng, additional

Published
2017
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