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2. Renal function is associated with 1-month and 1-year mortality in patients with ischemic stroke

Author

Liu, Chung-Hsiang, Tsai, Chon-Haw, Huang, Wei-Shih, Lu, Chung-Ta, Tsai, Tzung-Chang, Tseng, Chun-Hung, Lin, Kang-Hsu, Shyu, Woei-Cherng, Yang, Yu-Wan, Liu, Yen-Liang, Cho, Der-Yang, Chen, Chun-Chung, Jeng, Jiann-Shing, Tang, Sung-Chun, Tsai, Li-Kai, Yeh, Shin-Joe, Chen, Chih-Hao, Tsai, Hsin-Hsi, Li, Jie-Yuan, Chen, Han-Jung, Lu, Kan, Hsu, Shih-Pin, Kuo, Hung-Chang, Tsou, Jung-Chi, Wang, Yan-Tang, Tai, Yi-Cheng, Hsieh, Meng-Tsang, Liliang, Po-Chao, Liang, Cheng-Loong, Wang, Hao-Kuang, Tsai, Yu-Tun, Wang, Kuo-Wei, Chen, Jui-Sheng, Chen, Po-Yuan, Wang, Yi-Ching, Chen, Chih-Hung, Sung, Pi-Shan, Hsieh, Han-Chieh, Su, Hui-Chen, Chiu, Hou-Chang, Lien, Li-Ming, Chen, Wei-Hung, Bai, Chyi-Huey, Huang, Tzu-Hsuan, Lau, Chi-Ieong, Wu, Ya-Ying, Yeh, Hsu-Ling, Chang, Anna, Lin, Ching-Huang, Yen, Cheng-Chang, Lin, Ruey-Tay, Chen, Chun-Hung, Khor, Gim-Thean, Chao, A-Ching, Lin, Hsiu-Fen, Huang, Poyin, Lin, Huey-Juan, Ke, Der-Shin, Chang, Chia-Yu, Yeh, Poh-Shiow, Lin, Kao-Chang, Cheng, Tain-Junn, Chou, Chih-Ho, Yang, Chun-Ming, Shen, Hsiu-Chu, Chen, An-Chih, Tsai, Shih-Jei, Lu, Tsong-Ming, Kung, Sheng-Ling, Lee, Mei-Ju, Chou, Hsi-Hsien, Chang, Wei-Lun, Chiu, Pai-Yi, Hsu, Min-Hsien, Chan, Po-Chi, Pan, Chau-Hsiung, Shoung, Hai-Ming, Lo, Yi-Chen, Wang, Fu-Hwa, Chang, Wei-Chieh, Lai, Ta-Chang, Yin, Jiu-Haw, Wang, Chung-Jen, Wang, Kai-Chen, Chen, Li-Mei, Denq, Jong-Chyou, Sun, Yu, Lu, Chien-Jung, Lin, Cheng-Huai, Huang, Chieh-Cheng, Liu, Chang-Hsiu, Chan, Hoi-Fong, Lee, Siu-Pak, Sun, Ming-Hui, Ke, Li-Ying, Chen, Po-Lin, Lee, Yu-Shan, Sung, Sheng-Feng, Ong, Cheung-Ter, Wu, Chi-Shun, Hsu, Yung-Chu, Su, Yu-Hsiang, Hung, Ling-Chien, Lee, Jiunn-Tay, Lin, Jiann-Chyun, Hsu, Yaw-Don, Peng, Giia-Sheun, Hsu, Chang-Hung, Lin, Chun-Chieh, Yen, Che-Hung, Cheng, Chun-An, Sung, Yueh-Feng, Chen, Yuan-Liang, Lien, Ming-Tung, Chou, Chung-Hsing, Liu, Chia-Chen, Yang, Fu-Chi, Wu, Yi-Chung, Tso, An-Chen, Lai, Yu- Hua, Chiang, Chun-I., Tsai, Chia-Kuang, Liu, Meng-Ta, Lin, Ying-Che, Hsu, Yu-Chuan, Chiang, Tsuey-Ru, Huang, Pai-Hao, Liao, Pin-Wen, Lee, Mei-Ching, Chen, Jen-Tse, Lie, Sian-King, Sun, Mu-Chien, Hsiao, Pi-Ju, Chen, Wei-Liang, Chen, Ta-Cheng, Chang, Chen-Shu, Lai, Chien-Hsu, Chuang, Chieh-Sen, Chen, Yen-Yu, Lin, Shinn-Kuang, Su, Yu-Chin, Shiao, Jen-Lun, Yang, Fu-Yi, Liu, Chih-Yang, Chiang, Han-Lin, Chen, Guei-Chiuan, Hsu, Po-Jen, Chang, Chun-Yuan, Lin, I.-sheng, Chien, Chung-Hsien, Chang, Yang-Chuang, Chen, Ping-Kun, Hsiao, Yu-Jen, Fang, Chen-Wen, Chen, Yu-Wei, Lee, Kuo-Ying, Lin, Yun-Yu, Li, Chen-Hua, Tsai, Hui-Fen, Hsieh, Chuan-Fa, Yang, Chih-Dong, Liaw, Shiumn-Jen, Liao, How-Chin, Yeh, Shoou-Jeng, Wu, Ling-Li, Hsieh, Liang-Po, Lee, Yong-Hui, Chen, Chung-Wen, Hsu, Chih-Shan, Jhih, Ye-Jian, Zhuang, Hao-Yu, Pan, Yan-Hong, Shih, Shin-An, Chen, Chin-I., Sung, Jia-Ying, Weng, Hsing-Yu, Teng, Hao-Wen, Lee, Jing-Er, Huang, Chih-Shan, Chao, Shu-Ping, Yuan, Rey-Yue, Sheu, Jau-Jiuan, Yu, Jia-Ming, Ho, Chun-Sum, Lin, Ting-Chun, Yu, Shih-Chieh, Chen, Jiunn-Rong, Tsai, Song-Yen, Wei, Cheng-Yu, Hung, Chao-Hsien, Lee, Chia Fang, Yang, Sheng-Kung, Chen, Chih-Lin, Lin, Wei, Tseng, Hung-Pin, Liu, Chin-Hsiung, Lin, Chun-Liang, Lin, Hung-Chih, Chen, Pi-Tzu, Hu, Chaur-Jong, Chan, Lung, Chi, Nai-Fang, Chern, Chang-Ming, Lin, Chun-Jen, Wang, Shuu-Jiun, Hsu, Li-Chi, Wong, Wen-Jang, Lee, I-Hui, Yen, Der-Jen, Tsai, Ching-Piao, Kwan, Shang-Yeong, Soong, Bing-Wen, Chen, Shih-Pin, Liao, Kwong-Kum, Lin, Kung-Ping, Chen, Chien, Shan, Din-E., Fuh, Jong-Ling, Wang, Pei-Ning, Lee, Yi-Chung, Yu, Yu-Hsiang, Huang, Hui-Chi, Tsai, Jui-Yao, Wu, Ming-Hsiu, Chiang, Szu-Yi, Wang, Chiung-Yao, Hsu, Ming-Chin, Chen, Chien-Chung, Yeh, Po-Yen, Tsai, Yu-Tai, Wang, Ko-Yi, Chen, Tsang-Shan, Hsieh, Cheng-Yang, Chen, Wei-Fen, Yip, Ping-Keung, Wang, Vinchi, Wang, Kaw-Chen, Tsai, Chung-Fen, Chen, Chao-Ching, Liu, Yi-Chien, Chen, Shao-Yuan, Zhao, Zi-Hao, Wei, Zhi-Peng, Wu, Shey-Lin, Liu, Ching-Kuan, Lin, Ryh-Huei, Chu, Ching-Hua, Yan, Sui-Hing, Lin, Yi-Chun, Chen, Pei-Yun, Hsiao, Sheng-Huang, Yip, Bak-Sau, Tsai, Pei-Chun, Chou, Ping-Chen, Kuo, Tsam-Ming, Lee, Yi-Chen, Chiu, Yi-Pin, Tsai, Kun-Chang, Liao, Yi-Sheng, Tsai, Ming-Jun, Kao, Hsin-Yi, Wang, I-Kuan, Yen, Tzung-Hai, Tsai, I-Ju, Sung, Fung-Chang, and Hsu, Chung Y.

Published
2018
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3. Cholesterol Levels Are Associated with 30-day Mortality from Ischemic Stroke in Dialysis Patients

Author

Liu, Chung-Hsiang, Tsai, Chon-Haw, Huang, Wei-Shih, Lu, Chung-Ta, Tsai, Tzung-Chang, Tseng, Chun-Hung, Lin, Kang-Hsu, Shyn, Woei-Cherng, Yang, Yu-Wan, Liu, Yen-Liang, Cho, Der-Yang, Chen, Chun-Chung, Jeng, Jiann-Shing, Tang, Sung-Chun, Tsai, Li-Kai, Yeh, Shin-Joe, Hsu, Shih-Pin, Chen, Han-Jung, Chang, Cheng-Sen, Kuo, Hung-Chang, Lee, Lian-Hui, Tsui, Huan-Wen, Tsou, Jung-Chi, Wang, Yan-Tang, Tai, Yi-Cheng, Tsai, Kun-Chang, Chen, Yen-Wen, Lu, Kan, Liliang, Po-Chao, Tsai, Yu-Tun, Liang, Cheng-Loong, Wang, Kuo-Wei, Wang, Hao-Kuang, Chen, Jui-Sheng, Chen, Po-Yuan, Chye, Cien-Leong, Tzeng, Wei-Jie, Wu, Pei-Hua, Chen, Chih-Hung, Sung, Pi-Shan, Hsieh, Han-Chieh, Su, Hui-Chen, Chiu, Hou-Chang, Lien, Li-Ming, Chen, Wei-Hung, Bai, Chyi-Huey, Huang, Tzu-Hsuan, Lau, Chi-Ieong, Wu, Ya-Ying, Yeh, Hsu-Ling, Chang, Anna, Lin, Ching-Huang, Yen, Cheng-Chang, Lin, Ruey-Tay, Chen, Chun-Hung, Khor, Gim-Thean, Chao, A-Ching, Lin, Hsiu-Fen, Huang, Poyin, Lin, Huey-Juan, Ke, Der-Shin, Chang, Chia-Yu, Yeh, Poh-Shiow, Lin, Kao-Chang, Cheng, Tain-Junn, Chou, Chih-Ho, Yang, Chun-Ming, Shen, Hsiu-Chu, Chen, An-Chih, Tsai, Shih-Jei, Lu, Tsong-Ming, Kung, Sheng-Ling, Lee, Mei-Ju, Chou, Hsi-Hsien, Chi, Hsin-Yi, Pan, Chou-Hsiung, Chan, Po-Chi, Hsu, Min-Hsien, Chang, Wei-Lun, Huang, Zhi-Zang, Shoung, Hai-Ming, Lo, Yi-Chen, Wang, Fu-Hwa, Lai, Ta-Chang, Yin, Jiu-Haw, Wang, Chung-Jen, Wang, Kai-Chen, Chen, Li-Mei, Denq, Jong-Chyou, Sun, Yu, Lu, Chien-Jung, Lin, Cheng-Huai, Huang, Chieh-Cheng, Liu, Chang-Hsiu, Chan, Hoi-Fong, Lee, Siu-Pak, Sun, Ming-Hui, Ke, Li-Ying, Chen, Po-Lin, Lee, Yu-Shan, Sung, Sheng-Feng, Ong, Cheung-Ter, Wu, Chi-Shun, Hsu, Yung-Chu, Su, Yu-Hsiang, Hung, Ling-Chien, Lee, Jiunn-Tay, Lin, Jiann-Chyun, Hsu, Yaw-Don, Peng, Giia-Sheun, Hsu, Chang-Hung, Lin, Chun-Chieh, Yen, Che-Hung, Cheng, Chun-An, Sung, Yueh-Feng, Chen, Yuan-Liang, Lien, Ming-Tung, Chou, Chung-Hsing, Liu, Chia-Chen, Yang, Fu-Chi, Wu, Yi-Chung, Tso, An-Chen, Lai, Yu-Hua, Chiang, Chun-I, Tsai, Chia-Kuang, Liu, Meng-Ta, Lin, Ying-Che, Hsu, Yu-Chuan, Chiang, Tsuey-Ru, Lee, Mei-Ching, Huang, Pai-Hao, Lie, Sian-King, Liao, Pin-Wen, Chen, Jen-Tse, Sun, Mu-Chien, Lai, Tien-Pao, Chen, Wei-Liang, Chen, Yen-Chun, Chen, Ta-Cheng, Wang, Wen-Fu, Lee, Kwo-Whei, Chang, Chen-Shu, Lai, Chien-Hsu, Shih, Siao-Ya, Chuang, Chieh-Sen, Chen, Yen-Yu, Chen, Chien-Min, Lin, Shinn-Kuang, Su, Yu-Chin, Hsiao, Cheng-Lun, Yang, Fu-Yi, Liu, Chih-Yang, Chiang, Han-Lin, Chang, Chun-Yuan, Lin, I-sheng, Chien, Chung-Hsien, Chang, Yang-Chuang, Chen, Ping-Kun, Chiu, Pai-Yi, Hsiao, Yu-Jen, Fang, Chen-Wen, Chen, Yu-Wei, Lee, Kuo-Ying, Lin, Yun-Yu, Li, Chen-Hua, Tsai, Hui-Fen, Hsieh, Chuan-Fa, Yang, Chih-Dong, Liaw, Shiumn-Jen, Liao, How-Chin, Yeh, Shoou-Jeng, Wu, Ling-Li, Hsieh, Liang-Po, Lee, Yong-Hui, Chen, Chung-Wen, Hsu, Chih-Shan, Jhih, Ye-Jian, Zhuang, Hao-Yu, Pan, Yan-Hong, Shih, Shin-An, Chen, Chin-I, Sung, Jia-Ying, Weng, Hsing-Yu, Teng, Hao-Wen, Lee, Jing-Er, Huang, Chih-Shan, Chao, Shu-Ping, Yuan, Rey-Yue, Sheu, Jau- Jiuan, Yu, Jia-Ming, Ho, Chun-Sum, Lin, Ting-Chun, Yu, Shih-Chieh, Chen, Jiunn-Rong, Tsai, Song-Yen, Wei, Cheng-Yu, Yang, Chao-Nan, Hung, Chao-Hsien, Shih, Ian, Tseng, Hung-Pin, Liu, Chin-Hsiung, Lin, Chun-Liang, Lin, Hung-Chih, Chen, Pi-Tzu, Hu, Chaur-Jong, Chi, Nai-Fang, Chan, Lung, Chern, Chang-Ming, Lin, Chun-Jen, Wang, Shuu-Jiun, Hsu, Li-Chi, Wong, Wen-Jang, Lee, I-Hui, Yen, Der-Jen, Tsai, Ching-Piao, Kwan, Shang-Yeong, Soong, Bing-Wen, Chen, Shih-Pin, Liao, Kwong-Kum, Lin, Kung-Ping, Chen, Chien, Shan, Din-E, Fuh, Jong-Ling, Wang, Pei-Ning, Lee, Yi-Chung, Yu, Yu-Hsiang, Huang, Hui-Chi, Tsai, Jui-Yao, Wu, Ming-Hsiu, Chen, Shi-Cheng, Chiang, Szu-Yi, Wang, Chiung-Yao, Hsu, Ming-Chin, Chen, Chien-Chung, Yeh, Po-Yen, Tsai, Yu-Tai, Wang, Ko-Yi, Chen, Tsang-Shan, Yip, Ping-Keung, Wang, Vinchi, Wang, Kaw-Chen, Tsai, Chung-Fen, Chen, Chao-Ching, Chen, Chih-Hao, Liu, Yi-Chien, Chen, Shao-Yuan, Zhao, Zi-Hao, Wei, Zhi-Peng, Wu, Shey-Lin, Liu, Ching-Kuan, Lin, Ryh-Huei, Chu, Ching-Hua, Yan, Sui-Hing, Lin, Yi-Chun, Chen, Pei-Yun, Hsiao, Sheng-Huang, Yip, Bak-Sau, Tsai, Pei-Chun, Chou, Ping-Chen, Kuo, Tsam-Ming, Lee, Yi-Chen, Chiu, Yi-Pin, Liao, Yi-Sheng, Tsai, Ming-Jun, Kao, Hsin-Yi, Wang, I.-Kuan, Yen, Tzung-Hai, Muo, Chih-Hsin, Ma, Henry, Wen, Chi-Pang, Sung, Fung-Chang, and Hsu, Chung Y.

Published
2017
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5. Derivation and Validation of a Discharge Disposition Predicting Model after Acute Stroke

Author

Jeng, Jiann-Shing, Yeh, Shin-Joe, Tsai, Li-Kai, Chiu, Hou-Chang, Lien, Li-Ming, Chen, Wei-Hung, Bai, Chyi-Huey, Huang, Tzu-Hsuan, Lau, Chi-Ieong, Wu, Ya-Ying, Yuan, Rey-Yue, Hu, Chaur-Jong, Sheu, Jau-Jiuan, Yu, Jia-Ming, Ho, Chun-Sum, Chung, Wen-Ting, Sung, Jia-Ying, Chen, Chin-I, Weng, Hsing-Yu, Han, Yu-Hsuan, Huang, Chun-Ping, Lin, Huey-Juan, Ke, Der-Shin, Chang, Chia-Yu, Yeh, Poh-Shiow, Lin, Kao-Chang, Cheng, Tain-Junn, Chou, Chih-Ho, Yang, Chun-Ming, Lo, Yuk-Keung, Lin, Yu-Te, Lin, Ching-Hwung, Lin, Jiann-Chyun, Hsu, Yaw-Don, Denq, Jong-Chyou, Peng, Giia-Sheun, Lee, Jiunn-Tay, Hsu, Chang-Hung, Lin, Chun-Chieh, Yen, Che-Hung, Cheng, Chun-An, Sung, Yueh-Feng, Chen, Yuan-Liang, Lien, Ming-Tung, Chou, Chung-Hsing, Liu, Chia-Chen, Yang, Fu-Chi, Wu, Yi-Chung, Tso, An-Chen, Lai, Yu-Hua, Chiang, Chun-I, Tsai, Chia-Kuang, Liu, Meng-Ta, Lin, Ying-Che, Hsu, Yu-Chuan, Liu, Chung-Hsiang, Tsai, Chon-Haw, Huang, Wei-Shih, Lu, Chung-Ta, Tsai, Tzung-Chang, Tseng, Chun-Hung, Lin, Kang-Hsu, Shyn, Woei-Cherng, Yang, Yu-Wan, Liu, Yen-Liang, Cho, Der-Yang, Chen, Chun-Chung, Sun, Ming-Hui, Yu, Shih-Chieh, Ke, Li-Ying, Lai, Ming-Liang, Chen, Chih-Hung, Chen, Jiunn-Rong, Tsai, Song-Yen, Chiang, Tsuey-Ru, Lee, Mei-Ching, Lin, Shinn-Kuang, Tseng, Yuan-Fu, Lee, Jing-Er, Hsiao, Cheng-Lun, Liang, Jen-Feng, Chen, Chiu-Mei, Wu, Chao-Hsin, Chen, Yu-Wei, Lee, Kuo-Ying, Lin, Yun-Yu, Li, Chen-Hua, Smith, Eric E., Tsai, Hui-Fen, Hsieh, Chuan-Fa, Yang, Chih-Dong, Liaw, Shiumn-Jen, Liao, How-Chin, Hu, Han-Hwa, Wong, Wen-Jang, Luk, Yun-On, Chern, Chang-Ming, Hsu, Li-Chi, Chung, Chih-Ping, Sun, Mu-Chien, Wu, Shey-Lin, Tseng, Hung-Pin, Liu, Chin-Hsiung, Lin, Chun-Liang, Lin, Hung-Chih, Lai, Ta-Chang, Yin, Jiu-Haw, Wang, Chung-Jen, Wang, Kai-Chen, Chen, Li-Mei, Chan, Lung, Lee, Siu-Pak, Sun, Yu, Huang, Chieh-Cheng, Liu, Chang-Hsiu, Lin, Cheng-Huai, Lu, Chien-Jung, Yeh, Shoou-Jeng, Wu, Ling-Li, Hsieh, Liang-Po, Lee, Yong-Hui, Chen, Chung-Wen, Chen, Po-Lin, Lee, Yu-Shan, Chen, Shu-Yi, Chen, Han-Jung, Hsu, Shih-Pin, Chang, Cheng-Sen, Kuo, Hung-Chang, Wu, Shu-Lung, Tsui, Huan-Wen, Tsou, Jung-Chi, Chou, Feng-Hsiung, Lin, Pei-Jung, Tung, Chin-Sung, Lu, Kan, Liliang, Po-Chou, Tsai, Yu-Duan, Liang, Cheng-Loong, Wang, Kuo-Wei, Wang, Hao-Kuang, Chen, Te-Yuan, Hsin, Yue-Loong, Lin, Chih-Yuan, Yip, Bak-Sau, Tsai, Pei-Chun, Chou, Ping-Chen, Kuo, Tsam-Ming, Lee, Yi-Chen, Chiu, Yi-Pin, Tsai, Kun-Chang, Lin, Ruey-Tay, Chen, Chun-Hung, Khor, Gim-Thean, Chao, A-Ching, Lin, Hsiu-Fen, Lin, I-Sheng, Yan, Sui-Hing, Lin, Yi-Chun, Chen, Pei-Yun, Hsiao, Sheng-Huang, Po, Helen L., Lin, Ya-Ju, Tu, Hao-Chieh, Tang, Sung-Chun, Lin, Fu-Yu, Chen, Ping-Kun, Chiu, Pai-Yi, Yip, Ping-Keung, Wang, Vin-Chi, Wang, Kaw-Chen, Tsai, Chung-Fen, Chen, Chao-Ching, Chen, Chih-Hao, Liu, Yi-Chien, Yeh, Chung-Hsin, Pan, Chou-Hsiung, Jih, Shin-Yi, Chan, Po-Chi, Hsu, Min-Hsien, Shoung, Hai-Ming, Lo, Yi-Chen, Wang, Fu-Hwa, Wei, Cheng-Yu, Lee, Jun-Yu, Lin, Ryh-Huei, Chu, Ching-Hua, Hsu, Ming-Chin, Lin, Feng-Jenq, Chen, Pi-Tzu, Mou, Chih-Hsin, Chang, Chun-Yuan, Chen, An-Chih, Hsiao, Yu-Jen, Lin, Ching-Huang, Hsu, Chung-Y., and Sung, Fung-Chang

Published
2015
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10. Cost-effectiveness of statin therapy for secondary prevention among patients with coronary artery disease and baseline LDL-C 70–100 mg/dL in Taiwan

Author

Lin, Fang-Ju, primary, Shyu, Kou-Gi, additional, Hsieh, I-Chang, additional, Huey-Herng Sheu, Wayne, additional, Tu, Shih-Te, additional, Yeh, Shoou-Jeng, additional, Chen, Chin-I, additional, Lu, Kuo-Cheng, additional, Wu, Chia-Chao, additional, Shau, Wen-Yi, additional, Inocencio, Timothy J., additional, Wen, Yao-Chun, additional, and Yeh, Hung-I, additional

Published
2020
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12. Effectiveness of the 10 cm2 Rivastigmine Patch in Taiwanese Patients with Mild-to-Moderate Alzheimer's Dementia: A 48-Week Real-World Observational Study.

Author

Chang, Chiung-Chih, Chan, Lung, Chou, Hsi-Hsien, Yang, Yu-Wan, Chen, Ta-Fu, Chen, Ting-Bin, Chen, Chin-I., Yang, Audrey, and Hu, Chaur-Jong

Abstract

Introduction: The current study aimed to provide data on the effectiveness of the 10 cm2 rivastigmine patch in patients with Alzheimer's disease (AD) in a real-world setting in Taiwan. Methods: This was a 48-week, single-arm, open-label, observational, and post-marketing study conducted across seven centers in Taiwan between May 5, 2016 and July 10, 2017. Eligible patients (aged 55–95 years) treated with the 10 cm2rivastigmine patch were enrolled based on physicians' judgment and according to the Taiwan reimbursement criteria of the drug. Data were prospectively collected at Week 0 (baseline), Week 24, and Week 48. The primary endpoint was the change in the cognitive assessment screening instrument (CASI) scores at Week 48 versus baseline. The changes from baseline in clinical dementia rating (CDR), mini-mental state examination (MMSE), and neuropsychiatric inventory (NPI) scores were evaluated, as were treatment persistence and the safety profile. Results: Of the 285 eligible patients [full analysis set (FAS)], 216 (75.8%) completed the study protocol while 180 (63.2%) persisted on the 10 cm2 rivastigmine patch for the full 48 weeks. At baseline, 89.8% of patients had a CDR score of 0.5 or 1, while the change in CDR score at Week 48 was not significant. In the FAS, both the CASI and MMSE scores had numerical improvement at Week 24 but declined by 2.1 and 0.4 points, respectively, at Week 48 (p = 0.005 and p = 0.022). The increment in NPI scores was not significant. The most common drug-related adverse events (AEs) were pruritus (11.2%), nausea (3.5%), rash (3.2%), and vomiting (2.8%). Conclusions: The use of the 10 cm2 rivastigmine patch in the mild stage of AD maintained cognitive function at Week 24 and neuropsychiatric function at Week 48. The treatment persistency and safety profile support the clinical tolerability of the rivastigmine patch in the management of mild-to-moderate AD in Taiwan. [ABSTRACT FROM AUTHOR]

Published
2021
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15. Association between genetic variant on chromosome 12p13 and stroke survival and recurrence: a one year prospective study in Taiwan

Author

Hsieh Yi-Chen, Seshadri Sudha, Chung Wen-Ting, Hsieh Fang-I, Hsu Yi-Hsiang, Lin Huey-Juan, Tseng Hung-Pin, Lien Li-Ming, Bai Chyi-Huey, Hu Chaur-Jong, Jeng Jiann-Shing, Tang Sung-Chun, Chen Chin-I, Yu Chia-Chen, and Chiou Hung-Yi

Subjects
stroke, single nucleotide polymorphisms, survival, Medicine
Abstract

Abstract Background The association between ischemic stroke and 2 single nucleotide polymorphisms (SNPs) on chromosome 12p13, rs12425791 and rs11833579 appears inconsistent across different samples. These SNPs are close to the ninjurin2 gene which may alter the risk of stroke by affecting brain response to ischemic injury. The purpose of this study was to investigate the association between these two SNPs and ischemic stroke risk, as well as prognostic outcomes in a Taiwanese sample. Methods We examined the relations of these two SNPs to the odds of new-onset ischemic stroke, ischemic stroke subtypes, and to the one year risk of stroke-related death or recurrent stroke following initial stroke in a case-control study. A total of 765 consecutive patients who had first-ever ischemic stroke were compared to 977 stroke-free, age-matched controls. SNPs were genotyped by Taqman fluorescent allelic discrimination assay. The association between ischemic stroke and SNPs were analyzed by multivariate logistic regression. Cox proportional hazard model was used to assess the effect of individual SNPs on stroke-related mortality or recurrent stroke. Results There was no significant association between SNP rs12425791 and rs11833579 and ischemic stroke after multiple testing corrections. However, the marginal significant association was observed between SNP rs12425791 and large artery atherosclerosis under recessive model (OR, 2.30; 95%CI, 1.22-4.34; q-value = 0.062). Among the 765 ischemic stroke patients, 59 died or developed a recurrent stroke. After adjustment for age, sex, vascular risk factors and baseline stroke severity, Cox proportional hazard analysis indicated that the hazard ratios were 2.76 (95%CI, 1.34-5.68; q-value, 0.02) and 2.15 (95%CI, 1.15-4.02; q-value, 0.03) for individuals with homozygous variant allele of rs12425791 and rs11833579, respectively. Conclusions This is a precedent study that found genetic variants of rs12425791 and rs11833579 on chromosome 12p13 are independent predictors of stroke-related mortality or stroke recurrence in patients with incident ischemic stroke in Taiwan. Further study is needed to explore the details of the physiological function and the molecular mechanisms underlying the association of this genetic locus with ischemic stroke.

Published
2012
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17. Renal function is associated with 1-month and 1-year mortality in patients with ischemic stroke

Author

Wang, I-Kuan, primary, Liu, Chung-Hsiang, additional, Yen, Tzung-Hai, additional, Jeng, Jiann-Shing, additional, Sung, Sheng-Feng, additional, Huang, Pai-Hao, additional, Li, Jie-Yuan, additional, Sun, Yu, additional, Wei, Cheng-Yu, additional, Lien, Li-Ming, additional, Tsai, I-Ju, additional, Sung, Fung-Chang, additional, Hsu, Chung Y., additional, Tsai, Chon-Haw, additional, Huang, Wei-Shih, additional, Lu, Chung-Ta, additional, Tsai, Tzung-Chang, additional, Tseng, Chun-Hung, additional, Lin, Kang-Hsu, additional, Shyu, Woei-Cherng, additional, Yang, Yu-Wan, additional, Liu, Yen-Liang, additional, Cho, Der-Yang, additional, Chen, Chun-Chung, additional, Tang, Sung-Chun, additional, Tsai, Li-Kai, additional, Yeh, Shin-Joe, additional, Chen, Chih-Hao, additional, Tsai, Hsin-Hsi, additional, Chen, Han-Jung, additional, Lu, Kan, additional, Hsu, Shih-Pin, additional, Kuo, Hung-Chang, additional, Tsou, Jung-Chi, additional, Wang, Yan-Tang, additional, Tai, Yi-Cheng, additional, Hsieh, Meng-Tsang, additional, Liliang, Po-Chao, additional, Liang, Cheng-Loong, additional, Wang, Hao-Kuang, additional, Tsai, Yu-Tun, additional, Wang, Kuo-Wei, additional, Chen, Jui-Sheng, additional, Chen, Po-Yuan, additional, Wang, Yi-Ching, additional, Chen, Chih-Hung, additional, Sung, Pi-Shan, additional, Hsieh, Han-Chieh, additional, Su, Hui-Chen, additional, Chiu, Hou-Chang, additional, Chen, Wei-Hung, additional, Bai, Chyi-Huey, additional, Huang, Tzu-Hsuan, additional, Lau, Chi-Ieong, additional, Wu, Ya-Ying, additional, Yeh, Hsu-Ling, additional, Chang, Anna, additional, Lin, Ching-Huang, additional, Yen, Cheng-Chang, additional, Lin, Ruey-Tay, additional, Chen, Chun-Hung, additional, Khor, Gim-Thean, additional, Chao, A-Ching, additional, Lin, Hsiu-Fen, additional, Huang, Poyin, additional, Lin, Huey-Juan, additional, Ke, Der-Shin, additional, Chang, Chia-Yu, additional, Yeh, Poh-Shiow, additional, Lin, Kao-Chang, additional, Cheng, Tain-Junn, additional, Chou, Chih-Ho, additional, Yang, Chun-Ming, additional, Shen, Hsiu-Chu, additional, Chen, An-Chih, additional, Tsai, Shih-Jei, additional, Lu, Tsong-Ming, additional, Kung, Sheng-Ling, additional, Lee, Mei-Ju, additional, Chou, Hsi-Hsien, additional, Chang, Wei-Lun, additional, Chiu, Pai-Yi, additional, Hsu, Min-Hsien, additional, Chan, Po-Chi, additional, Pan, Chau-Hsiung, additional, Shoung, Hai-Ming, additional, Lo, Yi-Chen, additional, Wang, Fu-Hwa, additional, Chang, Wei-Chieh, additional, Lai, Ta-Chang, additional, Yin, Jiu-Haw, additional, Wang, Chung-Jen, additional, Wang, Kai-Chen, additional, Chen, Li-Mei, additional, Denq, Jong-Chyou, additional, Lu, Chien-Jung, additional, Lin, Cheng-Huai, additional, Huang, Chieh-Cheng, additional, Liu, Chang-Hsiu, additional, Chan, Hoi-Fong, additional, Lee, Siu-Pak, additional, Sun, Ming-Hui, additional, Ke, Li-Ying, additional, Chen, Po-Lin, additional, Lee, Yu-Shan, additional, Ong, Cheung-Ter, additional, Wu, Chi-Shun, additional, Hsu, Yung-Chu, additional, Su, Yu-Hsiang, additional, Hung, Ling-Chien, additional, Lee, Jiunn-Tay, additional, Lin, Jiann-Chyun, additional, Hsu, Yaw-Don, additional, Peng, Giia-Sheun, additional, Hsu, Chang-Hung, additional, Lin, Chun-Chieh, additional, Yen, Che-Hung, additional, Cheng, Chun-An, additional, Sung, Yueh-Feng, additional, Chen, Yuan-Liang, additional, Lien, Ming-Tung, additional, Chou, Chung-Hsing, additional, Liu, Chia-Chen, additional, Yang, Fu-Chi, additional, Wu, Yi-Chung, additional, Tso, An-Chen, additional, Lai, Yu- Hua, additional, Chiang, Chun-I., additional, Tsai, Chia-Kuang, additional, Liu, Meng-Ta, additional, Lin, Ying-Che, additional, Hsu, Yu-Chuan, additional, Chiang, Tsuey-Ru, additional, Liao, Pin-Wen, additional, Lee, Mei-Ching, additional, Chen, Jen-Tse, additional, Lie, Sian-King, additional, Sun, Mu-Chien, additional, Hsiao, Pi-Ju, additional, Chen, Wei-Liang, additional, Chen, Ta-Cheng, additional, Chang, Chen-Shu, additional, Lai, Chien-Hsu, additional, Chuang, Chieh-Sen, additional, Chen, Yen-Yu, additional, Lin, Shinn-Kuang, additional, Su, Yu-Chin, additional, Shiao, Jen-Lun, additional, Yang, Fu-Yi, additional, Liu, Chih-Yang, additional, Chiang, Han-Lin, additional, Chen, Guei-Chiuan, additional, Hsu, Po-Jen, additional, Chang, Chun-Yuan, additional, Lin, I.-sheng, additional, Chien, Chung-Hsien, additional, Chang, Yang-Chuang, additional, Chen, Ping-Kun, additional, Hsiao, Yu-Jen, additional, Fang, Chen-Wen, additional, Chen, Yu-Wei, additional, Lee, Kuo-Ying, additional, Lin, Yun-Yu, additional, Li, Chen-Hua, additional, Tsai, Hui-Fen, additional, Hsieh, Chuan-Fa, additional, Yang, Chih-Dong, additional, Liaw, Shiumn-Jen, additional, Liao, How-Chin, additional, Yeh, Shoou-Jeng, additional, Wu, Ling-Li, additional, Hsieh, Liang-Po, additional, Lee, Yong-Hui, additional, Chen, Chung-Wen, additional, Hsu, Chih-Shan, additional, Jhih, Ye-Jian, additional, Zhuang, Hao-Yu, additional, Pan, Yan-Hong, additional, Shih, Shin-An, additional, Chen, Chin-I., additional, Sung, Jia-Ying, additional, Weng, Hsing-Yu, additional, Teng, Hao-Wen, additional, Lee, Jing-Er, additional, Huang, Chih-Shan, additional, Chao, Shu-Ping, additional, Yuan, Rey-Yue, additional, Sheu, Jau-Jiuan, additional, Yu, Jia-Ming, additional, Ho, Chun-Sum, additional, Lin, Ting-Chun, additional, Yu, Shih-Chieh, additional, Chen, Jiunn-Rong, additional, Tsai, Song-Yen, additional, Hung, Chao-Hsien, additional, Lee, Chia Fang, additional, Yang, Sheng-Kung, additional, Chen, Chih-Lin, additional, Lin, Wei, additional, Tseng, Hung-Pin, additional, Liu, Chin-Hsiung, additional, Lin, Chun-Liang, additional, Lin, Hung-Chih, additional, Chen, Pi-Tzu, additional, Hu, Chaur-Jong, additional, Chan, Lung, additional, Chi, Nai-Fang, additional, Chern, Chang-Ming, additional, Lin, Chun-Jen, additional, Wang, Shuu-Jiun, additional, Hsu, Li-Chi, additional, Wong, Wen-Jang, additional, Lee, I-Hui, additional, Yen, Der-Jen, additional, Tsai, Ching-Piao, additional, Kwan, Shang-Yeong, additional, Soong, Bing-Wen, additional, Chen, Shih-Pin, additional, Liao, Kwong-Kum, additional, Lin, Kung-Ping, additional, Chen, Chien, additional, Shan, Din-E., additional, Fuh, Jong-Ling, additional, Wang, Pei-Ning, additional, Lee, Yi-Chung, additional, Yu, Yu-Hsiang, additional, Huang, Hui-Chi, additional, Tsai, Jui-Yao, additional, Wu, Ming-Hsiu, additional, Chiang, Szu-Yi, additional, Wang, Chiung-Yao, additional, Hsu, Ming-Chin, additional, Chen, Chien-Chung, additional, Yeh, Po-Yen, additional, Tsai, Yu-Tai, additional, Wang, Ko-Yi, additional, Chen, Tsang-Shan, additional, Hsieh, Cheng-Yang, additional, Chen, Wei-Fen, additional, Yip, Ping-Keung, additional, Wang, Vinchi, additional, Wang, Kaw-Chen, additional, Tsai, Chung-Fen, additional, Chen, Chao-Ching, additional, Liu, Yi-Chien, additional, Chen, Shao-Yuan, additional, Zhao, Zi-Hao, additional, Wei, Zhi-Peng, additional, Wu, Shey-Lin, additional, Liu, Ching-Kuan, additional, Lin, Ryh-Huei, additional, Chu, Ching-Hua, additional, Yan, Sui-Hing, additional, Lin, Yi-Chun, additional, Chen, Pei-Yun, additional, Hsiao, Sheng-Huang, additional, Yip, Bak-Sau, additional, Tsai, Pei-Chun, additional, Chou, Ping-Chen, additional, Kuo, Tsam-Ming, additional, Lee, Yi-Chen, additional, Chiu, Yi-Pin, additional, Tsai, Kun-Chang, additional, Liao, Yi-Sheng, additional, Tsai, Ming-Jun, additional, and Kao, Hsin-Yi, additional

Published
2018
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18. Cholesterol Levels Are Associated with 30-day Mortality from Ischemic Stroke in Dialysis Patients

Author

Wang, I.-Kuan, primary, Liu, Chung-Hsiang, additional, Yen, Tzung-Hai, additional, Jeng, Jiann-Shing, additional, Hsu, Shih-Pin, additional, Chen, Chih-Hung, additional, Lien, Li-Ming, additional, Lin, Ruey-Tay, additional, Chen, An-Chih, additional, Lin, Huey-Juan, additional, Chi, Hsin-Yi, additional, Lai, Ta-Chang, additional, Sun, Yu, additional, Lee, Siu-Pak, additional, Sung, Sheng-Feng, additional, Chen, Po-Lin, additional, Lee, Jiunn-Tay, additional, Chiang, Tsuey-Ru, additional, Lin, Shinn-Kuang, additional, Muo, Chih-Hsin, additional, Ma, Henry, additional, Wen, Chi-Pang, additional, Sung, Fung-Chang, additional, Hsu, Chung Y., additional, Tsai, Chon-Haw, additional, Huang, Wei-Shih, additional, Lu, Chung-Ta, additional, Tsai, Tzung-Chang, additional, Tseng, Chun-Hung, additional, Lin, Kang-Hsu, additional, Shyn, Woei-Cherng, additional, Yang, Yu-Wan, additional, Liu, Yen-Liang, additional, Cho, Der-Yang, additional, Chen, Chun-Chung, additional, Tang, Sung-Chun, additional, Tsai, Li-Kai, additional, Yeh, Shin-Joe, additional, Chen, Han-Jung, additional, Chang, Cheng-Sen, additional, Kuo, Hung-Chang, additional, Lee, Lian-Hui, additional, Tsui, Huan-Wen, additional, Tsou, Jung-Chi, additional, Wang, Yan-Tang, additional, Tai, Yi-Cheng, additional, Tsai, Kun-Chang, additional, Chen, Yen-Wen, additional, Lu, Kan, additional, Liliang, Po-Chao, additional, Tsai, Yu-Tun, additional, Liang, Cheng-Loong, additional, Wang, Kuo-Wei, additional, Wang, Hao-Kuang, additional, Chen, Jui-Sheng, additional, Chen, Po-Yuan, additional, Chye, Cien-Leong, additional, Tzeng, Wei-Jie, additional, Wu, Pei-Hua, additional, Sung, Pi-Shan, additional, Hsieh, Han-Chieh, additional, Su, Hui-Chen, additional, Chiu, Hou-Chang, additional, Chen, Wei-Hung, additional, Bai, Chyi-Huey, additional, Huang, Tzu-Hsuan, additional, Lau, Chi-Ieong, additional, Wu, Ya-Ying, additional, Yeh, Hsu-Ling, additional, Chang, Anna, additional, Lin, Ching-Huang, additional, Yen, Cheng-Chang, additional, Chen, Chun-Hung, additional, Khor, Gim-Thean, additional, Chao, A-Ching, additional, Lin, Hsiu-Fen, additional, Huang, Poyin, additional, Ke, Der-Shin, additional, Chang, Chia-Yu, additional, Yeh, Poh-Shiow, additional, Lin, Kao-Chang, additional, Cheng, Tain-Junn, additional, Chou, Chih-Ho, additional, Yang, Chun-Ming, additional, Shen, Hsiu-Chu, additional, Tsai, Shih-Jei, additional, Lu, Tsong-Ming, additional, Kung, Sheng-Ling, additional, Lee, Mei-Ju, additional, Chou, Hsi-Hsien, additional, Pan, Chou-Hsiung, additional, Chan, Po-Chi, additional, Hsu, Min-Hsien, additional, Chang, Wei-Lun, additional, Huang, Zhi-Zang, additional, Shoung, Hai-Ming, additional, Lo, Yi-Chen, additional, Wang, Fu-Hwa, additional, Yin, Jiu-Haw, additional, Wang, Chung-Jen, additional, Wang, Kai-Chen, additional, Chen, Li-Mei, additional, Denq, Jong-Chyou, additional, Lu, Chien-Jung, additional, Lin, Cheng-Huai, additional, Huang, Chieh-Cheng, additional, Liu, Chang-Hsiu, additional, Chan, Hoi-Fong, additional, Sun, Ming-Hui, additional, Ke, Li-Ying, additional, Lee, Yu-Shan, additional, Ong, Cheung-Ter, additional, Wu, Chi-Shun, additional, Hsu, Yung-Chu, additional, Su, Yu-Hsiang, additional, Hung, Ling-Chien, additional, Lin, Jiann-Chyun, additional, Hsu, Yaw-Don, additional, Peng, Giia-Sheun, additional, Hsu, Chang-Hung, additional, Lin, Chun-Chieh, additional, Yen, Che-Hung, additional, Cheng, Chun-An, additional, Sung, Yueh-Feng, additional, Chen, Yuan-Liang, additional, Lien, Ming-Tung, additional, Chou, Chung-Hsing, additional, Liu, Chia-Chen, additional, Yang, Fu-Chi, additional, Wu, Yi-Chung, additional, Tso, An-Chen, additional, Lai, Yu-Hua, additional, Chiang, Chun-I, additional, Tsai, Chia-Kuang, additional, Liu, Meng-Ta, additional, Lin, Ying-Che, additional, Hsu, Yu-Chuan, additional, Lee, Mei-Ching, additional, Huang, Pai-Hao, additional, Lie, Sian-King, additional, Liao, Pin-Wen, additional, Chen, Jen-Tse, additional, Sun, Mu-Chien, additional, Lai, Tien-Pao, additional, Chen, Wei-Liang, additional, Chen, Yen-Chun, additional, Chen, Ta-Cheng, additional, Wang, Wen-Fu, additional, Lee, Kwo-Whei, additional, Chang, Chen-Shu, additional, Lai, Chien-Hsu, additional, Shih, Siao-Ya, additional, Chuang, Chieh-Sen, additional, Chen, Yen-Yu, additional, Chen, Chien-Min, additional, Su, Yu-Chin, additional, Hsiao, Cheng-Lun, additional, Yang, Fu-Yi, additional, Liu, Chih-Yang, additional, Chiang, Han-Lin, additional, Chang, Chun-Yuan, additional, Lin, I-sheng, additional, Chien, Chung-Hsien, additional, Chang, Yang-Chuang, additional, Chen, Ping-Kun, additional, Chiu, Pai-Yi, additional, Hsiao, Yu-Jen, additional, Fang, Chen-Wen, additional, Chen, Yu-Wei, additional, Lee, Kuo-Ying, additional, Lin, Yun-Yu, additional, Li, Chen-Hua, additional, Tsai, Hui-Fen, additional, Hsieh, Chuan-Fa, additional, Yang, Chih-Dong, additional, Liaw, Shiumn-Jen, additional, Liao, How-Chin, additional, Yeh, Shoou-Jeng, additional, Wu, Ling-Li, additional, Hsieh, Liang-Po, additional, Lee, Yong-Hui, additional, Chen, Chung-Wen, additional, Hsu, Chih-Shan, additional, Jhih, Ye-Jian, additional, Zhuang, Hao-Yu, additional, Pan, Yan-Hong, additional, Shih, Shin-An, additional, Chen, Chin-I, additional, Sung, Jia-Ying, additional, Weng, Hsing-Yu, additional, Teng, Hao-Wen, additional, Lee, Jing-Er, additional, Huang, Chih-Shan, additional, Chao, Shu-Ping, additional, Yuan, Rey-Yue, additional, Sheu, Jau- Jiuan, additional, Yu, Jia-Ming, additional, Ho, Chun-Sum, additional, Lin, Ting-Chun, additional, Yu, Shih-Chieh, additional, Chen, Jiunn-Rong, additional, Tsai, Song-Yen, additional, Wei, Cheng-Yu, additional, Yang, Chao-Nan, additional, Hung, Chao-Hsien, additional, Shih, Ian, additional, Tseng, Hung-Pin, additional, Liu, Chin-Hsiung, additional, Lin, Chun-Liang, additional, Lin, Hung-Chih, additional, Chen, Pi-Tzu, additional, Hu, Chaur-Jong, additional, Chi, Nai-Fang, additional, Chan, Lung, additional, Chern, Chang-Ming, additional, Lin, Chun-Jen, additional, Wang, Shuu-Jiun, additional, Hsu, Li-Chi, additional, Wong, Wen-Jang, additional, Lee, I-Hui, additional, Yen, Der-Jen, additional, Tsai, Ching-Piao, additional, Kwan, Shang-Yeong, additional, Soong, Bing-Wen, additional, Chen, Shih-Pin, additional, Liao, Kwong-Kum, additional, Lin, Kung-Ping, additional, Chen, Chien, additional, Shan, Din-E, additional, Fuh, Jong-Ling, additional, Wang, Pei-Ning, additional, Lee, Yi-Chung, additional, Yu, Yu-Hsiang, additional, Huang, Hui-Chi, additional, Tsai, Jui-Yao, additional, Wu, Ming-Hsiu, additional, Chen, Shi-Cheng, additional, Chiang, Szu-Yi, additional, Wang, Chiung-Yao, additional, Hsu, Ming-Chin, additional, Chen, Chien-Chung, additional, Yeh, Po-Yen, additional, Tsai, Yu-Tai, additional, Wang, Ko-Yi, additional, Chen, Tsang-Shan, additional, Yip, Ping-Keung, additional, Wang, Vinchi, additional, Wang, Kaw-Chen, additional, Tsai, Chung-Fen, additional, Chen, Chao-Ching, additional, Chen, Chih-Hao, additional, Liu, Yi-Chien, additional, Chen, Shao-Yuan, additional, Zhao, Zi-Hao, additional, Wei, Zhi-Peng, additional, Wu, Shey-Lin, additional, Liu, Ching-Kuan, additional, Lin, Ryh-Huei, additional, Chu, Ching-Hua, additional, Yan, Sui-Hing, additional, Lin, Yi-Chun, additional, Chen, Pei-Yun, additional, Hsiao, Sheng-Huang, additional, Yip, Bak-Sau, additional, Tsai, Pei-Chun, additional, Chou, Ping-Chen, additional, Kuo, Tsam-Ming, additional, Lee, Yi-Chen, additional, Chiu, Yi-Pin, additional, Liao, Yi-Sheng, additional, Tsai, Ming-Jun, additional, and Kao, Hsin-Yi, additional

Published
2017
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21. CHA2DS2-VASc Score and Heart Rate Predict Ischemic Stroke Outcomes in Patients withAtrial Fibrillation

Author

Huang, Chih-Shan, Chen, Chin-I, Liu, Ya-Ting, Huang, Jen-Hung, and Chen, Yi-Jen

Subjects
Mini Forum for EPS
Abstract

To evaluate the factors determining the severity and outcome of ischemic stroke in patients with atrial fibrillation (AF).Our study examined 210 patients with AF and acute ischemic stroke to investigate the relative risks of age, gender, comorbidities, CHADS2 and CHA2DS2-VASc scores, warfarin use, heart rate, and blood pressure on stroke severity, hospitalization duration, and mortality rate.Patients with poor outcomes [n = 109, National Institutes of Health Stroke Scale (NIHSS) scores of ≥ 8] had elevated CHA2DS2-VASc scores [5, interquartile range (IQR) 3-6 versus 4, IQR 2.5-5, p = 0.005] and were older with a female predominance, less prior warfarin use, and a higher heart rate (93 ± 24 versus 84 ± 20 beats/min, p = 0.004) in the emergency department, with a longer duration of hospitalization (24 ± 23 versus 11 ± 12 days, p0.001) and a higher mortality rate (11.0% versus 0.0%, p = 0.002) than those with better outcomes (n = 101, low NIHSS scores of ≤ 7). Patients who died (n = 12) were older and had a higher NIHSS, CHADS2 (3.5, IQR 2-4.75 versus 2, IQR 1-4, p = 0.040), or CHA2DS2-VASc (5.5, IQR 4-6 versus 4, IQR 3-5, p = 0.046) scores than patients who survived. The multivariate analysis showed that female gender, no prior warfarin use, and heart rate were independent predictors of stroke severity.Our results showed that CHADS2 and CHA2DS2-VASc scores, and heart rate were useful parameters for predicting outcomes in AF patients with stroke.Atrial fibrillation; CHA2DS2-VASc score; Heart rate; Ischemic stroke.

Published
2014

23. Neuropathologic Correlates for DTI in post-infectious encephalopathy Short running title: DTI in ANE and ADEM

Author

Chen, Chin-I, Mar, Soe, Brown, Stephanie, Song, Sheng-Kwei, and Benzinger, Tammie L.S.

Subjects
Male, Diabetes Mellitus, Type 1, Diffusion Tensor Imaging, Neurofilament Proteins, Image Processing, Computer-Assisted, Anisotropy, Brain, Humans, Nervous System Diseases, Child, Article, Demyelinating Diseases
Abstract

Acute necrotizing encephalopathy and acute disseminated encephalomyelitis are 2 rare types of acute postinfectious encephalopathy in children. Acute necrotizing encephalopathy is characterized by multiple symmetric lesions in the thalami, putamena, cerebral and cerebellar white matter, and brainstem. Acute disseminated encephalomyelitis is an immune-mediated demyelinating central nervous system disorder that predominantly affects the white matter. Diffusion magnetic resonance imaging is sensitive to measuring water diffusion in the central nervous system in human and animal models. Recent studies have demonstrated that by using an analytical approach to directional diffusivity-derived parameters, the axial diffusivity and the radial diffusivity, one can assess the extent of axonal or myelin injury in the central nervous system white matter. We applied directional diffusivity to acute necrotizing encephalopathy, acute disseminated encephalomyelitis, and control subjects correlating with neuropathology findings. In acute necrotizing encephalopathy, axonal injury without demyelination, noted on biopsy samples of brain tissue, was suggested by a decreased apparent diffusion coefficient, unchanged fractional anisotropy, and decreased axial and radial diffusivity. In acute disseminated encephalomyelitis, an increased apparent diffusion coefficient, decreased fractional anisotropy, unchanged axial diffusivity, and markedly increased radial diffusivity compatible with active inflammatory demyelination were noted, consistent with tissue biopsy sample neuropathology. In conclusion, diffusion tensor parameters can potentially depict more microstructural changes than conventional magnetic resonance imaging in postinfectious encephalopathy in children.

Published
2011

25. Derivation and Validation of a Discharge Disposition Predicting Model after Acute Stroke

Author

Tseng, Hung-Pin, primary, Lin, Feng-Jenq, additional, Chen, Pi-Tzu, additional, Mou, Chih-Hsin, additional, Lee, Siu-Pak, additional, Chang, Chun-Yuan, additional, Chen, An-Chih, additional, Liu, Chung-Hsiang, additional, Yeh, Chung-Hsin, additional, Tsai, Song-Yen, additional, Hsiao, Yu-Jen, additional, Lin, Ching-Huang, additional, Hsu, Shih-Pin, additional, Yu, Shih-Chieh, additional, Hsu, Chung-Y., additional, Sung, Fung-Chang, additional, Jeng, Jiann-Shing, additional, Yeh, Shin-Joe, additional, Tsai, Li-Kai, additional, Chiu, Hou-Chang, additional, Lien, Li-Ming, additional, Chen, Wei-Hung, additional, Bai, Chyi-Huey, additional, Huang, Tzu-Hsuan, additional, Lau, Chi-Ieong, additional, Wu, Ya-Ying, additional, Yuan, Rey-Yue, additional, Hu, Chaur-Jong, additional, Sheu, Jau-Jiuan, additional, Yu, Jia-Ming, additional, Ho, Chun-Sum, additional, Chung, Wen-Ting, additional, Sung, Jia-Ying, additional, Chen, Chin-I, additional, Weng, Hsing-Yu, additional, Han, Yu-Hsuan, additional, Huang, Chun-Ping, additional, Lin, Huey-Juan, additional, Ke, Der-Shin, additional, Chang, Chia-Yu, additional, Yeh, Poh-Shiow, additional, Lin, Kao-Chang, additional, Cheng, Tain-Junn, additional, Chou, Chih-Ho, additional, Yang, Chun-Ming, additional, Lo, Yuk-Keung, additional, Lin, Yu-Te, additional, Lin, Ching-Hwung, additional, Lin, Jiann-Chyun, additional, Hsu, Yaw-Don, additional, Denq, Jong-Chyou, additional, Peng, Giia-Sheun, additional, Lee, Jiunn-Tay, additional, Hsu, Chang-Hung, additional, Lin, Chun-Chieh, additional, Yen, Che-Hung, additional, Cheng, Chun-An, additional, Sung, Yueh-Feng, additional, Chen, Yuan-Liang, additional, Lien, Ming-Tung, additional, Chou, Chung-Hsing, additional, Liu, Chia-Chen, additional, Yang, Fu-Chi, additional, Wu, Yi-Chung, additional, Tso, An-Chen, additional, Lai, Yu-Hua, additional, Chiang, Chun-I, additional, Tsai, Chia-Kuang, additional, Liu, Meng-Ta, additional, Lin, Ying-Che, additional, Hsu, Yu-Chuan, additional, Tsai, Chon-Haw, additional, Huang, Wei-Shih, additional, Lu, Chung-Ta, additional, Tsai, Tzung-Chang, additional, Tseng, Chun-Hung, additional, Lin, Kang-Hsu, additional, Shyn, Woei-Cherng, additional, Yang, Yu-Wan, additional, Liu, Yen-Liang, additional, Cho, Der-Yang, additional, Chen, Chun-Chung, additional, Sun, Ming-Hui, additional, Ke, Li-Ying, additional, Lai, Ming-Liang, additional, Chen, Chih-Hung, additional, Chen, Jiunn-Rong, additional, Chiang, Tsuey-Ru, additional, Lee, Mei-Ching, additional, Lin, Shinn-Kuang, additional, Tseng, Yuan-Fu, additional, Lee, Jing-Er, additional, Hsiao, Cheng-Lun, additional, Liang, Jen-Feng, additional, Chen, Chiu-Mei, additional, Wu, Chao-Hsin, additional, Chen, Yu-Wei, additional, Lee, Kuo-Ying, additional, Lin, Yun-Yu, additional, Li, Chen-Hua, additional, Smith, Eric E., additional, Tsai, Hui-Fen, additional, Hsieh, Chuan-Fa, additional, Yang, Chih-Dong, additional, Liaw, Shiumn-Jen, additional, Liao, How-Chin, additional, Hu, Han-Hwa, additional, Wong, Wen-Jang, additional, Luk, Yun-On, additional, Chern, Chang-Ming, additional, Hsu, Li-Chi, additional, Chung, Chih-Ping, additional, Sun, Mu-Chien, additional, Wu, Shey-Lin, additional, Tseng, Hung-Pin, additional, Liu, Chin-Hsiung, additional, Lin, Chun-Liang, additional, Lin, Hung-Chih, additional, Lai, Ta-Chang, additional, Yin, Jiu-Haw, additional, Wang, Chung-Jen, additional, Wang, Kai-Chen, additional, Chen, Li-Mei, additional, Chan, Lung, additional, Sun, Yu, additional, Huang, Chieh-Cheng, additional, Liu, Chang-Hsiu, additional, Lin, Cheng-Huai, additional, Lu, Chien-Jung, additional, Yeh, Shoou-Jeng, additional, Wu, Ling-Li, additional, Hsieh, Liang-Po, additional, Lee, Yong-Hui, additional, Chen, Chung-Wen, additional, Chen, Po-Lin, additional, Lee, Yu-Shan, additional, Chen, Shu-Yi, additional, Chen, Han-Jung, additional, Chang, Cheng-Sen, additional, Kuo, Hung-Chang, additional, Wu, Shu-Lung, additional, Tsui, Huan-Wen, additional, Tsou, Jung-Chi, additional, Chou, Feng-Hsiung, additional, Lin, Pei-Jung, additional, Tung, Chin-Sung, additional, Lu, Kan, additional, Liliang, Po-Chou, additional, Tsai, Yu-Duan, additional, Liang, Cheng-Loong, additional, Wang, Kuo-Wei, additional, Wang, Hao-Kuang, additional, Chen, Te-Yuan, additional, Hsin, Yue-Loong, additional, Lin, Chih-Yuan, additional, Yip, Bak-Sau, additional, Tsai, Pei-Chun, additional, Chou, Ping-Chen, additional, Kuo, Tsam-Ming, additional, Lee, Yi-Chen, additional, Chiu, Yi-Pin, additional, Tsai, Kun-Chang, additional, Lin, Ruey-Tay, additional, Chen, Chun-Hung, additional, Khor, Gim-Thean, additional, Chao, A-Ching, additional, Lin, Hsiu-Fen, additional, Lin, I-Sheng, additional, Yan, Sui-Hing, additional, Lin, Yi-Chun, additional, Chen, Pei-Yun, additional, Hsiao, Sheng-Huang, additional, Po, Helen L., additional, Lin, Ya-Ju, additional, Tu, Hao-Chieh, additional, Tang, Sung-Chun, additional, Lin, Fu-Yu, additional, Chen, Ping-Kun, additional, Chiu, Pai-Yi, additional, Yip, Ping-Keung, additional, Wang, Vin-Chi, additional, Wang, Kaw-Chen, additional, Tsai, Chung-Fen, additional, Chen, Chao-Ching, additional, Chen, Chih-Hao, additional, Liu, Yi-Chien, additional, Pan, Chou-Hsiung, additional, Jih, Shin-Yi, additional, Chan, Po-Chi, additional, Hsu, Min-Hsien, additional, Shoung, Hai-Ming, additional, Lo, Yi-Chen, additional, Wang, Fu-Hwa, additional, Wei, Cheng-Yu, additional, Lee, Jun-Yu, additional, Lin, Ryh-Huei, additional, Chu, Ching-Hua, additional, and Hsu, Ming-Chin, additional

Published
2015
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30. A clinical study to assess the immunogenicity and safety of a monovalent 2009 influenza A (H1N1) vaccine in an area with low-level epidemics of pandemic influenza

Author

Kung, Hsiang-Chi, primary, Huang, Kuo-Chin, additional, Kao, Tsui-Mai, additional, Lee, Yi-Chien, additional, Chang, Feng-Yee, additional, Wang, Ning-Chi, additional, Liu, Yung-Ching, additional, Lee, Wen-Sen, additional, Liu, Hsing-Jin, additional, Chen, Chin-I, additional, Chen, Chien-Hui, additional, Huang, Li-Min, additional, and Hsieh, Szu-Min, additional

Published
2010
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31. Immune response of single dose vaccination against 2009 pandemic influenza A (H1N1) in the Taiwanese elderly

Author

Kao, Tsui Mai, primary, Hsieh, Szu Min, additional, Kung, Hsiang Chi, additional, Lee, Yi Chien, additional, Huang, Kuo Chin, additional, Huang, Li Min, additional, Chang, Feng Yee, additional, Wang, Ning Chi, additional, Liu, Yung Ching, additional, Lee, Wen Sen, additional, Liu, Hsingjin Eugene, additional, Chen, Chin I., additional, and Chen, Chien-Hui, additional

Published
2010
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33. Adiponectin and leptin in overweight/obese and lean women with polycystic ovary syndrome.

Author

Chen, Chin-I, Hsu, Ming-I, Lin, Shyh-Hsiang, Chang, Yuan-Chin I., Hsu, Chun-Sen, and Tzeng, Chii-Ruey

Subjects
*ADIPONECTIN, *LEPTIN, *OVERWEIGHT women, *OBESITY in women, *PEPTIDE hormones, *POLYCYSTIC ovary syndrome treatment, *INSULIN resistance
Abstract

Aim: The objective of this study was to evaluate the adiponectin and leptin levels in overweight/obese and lean women with polycystic ovary syndrome (PCOS). Design: This was a retrospective study. Patients: Of the 422 studied patients, 224 women with PCOS and 198 women without PCOS were evaluated. Main outcome measure(s): Insulin resistance and the metabolic components were assessed. The adiponectin and leptin levels were also evaluated. Results: Adiponectin was negatively correlated with insulin resistance, body mass index (BMI), and total testosterone, triglyceride, and low-density lipoprotein (LDL) levels; conversely, leptin reversed the aforementioned reaction and was negatively correlated with adiponectin levels. The adiponectin to leptin ratios were significantly lower in PCOS women than in those without PCOS. Compared to women with non-PCOS, overweight/obese women with PCOS had lower serum adiponectin levels than women without PCOS, which was not the case for lean women. Conversely, lean women with PCOS had higher serum leptin levels than those without PCOS, which was not the case for overweight/obese women. Conclusions: Adipose tissue might play an important role in the metabolic complications in women with PCOS. To study the impact of obesity biomarkers in women with PCOS, overweight/obese and lean women should be considered separately. [ABSTRACT FROM AUTHOR]

Published
2015
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35. Pathogen colonization in patients with acute cerebral stroke.

Author

Chang, Kwang-Hwa, Liou, Tsan-Hon, Chen, Chin-I, Wu, Chien-Hua, Hsu, Wen-Yen, and Ou, Tsong-Yih

Abstract

Purpose: To identify the pathogens that frequently cause infection and to explore their clinical features in acute stroke patients. Methods: From June 1, 1999 to December 31, 2008, we reviewed medical records of 263 patients with acute stroke and 351 controls. Within 30 days from admission, 109 and 107 patients had one or more bacterial cultures, respectively. The cumulative bacteria-free probability of all patients and the incidence of each isolated pathogen were assessed. We searched for the factors associated with isolation of different Gram-negative bacilli (GNB). Results: Patients with recent stroke were prone to healthcare-associated colonization within 2 weeks from admission. One-fourth of stroke patients had positive bacterial culture. Stroke patients had a high incidence of Staphylococcus aureus and various GNB in their sputum. When urinary tract infections (UTIs) began 9 days or more after admission, the contributory pathogens were most often glucose-nonfermenting bacilli. However, if UTIs occurred within 9 days after admission, the pathogens were likely to be Enterobacteriaceae bacilli. Conclusions: Stroke patients had high incidence of pathogenic bacteria in their sputum which might be prone to pneumonia. The time after admission of the onset of UTI is useful information for predicting contributory pathogens and planning for appropriate treatment. [ABSTRACT FROM AUTHOR]

Published
2013
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36. The relationship between carotid intima-media thickness and endogenous androgens in young women with polycystic ovary syndrome in Taiwan.

Author

Teng, Hao-Wen, Chien, Yi-Wen, Hsu, Ming-I, and Chen, Chin-I

Subjects
POLYCYSTIC ovary syndrome, CAROTID intima-media thickness, ANDROGENS, ATHEROSCLEROSIS, ANDROSTENEDIONE, PATIENTS
Abstract

Polycystic ovary syndrome (PCOS) is a common and complex female endocrinopathy that is associated with multiple vascular risk factors. Our objective was to investigate the relationship between carotid intima-media thickness (CIMT) and endogenous androgens in young Taiwanese-Chinese women with PCOS. We measured CIMT with B-mode ultrasound in 42 young PCOS patients and 43 controls. Atherosclerosis-associated profiles and endocrinological parameters were also measured. The results showed that although Taiwanese-Chinese PCOS patients tend to possess more risk factors for atherosclerosis than controls, there was no evidence to support that they have a greater CIMT at this age. Furthermore, androstenedione appears to be inversely associated with CIMT. [ABSTRACT FROM AUTHOR]

Published
2013
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37. Impact of MCA stenosis on the early outcome in acute ischemic stroke patients.

Author

Jeng JS, Hsieh FI, Yeh HL, Chen WH, Chiu HC, Tang SC, Liu CH, Lin HJ, Hsu SP, Lo YK, Chan L, Chen CH, Lin RT, Chen YW, Lee JT, Yeh CH, Sun MH, Lai TC, Sun Y, Sun MC, Chen PL, Chiang TR, Lin SK, Yip BS, Chen CI, Bai CH, Chen ST, Chiou HY, Lien LM, and Hsu CY

Subjects
Aged, Female, Humans, Male, Middle Aged, Stroke pathology, Constriction, Pathologic pathology, Middle Cerebral Artery pathology, Stroke physiopathology
Abstract

Background: Asians have higher frequency of intracranial arterial stenosis. The present study aimed to compare the clinical features and outcomes of ischemic stroke patients with and without middle cerebral artery (MCA) stenosis, assessed by transcranial sonography (TCS), based on the Taiwan Stroke Registry (TSR)., Methods: Patients with acute ischemic stroke or transient ischemic attack registered in the TSR, and received both carotid duplex and TCS assessment were categorized into those with stenosis (≥50%) and without (<50%) in the extracranial internal carotid artery (ICA) and MCA, respectively. Logistic regression analysis, Kaplan-Meier method and Cox proportional hazard model were applied to assess relevant variables between groups., Results: Of 6003 patients, 23.3% had MCA stenosis, 10.1% ICA stenosis, and 3.9% both MCA and ICA stenosis. Patients with MCA stenosis had greater initial NIHSS, higher likelihood of stroke-in-evolution, and more severe disability than those without (all p<0.001). Patients with MCA stenosis had higher prevalence of hypertension, diabetes and hypercholesterolemia. Patients with combined MCA and extracranial ICA stenosis had even higher NIHSS, worse functional outcome, higher risk of stroke recurrence or death (hazard ratio, 2.204; 95% confidence intervals, 1.440-3.374; p<0.001) at 3 months after stroke than those without MCA stenosis., Conclusions: In conclusion, MCA stenosis was more prevalent than extracranial ICA stenosis in ischemic stroke patients in Taiwan. Patients with MCA stenosis, especially combined extracranial ICA stenosis, had more severe neurological deficit and worse outcome.

Published
2017
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38. Bilateral Paramedian Thalamic Infarction Presenting as Status Epilepticus: A Case Report and Review of the Literatures.

Author

Lin SF, Lin TC, Hu HH, and Chen CI

Subjects
Aged, Electroencephalography, Female, Humans, Cerebral Infarction complications, Status Epilepticus etiology, Thalamus pathology
Abstract

Purpose: Occlusion of the artery of Percheron (AOP), a rare vascular variant of basilar artery branch, is presumed to cause bilateral paramedian thalamic infarction. We present a case of acute AOP infarction with status epilepticus., Case Report: A 65-year-old woman had past history of hypertension, type 2 diabetes mellitus, and major depressive disorder. She was found to have altered mental status on awakening. She developed tonic convulsion and progressed to status epilepticus later. The brain magnetic resonance imaging (MRI) showed acute bilateral paramedian thalamic and interpeduncular mesencephalic infarction. The electroencephalography (EEG) showed continuous epileptiform discharges. After receiving antiplatelet and anticonvulsant agents, she regained her level of consciousness and has completely recovered to previous baseline., Conclusions: To our knowledge, this is the first case of AOP infarction presenting status epilepticus. Early recognition and treatment of seizure may reverse altered mental status in those patients.

Published
2015

39. CHA2DS2-VASc Score and Heart Rate Predict Ischemic Stroke Outcomes in Patients withAtrial Fibrillation.

Author

Huang CS, Chen CI, Liu YT, Huang JH, and Chen YJ

Abstract

Purpose: To evaluate the factors determining the severity and outcome of ischemic stroke in patients with atrial fibrillation (AF)., Methods: Our study examined 210 patients with AF and acute ischemic stroke to investigate the relative risks of age, gender, comorbidities, CHADS2 and CHA2DS2-VASc scores, warfarin use, heart rate, and blood pressure on stroke severity, hospitalization duration, and mortality rate., Results: Patients with poor outcomes [n = 109, National Institutes of Health Stroke Scale (NIHSS) scores of ≥ 8] had elevated CHA2DS2-VASc scores [5, interquartile range (IQR) 3-6 versus 4, IQR 2.5-5, p = 0.005] and were older with a female predominance, less prior warfarin use, and a higher heart rate (93 ± 24 versus 84 ± 20 beats/min, p = 0.004) in the emergency department, with a longer duration of hospitalization (24 ± 23 versus 11 ± 12 days, p < 0.001) and a higher mortality rate (11.0% versus 0.0%, p = 0.002) than those with better outcomes (n = 101, low NIHSS scores of ≤ 7). Patients who died (n = 12) were older and had a higher NIHSS, CHADS2 (3.5, IQR 2-4.75 versus 2, IQR 1-4, p = 0.040), or CHA2DS2-VASc (5.5, IQR 4-6 versus 4, IQR 3-5, p = 0.046) scores than patients who survived. The multivariate analysis showed that female gender, no prior warfarin use, and heart rate were independent predictors of stroke severity., Conclusions: Our results showed that CHADS2 and CHA2DS2-VASc scores, and heart rate were useful parameters for predicting outcomes in AF patients with stroke., Key Words: Atrial fibrillation; CHA2DS2-VASc score; Heart rate; Ischemic stroke.

Published
2014

40. Epistasis analysis for estrogen metabolic and signaling pathway genes on young ischemic stroke patients.

Author

Hsieh YC, Jeng JS, Lin HJ, Hu CJ, Yu CC, Lien LM, Peng GS, Chen CI, Tang SC, Chi NF, Tseng HP, Chern CM, Hsieh FI, Bai CH, Chen YR, and Chiou HY

Subjects
Adult, Case-Control Studies, Female, Genotype, Humans, Male, Middle Aged, Polymorphism, Single Nucleotide, Signal Transduction, Brain Ischemia genetics, Catechol O-Methyltransferase genetics, Estrogen Receptor alpha genetics, Estrogens metabolism, Stroke genetics, Sulfotransferases genetics
Abstract

Background: Endogenous estrogens play an important role in the overall cardiocirculatory system. However, there are no studies exploring the hormone metabolism and signaling pathway genes together on ischemic stroke, including sulfotransferase family 1E (SULT1E1), catechol-O-methyl-transferase (COMT), and estrogen receptor α (ESR1)., Methods: A case-control study was conducted on 305 young ischemic stroke subjects aged

Published
2012
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41. Further development in anatomically constrained MR image reconstruction: application to multimodal imaging of mouse stroke.

Author

Haldar JP, Wu TH, Wang Q, Chen CI, Song SK, and Liang ZP

Subjects
Algorithms, Animals, Mice, Biomarkers analysis, Brain metabolism, Brain pathology, Diagnosis, Computer-Assisted methods, Magnetic Resonance Imaging methods, Magnetic Resonance Spectroscopy methods, Stroke diagnosis, Stroke metabolism
Abstract

MR imaging can leverage a wide variety of intrinsic contrast mechanisms to provide detailed information regarding the anatomy, function, physiology, and metabolism of biological tissues. However, because of low sensitivity, many experiments that reveal higher-order structure and function have been limited due to inherent trade-offs between data acquisition time, signal-to-noise ratio, and resolution. This paper describes the further development of a statistical framework for MR image reconstruction which helps to mitigate these effects. Specifically, we advocate the collection of high-resolution multi-modal MR imaging data, and utilize the correlation between features in these different images to reduce noise while maintaining resolution. The proposed approach is illustrated with joint reconstruction of relaxometry and spectroscopic imaging data in a mouse model of stroke.

Published
2008
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