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1. Low-Density Lipoprotein Cholesterol and Mortality in Patients With Intracerebral Hemorrhage in Taiwan

Author

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

Subjects
stroke, ICH, LDL, Taiwan Stroke Registry, mortality, proportional hazards regression analysis, Neurology. Diseases of the nervous system, RC346-429
Abstract

Objective: Lower serum low-density lipoprotein cholesterol (LDL-C) levels are associated with increased intracerebral hemorrhage (ICH) risk. However, reverse causality and residual confounding has not attracted public attention. Therefore, we assessed whether people with LDL-C have increased risk of mortality adjusting for potential confounders using two large Taiwan cohorts.Methods: The Mei-Jhao (MJ) cohort has 414,372 adults participating in a medical screening program with 378 ICH deaths within 15 years of follow-up (1994–2008). Cox proportional hazards regressions estimated hazard death ratios according to LDL-C levels. We identified 4,606 ICH patients from the Taiwan Stroke Registry (TSR) and analyzed the impact of LDL-C on 3-month mortality.Results: Low cholesterol (LDL-C

Published
2022
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2. Renal function is associated with 1-month and 1-year mortality in patients with ischemic stroke

Author

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

Subjects
Adult, Male, Stroke registry, medicine.medical_specialty, Time Factors, Adolescent, Taiwan, Renal function, 030204 cardiovascular system & hematology, Kidney, Risk Assessment, Brain Ischemia, Young Adult, 03 medical and health sciences, 0302 clinical medicine, Risk Factors, Internal medicine, Humans, Medicine, In patient, Registries, Risk factor, Stroke, Aged, Retrospective Studies, Aged, 80 and over, business.industry, Mortality rate, Middle Aged, Prognosis, medicine.disease, Ischemic stroke, Cardiology, Female, Kidney Diseases, Cardiology and Cardiovascular Medicine, business, 1 year mortality, 030217 neurology & neurosurgery, Glomerular Filtration Rate
Abstract

Background and aims Renal dysfunction is a potent risk factor for cardiovascular diseases, including stroke. This study aimed to evaluate the impact of admission estimated glomerular filtration rate (eGFR) levels on short-term (1-month) and long-term (1-year) mortality in patients with acute ischemic stroke. Methods From the Taiwan Stroke Registry data, we classified ischemic stroke patients, identified from April 2006 to December 2015, into 5 groups by eGFR at admission: ≥ 90, 60–89, 30–59, 15–29, and Results Among 52,732 ischemic stroke patients, 1480 died within one month. The 1-month mortality rate was over 5-fold greater in patients with eGFR Conclusions After acute ischemic stroke, patients with reduced eGFR are at elevated risks of short-term and long-term deaths in a graded relationship.

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

Author

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

Subjects
Male, Stroke registry, medicine.medical_specialty, Time Factors, medicine.medical_treatment, Taiwan, Kaplan-Meier Estimate, 030204 cardiovascular system & hematology, Dialysis patients, Brain Ischemia, 03 medical and health sciences, chemistry.chemical_compound, Patient Admission, 0302 clinical medicine, Renal Dialysis, Risk Factors, Internal medicine, medicine, Humans, Registries, Serum cholesterol, Dialysis, Aged, Proportional Hazards Models, Aged, 80 and over, Cholesterol, business.industry, Mortality rate, Rehabilitation, Middle Aged, Prognosis, Stroke, chemistry, 30 day mortality, Ischemic stroke, Cardiology, Kidney Failure, Chronic, Female, Surgery, Neurology (clinical), Cardiology and Cardiovascular Medicine, business, Biomarkers, 030217 neurology & neurosurgery
Abstract

We investigated the impact of serum cholesterol levels on 30-day mortality after ischemic stroke in dialysis patients.From the Taiwan Stroke Registry data, we identified 46,770 ischemic stroke cases, including 1101 dialysis patients and 45,669 nondialysis patients from 2006 to 2013.Overall, the 30-day mortality was 1.46-fold greater in the dialysis group than in the nondialysis group (1.75 versus 1.20 per 1000 person-days). The mortality rates were 1.64, .62, 2.82, and 2.23 per 1000 person-days in dialysis patients with serum total cholesterol levels of 120 mg/dL, 120-159 mg/dL, 160-199 mg/dL, and ≥200 mg/dL, respectively. Compared to dialysis patients with serum total cholesterol levels of 120-159 mg/dL, the corresponding adjusted hazard ratios of mortality were 4.20 (95% confidence interval [CI] = 1.01-17.4), 8.06 (95% CI = 2.02-32.2), and 6.89 (95% CI = 1.59-29.8) for those with cholesterol levels of 120 mg/dL, 160-199 mg/dL, and ≥200 mg/dL, respectively.Dialysis patients with serum total cholesterol levels of ≥160 mg/dL or 120 mg/dL on admission are at an elevated hazard of 30-day mortality after ischemic stroke.

Published
2017
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4. Derivation and validation of a discharge disposition predicting model after acute stroke

Author

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

Subjects
Adult, Male, medicine.medical_specialty, Risk Assessment, Young Adult, Risk Factors, Diabetes mellitus, medicine, Humans, Derivation, Stroke, Aged, Aged, 80 and over, Framingham Risk Score, Receiver operating characteristic, business.industry, Rehabilitation, Odds ratio, Disposition, Middle Aged, Models, Theoretical, medicine.disease, Confidence interval, Patient Discharge, Nursing Homes, Hospitalization, Emergency medicine, Physical therapy, Surgery, Female, Neurology (clinical), Cardiology and Cardiovascular Medicine, business
Abstract

Background Discharge disposition planning is vital for poststroke patients. We investigated clinical factors associated with discharging patients to nursing homes, using the Taiwan Stroke Registry data collected from 39 major hospitals. Methods We randomly assigned 21,575 stroke inpatients registered from 2006 to 2008 into derivation and validation groups at a 3-to-1 ratio. We used the derivation group to develop a prediction model by measuring cumulative risk scores associated with potential predictors: age, sex, hypertension, diabetes mellitus, heart diseases, stroke history, snoring, main caregivers, stroke types, and National Institutes of Health Stroke Scale (NIHSS). Probability of nursing home care and odds ratio (OR) of nursing home care relative to home care by cumulative risk scores were measured for the prediction. The area under the receiver operating characteristic curve (AUROC) was used to assess the model discrimination against the validation group. Results Except for hypertension, all remaining potential predictors were significant independent predictors associated with stroke patient disposition to nursing home care after discharge from hospitals. The risk sharply increased with age and NIHSS. Patients with a cumulative risk score of 15 or more had an OR of 86.4 for the nursing home disposition. The AUROC plots showed similar areas under curves for the derivation group (.86, 95% confidence interval [CI], .85-.87) and for the validation group (.84, 95% CI, .83-.86). Conclusions The cumulative risk score is an easy-to-estimate tool for preparing stroke patients and their family for disposition on discharge.

Published
2014

5. Brown-Séquard syndrome associated with Horner's syndrome in cervical epidural hematoma

Author

Brian Bing-Herng Shen, Chiung-Chyi Shen, Dar-Yu Yang, Fu-Hwa Wang, and Yeou-Chih Wang

Subjects
Hematoma, Epidural, Cranial, Male, medicine.medical_specialty, Brown-Séquard syndrome, Horner Syndrome, Eye disease, Lesion, Epidural hematoma, Hematoma, Brown-Sequard Syndrome, medicine, Humans, Orthopedics and Sports Medicine, Surgical emergency, medicine.diagnostic_test, business.industry, Magnetic resonance imaging, Middle Aged, medicine.disease, Spinal cord, Magnetic Resonance Imaging, Surgery, medicine.anatomical_structure, Cervical Vertebrae, Neurology (clinical), medicine.symptom, business, Spinal Cord Compression
Abstract

Study design This report analyzed the likely locations of lesions that cause a combination of Horner's and Brown-Sequard syndromes. One must know the anatomic structure of spinal cord and the sympathetic nerve chain. Objectives A hypertensive patient had Brown-Sequard and Horner's syndromes after neck trauma. The magnetic resonance imaging and surgical findings showed the correlation between the clinical symptoms and the likely lesion. Methods The patient underwent right hemilaminectomy from C2 to C6 with total removal of hematoma. Conclusion The spinal epidural hematoma rarely is a surgical emergency. The patient presented with Brown-Sequard and Horner's syndromes. Magnetic resonance imaging made a rapid and correct diagnosis. The patient received an emergent right hemilaminectomy from C2 to C6 with removal of hematoma and subsequently made a complete recovery.

Published
1995

6. Repeat Operations in Failed Microvascular Decompression for Trigeminal Neuralgia

Author

Yeou Chih Wang, Fu Hwa Wang, Cecil Guang Shiung Chang, Dar Yu Yang, Der Yang Cho, and Chiung Chy Shen

Subjects
Reoperation, medicine.medical_specialty, Microsurgery, medicine.medical_treatment, Microvascular decompression, Veins, Postoperative Complications, Trigeminal neuralgia, Recurrence, Cerebellum, Medicine, Humans, Polytetrafluoroethylene, Neurologic Examination, business.industry, Nerve Compression Syndromes, Rhizotomy, Arteries, Prostheses and Implants, Trigeminal Neuralgia, medicine.disease, nervous system diseases, Surgery, body regions, Anesthesia, Neurology (clinical), business, Spinal Nerve Roots, Follow-Up Studies
Abstract

For the study of pathogenesis and treatment of recurrent trigeminal neuralgia, we performed 31 repeat operations from among 400 patients with trigeminal neuralgia in the past 10 years. Initially, of these 400 patients, 376 underwent microvascular decompression only, and 24 underwent partial sensory rhizotomy with or without microvascular decompression. Fifty-three patients (14%) had recurrences after microvascular decompression, of which 31 patients underwent repeat operations. Among the repeat operations, there was negative exploration in 16 patients (52%), arterial loop compression in 7 (22%), venous compression in 4 (13%), and Teflon compression or adhesion in 4 (13%). Twenty-one patients had early recurrences within 1 year, and 10 patients had late recurrences. Negative exploration and arterial compression were more likely in early recurrence (P = 0.01). Continuing demyelination might occur in patients with negative exploration, even when adequate decompression had been initially performed. Seventy percent of the patients had no recurring pain by way of partial sensory rhizotomy for negative explorations, redecompression of arterial loops, division of offending veins, or lysis and reposition of Teflon. About half of the patients had positive findings that were amenable without rhizotomy in the repeat operations. A repeat operation for failed microvascular decompression is a good choice if the condition of the patient is tolerant.

Published
1994
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7. Robust and efficient control transfer for binary transformations.

Author

Shtilman, Dmitri, Fu-Hwa Wang, and Panchenko, Maksim

Abstract

The article describes a technique for handling control transfers in binary transformations. Even with the help of compilers/tools that create codes, binary transformation tools cannot always gain a complete understanding of the code in input binary. In order for a binary transformation tool to produce robust output binary, the transformed code must detect and adapt to unexpected control transfers.

Published
2006

8. Cross shared library code placement optimizations.

Author

Lobo, Sheldon and Fu-Hwa Wang

Abstract

Provides information on the advantages of shared libraries on computer software applications. Functionality of a single shared library; Limitations of the traditional source level compiler optimizers; Capability of the operating system to minimize Translation Lookaside Buffer.

Published
2006

9. Generation and Debugging of Optimized Code for the TRON Architecture

Author

M. Ghiassi, Fu-Hwa Wang, and Durga Agarwal

Subjects
business.industry, Computer science, media_common.quotation_subject, Optimizing compiler, Time efficient, Set (abstract data type), Software, Debugging, Computer architecture, Object code, Embedded system, Code (cryptography), Architecture, business, media_common
Abstract

Microtec Research, Inc. (MRI) has developed an integrated set of software tools to support both the fast generation of highly optimized code and subsequent high-level/low-level debugging of this code for embedded and native UNIX® applications. This paper discusses the global and TRON architecture-specific optimization techniques used to produce this highly space/time efficient object code. The use of optimization information to provide source-level debugging of optimized code is also discussed.

Published
1988
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