Search

Your search keyword '"Kang-Hsu Lin"' showing total 13 results
Start Over Author "Kang-Hsu Lin"
13 results on '"Kang-Hsu Lin"'

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
Full Text
View/download PDF

2. Use of a Smartphone Application to Speed Up Interhospital Transfer of Acute Ischemic Stroke Patients for Thrombectomy

Author

Sheng-Ta Tsai, Wei-Chun Wang, Yu-Ting Lin, Wei-Shih Huang, Hung-Yu Huang, Chun-Ju Wang, En-Zu Lin, Wei-Ling Kung, Yuh-Cherng Guo, Kang-Hsu Lin, Ming-Kuei Lu, Pao-Sheng Yen, Wei-Laing Chen, Ying-Lin Tseng, Chin-Chi Kuo, Der-Yang Cho, Chun-Chung Chen, and Chon-Haw Tsai

Subjects
stroke, thrombectomy, interhospital transfer, door-to-puncture time, communication, smartphone, Neurology. Diseases of the nervous system, RC346-429
Abstract

Background: In most countries, large cerebral artery occlusion is identified as the leading cause of disability. In 2015, five large-scale clinical trials confirmed the benefit of intra-arterial thrombectomy. However, thrombectomy is a highly technical and facility-dependent procedure. Primary stroke centers need to transfer patients to comprehensive stroke centers to perform thrombectomy. The time-lapse during interhospital transfer would decrease the chance of the patient's proper recovery. Communication barriers also contribute to this delay.Aims: We used a smartphone application to overcome communication barriers between hospitals. We aimed to shorten the door-to-puncture time of interhospital transfer patients.Methods: We began using a smartphone application, “LINE,” to facilitate interhospital communication on May 01, 2018. We carried out retrospective data analyses for all the transfer patients (n = 351), with the primary outcome being the door-to-puncture time in our comprehensive stroke center (China Medical University Hospital). We compared the three periods: May 01 to Dec 31, 2017 (before the use of the smartphone application); May 01 to Dec 31, 2018 (the 1st year of using the smartphone application); and May 01 to Dec 31, 2019 (the 2nd year of using the smartphone application). We also compared the transfer data with non-transfer thrombectomies in the same period.Results: We compared 2017, 2018, and 2019 data. The total number of transfer patients increased over the years: 63, 113, 175, respectively. The mean door-to-puncture time decreased significantly, going from 109, through 102, to 92 min. Meanwhile, the mean door-to-puncture time in non-transfer patients were 140.3, 122.1, and 129.3 min. The main reason of time saving was the change of the way of communication, from point-to-point interhospital communication to hub-to-spoke interhospital communication.Conclusions: We used this smartphone application to enhance interhospital communication, changed from the point-to-point to hub-to-spoke method. It made us overcome the communication barrier and build up interhospital connection, thus shortening the door-to-puncture time. Our experience demonstrated the importance of close communication and teamwork in hyperacute stroke care, especially in interhospital transfer for thrombectomy.

Published
2021
Full Text
View/download PDF

4. Bone Loss in Diabetes Mellitus: Diaporosis.

Author

Kupai, Krisztina, Kang, Hsu Lin, Pósa, Anikó, Csonka, Ákos, Várkonyi, Tamás, and Valkusz, Zsuzsanna

Subjects
*DIABETES, *PEOPLE with diabetes, *OSTEOPOROSIS, *HYPOGLYCEMIC agents, *DIAGNOSIS, *ALENDRONATE
Abstract

The objective of this review is to examine the connection between osteoporosis and diabetes, compare the underlying causes of osteoporosis in various forms of diabetes, and suggest optimal methods for diagnosing and assessing fracture risk in diabetic patients. This narrative review discusses the key factors contributing to the heightened risk of fractures in individuals with diabetes, as well as the shared elements impacting the treatment of both diabetes mellitus and osteoporosis. Understanding the close link between diabetes and a heightened risk of fractures is crucial in effectively managing both conditions. There are several review articles of meta-analysis regarding diaporosis. Nevertheless, no review articles showed collected and well-organized medications of antidiabetics and made for inconvenient reading for those who were interested in details of drug mechanisms. In this article, we presented collected and comprehensive charts of every antidiabetic medication which was linked to fracture risk and indicated plausible descriptions according to research articles. [ABSTRACT FROM AUTHOR]

Published
2024
Full Text
View/download PDF

5. Paclitaxel Protects against Isoproterenol-Induced Damage in Rat Myocardium: Its Heme-Oxygenase Mediated Role in Cardiovascular Research

Author

Matusovits, Danica, primary, Murlasits, Zsolt, additional, Kupai, Krisztina, additional, Baráth, Zoltán, additional, Kang, Hsu Lin, additional, Osváth, Péter, additional, Szűcs, Miklós, additional, Priksz, Dániel, additional, Juhász, Béla, additional, Radák, Zsolt, additional, Várkonyi, Tamás, additional, Pavo, Imre, additional, and Pósa, Anikó, additional

Published
2023
Full Text
View/download PDF

6. Use of a Smartphone Application to Speed Up Interhospital Transfer of Acute Ischemic Stroke Patients for Thrombectomy

Author

Sheng-Ta Tsai, Wei-Chun Wang, Yu-Ting Lin, Wei-Shih Huang, Hung-Yu Huang, Chun-Ju Wang, En-Zu Lin, Wei-Ling Kung, Yuh-Cherng Guo, Kang-Hsu Lin, Ming-Kuei Lu, Pao-Sheng Yen, Wei-Laing Chen, Ying-Lin Tseng, Chin-Chi Kuo, Der-Yang Cho, Chun-Chung Chen, and Chon-Haw Tsai

Subjects
medicine.medical_specialty, Smartphone application, smartphone, hub-to-spoke, Retrospective data, Transfer (computing), medicine, RC346-429, Stroke, Acute ischemic stroke, Original Research, business.industry, communication, University hospital, medicine.disease, stroke, Clinical trial, Hyperacute stroke, interhospital transfer, Neurology, door-to-puncture time, thrombectomy, Emergency medicine, Neurology (clinical), Neurology. Diseases of the nervous system, business, application
Abstract

Background: In most countries, large cerebral artery occlusion is identified as the leading cause of disability. In 2015, five large-scale clinical trials confirmed the benefit of intra-arterial thrombectomy. However, thrombectomy is a highly technical and facility-dependent procedure. Primary stroke centers need to transfer patients to comprehensive stroke centers to perform thrombectomy. The time-lapse during interhospital transfer would decrease the chance of the patient's proper recovery. Communication barriers also contribute to this delay.Aims: We used a smartphone application to overcome communication barriers between hospitals. We aimed to shorten the door-to-puncture time of interhospital transfer patients.Methods: We began using a smartphone application, “LINE,” to facilitate interhospital communication on May 01, 2018. We carried out retrospective data analyses for all the transfer patients (n = 351), with the primary outcome being the door-to-puncture time in our comprehensive stroke center (China Medical University Hospital). We compared the three periods: May 01 to Dec 31, 2017 (before the use of the smartphone application); May 01 to Dec 31, 2018 (the 1st year of using the smartphone application); and May 01 to Dec 31, 2019 (the 2nd year of using the smartphone application). We also compared the transfer data with non-transfer thrombectomies in the same period.Results: We compared 2017, 2018, and 2019 data. The total number of transfer patients increased over the years: 63, 113, 175, respectively. The mean door-to-puncture time decreased significantly, going from 109, through 102, to 92 min. Meanwhile, the mean door-to-puncture time in non-transfer patients were 140.3, 122.1, and 129.3 min. The main reason of time saving was the change of the way of communication, from point-to-point interhospital communication to hub-to-spoke interhospital communication.Conclusions: We used this smartphone application to enhance interhospital communication, changed from the point-to-point to hub-to-spoke method. It made us overcome the communication barrier and build up interhospital connection, thus shortening the door-to-puncture time. Our experience demonstrated the importance of close communication and teamwork in hyperacute stroke care, especially in interhospital transfer for thrombectomy.

Published
2020

7. 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
Full Text
View/download PDF

8. 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
Full Text
View/download PDF

9. Type III Sturge-Weber Syndrome With Migraine-Like Attacks Associated With Prolonged Visual Aura

Author

Yi Ting Hsu, Kang-Hsu Lin, Jui-Cheng Chen, and Hung Yu Huang

Subjects
Adult, medicine.medical_specialty, genetic structures, Aura, Cerebral infarction, Migraine with Aura, Sturge–Weber syndrome, medicine.disease, Visual field, White matter, Angioma, medicine.anatomical_structure, Atrophy, Neurology, Migraine, Sturge-Weber Syndrome, Anesthesia, Internal medicine, Cardiology, medicine, Humans, Female, Neurology (clinical), Psychology
Abstract

Sturge-Weber syndrome is known to be associated with migraine attacks and prolong aura even without cerebral infarction. We report the case of a 36-year-old woman with type III Sturge-Weber syndrome developing with prolonged left homonymous hemianopsia after an intractable migraine-like headache and becoming a permanent visual field defect at 18-month follow up. By adopting a multimodality imaging study, we suggested that the underlying mechanism of prolonged visual field defect was due to blood flow disturbance and vasogenic leakage under the leptomeningeal angioma combining with atrophy and the damaged integrity of white matter in right occipital lobe.

Published
2013
Full Text
View/download PDF

10. 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

11. Risk of Parkinson's disease following zolpidem use: a retrospective, population-based cohort study

Author

Chih-Hsin Muo, Kang-Hsu Lin, Chia-Hung Kao, Ming-Kuei Lu, Chon-Haw Tsai, Fung-Chang Sung, and Hui-Chun Huang

Subjects
Adult, Male, Risk, medicine.medical_specialty, Zolpidem, Parkinson's disease, Adolescent, Pyridines, Taiwan, Prodromal Symptoms, Comorbidity, Benzodiazepines, Young Adult, Internal medicine, medicine, Humans, Hypnotics and Sedatives, Parkinson Disease, Secondary, Psychiatry, Depression (differential diagnoses), Aged, Retrospective Studies, Aged, 80 and over, business.industry, Depression, musculoskeletal, neural, and ocular physiology, Incidence (epidemiology), Incidence, Hazard ratio, Retrospective cohort study, Parkinson Disease, Middle Aged, medicine.disease, Psychiatry and Mental health, Cohort, Female, business, psychological phenomena and processes, medicine.drug
Abstract

OBJECTIVE To evaluate the influence of long-term zolpidem use on the incidence of developing Parkinson's disease. METHOD 2,961 subjects who used zolpidem for the first time longer than 3 months between 1998 and 2000 were identified in the National Health Insurance system of Taiwan. Subjects without a history of zolpidem use were randomly selected as a comparison cohort and frequency matched to zolpidem users based on age, sex, and index date. The diagnosis of Parkinson's disease was based on the criteria of the International Classification of Diseases, Ninth Revision, Clinical Modification. Its incidence until the end of 2009 was calculated and its hazard ratios (HRs) and 95% CIs were estimated using Cox proportional hazards regression models and Kaplan-Meier analysis. RESULTS The overall incidence of Parkinson's disease was greater among zolpidem users than in the comparison cohort (HR = 1.88; 95% CI, 1.45-2.45). However, there was no difference in Parkinson's disease incidence between these 2 cohorts after 5 years of observation. The risk of Parkinson's disease increased with increasing zolpidem dose, with an HR of 0.70 for low-dose users (< 400 mg/y) and 2.94 for high-dose users (≥ 1,600 mg/y). The incidence of Parkinson's disease was greater in subjects using zolpidem only (HR = 2.35; 95% CI, 1.66-3.33) compared to those using benzodiazepines only (HR = 1.31; 95% CI, 0.91-1.90). By stratified analysis, zolpidem use with concurrent depression (HR = 4.79) increased the risk of Parkinson's disease compared to that of zolpidem users without concurrent depression. CONCLUSIONS Zolpidem use might unmask preclinical Parkinson's disease, especially in patients with depression. However, large population-based, unbiased, randomized trials are warranted to confirm this finding.

Published
2013

12. Identification of painless aortic dissection before thrombolytic treatment for acute ischemic stroke

Author

Wei-Kung Chen, Hui-Chun Huang, Kang-Hsu Lin, Chen-Hsiung Huang, and Chon-Haw Tsai

Subjects
Aortic arch, Male, medicine.medical_specialty, Thrombolytic treatment, Early detection, Perfusion scanning, Brain Ischemia, Time windows, Internal medicine, medicine.artery, medicine, Humans, Thrombolytic Therapy, Acute ischemic stroke, Aortic dissection, medicine.diagnostic_test, business.industry, Angiography, General Medicine, Middle Aged, medicine.disease, Aortic Aneurysm, Stroke, Aortic Dissection, Treatment Outcome, Emergency Medicine, Cardiology, business, Tomography, X-Ray Computed
Abstract

Early detection of acute ischemic stroke secondary to painless aortic dissection is a challenge for emergency physicians, especially when under the stress of the 3-hour golden time window for thrombolytic therapy. We reported a 57-year-old man with acute right hemisphere watershed ischemic stroke caused by painless type A aortic dissection was diagnosed in time with computed tomographic (CT) angiography. The possible detrimental impact which may have been incurred by thrombolytic therapy was avoided. We suggest that cerebral CT angiography, covering from the aortic arch to intracranial arteries, should be performed in acute ischemic stroke patients, particularly in those with watershed CT perfusion deficits, to exclude the possibility of aortic dissection before thrombolytic treatment.

Published
2012

13. A novel ABCD1 gene mutation in a Chinese-Taiwanese patient with adrenomyeloneuropathy

Author

Kon-Ping Lin, Kang-Hsu Lin, Kwong-Kum Liao, Yo-Tsen Liu, and Bing-Wen Soong

Subjects
Adult, Taiwan, Gene mutation, Biology, ATP Binding Cassette Transporter, Subfamily D, Member 1, Exon, Developmental Neuroscience, Asian People, medicine, Missense mutation, Humans, Point Mutation, Adrenoleukodystrophy, Gene, Genetics, Direct sequencing, Exons, medicine.disease, Neurology, Pediatrics, Perinatology and Child Health, Mutation (genetic algorithm), ATP-Binding Cassette Transporters, Female, Neurology (clinical), Novel mutation
Abstract

The ABCD1 gene mutation (previously ALD) has been reported in China, but not previously in Taiwan. This case report describes one Taiwanese patient whose clinical manifestations were compatible with adrenomyeloneuropathy. Direct sequencing for the ABCD1 gene of this patient and his mother detected a novel missense mutation, K513Q, in exon 6, the first such detected in a Taiwanese patient. Previous studies have suggested exon 6 as a possible hot segment of ABCD1 gene mutations in Chinese populations; however, most of the mutations in exon 6 presented as childhood cerebral adrenoleukodystrophy. K513Q is also the first novel mutation located within exon 6 and presenting with adult-onset adrenomyeloneuropathy in Chinese-Taiwanese.

Published
2006

Catalog

Books, media, physical & digital resources
See catalog results