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1. 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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2. 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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3. Correlation between transition percentage of minute volume (TMV%) and outcome of patients with acute respiratory failure

Author

Yuh-Chin T. Huang, Chin-Pyng Wu, Shu-Fen Wu, Chung-Kan Peng, Chuan-Fa Hsieh, Chung-Chih Huang, and Shih-Hsing Yang

Subjects
Adult, Male, ARDS, medicine.medical_specialty, Respiratory rate, viruses, medicine.medical_treatment, Critical Care and Intensive Care Medicine, Spontaneous breathing trial, 03 medical and health sciences, Work of breathing, 0302 clinical medicine, medicine, Tidal Volume, Humans, 030212 general & internal medicine, Prospective Studies, Aged, Mechanical ventilation, COPD, Respiratory Distress Syndrome, business.industry, Respiration, fungi, food and beverages, Middle Aged, medicine.disease, Respiration, Artificial, Surgery, 030228 respiratory system, Anesthesia, Breathing, Female, business, Respiratory Insufficiency, Ventilator Weaning, Respiratory minute volume
Abstract

Purpose We have previously shown in patients receiving adaptive support ventilation (ASV) that there existed a Transition %MinVol (TMV%) where the patient's work of breathing began to reduce. In this study, we tested the hypothesis that higher TMV% would be associated with poorer outcome in patients with acute respiratory failure. Materials and methods In this prospective observational study, we recruited patients with acute respiratory failure on ASV between December 2012 and September 2013 in a mixed ICU. The TMV% was determined by adjusting % MinVol until mandatory respiratory frequency was between 0 and 1 breath/min. TMV% was measured on the first two days of mechanical ventilation. Results A total of 337 patients (age: 70 ± 16 years) were recruited. In patients whose TMV% increased between Day 1 and Day 2, aOR for mortality was 7.0 (95%CI = 2.7–18.3, p

Published
2016

4. Increased risk of chronic kidney disease among users of non-prescribed Chinese herbal medicine in Taiwan

Author

Chien Lung Chen, Chen Chang Yang, Wei Ta Chen, Huan Cheng Chang, Chuan Fa Hsieh, Song Lih Huang, and Ming Ling Wu

Subjects
Adult, Male, Nephrology, Health Knowledge, Attitudes, Practice, medicine.medical_specialty, Epidemiology, Taiwan, Comorbidity, Disease, urologic and male genital diseases, End stage renal disease, Risk Factors, Surveys and Questionnaires, Internal medicine, Humans, Medicine, Renal Insufficiency, Chronic, Exercise, Life Style, Aged, Proportional Hazards Models, Retrospective Studies, business.industry, Incidence (epidemiology), Smoking, Public Health, Environmental and Occupational Health, Case-control study, Confounding Factors, Epidemiologic, Retrospective cohort study, Middle Aged, medicine.disease, female genital diseases and pregnancy complications, Socioeconomic Factors, Case-Control Studies, Chronic Disease, Multivariate Analysis, Kidney Failure, Chronic, Female, business, Drugs, Chinese Herbal, Kidney disease
Abstract

Taiwan has the highest incidence of chronic kidney disease (CKD) and end-stage renal disease (ESRD) worldwide. Chinese herbal medicine (CHM) has been linked to CKD/ESRD in Taiwan. The specific effects and frequency of CHM on the risk of CKD are unknown.A hospital-based case-control study was performed from August 2006 through December 2009. The cases were consecutive nephrology outpatients 20years of age or older, with a first-time diagnosis of CKD, and without cancer or pre-existing renal disease. The controls were randomly selected outpatients that did not have CKD and were matched 1:1 to cases for age, gender and date of outpatient visit.Four hundred and twenty-four patients were recruited. Among 212 cases, 23.6% took non-prescribed CHM, compared to 6.6% among the controls (p0.001). Multivariate analysis showed that illiteracy [odds ratio (OR) 6.3, 95% confidence interval (CI) 2.4-16.6], hypertension (OR 5.4, 95% CI 2.9-9.8) and occasional use of non-prescribed CHM (OR 6.2, 95% CI 1.8-21.6) were positively associated with CKD, whereas regular exercise was inversely associated with CKD (OR 0.5, 95% CI 0.3-0.9).Occasional use of non-prescribed CHM was associated with the risk of CKD in Taiwan.

Published
2012
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5. Predictive Model for Congenital Muscular Torticollis: Analysis of 1021 Infants With Sonography

Author

Huan Cheng Chang, Ming Fang Yen, Tony Hsui Hsi Chen, Miao Ming Chen, and Chuan Fa Hsieh

Subjects
Male, Pediatrics, medicine.medical_specialty, Physical Therapy, Sports Therapy and Rehabilitation, Logistic regression, Risk Assessment, Neck Muscles, Predictive Value of Tests, Congenital muscular torticollis, medicine, Humans, Range of Motion, Articular, Risk factor, Torticollis, Ultrasonography, Receiver operating characteristic, business.industry, Rehabilitation, Infant, Newborn, Odds ratio, medicine.disease, Confidence interval, Logistic Models, ROC Curve, Head Movements, Predictive value of tests, Female, business, Neck
Abstract

Chen M-M, Chang H-C, Hsieh C-F, Yen M-F, Chen TH. Predictive model for congenital muscular torticollis: analysis of 1021 infants with sonography. Objective To construct a predictive model to foretell congenital muscular torticollis (CMT) on the basis of clinical correlates. Design Correlation study. Setting Regional hospital. Participants A consecutive series of 1021 newborn infants. Interventions Not applicable. Main Outcome Measure Participants underwent portable ultrasonography to diagnose CMT. Significant clinical correlates were identified to construct a predictive model using the logistic regression model. Results Forty of 1021 infants were diagnosed with CMT using ultrasonography, yielding an overall incidence of 3.92%. Birth body length (odds ratio [OR]=1.38; 95% confidence interval [CI], 1.49–2.38), facial asymmetry (OR=21.75; 95% CI, 6.6–71.7), plagiocephaly (OR=22.3; 95% CI, 7.01–70.95), perineal trauma during delivery (OR=4.26; 95% CI, 1.25–14.52), and primiparity (OR=6.32; 95% CI, 2.34–17.04) were significant correlates. A predictive logistic regression model with the incorporation of these 4 correlates was developed. We used cross-validation with a receiver operating characteristic curve to validate the predictive model. Conclusions Our study successfully developed a quantitative predictive model for estimating the risk of CMT on the basis of clinical correlates only. This model has good discriminative ability for classifying CMT and non-CMT by yielding acceptable values of false-negative and false-positive cases.

Published
2005
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6. 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

7. Non-aristolochic acid prescribed Chinese herbal medicines and the risk of mortality in patients with chronic kidney disease: results from a population-based follow-up study

Author

Wei Ta Chen, Chuan Fa Hsieh, Huan Cheng Chang, Chen Chang Yang, Song Lih Huang, and Chien Lung Chen

Subjects
Male, medicine.medical_specialty, Pediatrics, Population, Alternative medicine, Taiwan, Lower risk, Prescribed Chinese Herbal Medicine, Aristolochic Acid, Risk Factors, Chronic Kidney Disease, medicine, Risk of mortality, Humans, Longitudinal Studies, Renal Insufficiency, Chronic, education, Retrospective Studies, Occupational and Environmental Medicine, education.field_of_study, business.industry, Research, Confounding, Cancer, Retrospective cohort study, General Medicine, Middle Aged, medicine.disease, Treatment Outcome, Aristolochic Acids, Female, business, Kidney disease, Drugs, Chinese Herbal, Follow-Up Studies
Abstract

Objectives To evaluate the relationship between the use of non-aristolochic acid (AA) prescribed Chinese herbal medicines (CHMs) and the risk of mortality in patients with chronic kidney disease (CKD). Design Nationwide population-based follow-up study. Setting Longitudinal health insurance database sampled from the Taiwan National Health Insurance Research Database. Participants A total of 47 876 patients with CKD were identified. Participants who had ever used AA-containing CHMs, had cancer or HIV prior to the diagnosis of CKD, died within the first month of CKD diagnosis and who were not Taiwanese citizens were excluded. A total of 13 864 participants were eligible for final analysis. Primary and secondary outcome measures All-cause mortality among patients with CKD between 2000 and 2008. Results After controlling for potential confounders, we found that participants who started to receive non-AA prescribed CHMs after the diagnosis of CKD had a lower risk of mortality as compared with non-users of non-AA prescribed CHMs (adjusted HR (aHR) 0.6; 95% CI 0.4 to 0.7, p

Published
2014

8. Risk factors of in-hospital mortality of intracerebral hemorrhage and comparison of ICH scores in a Taiwanese population

Author

Chuan-Fa Hsieh, Huan-Sheng Chen, Tang-Tat Chau, Yu-Wei Chen, and Chih-Dong Yang

Subjects
Male, Pediatrics, medicine.medical_specialty, Population, Taiwan, Severity of Illness Index, Predictive Value of Tests, Risk Factors, Diabetes mellitus, Severity of illness, medicine, Diabetes Mellitus, Humans, Glasgow Coma Scale, cardiovascular diseases, Hospital Mortality, education, Aged, Cerebral Hemorrhage, Retrospective Studies, Intracerebral hemorrhage, education.field_of_study, In hospital mortality, business.industry, Retrospective cohort study, Middle Aged, medicine.disease, nervous system diseases, Logistic Models, Neurology, Predictive value of tests, Hypertension, Female, Neurology (clinical), business, Tomography, X-Ray Computed
Abstract

Background and Purpose: Intracerebral hemorrhage (ICH) is associated with substantial morbidity and mortality. This study aimed to explore the risk factors associated with mortality and unfavorable outcome of ICH in Taiwan and to compare the predictive power with the existing ICH scores. Methods: Medical records of the ICH patients consecutively admitted to a regional hospital between January 2003 and December 2006 were reviewed retrospectively. The demographics, outcome, clinical and radiological characteristics were also analyzed. Results: A total of 61 among 285 (21.4%) ICH patients died during hospitalization. Diabetes mellitus, lower scores of initial Glasgow Coma Scale, initial ICH volume >30 ml, and intraventricular hematoma were identified as major independent risk factors associated with in-hospital mortality in the logistic regression model. In comparison to the predictive power for mortality and unfavorable outcome, Barthel Index Conclusions: Although these ICH scores developed with various measurements, no significant difference in predicting mortality and unfavorable functional outcomes was found. The results supporting the ICH score by Hemphill may provide a good prediction in acute outcome across ethnic groups.

Published
2011

9. Biological risk factors relevant to chronic disease in three ethnic groups in Taiwan: results from Li-Shin Outreaching Neighborhood Screening (LIONS A1)

Author

Huan-Cheng, Chang, Ya-Yu, Kung, Chuan-Fa, Hsieh, Lisa Hui-Yin, Hsiung, Shu-Hui, Chang, and Tony Hsiu-Hsi, Chen

Subjects
Adult, Male, Parents, Alcohol Drinking, Taiwan, Hyperuricemia, Body Mass Index, Age Distribution, Asian People, Risk Factors, Surveys and Questionnaires, Diabetes Mellitus, Humans, Mass Screening, Obesity, Sex Distribution, Areca, Aged, Metabolic Syndrome, Smoking, Middle Aged, Lipids, Cardiovascular Diseases, Chronic Disease, Hypertension, Women's Health, Female
Abstract

Few population-based studies have compared risk factors related to chronic diseases across multiethnic groups of Chinese people. Consequently, we report the prevalence of common chronic disorders that make up the metabolic syndrome and compare their distribution in three ethnic subgroups: the offspring of Hakka, Minnan, and mainlander women.We included 6854 participants in the Li-Shin Outreaching Neighborhood Screening (LIONS) project: 3088 (45.1%) Hakkas, 2461 (35.9%) Minnans, and 1305 (19.0%) mainlanders. Information on demographic features and recognized lifestyle factors was collected by using questionnaires; data on biological markers of metabolic syndrome were collected from serum samples by using standard biochemical analyses.Miscegenation averaged 22%. Smoking, alcohol consumption, and betel chewing varied across the three subpopulations. After controlling for demographic features and these three risk factors, men with mainlander mothers had more body fat. Compared with offspring with Hakka mothers, attendees whose mothers were from Minnan had higher uric acid concentrations.Despite the rarity of racial miscegenation in the three ethnic groups, most biological markers of metabolic syndrome were identical across the groups. Disparities were found for hyperuricemia in attendees whose mothers were from Minnan and for obesity in men whose mothers were mainlanders. These findings can help design health policy for the early detection of chronic disease in different ethnic Chinese groups.

Published
2008

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