Search

Your search keyword '"Min-Hsien Hsu"' showing total 9 results
Start Over Author "Min-Hsien Hsu" Topic medicine
9 results on '"Min-Hsien Hsu"'

1. Visual hallucinations in Alzheimer's disease is significantly associated with clinical diagnostic features of dementia with Lewy bodies.

Author

Pai-Yi Chiu, Min-Hsien Hsu, Chein-Wei Wang, Chun-Tang Tsai, and Ming-Chyi Pai

Subjects
Medicine, Science
Abstract

Visual hallucinations (VHs) are among the most striking features of dementia with Lewy bodies (DLB). Given that Lewy body pathology is frequently observed in the brains of patients with AD, we aimed to study factors associated with VHs in AD and examine their association with DLB features. This cross-sectional study enrolled a consecutive series of AD patients who visited the dementia clinic of a regional hospital. Clinically diagnosed possible or probable DLB cases were excluded. VH frequency and associated factors including age, sex, education, disease severity, DLB features, vascular risk factors, cognitive function, and neuropsychiatric symptoms were compared between AD patients with VHs (VH+) and those without VHs (VH-). Among a total of 295 patients analyzed, 42 (14.2%) had VHs. After adjusting for age, sex, and disease severity, DLB features including fluctuations in cognition scores, rapid-eye-movement behavioral disorder (RBD), and severe neuroleptic sensitivity were more frequent in the VH+ group. Furthermore, depression score, total Neuropsychiatric Inventory (NPI) score, and total caregiver burden score as assessed by the NPI were higher in the VH+ group. Among neuropsychiatric symptoms, delusions, hallucinations in the non-visual domains, anxiety, and disinhibition were more frequent in the VH+ group. Conversely, none of the vascular risk factors (VRFs) or cognitive domains of the Cognitive Abilities Screening Instrument (CASI) was associated with VHs in AD. In summary, VHs, albeit occurring at a low rate, had a high impact on AD. Diagnostic features of DLB, including fluctuations, RBD, and severe neuroleptic sensitivity were significantly associated with VHs in AD. AD patients with VHs tended to have more severe neuropsychiatric symptoms and greater caregiver burden.

Published
2017
Full Text
View/download PDF

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
Full Text
View/download PDF

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
Full Text
View/download PDF

4. Chronic Influences of Obstructive Sleep Apnea on Cerebral Venous Flow

Author

Po Chi Chan, Han Hwa Hu, Chang Sheng Lin, Hsin Yi Chi, and Min Hsien Hsu

Subjects
Male, Cerebral veins, Hemodynamics, Sensitivity and Specificity, medicine, Humans, Radiology, Nuclear Medicine and imaging, Respiratory system, Internal jugular vein, Sleep Apnea, Obstructive, Ultrasonography, Doppler, Duplex, Radiological and Ultrasound Technology, business.industry, Reproducibility of Results, Sleep apnea, Middle Aged, medicine.disease, Cerebral Veins, Pathophysiology, Obstructive sleep apnea, Cerebrovascular Circulation, Anesthesia, Chronic Disease, cardiovascular system, Female, Jugular Veins, business, Body mass index, Blood Flow Velocity
Abstract

OBJECTIVES Evidence reveals a pathophysiologic link between sleep apnea syndrome and cerebrovascular diseases. It is known that obstructive sleep apnea (OSA) may cause serial hemodynamic changes and structural abnormalities in the cerebral and cardiac arterial systems, but its effect on the cerebral venous system has remained unclear. The purpose of this study was to compare internal jugular vein hemodynamics between patients with OSA and healthy individuals. METHODS Patients with OSA and age-, body mass index-, and sex-matched healthy control participants were recruited for a jugular venous duplex study and neurologic examination. The luminal area of the internal jugular vein, jugular venous flow volume, time-averaged mean velocity, and presence of jugular venous reflux were recorded. These flow characteristics were obtained at different respiratory statuses, and we analyzed the differences between patients and controls. RESULTS In the OSA group, there was an increasing flow volume in total internal jugular veins at rest. The frequency of venous reflux in patients compared with controls was significantly decreased (26.7% versus 53.3%, respectively; P < .05). The internal jugular vein drainage dominance was greater on the left side in the OSA group (right versus left: 48.8% versus 51.2%), whereas it was greater on the right side in the control group (right versus left: 61.7% versus 38.3%). CONCLUSIONS Our data showed peculiar internal jugular vein hemodynamics at baseline and different respiratory statuses in patients with OSA. These characteristics imply that cerebral venous drainage conditions might be involved in the pathophysiologic mechanisms of OSA syndrome.

Published
2015
Full Text
View/download PDF

5. Temporal lobe epilepsy manifests as dementia: a case report

Author

Tsui Hung Hung, Hsiu Ching Hung, Min Hsien Hsu, and Chung Hsin Yeh

Subjects
Psychosis, medicine.medical_specialty, Unusual case, business.industry, Audiology, medicine.disease, Temporal lobe, Psychiatry and Mental health, Epilepsy, Male patient, medicine, Dementia, Pshychiatric Mental Health, business
Abstract

Temporal lobe epilepsy is the most common type of localization-related epilepsy and may manifest as behavior change or psychosis. Sometimes it is hard to diagnose because we are used to thinking about dementia probably. Here we reported an unusual case that a 73 years-old male patient with dementia-like symptoms previously, but finally he was diagnosed as temporal lobe epilepsy by the electrophysiological and radiological finding.

Published
2019
Full Text
View/download PDF

6. Higher stroke incidence in the patients with pancreatic cancer

Author

Bor-Tsang Wu, Ching-Hsiang Lai, Hua Ting, Fung-Chang Sung, Min-Hsien Hsu, Chih-Hsin Muo, Po-Chi Chan, Wei-Lun Chang, Ching-Hsiao Lee, C.-T. Yeh, Chung Y. Hsu, and Ko-Shih Chang

Subjects
medicine.medical_specialty, business.industry, Proportional hazards model, Incidence (epidemiology), Hazard ratio, Cancer, General Medicine, medicine.disease, 03 medical and health sciences, 0302 clinical medicine, 030220 oncology & carcinogenesis, Pancreatic cancer, Internal medicine, Cohort, medicine, business, Stroke, 030217 neurology & neurosurgery, Cohort study
Abstract

No study has investigated the role of pancreatic cancer in the stroke risk using population data. We used claims data obtained from a universal health insurance program of Taiwan to evaluate the stroke risk in pancreatic cancer patients.From the catastrophic disease registry of the insurance, we identified 7479 patients with pancreatic malignancy without stroke history from 2000 to 2009. The comparison cohort consisted of 29,916 individuals identified from 1 million insured people without cancer and stroke history, matching with the cancer cohort by propensity score. We followed each selected individual until stroke was diagnosed or until being censored for death or withdrawal from insurance, or for a maximum of 3 follow-up years, or the end of 2011.The pancreatic cancer cohort had a 2.3-fold greater incident stroke than comparisons had (28.5 vs 12.3 per 1000 person-years), with an adjusted hazard ratio (aHR) of 2.74 (95% confidence interval (CI) = 2.31-3.24) after controlling for covariates, or a subdistribution hazard ratio (SHR) of 2.04 (95% CI = 1.74-2.40) accounting for the competing risk of deaths. During the follow-up period, stroke events occurred constantly in comparisons, but declined rapidly in the cancer cohort. The pancreatic cancer cohort had a stroke incidence of 46.6 per 1000 person-years within 6 months postdiagnosis, with an aHR of 4.37 (95% CI = 3.45-5.54) and a SHR of 3.87 (95% CI = 3.08-4.86), relative to comparisons.Our study suggests that patients with pancreatic cancer are at an elevated risk of stroke, patients deserve sufficient follow-up care, particularly in the first 6 months after the diagnosis of the cancer, and for those with comorbidities.

Published
2018
Full Text
View/download PDF

7. Increased risk of stroke in contact dermatitis patients

Author

Min Hsien Hsu, Wei-Lun Chang, Fung-Chang Sung, Min Tein Tsai, Po Chi Chan, Ko Shih Chang, Chung Y. Hsu, Ching Hsiao Lee, Cheng-Li Lin, and Chung Hsin Yeh

Subjects
medicine.medical_specialty, business.industry, Incidence (epidemiology), Hazard ratio, Retrospective cohort study, General Medicine, Atopic dermatitis, 030204 cardiovascular system & hematology, medicine.disease, Comorbidity, 030207 dermatology & venereal diseases, 03 medical and health sciences, 0302 clinical medicine, Internal medicine, Cohort, medicine, cardiovascular diseases, business, Stroke, Contact dermatitis
Abstract

Dermatologic diseases are not traditional risk factors of stroke, but recent studies show atopic dermatitis, psoriasis, and bullous skin disease may increase the risk of stroke and other cardiovascular diseases. No previous studies have focused on the association between contact dermatitis and stroke.We established a cohort comprised of 48,169 contact dermatitis patients newly diagnosed in 2000-2003 and 96,338 randomly selected subjects without the disorder, frequency matched by sex, age, and diagnosis year, as the comparison cohort. None of them had a history of stroke. Stroke incidence was assessed by the end of 2011 for both cohorts.The incidence stroke was 1.1-fold higher in the contact dermatitis cohort than in the comparison cohort (5.93 vs 5.37 per 1000 person-years, P < 0.01). The multivariable Cox method analyzed adjusted hazard ratios (aHRs) were 1.12 (95% confidence interval [CI], 1.05-1.19) for all stroke types and 1.12 (95% CI, 1.05-1.20) for ischemic stroke and 1.11 (95% CI, 0.94-1.30) for hemorrhagic stroke. The age-specific aHR of stroke for contact dermatitis cohort increased with age, from 1.14 (95% CI, 1.03-1.27) for 65 to 74 years; to 1.27 (95% CI, 1.15-1.42) for 75 years and older. The aHR of stroke were 1.16 (95% CI, 1.07-1.27) and 1.09 (95% CI, 1.00-1.18) for men and women, respectively.This study suggests that patients with contact dermatitis were at a modestly increased risk of stroke, significant for ischemic stroke but not for hemorrhagic stroke. Comorbidity, particularly hypertension, increased the hazard of stroke further.

Published
2017
Full Text
View/download PDF

8. 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

9. Neuropsychological functions in patients with bipolar I and bipolar II disorder

Author

Hui-Chun Chen, I-Hui Lee, Tzung-Lieh Yeh, Yi-Syuan Wu, Jo Yung-Wei Wu, Huei Chen Ko, Sheng Yu Lee, Yen Kuang Yang, Ru Band Lu, Yih-Lynn Hsiao, and Min-Hsien Hsu

Subjects
Adult, Male, medicine.medical_specialty, Bipolar I disorder, Bipolar Disorder, Audiology, Neuropsychological Tests, Bipolar II disorder, Young Adult, Visual memory, Memory, medicine, Humans, Attention, Bipolar disorder, Psychiatry, Biological Psychiatry, Problem Solving, Psychomotor learning, Working memory, Cognition, Middle Aged, medicine.disease, Psychiatry and Mental health, Female, Verbal memory, Psychology, Cognition Disorders
Abstract

Objectives: The literature reports persistent cognitive impairments in patients with bipolar disorder even after prolonged remission. However, a majority of studies have focused only on bipolar I disorder (BP-I), primarily because bipolar II disorder (BP-II) is often underdiagnosed or misdiagnosed. More attention should be paid to the differences between BP-I and BP-II, especially the aspects of neuropsychological functioning. We examined the different neuropsychological functions in BP-I and BP-II patients and compared them with those of healthy controls. Methods: The study included 67 patients with interepisode bipolar disorder (BP-I: n = 30; BP-II: n = 37) and 22 healthy controls compared using a battery of neuropsychological tests that assessed memory, psychomotor speed, and certain aspects of frontal executive function. Results: The BP-I group performed poorly on verbal memory, psychomotor speed, and executive function compared to the BP-II and control groups. Both bipolar groups performed significantly less well than the control group on measures of working memory and psychomotor speed, while the BP-II group showed an intermediate level of performance in psychomotor speed compared to the BP-I and control groups. There was no difference between the groups on visual memory. Conclusions: BP-I was characterized by reduced performance in verbal memory, working memory, psychomotor speed, and executive function, while BP-II patients showed a reduction only in working memory and psychomotor speed. Cognitive impairment existed in both subtypes of bipolar disorder, and was greater in BP-I patients. Rehabilitation interventions should take into account potential cognitive differences between these bipolar subtypes.

Published
2009

Catalog

Books, media, physical & digital resources
See catalog results