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Ampil ER, Ong PA, Krespi Y, Yang YH. A review of SaiLuoTong (MLC-SLT) development in vascular cognitive impairment and dementia. Front Pharmacol 2024; 15:1343820. [PMID: 38751782 PMCID: PMC11094335 DOI: 10.3389/fphar.2024.1343820] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2023] [Accepted: 04/10/2024] [Indexed: 05/18/2024] Open
Abstract
The dementia epidemic, attributed to aging populations, represents a growing socio-economic burden. It is estimated that in 2019 about 55 million people worldwide were living with dementia. With many possible causes of dementia and the possibility of mixed dementia combining Alzheimer's disease (AD) and vascular dementia the question is whether diagnostic uncertainty exists or whether diagnostic constructs based on single etiologies are incorrect. Vascular Cognitive Impairment and Dementia (VCID) designates the extent of cognitive dysfunctions from the most benign state to that of dementia, of vascular origin. We reviewed epidemiological, pathophysiological and clinical data on VCID with a focus on VaD, as well as key data on the development of a new therapeutic solution, SaiLuoTong (MLC-SLT). From documentary research executed on different web sources (PubMed, Clintrials.gov, Z-library and Google), our initial selection for the short review of VCID and VaD was based on keywords contained in each paragraph subtitles of this article with exclusion of publications in a language other than English or published before 2010. For the review of SaiLuoTong development, there was just the language exclusion criterion. Sorted by relevance and publication date, 47 references were selected from 140 shortlisted for review. With new evidence-based classification systems, vascular cognitive impairment was proposed as umbrella term covering all forms of cognitive deficits related to vascular causes. The scope of application expanded with the VCID which includes VaD and mixed pathologies. No drugs are approved for the treatment of VaD by major Western regulatory agencies, while some traditional Chinese medicines are registered in China. VCID treatment should have a dual focus: managing the underlying cerebrovascular disease and dementia symptoms. This is the objective set for the development of the MLC-SLT, the essential data of which are reviewed in detail. To strengthen VCID and VaD research, consensus groups should attempt to consolidate scattered local research initiatives into coordinated international programs. In two VaD clinical trials, MLC-SLT improved cognitive symptoms and activities of daily living, with good safety and potential disease-modifying effect. In a placebo-controlled study in 325 patients with mild to moderate VaD and randomized according to a delayed-start design, MLC-SLT demonstrated significant improvement in memory tests and performance in executive function tasks, expanding its place in the management of VCID. At week 26, changes in VADAS-cog scores (SD) from baseline were 23.25 (0.45) for MLC-SLT 180 mg bid), 23.05 (0.45) for MLC-SLT 120 mg bid (both p < 0.0001), and 20.57 (0.45) for placebo (p = 0.15). At week 52, differences between both groups MLC-SLT and placebo were 2.67 and 2.48, respectively (p < 0.0001), without significant difference between MLC-SLT groups.
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Affiliation(s)
- Encarnita Raya Ampil
- Department of Neuroscience and Behavioral Medicine, Faculty of Medicine and Surgery, University of Santo Tomas, Santo Tomas, Philippines
- Institute for Neurosciences, St. Luke’s Medical Center-Global City Philippines, Taguig, Philippines
| | - Paulus Anam Ong
- Department of Neurology, Hasan Sadikin Hospital, Universitas Padjadjaran, Bandung, Indonesia
| | - Yakup Krespi
- Department of Neurology, İstinye University Hospital, Istanbul, Türkiye
| | - Yuan-Han Yang
- Department of Neurology, Kaohsiung Municipal Ta-Tung Hospital, Kaohsiung Medical University Hospital, Kaohsiung, Taiwan
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Dong L, Zhou WD, Ju L, Zhao HQ, Yang YH, Shao L, Song KM, Wang L, Ma T, Wang YX, Wei WB. [Preliminary study on automatic quantification and grading of leopard spots fundus based on deep learning technology]. Zhonghua Yan Ke Za Zhi 2024; 60:257-264. [PMID: 38462374 DOI: 10.3760/cma.j.cn112142-20231210-00281] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Indexed: 03/12/2024]
Abstract
Objective: To achieve automatic segmentation, quantification, and grading of different regions of leopard spots fundus (FT) using deep learning technology. The analysis includes exploring the correlation between novel quantitative indicators, leopard spot fundus grades, and various systemic and ocular parameters. Methods: This was a cross-sectional study. The data were sourced from the Beijing Eye Study, a population-based longitudinal study. In 2001, a group of individuals aged 40 and above were surveyed in five urban communities in Haidian District and three rural communities in Daxing District of Beijing. A follow-up was conducted in 2011. This study included individuals aged 50 and above who participated in the second 5-year follow-up in 2011, considering only the data from the right eye. Color fundus images centered on the macula of the right eye were input into the leopard spot segmentation model and macular detection network. Using the macular center as the origin, with inner circle diameters of 1 mm, 3 mm, and outer circle diameter of 6 mm, fine segmentation of the fundus was achieved. This allowed the calculation of the leopard spot density (FTD) and leopard spot grade for each region. Further analyses of the differences in ocular and systemic parameters among different regions' FTD and leopard spot grades were conducted. The participants were categorized into three refractive types based on equivalent spherical power (SE): myopia (SE<-0.25 D), emmetropia (-0.25 D≤SE≤0.25 D), and hyperopia (SE>0.25 D). Based on axial length, the participants were divided into groups with axial length<24 mm, 24-26 mm, and>26 mm for the analysis of different types of FTD. Statistical analyses were performed using one-way analysis of variance, Kruskal-Wallis test, Bonferroni test, and Spearman correlation analysis. Results: The study included 3 369 participants (3 369 eyes) with an average age of (63.9±10.6) years; among them, 1 886 were female (56.0%) and 1, 483 were male (64.0%). The overall FTD for all eyes was 0.060 (0.016, 0.163); inner circle FTD was 0.000 (0.000, 0.025); middle circle FTD was 0.030 (0.000, 0.130); outer circle FTD was 0.055 (0.009, 0.171). The results of the univariate analysis indicated that FTD in various regions was correlated with axial length (overall: r=0.38, P<0.001; inner circle: r=0.31, P<0.001; middle circle: r=0.36, P<0.001; outer circle: r=0.39, P<0.001), subfoveal choroidal thickness (SFCT) (overall: r=-0.69, P<0.001; inner circle: r=-0.57, P<0.001; middle circle: r=-0.68, P<0.001; outer circle: r=-0.72, P<0.001), age (overall: r=0.34, P<0.001; inner circle: r=0.30, P<0.001; middle circle: r=0.31, P<0.001; outer circle: r=0.35, P<0.001), gender (overall: r=-0.11, P<0.001; inner circle: r=-0.04, P<0.001; middle circle: r=-0.07, P<0.001; outer circle: r=-0.11, P<0.001), SE (overall: r=-0.20; P<0.001; inner circle: r=-0.19, P<0.001; middle circle: r=-0.20, P<0.001; outer circle: r=-0.20, P<0.001), uncorrected visual acuity (overall: r=-0.18, P<0.001; inner circle: r=-0.26, P<0.001; middle circle: r=-0.24, P<0.001; outer circle: r=-0.22, P<0.001), and body mass index (BMI) (overall: r=-0.11, P<0.001; inner circle: r=-0.13, P<0.001; middle circle: r=-0.14, P<0.001; outer circle: r=-0.13, P<0.001). Further multivariate analysis results indicated that different region FTD was correlated with axial length (overall: β=0.020, P<0.001; inner circle: β=-0.022, P<0.001; middle circle: β=0.027, P<0.001; outer circle: β=0.022, P<0.001), SFCT (overall: β=-0.001, P<0.001; inner circle: β=-0.001, P<0.001; middle circle: β=-0.001, P<0.001; outer circle: β=-0.001, P<0.001), and age (overall: β=0.002, P<0.001; inner circle: β=0.001, P<0.001; middle circle: β=0.002, P<0.001; outer circle: β=0.002, P<0.001). The distribution of overall (H=56.76, P<0.001), inner circle (H=72.22, P<0.001), middle circle (H=75.83, P<0.001), and outer circle (H=70.34, P<0.001) FTD differed significantly among different refractive types. The distribution of overall (H=373.15, P<0.001), inner circle (H=367.67, P<0.001), middle circle (H=389.14, P<0.001), and outer circle (H=386.89, P<0.001) FTD differed significantly among different axial length groups. Furthermore, comparing various levels of FTD with systemic and ocular parameters, significant differences were found in axial length (F=142.85, P<0.001) and SFCT (F=530.46, P<0.001). Conclusions: The use of deep learning technology enables automatic segmentation and quantification of different regions of theFT, as well as preliminary grading. Different region FTD is significantly correlated with axial length, SFCT, and age. Individuals with older age, myopia, and longer axial length tend to have higher FTD and more advanced FT grades.
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Affiliation(s)
- L Dong
- Beijing Tongren Eye Center, Beijing Tongren Hospital, Capital Medical University, Beijing Institute of Ophthalmology, Beijing Key Laboratory of Ophthalmology & Visual Sciences, Beijing 100730, China
| | - W D Zhou
- Beijing Tongren Eye Center, Beijing Tongren Hospital, Capital Medical University, Beijing Institute of Ophthalmology, Beijing Key Laboratory of Ophthalmology & Visual Sciences, Beijing 100730, China
| | - L Ju
- Beijing Airdoc Technology Co, Ltd, Beijing 100029, China
| | - H Q Zhao
- Beijing Tongren Eye Center, Beijing Tongren Hospital, Capital Medical University, Beijing Institute of Ophthalmology, Beijing Key Laboratory of Ophthalmology & Visual Sciences, Beijing 100730, China
| | - Y H Yang
- Beijing Tongren Eye Center, Beijing Tongren Hospital, Capital Medical University, Beijing Institute of Ophthalmology, Beijing Key Laboratory of Ophthalmology & Visual Sciences, Beijing 100730, China
| | - L Shao
- Beijing Tongren Eye Center, Beijing Tongren Hospital, Capital Medical University, Beijing Institute of Ophthalmology, Beijing Key Laboratory of Ophthalmology & Visual Sciences, Beijing 100730, China
| | - K M Song
- Beijing Airdoc Technology Co, Ltd, Beijing 100029, China
| | - L Wang
- Beijing Airdoc Technology Co, Ltd, Beijing 100029, China
| | - T Ma
- Beijing Airdoc Technology Co, Ltd, Beijing 100029, China
| | - Y X Wang
- Beijing Tongren Eye Center, Beijing Tongren Hospital, Capital Medical University, Beijing Institute of Ophthalmology, Beijing Key Laboratory of Ophthalmology & Visual Sciences, Beijing 100730, China
| | - W B Wei
- Beijing Tongren Eye Center, Beijing Tongren Hospital, Capital Medical University, Beijing Institute of Ophthalmology, Beijing Key Laboratory of Ophthalmology & Visual Sciences, Beijing 100730, China
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Wei CB, He F, Tang JC, Yang YH, Deng XL, Liu FX. [Atypical extraosseous Ewing's sarcoma of sinonasal cranial base: a case report]. Zhonghua Er Bi Yan Hou Tou Jing Wai Ke Za Zhi 2024; 59:256-259. [PMID: 38561266 DOI: 10.3760/cma.j.cn115330-20230811-00040] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Indexed: 04/04/2024]
Affiliation(s)
- C B Wei
- Department of Otorhinolaryngology Head and Neck Surgery, Affiliated Hospital of Guilin Medical College, Guilin 541001, China
| | - F He
- Department of Otorhinolaryngology Head and Neck Surgery, Affiliated Hospital of Guilin Medical College, Guilin 541001, China
| | - J C Tang
- Department of Otorhinolaryngology Head and Neck Surgery, Affiliated Hospital of Guilin Medical College, Guilin 541001, China
| | - Y H Yang
- Department of Otorhinolaryngology Head and Neck Surgery, Affiliated Hospital of Guilin Medical College, Guilin 541001, China
| | - X L Deng
- Department of Otorhinolaryngology Head and Neck Surgery, Affiliated Hospital of Guilin Medical College, Guilin 541001, China
| | - F X Liu
- Department of Otorhinolaryngology Head and Neck Surgery, Affiliated Hospital of Guilin Medical College, Guilin 541001, China
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Wang W, Gong JN, Wang JF, Ding Y, Zhang YX, Liu JY, Yang YH. [Hemodynamic changes with serial balloon pulmonary angioplasty in chronic thromboembolic pulmonary hypertension]. Zhonghua Jie He He Hu Xi Za Zhi 2024; 47:120-125. [PMID: 38309960 DOI: 10.3760/cma.j.cn112147-20231016-00237] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Indexed: 02/05/2024]
Abstract
Objective: To monitor hemodynamic changes during serial balloon pulmonary angioplasty (BPA) for chronic thromboembolic pulmonary hypertension (CTEPH). Methods: General clinical data of CTEPH patients diagnosed from October 2017 to January 2022 in Beijing Chaoyang Hospital were collected, and 83 patients who underwent at least 1 BPA treatment were included to analyze their 6 min walking distance, WHO functional class, N-terminal B-type natriuretic peptide precursor (NT-proBNP), troponin I (cTnI) and haemodynamic indices. Baseline and follow-up after the final BPA clinical data and hemodynamics, functional status and serial hemodynamics before each series of BPA were collected to evaluate the efficacy of BPA for CTEPH patients. Complications and managements were documented to confirm the safety of BPA for CTEPH patients. Results: Three hundred and forty BPA procedures were performed in 83 CTEPH patients. The median number of BPA procedures was 4.0 and a total of 2104 vessels were dilated. In general, mPAP [from 50.0(42.0-55.25) mmHg(1 mmHg=0.133 kPa) to 32.0(27.0-42.0) mmHg, P<0.001], PVR[from (806.6±323.2) dyn·s·cm-5 to 420.0(295.0-613.5) dyn·s·cm-5, P<0.001] were significantly improved compared with baseline, but not CO and CI. Functional parameters including WHO functional class Ⅰ/Ⅱ/Ⅲ/Ⅳ (from 0/35/34/14 to 43/32/7/1, P<0.001), 6MWD [from 364.5(300.0-429.5)m to 461.0(409.0-501.0)m, P<0.001], NT-proBNP [from 1 357.0(232.0-2 715.0) ng/L to 141.0(57.0-627.8) ng/L,P<0.001] were significantly improved compared with baseline. A cumulative (compared to baseline) and serial (compared to preceding BPA session) analysis of the sequential BPA session confirmed that a major hemodynamic improvement in PVR and mPAP occurred in the first 3 serial BPA treatments. There was a dose-response relationship: the more segments that were treated, the greater were the subsequent reduction in PVR and mPAP. There were 32.0 complications (9.4%) associated with BPA procedures, and the most common complication was pulmonary hemorrhage caused by catheter-related vascular injury. Conclusions: BPA is an effective and safe alternative for technically non-operable CTEPH patients. The hemodynamic benefits of BPA in CTEPH patients were cumulative and correlated with the total number of vessels successfully dilated.
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Affiliation(s)
- W Wang
- Department of Respiratory and Critical Care Medicine, Beijing Chaoyang Hospital, Capital Medical University, Beijing Institute of Respiratory and Medicine, Beijing 100020, China
| | - J N Gong
- Department of Respiratory and Critical Care Medicine, Beijing Chaoyang Hospital, Capital Medical University, Beijing Institute of Respiratory and Medicine, Beijing 100020, China
| | - J F Wang
- Department of Interventional Medicine, Beijing Chaoyang Hospital, Capital Medical University, Beijing 100020, China
| | - Y Ding
- Department of Respiratory and Critical Care Medicine, Beijing Chaoyang Hospital, Capital Medical University, Beijing Institute of Respiratory and Medicine, Beijing 100020, China
| | - Y X Zhang
- Department of Respiratory and Critical Care Medicine, Beijing Chaoyang Hospital, Capital Medical University, Beijing Institute of Respiratory and Medicine, Beijing 100020, China
| | - J Y Liu
- Department of Respiratory and Critical Care Medicine, Beijing Chaoyang Hospital, Capital Medical University, Beijing Institute of Respiratory and Medicine, Beijing 100020, China
| | - Y H Yang
- Department of Respiratory and Critical Care Medicine, Beijing Chaoyang Hospital, Capital Medical University, Beijing Institute of Respiratory and Medicine, Beijing 100020, China
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Gao AL, Gong JN, Li JF, Yang YH. [A case of heritable pulmonary arterial hypertension treated with long-term oral low-dose imatinib]. Zhonghua Jie He He Hu Xi Za Zhi 2024; 47:36-38. [PMID: 38062692 DOI: 10.3760/cma.j.cn112147-20230918-00165] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Indexed: 12/30/2023]
Abstract
Heritable pulmonary arterial hypertension (HPAH) is a rare type of pulmonary arterial hypertension that often presents with progressive exertional dyspnea and for which there is no significant effective drug. A HPAH patient was admitted to our hospital more than three years ago, and the gene mutation was bone morphogenetic protein 2 (BMPR2). For the first 45 months, she was given oral imatinib 100 mg once daily, and her symptoms and hemodynamics improved significantly, with no apparent side effects. It is reported that, in combination with the characteristics of the case and related literatures, it provides clinicians with other feasible treatment options for HPAH.
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Affiliation(s)
- A L Gao
- Department of Respiratory and Critical Care Medicine, Beijing Institute of Respiratory Medicine and Beijing Chao-Yang Hospital, Capital Medical University, Beijing 100020, China
| | - J N Gong
- Department of Respiratory and Critical Care Medicine, Beijing Institute of Respiratory Medicine and Beijing Chao-Yang Hospital, Capital Medical University, Beijing 100020, China
| | - J F Li
- Department of Respiratory and Critical Care Medicine, Beijing Institute of Respiratory Medicine and Beijing Chao-Yang Hospital, Capital Medical University, Beijing 100020, China
| | - Y H Yang
- Department of Respiratory and Critical Care Medicine, Beijing Institute of Respiratory Medicine and Beijing Chao-Yang Hospital, Capital Medical University, Beijing 100020, China
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Li KY, Lin BT, Hsu ST, Chien CF, Chang YP, Yang YH. Quetiapine Oral Solution in Alzheimer's Disease: Efficacy and Dosage Insights from a Real-World Retrospective Study. J Alzheimers Dis 2024; 97:805-811. [PMID: 38143365 DOI: 10.3233/jad-231007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/26/2023]
Abstract
BACKGROUND Neuropsychiatric symptoms (NPS) are distressing for patients with dementia, often accelerating functional decline and nursing home placement. Medications such as quetiapine are used to alleviate NPS, but their side effects require cautious use. Liquid formulations such as quetiapine oral suspension suit specific populations; however, real-world data on their use in patients with dementia are limited. OBJECTIVE The purpose of this retrospective, naturalistic study was to provide preliminary data on the effects of treatment with quetiapine oral suspension on behavioral and psychiatric disturbances in Alzheimer's disease (AD) outpatients in Taiwan. METHODS Between January 2022 and June 2023, data were collected from outpatients with a diagnosis of probable AD who received treatment with Qting® (quetiapine oral solution 25 mg/ml). Primary outcome measures were changes in Neuropsychiatric Inventory (NPI) total score and its sub-items from baseline to the endpoint. RESULTS We recruited 66 AD patients with a mean age of 72.1±7.6 years, most of whom were female (69.7%). Twenty-three patients had data on neuropsychological test and NPI scores before and after quetiapine treatment. There was no significant change in global cognitive function from baseline to the endpoint. A significant reduction in NPI total score after quetiapine treatment was noted, while the effect on NPI sub-items was limited. The average maintenance dose was 1.5±0.6 ml. CONCLUSIONS We demonstrated our clinical experience of the use of quetiapine oral solution in AD patients with NPS. Our results showed that quetiapine oral solution treatment significantly improved these symptoms at a relatively low dose.
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Affiliation(s)
- Kuan-Ying Li
- Department of Neurology, Kaohsiung Municipal Ta-Tung Hospital, Kaohsiung Medical University Hospital, Kaohsiung, Taiwan
- Department of Neurology, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung, Taiwan
- Neuroscience Research Center, Kaohsiung Medical University, Kaohsiung, Taiwan
| | - Bin-Tse Lin
- School of Post-Baccalaureate Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan
| | - Shu-Ting Hsu
- School of Pharmacy, College of Pharmacy, Kaohsiung Medical University, Kaohsiung, Taiwan
| | - Ching-Fang Chien
- Department of Neurology, Kaohsiung Municipal Ta-Tung Hospital, Kaohsiung Medical University Hospital, Kaohsiung, Taiwan
- Department of Neurology, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung, Taiwan
- Neuroscience Research Center, Kaohsiung Medical University, Kaohsiung, Taiwan
| | - Yang-Pei Chang
- Department of Neurology, Kaohsiung Municipal Ta-Tung Hospital, Kaohsiung Medical University Hospital, Kaohsiung, Taiwan
- Department of Neurology, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung, Taiwan
- Neuroscience Research Center, Kaohsiung Medical University, Kaohsiung, Taiwan
| | - Yuan-Han Yang
- Department of Neurology, Kaohsiung Municipal Ta-Tung Hospital, Kaohsiung Medical University Hospital, Kaohsiung, Taiwan
- Department of Neurology, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung, Taiwan
- Neuroscience Research Center, Kaohsiung Medical University, Kaohsiung, Taiwan
- School of Post-Baccalaureate Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan
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Wu SH, Lin CF, Lu IC, Yeh MS, Hsu CC, Yang YH. Association between pain and cognitive and daily functional impairment in older institutional residents: a cross-sectional study. BMC Geriatr 2023; 23:756. [PMID: 37980463 PMCID: PMC10657596 DOI: 10.1186/s12877-023-04337-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2021] [Accepted: 09/20/2023] [Indexed: 11/20/2023] Open
Abstract
BACKGROUND Pain is often neglected in disabled older population, especially in Taiwan where the population of institutional residents is rapidly growing. Our study aimed to investigate pain prevalence and associated factors among institutional residents to improve pain assessment and management. METHODS This nationwide study recruited 5,746 institutional residents in Taiwan between July 2019 and February 2020. Patient self-report was considered the most valid and reliable indicator of pain. A 5-point verbal rating scale was used to measure pain intensity, with a score ranging from 2 to 5 indicating the presence of pain. Associated factors with pain, including comorbidities, functional dependence, and quality of life, were also assessed. RESULTS The mean age of the residents was 77.1 ± 13.4 years, with 63.1% of them aged over 75 years. Overall, 40.3% of the residents reported pain, of whom 51.2% had moderate to severe pain. Pain was more common in residents with comorbidities and significantly impacted emotions and behavior problems, and the mean EQ5D score, which is a measure of health-related quality of life (p < .001). Interestingly, pain was only related to instrumental activities of daily living (IADL) and not activities of daily living (ADL). On the other hand, dementia was significantly negatively associated with pain (p < .001), with an estimated odds of 0.63 times (95% CI: 0.53-0.75) for the presence of pain when compared to residents who did not have dementia. CONCLUSIONS Unmanaged pain is common among institutional residents and is associated with comorbidities, IADL, emotional/behavioral problems, and health-related quality of life. Older residents may have lower odds of reporting pain due to difficulty communicating their pain, even through the use of a simple 5-point verbal rating scale. Therefore, more attention and effort should be directed towards improving pain evaluation in this vulnerable population .
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Affiliation(s)
- Sheng-Hua Wu
- Department of Anesthesiology, Kaohsiung Municipal Ta-Tung Hospital, Kaohsiung, Taiwan
- Department of Anesthesiology, Kaohsiung Medical University Hospital, Kaohsiung, Taiwan
- Department of Anesthesiology, School of Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan
| | - Chung-Fen Lin
- Institute of Population Health Sciences, National Health Research Institutes, 35 Keyan Road, Zhunan, Miaoli County, 35053, Taiwan
| | - I-Cheng Lu
- Department of Anesthesiology, Kaohsiung Medical University Hospital, Kaohsiung, Taiwan
- Department of Anesthesiology, School of Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan
- Department of Anesthesiology, Kaohsiung Municipal Siaogang Hospital, Kaohsiung, Kaohsiung, Taiwan
| | - Ming-Sung Yeh
- Department of Anesthesiology, Kaohsiung Municipal Ta-Tung Hospital, Kaohsiung, Taiwan
- Department of Anesthesiology, Kaohsiung Medical University Hospital, Kaohsiung, Taiwan
| | - Chin-Cheng Hsu
- Institute of Population Health Sciences, National Health Research Institutes, 35 Keyan Road, Zhunan, Miaoli County, 35053, Taiwan.
- Department of Family Medicine, Min-Sheng General Hospital, Taoyuan, Taiwan.
- Department of Health Services Administration, China Medical University, Taichung, Taiwan.
- Center for Geriatrics and Welfare Research, National Health Research Institutes, Yunlin, Taiwan.
| | - Yuan-Han Yang
- Department of Neurology, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung, Taiwan.
- Neuroscience Research Center, Kaohsiung Medical University, Kaohsiung, Taiwan.
- Department of Neurology, Kaohsiung Municipal Ta-Tung Hospital, No. 68, Jhonghua 3Rd Road, Cianjin District, Kaohsiung, 80145, Taiwan.
- Post Baccalaureat Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan.
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Wu HC, Lu PL, Yang YH, Feng MC. Prevalence and the associated factors of cognitive impairment among people living with HIV in Taiwan: a cross-sectional study. AIDS Care 2023; 35:1647-1653. [PMID: 37186954 DOI: 10.1080/09540121.2023.2206094] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2022] [Accepted: 04/17/2023] [Indexed: 05/17/2023]
Abstract
Cognitive impairment impacts the quality of life and increases morbidity and mortality rates. The prevalence of and factors associated with cognitive impairment have become important issues as the age of people living with HIV(PLWH) increases. In 2020, We conducted a cross-sectional study to survey the cognitive impairment among PLWH in three hospitals in Taiwan with Alzheimer Disease-8 (AD8) questionnaire. The average age of 1,111 individuals was 37.54 ± 10.46 years old, and their average duration to live with HIV was 7.12 ± 4.85 years. The rate of impaired cognitive function was 2.25% (N = 25) when AD8 score ≥ 2 was a positive finding for cognitive impairment. Aging (p = .012), being less educated (p = 0.010), and having a longer duration to live with HIV (p = .025) were significantly associated with cognitive impairment. Multivariate logistic regression analysis revealed that only the duration of living with HIV was a significant factor related to the tendency of cognitive impairment (p = .032). The risk of cognitive impairment increased by 1.098 times for every additional year to live with HIV. In conclusion, the prevalence of cognitive impairment among PLWH in Taiwan was 2.25%. Healthcare personnel should be sensitive to the changes in PLWH's cognitive function as they age.
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Affiliation(s)
- Hsiang-Chun Wu
- Department of Nursing, Kaohsiung Municipal Siaogang Hospital, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung, Taiwan
| | - Po-Liang Lu
- Division of Infectious Diseases, Department of Internal Medicine, Kaohsiung Medical University Hospital, Kaohsiung, Taiwan
- School of Post-Baccalaureate Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan
- Center for Liquid Biopsy and Cohort Research, Kaohsiung Medical University, Kaohsiung, Taiwan
| | - Yuan-Han Yang
- Department of Neurology, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung, Taiwan
- Department of Neurology, Kaohsiung Municipal Ta-Tung Hospital, Kaohsiung Medical University Hospital, Kaohsiung, Taiwan
- Department of and Master's Program in Neurology, Faculty of Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan
- Neuroscience Research Center, Kaohsiung Medical University, Kaohsiung, Taiwan
| | - Ming-Chu Feng
- Department of Nursing, Kaohsiung Municipal Siaogang Hospital, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung, Taiwan
- College of Nursing, Fooyin University, Kaohsiung City, Taiwan
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9
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Yang YH, Xu RQ, Zhang RF, Wei YS, Hong L, Sun J, Cong T, Xia YL. [Screening for asymptomatic atrial fibrillation in elder community populations in Dalian: a single center study]. Zhonghua Xin Xue Guan Bing Za Zhi 2023; 51:1056-1062. [PMID: 37859357 DOI: 10.3760/cma.j.cn112148-20230819-00097] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 10/21/2023]
Abstract
Objective: We aimed to determine the epidemiological characteristics of asymptomatic AF in elder community population (≥65 years old) to analyze the detection rate of different screening methods. Methods: The study was a prospective cohort study. The elder (≥65 years old) residents who voluntarily participated in free physical examination in Dalian community were selected. The participants were randomly divided into screening group (including intensive screening group and single screening group) and control group. The control group received interrogation, medical history collection and routine 12-lead electrocardiogram (ECG) examination. Screening group received an additional single-lead ambulatory ECG equipment worn for 5-7 days. Intensive screening group received two equal-length wearings in 2020 and 2021 respectively, while one screening group only wore once in 2020. Results: Finally 3 340 residents ((70.7±5.0) years old) which consisted of 1 488 males (44.55%) were enrolled. There were 1 945 residents in screening group, including 859 in intensive screening group and 1 086 in one-time screening group. The control group included 1 395 people. Detection rate of asymptomatic AF was significantly higher in screening group than control group (79(4.06%) vs. 24(1.72%), P<0.001). Higher detection rate was found in screening group than control group in AF risk factors (1 or 2-3) subgroups and CHA2DS2-VASc score (2-3 or≥4) subgroups (P<0.05). Additionally, no difference was found between intensive screening group and single screening group (42(4.89%) vs. 37(3.41%), P=0.100). Intensive screening increased detection rate (7(6.93%) vs. 1(0.58%), P=0.009) only in residents those with low thrombosis risk (CHA2DS2-VaSc<2). Conclusions: Screening in elderly (≥65 years old) can significantly improve the detection rate of asymptomatic AF by wearing single lead dynamic ECG device. The rate increased significantly with the increase of risk factors associated with AF by single screening. In addition, repeat screening of the same method may only improve detection rates in the group with low risk thrombotic scores and non-combination of AF risk factors.Screening methods that are appropriate for different populations may require further exploration.
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Affiliation(s)
- Y H Yang
- Department of Cardiology, the First Affiliated Hospital of Dalian Medical University, Dalian 116011, China
| | - R Q Xu
- Department of Cardiology, the First Affiliated Hospital of Dalian Medical University, Dalian 116011, China
| | - R F Zhang
- Department of Cardiology, the First Affiliated Hospital of Dalian Medical University, Dalian 116011, China
| | - Y S Wei
- Department of Scientific Research, the First Affiliated Hospital of Dalian Medical University, Dalian 116011, China
| | - L Hong
- Electrocardiogram (ECG) Examination Center, the First Affiliated Hospital of Dalian Medical University, Dalian 116011, China
| | - J Sun
- Longpan Jinquan Community Health Service Center, Ganjingzi District, Dalian, Dalian 116033, China
| | - T Cong
- Intracardiac ultrasound room, the First Affiliated Hospital of Dalian Medical University, Dalian 116011, China
| | - Y L Xia
- Department of Cardiology, the First Affiliated Hospital of Dalian Medical University, Dalian 116011, China
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10
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Chien CF, Sung JL, Wang CP, Yen CW, Yang YH. Analyzing Facial Asymmetry in Alzheimer's Dementia Using Image-Based Technology. Biomedicines 2023; 11:2802. [PMID: 37893175 PMCID: PMC10604711 DOI: 10.3390/biomedicines11102802] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2023] [Revised: 10/12/2023] [Accepted: 10/13/2023] [Indexed: 10/29/2023] Open
Abstract
Several studies have demonstrated accelerated brain aging in Alzheimer's dementia (AD). Previous studies have also reported that facial asymmetry increases with age. Because obtaining facial images is much easier than obtaining brain images, the aim of this work was to investigate whether AD exhibits accelerated aging patterns in facial asymmetry. We developed new facial asymmetry measures to compare Alzheimer's patients with healthy controls. A three-dimensional camera was used to capture facial images, and 68 facial landmarks were identified using an open-source machine-learning algorithm called OpenFace. A standard image registration method was used to align the three-dimensional original and mirrored facial images. This study used the registration error, representing landmark superimposition asymmetry distances, to examine 29 pairs of landmarks to characterize facial asymmetry. After comparing the facial images of 150 patients with AD with those of 150 age- and sex-matched non-demented controls, we found that the asymmetry of 20 landmarks was significantly different in AD than in the controls (p < 0.05). The AD-linked asymmetry was concentrated in the face edge, eyebrows, eyes, nostrils, and mouth. Facial asymmetry evaluation may thus serve as a tool for the detection of AD.
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Affiliation(s)
- Ching-Fang Chien
- Department of Neurology, Kaohsiung Municipal Ta-Tung Hospital, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung 80756, Taiwan
- Department of Neurology, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung 80756, Taiwan
| | - Jia-Li Sung
- Department of Mechanical and Electromechanical Engineering, National Sun Yat-sen University, Kaohsiung 80424, Taiwan
| | - Chung-Pang Wang
- Department of Mechanical and Electromechanical Engineering, National Sun Yat-sen University, Kaohsiung 80424, Taiwan
| | - Chen-Wen Yen
- Department of Mechanical and Electromechanical Engineering, National Sun Yat-sen University, Kaohsiung 80424, Taiwan
- Department of and Master’s Program in Neurology, Faculty of Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung 80708, Taiwan
- Neuroscience Research Center, Kaohsiung Medical University, Kaohsiung 80708, Taiwan
| | - Yuan-Han Yang
- Department of Neurology, Kaohsiung Municipal Ta-Tung Hospital, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung 80756, Taiwan
- Department of Neurology, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung 80756, Taiwan
- Department of and Master’s Program in Neurology, Faculty of Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung 80708, Taiwan
- Neuroscience Research Center, Kaohsiung Medical University, Kaohsiung 80708, Taiwan
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11
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Yeh WC, Hsu CY, Li KY, Chien CF, Huang LC, Yang YH. Association between subclinical epileptiform discharge and the behavioral and psychological symptoms in patients with Alzheimer's dementia. Int J Geriatr Psychiatry 2023; 38:e6013. [PMID: 37817385 DOI: 10.1002/gps.6013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/06/2023] [Accepted: 09/25/2023] [Indexed: 10/12/2023]
Abstract
OBJECTIVES Behavioral and psychological symptoms of dementia (BPSD) are highly prevalent in patients with Alzheimer's disease (AD), causing burdens on caregivers. Behavioral and psychological symptoms of dementia and subclinical epileptiform discharge (SED) increased with the disease course of AD. However, the interaction between them was still unknown. The present study aimed to evaluate the associations between SED and BPSD. METHODS/DESIGN Patients with AD from Kaohsiung Municipal Ta-tung Hospital were included in this study. International 10-20 system scalp electroencephalography (EEG) for 13 min was performed to detect SED. Behavioral and psychological symptoms of dementia was assessed by neuropsychiatric inventory (NPI) questionnaires. The occurrence of BPSD subsyndromes was compared between patients with and without SED. RESULTS Two hundred sixty-three adult patients qualified for the inclusion criteria and were enrolled in this study. The mean age of patients was 80.2 years, and approximately 62% were women. 17.1% of patients showed SED on EEG. Apathy was the most commonly reported BPSD subsyndrome in this cohort. There was no significant difference in the prevalence of BPSD between patients with and without SED. (75.6% vs. 67.4%, p = 0.2806). However, the NPI score of irritability subsyndrome was significantly higher in the SED (+) group (2.6 ± 3.7 vs. 1.2 ± 2.7, p = 0.0028). In addition, subclinical epileptiform discharge in the frontal lobe was associated with a considerably higher occurrence of hyperactivity subsyndrome, including irritability. CONCLUSIONS SED may not be a direct cause of BPSD, but the presence of SED may affect the manifestation of BPSD.
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Affiliation(s)
- Wei-Chih Yeh
- Graduate Institute of Clinical Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan
- Department of Neurology, Kaohsiung Municipal Ta-Tung Hospital, Kaohsiung Medical University, Kaohsiung, Taiwan
| | - Chung-Yao Hsu
- Department of Neurology, College of Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan
- Department of Neurology, Kaohsiung Medical University Hospital, Kaohsiung, Taiwan
| | - Kuan-Ying Li
- Department of Neurology, Kaohsiung Municipal Ta-Tung Hospital, Kaohsiung Medical University, Kaohsiung, Taiwan
- Neuroscience Research Center, Kaohsiung Medical University, Kaohsiung, Taiwan
| | - Ching-Fang Chien
- Department of Neurology, Kaohsiung Municipal Ta-Tung Hospital, Kaohsiung Medical University, Kaohsiung, Taiwan
- Neuroscience Research Center, Kaohsiung Medical University, Kaohsiung, Taiwan
| | - Ling-Chun Huang
- Department of Neurology, Kaohsiung Municipal Ta-Tung Hospital, Kaohsiung Medical University, Kaohsiung, Taiwan
- Neuroscience Research Center, Kaohsiung Medical University, Kaohsiung, Taiwan
| | - Yuan-Han Yang
- Department of Neurology, Kaohsiung Municipal Ta-Tung Hospital, Kaohsiung Medical University, Kaohsiung, Taiwan
- Neuroscience Research Center, Kaohsiung Medical University, Kaohsiung, Taiwan
- Post-baccalaureate Medicine, Kaohsiung Medical, University, Kaohsiung, Taiwan
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12
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Ablikim M, Achasov MN, Adlarson P, Ahmed S, Albrecht M, Aliberti R, Amoroso A, An Q, Bai Y, Bakina O, Ferroli RB, Balossino I, Ban Y, Begzsuren K, Berger N, Bertani M, Bettoni D, Bianchi F, Bloms J, Bortone A, Boyko I, Briere RA, Cai H, Cai X, Calcaterra A, Cao GF, Cao N, Cetin SA, Chang JF, Chang WL, Chelkov G, Chen G, Chen HS, Chen ML, Chen SJ, Chen XR, Chen YB, Chen ZJ, Cheng WS, Cibinetto G, Cossio F, Dai HL, Dai JP, Dai XC, Dbeyssi A, de Boer RE, Dedovich D, Deng ZY, Denig A, Denysenko I, Destefanis M, De Mori F, Ding Y, Dong J, Dong LY, Dong MY, Dong X, Du SX, Fang J, Fang SS, Fang Y, Farinelli R, Fava L, Feldbauer F, Felici G, Feng CQ, Fritsch M, Fu CD, Gao YN, Gao Y, Gao Y, Garzia I, Gersabeck EM, Gilman A, Goetzen K, Gong L, Gong WX, Gradl W, Greco M, Gu LM, Gu MH, Gu S, Gu YT, Guan CY, Guo AQ, Guo LB, Guo RP, Guo YP, Guskov A, Han TT, Hao XQ, Harris FA, He KL, Heinsius FHH, Heinz CH, Heng YK, Herold C, Himmelreich M, Holtmann T, Hou YR, Hou ZL, Hu HM, Hu JF, Hu T, Hu Y, Huang GS, Huang LQ, Huang XT, Huang YP, Hussain T, Imoehl W, Irshad M, Jaeger S, Janchiv S, Ji Q, Ji QP, Ji XB, Ji XL, Jiang XS, Jiao JB, Jiao Z, Jin S, Jin Y, Johansson T, Kalantar-Nayestanaki N, Kang XS, Kappert R, Kavatsyuk M, Ke BC, Keshk IK, Khoukaz A, Kiese P, Kiuchi R, Kliemt R, Kolcu OB, Kopf B, Kuemmel M, Kuessner MK, Kupsc A, Kurth MG, Kühn W, Lane JJ, Larin P, Lavania A, Lavezzi L, Lei ZH, Leithoff H, Lellmann M, Lenz T, Li C, Li CH, Li C, Li DM, Li F, Li G, Li H, Li HB, Li HJ, Li JQ, Li JW, Li K, Li LK, Li L, Li PL, Li PR, Li SY, Li WD, Li WG, Li XH, Li XL, Li ZY, Liang H, Liang H, Liang H, Liang YF, Liang YT, Liao GR, Liao LZ, Libby J, Limphirat A, Liu BJ, Liu CX, Liu D, Liu FH, Liu F, Liu F, Liu HB, Liu HM, Liu H, Liu H, Liu JB, Liu JY, Liu K, Liu KY, Liu L, Liu MH, Liu Q, Liu SB, Liu S, Liu T, Liu WM, Liu X, Liu YB, Liu ZA, Liu ZQ, Lou XC, Lu FX, Lu HJ, Lu JD, Lu JG, Lu XL, Lu Y, Lu YP, Luo CL, Luo MX, Luo T, Luo XL, Lusso S, Lyu XR, Ma FC, Ma HL, Ma LL, Ma MM, Ma QM, Ma RQ, Ma RT, Ma XX, Ma XY, Maas FE, Maggiora M, Maldaner S, Malde S, Malik QA, Mangoni A, Mao YJ, Mao ZP, Marcello S, Meng ZX, Messchendorp JG, Mezzadri G, Min TJ, Mitchell RE, Mo XH, Muchnoi NY, Muramatsu H, Nakhoul S, Nefedov Y, Nerling F, Nikolaev IB, Ning Z, Nisar S, Olsen SL, Ouyang Q, Pacetti S, Pan X, Pan Y, Pathak A, Patteri P, Pelizaeus M, Peng HP, Peters K, Ping JL, Ping RG, Pitka A, Poling R, Prasad V, Qi H, Qi HR, Qi M, Qi TY, Qian S, Qian WB, Qiao CF, Qin LQ, Qin XP, Qin XS, Qin ZH, Qiu JF, Qu SQ, Qu SQ, Ravindran K, Redmer CF, Rivetti A, Rodin V, Rolo M, Rong G, Rosner C, Sarantsev A, Schelhaas Y, Schnier C, Schoenning K, Scodeggio M, Shan DC, Shan W, Shan XY, Shao M, Shen CP, Shen PX, Shen XY, Shi HC, Shi RS, Shi X, Shi XD, Song WM, Song YX, Sosio S, Spataro S, Su KX, Sun GX, Sun JF, Sun L, Sun SS, Sun T, Sun WY, Sun YJ, Sun YK, Sun YZ, Sun ZT, Tan YH, Tan YX, Tang CJ, Tang GY, Tang J, Teng JX, Thoren V, Uman I, Wang B, Wang BL, Wang CW, Wang DY, Wang HP, Wang K, Wang LL, Wang M, Wang M, Wang WH, Wang WP, Wang X, Wang XF, Wang XL, Wang Y, Wang YD, Wang YF, Wang YQ, Wang Z, Wang ZY, Wang Z, Wang Z, Wei DH, Weidenkaff P, Weidner F, Wen SP, White DJ, Wiedner UW, Wilkinson G, Wolke M, Wollenberg L, Wu JF, Wu LH, Wu LJ, Wu X, Wu Z, Xia L, Xiao H, Xiao SY, Xiao ZJ, Xie XH, Xie YG, Xie YH, Xing TY, Xu GF, Xu JJ, Xu QJ, Xu W, Xu XP, Xu YC, Yan F, Yan L, Yan WB, Yan WC, Yan X, Yang HJ, Yang HX, Yang L, Yang SL, Yang YH, Yang Y, Ye M, Ye MH, Yin JH, You ZY, Yu BX, Yu CX, Yu G, Yu JS, Yu T, Yuan CZ, Yuan L, Yuan W, Yuan Y, Yuan ZY, Yue CX, Zafar AA, Zeng Y, Zhang BX, Zhang GY, Zhang H, Zhang HH, Zhang HH, Zhang HY, Zhang JJ, Zhang JQ, Zhang JW, Zhang JY, Zhang JZ, Zhang J, Zhang J, Zhang L, Zhang SF, Zhang XD, Zhang XY, Zhang Y, Zhang YT, Zhang YH, Zhang Y, Zhang Y, Zhang ZY, Zhao G, Zhao J, Zhao JY, Zhao JZ, Zhao L, Zhao L, Zhao MG, Zhao Q, Zhao SJ, Zhao YB, Zhao YX, Zhao ZG, Zhemchugov A, Zheng B, Zheng JP, Zheng YH, Zhong B, Zhong C, Zhou LP, Zhou Q, Zhou X, Zhou XK, Zhou XR, Zhu AN, Zhu J, Zhu K, Zhu KJ, Zhu SH, Zhu WJ, Zhu WJ, Zhu YC, Zhu ZA, Zou BS, Zou JH. Search for Λ[over ¯]-Λ Baryon-Number-Violating Oscillations in the Decay J/ψ→pK^{-}Λ[over ¯]+c.c. Phys Rev Lett 2023; 131:121801. [PMID: 37802947 DOI: 10.1103/physrevlett.131.121801] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/08/2023] [Revised: 08/14/2023] [Accepted: 08/29/2023] [Indexed: 10/08/2023]
Abstract
We report on the first search for Λ[over ¯]-Λ oscillations in the decay J/ψ→pK^{-}Λ[over ¯]+c.c. by analyzing 1.31×10^{9} J/ψ events accumulated with the BESIII detector at the BEPCII collider. The J/ψ events are produced using e^{+}e^{-} collisions at a center of mass energy sqrt[s]=3.097 GeV. No evidence for hyperon oscillations is observed. The upper limit for the oscillation rate of Λ[over ¯] to Λ hyperons is determined to be P(Λ)=[B(J/ψ→pK^{-}Λ+c.c.)/B(J/ψ→pK^{-}Λ[over ¯]+c.c.)]<4.4×10^{-6} corresponding to an oscillation parameter δm_{ΛΛ[over ¯]} of less than 3.8×10^{-18} GeV at the 90% confidence level.
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Affiliation(s)
- M Ablikim
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - M N Achasov
- Budker Institute of Nuclear Physics SB RAS (BINP), Novosibirsk 630090, Russia
| | - P Adlarson
- Uppsala University, Box 516, SE-75120 Uppsala, Sweden
| | - S Ahmed
- Helmholtz Institute Mainz, Staudinger Weg 18, D-55099 Mainz, Germany
| | - M Albrecht
- Bochum Ruhr-University, D-44780 Bochum, Germany
| | - R Aliberti
- Johannes Gutenberg University of Mainz, Johann-Joachim-Becher-Weg 45, D-55099 Mainz, Germany
| | - A Amoroso
- University of Turin and INFN, University of Turin, I-10125, Turin, Italy
- INFN, I-10125, Turin, Italy
| | - Q An
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - Y Bai
- Southeast University, Nanjing 211100, People's Republic of China
| | - O Bakina
- Joint Institute for Nuclear Research, 141980 Dubna, Moscow region, Russia
| | - R Baldini Ferroli
- INFN Laboratori Nazionali di Frascati, INFN Laboratori Nazionali di Frascati, I-00044, Frascati, Italy
| | - I Balossino
- INFN Sezione di Ferrara, INFN Sezione di Ferrara, I-44122, Ferrara, Italy
| | - Y Ban
- Peking University, Beijing 100871, People's Republic of China
| | - K Begzsuren
- Institute of Physics and Technology, Peace Avenue 54B, Ulaanbaatar 13330, Mongolia
| | - N Berger
- Johannes Gutenberg University of Mainz, Johann-Joachim-Becher-Weg 45, D-55099 Mainz, Germany
| | - M Bertani
- INFN Laboratori Nazionali di Frascati, INFN Laboratori Nazionali di Frascati, I-00044, Frascati, Italy
| | - D Bettoni
- INFN Sezione di Ferrara, INFN Sezione di Ferrara, I-44122, Ferrara, Italy
| | - F Bianchi
- University of Turin and INFN, University of Turin, I-10125, Turin, Italy
- INFN, I-10125, Turin, Italy
| | - J Bloms
- University of Muenster, Wilhelm-Klemm-Strasse 9, 48149 Muenster, Germany
| | - A Bortone
- University of Turin and INFN, University of Turin, I-10125, Turin, Italy
- INFN, I-10125, Turin, Italy
| | - I Boyko
- Joint Institute for Nuclear Research, 141980 Dubna, Moscow region, Russia
| | - R A Briere
- Carnegie Mellon University, Pittsburgh, Pennsylvania 15213, USA
| | - H Cai
- Wuhan University, Wuhan 430072, People's Republic of China
| | - X Cai
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
| | - A Calcaterra
- INFN Laboratori Nazionali di Frascati, INFN Laboratori Nazionali di Frascati, I-00044, Frascati, Italy
| | - G F Cao
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - N Cao
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - S A Cetin
- Turkish Accelerator Center Particle Factory Group, Istinye University, 34010, Istanbul, Turkey
| | - J F Chang
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
| | - W L Chang
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - G Chelkov
- Joint Institute for Nuclear Research, 141980 Dubna, Moscow region, Russia
| | - G Chen
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - H S Chen
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - M L Chen
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - S J Chen
- Nanjing University, Nanjing 210093, People's Republic of China
| | - X R Chen
- Institute of Modern Physics, Lanzhou 730000, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - Y B Chen
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
| | - Z J Chen
- Hunan University, Changsha 410082, People's Republic of China
| | | | - G Cibinetto
- INFN Sezione di Ferrara, INFN Sezione di Ferrara, I-44122, Ferrara, Italy
| | | | - H L Dai
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
| | - J P Dai
- Shanghai Jiao Tong University, Shanghai 200240, People's Republic of China
| | - X C Dai
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - A Dbeyssi
- Helmholtz Institute Mainz, Staudinger Weg 18, D-55099 Mainz, Germany
| | - R E de Boer
- Bochum Ruhr-University, D-44780 Bochum, Germany
| | - D Dedovich
- Joint Institute for Nuclear Research, 141980 Dubna, Moscow region, Russia
| | - Z Y Deng
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - A Denig
- Johannes Gutenberg University of Mainz, Johann-Joachim-Becher-Weg 45, D-55099 Mainz, Germany
| | - I Denysenko
- Joint Institute for Nuclear Research, 141980 Dubna, Moscow region, Russia
| | - M Destefanis
- University of Turin and INFN, University of Turin, I-10125, Turin, Italy
- INFN, I-10125, Turin, Italy
| | - F De Mori
- University of Turin and INFN, University of Turin, I-10125, Turin, Italy
- INFN, I-10125, Turin, Italy
| | - Y Ding
- Liaoning University, Shenyang 110036, People's Republic of China
| | - J Dong
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
| | - L Y Dong
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - M Y Dong
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - X Dong
- Wuhan University, Wuhan 430072, People's Republic of China
| | - S X Du
- Zhengzhou University, Zhengzhou 450001, People's Republic of China
| | - J Fang
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
| | - S S Fang
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - Y Fang
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - R Farinelli
- INFN Sezione di Ferrara, INFN Sezione di Ferrara, I-44122, Ferrara, Italy
| | - L Fava
- University of Eastern Piedmont, I-15121, Alessandria, Italy
- INFN, I-10125, Turin, Italy
| | - F Feldbauer
- Bochum Ruhr-University, D-44780 Bochum, Germany
| | - G Felici
- INFN Laboratori Nazionali di Frascati, INFN Laboratori Nazionali di Frascati, I-00044, Frascati, Italy
| | - C Q Feng
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - M Fritsch
- Bochum Ruhr-University, D-44780 Bochum, Germany
| | - C D Fu
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - Y N Gao
- Peking University, Beijing 100871, People's Republic of China
| | - Ya Gao
- University of South China, Hengyang 421001, People's Republic of China
| | - Yang Gao
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - I Garzia
- INFN Sezione di Ferrara, INFN Sezione di Ferrara, I-44122, Ferrara, Italy
- University of Ferrara, I-44122, Ferrara, Italy
| | - E M Gersabeck
- University of Manchester, Oxford Road, Manchester, M13 9PL, United Kingdom
| | - A Gilman
- University of Minnesota, Minneapolis, Minnesota 55455, USA
| | - K Goetzen
- GSI Helmholtzcentre for Heavy Ion Research GmbH, D-64291 Darmstadt, Germany
| | - L Gong
- Liaoning University, Shenyang 110036, People's Republic of China
| | - W X Gong
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
| | - W Gradl
- Johannes Gutenberg University of Mainz, Johann-Joachim-Becher-Weg 45, D-55099 Mainz, Germany
| | - M Greco
- University of Turin and INFN, University of Turin, I-10125, Turin, Italy
- INFN, I-10125, Turin, Italy
| | - L M Gu
- Nanjing University, Nanjing 210093, People's Republic of China
| | - M H Gu
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
| | - S Gu
- Beihang University, Beijing 100191, People's Republic of China
| | - Y T Gu
- Guangxi University, Nanning 530004, People's Republic of China
| | - C Y Guan
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - A Q Guo
- Indiana University, Bloomington, Indiana 47405, USA
| | - L B Guo
- Nanjing Normal University, Nanjing 210023, People's Republic of China
| | - R P Guo
- Shandong Normal University, Jinan 250014, People's Republic of China
| | - Y P Guo
- Fudan University, Shanghai 200433, People's Republic of China
| | - A Guskov
- Joint Institute for Nuclear Research, 141980 Dubna, Moscow region, Russia
| | - T T Han
- Shandong University, Jinan 250100, People's Republic of China
| | - X Q Hao
- Henan Normal University, Xinxiang 453007, People's Republic of China
| | - F A Harris
- University of Hawaii, Honolulu, Hawaii 96822, USA
| | - K L He
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | | | - C H Heinz
- Johannes Gutenberg University of Mainz, Johann-Joachim-Becher-Weg 45, D-55099 Mainz, Germany
| | - Y K Heng
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - C Herold
- Suranaree University of Technology, University Avenue 111, Nakhon Ratchasima 30000, Thailand
| | - M Himmelreich
- GSI Helmholtzcentre for Heavy Ion Research GmbH, D-64291 Darmstadt, Germany
| | - T Holtmann
- Bochum Ruhr-University, D-44780 Bochum, Germany
| | - Y R Hou
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - Z L Hou
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - H M Hu
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - J F Hu
- South China Normal University, Guangzhou 510006, People's Republic of China
| | - T Hu
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - Y Hu
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - G S Huang
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - L Q Huang
- University of South China, Hengyang 421001, People's Republic of China
| | - X T Huang
- Shandong University, Jinan 250100, People's Republic of China
| | - Y P Huang
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - T Hussain
- University of the Punjab, Lahore-54590, Pakistan
| | - W Imoehl
- Indiana University, Bloomington, Indiana 47405, USA
| | - M Irshad
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - S Jaeger
- Bochum Ruhr-University, D-44780 Bochum, Germany
| | - S Janchiv
- Institute of Physics and Technology, Peace Avenue 54B, Ulaanbaatar 13330, Mongolia
| | - Q Ji
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - Q P Ji
- Henan Normal University, Xinxiang 453007, People's Republic of China
| | - X B Ji
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - X L Ji
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
| | - X S Jiang
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - J B Jiao
- Shandong University, Jinan 250100, People's Republic of China
| | - Z Jiao
- Huangshan College, Huangshan 245000, People's Republic of China
| | - S Jin
- Nanjing University, Nanjing 210093, People's Republic of China
| | - Y Jin
- University of Jinan, Jinan 250022, People's Republic of China
| | - T Johansson
- Uppsala University, Box 516, SE-75120 Uppsala, Sweden
| | | | - X S Kang
- Liaoning University, Shenyang 110036, People's Republic of China
| | - R Kappert
- University of Groningen, NL-9747 AA Groningen, The Netherlands
| | - M Kavatsyuk
- University of Groningen, NL-9747 AA Groningen, The Netherlands
| | - B C Ke
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- Shanxi Normal University, Linfen 041004, People's Republic of China
| | - I K Keshk
- Bochum Ruhr-University, D-44780 Bochum, Germany
| | - A Khoukaz
- University of Muenster, Wilhelm-Klemm-Strasse 9, 48149 Muenster, Germany
| | - P Kiese
- Johannes Gutenberg University of Mainz, Johann-Joachim-Becher-Weg 45, D-55099 Mainz, Germany
| | - R Kiuchi
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - R Kliemt
- GSI Helmholtzcentre for Heavy Ion Research GmbH, D-64291 Darmstadt, Germany
| | - O B Kolcu
- Turkish Accelerator Center Particle Factory Group, Istinye University, 34010, Istanbul, Turkey
| | - B Kopf
- Bochum Ruhr-University, D-44780 Bochum, Germany
| | - M Kuemmel
- Bochum Ruhr-University, D-44780 Bochum, Germany
| | | | - A Kupsc
- Uppsala University, Box 516, SE-75120 Uppsala, Sweden
| | - M G Kurth
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - W Kühn
- Justus-Liebig-Universitaet Giessen, II. Physikalisches Institut, Heinrich-Buff-Ring 16, D-35392 Giessen, Germany
| | - J J Lane
- University of Manchester, Oxford Road, Manchester, M13 9PL, United Kingdom
| | - P Larin
- Helmholtz Institute Mainz, Staudinger Weg 18, D-55099 Mainz, Germany
| | - A Lavania
- Indian Institute of Technology Madras, Chennai 600036, India
| | - L Lavezzi
- University of Turin and INFN, University of Turin, I-10125, Turin, Italy
- INFN, I-10125, Turin, Italy
| | - Z H Lei
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - H Leithoff
- Johannes Gutenberg University of Mainz, Johann-Joachim-Becher-Weg 45, D-55099 Mainz, Germany
| | - M Lellmann
- Johannes Gutenberg University of Mainz, Johann-Joachim-Becher-Weg 45, D-55099 Mainz, Germany
| | - T Lenz
- Johannes Gutenberg University of Mainz, Johann-Joachim-Becher-Weg 45, D-55099 Mainz, Germany
| | - C Li
- Qufu Normal University, Qufu 273165, People's Republic of China
| | - C H Li
- Liaoning Normal University, Dalian 116029, People's Republic of China
| | - Cheng Li
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - D M Li
- Zhengzhou University, Zhengzhou 450001, People's Republic of China
| | - F Li
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
| | - G Li
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - H Li
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - H B Li
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - H J Li
- Fudan University, Shanghai 200433, People's Republic of China
| | - J Q Li
- Bochum Ruhr-University, D-44780 Bochum, Germany
| | - J W Li
- Shandong University, Jinan 250100, People's Republic of China
| | - Ke Li
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - L K Li
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - Lei Li
- Beijing Institute of Petrochemical Technology, Beijing 102617, People's Republic of China
| | - P L Li
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - P R Li
- Lanzhou University, Lanzhou 730000, People's Republic of China
| | - S Y Li
- Tsinghua University, Beijing 100084, People's Republic of China
| | - W D Li
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - W G Li
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - X H Li
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - X L Li
- Shandong University, Jinan 250100, People's Republic of China
| | - Z Y Li
- Sun Yat-Sen University, Guangzhou 510275, People's Republic of China
| | - H Liang
- Jilin University, Changchun 130012, People's Republic of China
| | - H Liang
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - H Liang
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - Y F Liang
- Sichuan University, Chengdu 610064, People's Republic of China
| | - Y T Liang
- Institute of Modern Physics, Lanzhou 730000, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - G R Liao
- Guangxi Normal University, Guilin 541004, People's Republic of China
| | - L Z Liao
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - J Libby
- Indian Institute of Technology Madras, Chennai 600036, India
| | - A Limphirat
- Suranaree University of Technology, University Avenue 111, Nakhon Ratchasima 30000, Thailand
| | - B J Liu
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - C X Liu
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - D Liu
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - F H Liu
- Shanxi University, Taiyuan 030006, People's Republic of China
| | - Fang Liu
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - Feng Liu
- Central China Normal University, Wuhan 430079, People's Republic of China
| | - H B Liu
- Guangxi University, Nanning 530004, People's Republic of China
| | - H M Liu
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - Huanhuan Liu
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - Huihui Liu
- Henan University of Science and Technology, Luoyang 471003, People's Republic of China
| | - J B Liu
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - J Y Liu
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - K Liu
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - K Y Liu
- Liaoning University, Shenyang 110036, People's Republic of China
| | - L Liu
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - M H Liu
- Fudan University, Shanghai 200433, People's Republic of China
| | - Q Liu
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - S B Liu
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - Shuai Liu
- Soochow University, Suzhou 215006, People's Republic of China
| | - T Liu
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - W M Liu
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - X Liu
- Lanzhou University, Lanzhou 730000, People's Republic of China
| | - Y B Liu
- Nankai University, Tianjin 300071, People's Republic of China
| | - Z A Liu
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - Z Q Liu
- Shandong University, Jinan 250100, People's Republic of China
| | - X C Lou
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - F X Lu
- Henan Normal University, Xinxiang 453007, People's Republic of China
| | - H J Lu
- Huangshan College, Huangshan 245000, People's Republic of China
| | - J D Lu
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - J G Lu
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
| | - X L Lu
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - Y Lu
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - Y P Lu
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
| | - C L Luo
- Nanjing Normal University, Nanjing 210023, People's Republic of China
| | - M X Luo
- Zhejiang University, Hangzhou 310027, People's Republic of China
| | - T Luo
- Fudan University, Shanghai 200433, People's Republic of China
| | - X L Luo
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
| | | | - X R Lyu
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - F C Ma
- Liaoning University, Shenyang 110036, People's Republic of China
| | - H L Ma
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - L L Ma
- Shandong University, Jinan 250100, People's Republic of China
| | - M M Ma
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - Q M Ma
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - R Q Ma
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - R T Ma
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - X X Ma
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - X Y Ma
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
| | - F E Maas
- Helmholtz Institute Mainz, Staudinger Weg 18, D-55099 Mainz, Germany
| | - M Maggiora
- University of Turin and INFN, University of Turin, I-10125, Turin, Italy
- INFN, I-10125, Turin, Italy
| | - S Maldaner
- Bochum Ruhr-University, D-44780 Bochum, Germany
| | - S Malde
- University of Oxford, Keble Road, Oxford OX13RH, United Kingdom
| | - Q A Malik
- University of the Punjab, Lahore-54590, Pakistan
| | - A Mangoni
- INFN Sezione di Perugia, I-06100, Perugia, Italy
| | - Y J Mao
- Peking University, Beijing 100871, People's Republic of China
| | - Z P Mao
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - S Marcello
- University of Turin and INFN, University of Turin, I-10125, Turin, Italy
- INFN, I-10125, Turin, Italy
| | - Z X Meng
- University of Jinan, Jinan 250022, People's Republic of China
| | - J G Messchendorp
- GSI Helmholtzcentre for Heavy Ion Research GmbH, D-64291 Darmstadt, Germany
- University of Groningen, NL-9747 AA Groningen, The Netherlands
| | - G Mezzadri
- INFN Sezione di Ferrara, INFN Sezione di Ferrara, I-44122, Ferrara, Italy
| | - T J Min
- Nanjing University, Nanjing 210093, People's Republic of China
| | - R E Mitchell
- Indiana University, Bloomington, Indiana 47405, USA
| | - X H Mo
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - N Yu Muchnoi
- Budker Institute of Nuclear Physics SB RAS (BINP), Novosibirsk 630090, Russia
| | - H Muramatsu
- University of Minnesota, Minneapolis, Minnesota 55455, USA
| | - S Nakhoul
- GSI Helmholtzcentre for Heavy Ion Research GmbH, D-64291 Darmstadt, Germany
| | - Y Nefedov
- Joint Institute for Nuclear Research, 141980 Dubna, Moscow region, Russia
| | - F Nerling
- GSI Helmholtzcentre for Heavy Ion Research GmbH, D-64291 Darmstadt, Germany
| | - I B Nikolaev
- Budker Institute of Nuclear Physics SB RAS (BINP), Novosibirsk 630090, Russia
| | - Z Ning
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
| | - S Nisar
- COMSATS University Islamabad, Lahore Campus, Defence Road, Off Raiwind Road, 54000 Lahore, Pakistan
| | - S L Olsen
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - Q Ouyang
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - S Pacetti
- INFN Sezione di Perugia, I-06100, Perugia, Italy
- University of Perugia, I-06100, Perugia, Italy
| | - X Pan
- Fudan University, Shanghai 200433, People's Republic of China
| | - Y Pan
- University of Manchester, Oxford Road, Manchester, M13 9PL, United Kingdom
| | - A Pathak
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - P Patteri
- INFN Laboratori Nazionali di Frascati, INFN Laboratori Nazionali di Frascati, I-00044, Frascati, Italy
| | - M Pelizaeus
- Bochum Ruhr-University, D-44780 Bochum, Germany
| | - H P Peng
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - K Peters
- GSI Helmholtzcentre for Heavy Ion Research GmbH, D-64291 Darmstadt, Germany
| | - J L Ping
- Nanjing Normal University, Nanjing 210023, People's Republic of China
| | - R G Ping
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - A Pitka
- Bochum Ruhr-University, D-44780 Bochum, Germany
| | - R Poling
- University of Minnesota, Minneapolis, Minnesota 55455, USA
| | - V Prasad
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - H Qi
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - H R Qi
- Tsinghua University, Beijing 100084, People's Republic of China
| | - M Qi
- Nanjing University, Nanjing 210093, People's Republic of China
| | - T Y Qi
- Beihang University, Beijing 100191, People's Republic of China
| | - S Qian
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
| | - W B Qian
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - C F Qiao
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - L Q Qin
- Guangxi Normal University, Guilin 541004, People's Republic of China
| | - X P Qin
- Fudan University, Shanghai 200433, People's Republic of China
| | - X S Qin
- Shandong University, Jinan 250100, People's Republic of China
| | - Z H Qin
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
| | - J F Qiu
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - S Q Qu
- Nankai University, Tianjin 300071, People's Republic of China
| | - S Q Qu
- Tsinghua University, Beijing 100084, People's Republic of China
| | - K Ravindran
- Indian Institute of Technology Madras, Chennai 600036, India
| | - C F Redmer
- Johannes Gutenberg University of Mainz, Johann-Joachim-Becher-Weg 45, D-55099 Mainz, Germany
| | | | - V Rodin
- University of Groningen, NL-9747 AA Groningen, The Netherlands
| | - M Rolo
- INFN, I-10125, Turin, Italy
| | - G Rong
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - Ch Rosner
- Helmholtz Institute Mainz, Staudinger Weg 18, D-55099 Mainz, Germany
| | - A Sarantsev
- Joint Institute for Nuclear Research, 141980 Dubna, Moscow region, Russia
| | - Y Schelhaas
- Johannes Gutenberg University of Mainz, Johann-Joachim-Becher-Weg 45, D-55099 Mainz, Germany
| | - C Schnier
- Bochum Ruhr-University, D-44780 Bochum, Germany
| | - K Schoenning
- Uppsala University, Box 516, SE-75120 Uppsala, Sweden
| | - M Scodeggio
- INFN Sezione di Ferrara, INFN Sezione di Ferrara, I-44122, Ferrara, Italy
- University of Ferrara, I-44122, Ferrara, Italy
| | - D C Shan
- Soochow University, Suzhou 215006, People's Republic of China
| | - W Shan
- Hunan Normal University, Changsha 410081, People's Republic of China
| | - X Y Shan
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - M Shao
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - C P Shen
- Fudan University, Shanghai 200433, People's Republic of China
| | - P X Shen
- Nankai University, Tianjin 300071, People's Republic of China
| | - X Y Shen
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - H C Shi
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - R S Shi
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - X Shi
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
| | - X D Shi
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - W M Song
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- Jilin University, Changchun 130012, People's Republic of China
| | - Y X Song
- Peking University, Beijing 100871, People's Republic of China
| | - S Sosio
- University of Turin and INFN, University of Turin, I-10125, Turin, Italy
- INFN, I-10125, Turin, Italy
| | - S Spataro
- University of Turin and INFN, University of Turin, I-10125, Turin, Italy
- INFN, I-10125, Turin, Italy
| | - K X Su
- Wuhan University, Wuhan 430072, People's Republic of China
| | - G X Sun
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - J F Sun
- Henan Normal University, Xinxiang 453007, People's Republic of China
| | - L Sun
- Wuhan University, Wuhan 430072, People's Republic of China
| | - S S Sun
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - T Sun
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - W Y Sun
- Nanjing Normal University, Nanjing 210023, People's Republic of China
| | - Y J Sun
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - Y K Sun
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - Y Z Sun
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - Z T Sun
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - Y H Tan
- Wuhan University, Wuhan 430072, People's Republic of China
| | - Y X Tan
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - C J Tang
- Sichuan University, Chengdu 610064, People's Republic of China
| | - G Y Tang
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - J Tang
- Sun Yat-Sen University, Guangzhou 510275, People's Republic of China
| | - J X Teng
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - V Thoren
- Uppsala University, Box 516, SE-75120 Uppsala, Sweden
| | - I Uman
- Near East University, Nicosia, North Cyprus, 99138, Mersin 10, Turkey
| | - B Wang
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - B L Wang
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - C W Wang
- Nanjing University, Nanjing 210093, People's Republic of China
| | - D Y Wang
- Peking University, Beijing 100871, People's Republic of China
| | - H P Wang
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - K Wang
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
| | - L L Wang
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - M Wang
- Shandong University, Jinan 250100, People's Republic of China
| | - Meng Wang
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - W H Wang
- Wuhan University, Wuhan 430072, People's Republic of China
| | - W P Wang
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - X Wang
- Peking University, Beijing 100871, People's Republic of China
| | - X F Wang
- Lanzhou University, Lanzhou 730000, People's Republic of China
| | - X L Wang
- Fudan University, Shanghai 200433, People's Republic of China
| | - Y Wang
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - Y D Wang
- North China Electric Power University, Beijing 102206, People's Republic of China
| | - Y F Wang
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - Y Q Wang
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - Z Wang
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
| | - Z Y Wang
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - Ziyi Wang
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - Zongyuan Wang
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - D H Wei
- Guangxi Normal University, Guilin 541004, People's Republic of China
| | - P Weidenkaff
- Johannes Gutenberg University of Mainz, Johann-Joachim-Becher-Weg 45, D-55099 Mainz, Germany
| | - F Weidner
- University of Muenster, Wilhelm-Klemm-Strasse 9, 48149 Muenster, Germany
| | - S P Wen
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - D J White
- University of Manchester, Oxford Road, Manchester, M13 9PL, United Kingdom
| | - U W Wiedner
- Bochum Ruhr-University, D-44780 Bochum, Germany
| | - G Wilkinson
- University of Oxford, Keble Road, Oxford OX13RH, United Kingdom
| | - M Wolke
- Uppsala University, Box 516, SE-75120 Uppsala, Sweden
| | | | - J F Wu
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - L H Wu
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - L J Wu
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - X Wu
- Fudan University, Shanghai 200433, People's Republic of China
| | - Z Wu
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
| | - L Xia
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - H Xiao
- Fudan University, Shanghai 200433, People's Republic of China
| | - S Y Xiao
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - Z J Xiao
- Nanjing Normal University, Nanjing 210023, People's Republic of China
| | - X H Xie
- Peking University, Beijing 100871, People's Republic of China
| | - Y G Xie
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
| | - Y H Xie
- Central China Normal University, Wuhan 430079, People's Republic of China
| | - T Y Xing
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - G F Xu
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - J J Xu
- Nanjing University, Nanjing 210093, People's Republic of China
| | - Q J Xu
- Hangzhou Normal University, Hangzhou 310036, People's Republic of China
| | - W Xu
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - X P Xu
- Soochow University, Suzhou 215006, People's Republic of China
| | - Y C Xu
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - F Yan
- Fudan University, Shanghai 200433, People's Republic of China
| | - L Yan
- Fudan University, Shanghai 200433, People's Republic of China
| | - W B Yan
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - W C Yan
- Zhengzhou University, Zhengzhou 450001, People's Republic of China
| | - Xu Yan
- Soochow University, Suzhou 215006, People's Republic of China
| | - H J Yang
- Shanghai Jiao Tong University, Shanghai 200240, People's Republic of China
| | - H X Yang
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - L Yang
- Shanxi Normal University, Linfen 041004, People's Republic of China
| | - S L Yang
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - Y H Yang
- Nanjing University, Nanjing 210093, People's Republic of China
| | - Yifan Yang
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - M Ye
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
| | - M H Ye
- China Center of Advanced Science and Technology, Beijing 100190, People's Republic of China
| | - J H Yin
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - Z Y You
- Sun Yat-Sen University, Guangzhou 510275, People's Republic of China
| | - B X Yu
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - C X Yu
- Nankai University, Tianjin 300071, People's Republic of China
| | - G Yu
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - J S Yu
- Hunan University, Changsha 410082, People's Republic of China
| | - T Yu
- University of South China, Hengyang 421001, People's Republic of China
| | - C Z Yuan
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - L Yuan
- Beihang University, Beijing 100191, People's Republic of China
| | - W Yuan
- University of Turin and INFN, University of Turin, I-10125, Turin, Italy
- INFN, I-10125, Turin, Italy
| | - Y Yuan
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - Z Y Yuan
- Sun Yat-Sen University, Guangzhou 510275, People's Republic of China
| | - C X Yue
- Liaoning Normal University, Dalian 116029, People's Republic of China
| | - A A Zafar
- University of the Punjab, Lahore-54590, Pakistan
| | - Y Zeng
- Hunan University, Changsha 410082, People's Republic of China
| | - B X Zhang
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - G Y Zhang
- Henan Normal University, Xinxiang 453007, People's Republic of China
| | - H Zhang
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - H H Zhang
- Jilin University, Changchun 130012, People's Republic of China
| | - H H Zhang
- Sun Yat-Sen University, Guangzhou 510275, People's Republic of China
| | - H Y Zhang
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
| | - J J Zhang
- Shanxi Normal University, Linfen 041004, People's Republic of China
| | - J Q Zhang
- Nanjing Normal University, Nanjing 210023, People's Republic of China
| | - J W Zhang
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - J Y Zhang
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - J Z Zhang
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - Jianyu Zhang
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - Jiawei Zhang
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - Lei Zhang
- Nanjing University, Nanjing 210093, People's Republic of China
| | - S F Zhang
- Nanjing University, Nanjing 210093, People's Republic of China
| | - X D Zhang
- North China Electric Power University, Beijing 102206, People's Republic of China
| | - X Y Zhang
- Shandong University, Jinan 250100, People's Republic of China
| | - Y Zhang
- University of Oxford, Keble Road, Oxford OX13RH, United Kingdom
| | - Y T Zhang
- Zhengzhou University, Zhengzhou 450001, People's Republic of China
| | - Y H Zhang
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
| | - Yan Zhang
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - Yao Zhang
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - Z Y Zhang
- Wuhan University, Wuhan 430072, People's Republic of China
| | - G Zhao
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - J Zhao
- Liaoning Normal University, Dalian 116029, People's Republic of China
| | - J Y Zhao
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - J Z Zhao
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
| | - Lei Zhao
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - Ling Zhao
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - M G Zhao
- Nankai University, Tianjin 300071, People's Republic of China
| | - Q Zhao
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - S J Zhao
- Zhengzhou University, Zhengzhou 450001, People's Republic of China
| | - Y B Zhao
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
| | - Y X Zhao
- Institute of Modern Physics, Lanzhou 730000, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - Z G Zhao
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - A Zhemchugov
- Joint Institute for Nuclear Research, 141980 Dubna, Moscow region, Russia
| | - B Zheng
- University of South China, Hengyang 421001, People's Republic of China
| | - J P Zheng
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
| | - Y H Zheng
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - B Zhong
- Nanjing Normal University, Nanjing 210023, People's Republic of China
| | - C Zhong
- University of South China, Hengyang 421001, People's Republic of China
| | - L P Zhou
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - Q Zhou
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - X Zhou
- Wuhan University, Wuhan 430072, People's Republic of China
| | - X K Zhou
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - X R Zhou
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - A N Zhu
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - J Zhu
- Nankai University, Tianjin 300071, People's Republic of China
| | - K Zhu
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - K J Zhu
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - S H Zhu
- University of Science and Technology Liaoning, Anshan 114051, People's Republic of China
| | - W J Zhu
- Fudan University, Shanghai 200433, People's Republic of China
| | - W J Zhu
- Nankai University, Tianjin 300071, People's Republic of China
| | - Y C Zhu
- State Key Laboratory of Particle Detection and Electronics, Beijing 100049, Hefei 230026, People's Republic of China
- University of Science and Technology of China, Hefei 230026, People's Republic of China
| | - Z A Zhu
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
- University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - B S Zou
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
| | - J H Zou
- Institute of High Energy Physics, Beijing 100049, People's Republic of China
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Huang LC, Lee MY, Chien CF, Chang YP, Li KY, Yang YH. Age and sex differences in the association between APOE genotype and Alzheimer's disease in a Taiwan Chinese population. Front Aging Neurosci 2023; 15:1246592. [PMID: 37680541 PMCID: PMC10481952 DOI: 10.3389/fnagi.2023.1246592] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2023] [Accepted: 08/07/2023] [Indexed: 09/09/2023] Open
Abstract
Introduction The Apolipoprotein E (APOE) epsilon (ε) 4 allele is a well-established risk factor for late-onset Alzheimer's disease (AD). Reports on white ancestry populations have showed that age, sex, and ethnicity have different effects on the association between APOE genotype and AD. However, studies on Asian populations such as Taiwan Chinese populations are limited. This study aimed to evaluate the association between APOE genotype and AD in a Taiwan Chinese population, and to explore if the association varies by age and sex. Methods We conducted a case-control study in 725 patients with AD and 1,067 age- and sex- matched controls without dementia from a Taiwan Chinese population. Logistic regression models were used to test the association between AD and APOE genotypes. Secondary analyses considered age (<75 or ≥75 years old), and sex stratified models. Results The risk of AD was significantly increased for people with at least one copy of APOE ε4 (OR = 2.52, 95% CI = 2.01-3.17, p < 0.001) and in a dose-dependent manner. Our results did not show an statistically significance different in AD risk when women and men carrying APOEε4 were compared. Despite not reaching statistical significance, the risk of APOE ε4 for AD was higher among younger participants (OR = 3.21, 95% CI = 2.26-4.56, p < 0.001) compared to older ones (OR = 2.13, 95% CI = 1.53-2.97, p < 0.001). When considering both sex and age, the risk of AD was higher among older men carrying APOE ε4 (OR = 2.64, 95% CI = 1.51-4.60 in men; OR = 1.90, 95% CI = 1.26-2.86 in women), while women carrying APOE ε4 appeared to have an increased risk at a younger age (OR = 3.29, 95% CI = 2.20-4.93 in women; OR = 2.91, 95% CI = 1.40-6.05 in men). Discussion The APOE ε4 allele represents a major risk factor for AD in the Taiwanese population. The effect of APOE ε4 allele on AD risk appeared to be stronger among men aged 75 years or more and among younger women.
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Affiliation(s)
- Ling-Chun Huang
- Department of Neurology, Kaohsiung Municipal Ta-Tung Hospital, Kaohsiung Medical University Hospital, Kaohsiung, Taiwan
- Department of Neurology, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung, Taiwan
- Neuroscience Research Center, Kaohsiung Medical University, Kaohsiung, Taiwan
| | - Mei-Yueh Lee
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Kaohsiung Medical University Hospital, Kaohsiung, Taiwan
- Faculty of Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan
| | - Ching-Fang Chien
- Department of Neurology, Kaohsiung Municipal Ta-Tung Hospital, Kaohsiung Medical University Hospital, Kaohsiung, Taiwan
- Department of Neurology, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung, Taiwan
- Neuroscience Research Center, Kaohsiung Medical University, Kaohsiung, Taiwan
| | - Yang-Pei Chang
- Department of Neurology, Kaohsiung Municipal Ta-Tung Hospital, Kaohsiung Medical University Hospital, Kaohsiung, Taiwan
- Department of Neurology, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung, Taiwan
- Neuroscience Research Center, Kaohsiung Medical University, Kaohsiung, Taiwan
| | - Kuan-Ying Li
- Department of Neurology, Kaohsiung Municipal Ta-Tung Hospital, Kaohsiung Medical University Hospital, Kaohsiung, Taiwan
- Department of Neurology, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung, Taiwan
- Neuroscience Research Center, Kaohsiung Medical University, Kaohsiung, Taiwan
| | - Yuan-Han Yang
- Department of Neurology, Kaohsiung Municipal Ta-Tung Hospital, Kaohsiung Medical University Hospital, Kaohsiung, Taiwan
- Department of Neurology, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung, Taiwan
- Neuroscience Research Center, Kaohsiung Medical University, Kaohsiung, Taiwan
- School of Post-Baccalaureate Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan
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Gong XY, Yang ZH, Li W, Yang YH. [A case with tetralogy of Fallot and thymus hypoplasia found by ultrasound was eventually diagnosed as DiGeorge syndrome]. Zhonghua Er Ke Za Zhi 2023; 61:733-735. [PMID: 37528016 DOI: 10.3760/cma.j.cn112140-20230511-00328] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Subscribe] [Scholar Register] [Indexed: 08/03/2023]
Affiliation(s)
- X Y Gong
- Department of Neonatology, Children's Medical Center, the Second Xiangya Hospital of Central South University, Changsha 410001, China
| | - Z H Yang
- Department of Neonatology, Children's Medical Center, the Second Xiangya Hospital of Central South University, Changsha 410001, China
| | - W Li
- Department of Neonatology, Children's Medical Center, the Second Xiangya Hospital of Central South University, Changsha 410001, China
| | - Y H Yang
- Department of Neonatology, Children's Medical Center, the Second Xiangya Hospital of Central South University, Changsha 410001, China
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Yang JJ, Zhang Y, Zhai ZG, Yang YH. [Research progress of thrombolytic therapy for high risk and intermediate-high risk pulmonary thromboembolism]. Zhonghua Jie He He Hu Xi Za Zhi 2023; 46:720-725. [PMID: 37402665 DOI: 10.3760/cma.j.cn112147-20221102-00866] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Subscribe] [Scholar Register] [Indexed: 07/06/2023]
Abstract
Acute pulmonary thromboembolism (PTE) is a highly fatal disease. Fibrinolytic therapy can rapidly improve pulmonary hemodynamics and is an important life-saving treatment. How to screen patients who may benefit from thrombolytic therapy and how to reduce the complications of major bleeding are still the focus of PTE treatment. In addition, as our understanding of post-PE syndrome (PPES) has improved, much attention has been paid to whether thrombolytic therapy has any benefit in preventing PPES. This article reviewed the research progress of early risk stratification and prognosis assessment, early major bleeding risk assessment, thrombolytic drug dose reduction, interventional thrombolysis and the long-term prognosis of PTE thrombolysis in recent years.
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Affiliation(s)
- J J Yang
- Department of Pulmonary and Critical Care Medicine, Beijing Chao-Yang Hospital, Capital Medical University, Beijing Institute of Respiratory Medicine, Beijing 100020, China
| | - Y Zhang
- Peking University China-Japan Friendship School of Clinical Medicine, Department of Pulmonary and Critical Care Medicine,National Respiratory Disease Center,China-Japan Friendship Hospital,Beijing 100029,China
| | - Z G Zhai
- Peking University China-Japan Friendship School of Clinical Medicine, Department of Pulmonary and Critical Care Medicine,National Respiratory Disease Center,China-Japan Friendship Hospital,Beijing 100029,China
| | - Y H Yang
- Department of Pulmonary and Critical Care Medicine, Beijing Chao-Yang Hospital, Capital Medical University, Beijing Institute of Respiratory Medicine, Beijing 100020, China
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Kao CC, Hsieh HM, Chang YC, Chu HC, Yang YH, Sheu SJ. Optical Coherence Tomography Assessment of Macular Thickness in Alzheimer's Dementia with Different Neuropsychological Severities. J Pers Med 2023; 13:1118. [PMID: 37511731 PMCID: PMC10381874 DOI: 10.3390/jpm13071118] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2023] [Revised: 07/03/2023] [Accepted: 07/08/2023] [Indexed: 07/30/2023] Open
Abstract
This retrospective case-control study aimed to investigate associations between disease severity of Alzheimer's dementia (AD) and macular thickness. Data of patients with AD who were under medication (n = 192) between 2013 and 2020, as well as an age- and sex-matched control group (n = 200) with normal cognitive function, were included. AD patients were divided into subgroups according to scores of the Mini-Mental State Examination (MMSE) and Clinical Dementia Rating (CDR). Macular thickness was analyzed via the Early Treatment Diabetic Retinopathy Study (ETDRS) grid map. AD patients had significant reductions in full macula layers, including inner circle, outer inferior area, and outer nasal area of the macula. Similar retinal thinning was noted in ganglion cells and inner plexiform layers. Advanced AD patients (MMSE score < 18 or CDR ≥ 1) showed more advanced reduction of macular thickness than the AD group (CDR = 0.5 or MMSE ≥ 18), indicating that severe cognitive impairment was associated with thinner macular thickness. Advanced AD is associated with significant macula thinning in full retina and inner plexiform layers, especially at the inner circle of the macula. Macular thickness may be a useful biomarker of AD disease severity. Retinal imaging may be a non-invasive, low-cost surrogate for AD.
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Affiliation(s)
- Chia-Chen Kao
- Department of Ophthalmology, Kaohsiung Medical University Hospital, Kaohsiung 80756, Taiwan
- Department of Ophthalmology, Kaohsiung Medical University, Kaohsiung 807, Taiwan
| | - Hui-Min Hsieh
- Department of Public Health, Kaohsiung Medical University, Kaohsiung 807, Taiwan
- Department of Medical Research, Kaohsiung Medical University Hospital, Kaohsiung 80756, Taiwan
- Department of Community Medicine, Kaohsiung Medical University Hospital, Kaohsiung 80756, Taiwan
- Center for Big Data Research, Kaohsiung Medical University, Kaohsiung 807, Taiwan
- Research Center for Precision Environmental Medicine, Kaohsiung Medical University, Kaohsiung 807, Taiwan
| | - Yo-Chen Chang
- Department of Ophthalmology, Kaohsiung Medical University Hospital, Kaohsiung 80756, Taiwan
- Department of Ophthalmology, Kaohsiung Medical University, Kaohsiung 807, Taiwan
- Department of Ophthalmology, Kaohsiung Municipal Siaogang Hospital, Kaohsiung 812, Taiwan
| | - Hui-Chen Chu
- Department of Ophthalmology, Kaohsiung Medical University Hospital, Kaohsiung 80756, Taiwan
| | - Yuan-Han Yang
- Department of Neurology, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung 807, Taiwan
- Neuroscience Research Center, Kaohsiung Medical University, Kaohsiung 812, Taiwan
- Department of Neurology, Kaohsiung Municipal Ta-Tung Hospital, Kaohsiung Medical University Hospital, Kaohsiung 80756, Taiwan
- Post-Baccalaureate Medicine, Kaohsiung Medical University, Kaohsiung 807, Taiwan
| | - Shwu-Jiuan Sheu
- Department of Ophthalmology, Kaohsiung Medical University Hospital, Kaohsiung 80756, Taiwan
- Department of Ophthalmology, Kaohsiung Medical University, Kaohsiung 807, Taiwan
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17
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Zhai ZG, Yang YH, Wang C. [Strengthening the construction of standardized system to enhance the standard diagnosis, treatment and comprehensive management of pulmonary hypertension in China]. Zhonghua Jie He He Hu Xi Za Zhi 2023; 46:553-557. [PMID: 37278168 DOI: 10.3760/cma.j.cn112147-20230418-00185] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Subscribe] [Scholar Register] [Indexed: 06/07/2023]
Abstract
In recent years, there has been rapid progress in the field of pulmonary hypertension (PH). With the deeper understanding of the pathogenesis of PH, the increase of evidence-based medical evidence, the continuous updating of PH clinical classification, the hemodynamic diagnostic boundaries, and the emergence of new targeted drugs and interventions, the guidelines are constantly being updated. It brings new challenges to the standard diagnosis, treatment and comprehensive management of PH in China. Compared with the world, there are still many problems in the field of PH in China. The heterogeneity of PH causes the complexity of the disease and the difficulty of clinical management, and the early identification and diagnosis of pH face great challenges. Individualized and precise treatment needs to be further optimized, and standardized diagnosis and treatment strategies need to be popularized and promoted. In recent years, rapid progress has been made in the field of PH, including its pathogenesis, diagnostic thresholds, classification and comprehensive treatment methods, prompting an update of the guidelines, which brings a new level of standardized diagnosis and comprehensive management of PH in China. This guideline brings new challenges to the standardized diagnosis and treatment and comprehensive management of PH in China. Here, we discussed in depth the current situation of diagnosis and treatment in the field of PH, as well as the development of a standardized system for PH in China.
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Affiliation(s)
- Z G Zhai
- Department of Pulmonary and Critical Care Medicine; Center of Respiratory Medicine, China-Japan Friendship Hospital, National Center for Respiratory Medicine, Beijing 100029, China
| | - Y H Yang
- Department of Pulmonary and Critical Care Medicine, Beijing Chaoyang Hospital, Capital Medical University, Beijing 100020, China
| | - C Wang
- Chinese Academy of Medical Sciences, Peking Union Medical, Beijing 100005, China
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18
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Guo YH, He ZL, Ji QL, Zhou HJ, Meng FL, Hu XF, Wei XY, Ma JC, Yang YH, Zhao W, Long LJ, Wang X, Fan JM, Yu XJ, Zhang JZ, Hua D, Yan XM, Wang HB. [Population structure of food-borne Staphylococcus aureus in China]. Zhonghua Liu Xing Bing Xue Za Zhi 2023; 44:982-989. [PMID: 37380423 DOI: 10.3760/cma.j.cn112338-20221206-01043] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Subscribe] [Scholar Register] [Indexed: 06/30/2023]
Abstract
Objective: To understand the population structure of food-borne Staphylococcus (S.) aureus in China. Methods: Whole genome sequencing was used to analyze 763 food-borne S. aureus strains from 16 provinces in China from 2006 to 2020. Multilocus sequence typing (MLST), staphylococcal protein A gene (spa) typing, and staphylococcal chromosome cassettemec (SCCmec) typing were conducted, and minimum spanning tree based on ST types (STs) was constructed by BioNumerics 7.5 software. Thirty-one S. aureus strains isolated from imported food products were also included in constructing the genome phylogenetic tree. Results: A total of 90 STs (20 novel types) and 160 spa types were detected in the 763 S. aureus isolates. The 72 STs (72/90, 80.0%) were related to 22 clone complexes. The predominant clone complexes were CC7, CC1, CC5, CC398, CC188, CC59, CC6, CC88, CC15, and CC25, accounting for 82.44% (629/763) of the total. The STs and spa types in the predominant clone complexes changed over the years. The methicillin-resistant S. aureus (MRSA) detection rate was 7.60%, and 7 SCCmec types were identified. The ST59-t437-Ⅳa (17.24%, 10/58), ST239-t030-Ⅲ (12.07%, 7/58), ST59-t437-Ⅴb (8.62%, 5/58), ST338-t437-Ⅴb (6.90%, 4/58) and ST338-t441-Ⅴb (6.90%, 4/58) were the main types in MRSA strains. The genome phylogenetic tree had two clades, and the strains with the same CC, ST, and spa types clustered together. All CC7 methicillin sensitive S. aureus strains were included in Clade1, while 21 clone complexes and all MRSA strains were in Clade2. The MRSA strains clustered according to the SCCmec and STs. The strains from imported food products in CC398, CC7, CC30, CC12, and CC188 had far distances from Chinese strains in the tree. Conclusions: In this study, the predominant clone complexes of food-borne strains were CC7, CC1, CC5, CC398, CC188, CC59, CC6, CC88, CC15, and CC25, which overlapped with the previously reported clone complexes of hospital and community-associated strains in China, suggesting that close attention needs to be paid to food, a vehicle of pathogen transmission in community and food poisoning.
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Affiliation(s)
- Y H Guo
- Baotou Medical College, Inner Mongolia University of Science and Technology, Baotou 014040, China State Key Laboratory of Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China
| | - Z L He
- Beijing Advanced Innovation Center for Big Data-based Precision Medicine, Interdisciplinary Innovation Institute of Medicine and Engineering, Beijing University of Aeronautics and Astronautics, Beijing 100191, China
| | - Q L Ji
- Chinese Academy of Inspection and Quarantine, Beijing 100020, China
| | - H J Zhou
- State Key Laboratory of Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China
| | - F L Meng
- State Key Laboratory of Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China
| | - X F Hu
- State Key Laboratory of Microbial Resources, Institute of Microbiology, Chinese Academy of Sciences, Beijing 100032, China
| | - X Y Wei
- State Key Laboratory of Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China
| | - J C Ma
- Microbial Resource and Big Data Center, Institute of Microbiology, Chinese Academy of Sciences, Beijing 100101, China
| | - Y H Yang
- State Key Laboratory of Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China
| | - W Zhao
- Institute of Microbiology, Jilin Provincial Center for Disease Control and Prevention, Changchun 130051, China
| | - L J Long
- State Key Laboratory of Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China
| | - X Wang
- College of Food Science and Engineering, Northwest Agriculture & Forestry University, Xi'an 712100, China
| | - J M Fan
- State Key Laboratory of Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China
| | - X J Yu
- Hainan Center for Disease Control and Prevention, Haikou 570203, China
| | - J Z Zhang
- State Key Laboratory of Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China
| | - D Hua
- Hainan Center for Disease Control and Prevention, Haikou 570203, China
| | - X M Yan
- State Key Laboratory of Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China
| | - H B Wang
- Baotou Medical College, Inner Mongolia University of Science and Technology, Baotou 014040, China Chaoyang District Center for Disease Control and Prevention, Beijing 100020, China
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Yao MH, Yang YH. [Clinicopathological analysis of 4 cases of lung cancer with concomitant EGFR mutation and ROS1 fusion]. Zhonghua Bing Li Xue Za Zhi 2023; 52:615-617. [PMID: 37263928 DOI: 10.3760/cma.j.cn112151-20221031-00903] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Subscribe] [Scholar Register] [Indexed: 06/03/2023]
Affiliation(s)
- M H Yao
- Department of Pathology, Fujian Medical University Union Hospital; Fujian Key Laboratory of Translational Cancer Medicine, Fuzhou 350001, China
| | - Y H Yang
- Department of Pathology, Fujian Medical University Union Hospital; Fujian Key Laboratory of Translational Cancer Medicine, Fuzhou 350001, China
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20
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Wu CY, Ho CY, Yang YH. Developing Biomarkers for the Skin: Biomarkers for the Diagnosis and Prediction of Treatment Outcomes of Alzheimer's Disease. Int J Mol Sci 2023; 24:ijms24108478. [PMID: 37239825 DOI: 10.3390/ijms24108478] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2023] [Revised: 05/02/2023] [Accepted: 05/06/2023] [Indexed: 05/28/2023] Open
Abstract
Alzheimer's disease (AD) is a neurodegenerative disorder characterized by memory decline and cognitive impairment. Research on biomarkers can aid in early diagnosis, monitoring disease progression, evaluating treatment efficacy, and advancing fundamental research. We conducted a cross-sectional longitudinal study to see if there is an association between AD patients and age-matched healthy controls for their physiologic skin characteristics, such as pH, hydration, transepidermal water loss (TEWL), elasticity, microcirculation, and ApoE genotyping. The study used the Mini-Mental State Examination (MMSE) and Clinical Dementia Rating-Sum of the Boxes (CDR-SB) scales as references to quantify the presence of disease, if any. Our findings demonstrate that AD patients have a dominantly neutral pH, greater skin hydration, and less elasticity compared to the control subjects. At baseline, the tortuous capillary percentage negatively correlated with MMSE scores in AD patients. However, AD patients who carry the ApoE E4 allele and exhibit a high percentage of tortuous capillaries and capillary tortuous numbers have shown better treatment outcomes at six months. Therefore, we believe that physiologic skin testing is a rapid and effective way to screen, monitor progression, and ultimately guide the most appropriate treatment for AD patients.
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Affiliation(s)
- Ching-Ying Wu
- Department of Dermatology, College of Medicine and Post Baccalaureat Medicine, Kaohsiung Municipal Ta-Tung Hospital, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung 807, Taiwan
- Department of Cosmetic Science, Chang Gung University of Science and Technology, Taoyuan 333, Taiwan
| | - Chih-Yi Ho
- Department of Dermatology, College of Medicine and Post Baccalaureat Medicine, Kaohsiung Municipal Ta-Tung Hospital, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung 807, Taiwan
| | - Yuan-Han Yang
- Department of Neurology, College of Post Baccalaureat Medicine, Kaohsiung Municipal Ta-Tung Hospital, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung 807, Taiwan
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21
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Ye ZT, Yang YH, Zheng QL. [Atypical adenomyoepitheloma of the breast: report of a case]. Zhonghua Bing Li Xue Za Zhi 2023; 52:521-523. [PMID: 37106301 DOI: 10.3760/cma.j.cn112151-20230111-00027] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Subscribe] [Scholar Register] [Indexed: 04/29/2023]
Affiliation(s)
- Z T Ye
- Department of Pathology, Fujian Medical University Union Hospital, Fuzhou 350001, China
| | - Y H Yang
- Department of Pathology, Fujian Medical University Union Hospital, Fuzhou 350001, China
| | - Q L Zheng
- Department of Pathology, Fujian Medical University Union Hospital, Fuzhou 350001, China
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22
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Wang L, Zheng WM, Liang TF, Yang YH, Yang BN, Chen X, Chen Q, Li XJ, Lu J, Li BW, Chen N. Brain Activation Evoked by Motor Imagery in Pediatric Patients with Complete Spinal Cord Injury. AJNR Am J Neuroradiol 2023; 44:611-617. [PMID: 37080724 PMCID: PMC10171374 DOI: 10.3174/ajnr.a7847] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/26/2022] [Accepted: 03/16/2023] [Indexed: 04/22/2023]
Abstract
BACKGROUND AND PURPOSE Currently, there is no effective treatment for pediatric patients with complete spinal cord injury. Motor imagery has been proposed as an alternative to physical training for patients who are unable to move voluntarily. Our aim was to reveal the potential mechanism of motor imagery in the rehabilitation of pediatric complete spinal cord injury. MATERIALS AND METHODS Twenty-six pediatric patients with complete spinal cord injury and 26 age- and sex-matched healthy children as healthy controls were recruited. All participants underwent the motor imagery task-related fMRI scans, and additional motor execution scans were performed only on healthy controls. First, we compared the brain-activation patterns between motor imagery and motor execution in healthy controls. Then, we compared the brain activation of motor imagery between the 2 groups and compared the brain activation of motor imagery in pediatric patients with complete spinal cord injury and that of motor execution in healthy controls. RESULTS In healthy controls, compared with motor execution, motor imagery showed increased activation in the left inferior parietal lobule and decreased activation in the left supplementary motor area, paracentral lobule, middle cingulate cortex, and right insula. In addition, our results revealed that the 2 groups both activated the bilateral supplementary motor area, middle cingulate cortex and left inferior parietal lobule, and supramarginal gyrus during motor imagery. Compared with healthy controls, higher activation in the bilateral paracentral lobule, supplementary motor area, putamen, and cerebellar lobules III-V was detected in pediatric complete spinal cord injury during motor imagery, and the activation of these regions was even higher than that of healthy controls during motor execution. CONCLUSIONS Our study demonstrated that part of the motor imagery network was functionally preserved in pediatric complete spinal cord injury and could be activated through motor imagery. In addition, higher-level activation in sensorimotor-related regions was also found in pediatric complete spinal cord injury during motor imagery. Our findings may provide a theoretic basis for the application of motor imagery training in pediatric complete spinal cord injury.
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Affiliation(s)
- L Wang
- From the Department of Radiology and Nuclear Medicine (L.W., W.M.Z., Y.H.Y., B.N.Y., X.C., J.L., N.C.), Xuanwu Hospital, Capital Medical University, Beijing, China
- Beijing Key Laboratory of Magnetic Resonance Imaging and Brain Informatics (L.W., W.M.Z., Y.H.Y., B.N.Y., X.C., J.L., N.C.), Beijing, China
| | - W M Zheng
- From the Department of Radiology and Nuclear Medicine (L.W., W.M.Z., Y.H.Y., B.N.Y., X.C., J.L., N.C.), Xuanwu Hospital, Capital Medical University, Beijing, China
- Beijing Key Laboratory of Magnetic Resonance Imaging and Brain Informatics (L.W., W.M.Z., Y.H.Y., B.N.Y., X.C., J.L., N.C.), Beijing, China
| | - T F Liang
- Department of Medical Imaging (T.F.L., B.W.L.), Affiliated Hospital of Hebei Engineering University, Handan, Hebei Province, China
| | - Y H Yang
- From the Department of Radiology and Nuclear Medicine (L.W., W.M.Z., Y.H.Y., B.N.Y., X.C., J.L., N.C.), Xuanwu Hospital, Capital Medical University, Beijing, China
- Beijing Key Laboratory of Magnetic Resonance Imaging and Brain Informatics (L.W., W.M.Z., Y.H.Y., B.N.Y., X.C., J.L., N.C.), Beijing, China
| | - B N Yang
- From the Department of Radiology and Nuclear Medicine (L.W., W.M.Z., Y.H.Y., B.N.Y., X.C., J.L., N.C.), Xuanwu Hospital, Capital Medical University, Beijing, China
- Beijing Key Laboratory of Magnetic Resonance Imaging and Brain Informatics (L.W., W.M.Z., Y.H.Y., B.N.Y., X.C., J.L., N.C.), Beijing, China
| | - X Chen
- From the Department of Radiology and Nuclear Medicine (L.W., W.M.Z., Y.H.Y., B.N.Y., X.C., J.L., N.C.), Xuanwu Hospital, Capital Medical University, Beijing, China
- Beijing Key Laboratory of Magnetic Resonance Imaging and Brain Informatics (L.W., W.M.Z., Y.H.Y., B.N.Y., X.C., J.L., N.C.), Beijing, China
| | - Q Chen
- Department of Radiology (Q.C.), Beijing Friendship Hospital, Capital Medical University, Beijing, China
| | - X J Li
- Department of Radiology (X.J.L.), China Rehabilitation Research Center, Beijing, China
| | - J Lu
- From the Department of Radiology and Nuclear Medicine (L.W., W.M.Z., Y.H.Y., B.N.Y., X.C., J.L., N.C.), Xuanwu Hospital, Capital Medical University, Beijing, China
- Beijing Key Laboratory of Magnetic Resonance Imaging and Brain Informatics (L.W., W.M.Z., Y.H.Y., B.N.Y., X.C., J.L., N.C.), Beijing, China
| | - B W Li
- Department of Medical Imaging (T.F.L., B.W.L.), Affiliated Hospital of Hebei Engineering University, Handan, Hebei Province, China
| | - N Chen
- From the Department of Radiology and Nuclear Medicine (L.W., W.M.Z., Y.H.Y., B.N.Y., X.C., J.L., N.C.), Xuanwu Hospital, Capital Medical University, Beijing, China
- Beijing Key Laboratory of Magnetic Resonance Imaging and Brain Informatics (L.W., W.M.Z., Y.H.Y., B.N.Y., X.C., J.L., N.C.), Beijing, China
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23
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Yang YH, Ku X, Gong YN, Meng FL, Dongbo DP, Guo YH, Wei XY, Long LJ, Fan JM, Zhang MJ, Zhang JZ, Yan XM. [Prediction of superantigen active sites and clonal expression of staphylococcal enterotoxin-like W]. Zhonghua Liu Xing Bing Xue Za Zhi 2023; 44:629-635. [PMID: 37147837 DOI: 10.3760/cma.j.cn112338-20220822-00725] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Subscribe] [Scholar Register] [Indexed: 05/07/2023]
Abstract
Objective: The docking and superantigen activity sites of staphylococcal enterotoxin-like W (SElW) and T cell receptor (TCR) were predicted, and its SElW was cloned, expressed and purified. Methods: AlphaFold was used to predict the 3D structure of SElW protein monomers, and the protein models were evaluated with the help of the SAVES online server from ERRAT, Ramachandran plot, and Verify_3D. The ZDOCK server simulates the docking conformation of SElW and TCR, and the amino acid sequences of SElW and other serotype enterotoxins were aligned. The primers were designed to amplify selw, and the fragment was recombined into the pMD18-T vector and sequenced. Then recombinant plasmid pMD18-T was digested with BamHⅠand Hind Ⅲ. The target fragment was recombined into the expression plasmid pET-28a(+). After identification of the recombinant plasmid, the protein expression was induced by isopropyl-beta-D- thiogalactopyranoside. The SElW expressed in the supernatant was purified by affinity chromatography and quantified by the BCA method. Results: The predicted three-dimensional structure showed that the SElW protein was composed of two domains, the amino-terminal and the carboxy-terminal. The amino-terminal domain was composed of 3 α-helices and 6 β-sheets, and the carboxy-terminal domain included 2 α-helices and 7 antiparallel β-sheets composition. The overall quality factor score of the SElW protein model was 98.08, with 93.24% of the amino acids having a Verify_3D score ≥0.2 and no amino acids located in disallowed regions. The docking conformation with the highest score (1 521.328) was selected as the analysis object, and the 19 hydrogen bonds between the corresponding amino acid residues of SElW and TCR were analyzed by PyMOL. Combined with sequence alignment and the published data, this study predicted and found five important superantigen active sites, namely Y18, N19, W55, C88, and C98. The highly purified soluble recombinant protein SElW was obtained with cloning, expression, and protein purification. Conclusions: The study found five superantigen active sites in SElW protein that need special attention and successfully constructed and expressed the SElW protein, which laid the foundation for further exploration of the immune recognition mechanism of SElW.
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Affiliation(s)
- Y H Yang
- State Key Laboratory of Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China
| | - X Ku
- Key Lab of Intelligent Information Processing, Institute of Computing Technology, Chinese Academy of Sciences, Beijing 100190, China University of Chinese Academy of Sciences, Beijing 100049, China
| | - Y N Gong
- State Key Laboratory of Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China
| | - F L Meng
- State Key Laboratory of Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China
| | - D P Dongbo
- Key Lab of Intelligent Information Processing, Institute of Computing Technology, Chinese Academy of Sciences, Beijing 100190, China University of Chinese Academy of Sciences, Beijing 100049, China Big Data Academy, Zhongke, Zhengzhou 450046, China
| | - Y H Guo
- State Key Laboratory of Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China Baotou Medical College, Inner Mongolia University of Science and Technology, Baotou 014040, China
| | - X Y Wei
- State Key Laboratory of Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China
| | - L J Long
- State Key Laboratory of Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China China Medical University, Shenyang 110122, China
| | - J M Fan
- State Key Laboratory of Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China
| | - M J Zhang
- State Key Laboratory of Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China
| | - J Z Zhang
- State Key Laboratory of Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China
| | - X M Yan
- State Key Laboratory of Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China
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24
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Chien CF, Huang LC, Li KY, Yang YH. Cognitive effects of cilostazol in Alzheimer's dementia patients with peripheral arterial occlusive disease: A case-control study. Geriatr Gerontol Int 2023; 23:194-199. [PMID: 36682741 DOI: 10.1111/ggi.14542] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2022] [Revised: 11/29/2022] [Accepted: 12/27/2022] [Indexed: 01/24/2023]
Abstract
AIM Alzheimer's dementia (AD) is a slowly progressing neurodegenerative disease, characterized by beta-amyloid deposition and neurofibrillary tangles. Peripheral atherosclerosis may deteriorate these processes via endothelial cell dysfunction and microvascular impairment. Cilostazol - a phosphodiesterase 3 inhibitor - is a standard treatment for peripheral arterial occlusive disease and a potential treatment for preserving cognitive function in AD patients. We aimed to determine whether cilostazol is beneficial in AD patients with peripheral arterial occlusive disease by evaluating Cognitive Abilities Screening Instrument (CASI) domains. METHODS We conducted a retrospective case-control study of 62 AD patients in Taiwan. Thirty-one patients had peripheral arterial occlusive disease and were receiving cilostazol plus acetylcholinesterase inhibitors (AchEIs) or N-methyl d-aspartate antagonists, whereas 31 others were receiving AchEIs. Therapeutic responses were measured using neuropsychological assessments. The CASI was administered at baseline and 12 months later; different domains were analyzed between the groups using univariate and multivariate analyses. RESULTS Age, sex, education duration, ApoE ε4 gene status, and initial Mini-Mental State Examination scores were not different between the two groups. Except for fluency, no CASI domains showed a statistical difference between the groups. A significant difference was observed in category fluency (P = 0.010). In the logistic regression analysis, after adjusting for covariate effects, category fluency still showed a significant difference between the groups (P = 0.013). CONCLUSIONS In AD patients with peripheral arterial occlusive disease who have received Food and Drug Administration-approved pharmacotherapy, cilostazol, as an antiplatelet, may help to preserve general cognitive function, with significant preservation in category fluency. Geriatr Gerontol Int 2023; 23: 194-199.
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Affiliation(s)
- Ching-Fang Chien
- Department of Neurology, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung, Taiwan.,Neuroscience Research Center, Kaohsiung Medical University, Kaohsiung, Taiwan.,Department of Neurology, Kaohsiung Municipal Ta-Tung Hospital, Kaohsiung Medical University Hospital, Kaohsiung, Taiwan
| | - Ling-Chun Huang
- Department of Neurology, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung, Taiwan.,Neuroscience Research Center, Kaohsiung Medical University, Kaohsiung, Taiwan.,Department of Neurology, Kaohsiung Municipal Ta-Tung Hospital, Kaohsiung Medical University Hospital, Kaohsiung, Taiwan
| | - Kuan-Ying Li
- Department of Neurology, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung, Taiwan.,Neuroscience Research Center, Kaohsiung Medical University, Kaohsiung, Taiwan.,Department of Neurology, Kaohsiung Municipal Ta-Tung Hospital, Kaohsiung Medical University Hospital, Kaohsiung, Taiwan
| | - Yuan-Han Yang
- Department of Neurology, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung, Taiwan.,Neuroscience Research Center, Kaohsiung Medical University, Kaohsiung, Taiwan.,Department of Neurology, Kaohsiung Municipal Ta-Tung Hospital, Kaohsiung Medical University Hospital, Kaohsiung, Taiwan.,School of Post-Baccalaureate Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan
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25
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Li KY, Hsu CY, Yang YH. A review of cognitive and behavioral outcomes of Brivaracetam. Kaohsiung J Med Sci 2023; 39:104-114. [PMID: 36661137 DOI: 10.1002/kjm2.12648] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2022] [Revised: 12/14/2022] [Accepted: 12/21/2022] [Indexed: 01/21/2023] Open
Abstract
Anti-seizure medications (ASMs) can cause cognitive or behavioral adverse drug reactions, which is an important consideration when selecting an appropriate ASM. Brivaracetam (BRV) is a newer synaptic vesicle protein 2A ligand, which is expected to result in fewer neuropsychiatric adverse effects due to its mechanism of action. To understand the impact of BRV on cognition and behavior compared with other ASMs, we conducted a review of the literature using the Cochrane Library, PubMed/MEDLINE, and Embase. After the screening process, a total of two animal studies, one randomized controlled trial, one pooled analysis of clinical trials, one controlled study, and nine observational studies were included. The animal studies showed that BRV did not worsen cognitive or behavioral performance in rodents. The human studies showed that BRV was associated with fewer cognitive adverse events compared with other second- or third-generation ASMs. In addition, BRV was less associated with behavioral disturbance than levetiracetam. In summary, this review revealed that BRV has a limited impact on cognition and behavior. For patients who are intolerant to levetiracetam and have levetiracetam-related behavioral side effects, switching to BRV could be beneficial. However, heterogeneity between studies resulted in low-quality of evidence, and further trials are needed to confirm the findings.
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Affiliation(s)
- Kuan-Ying Li
- Department of Neurology, Kaohsiung Municipal Ta-Tung Hospital, Kaohsiung, Taiwan.,Graduate Institute of Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan.,Department of Neurology, Kaohsiung Medical University Hospital, Kaohsiung, Taiwan
| | - Chung-Yao Hsu
- Graduate Institute of Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan.,Department of Neurology, Kaohsiung Medical University Hospital, Kaohsiung, Taiwan.,Neuroscience Research Center, Kaohsiung Medical University, Kaohsiung, Taiwan.,Department of Neurology, School of Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan
| | - Yuan-Han Yang
- Department of Neurology, Kaohsiung Municipal Ta-Tung Hospital, Kaohsiung, Taiwan.,Graduate Institute of Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan.,Department of Neurology, Kaohsiung Medical University Hospital, Kaohsiung, Taiwan.,Neuroscience Research Center, Kaohsiung Medical University, Kaohsiung, Taiwan.,Department of Neurology, School of Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan.,Department of and Master's Program in Neurology, Faculty of Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan
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Li KY, Chien CF, Huang TW, Yang YH. The Use of Verbal and Nonverbal Memory Tests for Alzheimer's Disease Screening in Taiwan Chinese. Am J Alzheimers Dis Other Demen 2023; 38:15333175231201036. [PMID: 37683179 PMCID: PMC10623994 DOI: 10.1177/15333175231201036] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/10/2023]
Abstract
Patients with Alzheimer's disease typically have initial deficits in memory. Memory testing can be categorized as verbal or nonverbal by the modality of the stimuli used. We compared the discriminative validity of selected verbal and nonverbal memory tests between non-dementia and Alzheimer's disease in Taiwan. Ninety-eight patients with mild Alzheimer's disease and 269 non-dementia individuals underwent story recall test (immediate and delayed recall), and constructional praxis test (copy and delayed recall). The receiver-operating characteristic curve and area under the curve were evaluated to compare between tests. Patients with Alzheimer's disease performed poorly across all memory tests, and the receiver-operating characteristic curve analysis indicated that story recall immediate and relayed recall, and constructional praxis delayed recall had good classification accuracy with area under the curve of .90, .87 and .87 respectively. These results provide support that both verbal and nonverbal memory tests are reliable measure for screening patients with Alzheimer's disease.
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Affiliation(s)
- Kuan-Ying Li
- Department of Neurology, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung, Taiwan
- Neuroscience Research Center, Kaohsiung Medical University, Kaohsiung, Taiwan
- Department of Neurology, Kaohsiung Municipal Ta-Tung Hospital, Kaohsiung Medical University Hospital, Kaohsiung, Taiwan
| | - Ching-Fang Chien
- Department of Neurology, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung, Taiwan
- Neuroscience Research Center, Kaohsiung Medical University, Kaohsiung, Taiwan
- Department of Neurology, Kaohsiung Municipal Ta-Tung Hospital, Kaohsiung Medical University Hospital, Kaohsiung, Taiwan
| | - Tang-Wei Huang
- School of Post-Baccalaureate Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan
| | - Yuan-Han Yang
- Department of Neurology, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung, Taiwan
- Neuroscience Research Center, Kaohsiung Medical University, Kaohsiung, Taiwan
- Department of Neurology, Kaohsiung Municipal Ta-Tung Hospital, Kaohsiung Medical University Hospital, Kaohsiung, Taiwan
- School of Post-Baccalaureate Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan
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Jhang KM, Wang WF, Hsu KN, Huang SC, Yang SH, Huang LC, Yang YH. A 12-Year Comparison of Alzheimer's Dementia Patients With Their Informants in Taiwan. Am J Alzheimers Dis Other Demen 2023; 38:15333175231218089. [PMID: 38016118 PMCID: PMC10685789 DOI: 10.1177/15333175231218089] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2023]
Abstract
BACKGROUND To update the characteristics of patients with Alzheimer's disease (AD) and their informants in Taiwan and compare them from 12 years ago. METHODS 1218 patients with AD and their informants were recruited from six hospitals in Taiwan. The uniform data set version 3.0 (UDS3, form A1-A3) were administered. RESULTS Compared with the first registration from 2010-2012 (n = 691), the mean clinical dementia rating sum of boxes score was significantly lower, more patients living independently, and more informants not living together with the patients. A total of 11.2%, 4.1%, 12.8%, and 0.5% of the patients had a reported history of cognitive impairment in their mothers, fathers, siblings, and children, respectively. CONCLUSION Compared with the data from 2010, patients have been diagnosed at a milder disease stage, and their informants used telephone contact more frequently instead of living with the patients. Family histories of cognitive impairment in patients with AD remain frequent.
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Affiliation(s)
- Kai-Ming Jhang
- Department of Neurology, Changhua Christian Hospital, Changhua, Taiwan
| | - Wen-Fu Wang
- Department of Neurology, Changhua Christian Hospital, Changhua, Taiwan
| | - Kuang-Nan Hsu
- Department of Neurology, Taitung MacKay Memorial Hospital, Taitung, Taiwan
| | - Shang-Chien Huang
- Department of Psychiatry, Tungs' Taichung MetroHarbor Hospital, Taichung, Taiwan
| | | | - Ling-Chun Huang
- Department of Neurology, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung, Taiwan
- Neuroscience Research Center, Kaohsiung Medical University, Kaohsiung, Taiwan
- Department of Neurology, Kaohsiung Municipal Ta-Tung Hospital, Kaohsiung Medical University Hospital, Kaohsiung, Taiwan
| | - Yuan-Han Yang
- Department of Neurology, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung, Taiwan
- Neuroscience Research Center, Kaohsiung Medical University, Kaohsiung, Taiwan
- Department of Neurology, Kaohsiung Municipal Ta-Tung Hospital, Kaohsiung Medical University Hospital, Kaohsiung, Taiwan
- School of Post-Baccalaureate Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan
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Huang LC, Yang YH. The Association Between Subjective Mental Impairment and Objective Cognitive Performance in Non-Demented, Very Mild and Mild Demented Individuals. Am J Alzheimers Dis Other Demen 2023; 38:15333175231196061. [PMID: 37559392 PMCID: PMC10623901 DOI: 10.1177/15333175231196061] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/11/2023]
Abstract
OBJECTIVES Explore associations between subjective mental impairment, objective cognitive performance, and subsequent decline in older individuals with different cognitive statuses in Taiwan. METHODS Use self-reported questionnaire and cognitive abilities screening instrument to assess subjective and objective cognitive function. Categorize participants as reporters or non-reporters based on subjective reports. Conduct t-tests and regression analysis. RESULTS 206 participants were assessed: 99 cognitively intact (CI), 44 very mild dementia, and 63 mild dementia. In the CI group, reporters in memory, orientation, daily life, community affairs, and judgement domains performed worse than non-reporters. In very mild dementia group, reporters in memory and personality domains performed better than non-reporters. No association found between subjective reports and 1-year cognitive decline in dementia groups. CONCLUSION Association between subjective impairment and objective performance differs in CI and very mild dementia groups. Subjective reports do not predict 1-year cognitive decline in dementia patients. Longer follow-up studies needed.
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Affiliation(s)
- Ling-Chun Huang
- Department of Neurology, Kaohsiung Municipal Ta-Tung Hospital, Kaohsiung Medical University, Kaohsiung City, Taiwan
- Department of Neurology, Kaohsiung Medical University Hospital, Kaohsiung City, Taiwan
- Neuroscience Research Center, Kaohsiung Medical University, Kaohsiung City, Taiwan
| | - Yuan-Han Yang
- Department of Neurology, Kaohsiung Municipal Ta-Tung Hospital, Kaohsiung Medical University, Kaohsiung City, Taiwan
- Department of Neurology, Kaohsiung Medical University Hospital, Kaohsiung City, Taiwan
- Neuroscience Research Center, Kaohsiung Medical University, Kaohsiung City, Taiwan
- Post-baccalaureate Medicine, Kaohsiung Medical University, Kaohsiung City, Taiwan
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Ampil ER, Dizon MD, Co JAU, Ong PA, Annisafitrie FR, Saputra L, Hsieh SW, Yang YH. Mental Health of Healthcare Workers in Indonesia, Philippines, and Taiwan During COVID-19 Pandemic: a Cross-Sectional Survey. East Asian Arch Psychiatry 2022; 32:67-81. [PMID: 36578181 DOI: 10.12809/eaap2213] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/17/2023]
Abstract
OBJECTIVE This study aims to determine factors associated with hesitation and motivation to work among healthcare workers (HCWs) in Indonesia, Philippines, and Taiwan during the COVID-19 pandemic. METHODS HCWs aged ≥20 years working in five hospitals in Indonesia, Philippines, and Taiwan were invited to participate in a self-administered mental health survey between 30 January 2021 and 31 August 2021. The 33-item questionnaire measured HCWs' perceived stress, level of motivation and hesitation to work, attitude and confidence regarding work, attitude on the policies by the hospital and government, and discrimination against the occupation. Each item was rated in a 4-point Likert scale from 0 (never) to 3 (always). Sociodemographic and occupational factors were also considered in data analysis. RESULTS Of 1349 participants, 671 (49.7%) were from Indonesia, 365 (27.1%) from Philippines, and 313 (23.2%) from Taiwan. Overall, 20.8% of participants showed motivation to work and only 4.7% showed hesitation to work. Compared with HCWs in their 20s, HCWs in their 30s, 40s, and 50s had significantly lower hesitation to work (adjusted odds ratio [AOR] = 0.42, 0.33, and 0.11, respectively; p = 0.01, 0.02, and 0.03, respectively). Similarly, compared with HCWs in their 20s, HCWs in their 30, 40s, 50s, 60s, and 70s had significantly higher motivation to work (AOR = 1.71, 2.98, 5.92, 5.40, and 7.15, respectively; p = 0.01, <0.001, <0.001, <0.001, and 0.02, respectively). Clinical staff had lower motivation to work than non-clinical staff (AOR = 0.60, p = 0.01). Those who worked in high-risk areas had lower hesitation to work than those who worked in low-risk areas (AOR = 0.51, p = 0.03). Overall, higher hesitation to work was associated with 'wanting to leave job/study' (AOR = 4.54, p = 0.03) and 'feeling isolated' (AOR = 4.84, p = 0.01), whereas lower hesitation to work was associated with 'being confident about the future of medical practice' (AOR = 0.33, p = 0.02) and 'burden of child care including lack of nursery' (AOR = 0.30, p = 0.04). Higher motivation to work was associated with 'feeling of being protected by hospital' (AOR = 2.23, p = 0.001), 'confident in my country's pandemic prevention policy' (AOR = 2.19, p = 0.001), 'feeling of elevated mood' (AOR = 4.14, p = 0.004), and 'being confident about the future of medical practice' (AOR = 2.56, p < 0.001), whereas lower motivation to work was associated with 'exhausted mentally' (AOR = 0.35, p = 0.03). CONCLUSION Various stress-related factors contribute to hesitation and motivation to work among HCWs in Indonesia, Philippines, and Taiwan during the COVID-19 pandemic. Proactive and practical strategies should be implemented to protect HCWs from the negative behavioural and emotional effects of the COVID-19 pandemic.
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Affiliation(s)
- E R Ampil
- Department of Neuroscience and Behavioral Medicine, Faculty of Medicine and Surgery, University of Santo Tomas, Manila, Philippines
| | - M D Dizon
- Department of Neuroscience and Behavioral Medicine, University of Santo Tomas Hospital, Manila, Philippines
| | - J A U Co
- Department of Neuroscience and Behavioral Medicine, University of Santo Tomas Hospital, Manila, Philippines
| | - P A Ong
- Department of Neurology, Hasan Sadikin Hospital, Universitas Padjadjaran, Bandung, Indonesia
| | - F R Annisafitrie
- Department of Neurology, Hasan Sadikin Hospital, Universitas Padjadjaran, Bandung, Indonesia
| | - L Saputra
- Department of Psychiatry, Hasan Sadikin Hospital, Universitas Padjadjaran, Bandung, Indonesia
| | - S W Hsieh
- Department of Neurology, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung, Taiwan
| | - Y H Yang
- Department of Neurology, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung, Taiwan
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Yang YH, Hsieh SW, Chang HW, Sung JL, Chuu CP, Yen CW, Hour TC. Gamma Frequency Inhibits the Secretion and Aggregation of Amyloid-β and Decreases the Phosphorylation of mTOR and Tau Proteins in vitro. J Alzheimers Dis 2022; 90:917-928. [DOI: 10.3233/jad-220307] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Abstract
Background: Alzheimer’s disease (AD) was the main cause of dementia in an aging society; unfortunately, there is no effective treatment for AD now. Meditation has been reported to thicken the cerebral cortex, and gamma wave at a frequency of 40 hertz (Hz) was recorded during the meditation process from the brain. Previous study showed that non-invasive scintillation gamma frequency oscillation increased the space in recognition and memory of auditory cortex hippocampal gyrus in AD mice model. However, the AD-related molecular change by exposure of 40 Hz gamma frequency in brain cells was still unclear. Objective: We investigated the AD-related molecular change by exposure of 40 Hz gamma frequency in SH-SY5Y cells. Methods: We designed the light and sound generators at 40 Hz gamma frequency for this study. SH-SY5Y cells were exposed to sound or light of 40 Hz gamma frequency, respectively. The concentrations of amyloid-β40 (Aβ40) and amyloid-β42 (Aβ42) were quantified by enzyme-linked immunosorbent assay. The protein levels were examined by western blotting. The aggregation of Aβ42 was examined by thioflavin T assay. Results: Our results showed that the secretion of Aβ, phosphorylation of AKT, mTOR, and tau, and aggregation of Aβ42 were significantly inhibited by 40 Hz gamma frequency in SH-SY5Y cells. The phosphorylation of 4E-BP1, downstream of mTOR, was induced by 40 Hz gamma frequency in SH-SY5Y cells. Conclusion: Our study showed 40 Hz gamma frequency involved in the inhibition of secretion and aggregation of Aβ and inhibition of p-Tau protein expression through the mTOR/4E-BP1/Tau signaling pathway.
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Affiliation(s)
- Yuan-Han Yang
- Department of Neurology, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung, Taiwan
- Master’s Program in Neurology, Faculty of Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan
- Neuroscience Research Center, Kaohsiung Medical University, Kaohsiung, Taiwan
- Department of Neurology, Kaohsiung Municipal Ta-Tung Hospital, Kaohsiung, Taiwan
| | - Sun-Wung Hsieh
- Department of Neurology, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung, Taiwan
- Neuroscience Research Center, Kaohsiung Medical University, Kaohsiung, Taiwan
- Department of Neurology, Kaohsiung Municipal Hsiao-Kang Hospital, Kaohsiung Medical University, Kaohsiung, Taiwan
- Department of Neurology, Faculty of Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan
| | - Hsi-Wen Chang
- Department of Biochemistry, School of Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan
| | - Jia-Li Sung
- Department of Mechanical and Electromechanical Engineering, National Sun Yat-Sen University, Kaohsiung, Taiwan
| | - Chih-Pin Chuu
- Institute of Cellular and System Medicine, National Health Research Institutes, Miaoli, Taiwan
| | - Chen-Wen Yen
- Master’s Program in Neurology, Faculty of Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan
- Neuroscience Research Center, Kaohsiung Medical University, Kaohsiung, Taiwan
- Department of Mechanical and Electromechanical Engineering, National Sun Yat-Sen University, Kaohsiung, Taiwan
- Department of Physical Therapy, College of Health Science, Kaohsiung Medical University, Kaohsiung, Taiwan
| | - Tzyh-Chyuan Hour
- Neuroscience Research Center, Kaohsiung Medical University, Kaohsiung, Taiwan
- Department of Biochemistry, School of Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan
- Department of Medical Research, Kaohsiung Medical University Hospital, Kaohsiung, Taiwan
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Chen MA, Liu CK, Yang YH, Huang ST, Yen CW, Kabasawa Y, Huang HL. Clinical-based oral rehabilitation programme improved the oral diadochokinesis and swallowing function of older patients with dementia: A randomized controlled trial. J Oral Rehabil 2022; 49:1163-1172. [PMID: 36152018 DOI: 10.1111/joor.13375] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2021] [Revised: 07/09/2022] [Accepted: 09/13/2022] [Indexed: 11/28/2022]
Abstract
OBJECTIVE To evaluate the effectiveness of a clinical-based oral function intervention on oral function and care behaviours in older patients with mild dementia. METHOD Participants were randomly assigned to the experimental group (EG) and control group (CG). Both groups received a leaflet on oral health-related knowledge, and the EG also received an oral function intervention, which was a brief one-on-one lesson concerning oral exercise and preventive oral care. Oral exercise included turning the head, pouting lips, bulging cheeks, stretching tongue, articulation exercise, and salivary gland massages. A reminder phone call was made every 2 weeks. Perceived xerostomia and dysphagia, plaque index (PI), Winkel tongue-coating index (WTCI), repetitive saliva-swallowing test (RSST), oral diadochokinesis (DDK), and oral care behaviours were recorded at baseline and at 3-month follow up. Generalized Estimating Equations (GEE) were used to analyze the indicated effects. RESULTS The EG(n=59) exhibited greater improvement to the CG(n=55) in RSST [β= 0.7; effect size (ES) = 0.45], the syllables /pa/ (β = 3.1; ES = 0.37) and /ka/ (β = 2.7; ES = 0.40) in oral DDK, PI (β = -0.2; ES = 0.52), and WTCI (β = -0.8; ES = 0.38). Moreover, the EG exhibited better preventive behaviours in regular dental visits [adjusted odds ratio (aOR) = 2.2], daily mouth cleaning frequency (aOR = 1.6), and mouth cleaning before sleep (aOR = 1.3). CONCLUSION The brief clinical-based intervention was effective in improving the swallowing function, oral DDK, and plaque control of older patients with mild dementia at 3-month follow-up.
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Affiliation(s)
- Ming-An Chen
- School of Dentistry, College of Dental Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan
| | - Ching-Kuan Liu
- Institute of Precision Medicine, National Sun Yat-sen University, Kaohsiung, Taiwan.,Department of Neurology, Kaohsiung Chang Gung Memorial Hospital, Kaohsiung, Taiwan
| | - Yuan-Han Yang
- Neuroscience Research Center, Kaohsiung Medical University, Kaohsiung, Taiwan.,Department of Neurology, Kaohsiung Medical University Hospital, Kaohsiung, Taiwan.,Department of Neurology, Kaohsiung Municipal Ta-Tung Hospital, Kaohsiung, Taiwan.,School of Post-Baccalaureate Medicine, Colleague of Medicine, Kaohsiung. Medical University, Kaohsiung, Taiwan
| | - Shun-Te Huang
- Department of Oral Hygiene, College of Dental Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan.,Division of Pediatric and Special Needs Dentistry, Department of Dentistry, Kaohsiung Medical University Hospital, Kaohsiung, Taiwan
| | - Cheng-Wei Yen
- Division of Pediatric and Special Needs Dentistry, Department of Dentistry, Kaohsiung Medical University Hospital, Kaohsiung, Taiwan
| | - Yuji Kabasawa
- Oral Care for Systemic Health Support, Faculty of Dentistry, School of Oral Health Care Sciences, Graduate School, Tokyo Medical and Dental University, Tokyo, Japan
| | - Hsiao-Ling Huang
- Department of Oral Hygiene, College of Dental Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan
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Yeh WC, Hsu CY, Li KY, Chien CF, Huang LC, Yang YH. Association between Subclinical Epileptiform Discharge and the Severity of Cognitive Decline in Alzheimer’s Disease: A Longitudinal Cohort Study. J Alzheimers Dis 2022; 90:305-312. [DOI: 10.3233/jad-220567] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
Background: Alzheimer’s disease (AD) is the most common type of dementia. Aging is a risk factor for both AD and seizures. Subclinical epileptiform discharge (SED) has no evident clinical manifestation in patients with AD. Therefore, SED is liable to be overlooked in these patients since electroencephalography is not routinely performed in clinical settings. Previous studies about the association between SED and AD have yielded inconsistent results. Objective: The current study aimed to evaluate the prevalence of SED and its effect on AD severity and clinical outcomes. Methods: Patients with AD from Kaohsiung Municipal Ta-tung Hospital were included in this study. International 10–20 system scalp electroencephalography for 13 minutes was performed to detect SED. Clinical outcomes of patients with and without SED were assessed by neuropsychological tests [Cognitive Abilities Screening Instrument (CASI), Mini-Mental State Examination (MMSE), and Clinical Dementia Rating Scale Sum of Boxes (CDR-SOB)]. Results: 288 patients (mean age 80.5 years, 60.4% female) were enrolled in this study. Fifty-seven (19.8%) out of 288 patients with AD had SED. The prevalence of SED increased with the severity of cognitive impairment. Compared with patients without SED, those with SED showed significantly greater decline in CASI (–9.32 versus –3.52 points, p = 0.0001) and MMSE (–2.52 versus –1.12 points, p = 0.0042) scores in one year. Conclusion: SED may play a significant role in AD progression and is a potential therapeutic target.
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Affiliation(s)
- Wei-Chih Yeh
- Department of Neurology, Kaohsiung Municipal Ta-Tung Hospital, Kaohsiung Medical University Hospital, Kaohsiung City, Taiwan
- Graduate Institute of Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung City, Taiwan
| | - Chung-Yao Hsu
- Department of Neurology, Kaohsiung Medical University Hospital, Kaohsiung City, Taiwan
- Department of Neurology, College of Medicine, Kaohsiung Medical University, Kaohsiung City, Taiwan
- Neuroscience Research Center, Kaohsiung Medical University, Kaohsiung, Taiwan
| | - Kuan-Ying Li
- Department of Neurology, Kaohsiung Municipal Ta-Tung Hospital, Kaohsiung Medical University Hospital, Kaohsiung City, Taiwan
- Graduate Institute of Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung City, Taiwan
| | - Ching-Fang Chien
- Department of Neurology, Kaohsiung Municipal Ta-Tung Hospital, Kaohsiung Medical University Hospital, Kaohsiung City, Taiwan
- Graduate Institute of Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung City, Taiwan
| | - Ling-Chun Huang
- Department of Neurology, Kaohsiung Municipal Ta-Tung Hospital, Kaohsiung Medical University Hospital, Kaohsiung City, Taiwan
| | - Yuan-Han Yang
- Department of Neurology, Kaohsiung Municipal Ta-Tung Hospital, Kaohsiung Medical University Hospital, Kaohsiung City, Taiwan
- Department of Neurology, College of Medicine, Kaohsiung Medical University, Kaohsiung City, Taiwan
- Neuroscience Research Center, Kaohsiung Medical University, Kaohsiung, Taiwan
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Yang YH, Situmeang RFV, Ong PA, Liscic RM. Application of virtual reality for dementia management. Brain Science Advances 2022. [DOI: 10.26599/bsa.2022.9050019] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022] Open
Abstract
Age is recognized as the major factors of dementia, especially in for Alzheimer’s disease (AD). Given to the aged population, the increased number of demented population has been receiving a great impact in our society. Unfortunately, so far, no cured medicines have been demonstrated to provide effective treatment in AD. The combination of pharmacological and non-pharmacological interventions has been proposed to manage dementia with potential benefits especially in decreasing caregiver’s burden and behavior, as well as psychological problems of demented patients. Recently, giving to the glorious development in digital technologies, the virtual reality, one of the non-pharmacological interventions has been used extensively in dementia managements for its strengths which can be adapted in accordance with the heterogeneous needs from demented patients and their caregivers. However, various study designs and other reasons made these results difficult to be interpreted. In this review our goal is to provide a better understanding for these points.
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Affiliation(s)
- Yuan-Han Yang
- Department of Neurology, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung, Taiwan, China
- Department of Neurology, Kaohsiung Municipal Ta-Tung Hospital, Kaohsiung Medical University Hospital, Kaohsiung, Taiwan, China
- Neuroscience Research Center, Kaohsiung Medical University, Kaohsiung, Taiwan, China
| | - Rocksy FV Situmeang
- Siloam Hospitals Lippo Village, Pelita Harapan University, Banten, Indonesia
| | - Paulus Anam Ong
- Department of Neurology, Hasan Sadikin Hospital, Bandung, Indonesia
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Huang LC, Chen MH, Chuu CP, Li KY, Hour TC, Yang YH. Plasma biomarkers and their correlation in adult children of parents with Alzheimer’s disease. Front Aging Neurosci 2022; 14:977515. [PMID: 36110426 PMCID: PMC9468332 DOI: 10.3389/fnagi.2022.977515] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2022] [Accepted: 08/02/2022] [Indexed: 11/22/2022] Open
Abstract
Family history (FH) of late-onset Alzheimer’s disease (AD) is associated with changes in several cerebrospinal fluid (CSF) biomarkers in cognitively normal individuals. However, potential changes in plasma biomarkers remain unknown. This study aimed to evaluate potential plasma biomarkers and their correlation in cognitively normal adult children (AC) and to compare this data with their AD parents and unrelated non-demented controls (NC). Participants with dementia due to AD, their AC and NC were recruited. Plasma samples were assessed for amyloid beta (Aβ)1–42, Aβ1–40, total tau (T-tau) and phosphorylated tau (P-tau). Kruskal–Wallis test was used for the comparison of this data between the three groups. Spearman rank correlation was used for evaluation of the correlations between Aβ1–40 and Aβ1–42, and T-tau and P-tau in the AD and AC groups. A total of 99 subjects completed the assessment (30 had AD; 38 were AC group; and 31 were NC). Compared with the NC group, there were significantly higher levels of Aβ1–40, P-tau, and P-tau/T-tau ratio, and lower levels of Aβ1–42 and Aβ1–42/Aβ1–40 ratio in the AD and AC groups. The correlation between the level of Aβ1–42 and Aβ1–40 and level of T-tau and P-tau was only observed in the AC but not in the AD group. AC of AD parents demonstrate some indicators of AD like their parents. Disruption to the correlation between Aβ and tau in AD may be a biomarker for the development of AD in AC, which should be examined in a longitudinal cohort.
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Affiliation(s)
- Ling-Chun Huang
- Department of Neurology, Kaohsiung Municipal Ta-Tung Hospital, Kaohsiung Medical University, Kaohsiung City, Taiwan
- Department of Neurology, Kaohsiung Medical University Hospital, Kaohsiung City, Taiwan
- Neuroscience Research Center, Kaohsiung Medical University, Kaohsiung City, Taiwan
| | - Ming-Hui Chen
- Neuroscience Research Center, Kaohsiung Medical University, Kaohsiung City, Taiwan
| | - Chih-Pin Chuu
- Institute of Cellular and System Medicine, National Health Research Institutes, Zhunan, Miaoli County, Taiwan
| | - Kuan-Ying Li
- Department of Neurology, Kaohsiung Municipal Ta-Tung Hospital, Kaohsiung Medical University, Kaohsiung City, Taiwan
- Department of Neurology, Kaohsiung Medical University Hospital, Kaohsiung City, Taiwan
| | - Tzyh-Chyuan Hour
- Neuroscience Research Center, Kaohsiung Medical University, Kaohsiung City, Taiwan
- Department of Biochemistry, College of Medicine, Kaohsiung Medical University, Kaohsiung City, Taiwan
| | - Yuan-Han Yang
- Department of Neurology, Kaohsiung Municipal Ta-Tung Hospital, Kaohsiung Medical University, Kaohsiung City, Taiwan
- Department of Neurology, Kaohsiung Medical University Hospital, Kaohsiung City, Taiwan
- Neuroscience Research Center, Kaohsiung Medical University, Kaohsiung City, Taiwan
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Huo C, Chen MH, Hour TC, Huang LC, Fong YO, Kuo YY, Yang YH, Chuu CP. Application of Micro-Western Array for Identifying Different Serum Protein Expression Profile among Healthy Control, Alzheimer’s Disease Patients and Patients’ Adult Children. Brain Sci 2022; 12:brainsci12091134. [PMID: 36138870 PMCID: PMC9496696 DOI: 10.3390/brainsci12091134] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2022] [Revised: 08/17/2022] [Accepted: 08/23/2022] [Indexed: 12/03/2022] Open
Abstract
(1) Background: Alzheimer’s disease (AD) is the most common form of dementia. Increased levels of inflammatory proteins have been observed in brain and plasma samples of AD patients; however, it is not clear if other serum proteins correlate to the development or disease progression of AD. (2) Methods: Micro-Western Array (MWA) is a high-throughput antibody-based proteomics system which allows detection of the expression levels of 24–96 different proteins within 6–30 samples simultaneously. We applied MWA to explore potential serum protein biomarkers correlated to the development and progression of AD by examining the difference in serum protein profile of 31 healthy control (HC), 30 patients with AD and 30 patients’ adult children (ACS). (3) Results: Compared to HC, AD and ACS express similar pattern of serum proteins, including higher protein levels of ABCA1, ABCG1, SREBP1 and LXRβ but lower protein levels of ApoD, ApoE, ApoH, c_Myc, COX2 and Hippo-YAP signaling proteins. AD patients had higher serum levels of ABCG1, ApoD, ApoH, COX2, LXRα and YAP, but lower levels of ABCA1, ApoE, c_Myc, LATS1, MST1, MST2, Nanog, NFκB_p50, PPARγ and SREBP2, as compared to ACS. Pearson’s correlation analysis revealed that the protein expression level of ApoE, c_Myc, LATS1, MST2, NFκB p50, PPARγ and SREBP1 was negatively correlated to age, while that of ApoE, c_Myc, LATS1, MST1, MST2, Nanog, NFκB p50 and PPARγ was positively correlated to age. (4) Conclusions: We identified a group of serum proteins which may correlate to disease progression of AD and can be potential diagnostic serum protein biomarkers.
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Affiliation(s)
- Chieh Huo
- Institute of Cellular and System Medicine, National Health Research Institutes, Miaoli 35053, Taiwan
| | - Ming-Hui Chen
- Neuroscience Research Center, Kaohsiung Medical University, Kaohsiung City 80708, Taiwan
| | - Tzyh-Chyuan Hour
- Neuroscience Research Center, Kaohsiung Medical University, Kaohsiung City 80708, Taiwan
- Department of Biochemistry, School of Medicine, Kaohsiung Medical University, Kaohsiung City 80708, Taiwan
| | - Ling-Chun Huang
- Department of Biochemistry, School of Medicine, Kaohsiung Medical University, Kaohsiung City 80708, Taiwan
- Department of Neurology, Kaohsiung Municipal Ta-Tung Hospital, Kaohsiung Medical University, Kaohsiung City 80145, Taiwan
- Department of Neurology, Kaohsiung Medical University Hospital, Kaohsiung City 80756, Taiwan
| | - Yi-On Fong
- Department of Neurology, Kaohsiung Medical University Hospital, Kaohsiung City 80756, Taiwan
| | - Ying-Yu Kuo
- Institute of Cellular and System Medicine, National Health Research Institutes, Miaoli 35053, Taiwan
| | - Yuan-Han Yang
- Neuroscience Research Center, Kaohsiung Medical University, Kaohsiung City 80708, Taiwan
- Department of Neurology, Kaohsiung Municipal Ta-Tung Hospital, Kaohsiung Medical University, Kaohsiung City 80145, Taiwan
- Department of Neurology, Kaohsiung Medical University Hospital, Kaohsiung City 80756, Taiwan
- School of Post-Baccalaureate Medicine, Kaohsiung Medical University, Kaohsiung City 80708, Taiwan
- Correspondence: (Y.-H.Y.); (C.-P.C.); Tel.: +886-7-3162-158 (Y.-H.Y.); +886-37-206-166 (ext. 37300) (C.-P.C.)
| | - Chih-Pin Chuu
- Institute of Cellular and System Medicine, National Health Research Institutes, Miaoli 35053, Taiwan
- Department of Life Sciences, National Central University, Taoyuan City 32031, Taiwan
- PhD Program for Aging, Graduate Institute of Basic Medical Science, China Medical University, Taichung City 40402, Taiwan
- Biotechnology Center, National Chung Hsing University, Taichung City 40227, Taiwan
- Correspondence: (Y.-H.Y.); (C.-P.C.); Tel.: +886-7-3162-158 (Y.-H.Y.); +886-37-206-166 (ext. 37300) (C.-P.C.)
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Huang LC, Yang YH. The Long-term Effects of Immersive Virtual Reality Reminiscence in People With Dementia: Longitudinal Observational Study. JMIR Serious Games 2022; 10:e36720. [PMID: 35877169 PMCID: PMC9361147 DOI: 10.2196/36720] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2022] [Revised: 06/14/2022] [Accepted: 07/09/2022] [Indexed: 12/03/2022] Open
Abstract
Background Novel nonpharmacological therapies are being developed to prevent cognitive decline and reduce behavioral and psychological symptoms in patients with dementia. Virtual reality (VR) reminiscence was reported to improve anxiety, apathy, and cognitive function immediately after intervention in individuals at residential aged care facilities. However, its effect on elderly patients with dementia and how long this effect could last remain unknown. Objective The aim of this paper is to investigate the effect of immersive VR reminiscence in people with dementia both immediately after and 3-6 months after intervention. Methods A pilot study was conducted in 2 dementia care units. VR reminiscence therapy sessions were conducted twice per week for a 3-month period. Cognitive function, global status, depressive symptoms, and caregiver burden were assessed before and immediately after VR intervention in 20 participants. Subsequently, 7 participants were reassessed 3-6 months after the VR intervention. Wilcoxon sign-rank test was used for statistical comparisons of the changes. Results There were no significant changes in cognitive function, global status, and caregiver burden immediately after the VR intervention, but there was a significant reduction in depressive symptoms (P=.008). Moreover, compared with the cognitive function immediately after VR, it kept declining 3-6 months after. Conclusions Immersive VR reminiscence can improve mood and preserve cognitive function in elderly patients with dementia during the period of the intervention. Studies using a control group and comparing the use of VR with traditional forms of reminiscence should be conducted in the future to confirm and expand on these findings.
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Affiliation(s)
- Ling-Chun Huang
- Department of Neurology, Kaohsiung Municipal Ta-Tung Hospital, Kaohsiung Medical University, Kaohsiung, Taiwan.,Department of Neurology, Kaohsiung Medical University Hospital, Kaohsiung, Taiwan
| | - Yuan-Han Yang
- Department of Neurology, Kaohsiung Municipal Ta-Tung Hospital, Kaohsiung Medical University, Kaohsiung, Taiwan.,Department of Neurology, Kaohsiung Medical University Hospital, Kaohsiung, Taiwan.,School of Post-Baccalaureate Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan.,Neuroscience Research Center, Kaohsiung Medical University, Kaohsiung, Taiwan
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Luo JT, Yang YH, Liu YM, Li Y, Wei WB. [Clinical characteristics and prognostic factors of 1 166 patients with uveal melanoma]. Zhonghua Yan Ke Za Zhi 2022; 58:529-534. [PMID: 35796126 DOI: 10.3760/cma.j.cn112142-20210829-00396] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
Objective: To analyze the clinical characteristics and survival of Chinese uveal melanoma (UM) patients. Methods: It was a retrospective case series study. Clinical data and demography characteristics of 1 166 UM patients who were diagnosed in Beijing Tongren Hospital from January 2004 to January 2020 were collected. The disease was followed up after informed consent was obtained. Kaplan-Meier plots were used to visualize survival outcomes, and the different risk groups were compared using the Log-rank test. The multivariate Cox proportional hazards model was used to select independent prognostic risk factors. Results: A total of 1 166 individuals (598 men, 568 women) were included in this study. The average age was (47.6±12.2) years. Median follow-up time was 38 months. Treatment included episcleral brachytherapy in 881 (75.6%) patients, local tumor resection in 38 (3.2%) patients, laser therapy in 115 (9.9%) patients and primary enucleation in 119 (10.2%) patients. In 120 patients out of the 881 patients with primary brachytherapy, enucleation was performed due to an increasing tumor size or uncontrolled neovascular glaucoma. The Kaplan-Meier survival analysis showed the 5-and 10-year metastasis rates were 18.5% and 26.8%, and the melanoma-related mortality rates were 13.6% and 22.2%, respectively. The Log-rank test showed that patient age (χ²=5.01) and gender (χ²=7.19), as well as tumor grade (χ²=49.11), shape (χ²=34.73), location (χ²=18.60), pathological type (χ²=8.07), presence of subretinal fluid (χ²=15.71) and ciliary body involvement (χ²=19.72) were factors influencing patient prognoses (all P<0.05). In the multivariate Cox analysis, the T2, T3, T4 tumors (compared with the T1 tumor, HR=4.41, 6.82, 10.49), subretinal fluid (HR=1.98), ciliary body involvement (HR=1.79), being male (HR=1.53) and advanced age (greater than 53 years old) (HR=1.83) were independent risk factors for poor prognoses (all P<0.05). Conclusions: UM occurs at a significantly earlier age and non-pigmented tumors represent smaller proportion in Chinese patients. Higher T-stage, presence of subretinal fluid, ciliary body involvement, advanced age, and being male are independent risk factors for poor outcomes.
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Affiliation(s)
- J T Luo
- Beijing Tongren Eye Center, Beijing Tongren Hospital, Capital Medical University, Beijing Key Laboratory of Intraocular Tumor Diagnosis and Treatment, Beijing Key Laboratory of Ophthalmology & Visual Sciences, Medical Artificial Intelligence Research and Verification Laboratory of the Ministry of Industry and Information Technology, Beijing 100730, China
| | - Y H Yang
- Beijing Tongren Eye Center, Beijing Tongren Hospital, Capital Medical University, Beijing Key Laboratory of Intraocular Tumor Diagnosis and Treatment, Beijing Key Laboratory of Ophthalmology & Visual Sciences, Medical Artificial Intelligence Research and Verification Laboratory of the Ministry of Industry and Information Technology, Beijing 100730, China
| | - Y M Liu
- Beijing Tongren Eye Center, Beijing Tongren Hospital, Capital Medical University, Beijing Key Laboratory of Intraocular Tumor Diagnosis and Treatment, Beijing Key Laboratory of Ophthalmology & Visual Sciences, Medical Artificial Intelligence Research and Verification Laboratory of the Ministry of Industry and Information Technology, Beijing 100730, China
| | - Y Li
- Beijing Tongren Eye Center, Beijing Tongren Hospital, Capital Medical University, Beijing Key Laboratory of Intraocular Tumor Diagnosis and Treatment, Beijing Key Laboratory of Ophthalmology & Visual Sciences, Medical Artificial Intelligence Research and Verification Laboratory of the Ministry of Industry and Information Technology, Beijing 100730, China
| | - W B Wei
- Beijing Tongren Eye Center, Beijing Tongren Hospital, Capital Medical University, Beijing Key Laboratory of Intraocular Tumor Diagnosis and Treatment, Beijing Key Laboratory of Ophthalmology & Visual Sciences, Medical Artificial Intelligence Research and Verification Laboratory of the Ministry of Industry and Information Technology, Beijing 100730, China
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Han HJ, Park MY, Park KW, Park KH, Choi SH, Kim HJ, Yang DW, Ebenezer EGAM, Yang YH, Kewalram GM, Han SH. A Multinational, Multicenter, Randomized, Double-Blind, Active Comparator, Phase III Clinical Trial to Evaluate the Efficacy and Safety of Donepezil Transdermal Patch in Patients With Alzheimer's Disease. J Clin Neurol 2022; 18:428-436. [PMID: 35796268 PMCID: PMC9262446 DOI: 10.3988/jcn.2022.18.4.428] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2022] [Revised: 05/18/2022] [Accepted: 05/18/2022] [Indexed: 11/17/2022] Open
Abstract
Background and Purpose Oral administration of cholinesterase inhibitors is often associated with adverse gastrointestinal effects, and so developing an alternative administration route, such as transdermal, is urgently needed. The primary objective of this study was to determine the efficacy and safety of the IPI-301 donepezil transdermal patch compared with donepezil tablets (control) in mild-to-moderate probable Alzheimer’s disease (AD). Methods This prospective, randomized, double-blind, double-dummy, two-arm parallel, multicenter trial included 399 patients, among whom 303 completed the trial. For randomization, the patients were stratified based on previous treatment and donepezil dose; patients in each stratum were randomized to the test and control groups at a 1:1 ratio. Results The difference between the control group and the IPI-301 group, quantified as the Hodges–Lehmann estimate of location shift, was 0.00 (95% confidence interval: -1.00 to 1.33), with an upper limit of less than 2.02. The change in Alzheimer’s Disease Cooperative Study–Activities of Daily Living (ADCS-ADL) score differed significantly between the IPI-301 and control groups (p=0.02). However, the changes in the full-itemized ADCS-ADL scores at week 24 did not differ significantly between the two groups. There were no differences between the two groups regarding the scores for the Clinician Interview-Based Impression of Change (p=0.9097), Mini-Mental State Examination (p=0.7018), Neuropsychiatric Inventory (p=0.7656), or Clinical Dementia Rating (p=0.9990). Adverse events, vital signs, and laboratory test results were comparable between the two groups. Conclusions IPI-301 was safe and efficacious in improving cognitive function in patients with mild-to-moderate AD.
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Affiliation(s)
- Hyun Jeong Han
- Department of Neurology, Myongji Hospital, Hanyang University College of Medicine, Goyang, Korea
| | - Mee Young Park
- Department of Neurology, Yeungnam University Medical Center, Daegu, Korea
| | - Kyung Won Park
- Department of Neurology, Dong-A Medical Center, Dong-A University College of Medicine, Busan, Korea
| | - Kee Hyung Park
- Department of Neurology, College of Medicine, Gachon University Gil Medical Center, Incheon, Korea
| | - Seong Hye Choi
- Department of Neurology, Inha University School of Medicine, Incheon, Korea
| | - Hee-Jin Kim
- Department of Neurology, Hanyang University College of Medicine, Seoul, Korea
| | - Dong Won Yang
- Department of Neurology, The Catholic University of Korea, Seoul St. Mary's Hospital, Seoul, Korea
| | | | - Yuan-Han Yang
- Kaohsiung Municipal Ta-Tung Hospital, Kaohsiung, Taiwan
| | | | - Seol-Heui Han
- Department of Neurology, Konkuk University School of Medicine and Konkuk University Medical Center, Seoul, Korea.
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Fan LG, Zhang KC, Cui P, Zong L, Wei W, Wang J, Cheng QS, Zhang JJ, Liu Y, Yang YH, Zhang MJ, Hu WQ. [History and present situation of seromuscular flap anastomosis in proximal gastrectomy]. Zhonghua Wei Chang Wai Ke Za Zhi 2022; 25:466-470. [PMID: 35599403 DOI: 10.3760/cma.j.cn441530-20211019-00419] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
With the increasing detection rate of early upper gastric cancer and adenocarcinoma of esophagogastric junction, the safety of proximal gastrectomy with clear indications has been verified, and function-preserving proximal gastrectomy has been widely used. However, proximal gastrectomy destructs the normal anatomical structure of esophagogastric junction, resulting in severe postoperative gastroesophageal reflux symptoms and seriously affecting the quality of life. Among various anti-reflux surgery methods, reconstruction of "cardiac valve" has always been the focus of relevant scholars because its similarity with the mechanism of normal anti-reflux. After years of development, evolution and optimization, the designed seromuscular flap anastomosis includes tunnel muscle flap anastomosis, Hatafuku valvuloplasty, single muscle flap anastomosis and double muscle flap anastomosis. The double muscle flap anastomosis has become a research hotspot because it shows good anti-reflux effect in clinical application. This paper reviews the history, research status and hot issues of seromuscular flap anastomosis of esophageal remnant stomach at home and abroad.
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Affiliation(s)
- L G Fan
- Graduate Department of Changzhi Medical College, Changzhi 046000, China Department of gastrointestinal Surgery, Changzhi People's Hospital Affiliated to Changzhi Medical College, Changzhi 046000, China
| | - K C Zhang
- Graduate Department of Changzhi Medical College, Changzhi 046000, China Department of gastrointestinal Surgery, Changzhi People's Hospital Affiliated to Changzhi Medical College, Changzhi 046000, China
| | - P Cui
- Department of gastrointestinal Surgery, Changzhi People's Hospital Affiliated to Changzhi Medical College, Changzhi 046000, China
| | - L Zong
- Department of gastrointestinal Surgery, Changzhi People's Hospital Affiliated to Changzhi Medical College, Changzhi 046000, China
| | - W Wei
- Department of gastrointestinal Surgery, Changzhi People's Hospital Affiliated to Changzhi Medical College, Changzhi 046000, China
| | - J Wang
- Department of gastrointestinal Surgery, Changzhi People's Hospital Affiliated to Changzhi Medical College, Changzhi 046000, China
| | - Q S Cheng
- Department of gastrointestinal Surgery, Changzhi People's Hospital Affiliated to Changzhi Medical College, Changzhi 046000, China
| | - J J Zhang
- Heji Hospital Affiliated to Changzhi Medical College, Changzhi 046000, China
| | - Y Liu
- Department of gastrointestinal Surgery, Changzhi People's Hospital Affiliated to Changzhi Medical College, Changzhi 046000, China
| | - Y H Yang
- Department of gastrointestinal Surgery, Changzhi People's Hospital Affiliated to Changzhi Medical College, Changzhi 046000, China
| | - M J Zhang
- Department of gastrointestinal Surgery, Changzhi People's Hospital Affiliated to Changzhi Medical College, Changzhi 046000, China
| | - W Q Hu
- Department of gastrointestinal Surgery, Changzhi People's Hospital Affiliated to Changzhi Medical College, Changzhi 046000, China
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Wang BY, Gu BC, Wang GJ, Yang YH, Wu CC. Detection of Amyloid-β(1–42) Aggregation With a Nanostructured Electrochemical Sandwich Immunoassay Biosensor. Front Bioeng Biotechnol 2022; 10:853947. [PMID: 35372290 PMCID: PMC8965719 DOI: 10.3389/fbioe.2022.853947] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2022] [Accepted: 02/25/2022] [Indexed: 11/30/2022] Open
Abstract
Amyloid-β(1–42) [Aβ(1–42)] oligomer accumulations are associated with physiologic alterations in the brains of individuals with Alzheimer’s disease. In this study, we demonstrate that a nanostructured gold electrode with deposited gold nanoparticles, induced via electrochemical impedance spectroscopy (EIS), may be used as an Aβ(1–42) conformation biosensor for the detection of Alzheimer’s disease. Monoclonal antibodies (12F4) were immobilized on self-assembled monolayers of the electrochemical sandwich immunoassay biosensor to capture Aβ(1–42) monomers and oligomers. Western blot and fluorescence microscopy analyses were performed to confirm the presence of Aβ(1–42) monomers and oligomers. EIS analysis with an equivalent circuit model was used to determine the concentrations of different Aβ(1–42) conformations in this study. We identified conformations of Aβ(1–42) monomers and Aβ(1–42) oligomers using probe antibodies (12F4) by employing EIS. RAβ(1−42) indicates the sum resistance of impedance measured during Aβ(1–42) immobilization. ΔR12F4 refers to the concentration of probe antibody (12F4) binding with Aβ(1–42). The concentration of Aβ(1–42) oligomer was defined as the percentage of Aβ(1–42) aggregation R12F4/RAβ(1−42). The experimental results show that the biosensor has high selectivity to differentiate Aβ(1–40) and Aβ(1–42) monomers and Aβ(1–42) oligomers and that it can detect Aβ(1–42) oligomer accurately. The linear detection range for Aβ(1–42) oligomers was between 10 pg/ml and 100 ng/ml. The limit of detection was estimated to be 113 fg/ml.
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Affiliation(s)
- Bing-Yu Wang
- Department of Mechanical Engineering, National Chung Hsing University, Taichung, Taiwan
| | - Bien-Chen Gu
- Department of Mechanical Engineering, National Chung Hsing University, Taichung, Taiwan
| | - Gou-Jen Wang
- Department of Mechanical Engineering, National Chung Hsing University, Taichung, Taiwan
- Graduate Institute of Biomedical Engineering, National Chung Hsing University, Taichung, Taiwan
| | - Yuan-Han Yang
- Department of and Master's Program in Neurology, Faculty of Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan
- Department of Neurology, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung, Taiwan
- Department of Neurology, Kaohsiung Municipal Ta-Tung Hospital, Kaohsiung Medical University, Kaohsiung, Taiwan
| | - Chia-Che Wu
- Department of Mechanical Engineering, National Chung Hsing University, Taichung, Taiwan
- Innovation and Development Center of Sustainable Agriculture (IDCSA), National Chung Hsing University, Taichung, Taiwan
- Smart Sustainable New Agriculture Research Center (SMARTer), Taichung, Taiwan
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Abstract
BACKGROUND Patients with atrial fibrillation (AF) carry higher risks of cognitive consequences and psychological burden. An optimal anticoagulant therapy would be expected to better preserve neuropsychological function in addition to effective prevention of stroke and systemic thromboembolism. OBJECTIVE The aim of this review is to explore the effects of the non-vitamin K antagonist oral anticoagulant (NOAC) dabigatran, a direct thrombin inhibitor, on cognitive and psychological function as well as dementia pathogenesis. METHODS We performed a comprehensive search of PubMed/Medline for all types of relevant articles using a combination of dabigatran and associated keywords updated to August 31, 2021. All titles and abstracts were screened for eligibility, and potentially relevant papers were collected for inclusion. RESULTS The pooled results demonstrated neutral to positive impacts of dabigatran on cognitive and psychological outcomes, including laboratory results in animal models of Alzheimer's disease, and reduced incidences of anxiety/depression and dementia for AF patients. Dabigatran also exhibited better therapeutic profiles than warfarin in preclinical and observational research. CONCLUSION Given limited strength of evidence from heterogeneous studies, our review proposed modest beneficial effects of dabigatran on neuropsychological function. Further clinical trials are warranted to affirm the pleiotropic protective effects of NOACs on dementia treatment.
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Affiliation(s)
- Bo-Lin Ho
- Department of Neurology, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung, Taiwan.,Department of and Master's Program in Neurology, Faculty of Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan
| | - Sun-Wung Hsieh
- Department of Neurology, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung, Taiwan.,Department of and Master's Program in Neurology, Faculty of Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan.,Department of Neurology, Kaohsiung Municipal Siao-Gang Hospital, Kaohsiung Medical University, Kaohsiung, Taiwan
| | - Ping-Song Chou
- Department of Neurology, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung, Taiwan.,Department of and Master's Program in Neurology, Faculty of Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan
| | - Yuan-Han Yang
- Department of Neurology, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung, Taiwan.,Department of and Master's Program in Neurology, Faculty of Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan.,Department of Neurology, Kaohsiung Municipal Ta-Tung Hospital, Kaohsiung, Taiwan.,Neuroscience Research Center, Kaohsiung Medical University, Kaohsiung, Taiwan
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Hao MY, Sun LL, Sheng MW, Lyu YS, Lin YB, Yang YH, Zhi JH, Yu WL, Du HY. [Berberine alleviates programmed necrosis of metabolic-associated fatty liver disease via activating Nrf2 pathway in mice]. Zhonghua Gan Zang Bing Za Zhi 2022; 30:224-229. [PMID: 35359076 DOI: 10.3760/cma.j.cn501113-20200910-00509] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
Abstract
Objective: To investigate the effect of berberine on programmed necrosis of hepatocytes induced by metabolic-associated fatty liver disease (MAFLD) in mice and its related molecular mechanism. Methods: Twenty male C57BL/6N mice were randomly divided into four groups (n=5 in each group): control group (S), fatty liver group (H), berberine group(B), nuclear factor erythroid 2-related factor 2 inhibitor group (Nrf2), and all-trans-retinoic acid (ATRA) group (A). Serum alanine aminotransferase (ALT), aspartate aminotransferase (AST), lactate dehydrogenase (LDH), triglycerides (TG), total cholesterol (TC), tumor necrosis factor-α (TNF-α), interleukin-1β (IL-1β) concentrations were detected at the end of week 12 to calculate fatty liver index (liver mass/body mass ratio). Liver tissue was stained with HE, Masson and Oil Red O, and SAF score was used to evaluate the degree of liver injury. The expression levels of hepatic programmed necrosis-related proteins, namely receptor-interacting protein kinase 3 (RIPK3), phosphorylated mixed series protease-like domain (p-MLKL) and Nrf2 were detected by Western blot method. One-way ANOVA was used for intragroup comparisons and LSD-t tests were used for intergroup comparisons. Results: Compared with S group, H group serum ALT, AST, LDH, TG, TC, TNF-α, IL-1β levels and fatty liver index were significantly increased. The liver tissue was filled with vacuolar-like changes and inflammatory cell infiltration. Numerous red lipid droplets were observed with oil red O staining. Collagen fiber hyperplasia was evident with Masson staining. SAF scores (6.60 ± 0.55 and 0.80 ± 0.45) were significantly increased. The expressions of RIPK3 and p-MLKL were up-regulated. Nrf2 level was relatively increased, and the differences were statistically significant (P < 0.05). Compared with H group, berberine intervention group liver biochemical indexes, lipid levels, pro-inflammatory mediator expression, fatty liver index, and SAF score were significantly reduced, and the expression of RIPK3 and p-MLKL were down-regulated, while Nrf2 levels were further increased, and the differences were statistically significant (P<0.05). Compared with B group, treatment with Nrf2 inhibitor had antagonized the protective effect of berberine on fatty liver. Serum ALT, AST, LDH, TG, TC and TNF-α, IL-1β levels, fatty liver index, and SAF scores were significantly increased and the expressions of RIPK3 and p-MLKL were relatively increased, and the differences were statistically significant (P < 0.05). Conclusion: Berberine can significantly improve the metabolic-associated fatty liver disease injury in mice, and its mechanism is related to activation of Nrf2 and inhibition of programmed necrosis of hepatocytes.
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Affiliation(s)
- M Y Hao
- Tianjin First Central Hospital Clinic Institute, Tianjin Medical University, Tianjin 300192, China Hao Mingyue is working on the Department of Anesthesiology, Tianjin Eye Hospital, Tianjin 300020, China
| | - L L Sun
- Department of Anesthesiology, Central Hospital Affiliated to Shandong First Medical University, Jinan 250013, China
| | - M W Sheng
- Department of Anesthesiology, Tianjin First Center Hospital, School of Medical, Nankai University, Tianjin 300192, China
| | - Y S Lyu
- Tianjin First Central Hospital Clinic Institute, Tianjin Medical University, Tianjin 300192, China
| | - Y B Lin
- Department of General Surgery, General Hospital, Tianjin Medical University, Tianjin 300052, China
| | - Y H Yang
- Tianjin First Central Hospital Clinic Institute, Tianjin Medical University, Tianjin 300192, China
| | - J H Zhi
- Tianjin First Central Hospital Clinic Institute, Tianjin Medical University, Tianjin 300192, China
| | - W L Yu
- Department of Anesthesiology, Tianjin First Center Hospital, School of Medical, Nankai University, Tianjin 300192, China
| | - H Y Du
- Department of General Surgery, General Hospital, Tianjin Medical University, Tianjin 300052, China
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Abstract
OBJECTIVE To determine the association between caregiver characteristics and behavioral and psychological symptoms of dementia (BPSD) in patients with dementia (PWD) in a Taiwanese community-dwelling population. METHODS This cross-sectional study was conducted using the data of 190 patients with Alzheimer's disease/dementia and 190 informal matched caregivers in Taiwan. BPSD were examined using the Neuropsychiatric Inventory-Questionnaire (NPI-Q). Correlation and regression analyses were used to explore associations between caregiver characteristics and the presence, severity, and distress of NPI-Q items. RESULTS Only spouse primary caregiver was positively associated with presence of delusions in PWD. Caregiver education was positively correlated to severity of hallucinations, agitation/aggression, and apathy/indifference in PWD, while child primary caregiver was positively related to severity of disinhibition in PWD but negatively related to severity of anxiety in PWD. Spouse primary caregiver was positively related to severity of anxiety and appetite/eating in PWD while sole primary caregiver was positively related to severity of anxiety and nighttime behaviors in PWD. Caregiver education was positively correlated to distress of agitation/aggression in caregivers while child primary caregiver was positively related to distress of disinhibition in caregivers. Spouse primary caregiver was positively related to distress of anxiety and appetite/eating in caregivers while spouse caregiver was positively related to distress of nighttime behaviors in caregivers. CONCLUSIONS Caregiver education, child and spouse primary caregiver were relevant to severity of PWD and distress of caregivers of BPSD. It is suggested that healthcare professionals provide caregivers with proper individualized interventions based on these results to enhance caring quality.Key pointsCaregiver education was positively correlated to severity of hallucinations, agitation/aggression, and apathy/indifference, and distress of agitation/aggression.Child primary caregiver was positively related to severity and distress of disinhibition but negatively related to severity of anxiety.Spouse primary caregiver was positively related to severity and distress of anxiety and appetite/eating, and distress of nighttime behaviors.
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Affiliation(s)
- Pei-Chao Lin
- School of Nursing, College of Nursing, Kaohsiung Medical University, Kaohsiung,Taiwan.,Department of Medical Research, Kaohsiung Medical University Hospital Kaohsiung Medical University, Kaohsiung,Taiwan.,Center for Long-Term Care Research, Kaohsiung Medical University, Kaohsiung, Taiwan
| | - Hui-Tzu Lin
- Department of Teaching and Research Center, Kaohsiung Municipal Ta-Tung Hospital, Kaohsiung Medical University, Kaohsiung,Taiwan
| | - Yu-Hsiang Yang
- Department of Counselling and Clinical Psychology, National Dong Hwa University, Huaien, Taiwan
| | - Yuan-Han Yang
- Department of Neurology, Kaohsiung Municipal Ta-Tung Hospital Kaohsiung Medical University, Kaohsiung,Taiwan.,Department of Neurology, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung,Taiwan.,Neuroscience Research Center, Kaohsiung Medical University, Kaohsiung, Taiwan.,Department of and Master's Program in Neurology Faculty of Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan
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Duan YC, Su HL, Wei R, Jiang KY, Wang AQ, Yang YH, Pan X, Zhang Y, Cao YS. [Short-term efficacy and perioperative safety of catheter-based intervention for pulmonary vein stenosis caused by fibrosing mediastinitis]. Zhonghua Xin Xue Guan Bing Za Zhi 2022; 50:55-61. [PMID: 35045615 DOI: 10.3760/cma.j.cn112148-20210507-00398] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
Abstract
Objective: To evaluate the short-term efficacy and perioperative safety of catheter-based intervention in patients with pulmonary vein stenosis caused by fibrosing mediastinitis (FM). Methods: It was a case series study. Consecutive patients with pulmonary vein stenosis caused by FM, who underwent percutaneous pulmonary vein angioplasty in Gansu Provincial Hospital from January 2018 to June 2020, were retrospective enrolled. The baseline characteristics, comorbidities, exercise capacity and hemodynamic data before and after treatment were compared, and the procedural related complications were evaluated. Results: A total of 30 patients ((64.3±7.1) years, 15 males) were included. Sixty-three pulmonary vein stenosis were treated by 32 percutaneous pulmonary vein angioplasty procedures. Forty-four stents were implanted in 41 pulmonary veins after balloon angioplasty, and the diameter of implanted stents was (8.3±1.2)mm. Balloon angioplasty was performed on 22 pulmonary vein stenosis, the mean balloon diameter was (4.2±2.1)mm. The pulmonary vein diameter increased from (2.6±1.3) to (6.6±2.6) mm (P<0.001) and the pressure gradient across the pulmonary vein stenotic segment reduced from 19 (12, 29) to 2 (0, 4) mmHg (1 mmHg=0.133 kPa) (P<0.001) immediately post procedure. The pulmonary vein flow grade was significantly improved compared with baseline (P<0.001). The most common operation related complications were lung injury (44.0% (11/25)) and hemoptysis (18.8% (6/32)), which did not need special treatment. During the 2.0 (1.3, 3.2) months follow-up, the WHO functional class was significantly improved (P<0.05), the 6-minute walking distance increased from (254.8±114.5) m to (342.8±72.4)m (P<0.05), the mean pulmonary arterial pressure decreased from (40.9±8.3) mmHg to (35.4±7.7) mmHg (P<0.01), 17 out of 19 patients with refractory pleural effusion experienced total remission during the follow-up period (P<0.001). CT pulmonary venography was repeated in 17 patients. The incidence of in-stent restenosis of pulmonary vein was 24.0% (6/25). Conclusions: Percutaneous pulmonary vein angioplasty is effective for the treatment of pulmonary vein stenosis caused by fibrosing mediastinitis. However, it's not so safe, procedural related complication should be paid attention to and the rate of in-stent restenosis is relative high during the short-term follow-up.
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Affiliation(s)
- Y C Duan
- Department of Cardiology, Gansu Provincial Hospital, Lanzhou 730000, China
| | - H L Su
- Department of Cardiology, Gansu Provincial Hospital, Lanzhou 730000, China
| | - R Wei
- Department of Cardiology, Gansu Provincial Hospital, Lanzhou 730000, China
| | - K Y Jiang
- Department of Cardiology, Gansu Provincial Hospital, Lanzhou 730000, China
| | - A Q Wang
- Department of Cardiology, Gansu Provincial Hospital, Lanzhou 730000, China
| | - Y H Yang
- Department of Respiratory and Critical Care Medicine, Beijing Chaoyang Hospital, Capital Medical University, Beijing 100020, China
| | - X Pan
- Department of Cardiology, Shanghai Chest Hospital, Shanghai Jiaotong University, Shanghai 200030, China
| | - Y Zhang
- Tianjin Medical University Eye Hospital, Translational Medicine Laboratory, Tianjin Key Laboratory of Retinal Functions and Diseases, Tianjin 300384, China
| | - Y S Cao
- Department of Cardiology, Gansu Provincial Hospital, Lanzhou 730000, China
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Yang YH, Huang X, Sun MY, Yang L, Zheng RM. [Analysis on depression state outcomes and influencing factors of persistent depression in pregnant and perinatal women in China]. Zhonghua Liu Xing Bing Xue Za Zhi 2022; 43:58-64. [PMID: 35130653 DOI: 10.3760/cma.j.cn112338-20210628-00502] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
Abstract
Objective: To investigate the depression status of pregnant and perinatal women in early, medium-term, late pregnancy and postpartum period in China and the outcomes of depression in each period, analyze the influential factors of depression status. Methods: By using the pregnant and perinatal women mental health cohort established by National Center for Women and Children's Health of Chinese Center for Disease Control and Prevention, Haidian District Maternal and Child Health Hospital of Beijing, Women Health Center of Shanxi, Jilin Women and Children Health Hospital, Zhuhai Center for Maternal and Child Health Care and Shenzhen Maternity and Child Healthcare Hospital of Guangdong province, a follow up study was conducted at 7 time points during pregnancy and perinatal period in pregnant and perinatal women in Beijing, Shanxi, Jilin and Guangdong from August 1, 2015 to October 31, 2016. The self-filled questionnaire and Edinburgh Postpartum Depression Scale (EPDS) were used to obtain the general demographic information and depression status of the pregnant and perinatal women, and the depression status and natural outcomes of the pregnant and perinatal women were analyzed. Results: A total of 1 284 pregnant and perinatal women were recruited. In this study, a total of 1 210 subjects who completed follow-up at least 6 times and postpartum 42 day follow up were included in the final analysis. The EPDS depression score at the gestation week 13 was used to indicate the depression status in early pregnancy, the average EPDS score of gestation week 17 and 24 were used to indicate the depression status in medium-term pregnancy, and the average EPDS score of gestation week 31 and 37 were used to indicate depression in late pregnancy. The average EPDS score of postpartum day 3 and 42 were used to indicate postpartum depression status. A total of 321 (26.5%), 218 (18.0%), 189 (15.6%) and 219 (18.1%) pregnant and perinatal women were found to have depression, respectively, in early, medium-term and late pregnancy and in postpartum period. The depression status in early, medium-term and late pregnancy and postpartum period were positively correlated (P<0.001), the correlation between early and middle pregnancy was strong (r=0.678), the correlation between medium-term and late pregnancy was strong (r=0.771), and the correlation between postpartum period and late pregnancy was strong (r=0.706). Among the pregnant women with depression in early pregnancy, 26.2% were depressed during the whole study period, 42.7% were depressed during postpartum period, and the results of multifactorial analysis showed that the education level of college or above of the pregnant and perinatal women (OR=0.437, 95%CI: 0.212-0.900, P=0.025), exercise during pregnancy (OR=0.586, 95%CI: 0.348-0.987, P = 0.044), high marital satisfaction (OR = 0.370, 95%CI: 0.221-0.620, P<0.001), normal body mass index (BMI) (OR=0.516, 95%CI: 0.270-0.985, P=0.045) reduced the risk for depression. Unsatisfactory living environment (OR=1.807, 95%CI: 1.074-3.040, P=0.026) increased the risk for depression. Conclusions: In pregnant and perinatal women in China, the detection rate of depression in early pregnancy was highest compared with those in medium-term and late pregnancy. The detection rate of depression increased again in postpartum period. The depression status detected in the early pregnancy remained in the medium-term and late pregnancy and postpartum period. Exercise, BMI, educational level, living environment satisfaction and marital satisfaction can affect the incidence of depression in pregnant and perinatal women.
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Affiliation(s)
- Y H Yang
- Department of Women's Health,National Center for Women and Children's Health, Chinese Center for Disease Control and Prevention, Beijing 100081, China
| | - X Huang
- Department of Women's Health,National Center for Women and Children's Health, Chinese Center for Disease Control and Prevention, Beijing 100081, China
| | - M Y Sun
- Department of Women's Health,National Center for Women and Children's Health, Chinese Center for Disease Control and Prevention, Beijing 100081, China
| | - L Yang
- Department of Women's Health,National Center for Women and Children's Health, Chinese Center for Disease Control and Prevention, Beijing 100081, China
| | - R M Zheng
- Department of Women's Health,National Center for Women and Children's Health, Chinese Center for Disease Control and Prevention, Beijing 100081, China
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Fong YO, Huang P, Hsu CY, Yang YH. Effects of Perampanel on Seizure Control, Cognition, Behavior, and Psychological Status in Patients With Epilepsy: A Systematic Review. J Clin Neurol 2022; 18:653-662. [DOI: 10.3988/jcn.2022.18.6.653] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2021] [Revised: 04/13/2022] [Accepted: 04/14/2022] [Indexed: 11/09/2022] Open
Affiliation(s)
- Yi-On Fong
- Department of Neurology, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung, Taiwan
| | - Poyin Huang
- Department of Neurology, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung, Taiwan
- Department of Neurology, College of Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan
- Neuroscience Research Center, Kaohsiung Medical University, Kaohsiung, Taiwan
- Department of Neurology, Kaohsiung Municipal Siaogang Hospital, Kaohsiung Medical University, Kaohsiung, Taiwan
| | - Chung Yao Hsu
- Department of Neurology, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung, Taiwan
- Department of Neurology, College of Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan
- Neuroscience Research Center, Kaohsiung Medical University, Kaohsiung, Taiwan
| | - Yuan-Han Yang
- Department of Neurology, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung, Taiwan
- Department of Neurology, College of Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan
- Neuroscience Research Center, Kaohsiung Medical University, Kaohsiung, Taiwan
- Department of Neurology, Kaohsiung Municipal Ta-Tung Hospital, Kaohsiung, Taiwan
- School of Post-Baccalaureate Medicine, Colleague of Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan
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Manawasinghe IS, Calabon MS, Jones EBG, Zhang YX, Liao CF, Xiong YR, Chaiwan N, Kularathnage ND, Liu NG, Tang SM, Sysouphanthong P, Du TY, Luo M, Pasouvang P, Pem D, Phonemany M, Ishaq M, Chen JW, Karunarathna SC, Mai ZL, Rathnayaka AR, Samarakoon MC, Tennakoon DS, Wijesinghe SN, Yang YH, Zhao HJ, Fiaz M, Doilom M, Dutta AK, Khalid AN, Liu JW, Thongklang N, Senanayake IC, Tibpromma S, You LQ, Camporesi E, Gafforov YS, Hyde KD KD. Mycosphere notes 345–386. MYCOSPHERE 2022. [DOI: 10.5943/mycosphere/13/1/3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022] Open
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48
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Yao MH, Zheng YH, Yang YH, Huang JP, Wu D. [Clinicopathological analysis of 6 cases of lung adenocarcinoma with concomitant EGFR mutation and ALK fusion]. Zhonghua Bing Li Xue Za Zhi 2021; 50:1369-1371. [PMID: 34865427 DOI: 10.3760/cma.j.cn112151-20210501-00338] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/13/2023]
Affiliation(s)
- M H Yao
- Deparment of Pathology, Fujian Medical University Union Hospital, Fuzhou 350001, China
| | - Y H Zheng
- Deparment of Pathology, Fujian Medical University Union Hospital, Fuzhou 350001, China
| | - Y H Yang
- Deparment of Pathology, Fujian Medical University Union Hospital, Fuzhou 350001, China
| | - J P Huang
- Deparment of Pathology, Fujian Medical University Union Hospital, Fuzhou 350001, China
| | - D Wu
- Deparment of Pathology, Fujian Medical University Union Hospital, Fuzhou 350001, China
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Cheng SM, Liu JL, Chen T, Bi YZ, Liu KY, Wang QY, Tang HX, Yang YH, Zhang XB, Hu RR, Liu SQ, Zhang K, Kong LB, Guo DL, Shu ZF, Hong F. [Establishment of human colon cancer transplantation tumor model in normal immune mice]. Zhonghua Zhong Liu Za Zhi 2021; 43:939-943. [PMID: 34530576 DOI: 10.3760/cma.j.cn112152-20190915-00596] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Objective: Establishment of a new model of human primary colon cancer transplantation tumor in normal immune mice and to provide a reliable experimental animal model for studying the pathogenesis of colon cancer under normal immunity. Methods: Human colon cancer cells come from colon cancer patients who underwent surgery in the Affiliated Hospital of Jining Medical College in 2017. The mice in the cell control group were inoculated with phosphate buffered solution (PBS) containing colon cancer cells, the microcarrier control group was inoculated with PBS containing microcarrier 6, and the cell-microcarrier complex group was inoculated with the PBS containing colon cancer cell-microcarrier complex. The cells of each group were inoculated under the skin of the right axilla of mice by subcutaneous injection, and the time, size, tumor formation rate and pathological changes under microscope were recorded. The transplanted tumor tissue was immunohistochemically stained with the EnVisiion two-step method, and the tumor formation rate of the transplanted tumor was judged according to the proportion of positive cells in the visual field. The polymerase chain reaction (PCR) method was used to detect the expression of human-specific Alu sequence in mice tumor tissue. Results: After inoculation with tumor cells, the mice in the cell control group and the microcarrier control group did not die and did not form tumors; the mice in the cell-microcarrier complex group had palpable subcutaneous tumors in the right axillary subcutaneously on the 5th to 7th days after inoculation, and tumor formation rate is 67% (10/15), and the tumor volume can reach about 500 mm(3) 2 to 3 weeks after vaccination. The immunohistochemistry results showed that CK20, CDX-2 and carcinoembryonic antigen were all positively expressed. The PCR results showed that the expression of human-specific Alu sequence can be detected in the transplanted tumor tissue of tumor-bearing mice. Conclusion: Human primary colon cancer cells used microcarrier 6 as a carrier to form tumors in normal immunized mice, and successfully established a new model of human colon cancer transplantation tumor in normal immune mice.
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Affiliation(s)
- S M Cheng
- Jining Medical University Clinical Medical College, Jining 272000, China
| | - J L Liu
- The First Affiliated Hospital of Hebei North University, Cancer Institute, Zhangjiakou 075000, China
| | - T Chen
- Gastrointestinal Surgery, the Third Hospital of Jilin University, Changchun 130000, China
| | - Y Z Bi
- Department of Gastroenterology, Beijing You'an Hospital, Capital Medical University, Beijing 100069, China
| | - K Y Liu
- Jining Medical University Clinical Medical College, Jining 272000, China
| | - Q Y Wang
- Department of Pathology, Affiliated Hospital of Jining Medical College, Jining 272000, China
| | - H X Tang
- Jining Medical University Clinical Medical College, Jining 272000, China
| | - Y H Yang
- Central Laboratory, Affiliated Hospital of Jining Medical College, Jining 272000, China
| | - X B Zhang
- Central Laboratory, Affiliated Hospital of Jining Medical College, Jining 272000, China
| | - R R Hu
- Department of Gastroenterology, Affiliated Hospital of Jining Medical College, Jining 272000, China
| | - S Q Liu
- Department of Gastroenterology, Affiliated Hospital of Jining Medical College, Jining 272000, China
| | - K Zhang
- Department of Gastrointestinal Surgery, the Second Hospital of Jilin University, Changchun 130000, China
| | - L B Kong
- Jining Medical University Clinical Medical College, Jining 272000, China
| | - D L Guo
- Jining Medical University Clinical Medical College, Jining 272000, China
| | - Z F Shu
- Shanghai Meifeng Biotechnology Co., Ltd, Shanghai 201203, China
| | - F Hong
- Central Laboratory, Affiliated Hospital of Jining Medical College, Jining 272000, China
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Hsieh SW, Chen JC, Chen NC, Jhang KM, Wang W, Yang YH. Real-world Evaluation of Tolerability, Safety and Efficacy of Rivastigmine Oral Solution in Patients with Mild to Moderate Alzheimer's Disease Dementia. Clin Psychopharmacol Neurosci 2021; 19:459-469. [PMID: 34294615 PMCID: PMC8316665 DOI: 10.9758/cpn.2021.19.3.459] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/30/2020] [Revised: 09/03/2020] [Accepted: 10/16/2020] [Indexed: 11/18/2022]
Abstract
Objective The purpose of this study is to investigate the safety, tolerability and efficacy of titrating dose of rivastigmine oral solution in patients with mild to moderate Alzheimer’s disease (AD) in Taiwan. Methods We recruited 108 mild to moderate AD patients with RivastⓇ (rivastigmine oral solution 2 mg/ml) treatment for 52 weeks. We recorded the demographic characteristics, initial cognition by mini-mental state examination (MMSE), initial global status by clinical dementia rating (CDR) with CDR-Sum of Boxes (CDR-SB), initial dose, and titrating dose at each visit. We investigated the adherence, proportion of possible side effects, optimal dose, and time to optimal dose. We demonstrated the proportion of cognitive decline and its possible risk factors. Results During the course, 9 patients discontinued the rivastigmine oral solution due to poor compliance or preference. Twelve out of 99 patients (12.1%) reported possible side effects. Among 87 patients, the mean age was 77.2 ± 9.0 years ago with female predominant (65.2%). The optimal dose was 3.6 ± 1.4 ml in average and 4 ml (n = 31, 35.6%) in mode. The duration to optimal dose was 12.5 ± 10.2 weeks and 24 weeks (n = 35, 40.2%) in mode. It presented 25% with cognitive decline in MMSE, 27% with global function decline in CDR and 63% with global function decline in CDR-SB. Conclusion We demonstrated the clinical experience of rivastigmine oral solution in mild to moderate AD patients. It suggested rivastigmine oral solution 4ml is the optimal dose with 24 weeks to the optimal dose for at least one third of patients.
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Affiliation(s)
- Sun-Wung Hsieh
- Department of Neurology, Kaohsiung Municipal Siao-Gang Hospital, Kaohsiung Medical University, Kaohsiung, Taiwan.,Department of Neurology, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung, Taiwan.,Neuroscience Research Center, Kaohsiung Medical University, Kaohsiung, Taiwan
| | - Jui-Cheng Chen
- Department of Neurology, China Medical University Hsinchu Hospital, Taichung, Taiwan.,Department of Neurology, China Medical University Hospital, Taichung, Taiwan.,School of Medicine, China Medical University, Taichung, Taiwan
| | - Nai-Ching Chen
- Department of Neurology, Kaohsiung Chang Gung Memorial Hospital, Kaohsiung, Taiwan.,Department of Neurology, Chang Gung University College of Medicine, Kaohsiung, Taiwan
| | - Kai-Ming Jhang
- Department of Neurology, Changhua Christian Hospital, Changhua, Taiwan
| | - Wenfu Wang
- Department of Neurology, Changhua Christian Hospital, Changhua, Taiwan.,Department of Holistic Wellness, Ming Dao University, Changhua, Taiwan
| | - Yuan-Han Yang
- Department of Neurology, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung, Taiwan.,Neuroscience Research Center, Kaohsiung Medical University, Kaohsiung, Taiwan.,Department of Neurology, Kaohsiung Municipal Ta-Tung Hospital, Kaohsiung Medical University Hospital, Kaohsiung, Taiwan.,Department of and Master's Program in Neurology, Faculty of Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan.,Chinese Mentality Protection Association, Kaohsiung, Taiwan
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