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Wang Y, Li C, Liu L, Yang Y, He X, Li G, Zheng X, Ren Y, Zhao H, Du Z, Jiang J, Kuang Y, Jia F, Yu H, Yang X. Association of Retinal Neurovascular Impairment with Disease Severity in Patients with Major Depressive Disorder: An Optical Coherence Tomography Angiography Study. Psychol Res Behav Manag 2024; 17:1573-1585. [PMID: 38617578 PMCID: PMC11015850 DOI: 10.2147/prbm.s443146] [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] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2023] [Accepted: 02/27/2024] [Indexed: 04/16/2024] Open
Abstract
Background Identifying the fundus objective biomarkers for the major depressive disorders (MDD) may help promote mental health. The aim of this study was to evaluate retinal neurovascular changes and further investigate their association with disease severity in MDD. Methods This cross-sectional study conducted in the hospital enrolled patients with MDD and healthy controls.The retinal neurovascular parameters for all subjects, including vessel density (VD), thickness of ganglion cell complex (GCC) and retinal nerve fiber layer (RNFL), and optic nerve head (ONH) eg are automatically calculated by the software in optical coherence tomography angiography (OCTA). The severity of MDD including depressive symptoms, anxiety, cognition, and insomnia was assessed by Hamilton Depression Rating Scale (HAMD), Hamilton Anxiety Scale (HAMA), Montreal Cognitive Assessment (MoCA), and Insomnia Severity Index (ISI) respectively. Results This study included 74 MDD patients (n=74 eyes) and 60 healthy controls (HCs) (n=60 eyes). MDD patients showed significantly decreased VD of superficial and deep capillary plexus, thickness of GCC and RNFL, and volume of ONH (all p<0.05) and increased vertical cup-to-disc ratio and global loss volume (GLV) (all p<0.05) compared to HCs. Positive associations were found between HAMD scores and cup area (r=0.30, p=0.035), cup volume (r=0.31, p=0.029), and disc area (r=0.33, p=0.020) as well as ISI scores and RNFL thickness (r=0.34, p=0.047). Conclusion We found the retinal neurovascular impairment and its association with disease severity in MDD patients. OCTA showed promise as a potential complementary assessment tool for MDD.
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Affiliation(s)
- Yan Wang
- Guangdong Eye Institute, Department of Ophthalmology, Guangdong Provincial People’s Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, People’s Republic of China
- School of Medicine, South China University of Technology, Guangzhou, People’s Republic of China
| | - Cong Li
- Guangdong Eye Institute, Department of Ophthalmology, Guangdong Provincial People’s Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, People’s Republic of China
- School of Medicine, South China University of Technology, Guangzhou, People’s Republic of China
| | - Lei Liu
- Guangdong Eye Institute, Department of Ophthalmology, Guangdong Provincial People’s Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, People’s Republic of China
| | - Yuan Yang
- Guangdong Mental Health Center, Guangdong Provincial People’s Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, People’s Republic of China
| | - Xue He
- Guangdong Eye Institute, Department of Ophthalmology, Guangdong Provincial People’s Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, People’s Republic of China
- School of Medicine, South China University of Technology, Guangzhou, People’s Republic of China
| | - Gang Li
- Guangdong Mental Health Center, Guangdong Provincial People’s Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, People’s Republic of China
| | - Xianzhen Zheng
- Guangdong Mental Health Center, Guangdong Provincial People’s Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, People’s Republic of China
| | - Yun Ren
- Guangdong Eye Institute, Department of Ophthalmology, Guangdong Provincial People’s Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, People’s Republic of China
- Shantou University Medical College, Shantou, People’s Republic of China
| | - Hanpeng Zhao
- Guangdong Eye Institute, Department of Ophthalmology, Guangdong Provincial People’s Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, People’s Republic of China
- The Second School of Clinical Medicine, Southern Medical University, Guangzhou, People’s Republic of China
| | - Zhenchao Du
- Guangdong Eye Institute, Department of Ophthalmology, Guangdong Provincial People’s Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, People’s Republic of China
- Shantou University Medical College, Shantou, People’s Republic of China
| | - Jianrong Jiang
- Guangdong Eye Institute, Department of Ophthalmology, Guangdong Provincial People’s Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, People’s Republic of China
- The Second School of Clinical Medicine, Southern Medical University, Guangzhou, People’s Republic of China
| | - Yu Kuang
- Guangdong Eye Institute, Department of Ophthalmology, Guangdong Provincial People’s Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, People’s Republic of China
| | - Fujun Jia
- Guangdong Mental Health Center, Guangdong Provincial People’s Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, People’s Republic of China
| | - Honghua Yu
- Guangdong Eye Institute, Department of Ophthalmology, Guangdong Provincial People’s Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, People’s Republic of China
| | - Xiaohong Yang
- Guangdong Eye Institute, Department of Ophthalmology, Guangdong Provincial People’s Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, People’s Republic of China
- School of Medicine, South China University of Technology, Guangzhou, People’s Republic of China
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Wang Y, Liu L, Li C, Yang Y, He X, Jiang M, Quan D, Ren Y, Zhao H, Jiang J, Du Z, Kuang Y, Yu H, Jia F, Yang X. Choroidal vessel density in major depressive disorder using swept-source optical coherence tomography angiography. J Affect Disord 2024; 344:79-85. [PMID: 37820961 DOI: 10.1016/j.jad.2023.10.022] [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: 07/07/2023] [Revised: 09/08/2023] [Accepted: 10/08/2023] [Indexed: 10/13/2023]
Abstract
BACKGROUND Previous studies have revealed the retinal structural impairment in major depressive disorder (MDD). The choroid is more affected by systemic changes compared to the retina and provides nutrients to the retina. It is uncertain whether the choroidal structure was damaged in MDD. Therefore, this study aimed to investigate choroidal vessel density (VD) in MDD patients using swept-source optical coherence tomography angiography (SS-OCTA). METHODS This study investigated the choroidal and retinal VD of subjects with SS-OCTA. MDD was identified based on the Diagnostic and International Classification of Diseases, 10th edition (ICD-10). The VD was automatically calculated as the ratio of the pixel areas of the vessels divided by the total area of the regions by the device. RESULTS Compared with healthy controls (HCs) (n = 45 eyes), the MDD group (n = 66 eyes) demonstrated significantly lower supranasal and temporal choroidal vessel volume (CVV), temporal choroidal vessel volume index (CVI), and supranasal and temporal choroidal stroma volume (CSV) (all p < 0.05). After adjustment for age and sex, we found that temporal CVV (β = -9.31, p = 0.040) and supranasal (β = -15.28, p = 0.034) and temporal CSV (β = -11.82, p = 0.036) were significantly associated with MDD. Both choroidal thickness and retinal VD indicators did not differ significantly between MDD patients and HCs (both p > 0.05). LIMITATIONS Conclusions about progressive changes in choroidal vascular structures during the course of MDD are limited by the our cross-sectional study. CONCLUSIONS We found the choroidal VD in MDD was lower compared with HCs, which suggests that decreased choroidal VD is associated with the MDD.
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Affiliation(s)
- Yan Wang
- School of Medicine, South China University of Technology, Guangzhou, China; Guangdong Eye Institute, Department of Ophthalmology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
| | - Lei Liu
- Guangdong Eye Institute, Department of Ophthalmology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
| | - Cong Li
- School of Medicine, South China University of Technology, Guangzhou, China; Guangdong Eye Institute, Department of Ophthalmology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
| | - Yuan Yang
- Guangdong Mental Health Center, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
| | - Xue He
- School of Medicine, South China University of Technology, Guangzhou, China; Guangdong Eye Institute, Department of Ophthalmology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
| | - Meijun Jiang
- Guangdong Mental Health Center, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
| | - Dongming Quan
- Guangdong Mental Health Center, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
| | - Yun Ren
- Guangdong Eye Institute, Department of Ophthalmology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China; Shantou University Medical College, Shantou, China
| | - Hanpeng Zhao
- Guangdong Eye Institute, Department of Ophthalmology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China; The Second School of Clinical Medicine, Southern Medical University, Guangzhou, China
| | - Jianrong Jiang
- Guangdong Eye Institute, Department of Ophthalmology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China; The Second School of Clinical Medicine, Southern Medical University, Guangzhou, China
| | - Zhenchao Du
- Guangdong Eye Institute, Department of Ophthalmology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China; Shantou University Medical College, Shantou, China
| | - Yu Kuang
- Guangdong Eye Institute, Department of Ophthalmology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
| | - Honghua Yu
- Guangdong Eye Institute, Department of Ophthalmology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China.
| | - Fujun Jia
- Guangdong Mental Health Center, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China.
| | - Xiaohong Yang
- School of Medicine, South China University of Technology, Guangzhou, China; Guangdong Eye Institute, Department of Ophthalmology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China.
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Knutson D, Irgens MS, Flynn KC, Norvilitis JM, Bauer LM, Berkessel JB, Cascalheira CJ, Cera JL, Choi NY, Cuccolo K, Danielson DK, Dascano KN, Edlund JE, Fletcher T, Flinn RE, Gosnell CL, Heermans G, Horne M, Howell JL, Hua J, Ijebor EE, Jia F, McGillivray S, Ogba KTU, Shane-Simpson C, Staples A, Ugwu CF, Wang SC, Yockey A, Zheng Z, Zlokovich MS. Associations Between Primary Residence and Mental Health in Global Marginalized Populations. Community Ment Health J 2023; 59:1083-1096. [PMID: 36695952 PMCID: PMC9874180 DOI: 10.1007/s10597-023-01088-z] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/26/2022] [Accepted: 01/05/2023] [Indexed: 01/26/2023]
Abstract
Scholars suggest that marginalized people in non-urban areas experience higher distress levels and fewer psychosocial resources than in urban areas. Researchers have yet to test whether precise proximity to urban centers is associated with mental health for marginalized populations. We recruited 1733 people who reported living in 45 different countries. Participants entered their home locations and completed measures of anxiety, depression, social support, and resilience. Regression and thematic analyses were used to determine what role distance from legislative and urban centers may play in mental health when marginalized people were disaggregated. Greater distance from legislative center predicted higher anxiety and resilience. Greater distance from urban center also predicted more resilience. Thematic analyses yielded five categories (e.g., safety, connection) that further illustrated the impact of geographic location on health. Implications for community mental health are discussed including the need to better understand and further expand resilience in rural areas.
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Affiliation(s)
- D Knutson
- Oklahoma State University, 445 Willard Hall, Stillwater, OK, 74078, USA.
| | | | - K C Flynn
- United States Department of Agriculture - Agricultural Research Service, Washington, DC, USA
| | | | - L M Bauer
- University of Missouri, Columbia, MO, USA
| | | | | | - J L Cera
- New Mexico State University, Las Cruces, NM, USA
| | - N-Y Choi
- Dankook University, Yongin-Si, South Korea
| | | | - D K Danielson
- University of Toronto, Scarborough, Toronto, ON, USA
| | | | - J E Edlund
- Rochester Institute of Technology, Rochester, NY, USA
| | - T Fletcher
- West Liberty University, West Liberty, WV, USA
| | - R E Flinn
- Medical College of Georgia, Augusta University, Augusta, GA, USA
| | | | | | - M Horne
- Richmond, American International University, London, UK
| | - J L Howell
- University of California, Merced, CA, USA
| | - J Hua
- University of California, Merced, CA, USA
| | - E E Ijebor
- New Mexico State University, Las Cruces, NM, USA
| | - F Jia
- Seton Hall University, South Orange, NJ, USA
| | | | - K T U Ogba
- University of Nigeria Nsukka, Nsukka, Nigeria
| | | | - A Staples
- Weatherford College, Weatherford, TX, USA
| | - C F Ugwu
- University of Nigeria Nsukka, Nsukka, Nigeria
| | - S C Wang
- New Mexico State University, Las Cruces, NM, USA
| | - A Yockey
- University of North Texas Health Science Center, Fort Worth, TX, USA
| | - Z Zheng
- Lasell College, Auburndale, MA, USA
| | - M S Zlokovich
- Psi Chi International Honor Society in Psychology, Chattanooga, TN, USA
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4
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Li W, Cheng P, Liu Z, Ma C, Liu B, Zheng W, Scarisbrick D, Lu J, Li L, Huang Y, Wang L, Yan Y, Xiao S, Zhang Y, Zhang T, Yan J, Yu Y, Xu X, Wang Z, Xu Y, Li T, Xu G, Xu X, Xue M, Li G, Jia F, Shi J, Zhang N, Du X, Sang H, Zhang C, Liu B. Post-traumatic stress disorder and traumatic events in China: a nationally representative cross-sectional epidemiological study. Psychiatry Res 2023; 326:115282. [PMID: 37290364 DOI: 10.1016/j.psychres.2023.115282] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/13/2022] [Revised: 05/30/2023] [Accepted: 06/01/2023] [Indexed: 06/10/2023]
Abstract
Post-traumatic stress disorder (PTSD) is one of the most severe sequelae of trauma. But a nationally representative epidemiological data for PTSD and trauma events (TEs) was unavailable in China. This article firstly demonstrated detailed epidemiological information on PTSD, TEs, and related comorbidities in the national-wide community-based mental health survey in China. A total of 9,378 participants completed the PTSD-related interview of the CIDI 3.0. Lifetime prevalence and 12-month prevalence of PTSD in total respondents were 0.3% and 0.2%. while the conditional lifetime and 12-month prevalence of PTSD after trauma exposure were 1.8% and 1.1%. The prevalence of exposure to any type of TE was 17.2%. Among individuals with the exposed to TEs, younger, without regular work (being a homemaker or retried), and intimate relationship breakdown (separated/Widowed/Divorced), living rurally were associated with either the lifetime PTSD or the 12-month PTSD, while the count of a specific TE, the unexpected death of loved one, was related to both. Alcohol dependence was the most common comorbidity among male participants with PTSD but major depressive disorder (MDD) for female counterparts. Our study can provide a reliable reference for future identification and intervention for people with PTSD.
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Affiliation(s)
- Weihui Li
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha 410011, Hunan, China
| | - Peng Cheng
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha 410011, Hunan, China
| | - Zhaorui Liu
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing 100191, China
| | - Chao Ma
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing 100191, China
| | - Bangshan Liu
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha 410011, Hunan, China
| | - Wanhong Zheng
- West Virginia University Department of Behavioral Medicine and Psychiatry, 930 Chestnut Ridge Road, Morgantown, WV 26505
| | - Dave Scarisbrick
- West Virginia University Department of Behavioral Medicine and Psychiatry, West Virginia University Department of Neuroscience 930 Chestnut Ridge Road, Morgantown, WV 26505
| | - Jin Lu
- Department of Psychiatry, The First Affiliated Hospital of Kunming Medical University, Kunming 650032, Yunnan, China
| | - Lingjiang Li
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha 410011, Hunan, China.
| | - Yueqin Huang
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing 100191, China.
| | - Limin Wang
- National Center for Chronic and Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 100050, China
| | - Yongping Yan
- Department of Epidemiology, the Fourth Military Medical University, Xi'an 710032, Shaanxi Province, China
| | - Shuiyuan Xiao
- Department of Social Medicine and Health Management, School of Public Health, Central South University, Changsha 410078, Hunan, China
| | - Yan Zhang
- Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha 410011, Hunan, China
| | - Tingting Zhang
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing 100191, China
| | - Jie Yan
- Institute of Social Science Survey, Peking University, Beijing 100871, China
| | - Yaqin Yu
- Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun 130021, Jilin, China
| | - Xiufeng Xu
- Department of Psychiatry, The First Affiliated Hospital of Kunming Medical University, Kunming 650032, Yunnan, China
| | - Zhizhong Wang
- Department of Epidemiology and Statistics, School of Public Health and Management, Ningxia Medical University, Yinchuan 750004, Ningxia, China
| | - Yifeng Xu
- Shanghai Mental Health Center, School of Medicine, Shanghai Jiao Tong University, Shanghai 200030, China
| | - Tao Li
- Mental Health Centre of West China Hospital, Sichuan University, Chengdu 610041, Sichuan, China
| | - Guangming Xu
- Tianjin Anding Hospital, Mental Health Center of Tianjin Medical University, Tianjin 300222, China
| | - Xiangdong Xu
- The Fourth People's Hospital in Urumqi, Urumqi 830002, China
| | - Meihua Xue
- The Affiliated Wuxi Mental Health Center with Nanjing Medical University, Wuxi 214151, Jiangsu, China
| | - Guohua Li
- Chifeng Anding Hospital, Chifeng 024000, Inner Mongolia Autonomous Region, China
| | - Fujun Jia
- Guangdong Mental Health Center, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou 510120, Guangdong, China
| | - Jianfei Shi
- Department of Psychiatry, Hangzhou Seventh People's Hospital, Hangzhou 310013, Zhejiang, China
| | - Ning Zhang
- Nanjing Brain Hospital, Nanjing 210029, Jiangsu, China
| | - Xinbai Du
- The Third People's Hospital of Qinghai, Xining 810007, Qinghai, China
| | - Hong Sang
- Changchun Sixth Hospital, Changchun 130052, Jilin, China
| | - Congpei Zhang
- Harbin First Specialized Hospital, Harbin 150000, Heilongjiang, China
| | - Bo Liu
- Jingzhou Mental Health Center, Jingzhou 434000, Hubei China
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Killikelly C, Kagialis A, Henneman S, Coronado H, Demanarig D, Farahani H, Özdoğru AA, Yalçın B, Yockey A, Gosnell CL, Jia F, Maisel M, Stelzer E, Wilson D, Anderson J, Charles K, Cummings JP, Faas C, Knapp B, Koneczny B, Koch C, Bauer LM, Cuccolo C, Edlund JE, Heermans GF, McGillivray S, Shane-Simpson C, Staples A, Zheng Z, Zlokovich MS, Irgens MS. Corrigendum to "Measurement and assessment of grief in a large international sample" [J. Affect. Disord. Volume 327, 14 April 2023, Pages 306-314]. J Affect Disord 2023; 330:367-368. [PMID: 36966033 DOI: 10.1016/j.jad.2023.03.049] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 03/27/2023]
Affiliation(s)
- C Killikelly
- University of Zurich, Switzerland; University of British Columbia, Canada.
| | - A Kagialis
- Department of Psychiatry, School of Medicine, University of Crete, Heraklion, Greece
| | - S Henneman
- Johannes Gutenberg University Mainz, Germany
| | | | | | | | | | | | - A Yockey
- University of North Texas Health Science Center, Department of Biostatistics and Epidemiology, USA
| | | | - F Jia
- Seton Hall University, USA
| | | | | | | | | | | | | | - C Faas
- Mount St Mary's University, USA
| | - B Knapp
- Southeastern University, USA
| | | | - C Koch
- George Fox University, USA
| | | | | | | | | | | | | | | | | | - M S Zlokovich
- Psi Chi, the International Honor Society in Psychology, USA
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6
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Feng H, Yang L, Ai S, Liu Y, Zhang W, Lei B, Chen J, Liu Y, Chan JWY, Chan NY, Tan X, Wang N, Benedict C, Jia F, Wing YK, Zhang J. Association between accelerometer-measured amplitude of rest-activity rhythm and future health risk: a prospective cohort study of the UK Biobank. Lancet Healthy Longev 2023; 4:e200-e210. [PMID: 37148892 DOI: 10.1016/s2666-7568(23)00056-9] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2022] [Revised: 03/07/2023] [Accepted: 03/09/2023] [Indexed: 05/08/2023] Open
Abstract
BACKGROUND The health effects of rest-activity rhythm are of major interest to public health, but its associations with health outcomes remain elusive. We aimed to examine the associations between accelerometer-measured rest-activity rhythm amplitude and health risks among the general UK population. METHODS We did a prospective cohort analysis of UK Biobank participants aged 43-79 years with valid wrist-worn accelerometer data. Low rest-activity rhythm amplitude was defined as the first quintile of relative amplitude; all other quintiles were classified as high rest-activity rhythm amplitude. Outcomes of interest were defined using International Classification of Diseases 10th Revision codes and consisted of incident cancer and cardiovascular, infectious, respiratory, and digestive diseases, and all-cause and disease-specific (cardiovascular, cancer, and respiratory) mortality. Participants with a current diagnosis of any outcome of interest were excluded. We assessed the associations between decreased rest-activity rhythm amplitude and outcomes using Cox proportional hazards models. FINDINGS Between June 1, 2013, and Dec 23, 2015, 103 682 participants with available raw accelerometer data were enrolled. 92 614 participants (52 219 [56·4%] women and 40 395 [42·6%] men) with a median age of 64 years (IQR 56-69) were recruited. Median follow-up was 6·4 years (IQR 5·8-6·9). Decreased rest-activity rhythm amplitude was significantly associated with increased incidence of cardiovascular diseases (adjusted hazard ratio 1·11 [95% CI 1·05-1·16]), cancer (1·08 [1·01-1·16]), infectious diseases (1·31 [1·22-1·41]), respiratory diseases (1·26 [1·19-1·34]), and digestive diseases (1·08 [1·03-1·14]), as well as all-cause mortality (1·54 [1·40-1·70]) and disease-specific mortality (1·73 [1·34-2·22] for cardiovascular diseases, 1·32 [1·13-1·55] for cancer, and 1·62 [1·25-2·09] for respiratory diseases). Most of these associations were not modified by age older than 65 years or sex. Among 16 accelerometer-measured rest-activity parameters, low rest-activity rhythm amplitude had the strongest or second- strongest associations with nine health outcomes. INTERPRETATION Our results suggest that low rest-activity rhythm amplitude might contribute to major health outcomes and provide further evidence to promote risk-modifying strategies associated with rest-activity rhythm to improve health and longevity. FUNDING National Natural Science Foundation of China and China Postdoctoral Science Foundation.
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Affiliation(s)
- Hongliang Feng
- Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China; Center for Sleep and Circadian Medicine, The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China; Li Chiu Kong Family Sleep Assessment Unit, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, China; Department of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Lulu Yang
- Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Sizhi Ai
- Center for Sleep and Circadian Medicine, The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China; Department of Cardiology, Heart Center, The First Affiliated Hospital of Xinxiang Medical University, Weihui, China
| | - Yue Liu
- Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Weijie Zhang
- Center for Sleep and Circadian Medicine, The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China
| | - Binbin Lei
- Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Jie Chen
- Li Chiu Kong Family Sleep Assessment Unit, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, China; Department of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Yaping Liu
- Center for Sleep and Circadian Medicine, The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China; Li Chiu Kong Family Sleep Assessment Unit, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, China; Department of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Joey W Y Chan
- Li Chiu Kong Family Sleep Assessment Unit, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, China; Department of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Ngan Yin Chan
- Li Chiu Kong Family Sleep Assessment Unit, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, China; Department of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Xiao Tan
- Department of Big Data in Health Science, Zhejiang University School of Public Health, and Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China; Department of Medical Sciences, Uppsala University, Uppsala, Sweden
| | - Ningjian Wang
- Institute and Department of Endocrinology and Metabolism, Shanghai Ninth People's Hospital, Shanghai JiaoTong University School of Medicine, Shanghai, China
| | - Christian Benedict
- Molecular Neuropharmacology, Department of Pharmaceutical Biosciences, Uppsala University, Uppsala, Sweden
| | - Fujun Jia
- Guangdong Mental Health Center, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China
| | - Yun Kwok Wing
- Li Chiu Kong Family Sleep Assessment Unit, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, China; Department of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Jihui Zhang
- Center for Sleep and Circadian Medicine, The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China; Department of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong Special Administrative Region, China; Guangdong Mental Health Center, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China; Key Laboratory of Neurogenetics and Channelopathies of Guangdong Province and the Ministry of Education of China, Guangzhou Medical University, Guangzhou, China.
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7
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Killikelly C, Kagialis A, Henneman S, Coronado H, Demanarig D, Farahani H, Özdoğru AA, Yalçın B, Yockey A, Gosnell CL, Jia F, Maisel M, Stelzer E, Wilson D, Anderson J, Charles K, Cummings JP, Faas C, Knapp B, Koneczny B, Koch C, Bauer LM, Cuccolo C, Edlund JE, Heermans GF, McGillivray S, Shane-Simpson C, Staples A, Zheng Z, Zlokovich MS, Irgens MS. Measurement and assessment of grief in a large international sample. J Affect Disord 2023; 327:306-314. [PMID: 36736540 DOI: 10.1016/j.jad.2023.01.095] [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: 08/09/2022] [Revised: 01/17/2023] [Accepted: 01/25/2023] [Indexed: 02/01/2023]
Abstract
BACKGROUND In 2022, the International Classification of Diseases (ICD-11) and an update of the Diagnostic Statistical Manual of Mental Disorders (DSM 5 TR) were released for implementation worldwide and now include the new Prolonged Grief Disorder (PGD). The newest definition of PGD is based on robust clinical research from the Global North yet until now has not been tested for global applicability. METHODS The current study assesses the new PGD ICD-11 criteria in a large international sample of 1393 bereaved adults. The majority of the sample was included from the USΑ. Additionally, we conduct a sub-sample analysis to evaluate the psychometric properties, probable caseness of PGD, and differences in network structure across three regions of residency (USA, Greece-Cyprus, Turkey-Iran). RESULTS The psychometric validity and reliability of the 33-item International Prolonged Grief Disorder Scale (IPGDS) were confirmed across the whole sample and for each regional group. Using the strict diagnostic algorithm, the probable caseness for PGD for the whole sample was 3.6 %. Probable caseness was highest for the Greece-Cyprus group (6.9 %) followed by Turkey-Iran (3.2 %) and the USA (2.8 %). Finally, the network structure of the IPGDS standard items and cultural supplement items (total of 33 items) confirmed the strong connection between central items of PGD, and revealed unique network connections within the regional groups. LIMITATIONS Future research is encouraged to include larger sample sizes and a more systematic assessment of culture. CONCLUSION Overall, our findings confirm the global applicability of the new ICD-11 PGD disorder definition as evaluated through the newly developed IPGDS. This scale includes culturally sensitive grief symptoms that may improve clinical precision and decision-making.
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Affiliation(s)
- C Killikelly
- University of Zurich, Switzerland; University of British Columbia, Canada.
| | - A Kagialis
- Department of Psychiatry, School of Medicine, University of Crete, Heraklion, Greece
| | - S Henneman
- Johannes Gutenberg University Mainz, Germany.
| | | | | | | | | | | | - A Yockey
- University of North Texas Health Science Center, Department of Biostatistics and Epidemiology, USA.
| | | | - F Jia
- Seton Hall University, USA.
| | - M Maisel
- Mount St Mary's University, USA.
| | | | | | | | | | | | - C Faas
- Mount St Mary's University, USA.
| | - B Knapp
- Southeastern University, USA
| | | | - C Koch
- George Fox University, USA.
| | | | | | | | | | | | | | | | | | - M S Zlokovich
- Psi Chi, the International Honor Society in Psychology, USA.
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Vang C, Jia F, Vestal B, Alper S, Nick J, Davidson R, Honda J. 519 Interactions between Mycobacterium abscessus dominant circulating clones recovered from people with cystic fibrosis and alveolar macrophages from healthy donors. J Cyst Fibros 2022. [DOI: 10.1016/s1569-1993(22)01209-7] [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: 11/07/2022]
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9
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Davidson R, Rysavy N, Callahan K, Weakly N, Anderson K, Jia F, Poch K, Caceres S, Schurr M, Horswill A, Malcolm K, Vestal B, Saavedra M. 518 Targeted sequencing panel simultaneously detects Pseudomonas aeruginosa and Staphylococcus aureus species and antimicrobial resistance profiles from sputum. J Cyst Fibros 2022. [DOI: 10.1016/s1569-1993(22)01208-5] [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]
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10
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Zhu S, Wei D, Zhang D, Jia F, Liu B, Zhang J. [Prolonged epidural labor analgesia increases risks of epidural analgesia failure for conversion to cesarean section]. Nan Fang Yi Ke Da Xue Xue Bao 2022; 42:1244-1249. [PMID: 36073225 DOI: 10.12122/j.issn.1673-4254.2022.08.18] [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: 11/24/2022]
Abstract
OBJECTIVE To explore the effect of epidural labor analgesia duration on the outcomes of different anesthetic approaches for conversion to cesarean section. METHODS We retrospectively collected the clinical data of pregnant women undergoing conversion from epidural labor analgesia to cesarean section at Sichuan Maternal and Child Health Hospital and Jinjiang District Maternal and Child Health Care Hospital between July, 2019 and June, 2020. For cesarean section, the women received epidural anesthesia when the epidural catheter was maintained in correct position with effective analgesia, spinal anesthesia at the discretion of the anesthesiologists, or general anesthesia in cases requiring immediate cesarean section or following failure of epidural anesthesia or spinal anesthesia. Receiver-operating characteristic curve analysis was performed to determine the cutoff value of the analgesia duration using Youden index. The women were divided into two groups according to the cut off value for analyzing the relative risk using cross tabulations. RESULTS A total of 820 pregnant women undergoing conversion to cesarean section were enrolled in this analysis, including 615 (75.0%) in epidural anesthesia group, 186 (22.7%) in spinal anesthesia group, and 19 (2.3%) in general anesthesia group; none of the women experienced failure of epidural or spinal anesthesia. The mean anesthesia duration was 8.2±4.7 h in epidural anesthesia, 10.6±5.1 h in spinal anesthesia group, and 6.7 ± 5.2 h in general anesthesia group. Multivariate logistic regression analysis showed that prolongation of analgesia duration by 1 h (OR=1.094, 95% CI: 1.057-1.132, P < 0.001) and an increase of cervical orifice by 1 cm (OR=1.066, 95% CI: 1.011-1.124, P=0.017) were independent risk factors for epidural analgesia failure. The cutoff value of analgesia duration was 9.5 h, and beyond that duration the relative risk of receiving spinal anesthesia was 1.204 (95% CI: 1.103-2.341, P < 0.001). CONCLUSION Prolonged epidural labor analgesia increases the risk of failure of epidural analgesia for conversion to epidural anesthesia. In cases with an analgesia duration over 9.5 h, spinal anesthesia is recommended if immediate cesarean section is not required.
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Affiliation(s)
- S Zhu
- Department of Anesthesiology, Sichuan Provincial Maternity and Child Health Care Hospital/Women and Children's Hospital Affiliated to Chengdu Medical College, Chengdu 610041, China
| | - D Wei
- Chengdu Medical College, Chengdu 610500, China
| | - D Zhang
- Department of Women Health Care, Sichuan Provincial Maternity and Child Health Care Hospital/Women and Children's Hospital Affiliated to Chengdu Medical College, Chengdu 610041, China
| | - F Jia
- Department of Anesthesiology, Jinjiang Maternity and Child Health Care Hospital, Chengdu 610011, China
| | - B Liu
- Department of Anesthesiology, Jinjiang Maternity and Child Health Care Hospital, Chengdu 610011, China
| | - J Zhang
- Department of Anesthesiology, Sichuan Provincial Maternity and Child Health Care Hospital/Women and Children's Hospital Affiliated to Chengdu Medical College, Chengdu 610041, China
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Chen L, Tan W, Lin X, Lin H, Xi J, Zhang Y, Jia F, Hao Y. Influencing factors of multiple adverse outcomes among schizophrenia patients using count regression models: a cross-sectional study. BMC Psychiatry 2022; 22:472. [PMID: 35840915 PMCID: PMC9284775 DOI: 10.1186/s12888-022-04070-3] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/22/2021] [Accepted: 06/17/2022] [Indexed: 11/25/2022] Open
Abstract
BACKGROUND Schizophrenia patients have increased risks of adverse outcomes, including violent crime, aggressiveness, and suicide. However, studies of different adverse outcomes in schizophrenia patients are limited and the influencing factors for these outcomes need clarification by appropriate models. This study aimed to identify influencing factors of these adverse outcomes by examining and comparing different count regression models. METHODS This study included schizophrenia patients who had at least one follow-up record in the Guangdong Mental Health Center Network Medical System during 2020. Three types of adverse outcomes were included: a) aggressiveness with police dispatch or violent crime, b) aggressiveness without police dispatch, and c) self-harm or suicide attempts. The incidence density of these adverse outcomes was investigated using the Poisson, negative binomial (NB), zero-inflated Poisson (ZIP), and zero-inflated negative binomial (ZINB) models, accordingly. The best model was chosen based on goodness-of-fit tests. We further analyzed associations between the number of occurrences of adverse outcomes and sociodemographic, clinical factors with the best model. RESULTS A total of 130,474 schizophrenia patients were enrolled. Adverse outcomes rates were reported to be less than 1% for schizophrenia patients in 2020, in Guangdong. The NB model performed the best in terms of goodness-of-fit and interpretation when fitting for the number of occurrences of aggressiveness without police dispatch, whereas the ZINB models performed better for the other two outcomes. Age, sex, and history of adverse outcomes were influencing factors shared across these adverse outcomes. Higher education and employment were protective factors for aggressive and violent behaviors. Disease onset aged ≥ 18 years served as a significant risk factor for aggressiveness without police dispatch, and self-harm or suicide attempts. Family history of mental diseases was a risk factor for self-harm or suicide attempts individually. CONCLUSIONS NB and ZINB models were selected for fitting the number of occurrences of adverse outcomes among schizophrenia patients in our studies. Influencing factors for the incidence density of adverse outcomes included both those shared across different types and those individual to specific types. Therefore, comprehensive and customized tools in risk assessment and intervention might be necessary.
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Affiliation(s)
- Lichang Chen
- grid.12981.330000 0001 2360 039XDepartment of Medical Statistics, School of Public Health, Sun Yat-sen University, Guangzhou, 510080 Guangdong China
| | - Wenyan Tan
- Guangdong Mental Health Center, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510080 Guangdong China
| | - Xiao Lin
- grid.12981.330000 0001 2360 039XDepartment of Medical Statistics, School of Public Health, Sun Yat-sen University, Guangzhou, 510080 Guangdong China
| | - Haicheng Lin
- Guangdong Mental Health Center, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510080 Guangdong China
| | - Junyan Xi
- grid.12981.330000 0001 2360 039XDepartment of Medical Statistics, School of Public Health, Sun Yat-sen University, Guangzhou, 510080 Guangdong China
| | - Yuqin Zhang
- grid.12981.330000 0001 2360 039XDepartment of Medical Statistics, School of Public Health, Sun Yat-sen University, Guangzhou, 510080 Guangdong China
| | - Fujun Jia
- Guangdong Mental Health Center, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510080, Guangdong, China.
| | - Yuantao Hao
- Department of Medical Statistics, School of Public Health, Sun Yat-sen University, Guangzhou, 510080, Guangdong, China. .,Sun Yat-sen Global Health Institute, Sun Yat-sen University, Guangzhou, 510080, Guangdong, China. .,Center for Public Health and Epidemic Preparedness & Response, Peking University, Beijing, 100191, China.
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Tan W, Chen L, Zhang Y, Xi J, Hao Y, Jia F, Hall BJ, Gu J, Wang S, Lin H, Lin X. Regional years of life lost, years lived with disability, and disability-adjusted life-years for severe mental disorders in Guangdong Province, China: a real-world longitudinal study. Glob Health Res Policy 2022; 7:17. [PMID: 35725574 PMCID: PMC9208127 DOI: 10.1186/s41256-022-00253-3] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [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: 03/14/2022] [Accepted: 06/01/2022] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND To understand the magnitude and spatial-temporal distribution of the regional burden attributable to severe mental disorders is of great essential and high policy relevance. The study aimed to address the burden of severe mental disorders by evaluating the years of life lost, years lived with disability, and disability-adjusted life-years (DALYs) in Guangdong, China. METHODS We undertook a longitudinal study based on a multicenter database established by the Health Commission of Guangdong, involving a total of 21 prefectures and four economic regions in the Guangdong province. A total of 520,731 medical records from patients with severe mental disorders were collected for 2010-2020. Data were analyzed via an integrated evaluation framework by synthesizing prevalence estimates, epidemiological adjustment as well as comorbidity assessment to develop internally consistent estimates of DALY. DALY changes during 2010-2020 were decomposed by population growth and aging and further grouped by Socio-demographic Index (SDI). DALYs were projected to 2030 by the weighted median annualized rate of change in 2010-2020. RESULTS In 2010-2020, the average DALYs for severe mental disorders reached 798,474 (95% uncertainty interval [UI]: 536,280-1,270,465) person-years (52.2% for males, and 47.8% for females). Severe mental disorders led to a great amount of disease burden, especially in Guangzhou, Shenzhen, and Foshan cities. Schizophrenia and mental retardation with mental disorders were the two leading sources of the burden ascribed to severe mental disorders. Population growth and aging could be accountable for the increasing burden of severe mental disorders. Economic regions with higher SDI carried a greater burden but had lower annualized rates of change in DALYs. The overall burden of severe mental disorders is projected to rise modestly over the next decade. CONCLUSIONS The findings urge prioritization of initiatives focused on public mental health, prevention strategies, health resources reallocation, and active involvement of authorities to effectively address the anticipated needs.
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Affiliation(s)
- Wenyan Tan
- Guangdong Mental Health Center, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, Guangdong, China
| | - Lichang Chen
- Department of Medical Statistics and Center for Health Information Research and Guangdong Key Laboratory of Medicine, School of Public Health, Sun Yat-Sen University, 74 Zhongshan 2nd Rd, Guangzhou, 510080, Guangdong, China
| | - Yuqin Zhang
- Department of Medical Statistics and Center for Health Information Research and Guangdong Key Laboratory of Medicine, School of Public Health, Sun Yat-Sen University, 74 Zhongshan 2nd Rd, Guangzhou, 510080, Guangdong, China
| | - Junyan Xi
- Department of Medical Statistics and Center for Health Information Research and Guangdong Key Laboratory of Medicine, School of Public Health, Sun Yat-Sen University, 74 Zhongshan 2nd Rd, Guangzhou, 510080, Guangdong, China
| | - Yuantao Hao
- Peking University Center for Public Health and Epidemic Preparedness & Response, Peking University, Beijing, 100191, China
| | - Fujun Jia
- Guangdong Mental Health Center, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, Guangdong, China
| | - Brian J Hall
- Global Public Health, New York University (Shanghai), Shanghai, 200122, China
| | - Jing Gu
- Department of Medical Statistics and Center for Health Information Research and Guangdong Key Laboratory of Medicine, School of Public Health, Sun Yat-Sen University, 74 Zhongshan 2nd Rd, Guangzhou, 510080, Guangdong, China.,Sun Yat-Sen Global Health Institute, Sun Yat-Sen University, Guangzhou, 510080, Guangdong, China
| | - Shibin Wang
- Guangdong Mental Health Center, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, Guangdong, China
| | - Haicheng Lin
- Guangdong Mental Health Center, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, Guangdong, China.
| | - Xiao Lin
- Department of Medical Statistics and Center for Health Information Research and Guangdong Key Laboratory of Medicine, School of Public Health, Sun Yat-Sen University, 74 Zhongshan 2nd Rd, Guangzhou, 510080, Guangdong, China. .,Sun Yat-Sen Global Health Institute, Sun Yat-Sen University, Guangzhou, 510080, Guangdong, China.
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Kim DH, Jia F, Ok CY. P996: UTILITY OF KIT P.D816 IN MYELOID NEOPLASM WITHOUT DOCUMENTED SYSTEMIC MASTOCYTOSIS TO DETECT HIDDEN MAST CELLS IN BONE MARROW. Hemasphere 2022. [PMCID: PMC9430094 DOI: 10.1097/01.hs9.0000846852.20639.bf] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022] Open
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Gross J, Caceres S, Poch K, Hasan N, Jia F, Epperson L, Lipner E, Vang C, Honda J, Strand M, Calado V, Daley C, Strong M, Davidson R, Nick J. WS08.03 Healthcare-Associated Links in Transmission of Nontuberculous Mycobacteria in People with Cystic Fibrosis (HALT NTM): a multicentre study. J Cyst Fibros 2022. [DOI: 10.1016/s1569-1993(22)00197-7] [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: 11/28/2022]
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15
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Tan W, Weng H, Lin H, Ou A, He Z, Jia F. Disease risk analysis for schizophrenia patients by an automatic AHP framework. BMC Med Inform Decis Mak 2022; 21:375. [PMID: 35016654 PMCID: PMC8750858 DOI: 10.1186/s12911-022-01749-1] [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: 12/19/2021] [Accepted: 01/05/2022] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Based on more than 15 million follow-up records of 404,426 patients from Guangdong Mental Health Center over the past 10 years, this study aims to propose a disease risk analysis and prediction model to support chronic disease management and clinical research for schizophrenia patients. METHODS Based on a mental health information and intelligent data processing platform, we design an automatic AHP framework called AutoAHP to analyze and predict the disease risks of schizophrenia patients. Through automatic extraction, transformation and integration of follow-up data in the real world such as demography, treatment, and the disease course, a chronic database of patient status is established. In combination with age-period-cohort, logistic regression and Cox models, we apply the AutoAHP to assess disease risk and implement risk prediction in practice. RESULTS A list of essential factors for risk prediction are identified, including annual changes in mental health policy, public support, regional difference, patient gender, compliance, and social function. After the verification of 1,222,038 complete disease course and treatment records of 256,050 patients, the AutoAHP framework achieves a precision of 0.923, a recall of 0.924, and a F1 of 0.923. The model is demonstrated to be superior to general models and has better performance in risk prediction. CONCLUSIONS Aiming at the risk assessment of patients with schizophrenia which is influenced by factors, such as time, region and complication, the AutoAHP framework is able to be applied as a model in combination with logistic regression and Cox models to support clinical analysis of disease risk related factors and assist decision-making in chronic disease management.
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Affiliation(s)
- Wenyan Tan
- Guangdong Mental Health Center, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, People's Republic of China
| | - Heng Weng
- State Key Laboratory of Dampness Syndrome of Chinese Medicine, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, People's Republic of China.
| | - Haicheng Lin
- Guangdong Mental Health Center, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, People's Republic of China
| | - Aihua Ou
- State Key Laboratory of Dampness Syndrome of Chinese Medicine, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, People's Republic of China
| | - Zehui He
- State Key Laboratory of Dampness Syndrome of Chinese Medicine, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, People's Republic of China
| | - Fujun Jia
- Guangdong Mental Health Center, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, People's Republic of China.
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Peng R, Wang Y, Huang Y, Liu Z, Xu X, Ma Y, Wang L, Zhang M, Yan Y, Wang B, Xiao S, Zhou L, Li L, Zhang Y, Ma C, Zhang T, Yan J, Ding H, Yu Y, Kou C, Xu X, Lu J, Wang Z, He S, Xu Y, He Y, Li T, Guo W, Xu G, Yin H, Du X, Wu Y, Li G, Jia F, Shi J, Chen Z, Zhang N, Li S. The association of depressive symptoms with disability among adults in China. J Affect Disord 2022; 296:189-197. [PMID: 34607060 DOI: 10.1016/j.jad.2021.09.030] [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] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/27/2021] [Revised: 07/30/2021] [Accepted: 09/12/2021] [Indexed: 02/05/2023]
Abstract
BACKGROUND The symptoms that patients with major depressive disorder (MDD) experience are the dominant contributing factors to its heavy disease burden. This study sought to identify key symptoms leading to disability in patients with MDD. METHODS Subjects consisted of patients who had a 12-month MDD diagnosis based on the China Mental Health Survey (CMHS). World Health Organization Disability Assessment Schedule 2.0 (WHODAS 2.0) was used to assess the degree of disability. The associations between depressive symptoms and disability were analyzed using a linear regression and logistic regression with a complex sampling design. RESULTS Of the 32,552 community residents, 655 patients were diagnosed with 12-month MDD. The disability rate due to MDD was 1.06% (95% CI: 0.85%-1.28%) among adults in Chinese community and 50.7% (95% CI: 44.3%-57.1%) among MDD patients. Depression was associated with all functional losses measured by the WHODAS. Feelings of worthlessness in life or inappropriate guilt, and psychomotor agitation or retardation were the key symptoms related to disability. Economic status, co-morbidity of physical diseases or anxiety disorders were correlates of disability scores. LIMITATIONS The disability rate might be underestimated due to the exclusion of MDD patients living in hospitals. The effect of treatments on disability was excluded. CONCLUSIONS Psychological symptoms, not somatic symptoms, contribute to disability in MDD patients. Disability worsens when physical diseases or anxiety disorders are present. More attention could be paid to psychological symptoms, physical diseases, and anxiety disorders in MDD patients with disabilities.
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Affiliation(s)
- Rui Peng
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing 100191, China
| | - Yongshi Wang
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing 100191, China
| | - Yueqin Huang
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing 100191, China.
| | - Zhaorui Liu
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing 100191, China.
| | - Xiangdong Xu
- The Fourth People's Hospital in Urumqi, Urumqi 830002, China
| | - Yanjuan Ma
- The Fourth People's Hospital in Urumqi, Urumqi 830002, China
| | - Limin Wang
- National Center for Chronic and Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 100050, China
| | - Mei Zhang
- National Center for Chronic and Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 100050, China
| | - Yongping Yan
- Department of Epidemiology, the Fourth Military Medical University, Xi'an 710032, Shaanxi Province, China
| | - Bo Wang
- Department of Epidemiology, the Fourth Military Medical University, Xi'an 710032, Shaanxi Province, China
| | - Shuiyuan Xiao
- Department of Social Medicine and Health Management, School of Public Health, Central South University, Changsha 410078, Hunan, China
| | - Liang Zhou
- Department of Social Medicine and Health Management, School of Public Health, Central South University, Changsha 410078, Hunan, China
| | - Lingjiang Li
- Mental Health Institute, the Second Xiangya Hospital, Central South University, Changsha 410011, Hunan, China
| | - Yan Zhang
- Mental Health Institute, the Second Xiangya Hospital, Central South University, Changsha 410011, Hunan, China
| | - Chao Ma
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing 100191, China
| | - Tingting Zhang
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing 100191, China
| | - Jie Yan
- Institute of Social Science Survey, Peking University, Beijing 100871, China
| | - Hua Ding
- Institute of Social Science Survey, Peking University, Beijing 100871, China
| | - Yaqin Yu
- Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun 130021, Jilin, China
| | - Changgui Kou
- Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun 130021, Jilin, China
| | - Xiufeng Xu
- Department of Psychiatry, The First Affiliated Hospital of Kunming Medical University, Kunming 650032, Yunnan, China
| | - Jin Lu
- Department of Psychiatry, The First Affiliated Hospital of Kunming Medical University, Kunming 650032, Yunnan, China
| | - Zhizhong Wang
- Department of Epidemiology and Health Statistics, School of Public Health and Management, Ningxia Medical University, Yinchuan 750004, Ning Xia, China
| | - Shulan He
- Department of Epidemiology and Health Statistics, School of Public Health and Management, Ningxia Medical University, Yinchuan 750004, Ning Xia, China
| | - Yifeng Xu
- Shanghai Mental Health Center, School of Medicine, Shanghai Jiao Tong University, Shanghai 200030, China
| | - Yanling He
- Shanghai Mental Health Center, School of Medicine, Shanghai Jiao Tong University, Shanghai 200030, China
| | - Tao Li
- Mental Health Centre of West China Hospital, Sichuan University, Chengdu 610041, Sichuan, China
| | - Wanjun Guo
- Mental Health Centre of West China Hospital, Sichuan University, Chengdu 610041, Sichuan, China
| | | | - Huifang Yin
- Tianjin Anding Hospital, Tianjin 300222, China
| | - Xiangdong Du
- Suzhou Guangji Hospital, Suzhou 215008, Jiangsu, China
| | - Yue Wu
- The Affiliated Wuxi Mental Health Center with Nanjing Medical University, Wuxi, Jiangsu 214151, China
| | - Guohua Li
- Chifeng Anding Hospital, Chifeng 024000, Inner Mongolia Autonomous Region, China
| | - Fujun Jia
- Guangdong General Hospital, Guangdong Mental Health Institute, Guangzhou 510120, Guangdong, China
| | - Jianfei Shi
- Department of Psychiatry, Hangzhou Seventh People's Hospital, Hangzhou 310013, Zhejiang, China
| | - Zheli Chen
- The Third People's Hospital of Huzhou, Huzhou 313000, Zhejiang, China
| | - Ning Zhang
- Nanjing Brain Hospital Affiliated to Nanjing Medical University, Nanjing 210029, Jiangsu, China
| | - Shengju Li
- The Third People's Hospital of Qinghai, Xining 810007, Qinghai, China
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Nick J, Dedrick R, Hatfull G, Epperson L, Hasan N, Wheeler E, Rysavy N, Poch K, Caceres S, Lovell V, Hisert K, de Moura VCN, Hunkins J, Chatterjee D, De P, Amin A, Weakly N, Daley C, Strong M, Jia F, Davidson R. 475: Effect ofmycobacteriophage-induced lysis on the population dynamics of treatment-refractory Mycobacterium abscessus in the CF airway. J Cyst Fibros 2021. [DOI: 10.1016/s1569-1993(21)01899-3] [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: 11/16/2022]
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Jia F, Vestal B, Vang C, Alper S, Nick J, Honda J, Davidson R. 470: Genomic signatures of dominant clone isolates of Mycobacterium abscessus subsp. abscessus from CF airway samples. J Cyst Fibros 2021. [DOI: 10.1016/s1569-1993(21)01894-4] [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: 10/20/2022]
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Lu J, Xu X, Huang Y, Li T, Ma C, Xu G, Yin H, Xu X, Ma Y, Wang L, Huang Z, Yan Y, Wang B, Xiao S, Zhou L, Li L, Zhang Y, Chen H, Zhang T, Yan J, Ding H, Yu Y, Kou C, Shen Z, Jiang L, Wang Z, Sun X, Xu Y, He Y, Guo W, Jiang L, Li S, Pan W, Wu Y, Li G, Jia F, Shi J, Shen Z, Zhang N. Prevalence of depressive disorders and treatment in China: a cross-sectional epidemiological study. Lancet Psychiatry 2021; 8:981-990. [PMID: 34559991 DOI: 10.1016/s2215-0366(21)00251-0] [Citation(s) in RCA: 214] [Impact Index Per Article: 71.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/09/2021] [Revised: 06/21/2021] [Accepted: 06/30/2021] [Indexed: 02/08/2023]
Abstract
BACKGROUND In China, depressive disorders have been estimated to be the second leading cause of years lived with disability. However, nationally representative epidemiological data for depressive disorders, in particular use of mental health services by adults with these disorders, are unavailable in China. The present study, part of the China Mental Health Survey, 2012-15, aims to describe the socioeconomic characteristics and the use of mental health services in people with depressive disorders in China. METHODS The China Mental Health Survey was a cross-sectional epidemiological survey of mental disorders in a multistage clustered-area probability sample of adults of Chinese nationality (≥18 years) from 157 nationwide representative population-based disease surveillance points in 31 provinces across China. Trained investigators interviewed the participants with the Composite International Diagnostic Interview 3.0 to ascertain the presence of lifetime and 12-month depressive disorders according to DSM-IV criteria, including major depressive disorder, dysthymic disorder, and depressive disorder not otherwise specified. Participants with 12-month depressive disorders were asked whether they received any treatment for their emotional problems during the past 12 months and, if so, the specific types of treatment providers. The Sheehan Disability Scale (SDS) was used to assess impairments associated with 12-month depressive symptoms. Data-quality control procedures included logic check by computers, sequential recording check, and phone-call check by the quality controllers, and reinterview check by the psychiatrists. Data were weighted according to the age-sex-residence distribution data from China's 2010 census population survey to adjust for differential probabilities of selection and differential response, as well as to post-stratify the sample to match the population distribution. FINDINGS 28 140 respondents (12 537 [44·6%] men and 15 603 [55·4%] women) completed the survey between July 22, 2013, and March 5, 2015. Ethnicity data (Han or non-Han) were collected for only a subsample. Prevalence of any depressive disorders was higher in women than men (lifetime prevalence odds ratio [OR] 1·44 [95% CI 1·20-1·72] and 12-month prevalence OR 1·41 [1·12-1·78]), in unemployed people than employed people (lifetime OR 2·38 [95% CI 1·68-3·38] and 12-month OR 2·80 [95% CI 1·88-4·18]), and in people who were separated, widowed, or divorced compared with those who were married or cohabiting (lifetime OR 1·87 [95% CI 1·39-2·51] and 12-month OR 1·85 [95% CI 1·40-2·46]). Overall, 574 (weighted % 75·9%) of 744 people with 12-month depressive disorders had role impairment of any SDS domain: 439 (83·6%) of 534 respondents with major depressive disorder, 207 (79·8%) of 254 respondents with dysthymic disorder, and 122 (59·9%) of 189 respondents with depressive disorder not otherwise specified. Only an estimated 84 (weighted % 9·5%) of 1007 participants with 12-month depressive disorders were treated in any treatment sector: 38 (3·6%) in speciality mental health, 20 (1·5%) in general medical, two (0·3%) in human services, and 21 (2·7%) in complementary and alternative medicine. Only 12 (0·5%) of 1007 participants with depressive disorders were treated adequately. INTERPRETATION Depressive disorders in China were more prevalent in women than men, unemployed people than employed, and those who were separated, widowed, or divorced than people who were married or cohabiting. Most people with depressive disorders reported social impairment. Treatment rates were very low, and few people received adequate treatment. National programmes are needed to remove barriers to availability, accessibility, and acceptability of care for depression in China. FUNDING National Health Commission and Ministry of Science and Technology of People's Republic of China. TRANSLATION For the Chinese translation of the abstract see Supplementary Materials section.
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Affiliation(s)
- Jin Lu
- Department of Psychiatry, The First Affiliated Hospital of Kunming Medical University, Kunming, China
| | - Xiufeng Xu
- Department of Psychiatry, The First Affiliated Hospital of Kunming Medical University, Kunming, China; The Fourth People's Hospital in Urumqi, Urumqi, China
| | - Yueqin Huang
- Institute of Mental Health, Peking University Sixth Hospital, National Clinical Research Center for Mental Disorders & Key Laboratory of Mental Health, Ministry of Health, Peking University, Beijing, China.
| | - Tao Li
- Mental Health Centre, West China Hospital, Sichuan University, Chengdu, China
| | - Chao Ma
- Institute of Mental Health, Peking University Sixth Hospital, National Clinical Research Center for Mental Disorders & Key Laboratory of Mental Health, Ministry of Health, Peking University, Beijing, China
| | | | | | - Xiangdong Xu
- Department of Psychiatry, The First Affiliated Hospital of Kunming Medical University, Kunming, China; The Fourth People's Hospital in Urumqi, Urumqi, China
| | - Yanjuan Ma
- The Fourth People's Hospital in Urumqi, Urumqi, China
| | - Limin Wang
- National Center for Chronic and Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Zhengjing Huang
- National Center for Chronic and Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Yongping Yan
- Department of Epidemiology, the Fourth Military Medical University, Xi'an, China
| | - Bo Wang
- Department of Epidemiology, the Fourth Military Medical University, Xi'an, China
| | - Shuiyuan Xiao
- Department of Social Medicine and Health Management, School of Public Health, Central South University, Changsha, China
| | - Liang Zhou
- Department of Social Medicine and Health Management, School of Public Health, Central South University, Changsha, China
| | - Lingjiang Li
- Mental Health Institute, the Second Xiangya Hospital, Central South University, Changsha, China
| | - Yan Zhang
- Mental Health Institute, the Second Xiangya Hospital, Central South University, Changsha, China
| | - Hongguang Chen
- Institute of Mental Health, Peking University Sixth Hospital, National Clinical Research Center for Mental Disorders & Key Laboratory of Mental Health, Ministry of Health, Peking University, Beijing, China
| | - TingTing Zhang
- Institute of Mental Health, Peking University Sixth Hospital, National Clinical Research Center for Mental Disorders & Key Laboratory of Mental Health, Ministry of Health, Peking University, Beijing, China
| | - Jie Yan
- Institute of Social Science Survey, Peking University, Beijing, China
| | - Hua Ding
- Institute of Social Science Survey, Peking University, Beijing, China
| | - Yaqin Yu
- Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, China
| | - Changgui Kou
- Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, China
| | - Zonglin Shen
- Department of Psychiatry, The First Affiliated Hospital of Kunming Medical University, Kunming, China
| | - Linling Jiang
- Department of Psychiatry, The First Affiliated Hospital of Kunming Medical University, Kunming, China; Mental Health Centre, West China Hospital, Sichuan University, Chengdu, China
| | - Zhizhong Wang
- Department of Epidemiology and Statistics, School of Public Health, Ningxia Medical University, Yinchuan, China
| | - Xian Sun
- Department of Epidemiology and Statistics, School of Public Health, Ningxia Medical University, Yinchuan, China
| | - Yifeng Xu
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yanling He
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Wanjun Guo
- Mental Health Centre, West China Hospital, Sichuan University, Chengdu, China
| | - Lijun Jiang
- Department of Psychiatry, The First Affiliated Hospital of Kunming Medical University, Kunming, China; Mental Health Centre, West China Hospital, Sichuan University, Chengdu, China
| | - Shengyan Li
- The Third People's Hospital of Qinghai Province, Xining, Qinghai, China
| | - Wen Pan
- Suzhou Psychiatric Hospital, The Affiliated Guangji Hospital of Soochow University, Suzhou, Jiangsu, China
| | - Yue Wu
- Wuxi Mental Health Center, Nanjing Medical University, Wuxi, Jiangsu, China
| | - Guohua Li
- Chifeng Anding Hospital, Chifeng, Inner Mongolia, China
| | - Fujun Jia
- Guangdong Mental Health Center, Guangzhou, Guangdong, China
| | - Jianfei Shi
- Department of Psychiatry, Hangzhou Seventh People's Hospital, Hangzhou, Zhejiang, China
| | - Zhongxia Shen
- The Third People's Hospital of Huzhou, Huzhou, Zhejiang, China
| | - Ning Zhang
- Nanjing Brain Hospital, affiliated to Nanjing Medical University, Nanjing, Jiangsu, China
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Hu X, Huang D, Lin C, Li X, Lu F, Wei W, Yu Z, Liao H, Huang F, Huang X, Jia F. Zolpidem improves patients' sleep quality after surgical treatment for infective endocarditis: a prospective observational study. Sleep Breath 2021; 26:1097-1105. [PMID: 34449017 DOI: 10.1007/s11325-021-02479-w] [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: 02/18/2021] [Revised: 08/09/2021] [Accepted: 08/18/2021] [Indexed: 10/20/2022]
Abstract
PURPOSE The objective of this study was to investigate the efficacy of zolpidem for improving post-operative sleep quality among patients with infective endocarditis (IE) and to identify the potential risk factors for impaired sleep quality at 6 months after surgery. METHODS Patients with IE who underwent surgical treatment were divided into two groups according to zolpidem usage. The Pittsburgh Sleep Quality Index (PSQI) and Epworth Sleepiness Scale (ESS) were used to evaluate patients' sleep quality and daytime sleepiness at baseline, which was the second day after transferal, and at 6 months after surgery. Logistic regression was used to identify potential risk factors. RESULTS There were 32 patients in the zolpidem group and 42 in the control group. The PSQI and ESS scores at 6 months after surgery were significantly lower than those at baseline in both groups (P = 0.04). Additionally, 9 patients (28%) in the zolpidem group and 22 patients (52%) in the control group suffered poor sleep quality. Multivariate analysis identified age (odds ratio [OR] = 1.26, 95% confidence interval [CI]: 1.12-1.42), baseline PSQI score (OR = 2.66, 95%CI: 1.55-4.65), and no zolpidem usage (OR = 45.48, 95%CI: 3.01-691.23) as independent factors for poor sleep quality. CONCLUSIONS Poor sleep quality after IE surgery was prevalent among patients even 6 months after IE surgery. Age, baseline PSQI score and no zolpidem usage were independently associated with poor sleep quality. Therefore, zolpidem has the potential to be an effective part of a treatment arsenal for poor sleep quality after surgical treatment for IE.
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Affiliation(s)
- Xiangming Hu
- The Second School of Clinical Medicine, Southern Medical University, Guangzhou, 510515, Guangdong Province, China.,Department of Comprehensive Medicine, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510080, Guangdong Province, China
| | - Deyi Huang
- Department of Comprehensive Medicine, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510080, Guangdong Province, China
| | - Caidi Lin
- Department of Comprehensive Medicine, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510080, Guangdong Province, China
| | - Xiaoming Li
- Department of Comprehensive Medicine, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510080, Guangdong Province, China
| | - Fen Lu
- Department of Comprehensive Medicine, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510080, Guangdong Province, China
| | - Wenting Wei
- Department of Comprehensive Medicine, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510080, Guangdong Province, China
| | - Zhihong Yu
- Department of Comprehensive Medicine, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510080, Guangdong Province, China
| | - Huosheng Liao
- Department of Comprehensive Medicine, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510080, Guangdong Province, China
| | - Fang Huang
- Department of Comprehensive Medicine, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510080, Guangdong Province, China
| | - Xuezhen Huang
- Department of Comprehensive Medicine, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, 510080, Guangdong Province, China
| | - Fujun Jia
- The Second School of Clinical Medicine, Southern Medical University, Guangzhou, 510515, Guangdong Province, China. .,Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangdong Mental Health Center, No. 123, Huifu Road, Yuexiu District, Guangzhou, 510080, Guangdong Province, China.
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21
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Su Y, Yu H, Wang Z, Liu S, Zhao L, Fu Y, Yang Y, Du B, Zhang F, Zhang X, Huang M, Hou C, Huang G, Su Z, Peng M, Yan R, Zhang Y, Yan H, Wang L, Lu T, Jia F, Li K, Lv L, Wang H, Yu S, Wang Q, Tan Y, Xu Y, Zhang D, Yue W. Protocol for a pharmacogenomic study on individualised antipsychotic drug treatment for patients with schizophrenia. BJPsych Open 2021; 7:e121. [PMID: 34183088 PMCID: PMC8269926 DOI: 10.1192/bjo.2021.945] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/08/2023] Open
Abstract
BACKGROUND Schizophrenia is a severe and complex psychiatric disorder that needs treatment based on extensive experience. Antipsychotic drugs have already become the cornerstone of the treatment for schizophrenia; however, the therapeutic effect is of significant variability among patients, and only around a third of patients with schizophrenia show good efficacy. Meanwhile, drug-induced metabolic syndrome and other side-effects significantly affect treatment adherence and prognosis. Therefore, strategies for drug selection are desperately needed. In this study, we will perform pharmacogenomics research and set up an individualised preferred treatment prediction model. AIMS We aim to create a standard clinical cohort, with multidimensional index assessment of antipsychotic treatment for patients with schizophrenia. METHOD This trial is designed as a randomised clinical trial comparing treatment with different kinds of antipsychotics. A total sample of 2000 patients with schizophrenia will be recruited from in-patient units from five clinical research centres. Using a computer-generated program, the participants will be randomly assigned to four treatment groups: aripiprazole, olanzapine, quetiapine and risperidone. The primary outcomes will be measured as changes in the Positive and Negative Syndrome Scale of schizophrenia, which reflects the efficacy. Secondary outcomes include the measure of side-effects, such as metabolic syndromes. The efficacy evaluation and side-effects assessment will be performed at baseline, 2 weeks, 6 weeks and 3 months. RESULTS This trial will assess the efficacy and side effects of antipsychotics and create a standard clinical cohort with a multi-dimensional index assessment of antipsychotic treatment for schizophrenia patients. CONCLUSION This study aims to set up an individualized preferred treatment prediction model through the genetic analysis of patients using different kinds of antipsychotics.
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Affiliation(s)
- Yi Su
- Institute of Mental Health, The Sixth Hospital of Peking University, China; and Key Laboratory of Mental Health, Ministry of Health & National Clinical Research Center for Mental Disorders (Peking University), China
| | - Hao Yu
- Institute of Mental Health, The Sixth Hospital of Peking University, China; Key Laboratory of Mental Health, Ministry of Health & National Clinical Research Center for Mental Disorders (Peking University), China; and Department of Psychiatry, Jining Medical University, China
| | - Zhiren Wang
- Psychiatry Research Center, Beijing HuiLongGuan Hospital, Peking University, China
| | - Sha Liu
- Department of Psychiatry, First Hospital/First Clinical Medical College of Shanxi Medical University, China
| | - Liansheng Zhao
- Mental Health Center, West China Hospital, Sichuan University, China
| | - Yingmei Fu
- Shanghai Mental Health Center, Shanghai Jiaotong University, China
| | - Yongfeng Yang
- Henan Mental Hospital, The Second Affiliated Hospital of Xinxiang Medical University, China
| | - Bo Du
- Hebei Mental Health Center, The Sixth People's Hospital of Hebei Province, China
| | - Fuquan Zhang
- Wuxi Mental Health Center, Nanjing Medical University, China
| | - Xiangrong Zhang
- Department of Geriatric Psychiatry, Nanjing Brain Hospital Affiliated to Nanjing Medical University, China
| | - Manli Huang
- Department of Psychiatry, The First Affiliated Hospital, Zhejiang University School of Medicine, China; and The Key Laboratory of Mental Disorder's Management of Zhejiang Province, China
| | - Cailan Hou
- Guangdong Mental Health Center, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, Guangdong province, China; and School of Medicine, South China University of Technology, Guangzhou, Guangdong province, China
| | - Guoping Huang
- Department of Psychiatry, Mental Health Center of Sichuan Province, China
| | - Zhonghua Su
- Department of Psychiatry, Jining Mental Hospital, China
| | - Mao Peng
- Department of Neurology, Xuanwu Hospital, Capital Medical University, China
| | - Ran Yan
- Department of Radiology, China-Japan Friendship Hospital Affiliated to the Ministry of Health of PRC, China
| | - Yuyanan Zhang
- Institute of Mental Health, The Sixth Hospital of Peking University, China; and Key Laboratory of Mental Health, Ministry of Health & National Clinical Research Center for Mental Disorders (Peking University), China
| | - Hao Yan
- Institute of Mental Health, The Sixth Hospital of Peking University, China; and Key Laboratory of Mental Health, Ministry of Health & National Clinical Research Center for Mental Disorders (Peking University), China
| | - Lifang Wang
- Institute of Mental Health, The Sixth Hospital of Peking University, China; and Key Laboratory of Mental Health, Ministry of Health & National Clinical Research Center for Mental Disorders (Peking University), China
| | - Tianlan Lu
- Institute of Mental Health, The Sixth Hospital of Peking University, China; and Key Laboratory of Mental Health, Ministry of Health & National Clinical Research Center for Mental Disorders (Peking University), China
| | - Fujun Jia
- Guangdong Mental Health Center, Guangdong General Hospital, China; and School of Medicine, South China University of Technology, Guangzhou, Guangdong province, China
| | - Keqing Li
- Hebei Mental Health Center, The Sixth People's Hospital of Hebei Province, China
| | - Luxian Lv
- Henan Mental Hospital, The Second Affiliated Hospital of Xinxiang Medical University, China
| | - Hongxing Wang
- Department of Neurology, Xuanwu Hospital, Capital Medical University, China
| | - Shunying Yu
- Shanghai Mental Health Center, Shanghai Jiaotong University, China
| | - Qiang Wang
- Mental Health Center, West China Hospital, Sichuan University, China
| | - Yunlong Tan
- HuiLongGuan Clinical Medical School, Beijing HuiLongGuan Hospital, Peking University, China
| | - Yong Xu
- Department of Psychiatry, First Hospital/First Clinical Medical College of Shanxi Medical University, China
| | - Dai Zhang
- Institute of Mental Health, The Sixth Hospital of Peking University, China; Key Laboratory of Mental Health, Ministry of Health & National Clinical Research Center for Mental Disorders (Peking University), China; and Peking-Tsinghua Joint Center for Life Sciences, IDG/McGovern Institute for Brain Research, Peking University, China
| | - Weihua Yue
- Institute of Mental Health, The Sixth Hospital of Peking University, China; and Key Laboratory of Mental Health, Ministry of Health & National Clinical Research Center for Mental Disorders (Peking University), China
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22
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Liu N, Zhou H, Xiong X, Li Q, Jiang X, Zhao J, Yang X, Zhang M, Wang X, Wang G, Yang F, Hu J, Zhang X, Du L, Li H, Feng B, Hu Z, Chen Z, Wang C, Wang X, Zhang J, Liu T, Jia F, Sun X, Xu X, Meng H, Wang G, Zhang N, Mei Q, Tan Q, Peng C, Li J, Lu Z. Clinical characteristics of familial schizophrenia. Asia Pac Psychiatry 2021; 13:e12422. [PMID: 33053613 DOI: 10.1111/appy.12422] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/06/2020] [Accepted: 06/15/2020] [Indexed: 02/05/2023]
Abstract
INTRODUCTION A family history of psychiatric disorders is one of the strongest risk factors for schizophrenia. The characteristics of patients with a family history of psychiatric disorders have not been systematically evaluated. METHODS This multicenter study (26 centers, 2425 cases) was performed in a Chinese population to examine the sociodemographic and clinical characteristics of schizophrenia patients with a family history of psychotic disorders in comparison with those of patients with sporadic schizophrenia. RESULTS Nineteen percent of patients had a family history of mental disease. Multiple logistic regression analysis revealed that ≥4 hospitalizations (OR = 1.78, P = .004), tobacco dependence (OR = 1.48, P = .006), alcohol dependence (OR = 1.74, P = .013), and physical illness (OR = 1.89, P = .001) were independently and significantly associated with a family history of mental disease. CONCLUSION Patients with a family history of mental disorders present different demographics and clinical features than patients without a family history of psychiatric disorders.
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Affiliation(s)
- Na Liu
- Department of Psychiatry, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,Department of Psychiatry, Shanghai Tongji Hospital of Tongji University, Shanghai, China
| | - Hui Zhou
- Department of Psychiatry, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Xiangyu Xiong
- Department of Psychiatry, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Qingwei Li
- Department of Psychiatry, Shanghai Tongji Hospital of Tongji University, Shanghai, China
| | - Xuefeng Jiang
- Department of Psychiatry, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Jingping Zhao
- Mental Health Institute of the Second Xiangya Hospital, Central South University, Changsha, China
| | - Xiaoxin Yang
- Editorial Office, Chinese Journal of Psychiatry, Beijing, China
| | - Mingyuan Zhang
- Department of Psychiatry, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Xiangqun Wang
- Beijing Mental Health Institute, Peking University, Beijing, China
| | - Gang Wang
- Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China
| | - Fude Yang
- Beijing HuiLongGuan Hospital, Peking University, Beijing, China
| | - Jian Hu
- Department of Psychiatry, The First Affiliated Hospital of Harbin Medical Universtiy, Harbin, China
| | - Xinjun Zhang
- Department of Psychiatry, Tianjing Anding Hospital, Tianjin, China
| | - Lingyang Du
- Department of Psychiatry, Xiaoshan Hospital of Zhejiang Province, Hangzhou, China
| | - Huichun Li
- Department of Psychiatry, Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Bing Feng
- Department of Psychiatry, Tongde Hospital of Zhejiang Province, Hangzhou, China
| | - Zhenyu Hu
- Department of Psychiatry, Ningbo Kangning Hospital, Ningbo, China
| | - Zuoming Chen
- Department of Psychiatry, The Second Affiliated Hospital of Xinxiang Medical College, Xinxiang, China
| | - Chunxia Wang
- Department of Psychiatry, Qingdao Mental Health Center, Qingdao Seventh People's Hospital, Qingdao, China
| | - Xilin Wang
- Department of Psychiatry, Guangzhou Psychiatric Hospital, Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China
| | - Jinbei Zhang
- The Third Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
| | - Tiebang Liu
- Department of Psychiatry, Shenzhen Kangning Hospital, Shenzhen, China
| | - Fujun Jia
- Department of Psychiatry, Guangdong Mental Health Centre, Guangzhou Medical University, Foshan, China
| | - Xueli Sun
- Department of Psychiatry, West China Hospital, Sichuan University, Chengdu, China
| | - Xiufeng Xu
- Department of Psychiatry, First Affiliated Hospital of Kunming Medical University, Kunming, China
| | - Huaqing Meng
- Department of Psychiatry, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Gaohua Wang
- Department of Psychiatry, Renmin Hospital of Wuhan University, Wuhan, China
| | - Ning Zhang
- Department of Clinical Psychology, Nanjing Brain Hospital, Nanjing Medical University, Nanjing, China
| | - Qiyi Mei
- Department of Psychiatry, Suzhou Guangji Hospital, Suzhou, China
| | - Qingrong Tan
- Department of Psychiatry, Xijing Hospital, Xi'an, China
| | - Chunqing Peng
- Department of Psychiatry, The First Affiliated Hospital of University of South China, Hengyang, China
| | - Jing Li
- Department of Psychiatry, Xiangya Hospital Central South University, Changsha, China
| | - Zheng Lu
- Department of Psychiatry, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,Department of Psychiatry, Shanghai Tongji Hospital of Tongji University, Shanghai, China
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23
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Ai S, Zhang J, Zhao G, Wang N, Li G, So HC, Liu Y, Chau SWH, Chen J, Tan X, Jia F, Tang X, Shi J, Lu L, Wing YK. Causal associations of short and long sleep durations with 12 cardiovascular diseases: linear and nonlinear Mendelian randomization analyses in UK Biobank. Eur Heart J 2021; 42:3349-3357. [PMID: 33822910 DOI: 10.1093/eurheartj/ehab170] [Citation(s) in RCA: 104] [Impact Index Per Article: 34.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/04/2020] [Revised: 12/15/2020] [Accepted: 03/06/2021] [Indexed: 02/05/2023] Open
Abstract
AIMS Observational studies have suggested strong associations between sleep duration and many cardiovascular diseases (CVDs), but causal inferences have not been confirmed. We aimed to determine the causal associations between genetically predicted sleep duration and 12 CVDs using both linear and nonlinear Mendelian randomization (MR) designs. METHODS AND RESULTS Genetic variants associated with continuous, short (≤6 h) and long (≥9 h) sleep durations were used to examine the causal associations with 12 CVDs among 404 044 UK Biobank participants of White British ancestry. Linear MR analyses showed that genetically predicted sleep duration was negatively associated with arterial hypertension, atrial fibrillation, pulmonary embolism, and chronic ischaemic heart disease after correcting for multiple tests (P < 0.001). Nonlinear MR analyses demonstrated nonlinearity (L-shaped associations) between genetically predicted sleep duration and four CVDs, including arterial hypertension, chronic ischaemic heart disease, coronary artery disease, and myocardial infarction. Complementary analyses provided confirmative evidence of the adverse effects of genetically predicted short sleep duration on the risks of 5 out of the 12 CVDs, including arterial hypertension, pulmonary embolism, coronary artery disease, myocardial infarction, and chronic ischaemic heart disease (P < 0.001), and suggestive evidence for atrial fibrillation (P < 0.05). However, genetically predicted long sleep duration was not associated with any CVD. CONCLUSION This study suggests that genetically predicted short sleep duration is a potential causal risk factor of several CVDs, while genetically predicted long sleep duration is unlikely to be a causal risk factor for most CVDs.
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Affiliation(s)
- Sizhi Ai
- Li Chiu Kong Family Sleep Assessment Unit, Department of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, 33 A Kung Kok Street, Sha Tin District, Hong Kong SAR 000000, China.,Guangdong Mental Health Center, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, 123 Huifu West Road, Yuexiu District, Guangzhou 510000, China.,Department of Cardiology, Heart Center, The First Affiliated Hospital of Xinxiang Medical University, 88 Jiankang Road, Weihui 453100, China
| | - Jihui Zhang
- Li Chiu Kong Family Sleep Assessment Unit, Department of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, 33 A Kung Kok Street, Sha Tin District, Hong Kong SAR 000000, China.,Guangdong Mental Health Center, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, 123 Huifu West Road, Yuexiu District, Guangzhou 510000, China.,The Second School of Clinical Medicine, Southern Medical University, 253 Industrial Avenue Middle, Haizhu District, Guangzhou 510280, China
| | - Guoan Zhao
- Department of Cardiology, Heart Center, The First Affiliated Hospital of Xinxiang Medical University, 88 Jiankang Road, Weihui 453100, China
| | - Ningjian Wang
- Institute and Department of Endocrinology and Metabolism, Shanghai Ninth People's Hospital, Shanghai JiaoTong University School of Medicine, 639 Manufacturing Bureau Road, Huangpu District, Shanghai 200011, China
| | - Guohua Li
- Department of Cardiology, Heart Center, The First Affiliated Hospital of Xinxiang Medical University, 88 Jiankang Road, Weihui 453100, China
| | - Hon-Cheong So
- School of Biomedical Sciences, Department of Psychiatry, KIZ-CUHK Joint Laboratory of Bioresources and Molecular Research of Common Diseases, Cheung Research Centre for Management of Parkinsonism, Faculty of Medicine, The Chinese University of Hong Kong, Da Xue Road, Horse Material Water, Sha Tin District, Hong Kong SAR 000000, China
| | - Yaping Liu
- Li Chiu Kong Family Sleep Assessment Unit, Department of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, 33 A Kung Kok Street, Sha Tin District, Hong Kong SAR 000000, China
| | - Steven Wai-Ho Chau
- Li Chiu Kong Family Sleep Assessment Unit, Department of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, 33 A Kung Kok Street, Sha Tin District, Hong Kong SAR 000000, China
| | - Jie Chen
- Li Chiu Kong Family Sleep Assessment Unit, Department of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, 33 A Kung Kok Street, Sha Tin District, Hong Kong SAR 000000, China
| | - Xiao Tan
- Department of Neuroscience, Uppsala University, BMC, 3 Husargatan, Uppsala 75124, Sweden
| | - Fujun Jia
- Guangdong Mental Health Center, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, 123 Huifu West Road, Yuexiu District, Guangzhou 510000, China
| | - Xiangdong Tang
- Sleep Medicine Center, Department of Respiratory and Critical Care Medicine, Mental Health Center, Translational Neuroscience Center, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, 37 Guoxue Alley, Wuhou District, Chengdu 610041, China
| | - Jie Shi
- National Institute on Drug Dependence, Peking University Sixth Hospital, Peking University, 38 Xueyuan Road, Haidian District, Beijing 100191, China
| | - Lin Lu
- National Institute on Drug Dependence, Peking University Sixth Hospital, Peking University, 38 Xueyuan Road, Haidian District, Beijing 100191, China
| | - Yun-Kwok Wing
- Li Chiu Kong Family Sleep Assessment Unit, Department of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, 33 A Kung Kok Street, Sha Tin District, Hong Kong SAR 000000, China
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Lei B, Zhang J, Chen S, Chen J, Yang L, Ai S, Chan NY, Wang J, Dai XJ, Feng H, Liu Y, Li SX, Jia F, Wing YK. Associations of sleep phenotypes with severe intentional self-harm: a prospective analysis of the UK Biobank cohort. Sleep 2021; 44:6153445. [PMID: 33640972 DOI: 10.1093/sleep/zsab053] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [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: 10/06/2020] [Revised: 01/06/2021] [Indexed: 11/12/2022] Open
Abstract
STUDY OBJECTIVES We aimed to investigate the prospective associations of sleep phenotypes with severe intentional self-harm (ISH) in middle-aged and older adults. METHODS A total of 499,159 participants (mean age: 56.55 ± 8.09 years; female: 54.4%) were recruited from the UK Biobank between 2006 and 2010 with follow-up until February 2016 in this population-based prospective study. Severe ISH was based on hospital inpatient records or a death cause of ICD-10 codes X60-X84. Patients with hospitalized diagnosis of severe ISH before the initial assessment were excluded. Sleep phenotypes, including sleep duration, chronotype, insomnia, sleepiness, and napping, were assessed at the initial assessments. Cox regression analysis was used to estimate temporal associations between sleep phenotypes and future risk of severe ISH. RESULTS During a follow-up period of 7.04 years (SD: 0.88), 1,219 participants experienced the first hospitalization or death related to severe ISH. After adjusting for demographics, substance use, medical diseases, mental disorders, and other sleep phenotypes, short sleep duration (HR: 1.50, 95% CI: 1.23-1.83, P < .001), long sleep duration (HR: 1.56, 95% CI: 1.15-2.12, P = .004), and insomnia (usually: HR: 1.57, 95% CI: 1.31-1.89, P < .001) were significantly associated with severe ISH. Sensitivity analyses excluding participants with mental disorders preceding severe ISH yielded similar results. CONCLUSION The current study provides the empirical evidence of the independent prediction of sleep phenotypes, mainly insomnia, short and long sleep duration, for the future risk of severe ISH among middle-aged and older adults.
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Affiliation(s)
- Binbin Lei
- Li Chiu Kong Family Sleep assessment Unit, Department of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, Shatin, Hong Kong SAR, China
| | - Jihui Zhang
- Li Chiu Kong Family Sleep assessment Unit, Department of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, Shatin, Hong Kong SAR, China.,Guangdong Mental Health Center, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, Guangdong, China
| | - Sijing Chen
- Li Chiu Kong Family Sleep assessment Unit, Department of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, Shatin, Hong Kong SAR, China
| | - Jie Chen
- Li Chiu Kong Family Sleep assessment Unit, Department of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, Shatin, Hong Kong SAR, China
| | - Lulu Yang
- Li Chiu Kong Family Sleep assessment Unit, Department of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, Shatin, Hong Kong SAR, China.,Department of Psychiatry, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Sizhi Ai
- Li Chiu Kong Family Sleep assessment Unit, Department of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, Shatin, Hong Kong SAR, China
| | - Ngan Yin Chan
- Li Chiu Kong Family Sleep assessment Unit, Department of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, Shatin, Hong Kong SAR, China
| | - Jing Wang
- Li Chiu Kong Family Sleep assessment Unit, Department of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, Shatin, Hong Kong SAR, China
| | - Xi-Jian Dai
- Li Chiu Kong Family Sleep assessment Unit, Department of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, Shatin, Hong Kong SAR, China
| | - Hongliang Feng
- Li Chiu Kong Family Sleep assessment Unit, Department of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, Shatin, Hong Kong SAR, China
| | - Yaping Liu
- Li Chiu Kong Family Sleep assessment Unit, Department of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, Shatin, Hong Kong SAR, China
| | - Shirley Xin Li
- Department of Psychology, The University of Hong Kong, Hong Kong SAR, China.,The State Key Laboratory of Brain and Cognitive Sciences, The University of Hong Kong, Hong Kong SAR, China
| | - Fujun Jia
- Guangdong Mental Health Center, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, Guangdong, China
| | - Yun-Kwok Wing
- Li Chiu Kong Family Sleep assessment Unit, Department of Psychiatry, Faculty of Medicine, The Chinese University of Hong Kong, Shatin, Hong Kong SAR, China
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25
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Yang F, Xuan J, Lyu R, Wu W, Onishchenko K, Jia F. PSS4 Disease Burden of Rvo-ME in China – a Societal VALUE Perspective. Value Health Reg Issues 2020. [DOI: 10.1016/j.vhri.2020.07.540] [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: 11/29/2022]
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26
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Jia F, Ren Z, Xu J, Shao G, Dai G, Liu B, Xu A, Yang Y, Wang Y, Zhou H, Chen M. 991P Sintilimab plus IBI305 as first-line treatment for advanced hepatocellular carcinoma. Ann Oncol 2020. [DOI: 10.1016/j.annonc.2020.08.1107] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022] Open
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27
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Tan W, Lin H, Lei B, Ou A, He Z, Yang N, Jia F, Weng H, Hao T. The psychosis analysis in real-world on a cohort of large-scale patients with schizophrenia. BMC Med Inform Decis Mak 2020; 20:132. [PMID: 32646484 PMCID: PMC7477870 DOI: 10.1186/s12911-020-1125-0] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [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] [Indexed: 11/30/2022] Open
Abstract
Background With China experiencing unprecedented economic development and social change over the past three decades, Chinese policy makers and health care professionals have come to view mental health as an important outcome to monitor. Our study conducted an epidemiological study of psychosis in Guangdong province, with 20 million real-world follow-up records in the last decade. Methods Data was collected from Guangdong mental health information platform from 2010 to 2019, which had standardized disease registration and follow-up management for nearly 600,000 patients with six categories of mental diseases and 400,000 patients with schizophrenia. We conducted clinical staging for the disease course of the patients and divided the data with various factors into different stages of disease. Quantitative analysis was utilized to investigate the high relevant indicators to the disease. The results were projected on geography map for regional distribution analysis. Results The majority cases of mental disease incidence were between the age of 15 and 29, while the peak age for both male and female was between 20 to 24 years old. The disease course with the largest number of patients’ cases was between 5 to 10 years. The therapeutic effect of patients gradually decreased with the development of disease course, while the risk increased with the disease course. The analysis of influencing factors showed that poor economic conditions incurred higher risk scores, and good medication adherence was effective in improving treatment outcomes. In addition, receiving good education contributed to the reduction of the risk of schizophrenia and the improvement of the efficiency of early treatment. Through the analysis of regional distribution of schizophrenia disease, developed economic conditions and favorable resource conditions could promote the reduction of disease risk, while in economically backward regions, it often accompanied with lower therapeutic effect and higher disease risk. Conclusions Certain demographic factors had a relatively prominent impact on the therapeutic effect and risk of schizophrenia, such as high-quality medication adherence. Therapeutic effect and risk were highly correlated. Backward economic conditions often associated with poor efficacy and higher risk assessment, and the developed economy and better medical resource are beneficial for the treatment of psychotic.
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Affiliation(s)
- Wenyan Tan
- Guangdong Mental Health Center, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Science, Guangzhou, China
| | - Haicheng Lin
- Guangdong Mental Health Center, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Science, Guangzhou, China
| | - Baoxin Lei
- School of Computer Science, South China Normal University, Guangzhou, China
| | - Aihua Ou
- Department of Big Data Research of Medicine, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Zehui He
- Department of Big Data Research of Medicine, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Ning Yang
- The Affiliated Brain Hospital of Guangzhou Medical University (Guangzhou Huiai Hospital), Guangzhou, China
| | - Fujun Jia
- Guangdong Mental Health Center, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Science, Guangzhou, China.
| | - Heng Weng
- Department of Big Data Research of Medicine, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China.
| | - Tianyong Hao
- School of Computer Science, South China Normal University, Guangzhou, China.
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Li M, Zhou H, Di J, Yang M, Jia F. ILK participates in renal interstitial fibrosis by altering the phenotype of renal tubular epithelial cells via TGF-β1/smad pathway. Eur Rev Med Pharmacol Sci 2020; 23:289-296. [PMID: 30657569 DOI: 10.26355/eurrev_201901_16775] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
Abstract
OBJECTIVE To explore the specific role of ILK (integrin-linked kinase) in regulating renal fibrosis and its underlying mechanism. MATERIALS AND METHODS NRK-52E cells were induced by transforming growth factor-β1 (TGF-β1) for observing phenotype change. Renal tubular epithelial cell marker, fibrosis marker and expression level of ILK in NRK-52E cells were also detected. After overexpression of ILK, phenotype change of NRK-52E cells was observed. For in vivo experiments, we constructed UUO (unilateral ureteral obstruction) model in CD1 mice. Renal tubular epithelial cell marker, fibrosis marker and expression level of ILK in UUO mice were detected. The regulatory effect of ILK on renal fibrosis was detected after injection of ILK overexpression plasmid. Western blot was performed to detect related genes in the TGF-β1/smad pathway. RESULTS Accompanied by the TGF-β1-induced phenotype change in NRK-52E cells, both mRNA and protein levels of ILK were upregulated. Overexpression of ILK remarkably stimulated the phenotype change in NRK-52E cells. Similarly, ILK was highly expressed in UUO mice. Renal fibrosis was aggravated after injection of ILK overexpression plasmid in UUO mice. Western blot results showed that expressions of p-smad3 and smad3 were upregulated during the process of renal fibrosis. CONCLUSIONS ILK is upregulated during the process of renal fibrosis. ILK participates in the development of renal fibrosis by altering phenotypes of renal tubular epithelial cells via a TGF-β1/smad pathway.
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Affiliation(s)
- M Li
- Department of Nephrology, The Third Affiliated Hospital of Soochow University, Changzhou, China.
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Zheng H, Yang W, Zhang B, Hua G, Wang S, Jia F, Guo G, Wang W, Quan D. Reduced anterior cingulate glutamate of comorbid skin-picking disorder in adults with obsessive-compulsive disorder. J Affect Disord 2020; 265:193-199. [PMID: 32090741 DOI: 10.1016/j.jad.2020.01.059] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/29/2019] [Revised: 01/08/2020] [Accepted: 01/14/2020] [Indexed: 01/22/2023]
Abstract
BACKGROUND Obsessive Compulsive Disorder (OCD) is characterized by hyperactivity in a network of forebrain structures, including the anterior cingulate cortex (ACC). Convergent evidence suggests that glutamatergic dysfunction may contribute to the disorder. Skin picking disorder (SPD) was listed as one of the obsessive-compulsive and related disorders, which is often comorbid with OCD and share overlapping phenomenology and pathophysiology. However, potential confounding effects between the two diagnostic effects on neurotransmitter levels remain largely unexamined. METHODS We examined the pregenual anterior cingulate cortex (pACC) glutamate and other neurochemicals in 62 subjects using a single-voxel acquisition 1H MRS at 3Tesla; of these, 47 subjects yielded usable measurements of both glutamate and glutamine and were included in the analysis (17 medicated with OCD alone, 13 medicated with comorbid OCD + SPD, 17 healthy control). RESULTS OCD with comorbid SPD showed significantly lower pACC glutamate than in patients without SPD (p = 0.001) or control subjects (p = 0.035). OCD without SPD subjects showed pACC glutamate levels indistinguishable from controls (p = 0.501). In the OCD with SPD subjects, glutamate was correlated with Y-BOCS total score in female patients (n = 9, r = 0.69, p = 0.041). LIMITATIONS The main limitation of the study was the cross-sectional data. Our patients were on SSRI medication which may have modified the effect of SPD and OCD interaction on glutamate activity. CONCLUSION Our results suggest that alterations of the glutamatergic system may play an important role in the pathophysiology of a subgroup of OCD and reduced pACC glutamate may be a biomarker of a distinct subset of OCD patients.
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Affiliation(s)
- Huirong Zheng
- Guangdong Mental Health Center, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Affliated School of Medicine of South China University of Technology, Guangzhou, China.
| | - Wanqun Yang
- Department of Radiology, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
| | - Bin Zhang
- Department of Psychiatry, Nanfang Hospital, Southern Medical University, Guangzhou, China; Guangdong-Hong Kong-Macao Greater Bay Area Center for, Brain Science and Brain-Inspired Intelligence, Guangzhou, China
| | - Guanmin Hua
- Guangzhou Yuexiu District Hospital of Traditional Chinese Medicine, Guangzhou, China
| | - Shibin Wang
- Guangdong Mental Health Center, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Affliated School of Medicine of South China University of Technology, Guangzhou, China
| | - Fujun Jia
- Guangdong Mental Health Center, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Affliated School of Medicine of South China University of Technology, Guangzhou, China
| | - Guangquan Guo
- Guangdong Mental Health Center, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Affliated School of Medicine of South China University of Technology, Guangzhou, China
| | - Wenjing Wang
- Guangdong Mental Health Center, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Affliated School of Medicine of South China University of Technology, Guangzhou, China
| | - Dongming Quan
- Guangdong Mental Health Center, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Affliated School of Medicine of South China University of Technology, Guangzhou, China
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Wang Y, Wang G, Zhang N, Huang J, Wu W, Jia F, Liu T, Gao C, Hu J, Hong W, Fang Y. Association between residual symptoms and social functioning in patients with depression. Compr Psychiatry 2020; 98:152164. [PMID: 32006810 DOI: 10.1016/j.comppsych.2020.152164] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/07/2019] [Revised: 12/20/2019] [Accepted: 01/20/2020] [Indexed: 10/25/2022] Open
Abstract
OBJECTIVE There is a lack of data about residual symptoms in Chinese patients with depression. The aim of this study was to evaluate the association of residual symptoms with social functional impairment in these patients. METHODS This was a multicenter cross-sectional study conducted in 11 hospitals in eight cities of China from September 2014 to April 2015. Residual symptoms and social functioning were assessed using the SDS, QIDS-SR16, Q-LES-Q-SF, and PHQ-15 scales. Logistic regression analysis was used to determine the factors associated with social functional impairment. RESULTS Among the 1503 patients, 915 (60.9%) had no functional impairment (SDS ≤6) and 588 (39.1%) showed functional impairment (SDS >6). Those with impairment had higher PHQ-15 scores (7.4 ± 4.8 vs. 4.0 ± 3.4, P < 0.0001), lower Q-LES-Q-SF scores (all items P < 0.0001), higher SDS scores (13.9 ± 5.7 vs. 2.8 ± 2.2, P < 0.0001), and higher scores for all QIDS dimensions (all P < .0001). The factors related to functional impairment included QIDS dimension 7 (loss of interest) (OR = 2.137, 95%CI 1.600-2.853, P < 0.0001), QIDS dimension 9 (mental anxiety) (OR = 1.627, 95%CI 1.215-2.180, P = 0.0011), QIDS dimension 3 (appetite) (OR = 1.502, 95%CI 1.141-1.977, P = 0.0037), QIDS dimension 8 (energy) (OR = 1.468, 95%CI 1.092-1.973, P = 0.0110), age (OR = 0.982, 95%CI 0.971-0.993, P = 0.0013), disease course (OR = -1.004, 95%CI 1.002-1.006, P = 0.0004), and QIDS dimension 1 (sleep disorders) (OR = 1.622, 95%CI 1.068-2.463, P = 0.0232). CONCLUSION Compared with patients with normal social function, cases with impaired social function have more physical symptoms, more residual symptoms of depression, and less satisfaction with the quality of life. Residual symptoms are associated with social functional impairment in patients with depression.
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Affiliation(s)
- Yun Wang
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, PR China
| | - Gang Wang
- Mood Disorders Center, Beijing Anding Hospital, Capital Medical University, Beijing, PR China
| | - Ning Zhang
- Department of Psychiatry, Brain Hospital Affiliated to Nanjing Medical University, Nanjing, PR China
| | - Jizhong Huang
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, PR China
| | - Wenyuan Wu
- Department of Psychiatry, Tongji Hospital Affiliated to Tongji University, Shanghai, PR China
| | - Fujun Jia
- Guangdong Mental Health Center, Guangdong, PR China
| | - Tiebang Liu
- Shenzhen Kangning Hospital, Shenzhen, PR China
| | - Chengge Gao
- Department of Psychiatry, First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, PR China
| | - Jian Hu
- Mental Health Center of the First Affiliated Hospital of Harbin Medical University, Harbin, PR China
| | - Wu Hong
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, PR China; Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai, PR China.
| | - Yiru Fang
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, PR China; Shanghai Key Laboratory of Psychotic Disorders, Shanghai Mental Health Center, Shanghai, PR China; Chinese Academy of Sciences (CAS) Center for Excellence in Brain Science and Intelligence Technology, Shanghai, PR China.
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31
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Xu Y, Wang Y, Chen J, He Y, Zeng Q, Huang Y, Xu X, Lu J, Wang Z, Sun X, Chen J, Yan F, Li T, Guo W, Xu G, Tian H, Xu X, Ma Y, Wang L, Zhang M, Yan Y, Wang B, Xiao S, Zhou L, Li L, Zhang Y, Chen H, Zhang T, Yan J, Ding H, Yu Y, Kou C, Jia F, Liu J, Chen Z, Zhang N, Du X, Du X, Wu Y, Li G. The comorbidity of mental and physical disorders with self-reported chronic back or neck pain: Results from the China Mental Health Survey. J Affect Disord 2020; 260:334-341. [PMID: 31521871 DOI: 10.1016/j.jad.2019.08.089] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [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: 06/26/2019] [Revised: 08/24/2019] [Accepted: 08/28/2019] [Indexed: 11/17/2022]
Abstract
BACKGROUND To investigate mental and physical health comorbidity with chronic back or neck pain in the Chinese population, and assess the level of disability associated with chronic back or neck pain. METHODS Data were derived from a large-scale and nationally representative community survey of adult respondents on mental health disorders in China (n = 28,140). Chronic back or neck pain, other chronic pain conditions and chronic physical conditions were assessed by self-report. Mental disorders were assessed by the Composite International Diagnostic Interview (CIDI). Role disability during the past 30 days was assessed with the World Health Organization Disability Assessment Schedule (WHO-DAS-II). RESULTS The 12-month prevalence of chronic back or neck pain was 10.8%. Most of respondents with chronic back or neck pain (71.2%) reported at least one other comorbid condition, including other chronic pain conditions (53.4%), chronic physical conditions (37.9%), and mental disorders (23.9%). It was found by logistic regression that mood disorders (OR = 3.7, 95%CI:2.8-4.8) showed stronger association with chronic back or neck pain than anxiety disorders and substance disorders. Most common chronic pains and physical conditions were significantly associated with chronic back or neck pain. Chronic back or neck pain was associated with role disability after controlling for demographics and for comorbidities. Physical and mental comorbidities explained 0.7% of the association between chronic back or neck pain and role disability. CONCLUSIONS Chronic back or neck pain and physical-mental comorbidity is very common in China and chronic back or neck pain may increase the likelihood of other physical and mental diseases. This presents a great challenge for both clinical treatment and public health education. We believe that further study needs to be conducted to improve the diagnostic and management skills for comorbidity conditions.
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Affiliation(s)
- Yifeng Xu
- Shanghai Mental Health Center, Shanghai JiaoTong University School of Medicine, Shanghai Key Laboratory of Psychotic Disorders, Shanghai, China
| | - Yan Wang
- Shanghai Mental Health Center, Shanghai JiaoTong University School of Medicine, Shanghai Key Laboratory of Psychotic Disorders, Shanghai, China
| | - Jianhua Chen
- Shanghai Mental Health Center, Shanghai JiaoTong University School of Medicine, Shanghai Key Laboratory of Psychotic Disorders, Shanghai, China
| | - Yanling He
- Shanghai Mental Health Center, Shanghai JiaoTong University School of Medicine, Shanghai Key Laboratory of Psychotic Disorders, Shanghai, China
| | - Qingzhi Zeng
- Shanghai Mental Health Center, Shanghai JiaoTong University School of Medicine, Shanghai Key Laboratory of Psychotic Disorders, Shanghai, China
| | - Yueqin Huang
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing 100191, China.
| | - Xiufeng Xu
- Department of Psychiatry, The First Affiliated Hospital of Kunming Medical University, Kunming, China
| | - Jin Lu
- Department of Psychiatry, The First Affiliated Hospital of Kunming Medical University, Kunming, China
| | - Zhizhong Wang
- Department of Epidemiology and Statistics, School of Public Health, Ningxia Medical University, Yinchuan, China
| | - Xian Sun
- Department of Epidemiology and Statistics, School of Public Health, Ningxia Medical University, Yinchuan, China
| | - Jing Chen
- Shanghai Mental Health Center, Shanghai JiaoTong University School of Medicine, Shanghai Key Laboratory of Psychotic Disorders, Shanghai, China
| | - Feng Yan
- Shanghai Mental Health Center, Shanghai JiaoTong University School of Medicine, Shanghai Key Laboratory of Psychotic Disorders, Shanghai, China
| | - Tao Li
- Mental Health Centre, West China Hospital, Sichuan University, Chengdu, China
| | - Wanjun Guo
- Mental Health Centre, West China Hospital, Sichuan University, Chengdu, China
| | | | | | - Xiangdong Xu
- The Fourth People's Hospital in Urumqi, Urumqi, China
| | - Yanjuan Ma
- The Fourth People's Hospital in Urumqi, Urumqi, China
| | - Limin Wang
- National Center for Chronic and NonCommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Mei Zhang
- National Center for Chronic and NonCommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Yongping Yan
- Department of Epidemiology, Air Force Medical University of the Chinese People's Liberation Army, Xi'an, China
| | - Bo Wang
- Department of Epidemiology, Air Force Medical University of the Chinese People's Liberation Army, Xi'an, China
| | - Shuiyuan Xiao
- Department of Social Medicine and Health Management, School of Public Health, Central South University, Changsha, China
| | - Liang Zhou
- Department of Social Medicine and Health Management, School of Public Health, Central South University, Changsha, China
| | - Lingjiang Li
- Mental Health Institute, the Second Xiangya Hospital, Central-south University, Changsha, China
| | - Yan Zhang
- Mental Health Institute, the Second Xiangya Hospital, Central-south University, Changsha, China
| | - Hongguang Chen
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing 100191, China
| | - Tingting Zhang
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing 100191, China
| | - Jie Yan
- Department of Biostatistics, School of Public Health, School of Government, and Institute of Social Science Survey, Peking University, Beijing, China
| | - Hua Ding
- Department of Biostatistics, School of Public Health, School of Government, and Institute of Social Science Survey, Peking University, Beijing, China
| | - Yaqin Yu
- Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, China
| | - Changgui Kou
- Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, China
| | - Fujun Jia
- Guangdong Mental Health Center, Guangzhou, China
| | - Jian Liu
- The Seventh Hospital of Hangzhou, Hangzhou, China
| | - Zheli Chen
- Huzhou Third People's Hospital, Huzhou, China
| | - Ning Zhang
- Nanjing Brain Hospital Affiliated to Nanjing Medical University, Nanjing, China
| | - Xinbai Du
- The Third People's Hospital of Qinghai Province, Xining, China
| | - Xiangdong Du
- Suzhou Psychiatric Hospital, The Affiliated Guangji Hospital of Soochow University, Suzhou, China
| | - Yue Wu
- Wuxi Mental Health Center, Nanjing Medical University, Wuxi, China
| | - Guohua Li
- Chifeng Anding Hospital, Chifeng, China
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Yue Y, Liu X, Wang J, Jia F, Wang Q, Zhang X. Change in physicochemical characteristics and molecular weight distribution of glutenin macropolymer induced by postharvest wheat maturation. Quality Assurance and Safety of Crops & Foods 2019. [DOI: 10.3920/qas2019.1658] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
Affiliation(s)
- Y. Yue
- College of Biological Engineering, Henan University of Technology, Zhengzhou 450001, China P.R
| | - X. Liu
- College of Biological Engineering, Henan University of Technology, Zhengzhou 450001, China P.R
| | - J. Wang
- College of Biological Engineering, Henan University of Technology, Zhengzhou 450001, China P.R
| | - F. Jia
- College of Biological Engineering, Henan University of Technology, Zhengzhou 450001, China P.R
| | - Q. Wang
- College of Biological Engineering, Henan University of Technology, Zhengzhou 450001, China P.R
| | - X. Zhang
- College of Biological Engineering, Henan University of Technology, Zhengzhou 450001, China P.R
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Li M, Jia F, Zhou H, Di J, Yang M. Elevated aerobic glycolysis in renal tubular epithelial cells influences the proliferation and differentiation of podocytes and promotes renal interstitial fibrosis. Eur Rev Med Pharmacol Sci 2019; 22:5082-5090. [PMID: 30178826 DOI: 10.26355/eurrev_201808_15701] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
Abstract
OBJECTIVE The aim of this study was to elaborate the influence of changing energy metabolism pattern of renal tubular epithelial cells in the process of renal interstitial fibrosis on podocytes. Meanwhile, we also investigated the relationship between energy metabolism pattern and the development of renal interstitial fibrosis. MATERIALS AND METHODS We established a model of renal interstitial fibrosis by unilateral ureteral obstruction (UUO). The protein and messenger RNA (mRNA) expression of fibrosis signs, such as α-smooth muscle actin (α-SMA) and fibronectin (FN) were detected. We also measured the protein and mRNA expression of key glycolytic enzymes, including pyruvate kinase muscle isozyme 2 (PKM2) and human glandular kallikrein 2 (HK2). The proliferation and differentiation of podocytes during fibrosis were observed by monitoring the expression of nephrin and myocardin. In vitro experiments, primary podocytes were extracted, cultured, and stimulated with lactate. Then the alterations during the process were observed. Finally, PKM2 expression was inhibited by intravenous infusion of the plasmid. The link between the expression of marker protein as well as differentiation protein in podocytes and renal interstitial fibrosis was analyzed. RESULTS During the process of renal interstitial fibrosis, phenotypic changes and enhanced expression of fibrosis and proliferation markers were found in fibroblasts. Meanwhile, in renal tubular epithelial cells, increased expression of key enzymes of glycolysis, the level of glycolysis as well as lactate metabolites cooperatively led to hypoxic and acidic environment, eventually inhibiting the proliferation and differentiation of podocytes and aggravating fibrosis. When the level of glycolysis in renal tubular epithelial cells was reduced, the number and function of podocytes were partially restored, and renal interstitial fibrosis was alleviated. CONCLUSIONS During renal interstitial fibrosis, glycolysis of renal tubular epithelial cell was increased, leading to the recodification of energy metabolism. This process affected the number and function of podocytes and aggravated renal interstitial fibrosis.
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Affiliation(s)
- M Li
- Department of Nephrology, The Third Affiliated Hospital of Soochow University, Changzhou, China.
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Saad K, Abdel-Rahman A, Elserogy Y, Al-Atram A, El-Houfey A, Othman H, Bjørklund G, Jia F, Urbina M, Abo-Elela M, Ahmad F, Abd El-Baseer A, Ahmed A, Abdel-Salam A. Retraction: Randomized controlled trial of vitamin D supplementation in children with autism spectrum disorder. J Child Psychol Psychiatry 2019; 60:711. [PMID: 31087556 DOI: 10.1111/jcpp.13076] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/05/2023]
Abstract
The above article, published in print in the Jan 2018 issue of the Journal of Child Psychology & Psychiatry and online in Wiley Online Library (wileyonlinelibrary.com), has been retracted by the JCPP Editor-in-Chief, Edmund Sonuga-Barke, and John Wiley & Sons. Following a series of communications from readers highlighting concerns about the paper (now published on the journal website), the journal editors requested that the authors send them the raw data from the trial. In response the authors informed the editors that; (i) the electronic data base had been lost following a computer outage and (ii) that they could send only 95 out of 120 hard-copy participant data sheets as one site had closed and was no longer contactable. The substantial data loss in and of itself posed a serious difficulty in verifying the correctness of the data presented in the paper. The JCPP then analysed the data from the 95 cases itself. A number of significant discrepancies emerged between the re-analysis and the findings reported in the paper both in terms of means and standard deviations of key outcome variables across the trial. These involved very substantial differences that we judged to be extremely unlikely to have arisen due to variations in composition of the original and re-analysed samples. We also discovered previously unidentified/reported problems with missing data and recording irregularities regarding changes in treatment regimen and subject identifiers. As a result of these issues the Editors no longer have confidence in the findings reported in the original paper. Based on all these matters combined and following published guidance from the Committee on Publishing Ethics (COPE) and Wiley's Best Practice Guidelines on Publishing Ethics, we have decided that the only course of action available to us is to retract the paper.
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Zheng H, Jia F, Han H, Wang S, Guo G, Quan D, Li G, Huang H. Combined fluvoxamine and extended-release methylphenidate improved treatment response compared to fluvoxamine alone in patients with treatment-refractory obsessive-compulsive disorder: A randomized double-blind, placebo-controlled study. Eur Neuropsychopharmacol 2019; 29:397-404. [PMID: 30595354 DOI: 10.1016/j.euroneuro.2018.12.010] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [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: 07/20/2018] [Revised: 11/30/2018] [Accepted: 12/16/2018] [Indexed: 01/04/2023]
Abstract
More effective, tolerable interventions for treatment-refractory obsessive-compulsive disorder (OCD) are needed. Preliminary findings encourage optimism that methylphenidate augmentation may be of benefit in the treatment of OCD. To test modulator methylphenidate (MPH) of extended-release formulations (MPH-ER) a safe and effective add-on therapy for refractory OCD, a pilot randomized, placebo-controlled, double-blind trial was conducted at an outpatient, single-center academic setting. Participants included 44 adults with serotonin reuptake inhibitor (SRI) treatment-refractory OCD and receiving a stable fluvoxamine pharmacotherapy with Yale-Brown Obsessive Compulsive Scale (Y-BOCS) scores higher than 20. Data were analyzed in the intention-to-treat sample. All subjects were randomized into two parallel groups to receive fluvoxamine (250 mg daily) plus MPH-ER (36 mg daily) or fluvoxamine (250 mg daily) plus identical placebo tablets under double-blind conditions and followed for 8 weeks. Forty-four patients (29 [66%] men), with a mean (SD) age of 24.7 (6) years participated; with a mean (SD) duration of episode 5.7 (3) were randomized and forty-one finished the trial. In the intention-to-treat analysis, the improvement in the Y-BOCS total score and Y-BOCS obsession subscale score was more prominent in the fluvoxamine and MPH-ER group compared with those receiving placebo (P < .001). Additionally, cumulative response rates were higher in the MPH-ER vs placebo groups (59% vs 5%; P < .001). MPH-ER was well tolerated; No subjects dropped out due to side effects. In summary, combined treatment with MPH-ER demonstrated an enhanced clinical rate of response compared to placebo. Further trials should examine MPH-ER efficacy in a larger sample.
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Affiliation(s)
- Huirong Zheng
- Guangdong Mental Health Center, Guangdong General Hospital, Guangdong Academy of Medical Sciences, Affliated School of Medicine of South China University of Technology, No. 123 Huifu Xi Road, Guangzhou 510180, Guangdong, PR China.
| | - Fujun Jia
- Guangdong Mental Health Center, Guangdong General Hospital, Guangdong Academy of Medical Sciences, Affliated School of Medicine of South China University of Technology, No. 123 Huifu Xi Road, Guangzhou 510180, Guangdong, PR China
| | - Hongying Han
- Department of Psychiatry, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, Guangdong, PR China
| | - Shibin Wang
- Guangdong Mental Health Center, Guangdong General Hospital, Guangdong Academy of Medical Sciences, Affliated School of Medicine of South China University of Technology, No. 123 Huifu Xi Road, Guangzhou 510180, Guangdong, PR China
| | - Guangquan Guo
- Guangdong Mental Health Center, Guangdong General Hospital, Guangdong Academy of Medical Sciences, Affliated School of Medicine of South China University of Technology, No. 123 Huifu Xi Road, Guangzhou 510180, Guangdong, PR China
| | - Dongming Quan
- Guangdong Mental Health Center, Guangdong General Hospital, Guangdong Academy of Medical Sciences, Affliated School of Medicine of South China University of Technology, No. 123 Huifu Xi Road, Guangzhou 510180, Guangdong, PR China
| | - Gang Li
- Guangdong Mental Health Center, Guangdong General Hospital, Guangdong Academy of Medical Sciences, Affliated School of Medicine of South China University of Technology, No. 123 Huifu Xi Road, Guangzhou 510180, Guangdong, PR China
| | - Huiyan Huang
- Pharmacy Department of Guangdong General Hospital, Guangdong General Hospital, Guangdong Academy of Medical Sciences, Guangzhou, Guangdong, PR China
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Huang Y, Wang Y, Wang H, Liu Z, Yu X, Yan J, Yu Y, Kou C, Xu X, Lu J, Wang Z, He S, Xu Y, He Y, Li T, Guo W, Tian H, Xu G, Xu X, Ma Y, Wang L, Wang L, Yan Y, Wang B, Xiao S, Zhou L, Li L, Tan L, Zhang T, Ma C, Li Q, Ding H, Geng H, Jia F, Shi J, Wang S, Zhang N, Du X, Du X, Wu Y. Prevalence of mental disorders in China: a cross-sectional epidemiological study. Lancet Psychiatry 2019; 6:211-224. [PMID: 30792114 DOI: 10.1016/s2215-0366(18)30511-x] [Citation(s) in RCA: 1013] [Impact Index Per Article: 202.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/02/2018] [Revised: 12/07/2018] [Accepted: 12/07/2018] [Indexed: 02/05/2023]
Abstract
BACKGROUND The China Mental Health Survey was set up in 2012 to do a nationally representative survey with consistent methodology to investigate the prevalence of mental disorders and service use, and to analyse their social and psychological risk factors or correlates in China. This paper reports the prevalence findings. METHODS We did a cross-sectional epidemiological survey of the prevalence of mental disorders (mood disorders, anxiety disorders, alcohol-use and drug-use disorders, schizophrenia and other psychotic disorders, eating disorder, impulse-control disorder, and dementia) in a multistage clustered-area probability sample of adults from 157 nationwide representative population-based disease surveillance points in 31 provinces across China. Face-to-face interviews were done with a two-stage design by trained lay interviewers and psychiatrists with the Composite International Diagnostic Interview, the Structured Clinical Interview for DSM-IV Axis I disorders, the Community Screening Instrument for Dementia from the 10/66 dementia diagnostic package, and the Geriatric Mental State Examination. Data-quality control procedures included logic check by computers, sequential recording check, and phone-call check by the quality controllers, and reinterview check by the psychiatrists. Data were weighted to adjust for differential probabilities of selection and differential response as well as to post-stratify the sample to match the population distribution. FINDINGS 32 552 respondents completed the survey between July 22, 2013, and March 5, 2015. The weighted prevalence of any disorder (excluding dementia) was 9·3% (95% CI 5·4-13·3) during the 12 months before the interview and 16·6% (13·0-20·2) during the participants' entire lifetime before the interview. Anxiety disorders were the most common class of disorders both in the 12 months before the interview (weighted prevalence 5·0%, 4·2-5·8) and in lifetime (7·6%, 6·3-8·8). The weighted prevalence of dementia in people aged 65 years or older was 5·6% (3·5-7·6). INTERPRETATION The prevalence of most mental disorders in China in 2013 is higher than in 1982 (point prevalence 1·1% and lifetime prevalence 1·3%), 1993 (point prevalence 1·1% and lifetime prevalence 1·4%), and 2002 (12-month prevalence 7·0% and lifetime prevalence 13·2%), but lower than in 2009 (1-month prevalence 17·5%). The evidence from this survey poses serious challenges related to the high burdens of disease identified, but also offers valuable opportunities for policy makers and health-care professionals to explore and address the factors that affect mental health in China. FUNDING National Health Commission of Health (Ministry of Health) and Ministry of Science and Technology of China.
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Affiliation(s)
- Yueqin Huang
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, China.
| | - Yu Wang
- National Center for Chronic and Non-Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Hong Wang
- Department of Biostatistics, School of Public Health, Peking University, Beijing, China
| | - Zhaorui Liu
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, China
| | - Xin Yu
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, China
| | - Jie Yan
- School of Government, Peking University, Beijing, China
| | - Yaqin Yu
- Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, China
| | - Changgui Kou
- Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, China
| | - Xiufeng Xu
- Department of Psychiatry, The First Affiliated Hospital of Kunming Medical University, Kunming, China
| | - Jin Lu
- Department of Psychiatry, The First Affiliated Hospital of Kunming Medical University, Kunming, China
| | - Zhizhong Wang
- Department of Epidemiology and Statistics, School of Public Health, Ningxia Medical University, Yinchuan, China
| | - Shulan He
- Department of Epidemiology and Statistics, School of Public Health, Ningxia Medical University, Yinchuan, China
| | - Yifeng Xu
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yanling He
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Tao Li
- Mental Health Centre, West China Hospital, Sichuan University, Chengdu, China
| | - Wanjun Guo
- Mental Health Centre, West China Hospital, Sichuan University, Chengdu, China
| | | | | | - Xiangdong Xu
- The Fourth People's Hospital in Urumqi, Urumqi, China
| | - Yanjuan Ma
- The Fourth People's Hospital in Urumqi, Urumqi, China
| | - Linhong Wang
- National Center for Chronic and Non-Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Limin Wang
- National Center for Chronic and Non-Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Yongping Yan
- Department of Epidemiology, Air Force Medical University of the Chinese People's Liberation Army, Xi'an, China
| | - Bo Wang
- Department of Epidemiology, Air Force Medical University of the Chinese People's Liberation Army, Xi'an, China
| | - Shuiyuan Xiao
- Department of Social Medicine and Health Management, School of Public Health, Central South University, Changsha, China
| | - Liang Zhou
- Department of Social Medicine and Health Management, School of Public Health, Central South University, Changsha, China
| | - Lingjiang Li
- Mental Health Institute, the Second Xiangya Hospital, Central-south University, Changsha, China
| | - Liwen Tan
- Mental Health Institute, the Second Xiangya Hospital, Central-south University, Changsha, China
| | - Tingting Zhang
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, China
| | - Chao Ma
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, China
| | - Qiang Li
- Institute of Social Science Survey, Peking University, Beijing, China
| | - Hua Ding
- Institute of Social Science Survey, Peking University, Beijing, China
| | | | - Fujun Jia
- Guangdong Mental Health Center, Guangzhou, China
| | - Jianfei Shi
- The Seventh Hospital of Hangzhou, Hangzhou, China
| | | | - Ning Zhang
- Nanjing Brain Hospital Affiliated to Nanjing Medical University, Nanjing, China
| | - Xinbai Du
- The Third People's Hospital of Qinghai Province, Xining, China
| | - Xiangdong Du
- Suzhou Psychiatric Hospital, The Affiliated Guangji Hospital of Soochow University, Suzhou, China
| | - Yue Wu
- Wuxi Mental Health Center, Nanjing Medical University, Wuxi, China
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Zhang HL, Jia F, Li M, Yu F, Zhou B, Hao QH, Wang XL. Endophytic Bacillus
strains isolated from alfalfa (Medicago sativa
L.) seeds: enhancing the lifespan of Caenorhabditis elegans. Lett Appl Microbiol 2019; 68:226-233. [DOI: 10.1111/lam.13102] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/27/2017] [Revised: 07/31/2018] [Accepted: 11/22/2018] [Indexed: 11/28/2022]
Affiliation(s)
- H.-L. Zhang
- College of Life Sciences; Agricultural University of Hebei; Baoding China
| | - F. Jia
- College of Life Sciences; Agricultural University of Hebei; Baoding China
| | - M. Li
- College of Life Sciences; Agricultural University of Hebei; Baoding China
| | - F. Yu
- College of Life Sciences; Agricultural University of Hebei; Baoding China
| | - B. Zhou
- College of Life Sciences; Agricultural University of Hebei; Baoding China
| | - Q.-H. Hao
- College of Life Sciences; Agricultural University of Hebei; Baoding China
| | - X.-L. Wang
- College of Life Sciences; Agricultural University of Hebei; Baoding China
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Zheng H, Jia F, Guo G, Quan D, Li G, Huang H. [Efficacy of fluvoxamine combined with extended-release methylphenidate on treatment-refractory obsessive-compulsive disorder]. Zhong Nan Da Xue Xue Bao Yi Xue Ban 2018; 43:1230-1235. [PMID: 30643068 DOI: 10.11817/j.issn.1672-7347.2018.11.010] [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: 06/09/2023]
Abstract
To observe the clinical efficacy of dopamine modulator methylphenidate (MPH) of extended-release formulations (MPH-ER) augmentation of ongoing fluvoxamine treatment in refractory obsessive-compulsive disorder (OCD) and its effects on patient's anxiety and sleep quality.
Methods: A pilot randomized, placebo-controlled, and double-blind trial was conducted at an outpatient, single-center academic setting. Participants included 44 adults with serotonin reuptake inhibitor treatment-refractory OCD and they received a stable fluvoxamine pharmacotherapy with Yale-Brown Obsessive Compulsive Scale (Y-BOCS) scores higher than 20. The 44 patients were randomly assigned into a study group and a control group, with 22 patiencs in each group. Fluvoxamine and MPH-ER were given to the study group, while fluvoxamine and placebo were given to the control group, with 8 weeks of the treatment course. Y-BOCS, Hamilton Anxiety Scale (HAMA) were used to assess the efficacy, Pittsburgh Sleep Quality Index (PSQI) was used to evaluate the sleep quality, and Treatment Emergent Symptom Scale (TESS) was used to evaluate the side effects. Data were analyzed in the intention-to-treat sample.
Results: The improvement in the Y-BOCS total score, Y-BOCS obsession subscale score and HAMA score were more prominent in the study group than those in the control group (P<0.001). There was no significant difference in PSQI score and TESS score between the two groups. MPH-ER was well tolerated.
Conclusion: Fluvoxamine combined with MPH-ER is effective in the treatment of refractory obsessive-compulsive disorder. It can improve anxiety and has no adverse effect on sleep quality.
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Affiliation(s)
- Huirong Zheng
- Guangdong Mental Health Center, Guangdong General Hospital, Guangdong Academy of Medical Sciences, Guangzhou 510080, China
| | - Fujun Jia
- Guangdong Mental Health Center, Guangdong General Hospital, Guangdong Academy of Medical Sciences, Guangzhou 510080, China
| | - Guangquan Guo
- Guangdong Mental Health Center, Guangdong General Hospital, Guangdong Academy of Medical Sciences, Guangzhou 510080, China
| | - Dongming Quan
- Guangdong Mental Health Center, Guangdong General Hospital, Guangdong Academy of Medical Sciences, Guangzhou 510080, China
| | - Gang Li
- Guangdong Mental Health Center, Guangdong General Hospital, Guangdong Academy of Medical Sciences, Guangzhou 510080, China
| | - Huiyan Huang
- Department of Pharmacy, Guangdong General Hospital, Guangdong Academy of Medical Sciences, Guangzhou 510080, China
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Zhang H, Qu H, Ning G, Cheng B, Jia F, Li X, Chen X. MRI in the evaluation of obstructive reproductive tract anomalies in paediatric patients. Clin Radiol 2017; 72:612.e7-612.e15. [DOI: 10.1016/j.crad.2017.02.002] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2016] [Revised: 01/23/2017] [Accepted: 02/02/2017] [Indexed: 10/20/2022]
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de Souza L, Oderich G, Farber M, Haulon S, Banga P, Pereira A, Gloviczki P, Textor S, Jia F. Comparison of Renal Outcomes in Patients Treated by Zenith® Fenestrated and Zenith® Abdominal Aortic Aneurysm Stent grafts in US Prospective Pivotal Trials. J Vasc Surg 2017. [DOI: 10.1016/j.jvs.2017.04.015] [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: 11/15/2022]
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de Souza LR, Oderich GS, Farber MA, Haulon S, Banga PV, Pereira AH, Gloviczki P, Textor SC, Jia F. Editor's Choice - Comparison of Renal Outcomes in Patients Treated by Zenith ® Fenestrated and Zenith ® Abdominal Aortic Aneurysm Stent grafts in US Prospective Pivotal Trials. Eur J Vasc Endovasc Surg 2017; 53:648-655. [PMID: 28285957 DOI: 10.1016/j.ejvs.2017.02.005] [Citation(s) in RCA: 28] [Impact Index Per Article: 4.0] [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: 09/02/2016] [Accepted: 02/03/2017] [Indexed: 11/19/2022]
Abstract
OBJECTIVE/BACKGROUND Fenestrated endovascular repair (FEVAR) has been used to treat complex abdominal aortic aneurysms (AAAs). The risk of renal function deterioration compared with infrarenal endovascular aortic repair (EVAR) has not been determined. METHODS Patients with preserved renal function (estimated glomerular filtration rate [eGFR] > 45 mL/minute) enrolled in two prospective, non-randomised studies evaluating Zenith fenestrated and AAA stent grafts were matched (1:2) by propensity scores for age, sex, hypertension, diabetes, and pre-operative eGFR. Sixty-seven patients were treated by FEVAR and 134 matched controls treated by EVAR. Mean follow-up was 30 ± 20 months. Outcomes included acute kidney injury (AKI) defined by RIFLE and changes in serum creatinine (sCr), eGFR, and chronic kidney disease (CKD) staging up to 5 years. RESULTS AKI at 1 month was similar between groups, with > 25% decline in eGFR observed in 5% of FEVAR and 9% of EVAR patients (p = .39). There were no significant differences in > 25% decline in eGFR at 2 years (FEVAR 20% vs. EVAR 20%; p > .99) or 5 years (FEVAR 27% vs. EVAR 50%; p = .50). Progression to stage IV-V CKD was similar at 2 years (FEVAR 2% vs. EVAR 3%; p > .99) and 5 years (FEVAR 7% vs. EVAR 8%; p > .99), with similar sCr and eGFR up to 5 years. During follow-up, there were more renal artery stenosis/occlusions (15/67 [22%] vs. 3/134 [2%]; p < .001) and renal related re-interventions (12/67 [18%] vs. 4/134 [3%]; p < .001) in patients treated by FEVAR. Rate of progression to renal failure requiring dialysis was low and identical in both groups (1.5% vs. 1.5%; p > .99). CONCLUSION Aortic repair with FEVAR and EVAR was associated with similar rates of renal function deterioration in patients with preserved pre-operative renal function. Renal related re-interventions were higher following FEVAR, although net changes in renal function were similar in both groups.
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Affiliation(s)
- L R de Souza
- Advanced Endovascular Aortic Research Program, Division of Vascular and Endovascular Surgery, Mayo Clinic, Rochester, MN, USA; Surgery PhD Program, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
| | - G S Oderich
- Advanced Endovascular Aortic Research Program, Division of Vascular and Endovascular Surgery, Mayo Clinic, Rochester, MN, USA.
| | - M A Farber
- Division of Vascular Surgery, University of North Carolina, Chapel Hill, NC, USA
| | - S Haulon
- Aortic Center, CHRU Lille, France
| | - P V Banga
- Advanced Endovascular Aortic Research Program, Division of Vascular and Endovascular Surgery, Mayo Clinic, Rochester, MN, USA; Department of Vascular Surgery, Semmelweis University, Budapest, Hungary
| | - A H Pereira
- Surgery PhD Program, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
| | - P Gloviczki
- Advanced Endovascular Aortic Research Program, Division of Vascular and Endovascular Surgery, Mayo Clinic, Rochester, MN, USA
| | - S C Textor
- Division of Nephrology and Hypertension, Mayo Clinic, Rochester, MN, USA
| | - F Jia
- Cook Research Incorporated, West Lafayette, IN, USA
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Huo Y, Phan K, Jia F, Phan S, Mortimer A. A systematic review and meta-analysis of stent-assisted coiling versus coiling-only in treatment of intracranial aneurysm. J Vasc Interv Radiol 2016. [DOI: 10.1016/j.jvir.2015.12.303] [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: 11/25/2022] Open
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Zhang B, Hao Y, Jia F, Li X, Tang Y, Zheng H, Liu W. Effect of sertraline on breathing in depressed patients without moderate-to-severe sleep related breathing disorders. Sleep Med 2015. [DOI: 10.1016/j.sleep.2015.02.1344] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
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Li Y, Jia F, Hou C, Ryan B, Blashki G, Everall I, Ng C. A survey of the mental health workforce in Guangdong: implications for policy and workforce planning. Australas Psychiatry 2015; 23:675-8. [PMID: 26405074 DOI: 10.1177/1039856215604488] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
OBJECTIVE Mental illness is a major contributor to disease burden in China. Guangdong province has a population of over 104 million. This province's health information system is inadequate, especially the mental health workforce and service response. This paper describes a field survey to assess the existing mental health workforce and service capacity in Guangdong. METHOD A total of 125 major service providers in Guangdong were identified with the capacity to treat serious mental illness at all levels of the health system. These services were approached to complete a standardised survey based on the WHO Assessment Instrument for Mental Health Systems. RESULTS The survey identified 8498 mental health workers with 72.5% working in psychiatric hospitals. Service providers reported a treatment rate of 68.8% of a total of 430,000 people registered for treatment of severe mental illness, and only 28.4% of over a million people estimated to be experiencing severe mental illness. An inadequate mental health workforce was cited as a common barrier to treatment access. CONCLUSION Guangdong province has a significant treatment gap for severe mental illness and a shortage in the mental health workforce. The distribution of the mental health workforce and facilities is imbalanced towards hospital care rather than community care.
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Affiliation(s)
- Yue Li
- Senior Project Officer, Department of Psychiatry, Asialink, The University of Melbourne, Carlton, VIC, and; Peking University Centre for Psychiatry Research and Training, the University of Melbourne, Carlton, VIC, Australia
| | - Fujun Jia
- Director, Guangdong Mental Health Institute, Guangdong General Hospital, Guangzhou, Guangdong, China
| | - Cailan Hou
- Head of Exchange and Cooperation Department, Guangdong Mental Health Institute, Guangdong General Hospital, Guangzhou, Guangdong, China
| | - Brigid Ryan
- Project Manager, Asia Australia Mental Health, Department of Psychiatry, International Unit, St. Vincent's Mental Health, Melbourne, VIC, Australia
| | - Grant Blashki
- Nossal Institute for Global Health, The University of Melbourne, Carlton, VIC, Australia
| | - Ian Everall
- Cato Professor and Head of Department of Psychiatry, The University of Melbourne, Carlton, VIC, Australia
| | - Chee Ng
- Healthscope Chair of Psychiatry, Department of Psychiatry, The University of Melbourne, Carlton, VIC, Australia
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Ren J, Guo W, Yan JH, Liu G, Jia F. Practice and nap schedules modulate children's motor learning. Dev Psychobiol 2015; 58:107-19. [PMID: 26582507 DOI: 10.1002/dev.21380] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.7] [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: 12/10/2014] [Accepted: 10/17/2015] [Indexed: 01/04/2023]
Abstract
Night- or day-time sleep enhances motor skill acquisition. However, prominent issues remained about the circadian (time-of-day) and homeostatic (time since last sleep) effects of sleep on developmental motor learning. Therefore, we examined the effects of nap schedules and nap-test-intervals (NTIs) on the learning of finger tapping sequences on computer keyboards. Children aged 6-7, 8-9, and 10-11 years explicitly acquired the short and long tapping orders that share the same movement strings (4-2-3-1-4, 4-2-3-1-4-2-3-1-4). Following a constant 8- or 10-hr post-learning period in one of the four NTIs (2, 4, 5, 7 hr), children in the morning napping groups, the afternoon napping groups, or the waking group performed the original long sequence in retention test (4-2-3-1-4-2-3-1-4) and the mirrored-order sequence in transfer test (1-3-2-4-1-3-2-4-1). Age and treatment differences in the movement time (MT, ms) and sequence accuracy (SA, %) were compared during skill learning and in retrieval tests. Results suggest that practice or nap affects MT and SA in a greater extent for the younger learners than for the older learners. The circadian effects might not change nap-based skill learning. Importantly, the longer NTIs resulted in superior retention performance than the shorter ones, suggesting that children require a relatively longer post-nap period to form motor memory. Finally, nap-based motor learning was more marked in skill retention than in skill transfer. Brain development may play an important role in motor learning. Our discussion centers on memory consolidation and its relevance for skill acquisition from early to late childhood.
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Affiliation(s)
- Jie Ren
- Department of Sport Psychology, Shanghai Sports University, Shanghai, China
| | - Wei Guo
- Department of Sport Psychology, Shanghai Sports University, Shanghai, China
| | - Jin H Yan
- Center for Brain Disorders and Cognitive Neuroscience, Shenzhen University, 3688 Nan Hai Ave., Shenzhen, Guangdong, 518060, China.
| | - Guanmin Liu
- Department of Psychology, Tsinghua University, Beijing, China
| | - Fujun Jia
- Guangdong Mental Health Center, Guangdong General Hospital, Guangzhou, Guangdong, China
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de Souza L, Oderich G, Textor S, Farber M, Haulon S, Banga P, Gloviczki P, Jia F. Comparison of Renal Outcomes in Matched Cohorts Treated by Zenith® Fenestrated and Zenith® AAA Stent Grafts in US Prospective Pivotal Trials. Eur J Vasc Endovasc Surg 2015. [DOI: 10.1016/j.ejvs.2015.06.029] [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: 11/25/2022]
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Jia F, Tian J, Deng F, Yang G, Long M, Cheng W, Wang B, Wu J, Liu D. Subclinical hypothyroidism and the associations with macrovascular complications and chronic kidney disease in patients with Type 2 diabetes. Diabet Med 2015; 32:1097-103. [PMID: 25683250 DOI: 10.1111/dme.12724] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 02/09/2015] [Indexed: 01/20/2023]
Abstract
AIMS The prevalence of subclinical hypothyroidism (SCH) is high among patients with diabetes, although the relationship between SCH and diabetic vascular complications is unknown. This study aimed to determine the relationship between SCH and vascular complications in patients with Type 2 diabetes. METHODS In this cross sectional study, 991 patients with Type 2 diabetes were screened for thyroid function at their admission to the Second Affiliated Hospital of Chongqing Medical University. We compared the prevalence of coronary heart disease (CHD), ischaemic stroke and chronic kidney disease (CKD) with the prevalence of euthyroidism and SCH. RESULTS Among the 991 patients, 126 (12.7%) patients had SCH. The prevalence of CHD was significantly higher in the SCH group than in the euthyroid group (22.2% and 15.0%, respectively; P = 0.039). In the logistic regression analyses, SCH was associated with CHD [odds ratio (OR): 1.993; 95% confidence interval (CI): 1.135-3.497; P = 0.016]. This association was stronger in patients aged ≥ 65 years than in younger patients [2.474 (1.173-5.220); P = 0.017]. No significant association was found between SCH and ischaemic stroke. Patients with severe SCH had a high risk of CKD [1.842 (1.120-3.029); P = 0.016]. CONCLUSIONS This study provides evidence that SCH in patients with Type 2 diabetes is associated with a high prevalence of CHD (and CKD in severe SCH), although not with ischaemic stroke.
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Affiliation(s)
- F Jia
- Department of Endocrinology and Metabolism, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - J Tian
- Department of Endocrinology and Metabolism, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - F Deng
- Department of Cardiology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - G Yang
- Department of Endocrinology and Metabolism, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - M Long
- Department of Endocrinology and Metabolism, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - W Cheng
- Department of Endocrinology and Metabolism, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - B Wang
- Department of Endocrinology and Metabolism, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - J Wu
- Department of Endocrinology and Metabolism, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - D Liu
- Department of Endocrinology and Metabolism, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China
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Wu R, Su N, Zhang Z, Jia F. Treatment of Moyamoya disease by multipoint skull drilling for indirect revascularization combined with mobilization of autologous bone marrow stem cells. Genet Mol Res 2015. [PMID: 26214430 DOI: 10.4238/2015.july.3.27] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
Abstract
This study discusses the clinical efficacy of multipoint skull drilling for indirect revascularization combined with mobilization of autologous bone marrow stem cells and use of simvastatin in the treatment of moyamoya disease. Seventy-eight patients [control group (group A), 39 patients; experimental group (group B), 39 patients] with moyamoya disease were selected. Group A underwent indirect revascularization, and group B, in addition to indirect revascularization, received alternate subcutaneous injections from day 7 post-surgery. The number and differentiation of the mobilized bone marrow stem cells were detected by the proportion of hematopoietic progenitor cell (HPCs) in mononuclear cells (MNCs) in the peripheral blood. There was no statistical difference in the BI (80.2 ± 13.7) and NIHSS (6.7 ± 2.3) scores between the groups before treatment (P > 0.05). The CSS score of group B was 13.5 ± 0.6 and there was a statistical significance compared to group A (18.2 ± 0.8) (P < 0.05). There was no statistical difference in the proportion of CD34+ CDl33+ cells in MNCs in peripheral blood before surgery between the two groups (P > 0.05) and the proportions of CD34+ CDl33+ cells in MNCs in peripheral blood in groups A and B at 30 days after surgery were significantly higher than those before surgery (P < 0.05). Treating moyamoya disease by multipoint skull drilling for indirect revascularization combined with mobilization of autologous bone marrow stem cells and simvastatin is a safe and effective method as it can promote recovery of neurological functions and improve patients' daily living abilities and quality of life.
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Affiliation(s)
- R Wu
- Department of Neurosurgery, Inner Mongolia Autonomous Region People's Hospital, Hohhot, China
| | - N Su
- Department of Neurosurgery, Inner Mongolia Autonomous Region People's Hospital, Hohhot, China
| | | | - F Jia
- Department of Neurosurgery, Shanghai Renji Hospital, School of Medicine, Shanghai JiaoTong University, Shanghai, China
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Ta H, Prabhu S, Leitner E, Jia F, Putnam K, Bassler N, Peter K, Hagemeyer C. Targeted molecular imaging and cell homing in cardiovascular disease via antibody-sortagging. Atherosclerosis 2015. [DOI: 10.1016/j.atherosclerosis.2015.04.101] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
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Zheng H, Jia F, Guo G, Quan D, Li G, Wu H, Zhang B, Fan C, He X, Huang H. Abnormal Anterior Cingulate N-Acetylaspartate and Executive Functioning in Treatment-Resistant Depression After rTMS Therapy. Int J Neuropsychopharmacol 2015; 18:pyv059. [PMID: 26025780 PMCID: PMC4756723 DOI: 10.1093/ijnp/pyv059] [Citation(s) in RCA: 55] [Impact Index Per Article: 6.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/31/2014] [Accepted: 05/19/2015] [Indexed: 01/10/2023] Open
Abstract
BACKGROUND Cognitive impairment is a key feature of treatment-resistant depression (TRD) and can be related to the anterior cingulate cortex (ACC) function. Repetitive transcranial magnetic stimulation (rTMS) as an antidepressant intervention has increasingly been investigated in the last two decades. However, no studies to date have investigated the association between neurobiochemical changes within the anterior cingulate and executive dysfunction measured in TRD being treated with rTMS. METHODS Thirty-two young depressed patients with treatment-resistant unipolar depression were enrolled in a double-blind, randomized study [active (n=18) vs. sham (n=14)]. ACC metabolism was investigated before and after high-frequency (15 Hz) rTMS using 3-tesla proton magnetic resonance spectroscopy (1H-MRS). The results were compared with 28 age- and gender-matched healthy controls. Executive functioning was measured with the Wisconsin Card Sorting Test (WCST) among 34 subjects with TRD and 28 healthy subjects. RESULTS Significant reductions in N-acetylaspartate (NAA) and choline-containing Compound levels in the left ACC were found in subjects with TRD pre-rTMS when compared with healthy controls. After successful treatment, NAA levels increased significantly in the left ACC of subjects and were not different from those of age-matched controls. In the WCST, more perseverative errors and fewer correct numbers were observed in TRD subjects at baseline. Improvements in both perseverative errors and correct numbers occurred after active rTMS. In addition, improvement of perseverative errors was positively correlated with enhancement of NAA levels in the left ACC in the active rTMS group. CONCLUSIONS Our results suggest that the NAA concentration in the left ACC is associated with an improvement in cognitive functioning among subjects with TRD response to active rTMS.
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Affiliation(s)
- Huirong Zheng
- Guangdong Mental Health Center, Guangdong General Hospital, Guangdong Academy of Medical Sciences, Affiliated School of Medicine of South China University of Technology, Guangzhou, Guangdong, P.R. China (Drs Zheng, Jia, Wu, Zhang, and Fan, and Mr Guo, Quan, Li, and Ms He); Department of Radiology, Guangzhou Hui-Ai Hospital, Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, Guangdong, P.R. China (Dr Wu); Pharmacy Department of Guangdong General Hospital, Guangdong academy of medical sciences, Guangzhou, Guangdong, P.R. China (Ms Huang).
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