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Wang H, Dou S, Wang C, Gao W, Cheng B, Yan F. Identification and Experimental Validation of Parkinson's Disease with Major Depressive Disorder Common Genes. Mol Neurobiol 2023; 60:6092-6108. [PMID: 37418066 DOI: 10.1007/s12035-023-03451-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2022] [Accepted: 06/17/2023] [Indexed: 07/08/2023]
Abstract
Parkinson's disease (PD) is the second most common neurodegenerative disease that affects about 10 million people worldwide. Non-motor and motor symptoms usually accompany PD. Major depressive disorder (MDD) is one of the non-motor manifestations of PD it remains unrecognized and undertreated effectively. MDD in PD has complicated pathophysiologies and remains unclear. The study aimed to explore the candidate genes and molecular mechanisms of PD with MDD. PD (GSE6613) and MDD (GSE98793) gene expression profiles were downloaded from Gene Expression Omnibus (GEO). Above all, the data of the two datasets were standardized separately, and differentially expressed genes (DEGs) were obtained by using the Limma package of R. Take the intersection of the two differential genes and remove the genes with inconsistent expression trends. Subsequently, Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses were investigated to explore the function of the common DEGs. Additionally, the construction of the protein-protein interaction (PPI) network was to search the hub genes, and then the least absolute shrinkage and selection operator (LASSO) regression was used to further identify the key genes. GSE99039 for PD and GSE201332 for MDD were performed to validate the hub genes by the violin plot and receiver operating characteristic (ROC) curve. Last but not least, immune cell dysregulation in PD was investigated by immune cell infiltration. As a result, a total of 45 common genes with the same trend. Functional analysis revealed that they were enriched in neutrophil degranulation, secretory granule membrane, and leukocyte activation. LASSO was performed on 8 candidate hub genes after CytoHubba filtered 14 node genes. Finally, AQP9, SPI1, and RPH3A were validated by GSE99039 and GSE201332. Additionally, the three genes were also detected by the qPCR in vivo model and all increased compared to the control. The co-occurrence of PD and MDD can be attributed to AQP9, SPI1, and RPH3A genes. Neutrophils and monocyte infiltration play important roles in the development of PD and MDD. Novel insights may be gained from the findings for the study of mechanisms.
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Affiliation(s)
- Huiqing Wang
- School of Medicine, Southeast University, Nanjing, Jiangsu, 210009, People's Republic of China
| | - Shanshan Dou
- College of Basic Medicine, Jining Medical University, Jining, 272067, People's Republic of China
| | - Chunmei Wang
- Neurobiology Institute, Jining Medical University, Jining, 272067, China
| | - Wenming Gao
- College of Basic Medicine, Jining Medical University, Jining, 272067, People's Republic of China
| | - Baohua Cheng
- College of Basic Medicine, Jining Medical University, Jining, 272067, People's Republic of China.
- Neurobiology Institute, Jining Medical University, Jining, 272067, China.
| | - Fuling Yan
- Department of Neurology, School of Medicine, Affiliated ZhongDa Hospital, Southeast University, No. 87 Dingjiaqiao Road, Nanjing, 210009, People's Republic of China.
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Ahmad MH, Rizvi MA, Ali M, Mondal AC. Neurobiology of depression in Parkinson's disease: Insights into epidemiology, molecular mechanisms and treatment strategies. Ageing Res Rev 2023; 85:101840. [PMID: 36603690 DOI: 10.1016/j.arr.2022.101840] [Citation(s) in RCA: 13] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2022] [Revised: 12/25/2022] [Accepted: 12/31/2022] [Indexed: 01/03/2023]
Abstract
Parkinson's disease (PD) is characterized mainly by motor dysfunctions due to the progressive loss of dopaminergic neurons. However, PD patients experience a multitude of debilitating non-motor symptoms, including depression, which may have deleteriously detrimental effects on life. Depression is multifactorial and exhibits a bimodal progression in PD, but its underlying molecular mechanisms are poorly understood. Studies demonstrating the pathophysiology of depression in PD and the specific treatment strategies for depression-like symptoms in PD patients are largely lacking, often underrated, under-recognized and, consequently, inadequately/under-treated. Nevertheless, reports suggest that the incidence of depression is approximately 20-30% of PD patients and may precede the onset of motor symptoms. Diagnosing depression in PD becomes difficult due to the clinical overlap in symptomatology between the two diseases, and the nigrostriatal dysfunction alone is insufficient to explain depressive symptoms in PD. Therefore, the current study provides an overview of the molecular mechanisms underlying the development of depression in PD and new insights into developing current antidepressant strategies to treat depression in PD. This review will identify and understand the molecular pathological mechanisms of depression in PD that will fundamentally help tailoring therapeutic interventions for depressive symptoms in PD.
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Affiliation(s)
- Mir Hilal Ahmad
- Laboratory of Cellular and Molecular Neurobiology, School of Life Sciences, Jawaharlal Nehru University, New Delhi 110067, India; Genome Biology Lab, Department of Biosciences, Jamia Millia Islamia, New Delhi 110025, India
| | - Moshahid Alam Rizvi
- Genome Biology Lab, Department of Biosciences, Jamia Millia Islamia, New Delhi 110025, India
| | - Mansoor Ali
- Cancer Biology Laboratory, School of Life Sciences, Jawaharlal Nehru University, New Delhi 110067, India
| | - Amal Chandra Mondal
- Laboratory of Cellular and Molecular Neurobiology, School of Life Sciences, Jawaharlal Nehru University, New Delhi 110067, India.
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Lee Y, Chang YY, Chen YF, Lin TK, Hung CF, Chiou YJ, Wang LJ. Prevalence and Risk Factors of Depression between Patients with Parkinson’s Disease and Their Caregivers: A One-Year Prospective Study. Healthcare (Basel) 2022; 10:healthcare10071305. [PMID: 35885832 PMCID: PMC9318994 DOI: 10.3390/healthcare10071305] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2022] [Revised: 07/07/2022] [Accepted: 07/12/2022] [Indexed: 11/20/2022] Open
Abstract
Depression is a common comorbidity in patients with Parkinson’s disease (PD) and in their caregivers. This study aimed to compare the prevalence and risk factors of depression between patients with PD and their caregivers. In total, 113 patients with PD and 101 caregivers were enrolled. Patients with PD were assessed using the Mini International Neuropsychiatric Interview, Unified Parkinson’s Disease Rating Scale (UPDRS), Activities of Daily Living (ADL), Hospital Anxiety and Depression Scale, Beck Hopelessness Scale, Brief Fatigue Inventory, Connor–Davidson Resilience Scale, and Big Five Inventory-10. Caregivers of patients with PD were also assessed using the above-mentioned instruments, with the exception of the UPDRS and ADL. During a 12-month follow-up period, depressive disorders were the most common psychiatric diagnosis of PD patients (27.4%) and their caregivers (17.8%). Depressive disorders were more prevalent in PD patients than in caregivers of PD patients throughout the entire follow-up phase. The severity of fatigue and severity of suicide risk were significantly associated with depression among patients with PD. The severity of pain and severity of anxiety were predictors of depression in caregivers of PD patients. The findings in this study provide references for early detection and treatment of depressive disorders in PD patients and their caregivers.
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Affiliation(s)
- Yu Lee
- Department of Psychiatry, Kaohsiung Chang Gung Memorial Hospital and Chang Gung University College of Medicine, Kaohsiung 83301, Taiwan; (Y.L.); (C.-F.H.); (Y.-J.C.)
| | - Yung-Yee Chang
- Department of Neurology, Kaohsiung Chang Gung Memorial Hospital and Chang Gung University College of Medicine, Kaohsiung 83301, Taiwan; (Y.-Y.C.); (Y.-F.C.); (T.-K.L.)
| | - Ying-Fa Chen
- Department of Neurology, Kaohsiung Chang Gung Memorial Hospital and Chang Gung University College of Medicine, Kaohsiung 83301, Taiwan; (Y.-Y.C.); (Y.-F.C.); (T.-K.L.)
| | - Tsu-Kung Lin
- Department of Neurology, Kaohsiung Chang Gung Memorial Hospital and Chang Gung University College of Medicine, Kaohsiung 83301, Taiwan; (Y.-Y.C.); (Y.-F.C.); (T.-K.L.)
| | - Chi-Fa Hung
- Department of Psychiatry, Kaohsiung Chang Gung Memorial Hospital and Chang Gung University College of Medicine, Kaohsiung 83301, Taiwan; (Y.L.); (C.-F.H.); (Y.-J.C.)
| | - Yu-Jie Chiou
- Department of Psychiatry, Kaohsiung Chang Gung Memorial Hospital and Chang Gung University College of Medicine, Kaohsiung 83301, Taiwan; (Y.L.); (C.-F.H.); (Y.-J.C.)
| | - Liang-Jen Wang
- Department of Child and Adolescent Psychiatry, Kaohsiung Chang Gung Memorial Hospital and Chang Gung University College of Medicine, Kaohsiung 83301, Taiwan
- Correspondence: ; Tel.: +886-7-7317123 (ext. 8753); Fax: +886-7-7326817
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Prange S, Klinger H, Laurencin C, Danaila T, Thobois S. Depression in Patients with Parkinson's Disease: Current Understanding of its Neurobiology and Implications for Treatment. Drugs Aging 2022; 39:417-439. [PMID: 35705848 PMCID: PMC9200562 DOI: 10.1007/s40266-022-00942-1] [Citation(s) in RCA: 40] [Impact Index Per Article: 20.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 05/09/2022] [Indexed: 12/11/2022]
Abstract
Depression is one of the most frequent and burdensome non-motor symptoms in Parkinson’s disease (PD), across all stages. Even when its severity is mild, PD depression has a great impact on quality of life for these patients and their caregivers. Accordingly, accurate diagnosis, supported by validated scales, identification of risk factors, and recognition of motor and non-motor symptoms comorbid to depression are critical to understanding the neurobiology of depression, which in turn determines the effectiveness of dopaminergic drugs, antidepressants and non-pharmacological interventions. Recent advances using in vivo functional and structural imaging demonstrate that PD depression is underpinned by dysfunction of limbic networks and monoaminergic systems, depending on the stage of PD and its associated symptoms, including apathy, anxiety, rapid eye movement sleep behavior disorder (RBD), cognitive impairment and dementia. In particular, the evolution of serotonergic, noradrenergic, and dopaminergic dysfunction and abnormalities of limbic circuits across time, involving the anterior cingulate and orbitofrontal cortices, amygdala, thalamus and ventral striatum, help to delineate the variable expression of depression in patients with prodromal, early and advanced PD. Evidence is accumulating to support the use of dual serotonin and noradrenaline reuptake inhibitors (desipramine, nortriptyline, venlafaxine) in patients with PD and moderate to severe depression, while selective serotonin reuptake inhibitors, repetitive transcranial magnetic stimulation and cognitive behavioral therapy may also be considered. In all patients, recent findings advocate that optimization of dopamine replacement therapy and evaluation of deep brain stimulation of the subthalamic nucleus to improve motor symptoms represents an important first step, in addition to physical activity. Overall, this review indicates that increasing understanding of neurobiological changes help to implement a roadmap of tailored interventions for patients with PD and depression, depending on the stage and comorbid symptoms underlying PD subtypes and their prognosis.
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Affiliation(s)
- Stéphane Prange
- Hospices Civils de Lyon, Hôpital Neurologique Pierre Wertheimer, Service de Neurologie C, Centre Expert Parkinson, NS-PARK/FCRIN Network, 59 Boulevard Pinel, 69500, Bron, France. .,Physiopathology of the Basal Ganglia Team, Univ Lyon, Institut des Sciences Cognitives Marc Jeannerod, CNRS, UMR 5229, 67 Boulevard Pinel, 69675, Bron, France. .,Department of Nuclear Medicine, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany.
| | - Hélène Klinger
- Hospices Civils de Lyon, Hôpital Neurologique Pierre Wertheimer, Service de Neurologie C, Centre Expert Parkinson, NS-PARK/FCRIN Network, 59 Boulevard Pinel, 69500, Bron, France
| | - Chloé Laurencin
- Hospices Civils de Lyon, Hôpital Neurologique Pierre Wertheimer, Service de Neurologie C, Centre Expert Parkinson, NS-PARK/FCRIN Network, 59 Boulevard Pinel, 69500, Bron, France.,Physiopathology of the Basal Ganglia Team, Univ Lyon, Institut des Sciences Cognitives Marc Jeannerod, CNRS, UMR 5229, 67 Boulevard Pinel, 69675, Bron, France
| | - Teodor Danaila
- Hospices Civils de Lyon, Hôpital Neurologique Pierre Wertheimer, Service de Neurologie C, Centre Expert Parkinson, NS-PARK/FCRIN Network, 59 Boulevard Pinel, 69500, Bron, France.,Physiopathology of the Basal Ganglia Team, Univ Lyon, Institut des Sciences Cognitives Marc Jeannerod, CNRS, UMR 5229, 67 Boulevard Pinel, 69675, Bron, France
| | - Stéphane Thobois
- Hospices Civils de Lyon, Hôpital Neurologique Pierre Wertheimer, Service de Neurologie C, Centre Expert Parkinson, NS-PARK/FCRIN Network, 59 Boulevard Pinel, 69500, Bron, France. .,Physiopathology of the Basal Ganglia Team, Univ Lyon, Institut des Sciences Cognitives Marc Jeannerod, CNRS, UMR 5229, 67 Boulevard Pinel, 69675, Bron, France. .,Faculté de Médecine et de Maïeutique Lyon Sud Charles Mérieux, Univ Lyon, Université Claude Bernard Lyon 1, Oullins, France.
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Bareeqa SB, Samar SS, Kamal S, Masood Y, Allahyar, Ahmed SI, Hayat G. Prodromal depression and subsequent risk of developing Parkinson's disease: a systematic review with meta-analysis. Neurodegener Dis Manag 2022; 12:155-164. [PMID: 35512296 DOI: 10.2217/nmt-2022-0001] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022] Open
Abstract
Aim: Parkinson's disease (PD) is a progressive neurological disorder that predominately affects dopaminergic neurons. We believe that this pooling of data will help to better understand the prodromal nature of depression in PD. Materials & methods: We conducted this study in accordance with PRISMA guidelines 2020. Fifteen eligible articles were shortlisted for final analysis. Risk of bias assessment was also conducted Results: The random-effect model revealed that the risk of subsequent Parkinson's disease in patients with prodromal depression was twice as likely (OR, 2.04; 95% CI, 1.02-4.08) as compared with a healthy population. Conclusion: Our meta-analysis concluded that the subsequent risk of PD is significantly higher in patients with depression as compared with healthy individuals.
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Affiliation(s)
| | - Syeda Sana Samar
- Medical Student, Jinnah Sindh Medical University, Karachi, Sindh, 75510, Pakistan
| | - Sufiyan Kamal
- Medical Student, Jinnah Sindh Medical University, Karachi, Sindh, 75510, Pakistan
| | - Yasir Masood
- Washington University in Saint Louis, MO 63130, USA
| | - Allahyar
- Bolan Medical Complex Hospital, Quetta, Balochistan, 87300, Pakistan
| | - Syed Ijlal Ahmed
- Department of Neurology, Neurology Resident, Saint Louis University, MO 63103, USA
| | - Ghazala Hayat
- Department of Neurology, Professor of Neurology, Saint Louis University, MO 63103, USA
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Fan Y, Zhang M, Liang X, Shen B, Xu Z, Li S, Hu T, Wu B, Zhao J, Sun Y, Liu F, Tang Y, Wang J. Determinants of quality of life in Parkinson's disease: a perspective of novel clinical subtypes. Ann Clin Transl Neurol 2021; 8:2174-2183. [PMID: 34716746 PMCID: PMC8607447 DOI: 10.1002/acn3.51475] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2021] [Revised: 10/14/2021] [Accepted: 10/15/2021] [Indexed: 11/09/2022] Open
Abstract
Objective New subtyping classification systems of Parkinson’s disease (PD) have been proposed for phenotyping patients into three different subtypes: mild motor‐predominant (PD‐MMP), intermediate (PD‐IM) and diffuse malignant (PD‐DM). The quality of life (QoL) underlying the novel PD clinical subtypes is unknown. This study aimed explore the feasibility of the classification in Chinese PD patients and to investigate the potential heterogeneous determinants of QoL among the three subtypes. Methods 298 PD patients were enrolled, including 129 PD‐MMP patients, 121 PD‐IM patients and 48 PD‐DM patients. All patients completed the QoL assessment, clinical evaluations and neuropsychological tests. Univariate linear analysis and multiple stepwise regression analysis were performed to identify determinants of QoL. Results Compared to PD‐MMP patients, PD‐IM and PD‐DM patients had more impaired QoL. The Geriatric Depression Rating Scale (GDS) score, Non‐Motor Symptoms Questionnaire (NMSQ) score, Unified Parkinson’s Disease Rating Scale part III (UPDRS‐III) score and Epworth Sleepiness Score (ESS) were independent contributors to QoL in PD‐MMP patients. The GDS score, ESS and sniffin’ sticks screening 12 test score were independent contributors to QoL in PD‐IM patients. The GDS score and Mini Mental State Examination score were independent contributors to QoL in PD‐DM patients. Interpretation The new novel subtyping classification is feasible for Chinese PD patients. Although depression was the most crucial determinant for QoL in PD‐MMP, PD‐IM and PD‐DM patients, the other contributors of QoL in the three subtypes were heterogeneous. These findings may prompt clinicians to target specific factors for improving QoL depending on PD subtypes.
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Affiliation(s)
- Yun Fan
- Department of Neurology and National Research Center for Aging and Medicine & National Center for Neurological Disorders, State Key Laboratory of Medical Neurobiology, Huashan Hospital, Fudan University, Shanghai, 200040, China
| | - Mengwei Zhang
- Department of Neurology and National Research Center for Aging and Medicine & National Center for Neurological Disorders, State Key Laboratory of Medical Neurobiology, Huashan Hospital, Fudan University, Shanghai, 200040, China
| | - Xiaoniu Liang
- Department of Neurology and National Research Center for Aging and Medicine & National Center for Neurological Disorders, State Key Laboratory of Medical Neurobiology, Huashan Hospital, Fudan University, Shanghai, 200040, China
| | - Bo Shen
- Department of Neurology and National Research Center for Aging and Medicine & National Center for Neurological Disorders, State Key Laboratory of Medical Neurobiology, Huashan Hospital, Fudan University, Shanghai, 200040, China
| | - Zhiheng Xu
- Department of Neurology and National Research Center for Aging and Medicine & National Center for Neurological Disorders, State Key Laboratory of Medical Neurobiology, Huashan Hospital, Fudan University, Shanghai, 200040, China
| | - Shiyu Li
- Department of Neurology and National Research Center for Aging and Medicine & National Center for Neurological Disorders, State Key Laboratory of Medical Neurobiology, Huashan Hospital, Fudan University, Shanghai, 200040, China
| | - Tianyu Hu
- Department of Neurology and National Research Center for Aging and Medicine & National Center for Neurological Disorders, State Key Laboratory of Medical Neurobiology, Huashan Hospital, Fudan University, Shanghai, 200040, China
| | - Bin Wu
- Department of Neurology and National Research Center for Aging and Medicine & National Center for Neurological Disorders, State Key Laboratory of Medical Neurobiology, Huashan Hospital, Fudan University, Shanghai, 200040, China
| | - Jue Zhao
- Department of Neurology and National Research Center for Aging and Medicine & National Center for Neurological Disorders, State Key Laboratory of Medical Neurobiology, Huashan Hospital, Fudan University, Shanghai, 200040, China
| | - Yimin Sun
- Department of Neurology and National Research Center for Aging and Medicine & National Center for Neurological Disorders, State Key Laboratory of Medical Neurobiology, Huashan Hospital, Fudan University, Shanghai, 200040, China
| | - Fengtao Liu
- Department of Neurology and National Research Center for Aging and Medicine & National Center for Neurological Disorders, State Key Laboratory of Medical Neurobiology, Huashan Hospital, Fudan University, Shanghai, 200040, China
| | - Yilin Tang
- Department of Neurology and National Research Center for Aging and Medicine & National Center for Neurological Disorders, State Key Laboratory of Medical Neurobiology, Huashan Hospital, Fudan University, Shanghai, 200040, China
| | - Jian Wang
- Department of Neurology and National Research Center for Aging and Medicine & National Center for Neurological Disorders, State Key Laboratory of Medical Neurobiology, Huashan Hospital, Fudan University, Shanghai, 200040, China
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Orayj K, Almeleebia T, Vigneshwaran E, Alshahrani S, Alavudeen SS, Alghamdi W. Trend of recognizing depression symptoms and antidepressants use in newly diagnosed Parkinson's disease: Population-based study. Brain Behav 2021; 11:e2228. [PMID: 34124851 PMCID: PMC8413829 DOI: 10.1002/brb3.2228] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/21/2021] [Revised: 04/12/2021] [Accepted: 05/19/2021] [Indexed: 12/26/2022] Open
Abstract
OBJECTIVES Although depression symptoms are common among patients with Parkinson's disease (PD), the medical literature still reports underrecognition of depression in patients with PD. Our main objective is to examine the trend of depression recognition during the first year of PD diagnosis using large population data. METHODS We conducted a population-based study of residents in Wales, using the Secure Anonymized Information Linkage (SAIL) Databank. We included newly diagnosed patients with PD aged 40 years or older with a first PD diagnosis between 2000 and 2015. Depression and antidepressants related data were extracted from SAIL. A series of multilevel logistic regressions were run to determine the factors affecting depression recognition. The results were presented using odds ratios (ORs) with 95% confidence intervals (CI). RESULTS The study included 6596 patients with PD. About 38% of patients had a recorded code of antidepressants, depression diagnosis, or both within the first year of PD diagnosis. There was a significant association of depression diagnosis, antidepressant use, or both with the year of PD diagnosis (OR 0.972, 95% CI 0.962-0.983). We also found that patients who used monoamine oxidase inhibitors (MAO-B inhibitors) were associated with a lower depression diagnosis, use antidepressants, or both, compared to those who did not use MAO-B inhibitors (OR 0.769, 95% CI 0.627-0.943). CONCLUSION There is a slight decrease in depression recognition in PD patients between 2000 and 2015, which could be due to an increase in depression recognition during the prodromal phase of PD.
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Affiliation(s)
- Khalid Orayj
- Department of Clinical Pharmacy, College of Pharmacy, King Khalid University, Abha, Saudi Arabia
| | - Tahani Almeleebia
- Department of Clinical Pharmacy, College of Pharmacy, King Khalid University, Abha, Saudi Arabia
| | - Easwaran Vigneshwaran
- Department of Clinical Pharmacy, College of Pharmacy, King Khalid University, Abha, Saudi Arabia
| | - Sultan Alshahrani
- Department of Clinical Pharmacy, College of Pharmacy, King Khalid University, Abha, Saudi Arabia
| | - Sirajudeen S Alavudeen
- Department of Clinical Pharmacy, College of Pharmacy, King Khalid University, Abha, Saudi Arabia
| | - Wael Alghamdi
- Department of Clinical Pharmacy, College of Pharmacy, King Khalid University, Abha, Saudi Arabia
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Khedr EM, Abdelrahman AA, Elserogy Y, Zaki AF, Gamea A. Depression and anxiety among patients with Parkinson’s disease: frequency, risk factors, and impact on quality of life. THE EGYPTIAN JOURNAL OF NEUROLOGY, PSYCHIATRY AND NEUROSURGERY 2020. [DOI: 10.1186/s41983-020-00253-5] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022] Open
Abstract
Abstract
Background
Depression and anxiety are non-motor symptoms of Parkinson’s disease (PD) that are often overlooked and underrated. This study aimed to highlight the frequency and risk factors of depression and anxiety among subjects with PD.
Methods
Sixty-four patients with PD who were diagnosed according to United Kingdom Parkinson’s Disease Society (UKPDS) Brain Bank Criteria and 50 sex- and age-matched healthy control subjects are evaluated for depression and anxiety. PD severity and staging were assessed using Unified Parkinson’s Disease Rating Scale (UPDRS) and Hoehn and Yahr scale. Depression and anxiety were diagnosed using DSM-IV TR criteria and scored using Hamilton Depression and Hamilton Anxiety Rating Scales (HAM-D and HAM-A). The World Health Organization Quality of Life (WHOQOL)-BREF was used to assess impact of depression and anxiety on quality of life.
Results
31.25% of patients with PD had depression while 40.6% of patients had anxiety disorder. Depression was higher in females and patients with history of depression and low socioeconomic status (SES). Anxiety was common in young patients and those who had history of anxiety. Overlap between depression and anxiety was recorded in 23.4%. Total UPDRS and Hoehn and Yahr scale accounted for 33.4% of variance for depression. Total UPDRS and earlier age of onset accounted for 39% of variance for anxiety. Advanced disease stage and severity were independent predictors for depression while disease severity and younger age of onset were the main predictors for anxiety. Depression and anxiety have a negative impact on the overall quality of life of PD patients especially on physical and psychosocial domains.
Conclusion
Depression and anxiety are relatively common in PD. Female gender, low SES, and history of depression were the main risk factors for developing depression. Young age and history of anxiety were risk factors for anxiety. Both had negative impact on quality of life.
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Chang YP, Lee MS, Wu DW, Tsai JH, Ho PS, Lin CHR, Chuang HY. Risk factors for depression in patients with Parkinson's disease: A nationwide nested case-control study. PLoS One 2020; 15:e0236443. [PMID: 32716954 PMCID: PMC7384643 DOI: 10.1371/journal.pone.0236443] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2020] [Accepted: 07/05/2020] [Indexed: 11/30/2022] Open
Abstract
Objectives Patients with Parkinson’s disease (PD) have higher prevalence of depression than the general population; however, the risk factors for depression in PD remain uncertain. Methods/Design Using the 2000–2010 Taiwan National Health Insurance Research Database, we selected 1767 patients aged ≧ 40 years with new-onset PD during 2000–2009. Among them, 324 patients with a new incidence of depression were enrolled as cases and 972 patients without depression were randomly selected as controls. The groups were frequency-matched at a ratio of 1:3 by age, sex, and index year. Thus, this nested case-control study compared differences between the cases and the controls. Logistic regression models were used to identify risk factors for depression in PD. Results Compared with the controls, the odds ratio (OR) of anxiety disorders in the cases was 1.53 (95% confidence interval [95% CI], 1.16–2.02; P = 0.003), after adjusting for the confounding factors of age, sex, index year, geographic region, urban level, monthly income, and other coexisting medical conditions. The OR for sleep disturbances in the cases was 1.49 (95% CI, 1.14–1.96; P = 0.004) compared to the controls, after adjusting these confounding factors. Hence, the risk factors for depression in PD were nonsignificantly associated with physical comorbidities. Conclusions In the present study, depression in PD was significantly associated with anxiety disorders and sleep disturbances. Integrated care for early identification and treatment of neuropsychiatric comorbidities is crucial in patients with new-onset PD so as to prevent further PD degeneration.
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Affiliation(s)
- Yang-Pei Chang
- Department of Neurology, Kaohsiung Municipal Ta-Tung Hospital, Kaohsiung Medical University, Kaohsiung, Taiwan
| | - Min-Sheng Lee
- Department of Pediatrics, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung, Taiwan
| | - Da-Wei Wu
- Department of Internal Medicine, Kaohsiung Municipal Siaogang Hospital, Kaohsiung Medical University, Kaohsiung, Taiwan
- Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung, Taiwan
| | - Jui-Hsiu Tsai
- Department of Psychiatry, Dalin Tzu Chi Hospital, Buddhist Tzu Chi Medical Foundation, Chia-Yi, Taiwan
- Program in Environmental and Occupation Medicine, (Taiwan) National Health Research Institutes and Kaohsiung Medical University, Kaohsiung, Taiwan
- * E-mail: (JHT); (PSH); (CHRL)
| | - Pei-Shan Ho
- Department of Oral Hygiene, College of Dental Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan
- Division of Medical Statistics and Bioinformatics, Department of Medical Research, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung, Taiwan
- * E-mail: (JHT); (PSH); (CHRL)
| | - Chun-Hung Richard Lin
- Department of Computer Science and Engineering, National Sun Yat-sen University, Kaohsiung, Taiwan
- * E-mail: (JHT); (PSH); (CHRL)
| | - Hung-Yi Chuang
- Program in Environmental and Occupation Medicine, (Taiwan) National Health Research Institutes and Kaohsiung Medical University, Kaohsiung, Taiwan
- Department of Occupational Medicine, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung, Taiwan
- Department of Public Health, Kaohsiung Medical University, Kaohsiung, Taiwan
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Lin H, Cai X, Zhang D, Liu J, Na P, Li W. Functional connectivity markers of depression in advanced Parkinson's disease. NEUROIMAGE-CLINICAL 2019; 25:102130. [PMID: 31869768 PMCID: PMC6931212 DOI: 10.1016/j.nicl.2019.102130] [Citation(s) in RCA: 21] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/16/2019] [Revised: 11/23/2019] [Accepted: 12/13/2019] [Indexed: 11/18/2022]
Abstract
Patient-specific 42-ICNs template was created from 156 PD patients’ rs-fMRI data. 6 FC markers significantly contributed to depression discrimination in PD. Classifiers achieved the mean accuracy of 82.4% for depression diagnosis in PD.
Background Depression is a common comorbid condition in Parkinson's disease and a major contributor to poor quality of life. Despite this, depression in PD is under-diagnosed due to overlapping symptoms and difficulties in the assessment of depression in cognitively impaired old patients. Objectives This study is to explore functional connectivity markers of depression in PD patients using resting-state fMRI and help diagnose whether patients have depression or not. Methods We reviewed 156 advanced PD patients (duration > 5 years; 59 depressed ones) and 45 healthy control subjects who underwent a resting-state fMRI scanning. Functional connectivity analysis was employed to characterize intrinsic connectivity networks using group independent component analysis and extract connectivity features. Features were put into an all-relevant feature selection procedure within cross-validation loops, to identify features with significant discriminative power for classification. Random forest classifiers were built for depression diagnosis, on the basis of identified features. Results 42 intrinsic connectivity networks were identified and arranged into subcortical, auditory, somatomotor, visual, cognitive control, default-mode and cerebellar networks. Six features were significantly relevant to classification. They were connectivity within posterior cingulate cortex, within insula, between posterior cingulate cortex and insula/hippocampus+amygdala, between insula and precuneus, and between superior parietal lobule and medial prefrontal cortex. The mean accuracy achieved with classifiers to discriminate depressed patients from the non-depressed was 82.4%. Conclusions Our findings provide preliminary evidence that resting-state functional connectivity can characterize depressed PD patients and help distinguish them from non-depressed ones.
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Affiliation(s)
- Hai Lin
- Department of Functional Neurosurgery, Shenzhen Second People's Hospital, The First Affiliated Hospital of Shenzhen University, Shenzhen, Guangdong, China; Brain Centre, Shenzhen Key Laboratory of Neurosurgery, Shenzhen Second People's Hospital, The First Affiliated Hospital of Shenzhen University, Shenzhen, Guangdong, China; School of Medicine, Shenzhen University, Shenzhen, Guangdong, China
| | - Xiaodong Cai
- Department of Functional Neurosurgery, Shenzhen Second People's Hospital, The First Affiliated Hospital of Shenzhen University, Shenzhen, Guangdong, China; School of Medicine, Shenzhen University, Shenzhen, Guangdong, China
| | - Doudou Zhang
- Department of Functional Neurosurgery, Shenzhen Second People's Hospital, The First Affiliated Hospital of Shenzhen University, Shenzhen, Guangdong, China; School of Medicine, Shenzhen University, Shenzhen, Guangdong, China
| | - Jiali Liu
- Department of Functional Neurosurgery, Shenzhen Second People's Hospital, The First Affiliated Hospital of Shenzhen University, Shenzhen, Guangdong, China; School of Medicine, Shenzhen University, Shenzhen, Guangdong, China
| | - Peng Na
- Department of Functional Neurosurgery, Shenzhen Second People's Hospital, The First Affiliated Hospital of Shenzhen University, Shenzhen, Guangdong, China; Brain Centre, Shenzhen Key Laboratory of Neurosurgery, Shenzhen Second People's Hospital, The First Affiliated Hospital of Shenzhen University, Shenzhen, Guangdong, China; School of Medicine, Shenzhen University, Shenzhen, Guangdong, China
| | - Weiping Li
- Brain Centre, Shenzhen Key Laboratory of Neurosurgery, Shenzhen Second People's Hospital, The First Affiliated Hospital of Shenzhen University, Shenzhen, Guangdong, China; School of Medicine, Shenzhen University, Shenzhen, Guangdong, China.
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11
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Milyukhina IV. Pathogenesis, clinical features, and treatments of depression in Parkinson's disease. NEUROLOGY, NEUROPSYCHIATRY, PSYCHOSOMATICS 2019. [DOI: 10.14412/2074-2711-2019-2-93-99] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
Abstract
Depression is the most common non-motor manifestation of Parkinson's disease (PD), which significantly affects the rate of disease progression and increases the risk of motor complications and dementia. The paper considers the etiology and pathogenesis, cause-and-effect factors of depression in PD, and features of its diagnosis and treatment. Attention is paid to the algorithm for a physician's actions in the detection of depressive disorder in a patient with PD, to the choice of an antidepressant, and to the promising areas of therapy.
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Affiliation(s)
- I. V. Milyukhina
- Institute of Experimental Medicine;
Acad. I.P. Pavlov First Saint Petersburg State Medical University, Ministry of Health of Russia
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12
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Prell T, Witte OW, Grosskreutz J. Biomarkers for Dementia, Fatigue, and Depression in Parkinson's Disease. Front Neurol 2019; 10:195. [PMID: 30906277 PMCID: PMC6418014 DOI: 10.3389/fneur.2019.00195] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2018] [Accepted: 02/15/2019] [Indexed: 12/26/2022] Open
Abstract
Parkinson's disease is a common multisystem neurodegenerative disorder characterized by typical motor and non-motor symptoms. There is an urgent need for biomarkers for assessment of disease severity, complications and prognosis. In addition, biomarkers reporting the underlying pathophysiology assist in understanding the disease and developing neuroprotective therapies. Ultimately, biomarkers could be used to develop a more efficient personalized approach for clinical trials and treatment strategies. With the goal to improve quality of life in Parkinson's disease it is essential to understand and objectively monitor non-motor symptoms. This narrative review provides an overview of recent developments of biomarkers (biofluid samples and imaging) for three common neuropsychological syndromes in Parkinson's disease: dementia, fatigue, and depression.
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Affiliation(s)
- Tino Prell
- Department of Neurology, Jena University Hospital, Jena, Germany.,Center for Healthy Ageing, Jena University Hospital, Jena, Germany
| | - Otto W Witte
- Department of Neurology, Jena University Hospital, Jena, Germany.,Center for Healthy Ageing, Jena University Hospital, Jena, Germany
| | - Julian Grosskreutz
- Department of Neurology, Jena University Hospital, Jena, Germany.,Center for Healthy Ageing, Jena University Hospital, Jena, Germany
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13
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Marinus J, Zhu K, Marras C, Aarsland D, van Hilten JJ. Risk factors for non-motor symptoms in Parkinson's disease. Lancet Neurol 2018; 17:559-568. [DOI: 10.1016/s1474-4422(18)30127-3] [Citation(s) in RCA: 134] [Impact Index Per Article: 22.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2018] [Revised: 03/21/2018] [Accepted: 03/26/2018] [Indexed: 12/29/2022]
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14
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Lian TH, Guo P, Zuo LJ, Hu Y, Yu SY, Liu L, Jin Z, Yu QJ, Wang RD, Li LX, Piao YS, Zhang W. An Investigation on the Clinical Features and Neurochemical Changes in Parkinson's Disease With Depression. Front Psychiatry 2018; 9:723. [PMID: 30713507 PMCID: PMC6346625 DOI: 10.3389/fpsyt.2018.00723] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/04/2018] [Accepted: 12/07/2018] [Indexed: 12/14/2022] Open
Abstract
Objective: To investigate the clinical features and neurochemical changes in Parkinson's disease with depression (PD-D). Methods: A total of 478 PD patients were divided into PD-D and PD patients without depression (PD-ND) groups according to the 24-item Hamilton Depression Rating Scale (HAMD) score. Demographic variables, motor and non-motor symptoms and activities of daily living were evaluated. The independent influencing factors of PD-D were investigated via binary logistic regression analysis. The levels of neurotransmitters in cerebrospinal fluid (CSF) were measured and their correlations with HAMD score were analyzed. Results: The proportion of PD-D was 59.0%, of which 76.95, 20.92, and 2.13% had mild, moderate, and severe depression, respectively. Anxiety/somatization was the most prevalent sub-factor of HAMD in PD-D. The scores of UPDRS III, postural instability/gait difficulty (PIGD) type and the scores of 14-item Hamilton Anxiety Scale (HAMA) and 14-item Chalder Fatigue Scale (FS) were independently associated with PD-D. The levels of dopamine (DA) and 5-hydroxytryptamine (5-HT) were all significantly reduced in PD-D group compared with those in PD-ND group. HAMD scores were negatively correlated with the DA levels in CSF. Conclusions: PD patients have a high proportion of depression, mainly of mild and moderate levels. The profile of depression in PD population is subtly different from that of the general population. Motor symptoms, PIGD type, anxiety and fatigue are the significant influencing factors of PD-D. Compared to 5-HT, DA may play a more important role in PD-D.
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Affiliation(s)
- Teng-Hong Lian
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Peng Guo
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Li-Jun Zuo
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Yang Hu
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Shu-Yang Yu
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Li Liu
- Department of Internal Medicine, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Zhao Jin
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Qiu-Jin Yu
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Rui-Dan Wang
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Li-Xia Li
- Department of Internal Medicine, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Ying-Shan Piao
- Center for Movement Disorder, Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Wei Zhang
- Center for Cognitive Neurology, Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.,China National Clinical Research Center for Neurological Diseases, Beijing, China.,Key Laboratory for Neurodegenerative Disorders of the Ministry of Education, Capital Medical University, Beijing, China.,Center of Parkinson's Disease, Beijing Institute for Brain Disorders, Beijing, China.,Beijing Key Laboratory on Parkinson's Disease, Beijing, China
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15
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Zhu J, Lu L, Pan Y, Shen B, Xu S, Hou Y, Zhang X, Zhang L. Depression and associated factors in nondemented Chinese patients with Parkinson’s disease. Clin Neurol Neurosurg 2017; 163:142-148. [DOI: 10.1016/j.clineuro.2017.10.031] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2015] [Revised: 07/24/2017] [Accepted: 10/28/2017] [Indexed: 01/01/2023]
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16
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Cui SS, Du JJ, Fu R, Lin YQ, Huang P, He YC, Gao C, Wang HL, Chen SD. Prevalence and risk factors for depression and anxiety in Chinese patients with Parkinson disease. BMC Geriatr 2017; 17:270. [PMID: 29166864 PMCID: PMC5700465 DOI: 10.1186/s12877-017-0666-2] [Citation(s) in RCA: 46] [Impact Index Per Article: 6.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2017] [Accepted: 11/14/2017] [Indexed: 12/11/2022] Open
Abstract
BACKGROUND Anxiety and depression are common in Parkinson disease and both are important determinants of quality of life in patients. Several risk factors are identified but few research have investigated general and Parkinson's disease (PD)-specific factors comprehensively. The aim of this work was to explore PD-specific and -non-specific risk factors for PD with depression or anxiety. METHODS A cross-sectional survey was performed in 403 patients with PD. Multivariate logistic analysis was used to investigate the prevalence and risk factors for the depression and anxiety in PD. The data of patients included demographic information, medicine history, disease duration, age at onset (AAO), family history, anti-parkinsonism drug, modified Hoehn and Yahr staging (H-Y) stage, scales of motor and non-motor symptoms and substantia nigra (SN) echogenic areas. RESULTS 403 PD patients were recruited in the study. Depression and anxiety were present in 11.17% and 25.81% respectively. Marital status, tumor, higher Movement Disorder Society-sponsored revision of the Unified Parkinson's Disease Rating Scale (MDS-UPDRS) II score, dyskinesia, higher Hamilton Anxiety Rating Scale (HARS) score and lower the Parkinson's disease sleep scale (PDSS) score were associated with depression in PD. female gender, higher rapid eye movement behavior disorder Questionnaire-Hong Kong (RBD-HK) score, higher Hamilton Deprssion Rating Scale (HAMD) score, higher the scale for outcomes in PD for autonomic symptoms (SCOPA-AUT)score and larger SN echogenic areas were associated with anxiety. Neither depression nor anxiety was related to any anti-parkinsonism drugs. CONCLUSIONS The prevalence of depression and anxiety in the current PD patients was 11.17% and 25.81% respectively. Disease of tumor, currently having no partner, severer motor function, dyskinesia, poorer sleep quality and anxiety were risk factors for PD with depression. Female, depression, rapid eye movement behavior disorder (RBD), autonomic dysfunction and larger SN area were risk factors for PD with anxiety.
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Affiliation(s)
- Shi-Shuang Cui
- Department of Neurology & Co-innovation Center of Neuroregeneration, Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, 197 RuijinEr Road, Shanghai, 200025 People’s Republic of China
| | - Juan-Juan Du
- Department of Neurology & Co-innovation Center of Neuroregeneration, Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, 197 RuijinEr Road, Shanghai, 200025 People’s Republic of China
| | - Rao Fu
- Department of Neurology & Co-innovation Center of Neuroregeneration, Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, 197 RuijinEr Road, Shanghai, 200025 People’s Republic of China
| | - Yi-Qi Lin
- Department of Neurology & Co-innovation Center of Neuroregeneration, Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, 197 RuijinEr Road, Shanghai, 200025 People’s Republic of China
| | - Pei Huang
- Department of Neurology & Co-innovation Center of Neuroregeneration, Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, 197 RuijinEr Road, Shanghai, 200025 People’s Republic of China
| | - Ya-Chao He
- Department of Neurology & Co-innovation Center of Neuroregeneration, Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, 197 RuijinEr Road, Shanghai, 200025 People’s Republic of China
| | - Chao Gao
- Department of Neurology & Co-innovation Center of Neuroregeneration, Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, 197 RuijinEr Road, Shanghai, 200025 People’s Republic of China
| | - Hua-Long Wang
- Department of Neurology & Co-innovation Center of Neuroregeneration, Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, 197 RuijinEr Road, Shanghai, 200025 People’s Republic of China
| | - Sheng-Di Chen
- Department of Neurology & Co-innovation Center of Neuroregeneration, Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, 197 RuijinEr Road, Shanghai, 200025 People’s Republic of China
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17
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Kang SY, Ryu HS, Sunwoo MK, Kim SJ, Baik JS, Park MY, Park HE, Kim JS, Kwon KY, Koh SB, Kim YE, Lee MK, Kim JM, Chung SJ, Sohn YH. Sleepiness and Depression in Parkinson's Disease Patients Treated with Ropinirole and Levodopa. J Mov Disord 2017; 10:123-129. [PMID: 28950686 PMCID: PMC5615177 DOI: 10.14802/jmd.17048] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2017] [Revised: 08/18/2017] [Accepted: 08/25/2017] [Indexed: 12/21/2022] Open
Abstract
Objective
We aimed to investigate the effect of ropinirole on excessive daytime sleepiness (EDS) and depression in Parkinson’s disease (PD) with a large population. Methods
We conducted a cross-sectional observational study at nine hospitals in Korea between April 24, 2013, and April 22, 2015. We analyzed the demographic and clinical features, other medical history, history of antiparkinsonian medication within 6 months, Hoehn and Yahr stage (HY stage), Unified Parkinson’s Disease Rating Scale (UPDRS) part II and III, Epworth Sleepiness Scale (ESS), and 30-item Geriatric Depression Scale (GDS-30). Results
Four-hundred-thirteen patients with PD (mean age: 65.2 ± 9.0 years; men: 227 patients) were analyzed. Multivariate logistic regression analysis showed that age at examination, UPDRS II, and GDS-30 were independent risk factors for EDS and that sex, UPDRS II, and ESS were independent risk factors for depression. Conclusion
Our large group study did not find any significant associations of ropinirole with EDS and depression in Korean PD patients.
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Affiliation(s)
- Suk Yun Kang
- Department of Neurology, Dongtan Sacred Heart Hospital, Hallym University College of Medicine, Hwaseong, Korea
| | - Ho-Sung Ryu
- Department of Neurology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea
| | - Mun-Kyung Sunwoo
- Department of Neurology, Bundang Jesaeng General Hospital, Seongnam, Korea
| | - Sang-Jin Kim
- Department of Neurology, Inje University College of Medicine, Busan, Korea
| | - Jong-Sam Baik
- Department of Neurology, Sanggye Paik Hospital, Inje University College of Medicine, Seoul, Korea
| | - Mee-Young Park
- Department of Neurology, Yeungnam University Medical Center, Daegu, Korea
| | - Hyung-Eun Park
- Department of Neurology Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea
| | - Joong-Seok Kim
- Department of Neurology Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea
| | - Kyum-Yil Kwon
- Department of Neurology, Soonchunhyang University Seoul Hospital, Soonchunhyang University School of Medicine, Seoul, Korea
| | - Seong-Beom Koh
- Department of Neurology, Korea University College of Medicine, Korea University Guro Hospital, Seoul, Korea
| | - Young-Eun Kim
- Department of Neurology, Hallym University Sacred Heart Hospital, Hallym University College of Medicine, Anyang, Korea
| | - Mi-Kyong Lee
- Department of Neurology, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam, Korea
| | - Jong-Min Kim
- Department of Neurology, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam, Korea
| | - Sun Ju Chung
- Department of Neurology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea
| | - Young-Ho Sohn
- Department of Neurology, Yonsei University College of Medicine, Seoul, Korea
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18
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Vianna ÉG, Rodrigues EDC, Horsczaruk CHR, Martins JVP, Lemos T, de Oliveira LAS. Feasibility and safety of group exercises for individuals with Parkinson's disease: A case series. INTERNATIONAL JOURNAL OF THERAPY AND REHABILITATION 2017. [DOI: 10.12968/ijtr.2017.24.5.223] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Affiliation(s)
- Érica Guimarães Vianna
- Post-Graduation Program in Rehabilitation Sciences, Augusto Motta University Center, Rio de Janeiro, Brazil
| | - Erika de Carvalho Rodrigues
- Post-Graduation Program in Rehabilitation Sciences, Augusto Motta University Center, Rio de Janeiro, Brazil; D'Or Institute for Research and Education, Rio de Janeiro, Brazil
| | | | | | - Thiago Lemos
- Post-Graduation Program in Rehabilitation Sciences, Augusto Motta University Center, Rio de Janeiro, Brazil
| | - Laura Alice Santos de Oliveira
- Post-Graduation Program in Rehabilitation Sciences, Augusto Motta University Center, Rio de Janeiro, Brazil; School of Physiotherapy, Federal Institute of Rio de Janeiro, Rio de Janeiro, Brazil
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19
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Dan X, Wang C, Zhang J, Gu Z, Zhou Y, Ma J, Chan P. Association between common genetic risk variants and depression in Parkinson's disease: A dPD study in Chinese. Parkinsonism Relat Disord 2016; 33:122-126. [DOI: 10.1016/j.parkreldis.2016.09.029] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/14/2016] [Revised: 08/29/2016] [Accepted: 09/28/2016] [Indexed: 01/18/2023]
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20
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Swan M, Doan N, Ortega RA, Barrett M, Nichols W, Ozelius L, Soto-Valencia J, Boschung S, Deik A, Sarva H, Cabassa J, Johannes B, Raymond D, Marder K, Giladi N, Miravite J, Severt W, Sachdev R, Shanker V, Bressman S, Saunders-Pullman R. Neuropsychiatric characteristics of GBA-associated Parkinson disease. J Neurol Sci 2016; 370:63-69. [PMID: 27772789 PMCID: PMC5268078 DOI: 10.1016/j.jns.2016.08.059] [Citation(s) in RCA: 37] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2016] [Revised: 08/22/2016] [Accepted: 08/29/2016] [Indexed: 12/29/2022]
Abstract
Mutations in GBA1 are a well-established risk factor for Parkinson disease (PD). GBA-associated PD (GBA-PD) may have a higher burden of nonmotor symptoms than idiopathic PD (IPD). We sought to characterize the relationship between GBA-PD and neuropsychiatric symptoms. Subjects were screened for common GBA1 mutations. GBA-PD (n=31) and non-carrier (IPD; n=55) scores were compared on the Unified Parkinson Disease Rating Scale (UPDRS), Montreal Cognitive Assessment (MoCA), Beck Depression Inventory (BDI), and the State-Trait Anxiety Index (STAI). In univariate comparisons, GBA-PD had a greater prevalence of depression (33.3%) versus IPD (13.2%) (p<0.05). In regression models controlling for age, sex, disease duration, motor disability, and MoCA score, GBA-PD had an increased odds of depression (OR 3.66, 95% CI 1.13-11.8) (p=0.03). Post-hoc analysis stratified by sex showed that, among men, GBA-PD had a higher burden of trait anxiety and depression than IPD; this finding was sustained in multivariate models. Among women, GBA-PD did not confer greater psychiatric morbidity than IPD. These results suggest that GBA1 mutations confer greater risk of neuropsychiatric morbidity in PD, and that sex may affect this association.
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Affiliation(s)
- Matthew Swan
- Department of Neurology, Mount Sinai Beth Israel, and Department of Neurology, Icahn School of Medicine, Mount Sinai, New York, NY, USA; Department of Neurology, Albert Einstein College of Medicine, Montefiore Medical Center, Bronx, NY, USA.
| | - Nancy Doan
- Department of Neurology, Mount Sinai Beth Israel, and Department of Neurology, Icahn School of Medicine, Mount Sinai, New York, NY, USA
| | - Robert A Ortega
- Department of Neurology, Mount Sinai Beth Israel, and Department of Neurology, Icahn School of Medicine, Mount Sinai, New York, NY, USA
| | - Matthew Barrett
- Department of Neurology, University of Virginia Health System, Charlottesville, VA, USA.
| | - William Nichols
- Division of Human Genetics, Cincinnati Children's Hospital Medical Center, and Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH, USA.
| | - Laurie Ozelius
- Department of Neurology, Massachusetts General Hospital, Boston, MA, USA.
| | - Jeannie Soto-Valencia
- Department of Neurology, Mount Sinai Beth Israel, and Department of Neurology, Icahn School of Medicine, Mount Sinai, New York, NY, USA
| | - Sarah Boschung
- Department of Neurology, Mount Sinai Beth Israel, and Department of Neurology, Icahn School of Medicine, Mount Sinai, New York, NY, USA
| | - Andres Deik
- Department of Neurology, Mount Sinai Beth Israel, and Department of Neurology, Icahn School of Medicine, Mount Sinai, New York, NY, USA.
| | - Harini Sarva
- Department of Neurology, Mount Sinai Beth Israel, and Department of Neurology, Icahn School of Medicine, Mount Sinai, New York, NY, USA.
| | - Jose Cabassa
- Department of Neurology, Mount Sinai Beth Israel, and Department of Neurology, Icahn School of Medicine, Mount Sinai, New York, NY, USA.
| | - Brooke Johannes
- Department of Neurology, Mount Sinai Beth Israel, and Department of Neurology, Icahn School of Medicine, Mount Sinai, New York, NY, USA
| | - Deborah Raymond
- Department of Neurology, Mount Sinai Beth Israel, and Department of Neurology, Icahn School of Medicine, Mount Sinai, New York, NY, USA
| | - Karen Marder
- Department of Neurology and Psychiatry, Taub Institute, and Sergievsky Center, Columbia University, College of Physicians and Surgeons, New York, NY, USA.
| | - Nir Giladi
- Movement Disorders Unit, Neurological Institute, Tel Aviv Medical Center, Sackler School of Medicine, Sagol School of Neuroscience, Tel-Aviv University, Tel Aviv, Israel.
| | - Joan Miravite
- Department of Neurology, Mount Sinai Beth Israel, and Department of Neurology, Icahn School of Medicine, Mount Sinai, New York, NY, USA
| | - William Severt
- Department of Neurology, Mount Sinai Beth Israel, and Department of Neurology, Icahn School of Medicine, Mount Sinai, New York, NY, USA
| | - Rivka Sachdev
- Department of Neurology, Mount Sinai Beth Israel, and Department of Neurology, Icahn School of Medicine, Mount Sinai, New York, NY, USA
| | - Vicki Shanker
- Department of Neurology, Mount Sinai Beth Israel, and Department of Neurology, Icahn School of Medicine, Mount Sinai, New York, NY, USA
| | - Susan Bressman
- Department of Neurology, Mount Sinai Beth Israel, and Department of Neurology, Icahn School of Medicine, Mount Sinai, New York, NY, USA
| | - Rachel Saunders-Pullman
- Department of Neurology, Mount Sinai Beth Israel, and Department of Neurology, Icahn School of Medicine, Mount Sinai, New York, NY, USA.
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Zhu K, van Hilten JJ, Marinus J. Associated and predictive factors of depressive symptoms in patients with Parkinson's disease. J Neurol 2016; 263:1215-25. [PMID: 27126456 PMCID: PMC4893359 DOI: 10.1007/s00415-016-8130-3] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2016] [Revised: 04/08/2016] [Accepted: 04/10/2016] [Indexed: 11/04/2022]
Abstract
Depression is one of the most common non-motor symptoms in Parkinson's disease (PD). A thorough understanding of factors associated with depressive symptomatology may facilitate early detection and guide future intervention strategies. The objective of the study was to determine associated and predictive factors of depression in patients with PD. Analyses were performed in data of the SCOPA-PROPARK cohort, a 5-year hospital-based longitudinal cohort of over 400 PD patients who have been examined annually. Linear mixed models using data of all patients were used to identify factors associated with longitudinal changes in Beck Depression Inventory (BDI) scores. A survival analysis using data of patients without depression at baseline was performed to identify risk factors for future depression (i.e. BDI ≥ 15). The proportion of patients with depression was approximately 20 % and remained stable during follow-up, with approximately half of cases showing a persistent course. Female gender, more severe disability, more severe motor fluctuations, autonomic and cognitive dysfunction, poorer nighttime sleep and daytime sleepiness were independently associated with higher BDI scores over time. Higher baseline BDI score, daytime sleepiness and a higher levodopa dosage were risk factors for future depression. Depression is common in PD, where it may follow a persistent or non-persistent course. Apart from motor fluctuations and levodopa dose, depressive symptoms in PD are mainly associated with factors of non-dopaminergic origin. This suggests that depression in PD is an inherent consequence of the progressive pathobiology of the disease, which may render its treatment with currently available treatment options difficult.
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Affiliation(s)
- Kangdi Zhu
- Department of Neurology (K5Q-92), Leiden University Medical Center, P.O. Box 9600, 2300 RC, Leiden, The Netherlands.
| | - Jacobus J van Hilten
- Department of Neurology (K5Q-92), Leiden University Medical Center, P.O. Box 9600, 2300 RC, Leiden, The Netherlands
| | - Johan Marinus
- Department of Neurology (K5Q-92), Leiden University Medical Center, P.O. Box 9600, 2300 RC, Leiden, The Netherlands
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Buoli M, Caldiroli A, Altamura AC. Psychiatric Conditions in Parkinson Disease: A Comparison With Classical Psychiatric Disorders. J Geriatr Psychiatry Neurol 2016; 29:72-91. [PMID: 26377851 DOI: 10.1177/0891988715606233] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
Psychiatric conditions often complicate the outcome of patients affected by Parkinson disease (PD), but they differ from classical psychiatric disorders in terms of underlying biological mechanisms, clinical presentation, and treatment response. The purpose of the present review is to illustrate the biological and clinical aspects of psychiatric conditions associated with PD, with particular reference to the differences with respect to classical psychiatric disorders. A careful search of articles on main databases was performed in order to obtain a comprehensive review about the main psychiatric conditions associated with PD. A manual selection of the articles was then performed in order to consider only those articles that concerned with the topic of the review. Psychiatric conditions in patients with PD present substantial differences with respect to classical psychiatric disorders. Their clinical presentation does not align with the symptom profiles represented by Diagnostic and Statistical Manual for Mental Disorders and International Classification of Diseases. Furthermore, psychiatry treatment guidelines are of poor help in managing psychiatric symptoms of patients with PD. Specific diagnostic tools and treatment guidelines are needed to allow early diagnosis and adequate treatment of psychiatric conditions in comorbidity with PD.
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Affiliation(s)
- Massimiliano Buoli
- Department of Psychiatry, University of Milan, Fondazione IRCCS Ca'Granda Ospedale Maggiore Policlinico, Milan, Italy
| | - Alice Caldiroli
- Department of Psychiatry, University of Milan, Fondazione IRCCS Ca'Granda Ospedale Maggiore Policlinico, Milan, Italy
| | - Alfredo Carlo Altamura
- Department of Psychiatry, University of Milan, Fondazione IRCCS Ca'Granda Ospedale Maggiore Policlinico, Milan, Italy
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Shakeri J, Chaghazardi M, Abdoli N, Arman F, Hoseini SD, Shakeri H. Disease-Related Variables and Depression Among Iranian Patients with Parkinson Disease. IRANIAN RED CRESCENT MEDICAL JOURNAL 2015; 17:e30246. [PMID: 26568863 PMCID: PMC4636748 DOI: 10.5812/ircmj.30246] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 05/25/2015] [Revised: 06/20/2015] [Accepted: 07/22/2015] [Indexed: 12/11/2022]
Abstract
BACKGROUND The factors affecting the correlation between Parkinson disease (PD) and depression have remained unclear. OBJECTIVES We assessed the prevalence of depression among patients with PD and the association between PD-related variables and depression severity. PATIENTS AND METHODS This is a cross-sectional study performed in Kermanshah Province of Iran. Sampling was based on recruitment of subjects according to inclusion and exclusion criteria. Patients with confirmed Parkinson disease who were referred to clinics of Kermanshah University of Medical Sciences participated in this study. Depression was evaluated with Beck Depression Inventory-II (BDI-II). Clinical characteristics of PD, including tremor, rigidity, impaired posture, loss of autonomic movement, changes in speech and handwriting, masked face, and hyposmia were indexed. Anhedonia was assessed with Farsi version of Snaith-Hamilton Pleasure Scale. Data were collected between April 2010 and March 2014. RESULTS A total of 350 patients (52.9% men and 47.1% women) participated in this investigation. Female gender (36.5% in women vs. 13.0% in men, P < 0.0001), impaired posture (27.2% in affected individuals vs. 18.8%, P = 0.002), masked face (39.0% vs. 5.2%, P < 0.0001), and hyposmia (48.7% vs. 21.0%, P = 0.001) were associated with higher susceptibility to profound depression. Lower scores of all domains of Farsi version of Snaith-Hamilton Pleasure Scale (including interest/pastimes, social interaction, sensory experience, and food/drink) were related to more severe depression (P < 0.0001 for all subscales). Severe and profound depression was found in 44% of the participants. CONCLUSIONS This study estimated that the prevalence of major depression among Iranian individuals with PD living in Kermanshah as 44%. Major determinants of depression were female gender, rigidity, impaired posture, masked face, hyposmia, and anhedonia.
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Affiliation(s)
- Jalal Shakeri
- Psychiatry Department, Farabi Hospital, Kermanshah University of Medical Sciences, Kermanshah, IR Iran
| | - Maryam Chaghazardi
- Psychiatry Department, Farabi Hospital, Kermanshah University of Medical Sciences, Kermanshah, IR Iran
| | - Nasrin Abdoli
- Psychiatry Department, Farabi Hospital, Kermanshah University of Medical Sciences, Kermanshah, IR Iran
| | - Farid Arman
- Psychiatry Department, Farabi Hospital, Kermanshah University of Medical Sciences, Kermanshah, IR Iran
| | - Seyed Davood Hoseini
- Psychiatry Department, Farabi Hospital, Kermanshah University of Medical Sciences, Kermanshah, IR Iran
| | - Hania Shakeri
- Psychiatry Department, Farabi Hospital, Kermanshah University of Medical Sciences, Kermanshah, IR Iran
- Corresponding Author: Hania Shakeri, Psychiatry Department, Farabi Hospital, Kermanshah University of Medical Sciences, Kermanshah, IR Iran. Tel: +98-8314274618, Fax: +98-8318264163, E-mail:
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Hsu YT, Liao CC, Chang SN, Yang YW, Tsai CH, Chen TL, Sung FC. Increased Risk of Depression in Patients with Parkinson Disease: A Nationwide Cohort Study. Am J Geriatr Psychiatry 2015; 23:934-40. [PMID: 25529799 DOI: 10.1016/j.jagp.2014.10.011] [Citation(s) in RCA: 30] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/24/2014] [Revised: 10/20/2014] [Accepted: 10/30/2014] [Indexed: 11/24/2022]
Abstract
OBJECTIVE The association between Parkinson disease (PD) and depression remains unclear, particularly in the Asian population. The purpose of this study is to investigate the risk of depression in patients with PD using population-based data. METHODS Based on the National Health Insurance Research Database of Taiwan, we identified 1,698 patients with PD aged 40 years or older diagnosed in 2000-2003. With frequency matching procedure, we randomly selected 6,792 subjects without PD stratified by sex and age. Both cohorts were followed until the end of 2008 or diagnosis of depression. Risk of depression associated with PD was estimated in the multivariate Cox hazards regressions. Diabetes, hypertension, and hyperlipidemia were more prevalent at baseline in patients with PD. RESULTS Compared with the cohort without PD, the hazard ratio (HR) for depression in PD patients was 4.06 (95% CI: 3.15-5.23), which increased to 4.26 (95% CI: 3.29-5.51) after adjustment for age, sex, urbanization, income, and coexisting medical conditions. In the sex stratification, the HR of depression for men with PD was 4.42 (95% CI: 2.93-6.67) compared with men without PD. The HR for the association between PD and depression in women was 4.22 (95% CI: 3.02-5.88). CONCLUSION This study suggests that patients with PD are at an elevated risk of depression, particularly for men. Integrated care for early identification and treatment of depression are crucial for patients with PD.
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Affiliation(s)
- Yi-Ting Hsu
- Neuroscience Laboratory, Department of Neurology, China Medical University Hospital, Taichung, Taiwan; School of Medicine, China Medical University, Taichung, Taiwan
| | - Chien-Chang Liao
- Management Office for Health Data, China Medical University Hospital, Taichung, Taiwan; School of Chinese Medicine, China Medical University, Taichung, Taiwan; Department of Anesthesiology, Taipei Medical University Hospital, Taipei, Taiwan; School of Medicine, Taipei Medical University, Taipei, Taiwan
| | - Shih-Ni Chang
- Management Office for Health Data, China Medical University Hospital, Taichung, Taiwan
| | - Yu-Wan Yang
- Neuroscience Laboratory, Department of Neurology, China Medical University Hospital, Taichung, Taiwan; School of Medicine, China Medical University, Taichung, Taiwan
| | - Chon-Haw Tsai
- Neuroscience Laboratory, Department of Neurology, China Medical University Hospital, Taichung, Taiwan; School of Medicine, China Medical University, Taichung, Taiwan
| | - Ta-Liang Chen
- Department of Anesthesiology, Taipei Medical University Hospital, Taipei, Taiwan; School of Medicine, Taipei Medical University, Taipei, Taiwan
| | - Fung-Chang Sung
- Management Office for Health Data, China Medical University Hospital, Taichung, Taiwan; Department of Public Health, China Medical University, Taichung, Taiwan.
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Abstract
Parkinson's disease (PD) is the second most common neurodegenerative disorder after Alzheimer's disease and pathologically is characterised by a progressive loss of dopaminergic cells of the nigrostriatal pathway. Clinically, PD is mainly defined by the presence of the motor symptoms of bradykinesia, rigidity, rest tremor and postural instability, but non-motor symptoms such as depression, dementia and autonomic disturbances are recognised as integral parts of the disease. Although pharmacotherapy for PD was introduced almost 50 years ago, and has improved significantly over the intervening period, the timing of initiation of treatment in newly diagnosed PD remains controversial. While some physicians favour an early start of pharmacotherapy at or soon after diagnosis, others prefer to delay pharmacological treatment until a certain degree of disability has developed. This article aims to discuss the advantages and disadvantages of both strategies by exploring their effects on symptoms, disease progression and quality of life. Although the data on putative disease-modifying effects of early pharmacological intervention in PD are still inconclusive, we believe that the most important indication for an early initiation of anti-parkinsonian treatment should be to maintain the quality of life of PD patients and to secure their socioeconomic status as long as possible.
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Abdel-Salam OME. Prevalence, clinical features and treatment of depression in Parkinson’s disease: An update. World J Neurol 2015; 5:17-38. [DOI: 10.5316/wjn.v5.i1.17] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/28/2014] [Revised: 01/10/2015] [Accepted: 02/09/2015] [Indexed: 02/06/2023] Open
Abstract
Parkinson’s disease (PD) is one of the most prevalent neurodegenerative diseases which typically affects individuals over 65 years. Although the symptomatology is predominantly motor, neuropsychiatric manifestations, e.g., depression, apathy, anxiety, and cognitive impairment occur in the course of the illness and can have a great impact on the quality of life in these patients. Parkinson’s disease is commonly comorbid with depression with prevalence rates of depression, generally higher than those reported in general population. Depression in PD is frequently underestimated and consequently undertreated, which have significant effects on the quality of life in these patients. The neurobiology of depression in PD is complex and involves alterations in dopaminergic, serotonergic, noradrenergic and possibly other neurotransmitter systems which are affected in the course of the disease. The tricyclic antidepressants and the selective serotonin reuptake inhibitors are the two classes of antidepressant drugs used for depressive symptoms in PD. Several published studies suggested that both classes are of comparable efficacy. Other serotonergic antidepressants, e.g., nefazodone and trazodone have also been of benefit. Meanwhile, there are limited data available on other drugs but these suggest a benefit from the serotonin and noradrenaline reuptake inhibitors such as mirtazapine, venlafaxine, atomoxetine and duloxetine. Some of the drugs used in symptomatic treatment of PD, e.g., the irreversible selective inhibitors of the enzyme monoamine oxidase-B, rasagiline and selegiline as well as the dopamine receptor agonist pramipexole are likely to have direct antidepressant activity independent of their motor improving action. This would make these drugs an attractive option in depressed subjects with PD. The aim of this review is to provide an updated data on the prevalence, clinical features of depression in subjects with PD. The effects of antiparkinsonian and antidepressant drugs on depressive symptoms in these patients are also discussed.
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Tseng CH, Huang WS, Muo CH, Chang YJ, Kao CH. Increased depression risk among patients with chronic osteomyelitis. J Psychosom Res 2014; 77:535-40. [PMID: 25258357 DOI: 10.1016/j.jpsychores.2014.09.008] [Citation(s) in RCA: 27] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/13/2014] [Revised: 09/07/2014] [Accepted: 09/08/2014] [Indexed: 10/24/2022]
Abstract
OBJECTIVE Inflammatory processes, which provoke alternations of neurotransmitter metabolism, neuroendocrine function, and neuroplasticity in the brain, might promote depression. In depression patients who do not exhibit risk factors, including hypertension, diabetes, coronary heart disease, stroke, Parkinson's disease and dementia, particularly in young people, inflammation is a likely risk factor for depression. We explored whether chronic osteomyelitis (COM), a chronic inflammatory disease, increases depression risk. METHODS A Taiwanese national insurance claims data set of more than 22 million enrollees was used to select 15,529 COM patients without depression history and 62,116 randomly selected age- and gender-matched controls without depression and COM history to trace depression development for an 12-year follow-up period from January 1, 1999 to December 31, 2010. The depression risk was analyzed using the Cox proportional hazards regression model. RESULTS The above-mentioned risk factors for depression were more frequent in the COM cohort, who exhibited significantly higher depression risk than the control group did. Comparing only those without comorbidities, the COM group exhibited higher depression risk than the control group did (hazard ratio [HR]=3.04, 95% confidence interval [CI]: 2.55-3.62). The younger population carried even greater risk (age<45: HR=6.08, 95% CI: 1.71-7.85; age>65: HR=1.75, 95% CI: 1.39-2.19). CONCLUSIONS This is the first study connecting COM to increased risk of developing depression. The outcomes suggest that COM is a substantial depression predictor and call for a closer focus on these patients for more rigorous depression prevention, particularly in young people.
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Affiliation(s)
- Chun-Hung Tseng
- Department of Neurology, China Medical University Hospital, Taichung, Taiwan; Graduate Institute of Clinical Medical Science and School of Medicine, College of Medicine, China Medical University, Taichung, Taiwan
| | - Wei-Shih Huang
- Department of Neurology, China Medical University Hospital, Taichung, Taiwan; Graduate Institute of Clinical Medical Science and School of Medicine, College of Medicine, China Medical University, Taichung, Taiwan
| | - Chih-Hsin Muo
- Management Office for Health Data, China Medical University Hospital, Taichung, Taiwan
| | - Yen-Jung Chang
- Department of Health Promotion and Health Education, National Taiwan Normal University, Taipei, Taiwan
| | - Chia-Hung Kao
- Graduate Institute of Clinical Medical Science and School of Medicine, College of Medicine, China Medical University, Taichung, Taiwan; Department of Nuclear Medicine and PET Center, China Medical University Hospital, Taichung, Taiwan.
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Gan J, Zhou M, Chen W, Liu Z. Non-motor symptoms in Chinese Parkinson's disease patients. J Clin Neurosci 2013; 21:751-4. [PMID: 24411328 DOI: 10.1016/j.jocn.2013.07.015] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2013] [Accepted: 07/01/2013] [Indexed: 10/26/2022]
Abstract
This study was designed to survey the prevalence and distribution of non-motor symptoms (NMS) in Parkinson's disease (PD) patients in Shanghai, China, and to investigate the association between NMS and health-related quality of life (HRQoL). One hundred fifty-five PD patients were evaluated using the NMS Questionnaire 30 (NMSQuest), Unified Parkinson's Disease Rating Scale (UPDRS) and Parkinson's Disease Questionnaire-39 (PDQ-39). These data were compared with an international cross-sectional study, and the associations of motor and non-motor measures with HRQoL were estimated. Predictors of HRQoL were sought through multiple linear regression analyses. Each PD patient had eight different individual NMS on average. The problems of memory (65.82%), constipation (64.56%) and nocturia (61.39%) were the most frequent complaints. NMS prevalence in PD patients in Shanghai was consistent with that in the international study, although the composition proportions were different. There was a significant association of PDQ-39 score with NMSQuest score (rs=0.433, p=0.000), UPDRS III score (rs=0.473, p=0.000), Hoehn and Yahr (H-Y) stage (rs=0.567, p=0.000), disease duration (rs=0.220, p=0.005), and levodopa equivalent dosage (rs=0.263, p=0.001). H-Y stage (disease severity) and NMS score were the strongest predictors for PDQ-39 score. This study confirmed that NMS are common in PD, occurring across all disease stages and have a great impact on quality of life. NMS progression contributes significantly to HRQoL decline, and should be well recognized and treated.
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Affiliation(s)
- Jing Gan
- Department of Neurology, Xinhua Hospital Shanghai JiaoTong University, School of Medicine, 1665 Kongjiang Road, Shanghai 20092, China
| | - Mingzhu Zhou
- Department of Neurology, Xinhua Hospital Shanghai JiaoTong University, School of Medicine, 1665 Kongjiang Road, Shanghai 20092, China
| | - Wei Chen
- Department of Neurology, Xinhua Hospital Shanghai JiaoTong University, School of Medicine, 1665 Kongjiang Road, Shanghai 20092, China
| | - Zhenguo Liu
- Department of Neurology, Xinhua Hospital Shanghai JiaoTong University, School of Medicine, 1665 Kongjiang Road, Shanghai 20092, China.
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Uemura Y, Wada-Isoe K, Nakashita S, Nakashima K. Depression and cognitive impairment in patients with mild parkinsonian signs. Acta Neurol Scand 2013; 128:153-9. [PMID: 23397887 DOI: 10.1111/ane.12089] [Citation(s) in RCA: 20] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 12/21/2012] [Indexed: 11/30/2022]
Abstract
OBJECTIVES Mild parkinsonian signs (MPS) are reported to be associated with increased risk of dementia, Parkinson's disease, parkinsonism, and vascular lesions of white matter and are also a significant predictor of mortality. Although more than 20% of subjects aged 60 years and older suffer from MPS in Japan, it is often unrecognized and underestimated by patients and medical physicians. We used neuropsychological methods to examine cognitive function and depressive symptoms in subjects with MPS. METHODS We performed a population-based study in Ama-cho, a rural island town in western Japan. Participants included 951 subjects aged 65 years and older, 613 of whom completed all questionnaires, neurological examinations, and neuropsychological assessments and were included in the data analysis. Subjects were assessed for depression and subjective cognitive impairment using the Geriatric Depression Scale (GDS-15), Mini-Mental State Examination (MMSE), Clinical Dementia Rating (CDR), and modified Unified Parkinson's Disease Rating Scale (mUPDRS). RESULTS Of the 613 participants, 143 were diagnosed with MPS. GDS scores were significantly higher in the MPS group compared with the motor control group, while MMSE scores were significantly lower. CONCLUSIONS We demonstrated that MPS correlate with both depressive symptoms and cognitive impairment.
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Affiliation(s)
- Y. Uemura
- Department of Neurology; Matsue Seikyo General Hospital; Matsue; Japan
| | - K. Wada-Isoe
- Division of Neurology; Department of Brain and Neurosciences; Faculty of Medicine; Tottori University; Yonago; Japan
| | - S. Nakashita
- Division of Neurology; Department of Brain and Neurosciences; Faculty of Medicine; Tottori University; Yonago; Japan
| | - K. Nakashima
- Division of Neurology; Department of Brain and Neurosciences; Faculty of Medicine; Tottori University; Yonago; Japan
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Leentjens AFG, Moonen AJH, Dujardin K, Marsh L, Martinez-Martin P, Richard IH, Starkstein SE, Köhler S. Modeling depression in Parkinson disease: disease-specific and nonspecific risk factors. Neurology 2013; 81:1036-43. [PMID: 23946309 DOI: 10.1212/wnl.0b013e3182a4a503] [Citation(s) in RCA: 46] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022] Open
Abstract
OBJECTIVE To construct a model for depression in Parkinson disease (PD) and to study the relative contribution of PD-specific and nonspecific risk factors to this model. METHODS Structural equation modeling of direct and indirect associations of risk factors with the latent depression outcome using a cross-sectional dataset of 342 patients with PD. RESULTS A model with acceptable fit was generated that explained 41% of the variance in depression. In the final model, 3 PD-specific variables (increased disease duration, more severe motor symptoms, the use of levodopa) and 6 nonspecific variables (female sex, history of anxiety and/or depression, family history of depression, worse functioning on activities of daily living, and worse cognitive status) were maintained and significantly associated with depression. Nonspecific risk factors had a 3-times-higher influence in the model than PD-specific risk factors. CONCLUSION In this cross-sectional study, we showed that nonspecific factors may be more prominent markers of depression than PD-specific factors. Accordingly, research on depression in PD should focus not only on factors associated with or specific for PD, but should also examine a wider scope of factors including general risk factors for depression, not specific for PD.
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Affiliation(s)
- Albert F G Leentjens
- From the Department of Psychiatry (A.F.G.L., A.J.H.M.), Maastricht University Medical Center, Maastricht; School for Mental Health and Neuroscience (A.F.G.L., A.J.H.M., S.K.), Maastricht University, Maastricht, the Netherlands; Neurology and Movement Disorders Unit (K.D.), Lille University Medical Center, Lille, France; Mental Health Care Line (L.M.), Michael E. DeBakey Veterans Administration Medical Center and Departments of Psychiatry and Neurology, Baylor College of Medicine, Houston, TX; Alzheimer Disease Research Unit and CIBERNED (P.M.-M.), Alzheimer Center Reina Sofia Foundation, Carlos III Institute of Health, Madrid, Spain; Departments of Neurology and Psychiatry (I.H.R.), University of Rochester School of Medicine and Dentistry, Rochester, NY; and School of Psychiatry (S.E.S.), University of Western Australia and Fremantle Hospital, Fremantle, Australia
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Pouwels S, Bazelier MT, de Boer A, Weber WEJ, Neef C, Cooper C, de Vries F. Risk of fracture in patients with Parkinson's disease. Osteoporos Int 2013; 24:2283-90. [PMID: 23430103 DOI: 10.1007/s00198-013-2300-2] [Citation(s) in RCA: 39] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/04/2012] [Accepted: 01/11/2013] [Indexed: 10/27/2022]
Abstract
UNLABELLED The aim of the study was to determine fracture risk in incident Parkinson's disease (PD) patients. This study showed that fracture risk assessment may be indicated among patients with PD, in particular when they have recently used selective serotonin re-uptake inhibitors or high-dose antipsychotics, or have a history of fracture, falling, low body mass index (BMI) or renal disease. INTRODUCTION PD is a movement disorder associated with falling and detrimental effects on bone. Both are recognized risk factors for fracture. Therefore, the aim was to determine fracture risk in incident PD patients stratified by treatment, severity, duration of disease and related comorbidities. METHODS We conducted a retrospective cohort study using the UK General Practice Research Database (1987-2011). Each PD patient was matched by age, sex, calendar time and practice to a control patient without history of PD. RESULTS We identified 4,687 incident PD patients. Compared to controls, a statistically significant increased risk was observed for any fracture (adjusted hazard ratio [AHR], 1.89; 95 % confidence interval [CI], 1.67-2.14), osteoporotic fracture (AHR, 1.99; 95 % CI, 1.72-2.30) and hip fracture (AHR 3.08; 95 % CI, 2.43-3.89). Fracture risk further increased with history of fracture, falling, low BMI, renal disease, antidepressant use and use of high-dose antipsychotics. CONCLUSION This study showed that incident PD patients have a statistically significant increased risk of fracture. Therefore, fracture risk assessment may be indicated among PD patients, who, besides the general risk factors for fracture, like increasing age and female gender, have recently used selective serotonin re-uptake inhibitors or high-dose antipsychotics or have a history of fracture, falling, low BMI or renal disease.
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Affiliation(s)
- S Pouwels
- Utrecht Institute for Pharmaceutical Sciences, Universiteit Utrecht, Universiteitsweg, 99, 3584 CG Utrecht, Netherlands
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Motor symptoms at onset of Parkinson disease and risk for cognitive impairment and depression. Cogn Behav Neurol 2013; 25:115-20. [PMID: 22960435 DOI: 10.1097/wnn.0b013e31826dfd62] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/25/2023]
Abstract
OBJECTIVE To determine whether side and type of initial motor symptoms in Parkinson disease (PD) predict risk for later development of cognitive impairment or depressive symptoms. METHODS We recruited 124 non-demented patients with PD to participate in a cohort study of cognitive function and depressive symptoms that used validated neuropsychological tests and a depressive symptom inventory. We first reviewed the patients' charts to determine their initial motor symptom and side of onset, and then classified the patients into 4 groups: right-sided onset tremor, right-sided onset bradykinesia/rigidity, left-sided onset tremor, and left-sided onset bradykinesia/rigidity. We excluded patients with bilateral symptom onset. We used analysis of variance on neuropsychological test performance and depressive symptoms to determine whether group classification affected risk of cognitive impairment or depressive symptoms. We controlled our analyses for disease duration and motor severity as measured by the Unified Parkinson Disease Rating Scale Part III motor score. RESULTS There were no differences in any cognitive measure by side and type of initial motor symptoms. The right-sided onset tremor group had the lowest depressive symptom scores, and no patient in any group reported severe depressive symptoms. CONCLUSIONS Our findings suggest that patterns of nigral cell loss correlating to the initial side and type of motor symptoms in PD are not related to the risk of later cognitive impairment. By contrast, patients with right-sided onset of tremor seem to have a lower risk of depressive symptoms than patients with other presentations.
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Depressione e malattia di Parkinson. Neurologia 2013. [DOI: 10.1016/s1634-7072(12)63928-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022] Open
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Cunha MP, Machado DG, Capra JC, Jacinto J, Bettio LE, Rodrigues ALS. Antidepressant-like effect of creatine in mice involves dopaminergic activation. J Psychopharmacol 2012; 26:1489-501. [PMID: 22674968 DOI: 10.1177/0269881112447989] [Citation(s) in RCA: 33] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
Creatine has been shown to play a significant role in health and disease. However, studies concerning its effect on mood are scarce. This study investigated the effect of creatine (p.o.) in the tail suspension test, a predictive test of antidepressant activity. Creatine reduced the immobility time in the tail suspension test (0.1-1000 mg/kg, male and female mice), without affecting locomotor activity. Furthermore, the involvement of the dopaminergic system in creatine-induced antidepressant-like effect in male mice in the tail suspension test was investigated. The anti-immobility effect of creatine (1 mg/kg) was prevented by the pre-treatment of mice with haloperidol (0.2 mg/kg, intraperitoneal (i.p.) route, non-selective dopamine receptor antagonist), (R)-(+)-7-chloro-8-hydroxy-3-methyl-1-phenyl-2,3,4,5-tetrahydro-1H-3-benzazepine hydrochloride (SCH23390; 0.05 mg/kg, subcutaneous (s.c.) route, dopamine D₁ receptor antagonist) and sulpiride (50 mg/kg, i.p., dopamine D₂ receptor antagonist). Creatine (0.01 mg/kg, sub-effective dose) in combination with sub-effective doses of (1-phenyl-7,8-dihydroxy-2,3,4,5-tetrahydro-1H-3-benzazepine) hydrochloride (SKF38393; 0.1 mg/kg, s.c., dopamine D₁ receptor agonist), apomorphine (0.5 µg/kg, i.p., preferential dopamine D₂ receptor agonist) or bupropion (1 mg/kg, p.o., dopamine reuptake inhibitor with subtle activity on noradrenergic reuptake) reduced the immobility time in the tail suspension test as compared with either drug alone. These results indicate that the antidepressant-like effect of creatine is likely mediated by an activation of dopamine D₁ and D₂ receptors.
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Affiliation(s)
- Mauricio P Cunha
- Departamento de Bioquímica, Universidade Federal de Santa Catarina, Florianópolis, Brazil
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Cognitive behavioural therapy for depression in advanced Parkinson's disease: a case illustration. COGNITIVE BEHAVIOUR THERAPIST 2012. [DOI: 10.1017/s1754470x12000049] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/06/2023]
Abstract
AbstractParkinson's disease (PD) is associated with significant symptoms of depression. Cognitive behaviour therapy (CBT) has been shown to be effective for depression in PD. However, much of the previous research focuses on working with younger adults in the earlier stages of the disease, despite evidence for greater risk of depression when PD symptoms are more severe. This paper provides a case illustration of using CBT for depression with an 84-year-old man with advanced PD. The results of an assessment are described and a psychological formulation is presented. The specific adaptations made to the therapy and illustrations of the content of therapy are discussed. This intervention resulted in improvements in global mental health and moderate reductions in depression. However, there was no effect on anxiety. This case highlights the complexity of conducting CBT with this population, and further research is needed to determine the modifications necessary to make such interventions effective.
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Abstract
Depression occurs in around 35% of patients with Parkinson disease (PD) and is often persistent. Symptoms of depression can be evident in individuals at the time of diagnosis and might develop in the premotor stage of the disease. The underlying mechanisms of depression in PD are not known in detail, but changes in brain structure, signaling by neurotransmitters, and levels of inflammatory and neurotrophic factors are all suggested to contribute to its development. Psychosocial factors and pain could also have roles in depression. Changes in dopaminergic, noradrenergic and serotonergic systems in patients with PD might help to explain the incidence of depression in these individuals. Antidepressants that have dual serotonergic and noradrenergic effects are the drugs of choice for treating depression in PD. However, antiparkinsonian drugs might have beneficial effects not only on the motor symptoms of disease, but also on a patient's mood. Deep brain stimulation can worsen depression in some patients, but a preliminary study has suggested that transcranial magnetic stimulation could improve symptoms of depression. This Review describes the frequency and course of depression in patients with PD. The mechanisms that underlie depression in this disease are also discussed, and the management strategies for these patients are highlighted.
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