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Carlisle TC, Medina LD, Holden SK. Original research: initial development of a pragmatic tool to estimate cognitive decline risk focusing on potentially modifiable factors in Parkinson's disease. Front Neurosci 2023; 17:1278817. [PMID: 37942138 PMCID: PMC10628974 DOI: 10.3389/fnins.2023.1278817] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2023] [Accepted: 10/03/2023] [Indexed: 11/10/2023] Open
Abstract
Introduction Cognitive decline is common in Parkinson's disease (PD). Calculating personalized risk of cognitive decline in PD would allow for appropriate counseling, early intervention with available treatments, and inclusion in disease-modifying trials. Methods Data were from the Parkinson's Progression Markers Initiative de novo cohort. Baseline scores were calculated for Lifestyle for Brain Health (LIBRA) and the Montreal Parkinson Risk of Dementia Scale (MoPaRDS) per prior literature and preliminary Parkinson's disease Risk Estimator for Decline In Cognition Tool (pPREDICT) by attributing a point for fourteen posited risk factors. Baseline and 5-year follow-up composite cognitive scores (CCSs) were calculated from a neuropsychological battery and used to define cognitive decliners (PD-decline) versus maintainers (PD-maintain). Results The PD-decline group (n = 44) had higher LIBRA (6.76 ± 0.57, p < 0.05), MoPaRDS (2.45 ± 1.41, p < 0.05) and pPREDICT (4.52 ± 1.66, p < 0.05) scores compared to the PD-maintain group (n = 263; LIBRA 4.98 ± 0.20, MoPaRDS 1.68 ± 1.16, pPREDICT 3.38 ± 1.69). Area-under-the-curve (AUC) for LIBRA was 0.64 (95% confidence interval [CI], 0.55-0.73), MoPaRDS was 0.66 (95% CI, 0.58-0.75) and for pPREDICT was 0.68 (95% CI, 0.61-0.76). In linear regression analyses, LIBRA (p < 0.05), MoPaRDS (p < 0.05) and pPREDICT (p < 0.05) predicted change in CCS. Only age stratified by sex (p < 0.05) contributed significantly to the model for LIBRA. Age and presence of hallucinations (p < 0.05) contributed significantly to the model for MoPaRDS. Male sex, older age, excessive daytime sleepiness, and moderate-severe motor symptoms (all p < 0.05) contributed significantly to the model for pPREDICT. Conclusion Although MoPaRDS is a PD-specific tool for predicting cognitive decline relying on only clinical features, it does not focus on potentially modifiable risk factors. LIBRA does focus on potentially modifiable risk factors and is associated with prediction of all-cause dementia in some populations, but pPREDICT potentially demonstrates improved performance in cognitive decline risk calculation in individuals with PD and may identify actionable risk factors. As pPREDICT incorporates multiple potentially modifiable risk factors that can be obtained easily in the clinical setting, it is a first step in developing an easily assessable tool for a personalized approach to reduce dementia risk in people with PD.
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Affiliation(s)
- Tara C. Carlisle
- Department of Neurology, Behavioral Neurology Section, University of Colorado School of Medicine, Aurora, CO, United States
- University of Colorado Alzheimer’s and Cognition Center, Aurora, CO, United States
- University of Colorado Movement Disorders Center, Aurora, CO, United States
| | - Luis D. Medina
- Department of Psychology, University of Houston, Houston, TX, United States
| | - Samantha K. Holden
- Department of Neurology, Behavioral Neurology Section, University of Colorado School of Medicine, Aurora, CO, United States
- University of Colorado Alzheimer’s and Cognition Center, Aurora, CO, United States
- University of Colorado Movement Disorders Center, Aurora, CO, United States
- Department of Neurology, Movement Disorders Section, University of Colorado School of Medicine, Aurora, CO, United States
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Niu L, Yao C, Zhang C, Zhou C, Fu Y, Li Y, Yang H, Sun X, Yang J, Zhao P, Yi S, Wang T, Li S, Li J. Sex- and age-specific prevalence and risk factors of depressive symptoms in Parkinson's disease. J Neural Transm (Vienna) 2023; 130:1291-1302. [PMID: 37418038 DOI: 10.1007/s00702-023-02658-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2023] [Accepted: 05/24/2023] [Indexed: 07/08/2023]
Abstract
Although depressive symptoms are common in PD, few studies investigated sex and age differences in depressive symptoms. Our study aimed to explore the sex and age differences in the clinical correlates of depressive symptoms in patients with PD. 210 PD patients aged 50-80 were recruited. Levels of glucose and lipid profiles were measured. The Hamilton Depression Rating Scale-17 (HAMD-17), the Montreal Cognitive Assessment (MoCA) and the Movement Disorder Society Unified Parkinson's Disease Rating Scale Part III (MDS-UPDRS-III) assessed depressive symptom, cognition and motor function, respectively. Male depressive PD participants had higher fasting plasma glucose (FPG) levels. Regarding the 50-59 years group, depressive patients had higher TG levels. Moreover, there were sex and age differences in the factors associated with severity of depressive symptoms. In male PD patients, FPG was an independent contributor to HAMD-17 (Beta = 0.412, t = 4.118, p < 0.001), and UPDRS-III score was still associated with HAMD-17 in female patients after controlling for confounding factors (Beta = 0.304, t = 2.961, p = 0.004). Regarding the different age groups, UPDRS-III (Beta = 0.426, t = 2.986, p = 0.005) and TG (Beta = 0.366, t = 2.561, p = 0.015) were independent contributors to HAMD-17 in PD patients aged 50-59. Furthermore, non-depressive PD patients demonstrated better performance with respect to visuospatial/executive function among the 70-80 years group. These findings suggest that sex and age are crucial non-specific factors to consider when assessing the relationship between glycolipid metabolism, PD-specific factors and depression.
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Affiliation(s)
- Lichao Niu
- Laboratory of Biological Psychiatry, Tianjin Anding Hospital, Mental Health Center of Tianjin Medical University, 13 Liulin Road, Hexi District, Tianjin, 300222, China
| | - Cong Yao
- Laboratory of Biological Psychiatry, Tianjin Anding Hospital, Mental Health Center of Tianjin Medical University, 13 Liulin Road, Hexi District, Tianjin, 300222, China
| | - Chuhao Zhang
- Laboratory of Biological Psychiatry, Tianjin Anding Hospital, Mental Health Center of Tianjin Medical University, 13 Liulin Road, Hexi District, Tianjin, 300222, China
| | - Chi Zhou
- Laboratory of Biological Psychiatry, Tianjin Anding Hospital, Mental Health Center of Tianjin Medical University, 13 Liulin Road, Hexi District, Tianjin, 300222, China
| | - Yun Fu
- Department of Genetics, College of Basic Medical Sciences, Tianjin Medical University, Tianjin, 300070, China
| | - Yanzhe Li
- Laboratory of Biological Psychiatry, Tianjin Anding Hospital, Mental Health Center of Tianjin Medical University, 13 Liulin Road, Hexi District, Tianjin, 300222, China
| | - Hechao Yang
- Laboratory of Biological Psychiatry, Tianjin Anding Hospital, Mental Health Center of Tianjin Medical University, 13 Liulin Road, Hexi District, Tianjin, 300222, China
| | - Xiaoxiao Sun
- Laboratory of Biological Psychiatry, Tianjin Anding Hospital, Mental Health Center of Tianjin Medical University, 13 Liulin Road, Hexi District, Tianjin, 300222, China
| | - Junfeng Yang
- Department of Neurology, Tianjin Medical University General Hospital, Tianjin, 300052, China
| | - Peng Zhao
- Department of Neurology, Tianjin Medical University General Hospital, Tianjin, 300052, China
| | - Simin Yi
- Laboratory of Biological Psychiatry, Tianjin Anding Hospital, Mental Health Center of Tianjin Medical University, 13 Liulin Road, Hexi District, Tianjin, 300222, China
| | - Tingyun Wang
- Laboratory of Biological Psychiatry, Tianjin Anding Hospital, Mental Health Center of Tianjin Medical University, 13 Liulin Road, Hexi District, Tianjin, 300222, China
| | - Shen Li
- Laboratory of Biological Psychiatry, Tianjin Anding Hospital, Mental Health Center of Tianjin Medical University, 13 Liulin Road, Hexi District, Tianjin, 300222, China.
| | - Jie Li
- Laboratory of Biological Psychiatry, Tianjin Anding Hospital, Mental Health Center of Tianjin Medical University, 13 Liulin Road, Hexi District, Tianjin, 300222, China.
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Islam SS, Neargarder S, Kinger SB, Fox-Fuller JT, Salazar RD, Cronin-Golomb A. Perceived stigma and quality of life in Parkinson’s disease with additional health conditions. Gen Psychiatr 2022; 35:e100653. [PMID: 35846485 PMCID: PMC9226861 DOI: 10.1136/gpsych-2021-100653] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/24/2021] [Accepted: 05/20/2022] [Indexed: 11/04/2022] Open
Abstract
BackgroundParkinson’s disease (PD) is associated with perceived stigma and affects quality of life (QoL). Additional health conditions may influence these consequences of PD.AimsThis study assessed the impact of health conditions on perceived stigma and QoL in persons with PD. We hypothesised that individuals with more health conditions would report more stigma and poorer QoL. We also examined the contributions of demographic and clinical characteristics to the correlations between health conditions and perceived stigma/QoL.MethodsWe identified 196 eligible participants from the Boston University Online Survey Study of Parkinson’s Disease and examined their health history, performance on multiple stigma measures, and scores on the 39-item Parkinson’s Disease Questionnaire assessing QoL.ResultsAt least one health condition was reported by 79% of the sample, with a median of 2 and a range of 0–7 health conditions. More perceived stigma and poorer QoL were associated with thyroid disease, depression, anxiety, and the total number of health conditions. These correlations were related to younger age, less education, and earlier disease onset. Other health conditions (high blood pressure, back/leg surgery, headache, cancer/tumours, and heart disease) were not significantly correlated with stigma or QoL.ConclusionsHaving more health conditions, or thyroid disease, depression, or anxiety, was associated with more perceived stigma and poorer QoL, with younger age, less education, and earlier disease onset affecting the associations. It is important to consider the burden of health conditions and how they affect persons with PD with specific clinical characteristics.
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Affiliation(s)
- Samia S Islam
- Department of Psychological and Brain Sciences, Boston University, Boston, Massachusetts, USA
| | - Sandy Neargarder
- Department of Psychological and Brain Sciences, Boston University, Boston, Massachusetts, USA
- Department of Psychology, Bridgewater State University, Bridgewater, Massachusetts, USA
| | - Shraddha B Kinger
- Department of Psychological and Brain Sciences, Boston University, Boston, Massachusetts, USA
| | - Joshua T Fox-Fuller
- Department of Psychological and Brain Sciences, Boston University, Boston, Massachusetts, USA
| | - Robert D Salazar
- Department of Psychological and Brain Sciences, Boston University, Boston, Massachusetts, USA
| | - Alice Cronin-Golomb
- Department of Psychological and Brain Sciences, Boston University, Boston, Massachusetts, USA
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Halhouli O, Zhang Q, Aldridge GM. Caring for patients with cognitive dysfunction, fluctuations and dementia caused by Parkinson's disease. PROGRESS IN BRAIN RESEARCH 2022; 269:407-434. [PMID: 35248204 DOI: 10.1016/bs.pbr.2022.01.018] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
Abstract
Cognitive dysfunction is one of the most prevalent non-motor symptoms in patients with Parkinson's disease (PD). While it tends to worsen in the later stages of disease, it can occur at any time, with 15-20% of patients exhibiting cognitive deficits at diagnosis (Aarsland et al., 2010; Goldman and Sieg, 2020). The characteristic features of cognitive dysfunction include impairment in executive function, visuospatial abilities, and attention, which vary in severity from subtle impairment to overt dementia (Martinez-Horta and Kulisevsky, 2019). To complicate matters, cognitive dysfunction is prone to fluctuate in PD patients, impacting diagnosis and the ability to assess progression and decision-making capacity. The diagnosis of cognitive impairment or dementia has a huge impact on patient independence, quality of life, life expectancy and caregiver burden (Corallo et al., 2017; Lawson et al., 2016; Leroi et al., 2012). It is therefore essential that physicians caring for patients with PD provide education, screening and treatment for this aspect of the disease. In this chapter, we provide a practical guide for the assessment and management of various degrees of cognitive dysfunction in patients with PD by approaching the disease at different stages. We address risk factors for cognitive dysfunction, prevention strategies prior to making the diagnosis, available tools for screening. Lastly, we review aspects of care, management and considerations, including decision-making capacity, that occur after the patient has been diagnosed with cognitive dysfunction or dementia.
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Affiliation(s)
- Oday Halhouli
- University of Iowa, Department of Neurology, Iowa City, IA, United States
| | - Qiang Zhang
- University of Iowa, Department of Neurology, Iowa City, IA, United States
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Gonzalez-Latapi P, Bayram E, Litvan I, Marras C. Cognitive Impairment in Parkinson's Disease: Epidemiology, Clinical Profile, Protective and Risk Factors. Behav Sci (Basel) 2021; 11:bs11050074. [PMID: 34068064 PMCID: PMC8152515 DOI: 10.3390/bs11050074] [Citation(s) in RCA: 36] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2021] [Revised: 05/07/2021] [Accepted: 05/08/2021] [Indexed: 02/07/2023] Open
Abstract
Cognitive impairment is a common non-motor symptom in Parkinson's Disease (PD) and an important source of patient disability and caregiver burden. The timing, profile and rate of cognitive decline varies widely among individuals with PD and can range from normal cognition to mild cognitive impairment (PD-MCI) and dementia (PDD). Beta-amyloid and tau brain accumulation, oxidative stress and neuroinflammation are reported risk factors for cognitive impairment. Traumatic brain injury and pesticide and tobacco exposure have also been described. Genetic risk factors including genes such as COMT, APOE, MAPT and BDNF may also play a role. Less is known about protective factors, although the Mediterranean diet and exercise may fall in this category. Nonetheless, there is conflicting evidence for most of the factors that have been studied. The use of inconsistent criteria and lack of comprehensive assessment in many studies are important methodological issues. Timing of exposure also plays a crucial role, although identification of the correct time window has been historically difficult in PD. Our understanding of the mechanism behind these factors, as well as the interactions between gene and environment as determinants of disease phenotype and the identification of modifiable risk factors will be paramount, as this will allow for potential interventions even in established PD.
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Affiliation(s)
- Paulina Gonzalez-Latapi
- Edmond J. Safra Program in Parkinson’s Disease and the Morton and Gloria Shulman Movement Disorders Clinic, Toronto Western Hospital, University Health Network, Toronto, ON M5T2S8, Canada;
| | - Ece Bayram
- Parkinson and Other Movement Disorders Center, Department of Neurosciences, University of California San Diego, La Jolla, CA 92093, USA; (E.B.); (I.L.)
| | - Irene Litvan
- Parkinson and Other Movement Disorders Center, Department of Neurosciences, University of California San Diego, La Jolla, CA 92093, USA; (E.B.); (I.L.)
| | - Connie Marras
- Edmond J. Safra Program in Parkinson’s Disease and the Morton and Gloria Shulman Movement Disorders Clinic, Toronto Western Hospital, University Health Network, Toronto, ON M5T2S8, Canada;
- Correspondence:
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