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Hvingelby VS, Carra RB, Terkelsen MH, Hamani C, Capato T, Košutzká Z, Krauss JK, Moro E, Pavese N, Cury RG. A Pragmatic Review on Spinal Cord Stimulation Therapy for Parkinson's Disease Gait Related Disorders: Gaps and Controversies. Mov Disord Clin Pract 2024; 11:927-947. [PMID: 38899557 PMCID: PMC11329578 DOI: 10.1002/mdc3.14143] [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: 08/01/2023] [Revised: 05/30/2024] [Accepted: 06/01/2024] [Indexed: 06/21/2024] Open
Abstract
BACKGROUND Parkinson's Disease (PD) is a progressive neurological disorder that results in potentially debilitating mobility deficits. Recently, spinal cord stimulation (SCS) has been proposed as a novel therapy for PD gait disorders. The highest levels of evidence remain limited for SCS. OBJECTIVES In this systematic review and narrative synthesis, the literature was searched using combinations of key phrases indicating spinal cord stimulation and PD. METHODS We included pre-clinical studies and all published clinical trials, case reports, conference abstracts as well as protocols for ongoing clinical trials. Additionally, we included trials of SCS applied to atypical parkinsonism. RESULTS A total of 45 human studies and trials met the inclusion criteria. Based on the narrative synthesis, a number of knowledge gaps and future avenues of potential research were identified. This review demonstrated that evidence for SCS is currently not sufficient to recommend it as an evidence-based therapy for PD related gait disorders. There remain challenges and significant barriers to widespread implementation, including issues regarding patient selection, effective outcome selection, stimulation location and mode, and in programming parameter optimization. Results of early randomized controlled trials are currently pending. SCS is prone to placebo, lessebo and nocebo as well as blinding effects which may impact interpretation of outcomes, particularly when studies are underpowered. CONCLUSION Therapies such as SCS may build on current evidence and be shown to improve specific gait features in PD. Early negative trials should be interpreted with caution, as more evidence will be required to develop effective methodologies in order to drive clinical outcomes.
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Affiliation(s)
- Victor S. Hvingelby
- Department of Clinical Medicine – Nuclear Medicine and PET CenterAarhus UniversityAarhusDenmark
| | - Rafael B. Carra
- Department of Neurology, School of MedicineUniversity of São PauloSão PauloBrazil
| | - Miriam H. Terkelsen
- Department of Clinical Medicine – Nuclear Medicine and PET CenterAarhus UniversityAarhusDenmark
| | - Clement Hamani
- Division of Neurosurgery, Sunnybrook Health Sciences CentreUniversity of TorontoTorontoOntarioCanada
| | - Tamine Capato
- Department of Neurology, School of MedicineUniversity of São PauloSão PauloBrazil
| | - Zuzana Košutzká
- Second Department of NeurologyComenius University BratislavaBratislavaSlovakia
| | - Joachim K. Krauss
- Department of Neurosurgery, Hannover Medical SchoolHannoverGermany
- Center for Systems NeuroscienceHannoverGermany
| | - Elena Moro
- Grenoble Alpes University, Division of Neurology, CHU of Grenoble, Grenoble Institute of NeurosciencesGrenobleFrance
| | - Nicola Pavese
- Clinical Ageing Research Unit Newcastle UniversityNewcastle upon TyneUK
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Lin HY, Lin YT, Chiou CP, Pan HH. The impact of fatigue severity and depression level on the quality of life in individuals with Parkinson's disease in Taiwan. Front Psychiatry 2024; 15:1309989. [PMID: 39100849 PMCID: PMC11294622 DOI: 10.3389/fpsyt.2024.1309989] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/09/2023] [Accepted: 05/22/2024] [Indexed: 08/06/2024] Open
Abstract
Background Patients diagnosed with Parkinson's disease undergo alterations in physical, psychological, and social functionality, with the psychological domain being particularly predisposed to inducing fatigue and depressive symptoms. Understanding the alterations occurring within a patient's body and mind and how these influence their overall quality of life is crucial. Purpose This study sought to explore the predictive capacity of fatigue severity, the presence of depressive symptoms, and diverse demographic factors on the quality of life among individuals with Parkinson's disease. Methods A cross-sectional correlational study was conducted at a teaching hospital in southern Taiwan. The research utilized a questionnaire survey to interview 133 study participants, focusing on the Quality of Life Scale, Depression Scale, Fatigue Severity Scale, Social Support Scale, and demographic attributes. Results A total of 130 valid questionnaires were obtained. The results showed that Hoehn and Yahr stage, fatigue severity, and depression status could predict quality of life, explaining 51.1% of the total variance. These findings suggest that patients at advanced Hoehn and Yahr stages, experiencing more severe fatigue, and exhibiting higher levels of depression, tended to report a lower overall quality of life. Our findings suggest that, in addition to Hoehn and Yahr stage, the severity of fatigue and levels of depression significantly impact the quality of life in individuals with Parkinson's disease. Conclusion Nurses need to understand the "stressful life events" and the changes in appearance and physical function that patients with Parkinson's disease face due to chronic degenerative diseases. Hence, apart from addressing patients' physiological needs, healthcare professionals should also offer appropriate care for psychological issues, such as depressive symptoms. Encouraging patients to participate in "counseling groups" can further bolster their social support networks, enhancing their overall well-being and addressing comorbidities associated with chronic degenerative diseases.
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Affiliation(s)
- Hung-Yu Lin
- School of Medicine, College of Medicine, I-Shou University, Kaohsiung, Taiwan
- Division of Urology, Department of Surgery, E-Da Cancer Hospital, I-Shou University, Kaohsiung, Taiwan
| | - Yi-Tung Lin
- Department of Nursing, E-Da Hospital, I-Shou University, Kaohsiung, Taiwan
| | | | - Hsueh-Hsing Pan
- School of Nursing, National Defense Medical Center, Taipei, Taiwan
- Department of Nursing, Tri-Service General Hospital, Taipei, Taiwan
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Milane T, Hansen C, Correno MB, Chardon M, Barbieri FA, Bianchini E, Vuillerme N. Comparison of sleep characteristics between Parkinson's disease with and without freezing of gait: A systematic review. Sleep Med 2024; 114:24-41. [PMID: 38150950 DOI: 10.1016/j.sleep.2023.11.021] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/25/2023] [Revised: 08/03/2023] [Accepted: 11/15/2023] [Indexed: 12/29/2023]
Abstract
Parkinson's disease (PD) is a neurodegenerative disorder characterized by a range of motor and non-motor symptoms. Among the motor complaints, freezing of gait (FOG) is a common and disabling phenomenon that episodically hinders patients' ability to produce efficient steps. Concurrently, sleep disorders are prevalent in PD and significantly impact the quality of life of affected individuals. Numerous studies have suggested a bidirectional relationship between FOG and sleep disorders. Therefore, our objective was to systematically review the literature and compare sleep outcomes in PD patients with FOG (PD + FOG) and those without FOG (PD-FOG). By conducting a comprehensive search of the PubMed and Web of Science databases, we identified 20 eligible studies for inclusion in our analysis. Our review revealed that compared to PD-FOG, PD + FOG patients exhibited more severe symptoms of rapid eye movement sleep behavior disorder in nine studies, increased daytime sleepiness in eight studies, decreased sleep quality in four studies, and more frequent and severe sleep disturbances in four studies. These findings indicate that PD + FOG patients generally experience worse sleep quality, higher levels of daytime sleepiness, and more disruptive sleep disturbances compared to those without FOG (PD-FOG). The association between sleep disturbances and FOG highlights the importance of evaluating and monitoring these symptoms in PD patients and open the possibility for future studies to assess the impact of managing sleep disturbances on the severity and occurrence of FOG, and vice versa.
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Affiliation(s)
- Tracy Milane
- AGEIS, Université Grenoble Alpes, 38000, Grenoble, France; Department of Neurology, UKSH Campus Kiel, Kiel University, Arnold-Heller-Str. 3, Haus D, 24105, Kiel, Germany
| | - Clint Hansen
- AGEIS, Université Grenoble Alpes, 38000, Grenoble, France; Department of Neurology, UKSH Campus Kiel, Kiel University, Arnold-Heller-Str. 3, Haus D, 24105, Kiel, Germany.
| | - Mathias Baptiste Correno
- AGEIS, Université Grenoble Alpes, 38000, Grenoble, France; Department of Neurology, UKSH Campus Kiel, Kiel University, Arnold-Heller-Str. 3, Haus D, 24105, Kiel, Germany
| | - Matthias Chardon
- AGEIS, Université Grenoble Alpes, 38000, Grenoble, France; São Paulo State University (Unesp), School of Sciences, Department of Physical Education, Human Movement Research Laboratory (MOVI-LAB), Bauru, Brazil
| | - Fabio A Barbieri
- São Paulo State University (Unesp), School of Sciences, Department of Physical Education, Human Movement Research Laboratory (MOVI-LAB), Bauru, Brazil
| | - Edoardo Bianchini
- AGEIS, Université Grenoble Alpes, 38000, Grenoble, France; Department of Neuroscience, Mental Health and Sensory Organs (NESMOS), Sapienza University of Rome, 00189, Rome, Italy
| | - Nicolas Vuillerme
- AGEIS, Université Grenoble Alpes, 38000, Grenoble, France; LabCom Telecom4Health, Orange Labs & Université Grenoble Alpes, CNRS, Inria, Grenoble INP-UGA, 38000, Grenoble, France; Institut Universitaire de France, 75005, Paris, France.
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Mezzarobba S, Cosentino C, Putzolu M, Panuccio F, Fabbrini G, Valente D, Costi S, Galeoto G, Pelosin E. Assessment of the psychometric properties of the Italian version of the New Freezing of Gait Questionnaire (NFOG-Q-IT) in people with Parkinson disease: a validity and reliability study. Neurol Sci 2023; 44:3133-3140. [PMID: 37072581 PMCID: PMC10112304 DOI: 10.1007/s10072-023-06800-1] [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: 07/08/2022] [Accepted: 04/03/2023] [Indexed: 04/20/2023]
Abstract
INTRODUCTION Freezing of gait (FOG) in Parkinson's disease (PD) is a challenging clinical symptom to assess, due to its episodic nature. A valid and reliable tool is the New FOG Questionnaire (NFOG-Q) used worldwide to measure FOG symptoms in PD. OBJECTIVE The aim of this study was to translate, to culturally adapt, and to test the psychometric characteristics of the Italian version of the NFOG-Q (NFOG-Q-It). METHODS The translation and cultural adaptation was based on ISPOR TCA guidelines to finalize the 9-item NFOG-Q-It. Internal consistency was assessed in 181 Italian PD native speakers who experienced FOG using Cronbach's alpha. Cross-cultural analysis was tested using the Spearman's correlation between the NFOG-Q-It and the Modified Hoehn-Yahr Scale (M-H&Y). To assess construct validity, correlations among NFOG-Q-It, Movement Disorder Society-Unified Parkinson's Disease Rating Scale (MDS-UPDRS), Mini-Mental State Examination (MMSE), the Montreal Cognitive Assessment (MoCA), the Falls Efficacy Scale-International (FES-I), the 6-min Walking Test (6MWT), the Mini Balance Evaluation System Test (Mini-BESTest) and the Short Physical Performance Battery (SPPB) were investigated. RESULTS The Italian N-FOGQ had high internal consistency (Cronbach's α = 0.859). Validity analysis showed significant correlations between NFOG-Q-IT total score and M-H&Y scores (r = 0.281 p < 0.001), MDS-UPDRS (r = 0.359 p < 0.001), FES-I (r = 0.230 p = 0.002), Mini BESTest (r = -0.256 p = 0.001) and 6MWT (r = -0.166 p = 0.026). No significant correlations were found with SPPB, MOCA and MMSE. CONCLUSION The NFOG-It is a valuable and reliable tool for assessing FOG symptoms, duration and frequency in PD subjects. Results provide the validity of NFOG-Q-It by reproducing and enlarging previous psychometric data.
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Affiliation(s)
- Susanna Mezzarobba
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health, University of Genoa, Genoa, Italy
| | - Carola Cosentino
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health, University of Genoa, Genoa, Italy
| | | | - Francescaroberta Panuccio
- Department of Human Neurosciences, Sapienza University of Rome, Viale Dell'Università 30, CAP 00185, City Rome, Italy
| | - Giovanni Fabbrini
- Department of Human Neurosciences, Sapienza University of Rome, Viale Dell'Università 30, CAP 00185, City Rome, Italy
- IRCSS Neuromed, Via Atinense, 18, 86077, Pozzilli, IS, Italy
| | - Donatella Valente
- Department of Human Neurosciences, Sapienza University of Rome, Viale Dell'Università 30, CAP 00185, City Rome, Italy
- IRCSS Neuromed, Via Atinense, 18, 86077, Pozzilli, IS, Italy
| | - Stefania Costi
- Physical Medicine and Rehabilitation Unit, Azienda Unità Sanitaria Locale - IRCCS Di Reggio Emilia, Via Risorgimento 80, 42123, Reggio Emilia, Italy
- Department of Surgery, Medicine, Dentistry and Morphological Sciences, Università Di Modena E Reggio Emilia, 41100, Modena, Italy
| | - Giovanni Galeoto
- Department of Human Neurosciences, Sapienza University of Rome, Viale Dell'Università 30, CAP 00185, City Rome, Italy.
- IRCSS Neuromed, Via Atinense, 18, 86077, Pozzilli, IS, Italy.
| | - Elisa Pelosin
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health, University of Genoa, Genoa, Italy
- IRCCS, Ospedale Policlinico San Martino, Genoa, Italy
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Zhao S, Zhang L, Ji W, Shi Y, Lai G, Chi H, Huang W, Cheng C. Machine learning-based characterization of cuprotosis-related biomarkers and immune infiltration in Parkinson's disease. Front Genet 2022; 13:1010361. [PMID: 36338988 PMCID: PMC9629507 DOI: 10.3389/fgene.2022.1010361] [Citation(s) in RCA: 20] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2022] [Accepted: 10/04/2022] [Indexed: 07/22/2023] Open
Abstract
Background: Parkinson's disease (PD) is a neurodegenerative disease commonly seen in the elderly. On the other hand, cuprotosis is a new copper-dependent type of cell death that can be observed in various diseases. Methods: This study aimed to identify potential novel biomarkers of Parkinson's disease by biomarker analysis and to explore immune cell infiltration during the onset of cuprotosis. Gene expression profiles were retrieved from the GEO database for the GSE8397, GSE7621, GSE20163, and GSE20186 datasets. Three machine learning algorithms: the least absolute shrinkage and selection operator (LASSO), random forest, and support vector machine-recursive feature elimination (SVM-RFE) were used to screen for signature genes for Parkinson's disease onset and cuprotosis-related genes (CRG). Immune cell infiltration was estimated by ssGSEA, and cuprotosis-related genes associated with immune cells and immune function were examined using spearman correlation analysis. Nomogram was created to validate the accuracy of these cuprotosis-related genes in predicting PD disease progression. Classification of Parkinson's specimens using consensus clustering methods. Result: Three PD datasets from the Gene Expression Omnibus (GEO) database were combined after eliminating batch effects. By ssGSEA, we identified three cuprotosis-related genes ATP7A, SLC31A1, and DBT associated with immune cells or immune function in PD and more accurate for the diagnosis of Parkinson's disease course. Patients could benefit clinically from a characteristic line graph based on these genes. Consistent clustering analysis identified two subtypes, with the C2 subtype exhibiting higher immune cell infiltration and immune function. Conclusion: In conclusion, our study reveals that several newly identified cuprotosis-related genes intervene in the progression of Parkinson's disease through immune cell infiltration.
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Affiliation(s)
- Songyun Zhao
- Department of Neurosurgery, Wuxi People’s Hospital Affiliated to Nanjing Medical University, Wuxi, Jiangsu, China
| | - Li Zhang
- Department of Neurology, Wuxi People’s Hospital Affiliated to Nanjing Medical University, Wuxi, Jiangsu, China
| | - Wei Ji
- Department of Neurosurgery, Wuxi People’s Hospital Affiliated to Nanjing Medical University, Wuxi, Jiangsu, China
| | - Yachen Shi
- Department of Neurology, Wuxi People’s Hospital Affiliated to Nanjing Medical University, Wuxi, Jiangsu, China
| | - Guichuan Lai
- Department of Epidemiology and Health Statistics, School of Public Health, Chongqing Medical University, Chongqing, China
| | - Hao Chi
- Clinical Medicine College, Southwest Medical University, Luzhou, China
| | - Weiyi Huang
- Department of Neurosurgery, Wuxi People’s Hospital Affiliated to Nanjing Medical University, Wuxi, Jiangsu, China
| | - Chao Cheng
- Department of Neurosurgery, Wuxi People’s Hospital Affiliated to Nanjing Medical University, Wuxi, Jiangsu, China
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Li K, Zhu Y, Ning P, Bao J, Liu B, Yang H, Yin W, Xu Y, Ren H, Yang X. Development and validation of a nomogram for freezing of gait in patients with Parkinson's Disease. Acta Neurol Scand 2022; 145:658-668. [PMID: 35043400 DOI: 10.1111/ane.13583] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2021] [Revised: 12/13/2021] [Accepted: 01/06/2022] [Indexed: 02/05/2023]
Abstract
OBJECTIVES Freezing of gait (FOG) is a common and complex disabling episodic gait disturbance in patients with Parkinson's disease (PD). Currently, the treatment of FOG remains a challenge for clinicians. The aim of our study was to develop a nomogram for FOG risk based on data collected from Chinese patients with PD. MATERIALS & METHODS A total of 379 PD patients (197 with FOG) from Kunming Medical University were recruited as a training cohort. Additionally, 339 PD patients (166 with FOG) were recruited from West China Hospital of Sichuan University, to serve as the validation cohort. The least absolute shrinkage and selection operator regression model was used to select clinical and demographic characteristics as well as blood markers, which were incorporated into a predictive model using multivariate logistic regression to predict the risk of developing FOG. The model was validated using the validation dataset, and model performance was evaluated using the C-index, calibration plot, and decision curve analyses. RESULTS The final predictive model included the REM Sleep Behavior Disorder Screening Questionnaire (RBDSQ) score, Parkinson's Disease Questionnaire (PDQ39), H-Y stage, and visuospatial function. The model showed good calibration and good discrimination, with a C-index value of 0.772 against the training cohort and 0.766 against the validation cohort. Decision curve analysis demonstrated the clinical utility of the nomogram. CONCLUSION A nomogram incorporating RBDSQ, PDQ39, H-Y stage, and visuospatial function may reliably predict the risk of FOG in PD patients.
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Affiliation(s)
- Kelu Li
- Department of Geriatric Neurology First Affiliated Hospital of Kunming Medical University Kunming China
| | - Yongyun Zhu
- Department of Geriatric Neurology First Affiliated Hospital of Kunming Medical University Kunming China
| | - Pingping Ning
- Department of Neurology West China Hospital Sichuan University Chengdu China
| | - Jianjian Bao
- Department of Neurology Qujing City First People's Hospital Qujing China
| | - Bin Liu
- Department of Geriatric Neurology First Affiliated Hospital of Kunming Medical University Kunming China
- Yunnan Province Clinical Research Center for Gerontology Kunming China
| | - Hongju Yang
- Department of Geriatric Neurology First Affiliated Hospital of Kunming Medical University Kunming China
- Yunnan Province Clinical Research Center for Gerontology Kunming China
| | - Weifang Yin
- Department of Geriatric Neurology First Affiliated Hospital of Kunming Medical University Kunming China
| | - Yanming Xu
- Department of Neurology West China Hospital Sichuan University Chengdu China
| | - Hui Ren
- Department of Geriatric Neurology First Affiliated Hospital of Kunming Medical University Kunming China
- Yunnan Province Clinical Research Center for Gerontology Kunming China
| | - Xinglong Yang
- Department of Geriatric Neurology First Affiliated Hospital of Kunming Medical University Kunming China
- Yunnan Province Clinical Research Center for Gerontology Kunming China
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Zhang F, Shi J, Duan Y, Cheng J, Li H, Xuan T, Lv Y, Wang P, Li H. Clinical features and related factors of freezing of gait in patients with Parkinson's disease. Brain Behav 2021; 11:e2359. [PMID: 34551452 PMCID: PMC8613420 DOI: 10.1002/brb3.2359] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/16/2021] [Revised: 07/10/2021] [Accepted: 08/18/2021] [Indexed: 11/22/2022] Open
Abstract
BACKGROUND Freezing of gait (FOG) is a disabling paroxysmal gait disorder that prevents starting or resuming walking, which seriously negatively affects patients' quality of life (QOL). The diagnosis and treatment of FOG remain a huge medical challenge. The purpose of this study was to explore the clinical characteristics and related factors of FOG in patients with Parkinson's disease (PD). METHODS The motor and nonmotor symptoms of a total number of 77 PD patients were evaluated. Patients with or without FOG were defined as a score ≥1 in the new freezing of gait questionnaire (NFOG-Q). A comparative study between patients with and without FOG was conducted. RESULTS In this investigation, the prevalence of FOG was 48%. The patients with FOG had longer disease duration, higher Hoehn-Yahr stage (H-Y stage), higher dose of dopaminergic agents, and higher nonmotor and motor symptom scores. A significant positive correlation was found between the NFOG-Q score and the H-Y stage, PIGD subscore, PDQ-39, and the attention/memory in the nonmotor symptoms assessment scale (NMSS) subitem (r > 0.5, p < .05). The binary logistic regression analysis showed that the higher H-Y stage, higher rigidity subscore and Unified Parkinson's Disease Rating Scale II (UPDRS II) score, and UPDRS III score were significantly correlated with the occurrence of FOG (p < .05). In the analysis of the frequency of FOG, the prevalence of FOG in H-Y stage was higher in the middle and late stages, and the prevalence of FOG increased with the increase in PDQ-39 scores. CONCLUSION The severity of FOG was significantly positively correlated with the H-Y stage, PIGD subscore, PDQ-39 score, and attention/memory score. Based on our findings, we conclude that the clinical characteristics of rigidity can be used as a potential predictor of FOG.
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Affiliation(s)
- Fengting Zhang
- School of Clinical MedicineNingxia Medical UniversityYinchuanChina
- Department of NeurologyGeneral Hospital of Ningxia Medical UniversityNingxia Key Laboratory of Cerebrocranial DiseasesIncubation Base of National Key LaboratoryYinchuanChina
| | - Jin Shi
- School of Clinical MedicineNingxia Medical UniversityYinchuanChina
- Department of NeurologyGeneral Hospital of Ningxia Medical UniversityNingxia Key Laboratory of Cerebrocranial DiseasesIncubation Base of National Key LaboratoryYinchuanChina
| | - Yangyang Duan
- School of Clinical MedicineNingxia Medical UniversityYinchuanChina
- Department of NeurologyGeneral Hospital of Ningxia Medical UniversityNingxia Key Laboratory of Cerebrocranial DiseasesIncubation Base of National Key LaboratoryYinchuanChina
| | - Jiang Cheng
- Department of NeurologyGeneral Hospital of Ningxia Medical UniversityNingxia Key Laboratory of Cerebrocranial DiseasesIncubation Base of National Key LaboratoryYinchuanChina
| | - Hui Li
- Department of Computer ScienceJiangsu Ocean UniversityLianyungangChina
| | - Tingting Xuan
- School of Clinical MedicineNingxia Medical UniversityYinchuanChina
- Department of NeurologyGeneral Hospital of Ningxia Medical UniversityNingxia Key Laboratory of Cerebrocranial DiseasesIncubation Base of National Key LaboratoryYinchuanChina
| | - Yue Lv
- School of Clinical MedicineNingxia Medical UniversityYinchuanChina
- Department of NeurologyGeneral Hospital of Ningxia Medical UniversityNingxia Key Laboratory of Cerebrocranial DiseasesIncubation Base of National Key LaboratoryYinchuanChina
| | - Peng Wang
- School of Clinical MedicineNingxia Medical UniversityYinchuanChina
- Department of NeurologyGeneral Hospital of Ningxia Medical UniversityNingxia Key Laboratory of Cerebrocranial DiseasesIncubation Base of National Key LaboratoryYinchuanChina
| | - Haining Li
- Department of NeurologyGeneral Hospital of Ningxia Medical UniversityNingxia Key Laboratory of Cerebrocranial DiseasesIncubation Base of National Key LaboratoryYinchuanChina
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