3,550 results on '"Chaudhuri K"'
Search Results
2. Subcutaneous Levodopa: A New Engine for the Vintage Molecule
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Poplawska-Domaszewicz, Karolina, Batzu, Lucia, Falup-Pecurariu, Cristian, and Chaudhuri, K. Ray
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- 2024
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3. Repetitive transcranial magnetic stimulation alleviates motor impairment in Parkinson’s disease: association with peripheral inflammatory regulatory T-cells and SYT6
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Xie, Fen, Shen, Bibiao, Luo, Yuqi, Zhou, Hang, Xie, Zhenchao, Zhu, Shuzhen, Wei, Xiaobo, Chang, Zihan, Zhu, Zhaohua, Ding, Changhai, Jin, Kunlin, Yang, Chengwu, Batzu, Lucia, Chaudhuri, K Ray, Chan, Ling-Ling, Tan, Eng-King, and Wang, Qing
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- 2024
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4. Response to letter to the editor regarding “Does the 5-2-1 criteria identify patients with advanced Parkinson’s disease? Real-world screening accuracy and burden of 5-2-1-positive patients in 7 countries”
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Antonini, Angelo, Chaudhuri, K. Ray, Domingos, Josefa, Jimenez-Shahed, Joohi, Wright, Jack, Yan, Connie H., Alobaidi, Ali, Bergmann, Lars, Onuk, Koray, Harmer, Linda, and Malaty, Irene A.
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- 2024
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5. Predictors of short-term anxiety outcome in subthalamic stimulation for Parkinson’s disease
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Sauerbier, Anna, Herberg, Johanna, Stopic, Vasilija, Loehrer, Philipp A., Ashkan, Keyoumars, Rizos, Alexandra, Jost, Stefanie T., Petry-Schmelzer, Jan Niklas, Gronostay, Alexandra, Schneider, Christian, Visser-Vandewalle, Veerle, Evans, Julian, Nimsky, Christopher, Fink, Gereon R., Antonini, Angelo, Martinez-Martin, Pablo, Silverdale, Monty, Weintraub, Daniel, Schrag, Anette, Ray Chaudhuri, K., Timmermann, Lars, and Dafsari, Haidar S.
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- 2024
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6. No evidence for an association of voxel-based morphometry with short-term non-motor outcomes in deep brain stimulation for Parkinson’s disease
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Loehrer, Philipp Alexander, Schumacher, Wibke, Jost, Stefanie T., Silverdale, Monty, Petry-Schmelzer, Jan Niklas, Sauerbier, Anna, Gronostay, Alexandra, Visser-Vandewalle, Veerle, Fink, Gereon R., Evans, Julian, Krause, Max, Rizos, Alexandra, Antonini, Angelo, Ashkan, Keyoumars, Martinez-Martin, Pablo, Gaser, Christian, Ray Chaudhuri, K., Timmermann, Lars, Baldermann, Juan Carlos, and Dafsari, Haidar S.
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- 2024
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7. The PD-Ballet study: study protocol for a randomised controlled single-blind hybrid type 2 clinical trial evaluating the effects of ballet dancing on motor and non-motor symptoms in Parkinson’s disease
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Podlewska, Aleksandra M., Batzu, Lucia, Soukup, Tayana, Sevdalis, Nick, Bakolis, Ioannis, Derbyshire-Fox, Fleur, Hartley, Alison, Healey, Andy, Woods, Anthony, Crane, Nikki, Pariante, Carmine, and Ray Chaudhuri, K
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- 2024
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8. Long-term safety, tolerability and efficacy of apomorphine sublingual film in patients with Parkinson’s disease complicated by OFF episodes: a phase 3, open-label study
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Kassubek, Jan, Factor, Stewart A., Balaguer, Ernest, Schwarz, Johannes, Chaudhuri, K. Ray, Isaacson, Stuart H., Wu, Stacy, Denecke Muhr, Carmen, and Kulisevsky, Jaime
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- 2024
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9. Gastrointestinal barriers to levodopa transport and absorption in Parkinson's disease
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Leta, Valentina, Klingelhoefer, Lisa, Longardner, Katherine, Campagnolo, Marta, Levent, Hafize Çotur, Aureli, Federico, Metta, Vinod, Bhidayasiri, Roongroj, Chung‐Faye, Guy, Falup‐Pecurariu, Cristian, Stocchi, Fabrizio, Jenner, Peter, Warnecke, Tobias, Chaudhuri, K Ray, and Group, International Parkinson and Movement Disorders Society Non‐Motor Parkinson's Disease Study
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Biomedical and Clinical Sciences ,Neurosciences ,Clinical Sciences ,Parkinson's Disease ,Digestive Diseases ,Aging ,Neurodegenerative ,Brain Disorders ,2.1 Biological and endogenous factors ,Aetiology ,Neurological ,Oral and gastrointestinal ,Humans ,Levodopa ,Parkinson Disease ,Antiparkinson Agents ,Helicobacter Infections ,Helicobacter pylori ,Gastrointestinal Tract ,absorption ,constipation ,delayed gastric emptying ,diet ,dysphagia ,levodopa ,medication ,microbiota ,Parkinson's disease ,pharmacokinetics ,transport ,International Parkinson and Movement Disorders Society Non-Motor Parkinson's Disease Study Group ,Neurology & Neurosurgery ,Clinical sciences - Abstract
Levodopa is the gold standard for the symptomatic treatment of Parkinson's disease (PD). There are well documented motor and non-motor fluctuations, however, that occur almost inevitably once levodopa is started after a variable period in people with PD. Whilst brain neurodegenerative processes play a part in the pathogenesis of these fluctuations, a range of barriers across the gastrointestinal (GI) tract can alter levodopa pharmacokinetics, ultimately contributing to non-optimal levodopa response and symptoms fluctuations. GI barriers to levodopa transport and absorption include dysphagia, delayed gastric emptying, constipation, Helicobacter pylori infection, small intestinal bacterial overgrowth and gut dysbiosis. In addition, a protein-rich diet and concomitant medication intake can further alter levodopa pharmacokinetics. This can result in unpredictable or sub-optimal levodopa response, 'delayed on' or 'no on' phenomena. In this narrative review, we provided an overview on the plethora of GI obstacles to levodopa transport and absorption in PD and their implications on levodopa pharmacokinetics and development of motor fluctuations. In addition, management strategies to address GI dysfunction in PD are highlighted, including use of non-oral therapies to bypass the GI tract.
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- 2023
10. Economic Burden of Parkinson’s Disease: A Multinational, Real-World, Cost-of-Illness Study
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Chaudhuri, K. Ray, Azulay, Jean-Philippe, Odin, Per, Lindvall, Susanna, Domingos, Josefa, Alobaidi, Ali, Kandukuri, Prasanna L., Chaudhari, Vivek S., Parra, Juan Carlos, Yamazaki, Toru, Oddsdottir, Julia, Wright, Jack, and Martinez-Martin, Pablo
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- 2024
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11. A 12-month prospective real-life study of opicapone efficacy and tolerability in Emirati and non-White subjects with Parkinson’s disease based in United Arab Emirates
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Metta, Vinod, Ibrahim, Huzaifa, Muralidharan, Neha, Rodriguez, Kislyn, Masagnay, Therese, Mohan, Judith, Lacsina, Arlet, Ahmed, Abdullah, Benamer, Hani T. S., Chung-Faye, Guy, Mrudula, Rukmini, Falup-Pecurariu, Cristian, Rodriguez-Blazquez, Carmen, Borgohain, Rupam, Goyal, Vinay, Bhattacharya, Kalyan, and Chaudhuri, K. Ray
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- 2024
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12. List of contributors
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Artusi, Carlo Alberto, primary, Balachandar, Arjun, additional, Bhidayasiri, Roongroj, additional, Bordallo López, Miguel, additional, Bouça-Machado, Raquel, additional, Cacho, Ricardo, additional, Choudhury, Supriyo, additional, Del Din, Silvia, additional, Deuschl, Günther, additional, Espay, Alberto J., additional, Fasano, Alfonso, additional, Ferreira, Joaquim J., additional, Gandolfi, Marialuisa, additional, Goetz, Christopher G., additional, Imbalzano, Gabriele, additional, Kauppila, Linda Azevedo, additional, Kumar, Hrishikesh, additional, Lage Cañellas, Manuel, additional, Leitão, Mariana, additional, Leyens, Lada, additional, Maetzler, Walter, additional, Mancini, Martina, additional, Mari, Zoltan, additional, Mathur, Soania, additional, Mirelman, Anat, additional, Monje, Mariana H.G., additional, Nguyen, Le, additional, Nobbs, David, additional, Oyama, Genko, additional, Padovani, Alessandro, additional, Paul, Serene S., additional, Phokaewvarangkul, Onanong, additional, Pilotto, Andrea, additional, Prasertpan, Tittaya, additional, Ray Chaudhuri, K., additional, Rehman, Rana Zia Ur, additional, Rizzardi, Andrea, additional, Salaorni, Francesca, additional, Schönberg, Laura, additional, Simuni, Tanya, additional, Sánchez-Ferro, Álvaro, additional, Susarla, Praneeth, additional, Tinazzi, Michele, additional, Álvarez Casado, Constantino, additional, Tönges, Lars, additional, van Wamelen, Daniel J., additional, Virameteekul, Sasivimol, additional, Vizcarra, Joaquin A., additional, and Zatti, Cinzia, additional
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- 2024
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13. Technologies for identification of prodromal movement disorder phases and at-risk individuals
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van Wamelen, Daniel J., primary and Ray Chaudhuri, K., additional
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- 2024
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14. Recognition and characterising non-motor profile in early onset Parkinson's disease (EOPD)
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Poplawska-Domaszewicz, Karolina, Qamar, Mubasher A., Falup Pecurariu, Cristian, and Chaudhuri, K Ray
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- 2024
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15. Continuous Subcutaneous Foslevodopa/Foscarbidopa in Parkinson’s Disease: Safety and Efficacy Results From a 12-Month, Single-Arm, Open-Label, Phase 3 Study
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Aldred, Jason, Freire-Alvarez, Eric, Amelin, Alexander V., Antonini, Angelo, Bergmans, Bruno, Bergquist, Filip, Bouchard, Manon, Budur, Kumar, Carroll, Camille, Chaudhuri, K. Ray, Criswell, Susan R., Danielsen, Erik H., Gandor, Florin, Jia, Jia, Kimber, Thomas E., Mochizuki, Hideki, Robieson, Weining Z., Spiegel, Amy M., Standaert, David G., Talapala, Saritha, Facheris, Maurizio F., and Fung, Victor S. C.
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- 2023
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16. Non-oral continuous drug delivery based therapies and sleep dysfunction in Parkinson’s disease
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Tall, P., Qamar, M. A., Batzu, L., Leta, V., Falup-Pecurariu, C., and Ray Chaudhuri, K.
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- 2023
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17. The real-life effect of catechol-O-methyltransferase inhibition on non-motor symptoms in levodopa-treated Parkinson’s disease: opicapone versus entacapone
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Leta, Valentina, van Wamelen, Daniel J., Aureli, Federico, Metta, Vinod, Trivedi, Dhaval, Cortelli, Pietro, Rodriguez-Blazquez, Carmen, Rizos, Alexandra, and Ray Chaudhuri, K.
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- 2023
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18. Addressing ethnic disparities in neurological research in the United Kingdom: An example from the prospective multicentre COVID-19 Clinical Neuroscience Study
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van Wamelen, Daniel J., Rota, Silvia, Hartmann, Monika, Martin, Naomi H., Alam, Ali M., Thomas, Rhys H., Dodd, Katherine C., Jenkins, Thomas, Smith, Craig J., Zandi, Michael S., Easton, Ava, Carr, Georgina, Benjamin, Laura A., Lilleker, James B., Saucer, David, Coles, Alasdair J., Wood, Nicholas, Ray Chaudhuri, K., Breen, Gerome, and Michael, Benedict Daniel
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- 2024
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19. TDCS for parkinson‘s disease disease-related pain: A randomized trial
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González-Zamorano, Yeray, José Sánchez-Cuesta, Francisco, Moreno-Verdú, Marcos, Arroyo-Ferrer, Aida, Fernández-Carnero, Josué, Chaudhuri, K. Ray, Fieldwalker, Anna, and Romero, Juan Pablo
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- 2024
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20. Validation study of the Japanese version of the King's Parkinson's Disease Pain Scale and the King's Parkinson's Disease Pain Questionnaire
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Kurihara, Kanako, Fujioka, Shinsuke, Mizutani, Yasuaki, Watanabe, Hirohisa, Iwaoka, Kazuhiro, Maeda, Tetsuya, Seki, Morinobu, Tezuka, Toshiki, Nakahara, Jin, Konno, Takuya, Ishiguro, Takanobu, Onodera, Osamu, Asano, Yuri, Takahashi, Kazushi, Rizos, Alexandra, Chaudhuri, K. Ray, and Tsuboi, Yoshio
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- 2024
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21. Parkinson's disease subtypes: Approaches and clinical implications
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Deng, Xiao, Mehta, Anish, Xiao, Bin, Ray Chaudhuri, K., Tan, Eng-King, and Tan, Louis CS.
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- 2024
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22. Detecting Parkinsonian Tremor from IMU Data Collected In-The-Wild using Deep Multiple-Instance Learning
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Papadopoulos, Alexandros, Kyritsis, Konstantinos, Klingelhoefer, Lisa, Bostanjopoulou, Sevasti, Chaudhuri, K. Ray, and Delopoulos, Anastasios
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Electrical Engineering and Systems Science - Signal Processing ,Computer Science - Machine Learning - Abstract
Parkinson's Disease (PD) is a slowly evolving neuro-logical disease that affects about 1% of the population above 60 years old, causing symptoms that are subtle at first, but whose intensity increases as the disease progresses. Automated detection of these symptoms could offer clues as to the early onset of the disease, thus improving the expected clinical outcomes of the patients via appropriately targeted interventions. This potential has led many researchers to develop methods that use widely available sensors to measure and quantify the presence of PD symptoms such as tremor, rigidity and braykinesia. However, most of these approaches operate under controlled settings, such as in lab or at home, thus limiting their applicability under free-living conditions. In this work, we present a method for automatically identifying tremorous episodes related to PD, based on IMU signals captured via a smartphone device. We propose a Multiple-Instance Learning approach, wherein a subject is represented as an unordered bag of accelerometer signal segments and a single, expert-provided, tremor annotation. Our method combines deep feature learning with a learnable pooling stage that is able to identify key instances within the subject bag, while still being trainable end-to-end. We validate our algorithm on a newly introduced dataset of 45 subjects, containing accelerometer signals collected entirely in-the-wild. The good classification performance obtained in the conducted experiments suggests that the proposed method can efficiently navigate the noisy environment of in-the-wild recordings.
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- 2020
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23. Grey-matter correlates of empathy in 4-Repeat Tauopathies
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Tafuri, Benedetta, Urso, Daniele, Nigro, Salvatore, Macchitella, Luigi, De Blasi, Roberto, Ray Chaudhuri, K., and Logroscino, Giancarlo
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- 2023
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24. Author Correction: Presynaptic dopaminergic terminal imaging and non-motor symptoms assessment of Parkinson’s disease: evidence for dopaminergic basis?
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Qamar, M. A., Sauerbier, A., Politis, M., Carr, H., Loehrer, P. A., and Chaudhuri, K. Ray
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- 2023
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25. Algorithms for the diagnosis and treatment of restless legs syndrome in primary care
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Monti Giorgio, Kohnen Ralf, Högl Birgit, Chaudhuri K Ray, Gonzalez Rodríguez Victor M, Buschmann Heiner, Benes Heike, Stillman Paul, Garcia-Borreguero Diego, Stiasny-Kolster Karin, Trenkwalder Claudia, Williams Anne-Marie, and Zucconi Marco
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Neurology. Diseases of the nervous system ,RC346-429 - Abstract
Abstract Background Restless legs syndrome (RLS) is a neurological disorder with a lifetime prevalence of 3-10%. in European studies. However, the diagnosis of RLS in primary care remains low and mistreatment is common. Methods The current article reports on the considerations of RLS diagnosis and management that were made during a European Restless Legs Syndrome Study Group (EURLSSG)-sponsored task force consisting of experts and primary care practioners. The task force sought to develop a better understanding of barriers to diagnosis in primary care practice and overcome these barriers with diagnostic and treatment algorithms. Results The barriers to diagnosis identified by the task force include the presentation of symptoms, the language used to describe them, the actual term "restless legs syndrome" and difficulties in the differential diagnosis of RLS. Conclusion The EURLSSG task force reached a consensus and agreed on the diagnostic and treatment algorithms published here.
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- 2011
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26. Non-motor predictors of 36-month quality of life after subthalamic stimulation in Parkinson disease
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Jost, Stefanie T, Visser-Vandewalle, Veerle, Rizos, Alexandra, Loehrer, Philipp A, Silverdale, Monty, Evans, Julian, Samuel, Michael, Petry-Schmelzer, Jan Niklas, Sauerbier, Anna, Gronostay, Alexandra, Barbe, Michael T, Fink, Gereon R, Ashkan, Keyoumars, Antonini, Angelo, Martinez-Martin, Pablo, Chaudhuri, K Ray, Timmermann, Lars, and Dafsari, Haidar S
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Biomedical and Clinical Sciences ,Clinical Sciences ,Aging ,Brain Disorders ,Neurosciences ,Parkinson's Disease ,Clinical Research ,Rehabilitation ,Neurodegenerative ,Neurological ,EUROPAR and the International Parkinson and Movement Disorders Society Non-Motor Parkinson’s Disease Study Group ,Biological psychology ,Cognitive and computational psychology - Abstract
To identify predictors of 36-month follow-up quality of life (QoL) outcome after bilateral subthalamic nucleus deep brain stimulation (STN-DBS) in Parkinson's disease (PD). In this ongoing, prospective, multicenter international study (Cologne, Manchester, London) including 73 patients undergoing STN-DBS, we assessed the following scales preoperatively and at 6-month and 36-month follow-up: PD Questionnaire-8 (PDQ-8), NMSScale (NMSS), Scales for Outcomes in PD (SCOPA)-motor examination, -activities of daily living, and -complications, and levodopa equivalent daily dose (LEDD). We analyzed factors associated with QoL improvement at 36-month follow-up based on (1) correlations between baseline test scores and QoL improvement, (2) step-wise linear regressions with baseline test scores as independent and QoL improvement as dependent variables, (3) logistic regressions and receiver operating characteristic curves using a dichotomized variable "QoL responders"/"non-responders". At both follow-ups, NMSS total score, SCOPA-motor examination, and -complications improved and LEDD was reduced significantly. PDQ-8 improved at 6-month follow-up with subsequent decrements in gains at 36-month follow-up when 61.6% of patients were categorized as "QoL non-responders". Correlations, linear, and logistic regression analyses found greater PDQ-8 improvements in patients with younger age, worse PDQ-8, and worse specific NMS at baseline, such as 'difficulties experiencing pleasure' and 'problems sustaining concentration'. Baseline SCOPA scores were not associated with PDQ-8 changes. Our results provide evidence that 36-month QoL changes depend on baseline neuropsychological and neuropsychiatric non-motor symptoms burden. These findings highlight the need for an assessment of a wide range of non-motor and motor symptoms when advising and selecting individuals for DBS therapy.
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- 2021
27. Empagliflozin in patients admitted to hospital with COVID-19 (RECOVERY): a randomised, controlled, open-label, platform trial
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Abani, O, Abbas, A, Abbas, F, Abbas, J, Abbas, K, Abbas, M, Abbasi, S, Abbass, H, Abbott, A, Abdallah, N, Abdelaziz, A, Abdelfattah, M, Abdelqader, B, Abdul, A, Abdul, B, Abdul, S, Abdul Rasheed, A, Abdulakeem, A, Abdul-Kadir, R, Abdullah, A, Abdulmumeen, A, Abdul-Raheem, R, Abdulshukkoor, N, Abdusamad, K, Abed El Khaleq, Y, Abedalla, M, Abeer Ul Amna, A, Abel, L, Abernethy, K, Abeywickrema, M, Abhinaya, C, Abidin, A, Aboaba, A, Aboagye-Odei, A, Aboah, C, Aboelela, H, Abo-Leyah, H, Abouelela, K, Abou-Haggar, A, Abouibrahim, M, Abousamra, A, Abouzaid, M, Abraham, M, Abraham, T, Abraheem, A, Abrams, J, Abrams, R, Abu, HJ, Abu-Arafeh, A, Abubacker, SM, Abung, A, Abusamra, Y, Aceampong, Y, Achara, A, Acharya, D, Acheampong, F, Acheampong, P, Acheampong, S, Acheson, J, Achieng, S, Acosta, A, Acquah, R, Acton, C, Adabie-Ankrah, J, Adair, P, Adam, AS, Adam, F, Adam, M, Adamali, H, Adamczyk, M, Adams, C, Adams, D, Adams, K, Adams, L, Adams, N, Adams, R, Adams, T, Adamu-Ikeme, L, Adatia, K, Adcock, K, Addai-Boampong, L, Addo, A, Adeagbo, O, Adebiyi, A, Adedeji, O, Adegeye, Y, Adegoke, K, Adell, V, Adenwalla, S, Adeoye, FW, Adesemoye, OA, Adewunmi, EO, Adeyanju, A, Adeyemi, J, Adeyemo, T, Adhikari, B, Adhikari, SA, Adhikary, R, Aditya, A, Adjepong, P, Adkins, G, Adnan, A, Adriaanse, M, Aeron-Thomas, J, Affleck, D, Afnan, C, Afridi, M, Afrim, P, Afriyie, FA, Aftab, ZA, Afum-Adjei Awuah, A, Agarwal, M, Agasiya, PN, Agbeko, R, Agbo, C, Aggarwal, S, Aghababaie, A, Aguilar Jimenez, L, Agyekum, JA, Agyen, K, Ahadome, EK, Ahamed Sadiq, S, Ahammed Nazeer, MH, Ahmad, M, Ahmad, S, Ahmed, A, Ahmed, BAR, Ahmed, B, Ahmed, F, Ahmed, H, Ahmed, I, Ahmed, K, Ahmed, L, Ahmed, M, Ahmed, MC, Ahmed, MS, Ahmed, N, Ahmed, O, Ahmed, RA, Ahmed, R, Ahmed, S, Ahmed, SG, Ahmed, SH, Ahmed Ali, R, Ahmed Mohamud, B, Ahmer, S, Ahonia, A, Aidoo, C, Aiken, C, Ail, D, Ainsworth, M, Aissa, M, Aitken, L, Ajay, B, Ajibode, A, Ajmi, A, Akhtar, N, Akili, S, Akinbiyi, B, Akindolie, O, Akinfenwa, Y, Akinkugbe, O, Akinpelu, I, Akram, M, Aktinade, O, Akudi, U, Al Aaraj, ASAR, Al Balushi, A, Al Dakhola, M, Al Swaifi, A, Al-Abadi, E, Alabi, A, Aladangady, N, Alafifi, M, Alam, A, Alam, S, Al-Asadi, A, Alatzoglou, K, Albert, P, Albertus, A, Albon, L, Alcala, A, Alcorn, G, Alcorn, S, Aldana, A, Alderdice, D, Aldesouki, A, Aldouri, R, Aldridge, J, Aldridge, N, Ale, RM, Alegria, A, Alexander, A, Alexander, C, Alexander, J, Alexander, PDG, Al-fori, J, Alghazawi, L, Alhabsha, O, Al-Hakim, B, Alhameed, R, Al-Hayali, M, Al-Hity, S, Ali, A, Ali, FR, Ali, J, Ali, M, Ali, MS, Ali, N, Ali, O, Ali, R, Ali, S, Aliberti, E, Alin, J, Alina, A, Alipustain, A, Alisjahbana, B, Aliyuda, F, Alizadeh, K, Al-Jibury, M, Al-Juboori, S, Al-Khalil, M, Alkhudhayri, A, Alkhusheh, M, Allan, F, Allan, N, Allanson, A, Allcock, R, Allen, E, Allen, J, Allen, K, Allen, L, Allen, P, Allen, R, Allen, S, Allen, T, Alli, A, Allison, K, Allman, B, Allsop, HK, Allsop, L, Allsup, D, Almahroos, AFT, Al-Moasseb, H, Al-Obaidi, M, Alomari, L, Al-Rabahi, A, Al-Ramadhani, B, Al-Saadi, Z, Al-Sammarraie, R, Alshaer, I, Al-Shahi Salman, R, Al-Shamkhani, W, Alsheikh, F, Al-Sheklly, B, Altaf, S, Alty, A, Alvarez, M, Alvarez Corral, M, Alveyn, E, Alzetani, M, Amamou, S, Amar, N, Ambalavanan, S, Ambrogetti, R, Ambrose, C, Ameen, A, Amelia Ganefianty, A, Ames, K, Amezaga, MR, Amin, A, Amin, K, Amin, S, Amin, T, Amit, B, Amjad, A, Amjad, N, Amoah-Dankwa, J, Amoako-Adusei, A, Amosun, V, Amsal, M, Amsha, K, Amuasi, J, Amutio Martin, N, Amy, P, Anada, A, Anand, A, Anandappa, S, Anantapatnaikuni, SD, Andari, NKN, Anderson, E, Anderson, J, Anderson, L, Anderson, M, Anderson, N, Anderson, R, Anderson, S, Anderson, W, Andreou, P, Andrews, A, Andrews, J, Aneke, K, Ang, A, Ang, WW, Angel, T, Angela, A, Angelini, P, Anguvaa, L, Anichtchik, O, Anim-Somuah, M, Aniruddhan, K, Annett, J, Anning, L, Ansah, M, Anstey, PJ, Anstey, R, Anthony, A, Anthony-Pillai, A, Antill, P, Antonina, Z, Anu, V, Anwar, M, Anwar, S, Apetri, E, Apostolopoulos, A, Appleby, S, Appleyard, D, Aquino, MF, Araba, B, Aransiola, S, Araujo, M, Archer, A, Archer, D, Archer, S, Arcoria, D, Ardley, C, Arhin-Sam, G, Arias, A-M, Aribike, O, Arimoto, R, Arisanti, NLPE, Arkley, C, Armah, C, Armata, I, Armistead, J, Armitage, A, Armstrong, C, Armstrong, M, Armstrong, S, Armstrong, W, Armtrong, P, Arndt, H, Arnison-Newgass, C, Arnold, D, Arnold, R, Arnott, A, Arora, D, Arora, K, Arora, P, Arora, R, Arter, A, Arthur, A, Artini, NM, Arumaithurai, A, Arya, A, Arya, R, Aryal, D, Asandei, D, Asare, GA, Asghar, A, Asghar, M, Ashab, A, Ashbrook-Raby, C, Ashby, H, Ashcroft, J, Ashcroft, S, Asher, G, Ashfak, Z, Ashfaq, A, Asiamah, HA, Ashish, A, Ashley, D, Ashman-Flavell, S, Ashok, S, Ashour, A-E-A, Ashraf, MZ, Ashraf, S, Ashraq, MB, Ashton, D, Ashton, S, Ashworth, A, Ashworth, FJ, Ashworth, R, Aslam, A, Aslam, I, Aslam, S, Aslett, L, Asogan, H, Asrar, A, Assaf, O, Astin-Chamberlain, R, Atabudzi, YE, Athavale, P, Athorne, D, Atkins, B, Atkins, C, Atkins, S, Atkinson, J, 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Vancheeswaran, R, Vandeyoon, SI, Vankayalapati, P, Vanmali, P, Vansomeren, C, Van't Hoff, W, Vanya, KN, Vara, S, Vardy, SJ, Varghese, A, Varghese, M, Varney, W, Varnier, G, Varouxaki, A-N, Varquez, R, Vasadi, V, Vass, O, Vassell, K, Vasu, V, Vasudevan, V, Vatish, M, Vaughan, S, Vayalaman, H, Vayapooree, D, Vaz, C, Veale, N, Veerasamy, S, Velankar, S, Velauthar, L, Veli, N, Vella, N, Velugupati, A, Velusamy, A, Venables, I, Venditti, M, Venkataramakrishnan, R, Venn, R, Venter, M, Ventilacion, L, Vere, J, Veres, M, Vergnano, S, Verling, W, Verma, A, Vernall, R, Vernon, B, Vertue, M, Verueco, L, Verula, J, Veterini, A, Vethanayagam, N, Vettikumaran, S, Veys, L, Vickers, C, Victor, S, Victoria, S, Vidaillac, CP, Vidler, J, Vijayakumar, B, Vijayaraghavan Nalini, VW, Vilcinskaite, B, Vileito, A, Vilimiene, N, Vinall, L, Vinay, S, Vinayakarao, L, Vincent, O, Vincent, R, Virdee, P, Virgilio, E, Virk, AM, Visentin, E, Vitaglione, M, Vithian, K, Vittoria, S, Vivekananthan, S, Vlad, E, Vlies, B, von Oven, L, Vooght, C, Vu Thai, KT, Vutipongsatorn, K, Vuylsteke, A, Vyras, E, Wach, R, Wadams, B, Wadd, S, Waddington, N, Wade, P, Wadsley, J, Wadsworth, K, Wafa, SEI, Wagstaff, D, Wagstaff, L, Wahab, D, Wahbi, Z, Waheed Adigun, A, Waidyanatha, S, Waite, A, Wake, R, Wakefield, A, Wakeford, W, Wakinshaw, F, Waldeck, E, Walden, A, Walding, L, Waldron, A, Waldron, J, Wales, E, Wali, B, Walker, D, Walker, G, Walker, H, Walker, I, Walker, K, Walker, L, Walker, O, Walker, R, Walker, S, Wallace, G, Wallbutton, R, Wallen, J, Wallendszus, K, Waller, A, Waller, R, Wallis, G, Wallis, L, Wallis, M, Walmsley, E, Walsh, D, Walsh, E, Walsh, L, Walstow, D, Walter, D, Walters, A, Walters, H, Walters, J, Walton, E, Walton, L, Walton, M, Walton, O, Walton, S, Wan, M, Wanda, J, Wands, M, Wane, R, Wang, F, Wang, N, Wang, R, Wang, S, Warbrick, D, Warburton, S, Ward, C, Ward, D, Ward, E, Ward, H, Ward, J, Ward, L, Ward, N, Ward, R, Ward, T, Warden, SA, Wardere, G, Wardle, S, Wardy, H, Waring, G, Waring, S, Warmington, J, Warner, B, Warner, C, Warnock, L, Warran, S, Warren, J, Warren, L, Warren, R, Warren, Y, Warrender, D, Warren-Miell, H, Warris, A, Warwick, G, Wassall, H, Wasserman, S, Wasson, E, Watchorn, HJ, Waterfall, H, Waters, A, Waters, D, Waterstone, M, Watkin, A, Watkins, C, Watkins, E, Watkins, K, Watkins, L, Watson, A, Watson, AJR, Watson, E, Watson, F, Watson, JGR, Watson, L, Watson, P, Watson, R, Watson, K, Watters, M, Watterson, D, Wattimena, K, Watts, D, Watts, J, Watts, M, Waugh, V, Wayman, E, Wayman, M, Wazir, A, Weatherhead, M, Weatherly, N, Webb, C, Webb, H, Webb, K, Webb, S, Websdale, C, Webster, D, Webster, I, Webster, J, Webster, T, Wedlin, J, Wee, L, Weerakoon, R, Weerasinghe, T, Weeratunga, J, Weetman, M, Wei, S, Weichert, I, Welch, E, Welch, H, Welch, J, Welch, L, Welch, S, Welham, B, Weller, S, Wellings, L, Wells, B, Wellstead, S, Welsh, B, Welsh, R, Welters, I, Welton, R, Wenn, V, Wentworth, L, Wesonga, J, Wesseldine, K, West, J, West, M, West, R, West, S, Western, L, Westhead, R, Weston, H, Westwood, A, Westwood, K, Westwood, S, Wetherill, B, Wheaver, S, Wheeler, H, Whelan, B, Whelband, M, Whileman, A, Whitcher, A, White, A, White, B, White, C, White, D, White, J, White, K, White, M, White, N, White, S, White, T, Whitehead, C, Whitehorn, K, Whitehouse, A, Whitehouse, C, Whitehouse, T, Whiteley, J, Whiteley, L, Whiteley, S, Whitham, R, Whitlingum, G, Whitmore, D, Whittaker, E, Whittam, L, Whittington, A, Whittle, H, Whittle, R, Wiafe, E, Wiblin, L, Wickens, O, Widdrington, J, Wieboldt, J, Wieringa, H, Wiesender, C, Wiffen, L, Wight, A, Wignall, A, Wignall, C, Wilce, A, Wilcock, D, Wilcock, E, Wilcox, L, Wild, B, Wild, L, Wild, S, Wilde, M, Wilding, L, Wilding, P, Wildsmith, T, Wileman, J, Wiles, J, Wiles, K, Wilhelmsen, E, Wiliams, T, Wilkie, J, Wilkin, D, Wilkins, H, Wilkins, J, Wilkins, S, Wilkinson, I, Wilkinson, L, Wilkinson, N, Wilkinson, S, Wilkinson, T, Willetts, S, Williams, A, Williams, C, Williams, CV, Williams, D, Williams, E, Williams, G, Williams, H, Williams, J, Williams, K, Williams, M, Williams, P, Williams, R, Williams, S, Williams, T, Williamson, A, Williamson, C, Williamson, D, Williamson, J, Williamson, JD, Williamson, R, Williamson, H, Willis, E, Willis, H, Willis, J, Wills, L, Willsher, L, Willshire, C, Willson, F, Willson, J, Wilson, A, Wilson, B, Wilson, D, Wilson, I, Wilson, J, Wilson, K, Wilson, K-A, Wilson, L, Wilson, M, Wilson, S, Wilson, T, Win, KLY, Win, M, Win, T, Win, TT, Win, WYW, Winckworth, L, Winder, L, Winder, P, Winearl, S, Winmill, H, Winn, S, Winpenny, C, Winslow, H, Winter, H, Winter, J, Winter-Goodwin, B, Winterton, J, Winwood, H, Wischhusen, J, Wisdom, S, Wise, M, Wiselka, M, Wiseman, R, Wiseman, S, Wishart, S, WIshlade, T, Witele, E, Withers, N, Wittes, J, Wixted, D, Wodehouse, T, Wolf, W, Wolff, N, Wolffsohn, K, Wolf-Roberts, R, Wolodimeroff, E, Wolstencroft, A, Wong, A, Wong, C, Wong, C-H, Wong, C-M, Wong, E, Wong, JSY, Wong, KY, Wong, MY, Wong, N, Wong, S, Wong, T, Wongkyezeng, AA, Wood, A, Wood, C, Wood, D, Wood, F, Wood, G, Wood, H, Wood, J, Wood, L, Wood, M, Wood, S, Wood, T, Woodall, K, Woodfield, R, Woodford, C, Woodford, E, Woodford, J, Woodhead, L, Woodhead, T, Woodland, P, Woodman, M, Woodmansey, S, Woods, C, Woods, J, Woods, K, Woods, S, Woodward, Z, Woolcock, M, Wooldridge, G, Woolf, R, Woollard, C, Woollen, L, Woolley, E, Woolley, J, Woosey, D, Wootton, D, Wootton, J, Worley, D, Worton, S, Wraight, J, Wray, M, Wren, K, Wren, L, Wrey Brown, C, Wright, C, Wright, D, Wright, F, Wright, H, Wright, I, Wright, L, Wright, R, Wright, S, Wright, T, Wroe, C, Wroe, H, Wu, H, Wu, P, Wubetu, J, Wulandari, F, Wulandari, R, Wurie, S, Wyatt, C, Wyn-Griffiths, F, Wynter, I, Xavier, B, Xhikola, A, Xia, BE, Xia, Z, Yacoba, E, Yadav, S, Yakubi, M, Yan, M, Yanagisawa, Y, Yang, F, Yang, Y, Yanney, M, Yap, WL, Yaqoob, N, Yasmin, S, Yates, B, Yates, D, Yates, E, Yates, H, Yates, T, Yates, M, Ye, J, Yearwood Martin, C, Yein, K, Yelnoorkar, F, Yen, LM, Yeoh, A, Yeung, CY, Yew, P, Yewatkar, D, Ylquimiche Melly, L, Ynter, I, Yong, H, Yorke, J, Youens, J, Younes Ibrahim, A, Young, E, Young, G, Young, L, Yousafzar, A, Youssouf, S, Yousuf, A, Yovita, H, Yu, C, Yuan, JSJ, Yufaniaputri, N, Yung, B, Yusef, D, Yusef, S, Yusuf, I, Zafar, A-S, Zagalo, S, Zaher, S, Zahoor, A, Zainab, M, Zak, T, Zaki, K, Zakir, N, Zalewska, K, Zamalloa, A, Zaman, M, Zaman, S, Zamikula, J, Zammit, L, Zammit-Mangion, M, Zawadzka, M, Zayed, M, Zebracki, E, Zehnder, D, Zeidan, L, Zeinali, D, Zhang, J, Zhao, X, Zheng, D, Zhu, D, Zia, M, Zibdeh, O, Zill-E-Huma, R, Zin, ET, Zincone, E, Zindoga, G, Zinkin, E, Zinyemba, V, Zipitis, C, Zitter, L, Zmierczak, A, Zubikarai, G, Zubir, A, Zuhra, N, Zulaikha, R, Zulfikar, S, Zullo, C, and Zuriaga-Alvaro, A
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- 2023
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28. Correction: Continuous Subcutaneous Foslevodopa/Foscarbidopa in Parkinson’s Disease: Safety and Efficacy Results From a 12-Month, Single-Arm, Open-Label, Phase 3 Study
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Aldred, Jason, Freire-Alvarez, Eric, Amelin, Alexander V., Antonini, Angelo, Bergmans, Bruno, Bergquist, Filip, Bouchard, Manon, Budur, Kumar, Carroll, Camille, Chaudhuri, K. Ray, Criswell, Susan R., Danielsen, Erik H., Gandor, Florin, Jia, Jia, Kimber, Thomas E., Mochizuki, Hideki, Robieson, Weining Z., Spiegel, Amy M., Standaert, David G., Talapala, Saritha, Facheris, Maurizio F., and Fung, Victor S. C.
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- 2023
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29. Increased basal forebrain volumes could prevent cognitive decline in LRRK2 Parkinson's disease
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Batzu, Lucia, Urso, Daniele, Grothe, Michel J., Veréb, Dániel, Chaudhuri, K. Ray, and Pereira, Joana B.
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- 2023
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30. Clinical trials for cognition in Parkinson's disease: Where are we and how can we do better?
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Bayram, Ece, Batzu, Lucia, Tilley, Bension, Gandhi, Rhea, Jagota, Priya, Biundo, Roberta, Garon, Michela, Prasertpan, Tittaya, Lazcano-Ocampo, Claudia, Chaudhuri, K. Ray, and Weil, Rimona S.
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- 2023
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31. Grey matter volume loss in Parkinson’s disease psychosis and its relationship with serotonergic gene expression: A meta-analysis
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Pisani, Sara, Gunasekera, Brandon, Lu, Yining, Vignando, Miriam, ffytche, Dominic, Aarsland, Dag, Chaudhuri, K. Ray, Ballard, Clive, Lee, Jee-Young, Kim, Yu Kyeong, Velayudhan, Latha, and Bhattacharyya, Sagnik
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- 2023
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32. Non-motor effects of deep brain stimulation in Parkinson's disease motor subtypes
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Jost, Stefanie T., Konitsioti, Agni, Loehrer, Philipp A., Ashkan, Keyoumars, Rizos, Alexandra, Sauerbier, Anna, dos Santos Ghilardi, Maria Gabriela, Rosenkranz, Franz, Strobel, Lena, Gronostay, Alexandra, Barbe, Michael T., Evans, Julian, Visser-Vandewalle, Veerle, Nimsky, Christopher, Fink, Gereon R., Silverdale, Monty, Cury, Rubens G., Fonoff, Erich T., Antonini, Angelo, Chaudhuri, K. Ray, Timmermann, Lars, Martinez-Martin, Pablo, and Dafsari, Haidar S.
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- 2023
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33. Comparative Effectiveness of Device-Aided Therapies on Quality of Life and Off-Time in Advanced Parkinson’s Disease: A Systematic Review and Bayesian Network Meta-analysis
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Antonini, Angelo, Pahwa, Rajesh, Odin, Per, Isaacson, Stuart H., Merola, Aristide, Wang, Lin, Kandukuri, Prasanna L., Alobaidi, Ali, Yan, Connie H., Bao, Yanjun, Zadikoff, Cindy, Parra, Juan Carlos, Bergmann, Lars, and Chaudhuri, K. Ray
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- 2022
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34. Neurofilament light predicts worse nonmotor symptoms and depression in Parkinson's disease
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Urso, Daniele, Batzu, Lucia, Logroscino, Giancarlo, Chaudhuri, K. Ray, and Pereira, Joana B.
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- 2023
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35. Viruses, parkinsonism and Parkinson’s disease: the past, present and future
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Leta, Valentina, Urso, Daniele, Batzu, Lucia, Lau, Yue Hui, Mathew, Donna, Boura, Iro, Raeder, Vanessa, Falup-Pecurariu, Cristian, van Wamelen, Daniel, and Ray Chaudhuri, K.
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- 2022
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36. Implications of dopaminergic medication withdrawal in Parkinson’s disease
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Koschel, J., Ray Chaudhuri, K., Tönges, L., Thiel, M., Raeder, V., and Jost, W. H.
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- 2022
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37. Tolerability of overnight rotigotine transdermal patch combined with intrajejunal levodopa infusion at 1 year: a 24-h treatment option in Parkinson’s disease
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Lau, Yue Hui, Leta, Valentina, Rukavina, Katarina, Parry, Miriam, Ann Natividad, Jenny, Metta, Vinod, Chung-Faye, Guy, and Chaudhuri, K. Ray
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- 2022
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38. The Cost Effectiveness of Levodopa-Carbidopa Intestinal Gel in the Treatment of Advanced Parkinson’s Disease in England
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Chaudhuri, K. Ray, Pickard, A. Simon, Alobaidi, Ali, Jalundhwala, Yash J., Kandukuri, Prasanna L., Bao, Yanjun, Sus, Julia, Jones, Glynn, Ridley, Christian, Oddsdottir, Julia, Najle-Rahim, Seyavash, Madin-Warburton, Matthew, Xu, Weiwei, and Schrag, Anette
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- 2022
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39. Frailty in Parkinson's disease and its association with early dementia: A longitudinal study
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Borda, Miguel Germán, Pérez‐Zepeda, Mario Ulises, Jaramillo-Jimenez, Alberto, Chaudhuri, K. Ray, Tovar-Rios, Diego Alejandro, Wallace, Lindsay, Batzu, Lucia, Rockwood, Kenneth, Tysnes, Ole-Bjørn, Aarsland, Dag, and Alves, Guido
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- 2022
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40. New approaches to treatments for sleep, pain and autonomic failure in Parkinson's disease - Pharmacological therapies
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Rukavina, Katarina, Batzu, Lucia, Leta, Valentina, and Chaudhuri, K Ray
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- 2022
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41. Validation Study of the Parkinson's Disease Stigma Questionnaire (PDStigmaQuest).
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Stopic, Vasilija, Jost, Stefanie T., Haupt, Julius, Brandt, Gregor A., van der Linden, Christina, Petry-Schmelzer, Jan Niklas, Dembek, Till A., Fink, Gereon R., Batzu, Lucia, Rizos, Alexandra, Chaudhuri, K. Ray, Dafsari, Haidar S., Gruber, Doreen, Ebersbach, Georg, Kessler, Josef, Barbe, Michael T., and Sauerbier, Anna
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EXPLORATORY factor analysis ,PARKINSON'S disease ,CRONBACH'S alpha ,PSYCHOMETRICS ,MISSING data (Statistics) - Abstract
Background: Stigma is a relevant aspect of Parkinson's disease (PD). Specific stigma tools are needed to address the complex construct of stigma in PD comprehensively. Objective: To test the dimensionality and psychometric properties of the newly developed Parkinson's Disease Stigma Questionnaire (PDStigmaQuest). Methods: In this multi-center, cross-sectional study including PD patients and healthy controls, the dimensionality of the PDStigmaQuest was examined through exploratory factor analysis. Acceptability and psychometric properties were investigated. PDStigmaQuest scores of patients and healthy controls were compared. Results: In total, 201 PD patients and 101 healthy controls were included in the final analysis. Results suggested high data quality of the PDStigmaQuest (0.0001% missing data for patients). The exploratory factor analysis produced four factors: felt stigma, hiding, enacted stigma: rejection, and enacted stigma: patronization, explaining 47.9% of variance. An optional work domain for employed patients was included. Moderate floor effects and skewness, but no ceiling effects were found. Cronbach's alpha of 0.85 indicated high internal consistency. Calculated item-total correlations met standard criteria. Test-retest reliability was high (r
s = 0.83). PDStigmaQuest scores correlated significantly with other stigma measures (rs = 0.56–0.69) and were significantly higher in patients than in healthy controls and higher in patients with depressive symptoms than in those without. Conclusions: The patient-reported 18-item PDStigmaQuest showed strong psychometric properties of validity and reliability. Our results suggest that the PDStigmaQuest can be used to assess and evaluate stigma comprehensively in PD, which will improve our understanding of the construct of PD stigma. [ABSTRACT FROM AUTHOR]- Published
- 2024
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42. Subthalamic Stimulation Improves Short-Term Satisfaction with Life and Treatment in Parkinson's Disease.
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Sauerbier, Anna, Bachon, Pia, Ambrosio, Leire, Loehrer, Philipp A., Rizos, Alexandra, Jost, Stefanie T., Gronostay, Alexandra, Fink, Gereon R., Ashkan, Keyoumars, Nimsky, Christopher, Visser-Vandewalle, Veerle, Chaudhuri, K. Ray, Timmermann, Lars, Martinez-Martin, Pablo, and Dafsari, Haidar S.
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SATISFACTION ,PATIENT satisfaction ,LIFE satisfaction ,DEEP brain stimulation ,PARKINSON'S disease - Abstract
The effect of subthalamic stimulation (STN-DBS) on patients' personal satisfaction with life and their Parkinson's disease (PD) treatment is understudied, as is its correlation with quality of life (QoL). Therefore, we tested the hypothesis that STN-DBS for PD enhances satisfaction with life and treatment. In a prospective, multicenter study with a 6-month follow-up involving 121 patients, we measured the main outcomes using the Satisfaction with Life and Treatment Scale (SLTS-7). Secondary outcomes included the eight-item PD Questionnaire (PDQ-8), European QoL Questionnaire (EQ-5D-3L), EQ-Visual Analogue Scale (VAS), Non-Motor Symptom Scale (NMSS), Hospital Anxiety and Depression Scale (HADS), and Unified PD Rating Scale (UPDRS). Longitudinal outcome changes, effect sizes (Cohen's d), and correlations between outcome changes were analyzed. SLTS-7 scores improved at the 6-month follow-up, particularly in the domains of 'satisfaction with physical health' and 'satisfaction with treatment'. Change scores correlated strongly (EQ-VAS), moderately (PDQ-8 SI and HADS), and weakly (UPDRS-activities of daily living and EQ-5D-3L) with other scales. Satisfaction with physical health, psychosocial well-being, or treatment was not related to UPDRS-motor examination. This study provides evidence that STN-DBS enhances patients' personal satisfaction with life and treatment. This satisfaction is associated with improvements in the QoL, daily activities, and neuropsychiatric aspects of PD rather than its motor aspects. [ABSTRACT FROM AUTHOR]
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- 2024
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43. Psychometric Properties of Clinical Indicators for Identification and Management of Advanced Parkinson’s Disease: Real-World Evidence From G7 Countries
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Antonini, Angelo, Pahwa, Rajesh, Odin, Per, Henriksen, Tove, Soileau, Michael J., Rodriguez-Cruz, Ramon, Isaacson, Stuart H., Merola, Aristide, Lindvall, Susanna, Domingos, Josefa, Alobaidi, Ali, Jalundhwala, Yash J., Kandukuri, Prasanna L., Parra, Juan Carlos, Kukreja, Pavnit K., Onuk, Koray, Bergmann, Lars, Pike, James, and Ray Chaudhuri, K.
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- 2022
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44. Disentangling the PIGD classification for the prediction of cognitive impairment in de novo Parkinson’s disease
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Urso, Daniele, Leta, Valentina, Batzu, Lucia, Yousaf, Tayyabah, Farrell, Chloe, van Wamelen, Daniel J., and Ray Chaudhuri, K.
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- 2022
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45. Gastrointestinal dysfunction in Parkinson’s disease: molecular pathology and implications of gut microbiome, probiotics, and fecal microbiota transplantation
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Metta, Vinod, Leta, Valentina, Mrudula, Kandadai Rukmini, Prashanth, L. K., Goyal, Vinay, Borgohain, Rupam, Chung-Faye, Guy, and Chaudhuri, K. Ray
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- 2022
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46. Opicapone versus placebo in the treatment of Parkinson’s disease patients with end-of-dose motor fluctuation-associated pain: rationale and design of the randomised, double-blind OCEAN (OpiCapone Effect on motor fluctuations and pAiN) trial
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Chaudhuri, K. Ray, Odin, Per, Ferreira, Joaquim J., Antonini, Angelo, Rascol, Olivier, Kurtis, Mónica M., Storch, Alexander, Bannister, Kirsty, Soares-da-Silva, Patrício, Costa, Raquel, Magalhães, Diogo, and Rocha, José Francisco
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- 2022
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47. Clinical trajectories and biomarkers for weight variability in early Parkinson’s disease
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Urso, Daniele, van Wamelen, Daniel J., Batzu, Lucia, Leta, Valentina, Staunton, Juliet, Pineda-Pardo, José A., Logroscino, Giancarlo, Sharma, Jagdish, and Ray Chaudhuri, K.
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- 2022
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48. Gender gap in deep brain stimulation for Parkinson’s disease
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Jost, Stefanie T., Strobel, Lena, Rizos, Alexandra, Loehrer, Philipp A., Ashkan, Keyoumars, Evans, Julian, Rosenkranz, Franz, Barbe, Michael T., Fink, Gereon R., Franklin, Jeremy, Sauerbier, Anna, Nimsky, Christopher, Sattari, Afsar, Ray Chaudhuri, K., Antonini, Angelo, Timmermann, Lars, Martinez-Martin, Pablo, Silverdale, Monty, Kalbe, Elke, Visser-Vandewalle, Veerle, and Dafsari, Haidar S.
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- 2022
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49. Restricted truncal sagittal movements of rapid eye movement behaviour disorder
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Wasserman, Danielle, Gullone, Silvia, Duncan, Iain, Veronese, Mattia, Gnoni, Valentina, Higgins, Sean, Birdseye, Adam, Gelegen, Emine Cigdem, Goadsby, Peter J., Ashkan, Keyoumars, Ray Chaudhuri, K., Tononi, Giulio, Drakatos, Panagis, and Rosenzweig, Ivana
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- 2022
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50. Plasma p-tau181, neurofilament light chain and association with cognition in Parkinson’s disease
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Batzu, Lucia, Rota, Silvia, Hye, Abdul, Heslegrave, Amanda, Trivedi, Dhaval, Gibson, Lucy L., Farrell, Chloe, Zinzalias, Pavlos, Rizos, Alexandra, Zetterberg, Henrik, Chaudhuri, K. Ray, and Aarsland, Dag
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- 2022
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