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Jost ST, Kaldenbach MA, Antonini A, Martinez-Martin P, Timmermann L, Odin P, Katzenschlager R, Borgohain R, Fasano A, Stocchi F, Hattori N, Kukkle PL, Rodríguez-Violante M, Falup-Pecurariu C, Schade S, Petry-Schmelzer JN, Metta V, Weintraub D, Deuschl G, Espay AJ, Tan EK, Bhidayasiri R, Fung VSC, Cardoso F, Trenkwalder C, Jenner P, Ray Chaudhuri K, Dafsari HS. Levodopa Dose Equivalency in Parkinson's Disease: Updated Systematic Review and Proposals. Mov Disord 2023. [PMID: 37147135 DOI: 10.1002/mds.29410] [Citation(s) in RCA: 63] [Impact Index Per Article: 63.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2022] [Revised: 03/07/2023] [Accepted: 03/29/2023] [Indexed: 05/07/2023] Open
Abstract
BACKGROUND To compare drug regimens across clinical trials in Parkinson's disease (PD) conversion formulae between antiparkinsonian drugs have been developed. These are reported in relation to levodopa as the benchmark drug in PD pharmacotherapy as 'levodopa equivalent dose' (LED). Currently, the LED conversion formulae proposed in 2010 by Tomlinson et al. based on a systematic review are predominantly used. However, new drugs with established and novel mechanisms of action and novel formulations of longstanding drugs have been developed since 2010. Therefore, consensus proposals for updated LED conversion formulae are needed. OBJECTIVES To update LED conversion formulae based on a systematic review. METHODS The MEDLINE, CENTRAL, and Embase databases were searched from January 2010 to July 2021. Additionally, in a standardized process according to the GRADE grid method, consensus proposals were issued for drugs with scarce data on levodopa dose equivalency. RESULTS The systematic database search yielded 3076 articles of which 682 were eligible for inclusion in the systematic review. Based on these data and the standardized consensus process, we present proposals for LED conversion formulae for a wide range of drugs that are currently available for the pharmacotherapy of PD or are expected to be introduced soon. CONCLUSIONS The LED conversion formulae issued in this Position Paper will serve as a research tool to compare the equivalence of antiparkinsonian medication across PD study cohorts and facilitate research on the clinical efficacy of pharmacological and surgical treatments as well as other non-pharmacological interventions in PD. © 2023 The Authors. Movement Disorders published by Wiley Periodicals LLC on behalf of International Parkinson and Movement Disorder Society.
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Affiliation(s)
- Stefanie T Jost
- Department of Neurology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Marie-Ann Kaldenbach
- Department of Neurology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Angelo Antonini
- Parkinson and Movement Disorders Unit, Department of Neurosciences (DNS), University of Padua, Padova, Italy
| | - Pablo Martinez-Martin
- Center for Networked Biomedical Research in Neurodegenerative Diseases (CIBERNED), Carlos III Institute of Health, Madrid, Spain
| | - Lars Timmermann
- Department of Neurology, University Hospital Giessen and Marburg, Marburg, Germany
| | - Per Odin
- Division of Neurology, Lund University, Lund, Sweden
- Department of Neurology, Skåne University Hospital, Lund, Sweden
| | - Regina Katzenschlager
- Department of Neurology, Karl Landsteiner Institute for Neuroimmunological and Neurodegenerative Disorders at Klinik Donaustadt, Vienna, Austria
| | - Rupam Borgohain
- Department of Neurology, Nizam's Institute of Medical Sciences, Hyderabad, India
| | - Alfonso Fasano
- Edmond J. Safra Program in Parkinson's Disease, Morton and Gloria Shulman Movement Disorders Clinic, Toronto Western Hospital-University Health Network (UHN), Toronto, Ontario, Canada
- Division of Neurology, University of Toronto, Toronto, Ontario, Canada
- Krembil Research Institute, Toronto, Ontario, Canada
- Department of Parkinson's Disease & Movement Disorders Rehabilitation, Moriggia-Pelascini Hospital-Gravedona ed Uniti, Como, Italy
| | - Fabrizio Stocchi
- University and Institute for Research and Medical Care IRCCS San Raffaele, Rome, Italy
| | - Nobutaka Hattori
- Department of Neurology, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Prashanth Lingappa Kukkle
- Center for Parkinson's Disease and Movement Disorders, Manipal Hospital, Bangalore, India
- Parkinson's Disease and Movement Disorders Clinic, Bangalore, India
| | - Mayela Rodríguez-Violante
- Insituto Nacional de Neurologia y Neurocirugia, Movement Disorders Clinic, Mexico City, Mexico
- Movement Disorder Clinic, National Institute of Neurology and Neurosurgery, Mexico City, Mexico
| | - Cristian Falup-Pecurariu
- Department of Neurology, Faculty of Medicine, Transilvania University of Brașov, Brașov, Romania
- Department of Neurology, County Emergency Clinic Hospital, Brașov, Romania
| | - Sebastian Schade
- Department of Clinical Neurophysiology, University Medical Center Göttingen, Göttingen, Germany
| | - Jan Niklas Petry-Schmelzer
- Department of Neurology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Vinod Metta
- Parkinson Foundation International Centre of Excellence, King's College Hospital, London, United Kingdom
- Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom
| | - Daniel Weintraub
- Departments of Psychiatry and Neurology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania, USA
- Parkinson's Disease Research, Education and Clinical Center (PADRECC), Corporal Michael J. Crescenz Veterans Affairs Medical Center, Philadelphia, Pennsylvania, USA
| | - Guenther Deuschl
- Department of Neurology, University Hospital Schleswig-Holstein (UKSH), Christian-Albrechts-University Kiel, Kiel, Germany
| | - Alberto J Espay
- University of Cincinnati Gardner Neuroscience Institute, Gardner Family Center for Parkinson's Disease and Movement Disorders, Department of Neurology, University of Cincinnati, Cincinnati, Ohio, USA
| | - Eng-King Tan
- Department of Neurology, National Neuroscience Institute, Singapore General Hospital, Singapore, Singapore
- Neuroscience and Behavioral Disorders (NBD) Department, Duke-NUS Medical School, Singapore, Singapore
| | - Roongroj Bhidayasiri
- Chulalongkorn Centre of Excellence for Parkinson's Disease & Related Disorders, Department of Medicine, Faculty of Medicine, Chulalongkorn University and King Chulalongkorn Memorial Hospital, Bangkok, Thailand
- The Academy of Science, The Royal Society of Thailand, Bangkok, Thailand
| | - Victor S C Fung
- Movement Disorder Unit, Department of Neurology, Westmead Hospital, Westmead, Australia
| | - Francisco Cardoso
- Movement Disorders Unit, Internal Medicine Department, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil
| | - Claudia Trenkwalder
- Paracelsus-Elena-Klinik, Kassel, Germany
- Department of Neurosurgery, University Medical Center Göttingen, Göttingen, Germany
| | - Peter Jenner
- Institute of Pharmaceutical Sciences, Faculty of Life Sciences and Medicine, King's College London, London, United Kingdom
| | - K Ray Chaudhuri
- Department of Neurology, County Emergency Clinic Hospital, Brașov, Romania
- Department of Clinical Neurophysiology, University Medical Center Göttingen, Göttingen, Germany
- NIHR Mental Health Biomedical Research Centre and Dementia Biomedical Research Unit, South London and Maudsley NHS Foundation Trust and King's College London, London, United Kingdom
| | - Haidar S Dafsari
- Department of Neurology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
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Lenka A, Di Maria G, Lamotte G, Bahroo L, Jankovic J. Practical pearls to improve the efficacy and tolerability of levodopa in Parkinson's disease. Expert Rev Neurother 2022; 22:489-498. [PMID: 35710101 DOI: 10.1080/14737175.2022.2091436] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
Abstract
INTRODUCTION Levodopa is the most effective medication for the treatment of motor symptoms of Parkinson's disease (PD). Several factors may affect the efficacy and tolerability of levodopa. These include the timing, dosage and administration of levodopa, concomitant drugs, food, PD-associated non motor symptoms, and various neurologic and non-neurologic comorbidities. If not appropriately addressed, these issues may limit levodopa efficacy, tolerability, and compliance. AREAS COVERED This article reviews the basics of the metabolism of orally administered levodopa, its side effects, and the factors that may affect its tolerability and efficacy. We provide several practical pearls to improve the tolerability and efficacy of levodopa. EXPERT OPINION Protein-rich food delays and reduces levodopa absorption. Hence, levodopa should preferably be administered in a relatively empty stomach. Carbidopa dosing is crucial as it not only enhances the entry of levodopa into the central nervous system, but also reduces levodopa's peripheral adverse effects. Patients experiencing the early side effects such as nausea/vomiting should be prescribed with anti-nausea medications that do not block dopamine receptors. Non-oral routes of administration can be used to obviate persistent gastrointestinal side effects. Implementation of these and other tips may help improve the tolerability and efficacy of levodopa.
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Affiliation(s)
- Abhishek Lenka
- Department of Neurology, Medstar Georgetown University Hospital, Washington, DC, USA
| | - Gianluca Di Maria
- Department of Neurology, Medstar Georgetown University Hospital, Washington, DC, USA
| | - Guillaume Lamotte
- Department of Neurology, University of Utah, Salt Lake City, UT, USA
| | - Laxman Bahroo
- Department of Neurology, Medstar Georgetown University Hospital, Washington, DC, USA
| | - Joseph Jankovic
- Parkinson's Disease Center and Movement Disorders Clinic, Department of Neurology, Baylor College of Medicine, Houston, Texas, USA
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Valladales-Restrepo LF, Peña-Verjan NM, Vargas-Díaz K, Machado-Alba JE. Potentially inappropriate prescriptions of antipsychotic and anticholinergic drugs in patients with Parkinson's disease. Neurodegener Dis Manag 2021; 11:361-371. [PMID: 34525848 DOI: 10.2217/nmt-2021-0021] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023] Open
Abstract
Aim: The objective was to determine the prevalence of the potentially inappropriate antipsychotics and anticholinergics used in patients with Parkinson's disease. Materials & methods: A cross-sectional study identified the prescription of antipsychotics, anticholinergics and drugs for the treatment of Parkinson's disease. The anticholinergic burden was evaluated, and quetiapine and clozapine were considered to be adequate antipsychotics. Results: 2965 patients with Parkinson's disease were identified. The presence of psychiatric disorders and other neurological pathologies was associated with a greater probability of receiving potentially inappropriate antipsychotic prescriptions. The presence of greater number of comorbidities was associated with a greater probability of receiving anticholinergics. Conclusion: Older age and associated comorbidities, especially psychiatric and neurological comorbidities, increase the likelihood of patients with Parkinson's disease being prescribed antipsychotics and anticholinergics.
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Affiliation(s)
- Luis Fernando Valladales-Restrepo
- Grupo de Investigación Biomedicina, Facultad de Medicina, Fundación Universitaria Autónoma de las Américas, Pereira, Colombia.,Semillero de investigación en Farmacología Geriátrica, Grupo de Investigación Biomedicina, Facultad de Medicina, Fundación Universitaria Autónoma de las Américas, Pereira, 660003, Risaralda, Colombia.,Grupo de Investigación en Farmacoepidemiología y Farmacovigilancia, Universidad Tecnológica de Pereira-Audifarma S.A, Pereira, Risaralda, Colombia
| | - Nathalia Marcela Peña-Verjan
- Semillero de investigación en Farmacología Geriátrica, Grupo de Investigación Biomedicina, Facultad de Medicina, Fundación Universitaria Autónoma de las Américas, Pereira, 660003, Risaralda, Colombia
| | - Katherine Vargas-Díaz
- Semillero de investigación en Farmacología Geriátrica, Grupo de Investigación Biomedicina, Facultad de Medicina, Fundación Universitaria Autónoma de las Américas, Pereira, 660003, Risaralda, Colombia
| | - Jorge Enrique Machado-Alba
- Grupo de Investigación en Farmacoepidemiología y Farmacovigilancia, Universidad Tecnológica de Pereira-Audifarma S.A, Pereira, Risaralda, Colombia
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Sahoo LK, Holla VV, Batra D, Prasad S, Bhattacharya A, Kamble N, Yadav R, Pal PK. Comparison of effectiveness of trihexyphenidyl and levodopa on motor symptoms in Parkinson's disease. J Neural Transm (Vienna) 2020; 127:1599-1606. [PMID: 33037478 DOI: 10.1007/s00702-020-02257-0] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2020] [Accepted: 09/22/2020] [Indexed: 11/26/2022]
Abstract
Despite anti-cholinergics being the oldest type of medication used for the treatment of Parkinson's disease (PD), the mechanism of action and exact benefit is unclear. This study compared the effectiveness of trihexyphenidyl (THP) and levodopa (LD) on motor symptoms in patients with PD. Patients with PD who are currently taking or had taken THP were recruited. UPDRS-III was done following overnight medication OFF state and 30 min, 60 min, 90 min, and 120 min after THP (4 mg). After a forty-eight-hour interval, UPDRS-III was assessed one hour after Levodopa/carbidopa (200/50 mg) in an overnight OFF state. Twenty patients with a mean age of 57.9 ± 7.8 years and mean duration of illness of 5.1 ± 3.6 years were recruited. UPDRS-III score reduction (%) with THP was maximum in the tremor sub-score (53.8 ± 22.8) and was significantly better compared to improvement in total-UPDRS-III (27.0 ± 14.7), bradykinesia-UPDRS-III (22.2 ± 27.2), rigidity-UPDRS-III (29.5 ± 28.0) and axial-UPDRS-III (8.1 ± 13.3) sub-score. In comparison, respective LD improvement was 67.1 ± 22.9 (tremor-UPDRS-III), 61.3 ± 14.4 (total-UPDRS-III), 67.9 ± 32.1 (bradykinesia-UPDRS-III), 65.3 ± 25.5 (rigidity-UPDRS-III) and 50.7 ± 16.0 (axial-UPDRS-III). Improvement (%) in tre-UPDRS-III post-THP was comparable to that of post-LD (53.8 ± 22.8 vs. 67.1 ± 22.9, p = 0.057). Those with same or better tremor response with THP had significantly milder baseline tremor severity than those who had better response with LD (tre-UPDRS-III-OFF, 10.0 ± 2.8 vs. 5.8 ± 4.0, p = 0.013). Both THP and LD showed significant improvement in UPDRS-III. With THP, the maximum degree of improvement was in the tremor sub-score and not significantly different to that obtained by LD. Those with better tremor response on THP had milder tremor severity.
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Affiliation(s)
- Lulup Kumar Sahoo
- Department of Neurology, National Institute of Mental Health and Neurosciences (NIMHANS), Bengaluru, 560029, India
| | - Vikram Venkappayya Holla
- Department of Neurology, National Institute of Mental Health and Neurosciences (NIMHANS), Bengaluru, 560029, India
| | - Dhruv Batra
- Department of Neurology, National Institute of Mental Health and Neurosciences (NIMHANS), Bengaluru, 560029, India
| | - Shweta Prasad
- Department of Neurology, National Institute of Mental Health and Neurosciences (NIMHANS), Bengaluru, 560029, India
- Department of Clinical Neurosciences, National Institute of Mental Health and Neurosciences (NIMHANS), Bengaluru, 560029, India
| | - Amitabh Bhattacharya
- Department of Neurology, National Institute of Mental Health and Neurosciences (NIMHANS), Bengaluru, 560029, India
| | - Nitish Kamble
- Department of Neurology, National Institute of Mental Health and Neurosciences (NIMHANS), Bengaluru, 560029, India
| | - Ravi Yadav
- Department of Neurology, National Institute of Mental Health and Neurosciences (NIMHANS), Bengaluru, 560029, India
| | - Pramod Kumar Pal
- Department of Neurology, National Institute of Mental Health and Neurosciences (NIMHANS), Bengaluru, 560029, India.
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Rajan R, Saini A, Verma B, Choudhary N, Gupta A, Vishnu VY, Bhatia R, Singh MB, Srivastava AK, Srivastava MVP. Anticholinergics May Carry Significant Cognitive and Gait Burden in Parkinson's Disease. Mov Disord Clin Pract 2020; 7:803-809. [PMID: 33043076 DOI: 10.1002/mdc3.13032] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2020] [Revised: 06/26/2020] [Accepted: 07/13/2020] [Indexed: 12/30/2022] Open
Abstract
Background Anticholinergic drugs are associated with significant cognitive and other adverse events in older adults, including those with Parkinson's disease (PD). Anticholinergic effects are considered lesser in younger individuals and the burden and outcomes in younger patients with PD are unknown. Objectives To determine the cumulative anticholinergic burden in a cohort of younger of patients with PD and to correlate the same with cognitive impairment and freezing of gait (FOG). Methods We conducted a cross-sectional study to identify the cumulative anticholinergic burden from medications prescribed to patients with PD. Two standard scales, the Anticholinergic Cognitive Burden (ACB) scale and the ACB score, were used to calculate the anticholinergic burden from prescriptions. We identified commonly prescribed drugs contributing to anticholinergic effects and correlated the cumulative ACB score with cognitive impairment (Movement Disorder Society-Unified Parkinson's Disease Rating Scale item 1.1) and FOG (Movement Disorder Society-Unified Parkinson's Disease Rating Scale items 2.13 and 3.11). Results We recruited 287 patients with PD (68.9% male) with a mean age of 56.9 ± 11.8 years and a duration of symptoms 6.3 ± 6.9 years. Median ACB score was 4 (range 0-12). A total of 164 (58.4%) patients had total ACB score > 3. ACB score > 3 was independently associated with cognitive impairment (Odds Ratio, 2.55; 95% confidence interval, 1.43-4.53; P < 0.001) and FOG using patient-reported measures (Odds Ratio, 3.192; 95% Confidence Interval, 1.68-6.07; P < 0.001) and objective measures (odds ratio, 2.41; 95% confidence interval, 1.27-4.6, P = 0.007). Conclusion Patients with PD are exposed to significant anticholinergic burden from drugs prescribed for PD and non-PD indications. Higher anticholinergic burden is associated with cognitive impairment and FOG even in younger patients with PD.
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Affiliation(s)
- Roopa Rajan
- Department of Neurology All India Institute of Medical Sciences New Delhi India
| | - Arti Saini
- Department of Neurology All India Institute of Medical Sciences New Delhi India
| | - Bhawna Verma
- Department of Neurology All India Institute of Medical Sciences New Delhi India
| | - Nishu Choudhary
- Department of Neurology All India Institute of Medical Sciences New Delhi India
| | - Anu Gupta
- Department of Neurology All India Institute of Medical Sciences New Delhi India
| | | | - Rohit Bhatia
- Department of Neurology All India Institute of Medical Sciences New Delhi India
| | - Mamta B Singh
- Department of Neurology All India Institute of Medical Sciences New Delhi India
| | - Achal K Srivastava
- Department of Neurology All India Institute of Medical Sciences New Delhi India
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Evolution of Initial Pharmacologic Treatment of Newly Diagnosed Parkinson's Disease Patients over a Decade in Singapore. PARKINSONS DISEASE 2020; 2020:6293124. [PMID: 32318260 PMCID: PMC7149451 DOI: 10.1155/2020/6293124] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/08/2020] [Accepted: 03/11/2020] [Indexed: 11/17/2022]
Abstract
Objective The aim of this study is to compare Parkinson's disease (PD) treatment practices by movement disorder (MD) specialists across a decade, and to determine the factors that influence drug choice for the motor symptoms of PD in newly diagnosed drug-naïve patients. Methods This prospective temporal analysis included patients seen at the National Neuroscience Institute in Singapore and diagnosed with PD by MD specialists in the years 2007 and 2017. Primary outcomes were use of specific PD drugs and changes in drug-prescribing patterns. Descriptive analyses and multivariable logistic regression models determined the extent to which patient characteristics were associated with type of PD treatment. Results Of 230 patients with PD (mean (SD) age, 66.7 (10.3) years), 131 (57.0%) were male. From 2007 to 2017, the use of ergot dopamine agonists and anticholinergics decreased from 19.3% to 2.0% (P < 0.001) and from 12.0% to 2.7% (P = 0.004), respectively. The use of monoamine oxidase B inhibitors (MAOBI) increased from 13.3% to 25.2% (P = 0.033). The use of levodopa (LD)-sparing strategies decreased nonsignificantly from 33.7% to 24.5% (P = 0.133). Overall, 196 (85.2%) patients were initiated on symptomatic monotherapy, with LD being the most commonly prescribed. MAOBI was the most common drug used in combination therapy. Age ≤70 (adjusted OR, 11.9; 95% CI, 4.5–31.5) and Hoehn and Yahr (HY) stage <2 (adjusted OR, 3.4; 95% CI, 1.5–7.7) were independent factors for LD-sparing strategies. Non-LD prescriptions (13 of 92; 14.1%) were more likely to be discontinued compared to LD ones (6 of 149; 4.0%) (P = 0.005). Conclusions Drug-prescribing patterns in PD have changed significantly through the last decade, influenced by emerging evidence and reports of adverse drug effects. Choosing drugs based on the patient's age and disease severity remain sound guiding principles across the years. It is important that international and national guidelines for pharmacotherapy in PD be updated consistently throughout different socioeconomic settings to optimize care.
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Orayj K, Lane E. Patterns and Determinants of Prescribing for Parkinson's Disease: A Systematic Literature Review. PARKINSON'S DISEASE 2019; 2019:9237181. [PMID: 31781365 PMCID: PMC6875178 DOI: 10.1155/2019/9237181] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/18/2019] [Revised: 10/02/2019] [Accepted: 10/10/2019] [Indexed: 11/17/2022]
Abstract
Since the discovery of levodopa (L-dopa) in 1967, the range of medications available to treat Parkinson's disease has increased significantly and guidance on the use, efficacy, and safety of these medications has evolved. To assess levels of adherence to national prescribing guidelines and awareness of changes in the efficacy and safety data published in the profiles of medications for the treatment of PD, we have reviewed studies on patterns and determinants of prescribing PD medications conducted in the last 50 years (since the discovery of L-dopa). A systematic literature review was conducted using EMBASE (1967 to March, 2018), Ovid MEDLINE(R) ALL (1967 to March 16, 2018), PsycINFO (1967 to the 2nd week of March, 2018), and PubMed to identify all studies measuring prescribing patterns of PD medication between 1967 and 2017. Study design, source of data, country, year of study, number of patients and/or prescriptions, unit of analysis, prescribing determinants, and percentage utilisation of PD medications were extracted where possible. 44 studies examining prescribing patterns and/or prescribing determinants across 17 countries were identified. Unsurprisingly, L-dopa was the most commonly prescribed medication in all studies, accounting for 46.50% to 100% of all prescriptions for PD. In several studies, the prescribing rate of ergot-derived dopamine agonists (DAs) decreased over time in concordance with guidance. In contrast, the prescribing rates of non-ergot DAs increased over the last ten years in most of the included studies. In examining prescribing factors, two major categories were exemplified, patients' factors and prescribers' factors, with patients' age being the most common factor that affected the prescription in most studies. In conclusion, L-dopa is now the most commonly prescribed medication for cases of PD but there is large variation in the prescribing rates of catechol-O-methyltransferase (COMT) inhibitors, monoamine oxidase B (MAO-B) inhibitors, amantadine, and anticholinergics between countries. New studies examining the effects of recent clinical trials and measuring the prescribing rates of newly approved medications are warranted.
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Affiliation(s)
- Khalid Orayj
- School of Pharmacy and Pharmaceutical Sciences, Cardiff University, Redwood Building, King Edward VII Ave, Cardiff CF10 3NB, UK
- College of Pharmacy, King Khalid University, Abha, Saudi Arabia
| | - Emma Lane
- School of Pharmacy and Pharmaceutical Sciences, Cardiff University, Redwood Building, King Edward VII Ave, Cardiff CF10 3NB, UK
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