The Parkinson’s Disease Composite Scale Is Adequately Responsive to Acute Levodopa Challenge

Pintér, Dávid; Martinez-Martin, Pablo; Janszky, József; Kovács, Norbert

doi:https://doi.org/10.1155/2019/1412984

Parkinson’s Disease

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Abstract Introduction Materials and Methods Results Discussion Abbreviations Data Availability Disclosure Conflicts of Interest Authors’ Contributions Acknowledgments References Copyright Related Articles

Research Article | Open Access

Volume 2019 | Article ID 1412984 | https://doi.org/10.1155/2019/1412984

The Parkinson’s Disease Composite Scale Is Adequately Responsive to Acute Levodopa Challenge

Dávid Pintér,¹Pablo Martinez-Martin,²József Janszky,^3,4and Norbert Kovács^3,4

Academic Editor: Ivan Bodis-Wollner

Received23 Apr 2019

Accepted29 Jul 2019

Published10 Sept 2019

Abstract

Background. The Parkinson’s Disease Composite Scale (PDCS) is a recently developed easy-to-use tool enabling a timely but comprehensive assessment of Parkinson’s disease (PD)-related symptoms. Although the PDCS has been extensively validated, its responsiveness to acute levodopa challenge has not been demonstrated yet. Objective. To investigate the correlation between changes in the motor examination part of the Movement Disorder Society-sponsored Unified Parkinson’s Disease Rating Scale (MDS-UPDRS) and the PDCS motor scores during acute levodopa challenge and calculate a cutoff range on the PDCS indicating clinically relevant improvement. Methods. A consecutive series of 100 patients with parkinsonism were assessed using the motor examination sections of the MDS-UPDRS and the PDCS at least 12 hours after the last levodopa dose and after the administration of a single dose of a suprathreshold immediate formulation of levodopa/benserazide reaching the “best ON.” Results. There was a high correlation between changes in the MDS-UPDRS and the PDCS motor scores (Spearman’s rho = 0.73, ). Receiver operating characteristic analysis revealed that a 14.6%–18.5% improvement in the PDCS motor scores corresponds to a 20–30% improvement in the MDS-UPDRS motor examination. Conclusions. The PDCS can reliably and adequately respond to an acute levodopa challenge. Any improvements in PDCS motor scores exceeding the 14.6–18.5% threshold could represent a clinically relevant response to levodopa.

1. Introduction

Parkinson’s disease (PD) is associated with numerous and quite heterogeneous symptoms. Therefore, there is a high need from both clinical and research perspectives to comprehensively assess these problems. Although various tools, including the Movement Disorder Society-sponsored Unified Parkinson’s Disease Rating Scale (MDS-UPDRS) [1], the Hoehn and Yahr Scale (HYS) [2], the Clinical Impression of Severity Index for Parkinson’s Disease (CISI) [3], the Non-Motor Symptoms Scale (NMSS) [4], the Unified Dyskinesia Rating Scale [5], and the Montreal Cognitive Assessment (MoCA) [6], are available, these instruments still have some weaknesses. While the MDS-UPDRS measures the PD-related symptoms in a holistic approach, assessment of this scale is time-consuming. On the other hand, the use of the other aforementioned scales is somewhat faster and simpler; however, they focus on certain problems and consequently cannot provide a comprehensive picture. Moreover, the majority of the available assessment tools (e.g., MDS-UPDRS and MoCA) are copyrighted, which may limit their applicability. Because there was no single validated, reliable, highly responsive, and timely assessable tool, which can holistically measure the main motor and nonmotor symptoms of PD and suitable for both everyday clinical practice and research purposes, the European Parkinson’s Disease Association sponsored the development of the Parkinson’s Disease Composite Scale (PDCS).

Introduced in 2016 [7], the PDCS is a rater-based simple and relatively quick instrument measuring various aspects of PD including the severity of motor (6 items) and nonmotor symptoms (6 items), treatment-related complications (4 items), and PD-related disability (1 item). Motor symptoms are evaluated by the healthcare professional at the time of the visit, while nonmotor symptoms, treatment-related complications, and PD-related disability are rated based on the experience of the patient over the two weeks prior to the examination. Although each item can be rated as absent, mild, moderate, severe, or very severe, the scoring is asymmetric. Some clinically relevant problems (e.g., cognitive problems, postural instability, and falls) are scored from 0 to 7, while other less disabling problems have a range of 0–4. This unique scoring system enables the weighted measure of clinically disabling symptoms. Besides calculating the different domains, a total score can also be formulated.

The first validation study on the PDCS has found that this new scale seems to be feasible, acceptable, reproducible, valid, and precise [8]. These results have been reinforced by a further more extensive validation study which involved over 750 patients from 20 centers of 11 countries [9].

As the PDCS is a recently developed instrument, some of its potential scopes have not yet been studied. To the best knowledge of the authors, the PDCS has not been used in interventional studies, and consequently, there are no data available demonstrating its capability to detect clinical change. Therefore, we aimed to investigate the responsiveness of the PDCS to an acute levodopa challenge.

2. Materials and Methods

The study protocol was similar to the procedure utilized by Merello et al. to analyze the performance of the MDS-UPDRS motor section assessing the response to an acute levodopa challenge [10]. A consecutive series of patients with parkinsonism, undergoing an acute levodopa challenge at the Department of Neurology, University of Pécs, Hungary, between 2017 and 2018 were enrolled in this prospective study. The study protocol was approved by the Regional and Institutional Ethical Committee (3617.316-24987/KK41). In de novo or early-phase patients, the acute dopaminergic challenge was used for helping the differential diagnosis of parkinsonian syndromes, while in advanced PD cases it is used for evaluating the feasibility of patients for deep brain stimulation. If an adverse event interfering with the outcome (e.g., nausea, vomiting, and hypotension) occurred during the test, the patient was excluded. To minimize these events, patients were pretreated with domperidone (30 mg/day) 12–72 hours before and on-demand again 1 hour before the administration of levodopa.

In the case of those patients who were on antiparkinsonian medication, any form of levodopa was discontinued at least 12 hours prior (usually an overnight withdrawal) to achieve an OFF state. Long-acting dopamine agonists (e.g., pramipexole, ropinirole, and rotigotine) and monoamine oxidase-B inhibitors (e.g., rasagiline and selegiline) were withdrawn at least for 48 hours.

All examinations were performed by two highly experienced nurse practitioners. First, we assessed the motor sections of the MDS-UPDRS and the PDCS in the morning between 8 and 9 a.m. corresponding to an OFF state. Subsequently, we rated these instruments in ON state usually 60–90 minutes after the administration of 200–400 mg immediate-release formulation of levodopa/benserazide pills (Madopar® Dispersible, Roche). Those patients, who had chronically been treated previously with antiparkinsonian medications, were asked to decide whether the achieved ON state corresponds to their best ON. If not, further 50–100 mg levodopa was administered and this dose was repeated until the best ON state was achieved.

In addition to the MDS-UPDRS Part III and the PDCS, further neurological and neuropsychological examinations were performed for the better characterization of the study population. The severity of PD-related symptoms was globally assessed by the Hungarian validated versions of the other parts of the MDS-UPDRS [11], the HYS, and the CISI-PD. To assess nonmotor symptoms globally, the validated Hungarian version of the NMSS [12] was also included. Besides, neurocognitive performance, apathy, anxiety, and depression were also assessed by the MoCA [13, 14], the Lille Apathy Rating Scale [15], the Parkinson Anxiety Scale [16], the Montgomery–Asberg Depression Rating Scale [17], and the Parkinson’s Disease Sleep Scale 2nd version [18, 19]. The 39-item Parkinson’s Disease Questionnaire [20] was used to measure the disease-specific health-related quality of life.

The IBM SPSS software package (version 24.0.2, IBM Inc., Armonk, NY, USA) was used for statistical calculations. To test normality, Shapiro–Wilk test was utilized. Because some data from the applied scales did not follow the normal distribution, median and 25–75 percentiles were also shown besides the mean ± standard deviation values.

For correlation, Spearman’s rank correlation coefficients were calculated by analyzing the association between MDS-UPDRS and PDCS motor changes due to the acute levodopa challenge. For correlation coefficients, the values 0–0.29 were indicative of weak correlation, the values 0.30–0.59 were indicative of moderate association, and the values 0.60–1.00 were considered as high association [21].

There is no exact definition for the clinically relevant response to acute levodopa challenge available. A consensus report suggested that at least 20–30% improvement in UPDRS III is required depending on the aim of the testing [22]. In a more recent single-center study, Merello et al. suggested that a 24.5% improvement in the MDS-UPDRS Part III seems to be clinically relevant [10]. Therefore, we considered the acute levodopa challenge positive if at least 24.5% improvement was documented on the MDS-UPDRS Part III.

Subsequently, receiver operating characteristic (ROC) analysis was performed. Improvements in the PDCS motor score corresponding to 20%, 24.5%, and 30% improvements in the MDS-UPDRS Part III were identified. To calculate the best cutoff values with the most optimal sensitivity and specificity, the Youden method was used [23]. The statistical significance level was set at 0.01.

3. Results

A total of 100 consecutive patients (47 females), aged 66.0 ± 9.7 years, were enrolled. Of them, 20 patients had de novo or early phase of parkinsonism. The mean duration of disease was 4.7 ± 4.5 years. Almost half of the patients (49%) suffered from mild (HYS 1&2) parkinsonism, while 23 patients had moderate (HYS 3) and 28 patients had severe (HYS 4&5) stage. Baseline characteristics of the study population (e.g., demographic and disease-specific data) are presented in Table 1.

Levodopa test was positive in 83 cases, while negative results indicated other parkinsonian syndromes responsible for the symptoms in 17 patients (Table 2). Mean MDS-UPDRS and PDCS motor scores were 45.1 ± 15.3 and 13.7 ± 6.2 points in OFF and 33.2 ± 15.2 and 10.1 ± 6.5 points in ON state, respectively. According to these data, an average of 27.0 ± 20.1% (−11.9 points) and 28.7 ± 30.3% (−3.6 points) reduction of MDS-UPDRS and PDCS motor scores could be achieved by administering levodopa (Table 2). Changes in the motor scores of the MDS-UPDRS and the PDCS occurring during an acute levodopa challenge by disease type are shown in Table 3.

High level of correlation (Spearman’s rho = 0.726, ) was found between changes in MDS-UPDRS and PDCS motor scores (Figure 1). The level of correlation varied according to the disease type from 0.465 (non-PD group) to 0.806 (tremor-dominant PD, Table 3).

The area under the ROC curve (AUC) for the change in PDCS motor score corresponding to the clinically relevant 20% improvement in the MDS-UPDRS Part III was 0.883 (; Figure 2). The area under the ROC curve for the improvement in PDCS motor score corresponding to the 24.5% change in the motor examination part of the MDS-UPDRS was 0.885 (; Figure 3), while the area under the ROC curve for the change in PDCS motor score corresponding to the 30% improvement in the MDS-UPDRS motor score was 0.883 (; Figure 4). The cutoff values for improvements in the PDCS motor scores, which indicate a clinically relevant response to acute levodopa challenge with the most optimal sensitivity and specificity and correspond to the 20%, 24.5%, and 30% changes in the MDS-UPDRS Part III, were 14.6%, 16.6%, and 18.5% (Table 4).

4. Discussion

To demonstrate the responsiveness of the motor domain of the PDCS to clinical change, we measured the improvement in both the MDS-UPDRS and the PDCS during acute levodopa challenge. Ideally, a clinical scale, such as the PDCS, should adequately detect the improvement in motor symptoms and differentiate the responders from the nonresponders.

We calculated the correlation between the changes in motor scores of the PDCS and the MDS-UPDRS, and we determined subsequently the minimum required improvement in the motor score of the PDCS corresponding to a clinically relevant improvement.

Internationally accepted diagnostic criteria of United Kingdom Parkinson’s Disease Society Brain Bank for idiopathic Parkinson’s disease include the responsiveness of motor signs of the disease to levodopa [24]. Therefore, an acute levodopa challenge, which is the standard way of testing this supportive prospective criterion, can help confirm or refute the clinical diagnosis of the disease.

Motor examination parts of the UPDRS and the MDS-UPDRS are the standard tools for measuring the improvement of motor symptoms developing due to the administration of a single dose of levodopa. At present, only a consensus-based definition of the clinically relevant response to acute levodopa challenge is available for clinical practice. According to this definition, if acute levodopa improves the motor score of a drug-naïve PD patient by at least 20% compared to baseline, the acute challenge can be considered as positive. However, a positive acute response to levodopa should be defined based on the aim of testing in treated patients [22]. A minimum threshold of 30% improvement in motor score compared to baseline was accepted as a clinically relevant change, indicating a positive chronic response to levodopa [22]. This empirically adopted 30% improvement has been confirmed to be a sensitive and specific threshold value predicating sustained long-term levodopa response by Merello et al. [25]. To conclude, current recommendations consider the 20% or 30% improvements in the UPDRS Part III to be clinically relevant. However, such threshold values are not available for the MDS-UPDRS. Although Merello et al. described that an approximately 24.5% improvement in the MDS-UPDRS Part III corresponds to an approximately 30% improvement in the UPDRS Part III [10], this finding has not yet been confirmed by other groups which make its generalizability uncertain. A major weakness of the previously established cutoff values may be that they can be highly sample dependent which considerably interferes with their applicability in clinical research. We, therefore, calculated the discriminating threshold values of PDCS motor score for both the 20%, 24.5%, and 30% improvements in the MDS-UPDRS Part III and, as a result, established a range between 14.6% and 18.5% improvements in the PDCS motor score which may be more applicable, compared to an exact threshold value, even for study populations differing from the present sample.

Fulfilling our expectations, we found a good and significant correlation between MDS-UPDRS Part III changes and PDCS motor score changes. We also demonstrated that PDCS can differentiate responders and nonresponders to levodopa. The cutoff values of 20%, 24.5%, and 30% in the motor examination part of the MDS-UPDRS for sustained levodopa response were equivalent to 14.6%, 16.6%, and 18.5% improvements in the PDCS motor score.

Merello et al. have demonstrated an excellent correlation between the motor examination parts of the UPDRS and the MDS-UPDRS both before (Pearson’s R = 0.965) and after (Pearson’s R = 0.968) acute levodopa challenge [10]. The correlation coefficient between the MDS-UPDRS Part III and the PDCS motor scores, which was found by a recent validation study using data of 776 patients (the findings of this study are awaiting for publication), was high (Spearman’s R = 0.81) but not as strong as the correlation coefficient between the UPDRS and its successor version (MDS-UPDRS) found by Merello et al. We also found a good but not an excellent correlation between the changes in motor scores of the MDS-UPDRS and the PDCS during acute levodopa challenge. A possible reason for the lower correlation coefficient between these two scales (MDS-UPDRS and PDCS) may be the shorter number of items of the PDCS and the heterogeneous scoring of the PDCS motor items, which results from the weighting of the items based on clinical relevance of a particular symptom, in comparison with the motor parts of the UPDRS and the MDS-UPDRS having more items to correlate which are scored uniformly.

The strength of our study partly lies in the study population which also included patients with non-PD parkinsonism. Another strength of the present study may be that we used a range of improvement in the MDS-UPDRS motor scores indicating a clinically relevant response to levodopa for the identification of a range of variation in the PDCS motor scores demonstrating good levodopa response. The use of a range instead of an exact threshold value may provide the wider and more convenient applicability of our results because they are less dependent on the characteristics of the investigated patient population and they, therefore, should not be newly calculated for each study in which they are planned to be used.

To conclude, the PDCS seems to be adequately responsive to the acute levodopa challenge based on the good correlation between changes in the MDS-UPDRS and PDCS motor scores during the test. Any improvement in the PDCS motor score equal to or greater than 14.6% seems to demonstrate levodopa responsiveness. These results may be helpful for centers which plan to integrate the use of PDCS motor section into their protocols for performing acute levodopa challenge.

Abbreviations

AUC:	Area under the curve
CISI-PD:	Clinical Impression of Severity Index for Parkinson’s Disease
HYS:	Hoehn and Yahr Scale
MDS-UPDRS:	Movement Disorder Society-sponsored Unified Parkinson’s Disease Rating Scale
MoCA:	Montreal Cognitive Assessment
NMSS:	Non-Motor Symptoms Scale
PD:	Parkinson’s disease
PDCS:	Parkinson’s Disease Composite Scale
ROC:	Receiver operating characteristic.

Data Availability

The data used to support the findings of this study have not been made available because the current ethical approval does not permit its deposition.

Disclosure

DP reported no financial disclosure. PMM received honoraria from National School of Public Health (ISCIII) and Editorial Viguera for lecturing in courses; International Parkinson and Movement Disorder Society for management of the Program on Rating Scales; Air Liquide, Abbvie, Zambon, and HM Hospitales de Madrid for advice in clinical-epidemiological studies; and license fee payments for the King’s Parkinson’s Disease Pain Scale. Regarding this study, the author did not receive any corporate funding. JJ received <1000 EUR consultation fees from Hungarian subsidiaries of UCB, Valeant, Rihter, Gerot, and Eisai. Regarding this study, the author did not receive any corporate funding. NK received <1000 EUR consultation fees from Hungarian subsidiaries of Medtronic, Boehringer Ingelheim, Novartis, GlaxoSmithKline, UCB, Krka, and Abbvie. Regarding this study, the author did not receive any corporate funding.

Conflicts of Interest

The authors declare that they have no conflicts of interest.

Authors’ Contributions

DP and NK performed the research and statistical analysis and wrote the manuscript. PMM and JJ conceptualized the research project, involved in the review and critical statistical analysis, and reviewed and critically analysed the manuscript.

Acknowledgments

This study was supported by the Hungarian Brain Research Program (2017-1.2.1-NKP-2017-00002) and NKFIH (EFOP-3.6.2-16-2017-00008, SNN125143, and ÚNKP-17-4-I.-PTE-311) (government-based funds). Our research was partly financed by the Higher Education Institutional Excellence Program of the Ministry of Human Capacities in Hungary, within the framework of the 5th thematic program of the University of Pécs, Hungary (20765/3/2018/FEKUSTRAT). The authors would like to thank Éva Balázs and Katalin Takács, our Parkinson’s nurses, for their assistance in study-related examinations.

References

C. G. Goetz, S. Fahn, P. Martinez-Martin et al., “Movement disorder society-sponsored revision of the unified Parkinson’s disease rating scale (MDS-UPDRS): process, format, and clinimetric testing plan,” Movement Disorders, vol. 22, no. 1, pp. 41–47, 2007.
View at: Publisher Site | Google Scholar
M. M. Hoehn and M. D. Yahr, “Parkinsonism: onset, progression, and mortality,” Neurology, vol. 17, no. 5, p. 427, 1967.
View at: Publisher Site | Google Scholar
P. Martínez-Martín, C. Rodríguez-Blázquez, M. J. Forjaz, J. de Pedro, and On Behalf of the Spanish-American Longitudinal PD Patient Study Group, “The clinical impression of severity index for Parkinson’s disease: international validation study,” Movement Disorders, vol. 24, no. 2, pp. 211–217, 2009.
View at: Publisher Site | Google Scholar
K. R. Chaudhuri, D. G. Healy, and A. H. Schapira, “Non-motor symptoms of Parkinson’s disease: diagnosis and management,” The Lancet Neurology, vol. 5, no. 3, pp. 235–245, 2006.
View at: Publisher Site | Google Scholar
C. G. Goetz, G. T. Stebbins, H. M. Shale et al., “Utility of an objective dyskinesia rating scale for Parkinson’s disease: inter- and intrarater reliability assessment,” Movement Disorders, vol. 9, no. 4, pp. 390–394, 1994.
View at: Publisher Site | Google Scholar
J. Marinus, D. Verbaan, J. J. van Hilten et al., “The MoCA: well-suited screen for cognitive impairment in Parkinson disease,” Neurology, vol. 76, no. 22, pp. 1944-1945, 2011.
View at: Publisher Site | Google Scholar
F. Stocchi, P. Martinez-Martin, and F. G. Radicati, “A new tool to stage Parkinson’s disease PDCS (Parkinson’s disease composite scale): a pilot study on behalf of the European Parkinson’s disease association (EPDA) (abstract),” Movement Disorders, vol. 31, no. 2, 2016.
View at: Google Scholar
F. Stocchi, F. G. Radicati, K. R. Chaudhuri et al., “The Parkinson’s disease composite scale: results of the first validation study,” European Journal of Neurology, vol. 25, no. 3, pp. 503–511, 2018.
View at: Publisher Site | Google Scholar
P. Martinez-Martin, F. G. Radicati, C. R. Blazquez et al., “Extensive validation study of the Parkinson’s disease composite scale,” European Journal of Neurology, 2019.
View at: Publisher Site | Google Scholar
M. Merello, E. R. Gerschcovich, D. Ballesteros, and D. Cerquetti, “Correlation between the movement disorders society unified Parkinson’s disease rating scale (MDS-UPDRS) and the unified Parkinson’s disease rating scale (UPDRS) during L-dopa acute challenge,” Parkinsonism & Related Disorders, vol. 17, no. 9, pp. 705–707, 2011.
View at: Publisher Site | Google Scholar
K. Horváth, Z. Aschermann, P. Ács et al., “Validation of the Hungarian MDS-UPDRS: why do we need a new Parkinson scale?” Ideggyógyászati Szemle, vol. 67, no. 3-4, pp. 129–134, 2014.
View at: Google Scholar
M. Kovacs, A. Makkos, Z. Aschermann et al., “Impact of sex on the nonmotor symptoms and the health-related quality of life in Parkinson’s disease,” Parkinson’s Disease, vol. 2016, Article ID 7951840, 12 pages, 2016.
View at: Publisher Site | Google Scholar
T. Lucza, K. Karadi, J. Kallai et al., “Screening mild and major neurocognitive disorders in Parkinson’s disease,” Behavioural Neurology, vol. 2015, Article ID 983606, 10 pages, 2015.
View at: Publisher Site | Google Scholar
T. Lucza, Z. Aschermann, M. Kovács et al., “Comparing sensitivity and specificity of addenbrooke’s cognitive examination-I, III and mini-addenbrooke’s cognitive examination in Parkinson’s disease,” Behavioural Neurology, vol. 2018, Article ID 5932028, 9 pages, 2018.
View at: Publisher Site | Google Scholar
R. Weintraut, K. Karádi, T. Lucza et al., “Lille apathy rating scale and MDS-UPDRS for screening apathy in Parkinson’s disease,” Journal of Parkinson’s Disease, vol. 6, no. 1, pp. 257–265, 2016.
View at: Publisher Site | Google Scholar
M. Kovacs, A. Makkos, R. Weintraut, K. Karadi, J. Janszky, and N. Kovacs, “Prevalence of anxiety among Hungarian subjects with Parkinson’s disease,” Behavioural Neurology, vol. 2017, Article ID 1470149, 7 pages, 2017.
View at: Publisher Site | Google Scholar
B. Kaszás, N. Kovács, I. Balás et al., “Sensitivity and specificity of addenbrooke’s cognitive examination, mattis dementia rating scale, frontal assessment battery and mini mental state examination for diagnosing dementia in Parkinson’s disease,” Parkinsonism & Related Disorders, vol. 18, no. 5, pp. 553–556, 2012.
View at: Publisher Site | Google Scholar
K. Horváth, Z. Aschermann, P. Acs et al., “Test-retest validity of Parkinson’s disease sleep scale 2nd version (PDSS-2),” Journal of Parkinson’s disease, vol. 4, no. 4, pp. 687–691, 2014.
View at: Publisher Site | Google Scholar
N. Kovács, K. Horváth, Z. Aschermann et al., “Independent validation of Parkinson’s disease sleep scale 2nd version (PDSS-2),” Sleep and Biological Rhythms, vol. 14, no. 1, pp. 63–73, 2016.
View at: Publisher Site | Google Scholar
G. Fazekas and L. Kulmann, “Parkinsonos betegek életminőségét vizsgáló kérdőív (PDQ-39) magyarországi adaptációja,” Ideggyogy Szemle, vol. 54, pp. 42–44, 2001.
View at: Google Scholar
P. Martinez-Martin, K. R. Chaudhuri, J. M. Rojo-Abuin et al., “Assessing the non-motor symptoms of Parkinson’s disease: MDS-UPDRS and NMS scale,” European Journal of Neurology, vol. 22, no. 1, pp. 37–43, 2015.
View at: Publisher Site | Google Scholar
A. Albanese, U. Bonuccelli, C. Brefel et al., “Consensus statement on the role of acute dopaminergic challenge in Parkinson’s disease,” Movement Disorders, vol. 16, no. 2, pp. 197–201, 2001.
View at: Publisher Site | Google Scholar
W. J. Youden, “Index for rating diagnostic tests,” Cancer, vol. 3, no. 1, pp. 32–35, 1950.
View at: Publisher Site | Google Scholar
A. J. Hughes, S. E. Daniel, L. Kilford, and A. J. Lees, “Accuracy of clinical diagnosis of idiopathic Parkinson’s disease: a clinico-pathological study of 100 cases,” Journal of Neurology, Neurosurgery & Psychiatry, vol. 55, no. 3, pp. 181–184, 1992.
View at: Publisher Site | Google Scholar
M. Merello, M. I. Nouzeilles, G. P. Arce, and R. Leiguarda, “Accuracy of acute levodopa challenge for clinical prediction of sustained long-term levodopa response as a major criterion for idiopathic Parkinson’s disease diagnosis,” Movement Disorders, vol. 17, no. 4, pp. 795–798, 2002.
View at: Publisher Site | Google Scholar

Copyright

Copyright © 2019 Dávid Pintér et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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