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

Alpha-synuclein RT-QuIC assay in gastroduodenal and skin biopsies of Parkinson disease patients

In this study, we compared the value of pathological alpha-synuclein (αSyn) seed amplification assay (SAA) in gastric and duodenal biopsies with skin biopsies in Parkinson disease (PD) patients with different disease duration. The accuracy of αSyn SAA was 87.7% in skin, 67.4% in duodenum, and 80.0% in gastric biopsies, with significantly higher sensitivity in advanced PD (skin: 81.8%; gastric: 88.9%; duodenal 58.8%). Misfolded αSyn was detected with higher sensitivity in advanced PD across all matrices, likely reflecting the progression of αSyn pathology. The seeding activity was lower in the duodenal than in the gastric wall, indicating differences in αSyn burden.

Artificial intelligence for identification of candidates for device-aided therapy in Parkinson's disease: DELIST-PD study

INTRODUCTION

In Parkinson's Disease (PD), despite available treatments focusing on symptom alleviation, the effectiveness of conventional therapies decreases over time. This study aims to enhance the identification of candidates for device-aided therapies (DAT) using artificial intelligence (AI), addressing the need for improved treatment selection in advanced PD stages.

METHODS

This national, multicenter, cross-sectional, observational study involved 1086 PD patients across Spain. Machine learning (ML) algorithms, including CatBoost, support vector machine (SVM), and logistic regression (LR), were evaluated for their ability to identify potential DAT candidates based on clinical and demographic data.

RESULTS

The CatBoost algorithm demonstrated superior performance in identifying DAT candidates, with an area under the curve (AUC) of 0.95, sensitivity of 0.91, and specificity of 0.88. It outperformed other ML models in balanced accuracy and negative predictive value. The model identified 23 key features as predictors for suitability for DAT, highlighting the importance of daily "off" time, doses of oral levodopa/day, and PD duration. Considering the 5-2-1 criteria, the algorithm identified a decision threshold for DAT candidates as > 4 times levodopa tablets taken daily and/or ≥1.8 h in daily "off" time.

CONCLUSION

The study developed a highly discriminative CatBoost model for identifying PD patients candidates for DAT, potentially improving timely and accurate treatment selection. This AI approach offers a promising tool for neurologists, particularly those less experienced with DAT, to optimize referral to Movement Disorder Units.

Grasping the big picture: impact analysis of screening tools for timely referral for device-aided therapies

Several screening tools are available to assist general neurologists in the timely identification of patients with advanced Parkinson's disease (PD) who may be eligible for referral for a device-aided therapy (DAT). However, it should be noted that not all of these clinical decision rules have been developed and validated in a thorough and consistent manner. Furthermore, only a limited number of head-to-head comparisons have been performed. Available studies suggest that D-DATS has a higher positive predictive value and higher specificity than the 5-2-1 criteria, while the sensitivity of both screening tools is similar. However, unanswered questions remain regarding the validity of the decision rules, such as whether the diagnostic performance measures from validation studies are generalizable to other populations. Ultimately, the question is whether a screening tool will effectively and efficiently improve the quality of life of patients with PD. To address this key question, an impact analysis should be performed. The authors intend to set up a multinational cluster randomised controlled trial to compare the D-DATS and 5-2-1 criteria on the downstream consequences of implementing these screening tools, with a particular focus on the impact on disability and quality of life.

What was first and what is next in selecting device-aided therapy in Parkinson's disease? Balancing evidence and experience

Parkinson's disease (PD) progresses with motor fluctuations emerging several years after treatment initiation. Initially managed with oral medications, these fluctuations may later necessitate device-aided therapy (DATs). Globally, various DATs options are available, including continuous subcutaneous apomorphine infusion, deep brain stimulation, levodopa-carbidopa intestinal gel, levodopa-entacapone-carbidopa intestinal gel, and subcutaneous foslevodopa/foscarbidopa infusion, each with its complexities. Hence, matching complex patients with suitable therapy is critical. This review offers practical insights for physicians managing complex PD cases. Balancing evidence and experience is vital to select the most suitable DATs, considering factors like disease stage and patient preferences. Comparative analysis of DATs benefits and risks provides essential insights for clinicians and patients. Treatment sequences vary based on availability, patient needs, and disease progression. Less invasive options like apomorphine are often preferred initially, followed by other DATs if needed. Patient selection requires comprehensive evaluations, including motor function and cognitive status. Follow-up care involves symptom monitoring and adjusting medications. Customized treatment plans are essential for optimizing PD management with DATs.

Prevalence of Thai patients with advanced Parkinson's disease and external validation of the 5-2-1 Criteria and the CDEPA Questionnaire: A single-centered, cross-sectional study

BACKGROUND

Advanced stage of Parkinson's disease (APD) diagnosis is challenging for general neurologists. The 5-2-1 Criteria and the Cuestionario De Enfermedad de Parkinson Avanzada (CDEPA) have been validated for screening for APD.

OBJECTIVE

This article reports the period-prevalence of APD defined by a movement disorder expert, the 5-2-1 Criteria, and CDEPA and to improve the screening performance of the 5-2-1 Criteria METHODS: A cross-sectional retrospective study at the Parkinson's disease (PD) clinic of a tertiary hospital in Bangkok, Thailand amongst all PD patients aged ≥ 18 years was performed from January 2016 to January 2020. We compared the characteristics of APD and non-APD patients. We externally validated the 5-2-1 Criteria and CDEPA. We explored improving the 5-2-1 Criteria.

RESULTS

Of 480 PD patients with complete data, the period-prevalence of APD by the movement disorder expert, the 5-2-1 Criteria and CDEPA were 37.1 %, 48.5 %, and 27.5 %, respectively. Adding requiring help with an activity of daily living and freezing of gait to the original 5-2-1 Criteria enhanced the sensitivity from 86.5 % (95 %CI 80.6, 91.2) to 94.9 % (95 %CI 90.6, 97.7) and negative predictive value (NPV) from 90.3 % (95 %CI 85.9, 93.7) to 96 % (95 %CI 92.6, 98.2). However, the CDEPA had a sensitivity of 62.9 % (95 %CI 55.4, 70) and NPV of 81.0 (95 %CI 76.5, 85).

CONCLUSION

The 5-2-1 Criteria had a good screening tool performance for general neurologists to refer APD patients for optimal treatments. The modified 5-2-1 Criteria had better performance than the original one. External validation is needed.

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"

The 5-2-1 criteria was developed to facilitate the identification and referral of patients with Parkinson's Disease (PD) inadequately controlled by oral medications. The criterion was not developed to screen patients with PD for device-aided therapy eligibility. The robust design and validation of the 5-2-1 criteria minimizes over or inappropriate referrals, and supports physicians in the timely identification of patients with PD who may warrant further evaluation for treatment optimization. This response letter clarifies concerns raised by Moes et al.

Development and validation of the DBS-PS (Deep Brain Stimulation-Perception Scale): Assessing parkinsonian patients' expectations to prevent post-operative disappointment?

BACKGROUND

Recent literature suggests that taking into consideration and evaluating preoperative expectations of Parkinson's disease (PD) patients candidates to deep brain stimulation (DBS), can contribute to treatment effectiveness. However, few validated instruments investigating preoperative expectations are available. We present the development and validation of the DBS-PS (Deep Brain Stimulation - Perception Scale).

METHODS

The DBS-PS is an 11 questions self-administered scale, with answers rated on a 10-point Likert scale (1 completely false, 10 completely true). Items were generated on the basis of patient's interviews analyzed by an expert group and reached consensus. The scale is divided into three domains: expectations for PD, expectations for social-life and leisure, expectations for intimate life. Exploratory factor analysis (EFA) completed by item response theory (IRT) analysis was conducted to validate the theoretical structure of the DBS-PS.

RESULTS

64 PD patients aged 59.18 (SD = 5.74) years with PD diagnosed since 9.36 (SD = 4.09) years completed the DBS-PS preoperatively. EFA confirmed a 3 factors scale structure (eigenvalue >1) explaining 69% of variance (factor 1: 43%; factor 2: 17%; factor 3: 9%). Reliability (Cronbach's α: 0.714 for factor 1, 0.781 for factor 2, 0.889 for factor 3) and discriminant validity (Pearson coefficient r < 0.50) were satisfactory. IRT showed good model fit, preserved unidimensionality, but some local dependences were observed.

CONCLUSION

The DBS-PS shows satisfactory psychometric properties. It is easy to administer in routine practice with preoperative PD patients. It constitutes an interesting basis for cognitive restructuring before neurosurgery, by highlighting dysfunctional cognitions and measuring the benefits of cognitive restructuring therapy.

Utilization of MANAGE-PD Tool in a Real-World Setting in Germany: A Cross-Sectional Study

MANAGE-PD is a validated, web-based tool to assist physicians in identifying patients with Parkinson's disease (PD) whose symptoms are inadequately controlled by oral medication. Also, a modified patient version of MANAGE-PD (Parkinson Check) is available in Germany. However, prospective research into the clinical utility of MANAGE-PD is lacking. This non-interventional study aimed to assess the real-world clinical utility of the MANAGE-PD and Parkinson Check in PD patients attending a single visit at specialist clinics and neurologist practices in Germany in 2022. Participants' disease control was rated by the physicians using their own judgment, and by completing the MANAGE-PD, and by the patients completing the Parkinson Check. Concordance was calculated between the unassisted physician's assessment and the outcome of MANAGE-PD, as well as the Parkinson Check. A total of 278 patients from 19 sites were included in the analyses, of whom 160 patients (57.6%) were assigned to the same category of disease control by physicians' judgment and the MANAGE-PD. Concordance was higher in patients treated in specialist clinics (63.9%) than in neurologist practices (43.7%). Concordance between physicians' and patients' responses was high (>80%) for each question in the Parkinson Check. MANAGE-PD proved to be especially valuable for general neurologists in identifying patients who should be referred to specialist clinics. The Parkinson Check self-assessment generated promising outcomes that merit its more widespread use.

Comment on "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"

The 5-2-1 criteria are intended to help general neurologists identify patients with advanced Parkinson's disease who may benefit from treatment optimisation, such as with a device-aided therapy. Although the 5-2-1 criteria claim to address an unmet need, we urge readers to cautiously interpret the results of this validation study.

Attitudes Toward the Adoption of Remote Patient Monitoring and Artificial Intelligence in Parkinson's Disease Management: Perspectives of Patients and Neurologists

OBJECTIVE

Early detection of Parkinson's Disease (PD) progression remains a challenge. As remote patient monitoring solutions (RMS) and artificial intelligence (AI) technologies emerge as potential aids for PD management, there's a gap in understanding how end users view these technologies. This research explores patient and neurologist perspectives on AI-assisted RMS.

METHODS

Qualitative interviews and focus-groups were conducted with 27 persons with PD (PwPD) and six neurologists from Finland and Italy. The discussions covered traditional disease progression detection and the prospects of integrating AI and RMS. Sessions were recorded, transcribed, and underwent thematic analysis.

RESULTS

The study involved five individual interviews (four Italian participants and one Finnish) and six focus-groups (four Finnish and two Italian) with PwPD. Additionally, six neurologists (three from each country) were interviewed. Both cohorts voiced frustration with current monitoring methods due to their limited real-time detection capabilities. However, there was enthusiasm for AI-assisted RMS, contingent upon its value addition, user-friendliness, and preservation of the doctor-patient bond. While some PwPD had privacy and trust concerns, the anticipated advantages in symptom regulation seemed to outweigh these apprehensions.

DISCUSSION

The study reveals a willingness among PwPD and neurologists to integrate RMS and AI into PD management. Widespread adoption requires these technologies to provide tangible clinical benefits, remain user-friendly, and uphold trust within the physician-patient relationship.

CONCLUSION

This study offers insights into the potential drivers and barriers for adopting AI-assisted RMS in PD care. Recognizing these factors is pivotal for the successful integration of these digital health tools in PD management.

Quality of life assessment when considering the introduction of device-assisted therapies in advanced Parkinson's disease: A retrospective observational cross-sectional study

INTRODUCTION

Device-aided therapy (DAT) is an established treatment for improving the quality of life (QOL) in individuals with advanced Parkinson's disease (APD). Criteria for starting DAT, including motor and non-motor symptoms, have been proposed. However, it remains unclear whether QOL differences among patients with APD influence DAT introduction. Therefore, we aimed to investigate QOL differences between patients with and without DAT introduction.

METHODS

This retrospective observational cross-sectional study included 245 patients with PD who were followed up between January 1, 2020, and June 30, 2022. We defined cases that underwent DAT introduction after evaluation as "planned-DAT" and those that did not as "not-planned-DAT." We performed between-group comparisons of the PD questionnaire-39 (PDQ-39) summary index (SI) in patients with APD who met the 5-2-1 criteria (≥5 times the oral levodopa dose/day, ≥2 h of "off" symptoms/day, and ≥ 1 h of troublesome dyskinesia/day).

RESULTS

Seventy-nine patients met the inclusion criteria for APD (median age: 68 [61.0-73.0] years; 62.8% [N = 52] women). The PDQ-39 SI scores were higher in the planned-DAT group (N = 12) than in the not-planned-DAT group (N = 67) (29.2 [22.1-33.6] vs. 19.0 [10.3-49.6] points, P < 0.05). After propensity-score matching according to age and sex, the PDQ-39 SI scores remained higher in the planned-DAT (N = 9) than in the not-planned-DAT group (N = 18) (40.0 [25.4-60.0] vs. 18.5 [7.9-46.8] points, P < 0.05).

CONCLUSIONS

Our results suggest that QOL assessment using PDQ-39 can be used to identify patients eligible for DAT.

Continuous subcutaneous foslevodopa/foscarbidopa infusion for the treatment of motor fluctuations in Parkinson's disease: Considerations for initiation and maintenance

Background

As Parkinson's disease (PD) advances, management is challenged by an increasingly variable and inconsistent response to oral dopaminergic therapy, requiring special considerations by the provider. Continuous 24 h/day subcutaneous infusion of foslevodopa/foscarbidopa (LDp/CDp) provides steady dopaminergic stimulation that can reduce symptom fluctuation.

Objective

Our aim is to review the initiation, optimization, and maintenance of LDp/CDp therapy, identify possible challenges, and share potential mitigations.

Methods

Review available LDp/CDp clinical trial data for practical considerations regarding the management of patients during LDp/CDp therapy initiation, optimization, and maintenance based on investigator clinical trial experience.

Results

LDp/CDp initiation, optimization, and maintenance can be done without hospitalization in the clinic setting. Continuous 24 h/day LDp/CDp infusion can offer more precise symptom control than oral medications, showing improvements in motor fluctuations during both daytime and nighttime hours. Challenges include infusion-site adverse events for which early detection and prompt management may be required, as well as systemic adverse events (eg, hallucinations) that may require adjustment of the infusion rate or other interventions. A learning curve should be anticipated with initiation of therapy, and expectation setting with patients and care partners is key to successful initiation and maintenance of therapy.

Conclusion

Continuous subcutaneous infusion of LDp/CDp represents a promising therapeutic option for individuals with PD. Individualized dose optimization during both daytime and nighttime hours, coupled with patient education, and early recognition of certain adverse events (plus their appropriate management) are required for the success of this minimally invasive and highly efficacious therapy.

Impact of Physical Exercise on Levodopa Therapy Across Parkinson's Disease Stages

Background

Levodopa is the gold standard of treatment in Parkinson's disease (PD). Its clinical effect changes as the disease progresses. Wearing off is a frequent first manifestation of motor fluctuations. Some patients with advanced PD report faster wearing off after physical exercise.

Objective

The aim was to assess if pharmacokinetics of levodopa is influenced by physical exercise in patients with different disease advancement.

Methods

22 patients with PD (12 untreated with levodopa and 10 with motor fluctuations) and 7 healthy controls (HC) were included. Plasma samples were collected at 9 fixed timepoints following administration of levodopa/benserazide 200/50 mg for two days: rest day and standardized physical exercise day. Clinical assessment with Unified Parkinson Disease Rating Scale part III (UPDRS III) was performed in fixed timepoints. Liquid chromatography-tandem mass spectrometry was used to measure levodopa concentrations.

Results

No differences between the HC, levodopa naïve and advanced PD groups were observed regarding selected pharmacokinetic parameters. In advanced PD and HC no differences in pharmacokinetic parameters of levodopa with and without effort were observed. In levodopa naïve PD group higher mean residence time after rest than after exercise (168.9±48.3 min vs. 145.5±50.8 min; p = 0.026) was observed. In advanced PD group higher UPDRS III score (14.45±5.5 versus 20.9±6.1 points, p = 0.04) was observed after exercise.

Conclusions

The deterioration of motor status of advanced PD patients after physical effort is not reflected by changes in pharmacokinetics but rather mediated by central mechanisms.

Real-world evidence generation from patients, their caregivers and physicians supporting clinical, regulatory and guideline decisions: an update on Disease Specific Programmes

OBJECTIVE

To update on and describe the role of Disease Specific Programmes (DSPs), a multi-perspective real-world data (RWD) source, in the context of the evolution of the value and acceptance of real-world evidence (RWE) in clinical, regulatory and guideline decision-making.

METHODS

DSPs are multi-national, multi-subscriber, multi-therapy cross-sectional surveys incorporating retrospective data collection from patient, caregiver and physician perspectives. Information collected covers the patient journey, including treatment/prescribing patterns and rationale, patient-reported outcomes, impact on work and everyday activities, attitudes towards and perceptions of the condition, adherence to treatment and burden of illness. Published peer-reviewed DSP papers were aligned with current key RWE themes identified in the literature, alongside their contribution to RWE.

RESULTS

RWE themes examined were: using RWE to inform clinical practice, patient and caregiver engagement, RWE role in supporting health technology assessments and regulatory submissions, informing value-driven healthcare decisions, real-world patient subgroup differences and therapeutic inertia/unmet needs; highlighting patients' and caregivers' experience of living with a disease, disconnect from their physicians, unmet needs and educational gaps.

CONCLUSIONS

DSPs provide a wealth of RWD in addition to evidence generated by registries, clinical trials and observational research, with wide use for the pharmaceutical industry, government, funding/regulatory bodies, clinical practice guideline insights and, most importantly, informing improvements in people's lives. The depth, breadth and heritage of information collected via DSPs since 1995 is unparalleled, extending understanding of how diseases are managed by physicians in routine clinical practice and why treatment choices are made, patients' perceptions of their disease management, and caregiver burden.

Towards improved access to device-aided therapies in advanced PD: the importance of cooperation of different disciplines

Managing the many issues in advanced Parkinson's disease (PD) requires education, continuous support, and specialized outpatient care involving a variety of allied healthcare professionals. It would be greatly appreciated if general neurologists and professionals from various disciplines who work with people diagnosed with Parkinson's disease (PwP) could remain knowledgeable about the existing therapies and their respective roles within the treatment continuum. The movement disorders specialist and the PD nurse are key actors in the coordination of a targeted and patient-empowering multidisciplinary approach for advanced PD. Affordable and timely access to these therapies for the PwP who may need them is presently a challenge for health systems. Education, training, and support for all the involved stakeholders in the process of PD care may improve quality of life both for PwP and caregivers, and reduce inadequate, expensive, time-consuming, and unsuccessful prolongation of standard medical therapies.

Tools and criteria to select patients with advanced Parkinson's disease for device-aided therapies: a narrative review

This article provides an overview of the various screening and selection tools which have been developed over the past 25 years to identify patients with Parkinson's disease (PD) possibly eligible for device-aided therapies (DATs). For the available screening tools, we describe the target therapies (subtypes of DAT), development methods, validation data, and their use in clinical practice. In addition, the historical background and potential utility of these screening tools are discussed. The challenges in developing and validating these tools are also addressed, taking into account the differences in population, the local health care organization, and resource availability.

Access to device-aided therapies in advanced Parkinson's disease: navigating clinician biases, patient preference, and prognostic uncertainty

Device-aided therapies (DAT), which include deep brain stimulation and pump-based continuous dopaminergic stimulation with either levodopa or apomorphine, are among the major advances in the clinical management of Parkinson's disease (PD). Although DAT are being increasingly offered earlier in the disease course, their classical indication remains advanced PD. Theoretically, every patient should be offered transition to DAT when faced with refractory motor and nonmotor fluctuations and functional decline. Worldwide clinical reality is far from these ideal, and, therefore, question the "real-world" equal opportunity of access to DAT for PD patients with advanced PD-even within a single health care system. Differences in access to care, referral pattern (timing and frequency), as well as physician biases (unconscious/implicit or conscious/explicit bias), and patients' preferences or health-seeking behaviour are to be considered. Compared to DBS, little information is available concerning infusion therapies, as well as neurologists' and patients' attitudes towards them. This viewpoint aims to be thought-provoking and to assist clinicians in moving through the process of DAT selection, by including in their decision algorithm their own biases, patient perspective, ethical concerns as well as the current unknowns surrounding PD prognosis and DAT-related long-term side effects for a given patient.

A scoping review of neurodegenerative manifestations in explainable digital phenotyping

Neurologists nowadays no longer view neurodegenerative diseases, like Parkinson's and Alzheimer's disease, as single entities, but rather as a spectrum of multifaceted symptoms with heterogeneous progression courses and treatment responses. The definition of the naturalistic behavioral repertoire of early neurodegenerative manifestations is still elusive, impeding early diagnosis and intervention. Central to this view is the role of artificial intelligence (AI) in reinforcing the depth of phenotypic information, thereby supporting the paradigm shift to precision medicine and personalized healthcare. This suggestion advocates the definition of disease subtypes in a new biomarker-supported nosology framework, yet without empirical consensus on standardization, reliability and interpretability. Although the well-defined neurodegenerative processes, linked to a triad of motor and non-motor preclinical symptoms, are detected by clinical intuition, we undertake an unbiased data-driven approach to identify different patterns of neuropathology distribution based on the naturalistic behavior data inherent to populations in-the-wild. We appraise the role of remote technologies in the definition of digital phenotyping specific to brain-, body- and social-level neurodegenerative subtle symptoms, emphasizing inter- and intra-patient variability powered by deep learning. As such, the present review endeavors to exploit digital technologies and AI to create disease-specific phenotypic explanations, facilitating the understanding of neurodegenerative diseases as "bio-psycho-social" conditions. Not only does this translational effort within explainable digital phenotyping foster the understanding of disease-induced traits, but it also enhances diagnostic and, eventually, treatment personalization.

Timely referral for device-aided therapy in Parkinson's disease. Development of a screening tool

BACKGROUND

Timely referral of Parkinson's disease (PD) patients to specialized centers for treatment with device-aided therapies (DAT) is suboptimal.

OBJECTIVE

To develop a screening tool for timely referral for DAT in PD and to compare the tool with the published 5-2-1 criteria.

METHODS

A cross-sectional, observational study was performed in 8 hospitals in the catchment area of a specialized movement disorder center in the Northern part of the Netherlands. The target population comprised PD patients not yet on DAT visiting the outpatient clinic of participating hospitals. The primary outcome was apparent eligibility for referral for DAT based on consensus by a panel of 5 experts in the field of DAT. Multivariable logistic regression modelling was used to develop a screening tool for eligibility for referral for DAT. Potential predictors were patient and disease characteristics as observed by attending neurologists.

RESULTS

In total, 259 consecutive PD patients were included, of whom 17 were deemed eligible for referral for DAT (point prevalence: 6.6%). Presence of response fluctuations and troublesome dyskinesias were the strongest independent predictors of being considered eligible. Both variables were included in the final model, as well as levodopa equivalent daily dose. Decision curve analysis revealed the new model outperforms the 5-2-1 criteria. A simple chart was constructed to provide guidance for referral. Discrimination of this simplified scoring system proved excellent (AUC after bootstrapping: 0.97).

CONCLUSIONS

Awaiting external validation, the developed screening tool already appears promising for timely referral and subsequent treatment with DAT in patients with PD.

Infusion Therapies in the Treatment of Parkinson's Disease

Oral levodopa is the gold-standard therapy for treating Parkinson's disease (PD) but after a few years of treatment the therapeutic window narrows, and patients often experience various treatment-related complications. Patients in this advanced PD stage may benefit from alternative therapy, such as continuous intrajejunal delivery of levodopa-carbidopa intestinal gel (LCIG; or carbidopa-levodopa enteral suspension), continuous intrajejunal delivery of levodopa-carbidopa-entacapone intestinal gel, or continuous subcutaneous apomorphine infusion. Consideration and initiation of infusion therapies in advanced PD are suggested before the onset of major disability. The present review summarizes clinical evidence for infusion therapy in advanced PD management, discusses available screening tools for advanced PD, and provides considerations around optimal use of infusion therapy.

Motor Fluctuations Development Is Associated with Non-Mostor Symptoms Burden Progression in Parkinson’s Disease Patients: A 2-Year Follow-Up Study

Objective: The aim of the present study was to analyze the progression of non-motor symptoms (NMS) burden in Parkinson’s disease (PD) patients regarding the development of motor fluctuations (MF). Methods: PD patients without MF at baseline, who were recruited from January 2016 to November 2017 (V0) and evaluated again at a 2-year follow-up (V2) from 35 centers of Spain from the COPPADIS cohort, were included in this analysis. MF development at V2 was defined as a score ≥ 1 in the item-39 of the UPDRS-Part IV, whereas NMS burden was defined according to the Non-motor Symptoms Scale (NMSS) total score. Results: Three hundred and thirty PD patients (62.67 ± 8.7 years old; 58.8% males) were included. From V0 to V2, 27.6% of the patients developed MF. The mean NMSS total score at baseline was higher in those patients who developed MF after the 2-year follow-up (46.34 ± 36.48 vs. 34.3 ± 29.07; p = 0.001). A greater increase in the NMSS total score from V0 to V2 was observed in patients who developed MF (+16.07 ± 37.37) compared to those who did not develop MF (+6.2 ± 25.8) (p = 0.021). Development of MF after a 2-year follow-up was associated with an increase in the NMSS total score (β = 0.128; p = 0.046) after adjustment to age, gender, years from symptoms onset, levodopa equivalent daily dose (LEDD) and the NMSS total score at baseline, and the change in LEDD from V0 to V2. Conclusions: In PD patients, the development of MF is associated with a greater increase in the NMS burden after a 2-year follow-up.