5-2-1 Criteria: A Simple Screening Tool for Identifying Advanced PD Patients Who Need an Optimization of Parkinson's Treatment

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.

Neuroprotective potential of formononetin, a naturally occurring isoflavone phytoestrogen

The increased prevalence of neurological illnesses is a burgeoning challenge to the public healthcare system and presents greater financial pressure. Formononetin, an O-methylated isoflavone, has gained a lot of attention due to its neuroprotective potential explored in several investigations. Formononetin is widely found in legumes and several types of clovers including Trifolium pratense L., Astragalus membranaceus, Sophora tomentosa, etc. Formononetin modulates various endogenous mediators to confer neuroprotection. It prevents RAGE activation that results in the inhibition of neuronal damage via downregulating the level of ROS and proinflammatory cytokines. Furthermore, formononetin also increases the expression of ADAM-10, which affects the pathology of neurodegenerative disease by lowering tau phosphorylation, maintaining synaptic plasticity, and boosting hippocampus neurogenesis. Besides these, formononetin also increases the expression of antioxidants, Nrf-2, PI3K, ApoJ, and LRP1. Whereas, reduces the expression of p65-NF-κB and proinflammatory cytokines. It also inhibits the deposition of Aβ and MAO-B activity. An inhibition of Aβ/RAGE-induced activation of MAPK and NOX governs the protection elicited by formononetin against inflammatory and oxidative stress-induced neuronal damage. Besides this, PI3K/Akt and ER-α-mediated activation of ADAM10, ApoJ/LRP1-mediated clearance of Aβ, and MAO-B inhibition-mediated preservation of dopaminergic neurons integrity are the major modulations produced by formononetin. This review covers the biosynthesis of formononetin and key molecular pathways modulated by formononetin to confer neuroprotection.

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.

Holter STAT-ON™ against other tools for detecting MF in advanced Parkinson's disease: an observational study

Background

Different screening tools to identify advanced Parkinson's disease (APD) have emerged in recent years. Among them, wearable medical devices, such as STAT-ON™, have been proposed to help to objectively detect APD.

Objectives

To analyze the correlation between STAT-ON™ reports and other assessment tools to identify APD and to assess the accuracy of screening tools in APD patients, using the STAT-ON™ as the gold standard.

Methods

In this retrospective, observational study, data from the University Hospital Complex of Pontevedra database on 44 patients with potential APD who wore STAT-ON™ were extracted. Data were collected according to different sources of tools for identifying APD: (1) STAT-ON™, (2) information provided by the patient, (3) questionnaire for advanced Parkinson's disease (CDEPA), (4) 5-2-1 Criteria, and (5) Making Informed Decisions to Aid Timely Management of Parkinson's Disease (MANAGE-PD). Considering STAT-ON™ recordings as a reference, the sensitivity, specificity, and positive and negative predictive values for each tool were calculated. The kappa index assessed the degree of agreement between the gold standard and the other instruments.

Results

Although no statistically significant association was found between STAT-ON™ recordings and any screening methods evaluated, the CDEPA questionnaire demonstrated the highest sensitivity and VPN values to detect patients with APD candidates for second-line therapy (SLT). According to the correlation analyses, MANAGE-PD demonstrated the highest degree of concordance with STAT-ON™ recordings to identify the SLT indication and to predict the SLT decision.

Conclusion

STAT-ON™ device may be a helpful tool to detect APD and to guide treatment decisions.

Validation of the OPTIMIPARK Questionnaire: A Tool to Optimize Treatment in Parkinson's Disease

Background

Dopamine replacement therapy reduces most motor and nonmotor features of Parkinson's disease. However, with disease progression, adjustments of dopaminergics and the application of advanced therapies must be considered.

Objectives

To validate the OPTIMIPARK questionnaire as a tool to help clinicians make therapeutic decisions on patients treated with levodopa.

Methods

We tested a questionnaire including 9 items encompassing motor and nonmotor signs, complications, and disability in a multicenter, observational, cross-sectional study. A neurologist (neurologist 1 [N1]) assessed patients according to regular clinical practice and blinded to the OPTIMIPARK questionnaire score. Therapeutic decisions were classified as "no changes," "adjustment of conventional treatment," and "advanced therapy indicated." External neurologists (neurologist 3 [N3] and neurologist 4 [N4]), who only knew the patient age, years of disease, and current treatment, made their therapeutic decisions based on the OPTIMIPARK score. Concordance between the criterion of the N1 versus the OPTIMIPARK-based N3-N4 consensus was analyzed applying weighted κ. The area under Receiving Operating Characteristic (ROC) curves was calculated for OPTIMIPARK scores.

Results

A total of 113 patients with Parkinson's disease were included. The OPTIMIPARK-based decision led to a higher proportion of patients requiring therapeutic modification than N1 assessment (74% vs. 60%; P = 0.002). Concordance between the N1 and N3-N4 decisions was moderate, whereas interobserver agreement among N3 and N4 was high. Area Under the Curve(AUC) values of 0.83 and 0.82 were found for "no changes" and "advanced therapy indicated" decisions by the N1 neurologist.

Conclusions

OPTIMIPARK might be more sensitive than regular clinical practice in suggesting the need for a therapeutic change. Furthermore, the low and high scores identify with high accuracy well-adjusted patients and candidates for advanced therapy, respectively.

Management of advanced Parkinson’s disease in Israel: Clinicians viewpoint and action items

Parkinson’s disease (PD) is taking a staggering toll on healthcare systems worldwide, with the bulk of the expenditures invested in the late stages of the disease. Considering the rising life expectancy and the increasing prevalence of PD across the globe, a clear understanding of the early signs and treatment options available for advanced PD (APD), will facilitate tailoring management programs and support services. This task is complicated by the lack of both global consensus in defining APD and standardized care guidelines. This perspective prepared by a panel of movement disorder specialists, proposes to extend and optimize currently accepted PD coding to better reflect the diverse disease manifestations, with emphasis on non-motor features. The panel seeks to promote timely diagnosis by adjustment of evaluation tools for use by community neurologists and suggests modification of eligibility criteria for advanced therapy. Moreover, it advocates multidisciplinary assessments of APD patients to drive personalized, patient-centered and holistic management. Overall, earlier and more targeted intervention is expected to markedly improve patient quality of life.

The Cost Effectiveness of Levodopa-Carbidopa Intestinal Gel in the Treatment of Advanced Parkinson's Disease in England

BACKGROUND

Parkinson's disease is a progressive neurodegenerative disease, which significantly impacts patients' quality of life and is associated with high treatment and direct healthcare costs. In England, levodopa/carbidopa intestinal gel (LCIG) is indicated for the treatment of levodopa-responsive advanced Parkinson's disease with troublesome motor fluctuations when available combinations of medicinal products are unsatisfactory.

OBJECTIVE

We aimed to determine the cost effectiveness of LCIG compared to the standard of care for patients with advanced Parkinson's disease in England, using real-world data.

METHODS

A Markov model was adapted from previous published studies, using the perspective of the English National Health System and Personal and Social Services to evaluate the cost effectiveness of LCIG compared to standard of care in patients with advanced Parkinson's disease over a 20-year time horizon. The model comprised 25 health states, defined by a combination of the Hoehn and Yahr scale, and waking time spent in OFF-time. The base case considered an initial cohort of patients with an Hoehn and Yahr score of ≥ 3, and > 4 h OFF-time. Standard of care comprised standard oral therapies, and a proportion of patients were assumed to be treated with subcutaneous apomorphine infusion or injection in addition to oral therapies. Efficacy inputs were based on LCIG clinical trials where possible. Resource use and utility values were based on results of a large-scale observational study, and costs were derived from the latest published UK data, valued at 2017 prices. The EuroQol five-dimensions-3-level (EQ-5D-3L) instrument was used to measure utilities. Costs and quality-adjusted life-years were discounted at 3.5%. Both deterministic and probabilistic sensitivity analyses were conducted.

RESULTS

Total costs and quality-adjusted life-years gained for LCIG vs standard of care were £586,832 vs £554,022, and 2.82 vs 1.43, respectively. The incremental cost-effectiveness ratio for LCIG compared to standard of care was £23,649/quality-adjusted life-year. Results were sensitive to the healthcare resource utilisation based on real-world data, and long-term efficacy of LCIG.

CONCLUSIONS

The base-case incremental cost-effectiveness ratio was estimated to be within the acceptable thresholds for cost effectiveness considered for England.

Long-Term Persistence and Monotherapy with Device-Aided Therapies: A Retrospective Analysis of an Israeli Cohort of Patients with Advanced Parkinson's Disease

INTRODUCTION

Patients with advanced Parkinson's disease (PD) may require device-aided therapies (DAT) for adequate symptom control. However, long-term, real-world efficacy and safety data are limited. This study aims to describe real-world, long-term treatment persistence for patients with PD treated with levodopa-carbidopa intestinal gel (LCIG). The study also aims to describe patient profiles, treatment discontinuation rates, co-medication patterns, monotherapy rates, and rates of healthcare visits and their associated costs for patients receiving all forms of DAT (deep brain stimulation [DBS], continuous subcutaneous apomorphine infusion [CSAI], or LCIG).

METHODS

In this retrospective analysis of the Israeli Maccabi Healthcare Services database, adult patients with PD were analyzed in three cohorts, based on DAT (DBS, CSAI, or LCIG). The primary endpoint was LCIG treatment persistence 12 months after initiation.

RESULTS

This analysis included 161 DAT-treated patients (LCIG, n = 62; DBS, n = 76; CSAI, n = 23). Among those who discontinued, the mean time to discontinuation was 86.4 months for LCIG and 42.4 months for CSAI (p = 0.046). Twelve months after initiation, 14.3% LCIG, 10.7% DBS, and 5.9% CSAI patients were not receiving any additional anti-parkinsonian therapy. At the last recorded visit, 28.6% LCIG, 13.3% DBS, and 5.9% CSAI patients received DAT as monotherapy. During the first 12 months after initiation, 45.2% LCIG, 65.2% CSAI, and 1.3% DBS patients had no reported hospitalization days. Annual healthcare visit costs decreased following LCIG initiation (US$9491 vs. $8146) and increased following DBS ($4113 vs. $7677) and CSAI ($6378 vs. $8277).

CONCLUSION

DAT are well maintained in patients with advanced PD. These retrospective data suggest that patients receiving LCIG may have higher long-term persistence rates compared with patients receiving CSAI. A subgroup of patients was treated with DAT as monotherapy without additional oral anti-parkinsonian therapy, with LCIG showing the highest rates.

Advanced‐Stage Parkinson's disease: From Identification to Characterization Using a Nationwide Database

Background

As Parkinson's disease (PD) progresses, response to oral medications decreases and motor complications appear. Timely intervention has been demonstrated as effective in reducing symptoms. However, current instruments for the identification of these patients are often complicated and inadequate. It has been suggested that anti-PD intensified therapy (IT) can serve as a proxy for increased burden of disease.

Objective

To explore whether IT aligns with events reflecting advanced PD (APD) burden.

Methods

This was a retrospective analysis of PD beneficiaries in the second-largest healthcare provider in Israel. Patients with PD diagnosed between January 2000 and June 2018 and treated with levodopa (l-dopa) ≥5 times/day and/or ≥1000 mg l-dopa equivalent daily dose were defined as the IT cohort (n = 2037). Treated patients with PD not fulfilling this criterion were defined as the nonintensified therapy (NIT) cohort (n = 3402). Point prevalence and 5- and 10-year cumulative incidence of IT were assessed. Baseline demographic and comorbidities, 1-year healthcare resource use, health costs, and time to clinical events were assessed and compared between cohorts.

Results

IT was associated with significantly (P < 0.05) higher healthcare resource use compared with NIT. In turn, IT patients incurred higher healthcare costs (P < 0.001) and were at greater risk for mortality, hospitalization, disability, and device-aided therapy use (P < 0.001, for all comparisons).

Conclusions

Treatment intensity can serve as an objective and robust indicator of more APD. This readily extractable marker can be easily integrated into electronic medical record alerts to actively target more advanced patients and to guide risk-appropriate care.

Psychometric Properties of Clinical Indicators for Identification and Management of Advanced Parkinson's Disease: Real-World Evidence From G7 Countries

INTRODUCTION

Standardized and validated criteria to define advanced Parkinson's disease (PD) or identify patient eligibility for device-aided therapy are needed. This study assessed the psychometric properties of clinical indicators of advanced PD and eligibility for device-aided therapy in a large population.

METHODS

This retrospective analysis of the Adelphi Parkinson's Disease Specific Programme collected data from device-aided therapy-naïve people with PD in G7 countries. We assessed the presence of 15 clinical indicators of advancing PD and seven indicators of eligibility for device-aided therapy in patients classified with advanced PD or as eligible for device-aided therapy by the treating physician. Accuracy was assessed using area under the curve (AUC) and multivariable logistic regression models. Construct validity was examined via known-group comparisons of disease severity and burden among patients with and without each clinical indicator.

RESULTS

Of 4714 PD patients, 14.9% were classified with advanced PD and 17.5% as eligible for device-aided therapy by physician judgment. The presence of each clinical indicator was 1.9- to 7.3-fold more likely in patients classified with advanced PD. Similarly, the presence of device-aided therapy eligibility indicators was 1.8- to 5.5-fold more likely in patients considered eligible for device-aided therapy. All indicators demonstrated high clinical screening accuracy for identifying advanced PD (AUC range 0.84-0.89) and patients eligible for device-aided therapy (AUC range 0.73-0.80). The Unified Parkinson's Disease Rating Scale (UPDRS) score, cognitive function, quality of life, and caregiver burden were significantly worse in indicator-positive patients.

CONCLUSION

Specific clinical indicators of advanced PD and eligibility for device-aided therapy demonstrated excellent psychometric properties in a large sample, and thus may provide an objective and reliable approach for patient identification and treatment optimization.

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

INTRODUCTION

Research comparing levodopa/carbidopa intestinal gel (LCIG), deep brain stimulation (DBS), and continuous subcutaneous apomorphine infusion (CSAI) for advanced Parkinson's disease (PD) is lacking. This network meta-analysis (NMA) assessed the comparative effectiveness of LCIG, DBS, CSAI and best medical therapy (BMT) in reducing off-time and improving quality of life (QoL) in patients with advanced PD.

METHODS

A systematic literature review was conducted for randomized controlled trials (RCTs), observational and interventional studies from January 2003 to September 2019. Data extracted at baseline and 6 months were off-time, as reported by diary or Unified Parkinson's Disease Rating Scale Part IV item 39, and QoL, as reported by Parkinson's Disease Questionnaire (PDQ-39/PDQ-8). Bayesian NMA was performed to estimate pooled treatment effect sizes and to rank treatments in order of effectiveness.

RESULTS

A total of 22 studies fulfilled the inclusion criteria (n = 2063 patients): four RCTs, and 16 single-armed, one 2-armed and one 3-armed prospective studies. Baseline mean age was between 55.5-70.9 years, duration of PD was 9.1-15.3 years, off-time ranged from 5.4 to 8.7 h/day in 9 studies, and PDQ scores ranged from 28.8 to 67.0 in 19 studies. Levodopa/carbidopa intestinal gel and DBS demonstrated significantly greater improvement in off-time and QoL at 6 months compared with CSAI and BMT (p < 0.05). There was no significant difference in the effects of LCIG and DBS, but DBS was ranked first for reduction in off-time, and LCIG was ranked first for improvement in QoL.

CONCLUSIONS

This NMA found that LCIG and DBS were associated with superior improvement in off-time and PD-related QoL compared with CSAI and BMT at 6 months after treatment initiation. This comparative effectiveness research may assist providers, patients, and caregivers in the selection of the optimal device-aided therapy.

MNCD: A New Tool for Classifying Parkinson’s Disease in Daily Clinical Practice

Background and objective: Parkinson’s disease (PD) is a clinically heterogeneous disorder in which the symptoms and prognosis can be very different among patients. We propose a new simple classification to identify key symptoms and staging in PD. Patients and Methods: Sixteen movement disorders specialists from Spain participated in this project. The classification was consensually approved after a discussion and review process from June to October 2021. The TNM classification and the National Institutes of Health Stroke Scale (NIHSS) were considered as models in the design. Results: The classification was named MNCD and included 4 major axes: (1) motor symptoms; (2) non-motor symptoms; (3) cognition; (4) dependency for activities of daily living (ADL). Motor axis included 4 sub-axes: (1) motor fluctuations; (2) dyskinesia; (3) axial symptoms; (4) tremor. Four other sub-axes were included in the non-motor axis: (1) neuropsychiatric symptoms; (2) autonomic dysfunction; (3) sleep disturbances and fatigue; (4) pain and sensory disorders. According to the MNCD, 5 stages were considered, from stage 1 (no disabling motor or non-motor symptoms with normal cognition and independency for ADL) to 5 (dementia and dependency for basic ADL). Conclusions: A new simple classification of PD is proposed. The MNCD classification includes 4 major axes and 5 stages to identify key symptoms and monitor the evolution of the disease in patients with PD. It is necessary to apply this proof of concept in a properly designed study.

Off Time Independently Affects Quality of Life in Advanced Parkinson's Disease (APD) Patients but Not in Non-APD Patients: Results from the Self-Reported Japanese Quality-of-Life Survey of Parkinson's Disease (JAQPAD) Study

INTRODUCTION

Parkinson's disease (PD) is characterized by a triad of motor symptoms and several nonmotor symptoms (NMS). Identifying the most appropriate treatment is essential for improving patient quality of life (QoL). However, it is still not known which PD symptoms more commonly affect patients with advanced PD (APD) versus non-APD. This study examined the factors that most affected the QoL of patients with APD (defined using the 5-2-1 criteria: ≥5 oral levodopa doses a day, off time ≥2 hours a day, or troublesome dyskinesia ≥1 hour a day) versus non-APD in a large Japanese population using the Japanese Quality-of-Life Survey of Parkinson's Disease (JAQPAD) study.

METHODS

Participants in this self-reported survey-based study included all members of the Japan Parkinson's Disease Association. Questionnaires assessing NMS and QoL (e.g., the 8-item PD Questionnaire [PDQ-8]) were included. Univariate and multivariate regression analyses were conducted to identify clinical factors impacting QoL using the PDQ-8 Summary Index (PDQ-8 SI).

RESULTS

Of the 3022 eligible patients, 864 were classified as having non-APD and 1599 as having APD. QoL as assessed by the PDQ-8 SI was notably worse in patients with APD versus non-APD (39.2 vs. 26.9, p < 0.0001). Although off time affected QoL only in patients with APD, PD duration and the NMS Questionnaire score significantly contributed to the QoL in both patients with APD and non-APD.

CONCLUSIONS

This study identified the factors more commonly associated with worse QoL in patients with APD versus non-APD. Our findings offer new insights for providing optimal treatment and improving treatment satisfaction in patients with PD.