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.

Effectiveness and safety of levodopa-entacapone-carbidopa infusion in Parkinson disease: A real-world data study.

Background And Purpose: Levodopa-entacapone-carbidopa intestinal gel (LECIG) infusion is a recently developed device-aided therapy for advanced Parkinson disease (PD) patients. The aim of this study was to report real-world evidence about the effectiveness, tolerability, and safety of LECIG in PD patients.

Methods: A multicenter observational retrospective study of the first patients who initiated LECIG in Spain was performed.

Levodopa-Induced Dyskinesias are Frequent and Impact Quality of Life in Parkinson's Disease: A 5-Year Follow-Up Study.

Background: Levodopa-induced dyskinesias (LID) are frequent in Parkinson's disease (PD).

Objective: To analyze the change in the frequency of LID over time, identify LID related factors, and characterize how LID impact on patients' quality of life (QoL).

Patients And Methods: PD patients from the 5-year follow-up COPPADIS cohort were included.