Percorrer por autor "Parra, Juan Carlos"
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- Economic burden of Parkinson’s disease : a multinational, real-world, cost-of-illness studyPublication . Chaudhuri, K. Ray; Azulay, Jean-Philippe; Odin, Per; Lindvall, Susanna; Domingos, Josefa; Alobaidi, Ali; Kandukuri, Prasanna L.; Chaudhari, Vivek S.; Parra, Juan Carlos; Yamazaki, Toru; Oddsdottir, Julia; Wright, Jack; Martinez-Martin, PabloBackground: Parkinson’s disease is now one of the fastest-growing neurodegenerative disorders in the developed world, with an increasing prevalence and associated socioeconomic costs. Progression of the disease leads to a gradual deterioration in patients’ quality of life, despite optimal treatment, and both medical and societal needs increase, often with the assistance of paid and/or unpaid caregivers. Objective: We aimed to quantify the incremental economic burden of Parkinson’s disease by disease severity in a real-world setting across differing geographic regions. Methods: Demographics, clinical characteristics, health status, patient quality of life, caregiver burden, and healthcare resource utilization data were drawn from the Adelphi Parkinson’s Disease Specific Program™, conducted in the USA, five European countries, and Japan. Results: A total of 563 neurologists provided data for 5299 individuals with Parkinson’s disease; 61% were male, with a mean age of 64 years. Approximately 15% of individuals were deemed to have advanced disease, with significantly more comorbidities, and a poorer quality of life, than those with non-advanced disease. Overall, the mean annual healthcare resource utilization increased significantly with advancing disease, and resulted in a three-fold difference in the USA and Europe. The main drivers behind the high economic burden included hospitalizations, prescription medications, and indirect costs. Conclusions: People with Parkinson’s disease, and their caregivers, incur a higher economic burden as their disease progresses. Future interventions that can control symptoms or slow disease progression could reduce the burden on people with Parkinson’s disease and their caregivers, whilst also substantially impacting societal costs.
- Psychometric properties of clinical indicators for identification and management of advanced Parkinson’s disease : real-world evidence from G7 countriesPublication . Antonini, Angelo; Pahwa, Rajesh; Odin, Per; Henriksen, Tove; Soileau, Michael J.; Rodriguez-Cruz, Ramon; Isaacson, Stuart H.; Merola, Aristide; Lindvall, Susanna; Domingos, Josefa; Alobaidi, Ali; Jalundhwala, Yash J.; Kandukuri, Prasanna L.; Parra, Juan Carlos; Kukreja, Pavnit K.; Onuk, Koray; Bergmann, Lars; Pike, James; Chaudhuri, K. RayIntroduction: 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.