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Alzheimer's Association International Conference 2026

July 12-15, 2026 | London, United Kingdom, and Online

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13717

Nationwide Real-world Analysis Of Memantine Use In Dementia: The Current Care Landscape In Hungary

Part of Topic

Dementia Care and Psychosocial Factors -> Dementia Care and Health Services Research -> Healthcare information and technology (e.g., real-world data, health information exchange, AI in healthcare, patient registry)

NATIONWIDE REAL WORLD ANALYSIS OF MEMANTINE USE IN DEMENTIA: THE CURRENT CARE LANDSCAPE IN HUNGARY

 

INTRODUCTION

Dementia is a leading cause of dependency and disability; therefore, it is a public health priority that requires the development of national strategies to reduce its economic and social burden and to ensure that the healthcare system is prepared for the implementation of emerging disease-modifying therapies.

AIMS

The aim of this nationwide retrospective cohort study was to systematically assess the current state of dementia care, focusing on pharmacological treatment practices, particularly memantine, and their impact on survival.

METHODS

DATA SOURCE AND TIMEFRAME

We utilised the NEUROHUN nationwide healthcare administrative database, which encompasses both inpatient and outpatient care data, as well as pharmacy reports. For this study, we analysed the observation period from 2010 to 2020.

STATISTICAL ANALYSIS

Descriptive statistics were used for baseline characterisation. Kaplan–Meier survival curves and log-rank tests were applied for unadjusted time-to-event analysis, and multivariable Cox proportional hazards models were used for adjusted mortality risk estimation. Adherence and persistence were calculated based on prescription fill patterns.

SELECTION OF PATIENTS

Patients with dementia and MCI were identified based on ICD-10 codes and subsequently classified, as detailed in the methods table.

 

OUTCOMES

Primary outcome: all-cause mortality.

Secondary outcome: treatment persistence, defined as time to discontinuation of memantine treatment.

Sex, age at diagnosis, diagnostic reclas-sification, the order of medications prescribed, and changes in place of residence were evaluated.

CONCLUSIONS

Early and accurate diagnosis is essential to meaningfully modify cognitive trajectories. Dementia care must shift toward personalised medicine, acknowledging interindividual heterogeneity in risk, pathophysiology, and clinical phenotype. Given the overlap with risk factors of other non-communicable diseases, effective management requires interdisci-plinary integration and cross-specialty collaboration. Scalable digital cognitive assess-ment may facilitate early detection, risk stratification, and longitudinal monitoring, supporting targeted risk reduction and the identification of individuals in preclinical and prodromal stages, enabling timelyaccess to appropriate interventions and improving population-level outcomes.

 
 
 

 

 
 
 

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