Oral Presentation Australian and New Zealand Society for Geriatric Medicine Annual Scientific Meeting 2025

Factors Associated with a Diagnosis of Alzheimer’s Dementia at a Later Stage: A Cross-sectional Analysis of the Australian Dementia Network Registry (120176)

Rowan Abdelwahab 1 , Xiaoping Lin 2 , Mohammed Amin Honardoost 2 , Susannah Ahern 2 , Kasey Wallis 2 , Henry Brodaty 3 , Stephanie Ward 1 2 3
  1. Geriatric Medicine, Prince of Wales Hospital, Sydney, NSW, Australia
  2. School of Public health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia
  3. Centre for Healthy Brain Ageing, University of New South Wales, Sydney, NSW, Australia

Aims: Diagnosis of Alzheimer’s Dementia (AD) at a later stage can preclude patients from the opportunity to fully participate in post-diagnostic programs, clinical trials, future planning and to access emerging treatments. This study investigated the prevalence and factors associated with diagnosis of AD at a later stage in an Australian population.

Methods: Cross-sectional analysis of baseline clinical data of participants in the Australian Dementia Network (ADNeT) Registry with newly diagnosed AD between 2020-2023. Later-stage diagnosis was defined by a Mini-Mental State Examination score <22/30, or, if unavailable, scores on the Rowland Universal Dementia Assessment Scale (<22/30) or Montreal Cognitive Assessment (<16/30). Multivariable logistic regression was used to identify demographic, clinical, and health service factors associated with later-stage diagnosis.

Results: Of 2,287 participants, 47.4% were diagnosed at a later stage. Lower educational attainment (OR = 5.33, 95% CI 3.83-7.43), Non-English-speaking status (OR = 2.67, 95% CI = 1.93-3.70), living with others (OR = 1.48, 95% CI = 1.19-1.82) and mixed dementia pathology (OR = 1.64, 95% CI = 1.37-1.96) were all significantly associated with a diagnosis at a later-stage in adjusted multivariate models.

Conclusion: Almost half of individuals newly diagnosed with AD in Australian memory clinics contributing to the ADNeT Registry, receive their diagnosis at a later stage. Recognition of the characteristics associated with this, as identified in this study, can help inform interventions to enable more timely diagnosis and access to post-diagnostic care and treatment in these at risk-populations.