Staging dementia based on caregiver reported patient symptoms: Implications from a latent class analysis.

BACKGROUND: Tailoring interventions to the needs of caregivers is an important feature of successful caregiver support programs. To improve cost-effectiveness, group tailoring based on the stage of dementia could be a good alternative. However, existing staging strategies mostly depend on trained professionals. OBJECTIVE: This study aims to stage dementia based on caregiver reported symptoms of persons with dementia. METHODS: Latent class analysis was used. The classes derived were then mapped with disease duration to define the stages. Logistic regression with receiver operating characteristic curve was used to generate the optimal cut-offs. RESULTS: Latent class analysis suggested a 4-class solution, these four classes were named as early (25.9%), mild (25.2%), moderate (16.7%) and severe stage (32.3%). The stages based on the cut-offs generated achieved an overall accuracy of 90.8% compared to stages derived from latent class analysis. CONCLUSION: The current study confirmed that caregiver reported patient symptoms could be used to classify persons with dementia into different stages. The new staging strategy is a good complement of existing dementia clinical assessment tools in terms of better supporting informal caregivers.

Prevalence of Depression among Older Adults-Results from the Well-being of the Singapore Elderly Study

<p><b>INTRODUCTION</b>Depression is a significant public health issue across all sociodemographic groups and is identified as a common and serious mental health problem particularly among the older adult population. The aims of the current study were to determine the prevalence of depression and subsyndromal depression among older adults in Singapore.</p><p><b>MATERIALS AND METHODS</b>The Well-being of the Singapore Elderly (WiSE) study was a comprehensive single phase, cross-sectional survey. Stage 1 Geriatric Mental State-Automated Geriatric Examination for Computer Assisted Taxonomy (GMS-AGECAT) depression syndrome was used for this analysis. Association of depression and subsyndromal depression with sociodemographic characteristics, social support as well as comorbidity with chronic physical illnesses and quality of life was assessed.</p><p><b>RESULTS</b>The prevalence of GMS-AGECAT depression and subsyndromal depression was 3.7% and 13.4%, respectively. The odds of depression were significantly higher among those aged 75 to 84 (2.1) as compared to those aged 60 to 74 years and in those who had a history of depression diagnosis by a doctor (4.1). The odds of depression were higher among those of Indian and Malay ethnicities (5.2 and 3.2 times, respectively) as compared to those of Chinese ethnicity. Those with depression and subsyndromal depression were associated with more disability, poorer life satisfaction, and medical comorbidities.</p><p><b>CONCLUSION</b>Our study suggests that the prevalence of depression seems to have decreased as compared to a decade ago wherein the prevalence of depression was estimated to be 5.5%. This positive trend can be ascribed to concerted efforts across various disciplines and sectors, which need to be continually strengthened, monitored and evaluated.</p>

Prolonged Delirium Secondary to Hypoxic-ischemic Encephalopathy Following Cardiac Arrest

Hypoxic-ischemic brain injury encompasses a complex constellation of pathophysiological and cellular brain injury induced by hypoxia, ischemia, cytotoxicity, or combinations of these mechanisms and can result in poor outcomes including significant changes in personality and cognitive impairments in memory, cognition, and attention. We report a case of a male patient with normal premorbid functioning who developed prolonged delirium following hypoxic-ischemic brain insults subsequent to cardiac arrest. The case highlights the importance of adopting a multidisciplinary treatment approach involving the coordinated care of medical and nursing teams to optimise management of patients suffering from such a debilitating organic brain syndrome.