Publications by authors named "Yat Fung Shea"

Rationale And Objectives: Prior to clinical presentations of Alzheimer's Disease (AD), neuropathological changes, such as amyloid-β and brain atrophy, have accumulated at the earlier stages of the disease. The combination of such biomarkers assessed by multiple modalities commonly improves the likelihood of AD etiology. We aimed to explore the discriminative ability of Aβ PET features and whether combining Aβ PET and structural MRI features can improve the classification performance of the machine learning model in older healthy control (OHC) and mild cognitive impairment (MCI) from AD.

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Artificial intelligence has demonstrated a promising potential for diagnosing complex medical cases, with Generative Pre-Trained Transformer 4 (GPT-4) being the most recent advancement in this field. This study evaluated the diagnostic performance of the GPT-4 in comparison with that of its predecessor, GPT-3.5, using 81 complex medical case records from the New England Journal of Medicine .

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Generative pre-trained transformer 4 (GPT-4) is an artificial intelligence (AI) system with a chat interface. The number of studies testing GPT-4 in clinical applications has been increasing. We hypothesized that GPT-4 would be able to suggest management strategies for medical issues in elderly oncology patients, similar to those provided by geriatricians.

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Background: Dementia presents a significant burden to patients and healthcare systems worldwide. Early and accurate diagnosis, as well as differential diagnosis of various types of dementia, are crucial for timely intervention and management. However, there is currently a lack of clinical tools for accurately distinguishing between these types.

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Structural and diffusion kurtosis imaging (DKI) can be used to assess hippocampal macrostructural and microstructural alterations respectively, in Alzheimer's disease (AD) spectrum, spanning from subjective cognitive decline (SCD) to mild cognitive impairment (MCI) and AD. In this study, we explored the diagnostic performance of structural imaging and DKI of the hippocampus in the AD spectrum. Eleven SCD, thirty-seven MCI, sixteen AD, and nineteen age- and sex-matched normal controls (NCs) were included.

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Introduction And Aims: Alzheimer's disease (AD) is characterized by the abnormal accumulation of hyperphosphorylated tau proteins and amyloid-beta (Aβ) peptides. Recent studies have shown that many microRNAs (miRNAs) are dysregulated in AD, and modulation of these miRNAs can influence the development of tau and Aβ pathology. The brain-specific miRNA miR-128, encoded by MIR128-1 and MIR128-2, is important for brain development and dysregulated in AD.

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Introduction: Amyloid-β protein (Aβ) is one of the biomarkers for Alzheimer's disease (AD). The recent application of interhemispheric functional connectivity (IFC) in resting-state fMRI has been used as a non-invasive diagnostic tool for early dementia. In this study, we focused on the level of Aβ accumulated and its effects on the major functional networks, including default mode network (DMN), central executive network (CEN), salience network (SN), self-referential network (SRN) and sensory motor network (SMN).

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Background: Patients with type 2 diabetes mellitus (T2DM) and subjective cognitive decline (SCD) have a higher risk to develop Alzheimer's Disease (AD). Resting-state-functional magnetic resonance imaging (rs-fMRI) was used to document neurological involvement in the two groups from the aspect of brain dysfunction. Accumulation of amyloid-β (Aβ) starts decades ago before the onset of clinical symptoms and may already have been associated with brain function in high-risk populations.

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To evaluate the incremental diagnostic value of 18F-Flutemetamol PET following MRI measurements on an unselected prospective cohort collected from a memory clinic. A total of 84 participants was included in this study. A stepwise study design was performed including initial analysis (based on clinical assessments), interim analysis (revision of initial analysis post-MRI) and final analysis (revision of interim analysis post-18F-Flutemetamol PET).

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Objectives: To compare survival and pneumonia risk among hospitalized patients with advanced dementia on nasogastric tube feeding (NGF) vs careful hand feeding (CHF) and to examine outcomes by feeding problem type.

Design: Retrospective cohort study.

Setting And Participants: Advanced dementia patients aged ≥60 years with indication for tube feeding admitted to 2 geriatric convalescent hospitals between January 1, 2015, and June 30, 2019.

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Article Synopsis
  • Mild behavioural impairment (MBI) is a syndrome with persistent neuropsychiatric symptoms appearing later in life, found to be common among individuals with normal cognition (CN), subjective cognitive impairment (SCI), and mild cognitive impairment (MCI).
  • A meta-analysis of ten studies involving over 12,000 subjects revealed that affective dysregulation (AFD) and impulse dyscontrol (IDS) have the highest prevalence rates among MBI domains across all cognitive categories.
  • Despite the increase in overall MBI prevalence from CN to SCI to MCI, there were no significant differences in specific MBI domain prevalence among these cognitive subgroups, highlighting AFD and IDS as critical areas of focus in clinical settings.
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Background: The coronavirus disease 2019 (COVID-19) pandemic has caused recurring and major outbreaks in multiple human populations around the world. The plethora of clinical presentations of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has been described extensively, of which olfactory dysfunction (OD) was established as an important and common extrapulmonary manifestation of COVID-19 infection. The aim of this protocol is to conduct a systematic review and meta-analysis on peer-reviewed articles which described clinical data of OD in COVID-19 patients.

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Alzheimer's disease (AD) is the commonest cause of dementia, characterized by the clinical presentation of progressive anterograde episodic memory impairment. However, atypical presentation of patients is increasingly recognized. These atypical AD include logopenic aphasia, behavioural variant AD, posterior cortical atrophy, and corticobasal syndrome.

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Background: With the more widespread use of 18F-radioligand-based amyloid-β (Aβ) PET-CT imaging, we evaluated Aβ binding and the utility of neocortical 18F-Flutemetamol standardized uptake value ratio (SUVR) as a biomarker.

Objective: 18F-Flutemetamol SUVR was used to differentiate 1) mild cognitive impairment (MCI) from Alzheimer's disease (AD), and 2) MCI from other non-AD dementias (OD).

Methods: 109 patients consecutively recruited from a University memory clinic underwent clinical evaluation, neuropsychological test, MRI and 18F-Flutemetamol PET-CT.

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Article Synopsis
  • * Meta-analysis of 11 studies showed a pooled MBI prevalence rate of 33.5%, with higher prevalence in MCI (45.5%) compared to cognitively normal subjects (17.0%) and those with subjective cognitive impairment (35.8%).
  • * The research highlights MBI's significant role in cognitive decline and its links to Alzheimer’s disease pathology and genetics, suggesting that understanding MBI is crucial for future clinical trials and interventions.
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Aims: Sexual dimorphism has been reported in the epidemiology, neurobiologic susceptibility and clinical presentation of Alzheimer's disease (AD). As poor glycaemic control is associated with increased risks of AD, we aimed to investigate whether glycaemia-related risk factors also differ between men and women, using a retrospective, sex-specific analysis of a large Chinese cohort with diabetes.

Materials & Methods: A total of 85,514 Chinese individuals with type 2 diabetes (T2D; 46,783 women and 38,731 men), aged ≥60 years, were identified from electronic health records and observed for incident AD.

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Introduction: Alzheimer's disease (AD) and Lewy body dementia (LBD) are two common forms of dementia. There are still controversies regarding whether LBD patients have a worse clinical course than AD patients.

Methods: We retrospectively reviewed all biomarkers that supported AD and LBD patients presenting to the Memory Clinic of Queen Mary Hospital, Hong Kong, between 1 January 2008 and 30 December 2016.

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Background: Cognitive impairment (CI) is common among patients on peritoneal dialysis (PD), but it is under-recognized and systematic review on its prevalence and impact across different geographical locations or patient characteristics is lacking.

Methods: A search of the literature on CI in PD patients published between 1 Jan 1980 and 25April 2019 was conducted. Meta-analysis using a random effects model was performed to determine the pooled estimate of the prevalence of CI.

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