INTRODUCTION: Interpretation and analysis of magnetic resonance imaging (MRI) scans in clinical settings comprise time-consuming visual ratings and complex neuroimage processing that require trained professionals. To combat these challenges, artificial intelligence (AI) techniques can aid clinicians in interpreting brain MRI for accurate diagnosis of neurodegenerative diseases but they require extensive validation. Thus, the aim of this study was to validate the use of AI-based AQUA (Neurophet Inc., Seoul, Republic of Korea) segmentation software in a Southeast Asian community-based cohort with normal cognition, mild cognitive impairment (MCI) and dementia. METHOD: Study participants belonged to the community-based Biomarker and Cognition Study in Singapore. Participants aged between 30 and 95 years, having cognitive concerns, with no diagnosis of major psychiatric, neurological or systemic disorders who were recruited consecutively between April 2022 and July 2023 were included. Participants underwent neuropsychological assessments and structural MRI, and were classified as cognitively normal, with MCI or with dementia. MRI pre-processing using automated pipelines, along with human-based visual ratings, were compared against AI-based automated AQUA output. Default mode network grey matter (GM) volumes were compared between cognitively normal, MCI and dementia groups. RESULTS: A total of 90 participants (mean age at visit was 63.32±10.96 years) were included in the study (30 cognitively normal, 40 MCI and 20 dementia). Non-parametric Spearman correlation analysis indicated that AQUA-based and human-based visual ratings were correlated with total (ρ=0.66; P<0.0001), periventricular (ρ=0.50; P<0.0001) and deep (ρ=0.57; P<0.0001) white matter hyperintensities (WMH). Additionally, volumetric WMH obtained from AQUA and automated pipelines was also strongly correlated (ρ=0.84; P<0.0001) and these correlations remained after controlling for age at visit, sex and diagnosis. Linear regression analyses illustrated significantly different AQUA-derived default mode network GM volumes between cognitively normal, MCI and dementia groups. Dementia participants had significant atrophy in the posterior cingulate cortex compared to cognitively normal participants (P=0.021; 95% confidence interval [CI] -1.25 to -0.08) and in the hippocampus compared to cognitively normal (P=0.0049; 95% CI -1.05 to -0.16) and MCI participants (P=0.0036; 95% CI -1.02 to -0.17). CONCLUSION Our findings demonstrate high concordance between human-based visual ratings and AQUA-based ratings of WMH. Additionally, the AQUA GM segmentation pipeline showed good differentiation in key regions between cognitively normal, MCI and dementia participants. Based on these findings, the automated AQUA software could aid clinicians in examining MRI scans of patients with cognitive impairment.
Humans ; Cognitive Dysfunction/pathology* ; Magnetic Resonance Imaging/methods* ; Male ; Middle Aged ; Female ; Aged ; Artificial Intelligence ; Software ; Dementia/diagnostic imaging* ; Aged, 80 and over ; Adult ; Singapore ; Neuropsychological Tests ; Brain/pathology* ; Cohort Studies ; Gray Matter/pathology* ; Southeast Asian People

INTRODUCTION: We aimed to understand the awareness and attitudes of elderly Southeast Asians towards telehealth services during the coronavirus disease 2019 (COVID-19) pandemic in this study. METHODS: In this qualitative study, 78 individuals from Singapore (51.3% female, mean age 73.0 ± 7.6 years) were interviewed via telephone between 13 May 2020 and 9 June 2020 during Singapore's first COVID-19 'circuit breaker'. Participants were asked to describe their understanding of telehealth, their experience of and willingness to utilise these services, and the barriers and facilitators underlying their decision. Transcripts were analysed using thematic analysis, guided by the United Theory of Acceptance Use of Technology framework. RESULTS: Of the 78 participants, 24 (30.8%) were able to describe the range of telehealth services available and 15 (19.2%) had previously utilised these services. Conversely, 14 (17.9%) participants thought that telehealth comprised solely home medication delivery and 50 (51.3%) participants did not know about telehealth. Despite the advantages offered by telehealth services, participants preferred in-person consultations due to a perceived lack of human interaction and accuracy of diagnoses, poor digital literacy and a lack of access to telehealth-capable devices. CONCLUSION Our results showed poor overall awareness of the range of telehealth services available among elderly Asian individuals, with many harbouring erroneous views regarding their use. These data suggest that public health education campaigns are needed to improve awareness of and correct negative perceptions towards telehealth services in elderly Asians.
Humans ; COVID-19/epidemiology* ; Female ; Telemedicine ; Aged ; Male ; Singapore/epidemiology* ; Qualitative Research ; Health Knowledge, Attitudes, Practice ; SARS-CoV-2 ; Aged, 80 and over ; Middle Aged ; Pandemics ; Awareness ; Asian People ; Southeast Asian People

BACKGROUND

Despite the beneficial effects of SGLT2i in reducing kidney disease progression and mortality in people with diabetic kidney disease (DKD), the use of SGLT2i in this population remains low.

To explore the prescription rates of SGLT2i in type 2 diabetes (T2D) patients with albuminuric DKD and to assess clinician-perceived barriers to prescribing SGLT2i.

A retrospective study of all medical records of T2D patients with albuminuric DKD and eGFR ≥20 ml/min/1.73 m2 in 2023 who had been treated by 13 diabetologists was conducted at Vimut-Theptarin Hospital, a private tertiary diabetes center in Bangkok. In cases of no documentation of non-prescribed SGLT2i, treating physicians were contacted to explore the reasons.

A total of 282 medical records were reviewed (mean age 65.9 ± 10.0 years, A1C 7.5 ± 1.2 %, duration of diabetes 19.7 ± 10.4 years, mean eGFR 68.3 ± 24.1 mL/min/1.73 m2, median UACR 151 (IQR 309) mg/g Cr, RAS inhibitors usage 80.1%). The SGLT2i prescription rate was 58.9% in 2023. Coronary artery disease, age ≥65 years, eGFR

Prescribing SGLT2i to T2D patients with albuminuric DKD remains suboptimal among diabetologists due to clinical inertia, medication costs, and frailty. Our study underscores actions aimed at improving SGLT2i prescription rates in routine practice.

INTRODUCTION: The study was performed to determine the psychological problems in children with idiopathic nephrotic syndrome (INS) while they were on steroid therapy, as compared to healthy children. METHODS: This prospective cohort study was conducted in a paediatric clinic of a tertiary hospital. Parents of the participants in the INS group and control group (comprising children without chronic illness) completed questionnaires using the Child Behavioural Checklist (CBCL). The CBCL measures a range of age-specific emotional and psychological problems, including internalising and externalising domains. Analyses of the CBCL scores between groups were done using Mann-Whitney U test. RESULTS: A total of 140 children were recruited with an equal number in the INS and control groups. There was a significant difference in the mean total CBCL scores between the INS group and the control group, specifically in the withdrawal, somatic, anxious and aggressiveness subdomains. Similar findings were demonstrated in correlation between total psychological problems and corticosteroid dosage. In the INS group, steroid dose and cushingoid features were found to have a significant positive association with internalising psychological problems. CONCLUSION Children with INS on corticosteroid treatment showed an increase in internalising and externalising scores, as compared to healthy children.
Child ; Humans ; Child Behavior Disorders/psychology* ; Nephrotic Syndrome/psychology* ; Problem Behavior/psychology* ; Prospective Studies ; Southeast Asian People ; Glucocorticoids/therapeutic use*

Humans ; Parkinson Disease/drug therapy* ; Prevalence ; Southeast Asian People ; Psychotic Disorders/drug therapy* ; Antipsychotic Agents

Objectives.: There is no existing Vietnamese diabetes knowledge questionnaire. This impedes assessment of patient knowledge that will be helpful in providing effective diabetes intervention. We aimed to validate the Vietnamese Translated Diabetes Knowledge Questionnaire (DKQ). Methodology: Translation and adaptation strictly followed the guidelines of Beaton et al. Internal consistency was assessed by Cronbach’s alpha coefficient, test-retest reliability was assessed by Fleiss’ Kappa coefficient, and validity value was determined among type 2 diabetes patients in a general hospital. Results: The Vietnamese version of the DKQ had good internal consistency (Cronbach’s alpha for all items = 0.898) and stability (Kappa coefficient >0.600). The average score for all equivalence criteria was 1.00, demonstrating good equivalence to the original. The significant difference between knowledge score and education level (p <0.001) confirmed construct validity. Conclusion Our study provided a reliable Vietnamese version of the DKQ. Future studies may apply the version in different regions in Vietnam to determine external validity.
Southeast Asian People