The impact of Chat Generative Pre-trained Transformer (ChatGPT) on medical education.

Artificial intelligence (AI) in medicine is developing rapidly. The advent of Chat Generative Pre-trained Transformer (ChatGPT) has taken the world by storm with its potential uses and efficiencies. However, technology leaders, researchers, educators, and policy makers have also sounded the alarm on its potential harms and unintended consequences. AI will increasingly find its way into medicine and is a force of both disruption and innovation. We discuss the potential benefits and limitations of this new league of technology and how medical educators have to develop skills and curricula to best harness this innovative power.

Geriatric Services Hub - A Collaborative Frailty Management Model between The Hospital and Community Providers.

BACKGROUND: Frailty is an important geriatric syndrome especially with ageing populations. Frailty can be managed or even reversed with community-based interventions delivered by a multi-disciplinary team. Innovation is required to find community frailty models that can deliver cost-effective and feasible care to each local context. OBJECTIVES: We share pilot data from our Geriatric Service Hub (GSH) which is a novel frailty care model in Singapore that identifies and manages frailty in the community, supported by a hospital-based multi-disciplinary team. METHODS: We describe in detail our GSH model and its implementation. We performed a retrospective data analysis on patient characteristics, uptake, prevalence of frailty and sarcopenia and referral rates for multi-component interventions. RESULTS: A total of 152 persons attended between January 2020 to May 2021. Majority (59.9%) were female and mean age was 81.0 ± 7.1 years old. One-fifth (21.1%) of persons live alone. Mean Charlson Co-morbidity Index was 5.2 ± 1.8. Based on the clinical frailty risk scale (CFS), 31.6% were vulnerable, 51.3% were mildly frail and 12.5% were moderately frail. Based on SARC-F screening, 45.3% were identified to be sarcopenic whilst 56.9% had a high concern about falling using the Falls-Efficacy Scale-International. BMD scans were done for 41.4% of participants, of which 58.7% were started on osteoporosis treatment. In terms of referrals to allied health professionals, 87.5% were referred for physiotherapy, 71.1% for occupational therapy and 50.7% to dieticians. CONCLUSION: The GSH programme demonstrates a new local model of partnering with community service providers to bring comprehensive population level frailty screening and interventions to pre-frail and frail older adults. Our study found high rates of frailty, sarcopenia and fear of falling in community-dwelling older adults who were not presently known to geriatric care services.

Impact of Exercise and Cognitive Stimulation Therapy on Physical Function, Cognition and Muscle Mass in Pre-Frail Older Adults in the Primary Care Setting: A Cluster Randomized Controlled Trial.

OBJECTIVES: Multicomponent exercise program have shown to improve function and cognition in older adults but studies on pre-frail older adults in the primary care setting are limited. This study aimed i) to evaluate impact of 6 months exercise (Ex) versus complementary effect of 3 months of cognitive stimulation therapy (CST) to 6 months of Ex (Ex+CST) on physical function, muscle mass and cognition versus control group at 3, 6 and 12 months ii) inflammatory biomarkers such as Interleukin-6 (IL-6) and Tumor Necrosis Factor Alpha (TNF-α). DESIGN: Cluster randomised control trial. SETTING AND INTERVENTION: Pre-frail older adults ≥ 65 years attending primary care clinic. Two intervention groups i) Ex 6 months ii) CST 3 months with Ex 6 months. MEASUREMENTS: At 0, 3, 6 and 12 months, questionnaires (on demographics, physical function, cognition, and depression) were administered and physical function assessment (gait speed, short physical performance battery (SPPB) test, handgrip strength, five times sit-to-stand (5x-STS)) was conducted. Muscle mass and its surrogates such as phase angle and body cell mass were measured using bioelectrical impedance analysis machine. Inflammatory biomarkers were measured at 0 and 3 months. RESULTS: Data from 190 participants was analysed at 3 months (111 control, 37 Ex and 41 Ex+CST). At 3 months, significant improvement in cognition was seen only in the Ex+CST group whereas improvements in depression, gait speed, SPPB and 5x-STS were seen in both the Ex and Ex+CST groups. At 6 months, the Ex+CST group improved in cognition and depression whereas improvement in frailty and muscle mass indices were seen in both the interventions groups. At 12 months, both the interventions groups had better perceived health, gait speed and less decline in muscle mass compared with control groups. Both the Ex and Ex+CST had significant association with TNF-α at 3 months (ß -2.71 (95% CI -4.80 - -0.62); p = 0.012 and ß -1.74 (95% CI -3.43 - -0.06); p = 0.043 respectively). CONCLUSION: Combined Ex+CST had significant improvement in cognition whereas the intervention groups improved in depression, physical function, muscle mass, frailty, perceived health and TNF-α levels. With growing evidence of the benefits of multicomponent interventions at primary care level, incorporating it into mainstream care with action plans on long-term sustainability and scalability should be a priority for every country.

Practicality and Reliability of Self Vs Administered Rapid Geriatric Assessment Mobile App.

OBJECTIVES: To develop and cross-validate self-administered Rapid Geriatric Assessment (SA-RGA) app against administered Rapid Geriatric Assessment (A-RGA) to identify seniors with geriatric syndromes such as frailty, sarcopenia, and anorexia of ageing who may benefit from targeted intervention. DESIGN: Prospective observational study. SETTING: Primary Care and Community. PARTICIPANTS: A-RGA and SA-RGA app were administered to older adults ≥ 60 years old from December 2020 to April 2021. MEASUREMENTS: The RGA app screens for frailty (FRAIL), sarcopenia (SARC-F), anorexia of aging (SNAQ) and cognition (Rapid Cognitive Screen) with assisted management pathway. Patient Health Questionnaire 9 is administered for those who score positive for fatigue. The diagnostic performance of SA-RGA was compared against A-RGA as a reference by calculating the sensitivity, specificity, positive predictive value (PPV) and negative predictive value (NPV) and positive likelihood ratio (+LR). RESULTS: 123 participants with a mean age of 71 ± 5.9 years completed both the SA-RGA and A-RGA. Questions on fatigue, 5 or more illnesses, loss of weight and falls in the past year performed better with high sensitivity, specificity, NPV and +LR than self-functional assessment where SA-RGA participants reported lower prevalence on the FRAIL scale aerobic and resistance components, and higher prevalence on the SARC-F strength and rising from a chair components. CONCLUSION: The SA-RGA app performed well in certain domains such as assessment for weight loss, falls, number of chronic illness and fatigue. Self-functional assessment can be improved further by removing ambiguity in wordings such as "some" or "a lot" and replacing it with functional difficulty scale. SA-RGA has the potential to be incorporated in the eHEALTH platforms worldwide for early identifications of older adults at risk and to reduce health inequalities, at the same time building community resilience in the era of Covid-19 pandemic.

Study on the relation between occupational fenvalerate exposure and spermatozoa DNA damage of pesticide factory workers.

AIMS: To determine sperm nuclear DNA integrity and to investigate the relation between fenvalerate (FE) exposure and spermatozoa DNA damage. METHODS: Sperm DNA fragmentation was detected by a modified alkaline single cell gel electrophoresis (Comet) assay and a terminal deoxynucleotidyl transferase mediated dUTP nick end labelling (TUNEL) assay. The olive tail moment (OTM) and percentage tail DNA were measured by the Comet assay, and cell positive percentage was measured by the TUNEL assay for DNA damage evaluation. RESULTS: The DNA integrity of spermatozoa of external and internal control groups were both significantly greater than that of the FE exposed group. The median value of tail DNA percentage in the exposure group was 11.30, which was significantly higher than 5.60 in the internal control group and 5.10 in the external control group. The median value of OTM was 3.80 in the exposure group, significantly higher than 1.50 in the internal control group and 2.00 in the external control group. Mean cell positive was 31.2% in the exposure group, significantly higher than 17.4% in the internal control and 19.6% in the external control groups. Cell positive (%) was significantly correlated with tail DNA percentage and with OTM of whole subjects (n = 63). CONCLUSIONS: Results showed that occupational FE exposure is associated with an increase in sperm DNA damage. A combination of the Comet and TUNEL assays would offer more comprehensive information for a better understanding of sperm DNA damage, and the biological significance of sperm DNA damage in sperm function and male infertility.