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Studies have shown that national-level initiatives to equip medical students with relevant digital competencies carry many benefits. Yet, few countries have outlined such competencies for clinical practice in the core medical school curriculum. This paper identifies current training gaps at the national level in digital competencies needed by students in the formal curricula of all three medical schools in Singapore from the perspectives of clinical educators and institutional leaders. It bears implications for countries that intend to implement standardized learning objectives for training in these digital competencies. Findings were drawn from in-depth interviews with 19 clinical educators and leaders of local medical schools. Participants were recruited using purposive sampling. Data were interpreted using qualitative thematic analysis. Thirteen of the participants were clinical educators while 6 were deans or vice deans of education from one of the three medical schools in Singapore. While the schools have introduced some relevant courses, they are not standardized nationally. Moreover, the school's niche areas have not been leveraged upon for training in digital competencies. Participants across all schools acknowledged that more formal training is needed in digital health, data management, and applying the principles of digital technologies. Participants also noted that the healthcare needs of the population, patient safety, and safe procedures in the utilization of digital healthcare technologies should be prioritized when determining the competencies needed by students. Additionally, participants highlighted the need for stronger collaboration among medical schools, and for a stronger link between current curriculum and clinical practice. The findings highlighted the need for better collaboration among medical schools in the sharing of educational resources and expertise. Furthermore, stronger collaborations with professional bodies and the healthcare system should be established to ensure that the goals and outcomes of medical education and the healthcare system are aligned. [ABSTRACT FROM AUTHOR]

Background: CAR-T cell therapy represents a novel approach for the treatment of hematologic malignancies and solid tumors. However, its implementation is accompanied by the emergence of potentially life-threatening adverse events known as cytokine release syndrome (CRS). Given the escalating number of patients undergoing CAR-T therapy, there is an urgent need to develop predictive models for severe CRS occurrence to prevent it in advance. Currently, all existing models are based on decision trees whose accuracy is far from meeting our expectations, and there is a lack of deep learning models to predict the occurrence of severe CRS more accurately. Results: We propose PrCRS, a deep learning prediction model based on U-net and Transformer. Given the limited data available for CAR-T patients, we employ transfer learning using data from COVID-19 patients. The comprehensive evaluation demonstrates the superiority of the PrCRS model over other state-of-the-art methods for predicting CRS occurrence. We propose six models to forecast the probability of severe CRS for patients with one, two, and three days in advance. Additionally, we present a strategy to convert the model's output into actual probabilities of severe CRS and provide corresponding predictions. Conclusions: Based on our findings, PrCRS effectively predicts both the likelihood and timing of severe CRS in patients, thereby facilitating expedited and precise patient assessment, thus making a significant contribution to medical research. There is little research on applying deep learning algorithms to predict CRS, and our study fills this gap. This makes our research more novel and significant. Our code is publicly available at https://github.com/wzy38828201/PrCRS. The website of our prediction platform is: http://prediction.unicar-therapy.com/index-en.html. [ABSTRACT FROM AUTHOR]

Chimeric antigen receptor T-cell (CAR-T) immunotherapy, a novel approach for treating blood cancer, is associated with the production of cytokine release syndrome (CRS), which poses significant safety concerns for patients. Currently, there is limited knowledge regarding CRS-related cytokines and the intricate relationship between cytokines and cells. Therefore, it is imperative to explore a reliable and efficient computational method to identify cytokines associated with CRS. In this study, we propose Meta-DHGNN, a directed and heterogeneous graph neural network analysis method based on meta-learning. The proposed method integrates both directed and heterogeneous algorithms, while the meta-learning module effectively addresses the issue of limited data availability. This approach enables comprehensive analysis of the cytokine network and accurate prediction of CRS-related cytokines. Firstly, to tackle the challenge posed by small datasets, a pre-training phase is conducted using the meta-learning module. Consequently, the directed algorithm constructs an adjacency matrix that accurately captures potential relationships in a more realistic manner. Ultimately, the heterogeneous algorithm employs meta-photographs and multi-head attention mechanisms to enhance the realism and accuracy of predicting cytokine information associated with positive labels. Our experimental verification on the dataset demonstrates that Meta-DHGNN achieves favorable outcomes. Furthermore, based on the predicted results, we have explored the multifaceted formation mechanism of CRS in CAR-T therapy from various perspectives and identified several cytokines, such as IFNG (IFN-γ), IFNA1, IFNB1, IFNA13, IFNA2, IFNAR1, IFNAR2, IFNGR1 and IFNGR2 that have been relatively overlooked in previous studies but potentially play pivotal roles. The significance of Meta-DHGNN lies in its ability to analyze directed and heterogeneous networks in biology effectively while also facilitating CRS risk prediction in CAR-T therapy. [ABSTRACT FROM AUTHOR]

The World Health Organization Surgical Safety Checklist (SSC) is a tool designed to enhance team communication and patient safety. When used properly, the SSC acts as a layer of defence against never events. In this study, we performed secondary qualitative analysis of operating theatres (OT) SSC observational notes to examine how the SSC was used after an intensive SSC re-implementation effort and drew on relevant theories to shed light on the observed patterns of behaviours. We aimed to go beyond assessing checklist compliance and to understand potential sociopsychological mechanisms of the variations in SSC practices. Direct observation notes of 109 surgical procedures across 13 surgical disciplines were made by two trained nurses in the OT of a large tertiary hospital in Singapore from February to April 2022, three months after SSC re-implementation. Only notes relevant to the use of SSC were extracted and analyzed using reflexive thematic analysis. Data were coded following an inductive process to identify themes or patterns of SSC practices. These patterns were subsequently interpreted against a relevant theory to appreciate the potential sociopsychological forces behind them. Two broad types of SSC practices and their respective sub-themes were identified. Type 1 (vs. Type 2) SSC practices are characterized by patience and thoroughness (vs. hurriedness and omission) in carrying out the SSC process, dedication and attention (vs. delegation and distraction) to the SSC safety checks, and frequent (vs. absence of) safety voices during the conduct of SSC. These patterns were conceptualized as safety-seeking action vs. ritualistic action using Merton's social deviance theory. Ritualistic practice of the SSC can undermine surgical safety by creating conditions conducive to never events. To fully realize the SSC's potential as an essential tool for communication and safety, a concerted effort is needed to balance thoroughness with efficiency. Additionally, fostering a culture of collaboration and collegiality is crucial to reinforce and enhance the culture of surgical safety. • The surgical safety checklist acts as a defensive layer to prevent never events. • Shift the focus from checklist compliance to its local sociocultural context. • Use sociopsychological theories to understand surgical safety checklist practices. • Conformity vs. ritualism checklist practices when viewed from social deviance lens. • Activate safety voices and safety listening, and prioritize safety and thoroughness. [ABSTRACT FROM AUTHOR]

This pilot study explores the relationship between nocturnal hypoglycemia (NH) and subjective sleep quality in people with type 1 diabetes (T1D). Twenty-seven adults with T1D wore a Freestyle Libre Pro CGM and recorded subjective sleep quality daily, as assessed by a single Likert scale question. Frequency, duration, area under the curve (AUC) of NH (00:00–06:00) defined as sensor glucose below threshold (< 3.9 mmol/L; < 3 mmol/L) for ≥ 15 min, nocturnal mean glucose, Time in Range (3.9–10 mmol/L), and coefficient of variation were calculated. Twenty-seven adults, 18 (66.7%) women, with median (IQR) age of 27 (26, 32) years and HbA1c of 7.6 (7.1, 8.1) participated. Nights with NH < 3.9 mmol/L resulted in a lower (worse) sleep score than nights without NH [Mean (SD): 3.3 (1.2) vs 3.5 (1.0), p = 0.03). A higher frequency and longer duration but not AUC [adjusted OR (95% CI) 0.52 (0.38, 0.72), 0.961 (0.932, 0.991), 0.999 (0.998, 1.001) respectively)], of NH < 3.9 mmol/L, were associated with a lower sleep score. NH < 3.0 mmol/L metrics were not associated with sleep quality. Recurrent NH < 3.9 mmol/L, rather than prolonged NH < 3.0 mmol/L, seems associated with subjective sleep quality, implying that those with the highest burden of NH are likely unaware of it. [ABSTRACT FROM AUTHOR]

Aim: Neonatal jaundice is an important and prevalent condition that can cause kernicterus and mortality. This study validated a smartphone‐based screening application (Biliscan) in detecting neonatal jaundice. Methods: A cross‐sectional prospective study was conducted at the neonatal unit in a tertiary teaching hospital between August 2020 and October 2021. All babies born at the gestation of 35 weeks and above with clinical jaundice or are recommended for screening of jaundice within 21 days of post‐natal age were recruited. Using Biliscan, images of the babies' skin over the sternum were taken against a standard colour card. The application uses feature extraction and machine learning regression to estimate the bilirubin level. Independent Biliscan bilirubin estimates (BsB) were made and compared with total serum bilirubin (TSB) and transcutaneous bilirubin (TcB) levels. Bland Altman plots were used to establish the agreement between BsB and TSB, as well as TcB, using the clinically acceptable limits of agreement of ±35 μmol/L, which were defined a priori. Pearson correlation coefficient was assessed to establish the strength of the relationship between BsB versus TSB and TcB. Diagnostic accuracy was assessed through receiver operating characteristic curve analysis. Results: Sixty‐one paired TSB‐BsB and 85 paired TcB‐BsB measurements were obtained. Bland Altman plot for the entire group showed that 54% (33/61) of the pairs of TSB and BsB readings and 66% (56/85) of the pairs of TcB and BsB readings were within the maximum clinically acceptable difference of 35 μmol/L. Pearson r for BsB versus TSB and TcB was 0.54 (P < 0.001) and 0.66 (P < 0.001) respectively. Compared with TSB, the recommended gold standard measure for jaundice, Biliscan has a sensitivity of 76.92% and specificity of 70.83% for jaundice requiring phototherapy. The positive and negative predictive values in term infants were 93.3% and 36.9%, respectively. Conclusion: Our results suggest that there is moderate correlation and mediocre agreement between BsB and TSB, as well as TcB. Improvement to the application algorithm and further studies that include a larger population, and a wider range of bilirubin values are necessary before the tool may be considered for use in screening of jaundice in newborns. [ABSTRACT FROM AUTHOR]

Interprofessional collaboration (IPC) is key to ensuring safe quality care for patients. However, IPC intervention outcomes are variable, leading to calls for systems theories to understand complex interactions in healthcare. Using networked ecological systems theory (NEST), we aimed to uncover facilitators and barriers impacting the interactions between nurses and physicians in a specialty healthcare center. A qualitative study involving 55 non-participant observations and 17 individual semi-structured interviews was conducted at the National Neuroscience Institute of Singapore from April 2019 to March 2021. Template analysis was used to analyze the data. The most important IPC facilitators were exosystemic institutional support and physicians' willingness to engage in IPC in the microsystems that together enabled the establishment of disease-based outpatient programs fostering patient-centered interactions among different healthcare professionals (HCP). We also found that patient-, disease-, and systems-related knowledge played an important role in facilitating IPC. Macrosystemic entrenchments such as intraprofessional composition of ward rounds emerged as a significant barrier. However, microsystemic efforts such as chat groups connecting all HCP involved in the care of the patients in the wards have fostered IPC. Although still preliminary, these findings suggest NEST can be useful to inform systematic interventions to improve IPC. [ABSTRACT FROM AUTHOR]

Hypoglycaemia leads to significant morbidity and impacts negatively on quality-of-life, especially in elderly people with increased frailty. The aims of this study were to determine the prevalence of low interstitial fluid glucose (IFG) in patients with tightly controlled type 2 diabetes (T2D), and to evaluate whether there were differences in burden of low IFG between sulphonylurea and insulin treated groups. A Freestyle Libre-Pro sensor was used for sampling of the IFG continuously. Patients were blinded to the IFG levels. The sensor was returned to the investigators after a 2-week period and the data were downloaded for analysis. There was a total of 69 patients (median age 72 years (IQR = 69–74)) − 40 were sulfonylurea-treated and 29 insulin-treated. In total, 781 low sensor glucose events (<4.0 mmol/L) were detected, of which 254 were very low sensor glucose events (<2.8 mmol/L). Twenty-six out of 29 insulin-treated (89.6%) and 36 out of 40 sulphonylurea-treated patients (90%) contributed to the 781 events of low sensor glucose. Twenty out of 29 insulin-treated (69%) and 26 out of 40 sulphonylurea-treated patients (65.0%) contributed to the 254 very low sensor glucose events. Only 9% of all events were identified by patients. Nocturnal events represented 55.8% of low sensor glucose events and 61.0% of very low sensor glucose events. At a cut-off of <2.8 mmol/L, it was found that the insulin group had a significantly greater number of such events as compared to the sulfonylurea group. This study demonstrates that elderly patients with tightly-controlled T2D have a significant number of low sensor glucose events which go by undetected. [ABSTRACT FROM AUTHOR]

Introduction/objectives: To address the diagnostic delay in axial spondyloarthritis (axSpA), we have cross-culturally adapted the Hamilton axSpA questionnaire, a self-administered screening questionnaire, in the Singapore population. In this study, we compared the performance of various scoring methods for this questionnaire in detecting axSpA. Method: The questionnaire was self-administered by eligible subjects. Scoring methods included method A, the original questionnaire scoring, and methods B–E, scoring developed based on the Assessment of SpondyloArthritis International Society (ASAS) criteria for inflammatory back pain (IBP) and the referral, classification and both referral and classification of axSpA, respectively. The reference standard was diagnosis by a rheumatologist. Since the ASAS criteria-based scoring methods were mainly based on clinical axSpA features, self-report and rheumatologist-assessment of clinical axSpA features were also compared in subjects with axSpA. Results: Of 1418 subjects (age: 54 ± 14 years, female: 73%) recruited, 46 were diagnosed with axSpA by a rheumatologist. Sensitivities of methods A–E were 35%, 61%, 63%, 48% and 83%, respectively. Self-report of clinical axSpA features exceeded rheumatologist-assessment for arthritis (83 vs 26%), good response to NSAIDs (37 vs 30%), enthesitis (35 vs 30%), dactylitis (20 vs 2%) and family history for axSpA (13 vs 4%). The reverse was true for IBP (41 vs 63%) and uveitis (4 vs 15%). Conclusions: A self-administered questionnaire using the ASAS referral and classification criteria-based scoring yielded relatively high sensitivity in detecting axSpA in subjects newly referred to rheumatology clinics. This supports its evaluation as a screening and referral tool in the general population in future studies. Key Points • A self-administered questionnaire could be used as a screening and referral tool. • ASAS referral and classification criteria-based scoring yielded relatively high sensitivity. • Inaccurate perception of clinical axSpA features was observed in axSpA patients. [ABSTRACT FROM AUTHOR]

BACKGROUND: Individuals with diabetes mellitus (DM) may be susceptible to non-steroidal anti-inflammatory drug (NSAID)-induced acute kidney injury (AKI) but data on NSAID-related adverse renal events is sparse. OBJECTIVE: We aimed to evaluate the risk of acute kidney injury and/or hyperkalemia after systemic NSAID among individuals with DM and diabetic chronic kidney disease (CKD). METHODS: Retrospective cohort study of 3896 adults with DM with incident prescriptions between July 2015 and December 2017 from Singapore General Hospital and SingHealth Polyclinics. Laboratory, hospitalization and medication data were retrieved from electronic medical records. The primary outcome was the incidence of AKI and/ or hyperkalemia within 30 days after prescription. RESULTS: AKI and/or hyperkalemia occurred in 13.5% of all DM and 15.8% of diabetic CKD. The association between systemic NSAID >14 days and 30-day risk of AKI and/or hyperkalemia failed to reach statistical significance in unselected DM (adjusted OR 1.62, 95% CI 0.99–2.65, p = 0.05) and diabetic CKD (adjusted OR 0.64, 95% CI 0.15–2.82, p = 0.64), but the odds of AKI and/or hyperkalemia were markedly and significantly increased when NSAID was prescribed with renin-angiotensin-aldosterone system (RAAS) blocker (adjusted OR 4.17, 95% CI 1.74–9.98, p = 0.001) or diuretic (adjusted OR 3.31, 95% CI 1.09–10.08, p = 0.04) and in the absence of diabetic CKD (adjusted OR 1.98, 95% CI 1.16–3.36, p = 0.01). CONCLUSION: NSAID prescription >14 days in individuals with DM with concurrent RAAS blockers or diuretics was associated with higher 30-day risk of AKI and/or hyperkalemia. [ABSTRACT FROM AUTHOR]

Background and Aim: The coronavirus disease 2019 pandemic has impacted gastroenterology practices worldwide; however, its protracted effects within Southeast Asia were unknown. The primary aim of the study was to determine the impact of the pandemic on clinical demands including burnout among gastroenterologists within the region. The secondary aim was to identify risk factors for burnout and determine regional stressors. Methods: This was a mixed‐methods study. Gastroenterologists were surveyed electronically between September 1 and December 7, 2020, via gastroenterology and endoscopy societies of Brunei, Indonesia, Malaysia, Philippines, Singapore, and Thailand. Quantitative and qualitative data were collected. The 22‐item Maslach Burnout Inventory‐Human Services Survey (MBI‐HSS) was used to detect burnout. Quantitative data were non‐parametric; non‐parametric methods were used for statistical comparisons. Logistic regression was used to determine risk factors for burnout. Content analysis method was used to analyze qualitative data. Ethical approval was obtained. Results: A total of 73.0% reported that they were still significantly affected by the pandemic. Of these, 40.5% reported increased workload and 59.5% decreased workload. Statistically significant differences in weekly working hours, endoscopy, and inpatient volumes were present. No differences were observed in outpatient volumes, likely because of telemedicine. Burnout was common; however, 50.1% of gastroenterologists were unaware of or did not have access to mental health support. This, as well as depression, being a trainee, and public sector work, increased burnout risk significantly. Conclusion: The effects of the pandemic are multifaceted, and burnout is common among Southeast Asian gastroenterologists. Safeguards for mental health are suboptimal, and improvements are urgently needed. [ABSTRACT FROM AUTHOR]