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    Co-designing a curriculum model for career education: perspectives from regional communities in Australia
    Mahat, M ; Dollinger, M ; D'Angelo, B ; Naylor, R ; Harvey, A (SPRINGER, 2023-04)
    The vocational experiences and skills of young adolescents could be infused into formal education by identifying career competencies to be taught within the academic curriculum. Such curriculum practices that embed educational and career pathways must also include the perspectives of students and the community, particularly those from marginalised groups. Drawing on data from 111 teachers, principals, carers and students, this paper presents research undertaken to co-design career education lesson plans within an infused model of the curriculum for early Middle Year students from regional, rural, and remote Australia. The lesson plans and activities were designed to allow for meaningful self-reflection and goal-setting that could be seamlessly infused into the formal curriculum and help embed early-stage career education. The paper concludes by projecting opportunities and challenges for seamless curriculum integration, while pertinent to the Australian context, can also be read with broader relevance to other educational systems and schools.
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    Development and validation of the Gender-Equity Model for Liver Allocation (GEMA) to prioritise candidates for liver transplantation: a cohort study
    Rodriguez-Peralvarez, ML ; Gomez-Orellana, AM ; Majumdar, A ; Bailey, M ; McCaughan, GW ; Gow, P ; Guerrero, M ; Taylor, R ; Guijo-Rubio, D ; Hervas-Martinez, C ; Tsochatzis, EA (ELSEVIER INC, 2023-03)
    BACKGROUND: The Model for End-stage Liver Disease (MELD) and its sodium-corrected variant (MELD-Na) have created gender disparities in accessing liver transplantation. We aimed to derive and validate the Gender-Equity Model for liver Allocation (GEMA) and its sodium-corrected variant (GEMA-Na) to amend such inequities. METHODS: In this cohort study, the GEMA models were derived by replacing creatinine with the Royal Free Hospital glomerular filtration rate (RFH-GFR) within the MELD and MELD-Na formulas, with re-fitting and re-weighting of each component. The new models were trained and internally validated in adults listed for liver transplantation in the UK (2010-20; UK Transplant Registry) using generalised additive multivariable Cox regression, and externally validated in an Australian cohort (1998-2020; Royal Prince Alfred Hospital [Australian National Liver Transplant Unit] and Austin Hospital [Victorian Liver Transplant Unit]). The study comprised 9320 patients: 5762 patients for model training, 1920 patients for internal validation, and 1638 patients for external validation. The primary outcome was mortality or delisting due to clinical deterioration within the first 90 days from listing. Discrimination was assessed by Harrell's concordance statistic. FINDINGS: 449 (5·8%) of 7682 patients in the UK cohort and 87 (5·3%) of 1638 patients in the Australian cohort died or were delisted because of clinical deterioration within 90 days. GEMA showed improved discrimination in predicting mortality or delisting due to clinical deterioration within the first 90 days after waiting list inclusion compared with MELD (Harrell's concordance statistic 0·752 [95% CI 0·700-0·804] vs 0·712 [0·656-0·769]; p=0·001 in the internal validation group and 0·761 [0·703-0·819] vs 0·739 [0·682-0·796]; p=0·036 in the external validation group), and GEMA-Na showed improved discrimination compared with MELD-Na (0·766 [0·715-0·818] vs 0·742 [0·686-0·797]; p=0·0058 in the internal validation group and 0·774 [0·720-0·827] vs 0·745 [0·690-0·800]; p=0·014 in the external validation group). The discrimination capacity of GEMA-Na was higher in women than in the overall population, both in the internal (0·802 [0·716-0·888]) and external validation cohorts (0·796 [0·698-0·895]). In the pooled validation cohorts, GEMA resulted in a score change of at least 2 points compared with MELD in 1878 (52·8%) of 3558 patients (25·0% upgraded and 27·8% downgraded). GEMA-Na resulted in a score change of at least 2 points compared with MELD-Na in 1836 (51·6%) of 3558 patients (32·3% upgraded and 19·3% downgraded). In the whole cohort, 3725 patients received a transplant within 90 days of being listed. Of these patients, 586 (15·7%) would have been differently prioritised by GEMA compared with MELD; 468 (12·6%) patients would have been differently prioritised by GEMA-Na compared with MELD-Na. One in 15 deaths could potentially be avoided by using GEMA instead of MELD and one in 21 deaths could potentially be avoided by using GEMA-Na instead of MELD-Na. INTERPRETATION: GEMA and GEMA-Na showed improved discrimination and a significant re-classification benefit compared with existing scores, with consistent results in an external validation cohort. Their implementation could save a clinically meaningful number of lives, particularly among women, and could amend current gender inequities in accessing liver transplantation. FUNDING: Junta de Andalucía and EDRF.
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    Progressive Spinal Cord Degeneration in Friedreich's Ataxia: Results from ENIGMA-Ataxia.
    Rezende, TJR ; Adanyeguh, IM ; Arrigoni, F ; Bender, B ; Cendes, F ; Corben, LA ; Deistung, A ; Delatycki, M ; Dogan, I ; Egan, GF ; Göricke, SL ; Georgiou-Karistianis, N ; Henry, P-G ; Hutter, D ; Jahanshad, N ; Joers, JM ; Lenglet, C ; Lindig, T ; Martinez, ARM ; Martinuzzi, A ; Paparella, G ; Peruzzo, D ; Reetz, K ; Romanzetti, S ; Schöls, L ; Schulz, JB ; Synofzik, M ; Thomopoulos, SI ; Thompson, PM ; Timmann, D ; Harding, IH ; França, MC (Wiley, 2023-01)
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    An efficient deep neural model for detecting crowd anomalies in videos
    Yang, M ; Tian, S ; Rao, AS ; Rajasegarar, S ; Palaniswami, M ; Zhou, Z (Springer, 2023-06-01)
    Identifying unusual crowd events is highly challenging, laborious, and prone to errors in video surveillance applications. We propose a novel end-to-end deep learning architecture called Stacked Denoising Auto-Encoder (DeepSDAE) to address these challenges, comprising SDAE, VGG16 and Plane-based one-class Support Vector Machine (SVM), abbreviated as PSVM, to detect anomalies such as stationary people in an active scene or loitering activities in a crowded scene. The DeepSDAE framework is a hybrid deep learning architecture. It consists of a four-layered SDAE and an enhanced convolutional neural network (CNN) model. Our framework employs Reinforcement Learning to optimise the learning parameters to detect crowd anomalies. We use the Markov Decision Process (MDP) with Deep Q-learning to find the optimal Q value. We also present a late fusion procedure to combine individual decisions from the intermediate and final layers of the SDAE and VGG16 networks to detect different anomalies. Our experiments on four real-world datasets reveal the superior performance of our proposed framework in detecting (frame-level and pixel-level) anomalies.
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    Beyond patient delay, navigating structural health system barriers to timely care and treatment in a high burden TB setting in Papua New Guinea
    Jops, P ; Cowan, J ; Kupul, M ; Trumb, RN ; Graham, SM ; Bauri, M ; Nindil, H ; Bell, S ; Keam, T ; Majumdar, S ; Pomat, W ; Marais, B ; Marks, GB ; Kaldor, J ; Vallely, A ; Kelly-Hanku, A (ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD, 2023-01-02)
    Tuberculosis (TB) is a major public health issue in Papua New Guinea, with incidence rates particularly high in the South Fly District of Western Province. We present three case studies, along with additional vignettes, that were derived from interviews and focus groups carried out between July 2019 and July 2020 of people living in rural areas of the remote South Fly District depicting their challenges accessing timely TB diagnosis and care; most services within the district are only offered offshore on Daru Island. The findings detail that rather than 'patient delay' attributed to poor health seeking behaviours and inadequate knowledge of TB symptoms, many people were actively trying to navigate structural barriers hindering access to and utilisation of limited local TB services. The findings highlight a fragile and fragmented health system, a lack of attention given to primary health services, and undue financial burdens placed on people living in rural and remote areas associated with costly transportation to access functioning health services. We conclude that a person-centred and effective decentralised model of TB care as outlined in health policies is imperative for equitable access to essential health care services in Papua New Guinea.
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    Grass pollen exposure is associated with higher readmission rates for pediatric asthma
    Batra, M ; Dharmage, SC ; Newbigin, E ; Tang, M ; Abramson, MJ ; Erbas, B ; Vicendese, D (WILEY, 2022-11)
    BACKGROUND: Pediatric asthma hospital readmission is a burden on the individual and costly for Australian hospitals. Grass pollen's role, a known trigger for asthma admissions, is unexamined in readmissions. We examined the association between grass pollen and pediatric asthma readmission. METHODS: The Victorian Admitted Episodes Dataset was used to identify all primary admissions with a principal diagnosis of asthma in children aged 2-18 years between 1997 and 2009. Readmissions were defined as subsequent admissions within 28 days of index admission discharge. Generalized additive models were used to assess associations between readmission, grass pollen season, and daily grass pollen counts, lagged and cumulative. Models were further stratified by sex and age group. RESULTS: Mean daily readmission was higher during grass pollen season than other times of the year, incidence rate ratio (IRR) 1.44 (95% CI, 1.03, 2.02) and for children aged 2-5 years, IRR 1.99 (1.26, 3.14). Same day grass pollen was nonlinearly associated with daily readmission for the 13-18 age group between 110 and 256 grains/m3 , p < .01. Lag 2 grass pollen was nonlinearly associated with daily readmissions overall (p = .03), boys (p = .01), and younger age groups 2-5 (p = .02) and 6-12 (p < .001). CONCLUSIONS: Grass pollen exposure was associated with higher readmission rates for pediatric asthma. Treatment plans prior to discharge could be implemented to reduce the likelihood of readmission by younger children during the pollen season.
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    Effects of aromatase inhibitor therapy on visceral adipose tissue area and cardiometabolic health in postmenopausal women with early and locally advanced breast cancer
    Cheung, Y-MM ; Hoermann, R ; Van, K ; Wu, D ; Healy, J ; Chao, M ; White, S ; Yeo, B ; Zajac, J ; Grossmann, M (WILEY, 2023-02)
    OBJECTIVE: Aromatase inhibitor (AI) therapy provides oncological benefits in postmenopausal women with oestrogen receptor-positive breast cancer. However, AI treatment has been associated with increased cardiovascular risk. In nonbreast cancer populations, experimentally induced low oestrogen states and natural transition to menopause have been associated with increases in visceral adipose tissue (VAT), a known surrogate marker for cardiometabolic risk. Given that AI treatment blocks oestradiol production, we hypothesized that AI treatment would increase VAT. METHODS: We conducted a prospective 12-month cohort study of 52 postmenopausal women newly initiating AI treatment (median age: 64.5 years) and 52 women with breast pathology not requiring endocrine therapy (median age: 63.5 years). VAT area and other body composition parameters were measured at baseline, 6 months and 12 months using dual X-ray absorptiometry. Other risk markers of cardiometabolic health were also assessed. RESULTS: In women initiating AI treatment, there was no statistically significant difference in VAT area after 12 months when compared to controls, with a mean adjusted difference of -5.00 cm2 (-16.9, 6.91), p = .55. Moreover, changes in total fat mass, lean mass, subcutaneous adipose tissue area, hepatic steatosis and measures in endothelial function were also not statistically different between groups after 12 months. Findings were similar after adjustments for activity levels and coronavirus disease 2019 lockdown duration. CONCLUSIONS: These data provide reassurance that over the initial 12 months of AI therapy, AI treatment is not associated with metabolically adverse changes in body composition, hepatic steatosis or vascular reactivity. The impact of extended AI therapy on cardiometabolic health requires further study.
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    Impact of prehospital opioid dose on angiographic and clinical outcomes in acute coronary syndromes
    Fernando, H ; Nehme, Z ; Dinh, D ; Andrew, E ; Brennan, A ; Shi, W ; Bloom, J ; Duffy, SJ ; Shaw, J ; Peter, K ; Nadurata, V ; Chan, W ; Layland, J ; Freeman, M ; Van Gaal, W ; Bernard, S ; Lefkovits, J ; Liew, D ; Stephenson, M ; Smith, K ; Stub, D (BMJ PUBLISHING GROUP, 2023-02)
    BACKGROUND: An adverse interaction whereby opioids impair and delay the gastrointestinal absorption of oral P2Y12 inhibitors has been established, however the clinical significance of this in acute coronary syndrome (ACS) is uncertain. We sought to characterise the relationship between prehospital opioid dose and clinical outcomes in patients with ACS. METHODS: Patients given opioid treatment by emergency medical services (EMS) with ACS who underwent percutaneous coronary intervention (PCI) between 1 January 2014 and 31 December 2018 were included in this retrospective cohort analysis using data linkage between the Ambulance Victoria, Victorian Cardiac Outcomes Registry and Melbourne Interventional Group databases. Patients with cardiogenic shock, out-of-hospital cardiac arrest and fibrinolysis were excluded. The primary end point was the risk-adjusted odds of 30-day major adverse cardiac events (MACE) between patients who received opioids and those that did not. RESULTS: 10 531 patients were included in the primary analysis. There was no significant difference in 30-day MACE between patients receiving opioids and those who did not after adjusting for key patient and clinical factors. Among patients with ST-elevation myocardial infarction (STEMI), there were significantly more patients with thrombolysis in myocardial infarction (TIMI) 0 or 1 flow pre-PCI in a subset of patients with high opioid dose versus no opioids (56% vs 25%, p<0.001). This remained significant after adjusting for known confounders with a higher predicted probability of TIMI 0/1 flow in the high versus no opioid groups (33% vs 11%, p<0.001). CONCLUSIONS: Opioid use was not associated with 30-day MACE. There were higher rates of TIMI 0/1 flow pre-PCI in patients with STEMI prescribed opioids. Future prospective research is required to verify these findings and investigate alternative analgesia for ischaemic chest pain.
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    The 5-minute Apgar score and childhood school outcomes
    Selvaratnam, RJ ; Wallace, EM ; Davis, PG ; Rolnik, DL ; Fahey, M ; Davey, M-A (WILEY, 2022-10)
    AIM: To examine the association between Apgar score at 5 min and childhood developmental and educational outcome. METHODS: A population-based data linkage study of births ≥37 weeks' gestation linked to developmental outcomes at preparatory school and educational outcomes at school grades 3, 5 and 7 in Victoria, Australia. Multivariable logistic regressions and generalised estimating equations were used. RESULTS: There were 167,126 singleton infants with developmental results and 392,933 singleton infants with at least one educational result. There was an inverse relationship between Apgar score at 5 min and poor developmental and educational outcomes, with the worst outcomes among Apgar scores of 0-3. Apgar scores of 7, 8 and 9 were all associated with poorer developmental outcomes (aOR = 1.31, 95% CI: 1.12-1.54; aOR = 1.17, 95% CI: 1.05-1.29; aOR = 1.08, 95% CI: 1.02-1.13 respectively), while Apgar scores of 7 and 8 were associated with poorer educational outcomes at grades 3, 5, and 7. With progression through grades 3, 5, and 7, the extent of the difference in educational outcomes diminished (e.g. for Apgar scores of 0-3: aOR = 3.33, 95% CI: 1.85-6.00 in grade 3 and aOR = 1.49, 95% CI: 0.75-2.96 in grade 7). CONCLUSION: Apgar scores below 10 at 5 min are associated with poorer developmental and educational outcomes in school.
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    Temporal changes in the epidemiology of sepsis-related intensive care admissions from the emergency department in Australia and New Zealand
    Jones, D ; Moran, J ; Udy, A ; Pilcher, D ; Delaney, A ; Peake, SL (WILEY, 2022-12)
    OBJECTIVES: The Australasian Resuscitation in Sepsis Evaluation (ARISE) study researched septic shock treatment within EDs. This study aims to evaluate whether: (i) conduct of the ARISE study was associated with changes in epidemiology and care for adults (≥18 years) admitted from EDs to ICUs with sepsis in Australia and New Zealand; and (ii) such changes differed among 45 ARISE trial hospitals compared with 120 non-trial hospitals. METHODS: Retrospective study using interrupted time series analysis in three time periods; 'Pre-ARISE' (January 1997 to December 2007), 'During ARISE' (January 2008 to May 2014) and 'Post-ARISE' (June 2014 to December 2017) using data from the Australian and New Zealand Intensive Care Society Adult Patient Database. RESULTS: Over 21 years there were 54 121 ICU admissions from the ED with sepsis; which increased from 8.1% to 16.4%; 54.6% male, median (interquartile range) age 66 (53-76) years. In the pre-ARISE period, pre-ICU ED length of stay (LOS) decreased in trial hospitals but increased in non-trial hospitals (P = 0.174). During the ARISE study, pre-ICU ED LOS declined more in trial hospitals (P = 0.039) as did the frequency of mechanical ventilation in the first 24 h (P = 0.003). However, ICU and hospital LOS, in-hospital mortality and risk of death declined similarly in both trial and non-trial hospitals. CONCLUSIONS: Sepsis-related admissions increased from 8.1% to 16.4%. During the ARISE study, there was more rapid ICU admission and decreased early ventilation. However, these changes were not sustained nor associated with decreased risk of death or duration of hospitalisation.