Medicine (St Vincent's) - Research Publications
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ItemIdentification of a Neural Mass Model of Burst Suppression(IEEE, 2019)Burst suppression includes alternating patterns of silent and fast spike activities in neuronal activities observable in micro to macro scale recordings. Biological models of burst suppression are given as dynamical systems with slow and fast states. The aim of this paper is to give a method to identify parameters of a mesoscopic model of burst suppression that can provide insights into study underlying generators of intracranial electroencephalogram (iEEG) data. An optimisation technique based upon a genetic algorithm (GA) is employed to find feasible model parameters to replicate burst patterns in the iEEG data with paroxysmal transitions. Then, a continuous discrete unscented Kalman filter (CD-UKF) is used to infer hidden states of the model and to enhance the identification results from the GA. The results show promise in finding the model parameters of a partially observed mesoscopic model of burst suppression.
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ItemNo Preview AvailableEndoscopic features of buried Barrett's mucosa: visible to the trained eye?(Wiley, 2019-12-01)
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ItemThe Victorian Comprehensive Cancer Centre lung cancer clinical audit: collecting the UK National Lung Cancer Audit data from hospitals in Australia(WILEY, 2019-08)BACKGROUND: Clinical audit may improve practice in cancer service provision. The UK National Lung Cancer Audit (NLCA) collects data for all new cases of thoracic cancers. AIM: To collect similar data for our Victorian patients from six hospitals within the Victorian Comprehensive Cancer Centre and associated Western and Central Melbourne Integrated Cancer Service. METHODS: We conducted a retrospective audit of all newly diagnosed patients with lung cancer and mesothelioma in 2013 across the six Victorian Comprehensive Cancer Centre/Western and Central Melbourne Integrated Cancer Service hospitals. The objectives were to adapt the NLCA data set for use in the Australian context, to analyse the findings using descriptive statistics and to determine feasibility of implementing a routine, ongoing audit similar to that in the UK. Individual data items were adapted from the NLCA by an expert steering committee. Data were collated from the Victorian Cancer Registry, Victorian Admitted Episodes Dataset and individual hospital databases. Individual medical records were audited for missing data. RESULTS: Eight hundred and forty-five patients were diagnosed across the sites in 2013. Most were aged 65-80 (55%) and were male (62%). Most had non-small-cell lung cancer (81%) with 9% diagnosed with small cell lung cancer and 2% with mesothelioma. Data completeness varied significantly between fields. For those with higher levels of completeness, headline indicators of clinical care were comparable with NLCA data. The Victorian population seem to lack access to specialist lung cancer nurse services. CONCLUSION: Lung cancer care at participating hospitals appeared to be comparable with the UK in 2013. In future, prospective data collection should be harmonised across sites and correlated with survival outcomes. One area of concern was a lack of documented access to specialist nursing services.
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ItemA case of actinic granuloma responding to oral retinoids(WILEY, 2019-05)
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ItemRisk factors for injury in a community-treated cohort of patients with epilepsy in Australia(WILEY, 2019-03)OBJECTIVE: There remains a paucity of knowledge regarding specific epilepsy-related risk factors for accidents and injuries in people with epilepsy. Injury studies in people with epilepsy are overrepresented, with tertiary based populations that are prone to bias from severe disease. This study aims to assess the contribution of epilepsy-related risk factors to injuries in a community-based cohort. METHODS: We performed a retrospective nested case-control study on patients recruited into the Tasmanian Epilepsy Register (TER) from July 1, 2001 to June 30, 2002. The TER is a community-based cohort of patients with epilepsy in Tasmania, Australia, recruited from the national prescription database and interviewed for epilepsy diagnosis, injuries, and risk factors using validated questionnaires with diagnosis made by an epilepsy specialist. The primary outcome measures were lifetime and recent 12-month injury. Multivariate logistic regression with multiple imputation modeling responder nondisclosure was performed, adjusting for age, gender, region, socioeconomic status, seizure frequency, and epilepsy duration. RESULTS: A total of 819 patients with epilepsy were included in this study. Ten percent of patients experienced an injury in the preceding year. Before adjusting for seizure frequency, any seizure over the past 12 months was associated with recent injury (adjusted odds ratio [OR] = 7.90, 95% confidence interval [CI] = 4.17-14.96). Impaired awareness, cluster seizures, sleep-only seizures, and convulsive seizure were characteristics found to significantly influence injuries irrespective of seizure frequency. Although a warning appeared initially protective for recent injuries (OR = 0.39, 95% CI = 0.22-0.69), this was entirely explained by seizure frequency, with the effect becoming nonsignificant. SIGNIFICANCE: Likely due to their unpredictable nature, seizures expose patients with epilepsy to a high risk of life-threatening injury. These findings emphasize the importance of seizure freedom for maximizing the safety of patients with epilepsy.
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