Browsing by Author "Geduld, H."

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    Establishing a South African national framework for COVID-19 surgical prioritisation
    (Health & Medical Publishing Group, 2021-03-23) Chu, K. M.; Owolabi, E. O.; Smith, M.; Hardcastle, T. C.; Maswime, S.; Geduld, H.; Gopalan, P. D.; Marco, J.; Mendelson, M.; Biccard, B. M.; Cairncross, L.
    Background. Since the start of the COVID-19 pandemic, surgical operations have been drastically reduced in South Africa (SA). Guidelines on surgical prioritisation during COVID-19 have been published, but are specific to high-income countries. There is a pressing need for context-specific guidelines and a validated tool for prioritising surgical cases during the COVID-19 pandemic. In March 2020, the South African National Surgical Obstetric Anaesthesia Plan Task Team was asked by the National Department of Health to establish a national framework for COVID-19 surgical prioritisation. Objectives. To develop a national framework for COVID-19 surgical prioritisation, including a set of recommendations and a risk calculator for operative care. Methods. The surgical prioritisation framework was developed in three stages: (i) a literature review of international, national and local recommendations on COVID-19 and surgical care was conducted; (ii) a set of recommendations was drawn up based on the available literature and through consensus of the COVID-19 Task Team; and (iii) a COVID-19 surgical risk calculator was developed and evaluated. Results. A total of 30 documents were identified from which recommendations around prioritisation of surgical care were used to draw up six recommendations for preoperative COVID-19 screening and testing as well as the use of appropriate personal protective equipment. Ninety-nine perioperative practitioners from eight SA provinces evaluated the COVID-19 surgical risk calculator, which had high acceptability and a high level of concordance (81%) with current clinical practice. Conclusions. This national framework on COVID-19 surgical prioritisation can help hospital teams make ethical, equitable and personalised decisions whether to proceed with or delay surgical operations during this unprecedented epidemic.
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    Predicting outcome in severe traumatic brain injury using a simple prognostic model
    (Health & Medical Publishing Group, 2014-07) Sobuwa, S.; Hartzenberg, H. B.; Geduld, H.; Uys, C.
    Background. Several studies have made it possible to predict outcome in severe traumatic brain injury (TBI) making it beneficial as an aid for clinical decision-making in the emergency setting. However, reliable predictive models are lacking for resource-limited prehospital settings such as those in developing countries like South Africa. Objective. To develop a simple predictive model for severe TBI using clinical variables in a South African prehospital setting. Methods. All consecutive patients admitted at two level-one centres in Cape Town, South Africa, for severe TBI were included. A binary logistic regression model was used, which included three predictor variables: oxygen saturation (SpO2), Glasgow Coma Scale (GCS) and pupil reactivity. The Glasgow Outcome Scale was used to assess outcome on hospital discharge. Results. A total of 74.4% of the outcomes were correctly predicted by the logistic regression model. The model demonstrated SpO2 (p=0.019), GCS (p=0.001) and pupil reactivity (p=0.002) as independently significant predictors of outcome in severe TBI. Odds ratios of a good outcome were 3.148 (SpO2 ≥90%), 5.108 (GCS 6 - 8) and 4.405 (pupils bilaterally reactive). Conclusion. This model is potentially useful for effective predictions of outcome in severe TBI.