Browsing by Author "Geduld, H."
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- ItemEstablishing 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.
- ItemOutcomes following prehospital airway management in severe traumatic brain injury(2013) Sobuwa, S.; Hartzenberg, H. B.; Geduld, H.; Uys, C.BACKGOUND: Prevention of hypoxia and thus secondary brain injury in traumatic brain injury (TBI) is critical. However there is controversy regarding the role of endotracheal intubation in the prehospital management of TBI. OBJECTIVE: To describe the outcome of TBI with various airway management methods employed in the prehospital setting in the Cape Town Metropole. METHODS: The study was a cohort descriptive observational analysis of 124 consecutively injured adult patients who were admitted for severe TBI (Glasgow Coma Score <8) to Groote Schuur and Tygerberg hospitals between 1 January 2009 and 31 August 2011. Patients were categorised by their method of airway management: rapid sequence intubation (RSI), sedation-assisted intubation, failed intubation, basic airway management, and intubated without drugs. Good outcomes were defined by a Glasgow Outcome Score of 4 - 5. RESULTS: There was a statistically significant association between airway management and outcome (p=0.013). Patients who underwent basic airway management had a higher proportion of a good outcome (72.9%) than patients who were intubated in the prehospital setting. A good outcome was observed with 61.8% and 38.4% of patients who experienced sedation-assisted intubation and RSI, respectively. Patients intubated without drugs had the poorest outcome (88%), followed by rapid sequence intubation (61.5%) and by the sedation assisted group (38.2%). CONCLUSION: Prehospital intubation did not demonstrate improved outcomes over basic airway management in patients with severe TBI. A large prospective, randomised trial is warranted to yield some insight into how these airway interventions influence outcome in severe TBI.
- ItemPredicting 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.