69 research outputs found

    Ten-year evolution of a massive transfusion protocol in a level 1 trauma centre : have outcomes improved?

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    Background: We aimed to evaluate the evolution and implementation of the massive transfusion protocol (MTP) in an urban level 1 trauma centre. Most data on this topic comes from trauma centres with high exposure to life‐threatening haemorrhage. This study examines the effect of the introduction of an MTP in an Australian level 1 trauma centre. Methods: A retrospective study of prospectively collected data was performed over a 14‐year period. Three groups of trauma patients, who received more than 10 units of packed red blood cells (PRBC), were compared: a pre‐MTP group (2002–2006), an MTP‐I group (2006–2010) and an MTP‐II group (2010–2016) when the protocol was updated. Key outcomes were mortality, complications and number of blood products transfused. Results: A total of 168 patients were included: 54 pre‐MTP patients were compared to 47 MTP‐I and 67 MTP‐II patients. In the MTP‐II group, fewer units of PRBC and platelets were administered within the first 24 h: 17 versus 14 (P = 0.01) and 12 versus 8 (P < 0.001), respectively. Less infections were noted in the MTP‐I group: 51.9% versus 31.9% (P = 0.04). No significant differences were found regarding mortality, ventilator days, intensive care unit and total hospital lengths of stay. Conclusion: Introduction of an MTP‐II in our level 1 civilian trauma centre significantly reduced the amount of PRBC and platelets used during damage control resuscitation. Introduction of the MTP did not directly impact survival or the incidence of complications. Nevertheless, this study reflects the complexity of real‐life medical care in a level 1 civilian trauma centre

    A computational framework for complex disease stratification from multiple large-scale datasets.

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    BACKGROUND: Multilevel data integration is becoming a major area of research in systems biology. Within this area, multi-'omics datasets on complex diseases are becoming more readily available and there is a need to set standards and good practices for integrated analysis of biological, clinical and environmental data. We present a framework to plan and generate single and multi-'omics signatures of disease states. METHODS: The framework is divided into four major steps: dataset subsetting, feature filtering, 'omics-based clustering and biomarker identification. RESULTS: We illustrate the usefulness of this framework by identifying potential patient clusters based on integrated multi-'omics signatures in a publicly available ovarian cystadenocarcinoma dataset. The analysis generated a higher number of stable and clinically relevant clusters than previously reported, and enabled the generation of predictive models of patient outcomes. CONCLUSIONS: This framework will help health researchers plan and perform multi-'omics big data analyses to generate hypotheses and make sense of their rich, diverse and ever growing datasets, to enable implementation of translational P4 medicine

    Ten-year evolution of a massive transfusion protocol in a level 1 trauma centre: have outcomes improved?

    No full text
    Background: We aimed to evaluate the evolution and implementation of the massive transfusion protocol (MTP) in an urban level 1 trauma centre. Most data on this topic comes from trauma centres with high exposure to life-threatening haemorrhage. This study examines the effect of the introduction of an MTP in an Australian level 1 trauma centre. Methods: A retrospective study of prospectively collected data was performed over a 14-year period. Three groups of trauma patients, who received more than 10 units of packed red blood cells (PRBC), were compared: a pre-MTP group (2002–2006), an MTP-I group (2006–2010) and an MTP-II group (2010–2016) when the protocol was updated. Key outcomes were mortality, complications and number of blood products transfused. Results: A total of 168 patients were included: 54 pre-MTP patients were compared to 47 MTP-I and 67 MTP-II patients. In the MTP-II group, fewer units of PRBC and platelets were administered within the first 24 h: 17 versus 14 (P = 0.01) and 12 versus 8 (P < 0.001), respectively. Less infections were noted in the MTP-I group: 51.9% versus 31.9% (P = 0.04). No significant differences were found regarding mortality, ventilator days, intensive care unit and total hospital lengths of stay. Conclusion: Introduction of an MTP-II in our level 1 civilian trauma centre significantly reduced the amount of PRBC and platelets used during damage control resuscitation. Introduction of the MTP did not directly impact survival or the incidence of complications. Nevertheless, this study reflects the complexity of real-life medical care in a level 1 civilian trauma centre

    Ten‐year evolution of a massive transfusion protocol in a level 1 trauma centre: have outcomes improved?

    No full text
    Background: We aimed to evaluate the evolution and implementation of the massive transfusion protocol (MTP) in an urban level 1 trauma centre. Most data on this topic comes from trauma centres with high exposure to life-threatening haemorrhage. This study examines the effect of the introduction of an MTP in an Australian level 1 trauma centre. Methods: A retrospective study of prospectively collected data was performed over a 14-year period. Three groups of trauma patients, who received more than 10 units of packed red blood cells (PRBC), were compared: a pre-MTP group (2002–2006), an MTP-I group (2006–2010) and an MTP-II group (2010–2016) when the protocol was updated. Key outcomes were mortality, complications and number of blood products transfused. Results: A total of 168 patients were included: 54 pre-MTP patients were compared to 47 MTP-I and 67 MTP-II patients. In the MTP-II group, fewer units of PRBC and platelets were administered within the first 24 h: 17 versus 14 (P = 0.01) and 12 versus 8 (P < 0.001), respectively. Less infections were noted in the MTP-I group: 51.9% versus 31.9% (P = 0.04). No significant differences were found regarding mortality, ventilator days, intensive care unit and total hospital lengths of stay. Conclusion: Introduction of an MTP-II in our level 1 civilian trauma centre significantly reduced the amount of PRBC and platelets used during damage control resuscitation. Introduction of the MTP did not directly impact survival or the incidence of complications. Nevertheless, this study reflects the complexity of real-life medical care in a level 1 civilian trauma centre

    Using staffing ratios for workforce planning: evidence on nine allied health professions

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    Background: Modern healthcare managers are faced with pressure to deliver effective, efficient services within the context of fixed budget constraints. This requires decisions regarding the skill mix of the workforce particularly when staffing new services. One measure used to identify numbers and mix of staff in healthcare settings is workforce ratio. The aim of this study was to identify workforce ratios in nine allied health professions and to identify whether these measures are useful for planning allied health workforce requirements. Method: A systematic literature search using relevant MeSH headings of business, medical and allied health databases and relevant grey literature for the period 2000-2008 was undertaken. Results: Twelve articles were identified which described the use of workforce ratios in allied health services. Only one of these was a staffing ratio linked to clinical outcomes. The most comprehensive measures were identified in rehabilitation medicine. Conclusions: The evidence for use of staffing ratios for allied health practitioners is scarce and lags behind the fields of nursing and medicine
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