NGNicholas P Gibson

Nicholas P Gibson

*This is an algorithmically generated author record based on publicly available information.

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Nicholas P Gibson has a total of 7 co-authors. Here are the top co-authors by number of shared publications:


Latest Publications

  • Open Access

    Systematic review of predictive performance of injury severity scoring tools

    by Hideo Tohira, Ian Jacobs, David Mountain, Nick Gibson, Allen Yeo

    Many injury severity scoring tools have been developed over the past few decades. These tools include the Injury Severity Score (ISS), New ISS (NISS), Trauma and Injury Severity Score (TRISS) and International Classification of Diseases (ICD)-based Injury Severity Score (ICISS). Although many studies have endeavored to determine the ability of these tools to predict the mortality of injured patients, their results have been inconsistent. We conducted a systematic review to summarize the predictive performances of these tools and explore the heterogeneity among studies. We defined a relevant article as any research article that reported the area under the Receiver Operating Characteristic curve as a measure of predictive performance. We conducted an online search using MEDLINE and Embase. We evaluated the quality of each relevant article using a quality assessment questionnaire consisting of 10 questions. The total number of positive answers was reported as the quality score of the study. Meta-analysis was not performed due to the heterogeneity among studies. We identified 64 relevant articles with 157 AUROCs of the tools. The median number of positive answers to the questionnaire was 5, ranging from 2 to 8. Less than half of the relevant studies reported the version of the Abbreviated Injury Scale (AIS) and/or ICD (37.5%). The heterogeneity among the studies could be observed in a broad distribution of crude mortality rates of study data, ranging from 1% to 38%. The NISS was mostly reported to perform better than the ISS when predicting the mortality of blunt trauma patients. The relative performance of the ICSS against the AIS-based tools was inconclusive because of the scarcity of studies. The performance of the ICISS appeared to be unstable because the performance could be altered by the type of formula and survival risk ratios used. In conclusion, high-quality studies were limited. The NISS might perform better in the mortality prediction of blunt injuries than the ISS. Additional studies are required to standardize the derivation of the ICISS and determine the relative performance of the ICISS against the AIS-based tools.


  • Paediatric frequent attenders at emergency departments: A linked‐data population study

    by Nicholas P Gibson, George A Jelinek, Moyez Jiwa, Ann‐Maree Lynch

    Aim:  To characterise the phenomena of paediatric frequent attenders (FAs) to emergency departments (EDs) in Perth.Methods:  A linked data population study of all children (Results:  Over 6.5 years, 229 883 children contributed to 378 068 annualised chains of events (mean 1.5). Most children (98.2%) attended EDs less than five times a year. The more frequently children attended, the more likely they were to be male, younger, self‐referred, have respiratory or infectious disorders, and to arrive by ambulance. Characteristics of those attending 0–4 (n= 371 171) and 5–9 (n= 6405) times per year were broadly similar, while those attending 10–19 times per year (n= 461) were more urgent, had a higher frequency of respiratory disease and higher admission rates (all P < 0.001). Those attending more than 20 times a year (n= 31) had serious chronic illness.Conclusions:  Frequent attenders of 5–9 times a year may be no sicker or more in need of hospital services than those who attend less frequently. The preponderance of respiratory and infectious disorders across all FA groups suggests these could be the focus of further research. We advocate a holistic approach to take into account parental expectations, and a systems approach to change ED attendance behaviour.