Impact of comorbidities in severely injured patients with blunt chest injury: A population-based retrospective cohort study.

INTRODUCTION: Blunt chest injuries result in up to 10 % of major trauma admissions. Comorbidities can complicate recovery and increase the mortality rate in this patient cohort. A better understanding of the association between comorbidities and patient outcomes will facilitate enhanced models of care for particularly vulnerable groups of patients, such as older adults. AIMS: i) compare the characteristics of severely injured patients with blunt chest injury with and without comorbidities and ii) examine the relationship between comorbidities and key patient outcomes: prolonged length of stay, re-admission within 28 days, and mortality within 30 days in a cohort of patients with blunt chest injury admitted after severe trauma. METHODS: A retrospective cohort study using linked data from the NSW Trauma Registry and NSW mortality and hospitalisation records between 1st of January 2012 and 31st of December 2019. RESULTS: After adjusting for potential confounding factors, patients with severe injuries, chest injuries, and comorbidities were found to have a 34 % increased likelihood of having a prolonged length of stay (OR = 1.34, 95 %I = 1.17-1.53) compared to patients with no comorbidities. There was no difference in 30-day mortality for patients with a severe chest injury who did or did not have comorbidities (OR = 1.05, 95 %CI = 0.80-1.39). No significant association was found between comorbidities and re-admission within 28 days. CONCLUSION: Severely injured patients with blunt chest injury and comorbidities are at risk of prolonged length of stay.

Real-time x-ray abnormality alerts for emergency departments using a radiographer comment model - a multisite pilot study.

INTRODUCTION: The timely communication of clinically significant image appearances to Emergency Department (ED) referrers is necessary for optimum patient care. Australian reliance on verbal communication only is time-limited, open to misinterpretation and lacks transparency. A combined radiographer alert and comment model was designed to reliably communicate image abnormalities to ED referrers in real-time. METHODS: A multidisciplinary steering group designed the model for all ED general imaging. Protocols were developed to document radiographer comments (critical, urgent and clinically significant) in patients' medical records. Critical findings were communicated directly to ED. Five NSW hospitals varying in size, complexity and population demographics piloted the model between three to twelve months during 2021-2022. Site auditors compared comments with the radiology report and designated each as True Positive (TP), False Positive (FP), indeterminate and clinically significant. Indeterminate cases were analysed by an external radiologist. Inter-observer consensus was obtained for all classifications via two independent auditors. The Positive Predictive Value (PPV), or precision of the comment, was calculated for each site. RESULTS: Radiographers (n = 69) provided comments for 1102 cases. The pooled average PPV for TP was 0.96; (0.947-0.971; 95% CI). The weighted mean error (FP comments) was 3.9%; (2.9% - 5.3%.; 95% CI). CONCLUSION: The Radiographer Comment model provided consistent levels of commenting precision and reproducibility across a range of sites with a pooled average PPV (0.96). The False Positive rate or weighted mean error (FP) of 3.9% (2.9% - 5.3%.; 95% CI) was low. IMPLICATIONS FOR FUTURE PRACTICE: A strategic, interprofessional approach in the implementation of an image alert combined with a Radiographer Comment can be adapted across a variety of hospital settings for ED and other departments.

Impact of comorbidities on survival following major injury across different types of road users.

BACKGROUND: While comorbidities and types of road users are known to influence survival in people hospitalised with injury, few studies have examined the association between comorbidities and survival in people injured in road traffic crashes. Further, few studies have examined outcomes across different types of road users with different types of pre-existing comorbidities. This study aims to examine differences in survival within 30 days of admission among different road user types with and without different pre-existing comorbidities. METHOD: Retrospective cohort study using data for all major road trauma cases were extracted from the NSW Trauma Registry Minimum Dataset (1 January 2013 - 31 July 2019) and linked to the NSW Admitted Patient Data Collection, and the NSW Registry of Births, Deaths and Marriages - death dataset. Pre-existing comorbidities and road user types were identified by the International Statistical Classification of Diseases and Related Health Problems, Tenth Revision, Australian Modification (ICD-10-AM) codes and Charlson Comorbidity Index in the Trauma Registry, hospital admission, and death datasets. Logistic regression was used to assess the associations between six types of road users (pedestrian, pedal cycle, two- and three-wheel motorcycle, car and pick-up truck, heavy vehicle and bus, and other types of vehicle) and death within 30 days of hospital admission while controlling for comorbidities. All models used 'car and pick-up truck driver/passenger' as the road user reference group and adjusted for demographic variables, injury severity, and level of impaired consciousness. RESULTS: Within 6253 traffic injury person-records (all aged ≥15 years old, ISS>12), and in final models, injured road users with major trauma who had a history of cardiovascular diseases (including stroke), diabetes mellitus, and higher Charlson Comorbidity Index score, were more likely to die, than those without pre-existing comorbidities. Furthermore, in final models, pedestrians were more likely to die than car occupants (OR: 1.68 - 1.77, 95CI%: 1.26 - 2.29 depending on comorbidity type). CONCLUSIONS: This study highlights the need to prioritize enhanced management of trauma patients with comorbidities, given the increasing prevalence of chronic medical conditions globally, together with actions to prevent pedestrian crashes in strategies to reach Vision Zero.