Patient and process factors associated with opportunities for improvement in trauma care: a registry-based study.

BACKGROUND: Trauma is one of the leading causes of morbidity and mortality worldwide. Morbidity and mortality review of selected patient cases is used to improve the quality of trauma care by identifying opportunities for improvement (OFI). The aim of this study was to assess how patient and process factors are associated with OFI in trauma care. METHODS: We conducted a registry-based study using all patients between 2017 and 2021 from the Karolinska University Hospital who had been reviewed regarding the presence of OFI as defined by a morbidity and mortality conference. We used bi- and multivariable logistic regression to assess the associations between the following patient and process factors and OFI: age, sex, respiratory rate, systolic blood pressure, Glasgow Coma Scale (GCS), Injury Severity Score (ISS), survival at 30 days, highest hospital care level, arrival on working hours, arrival on weekends, intubation status and time to first computed tomography (CT). RESULTS: OFI was identified in 300 (5.8%) out of 5182 patients. Age, missing Glasgow Coma Scale, time to first CT, highest hospital care level and ISS were statistically significantly associated with OFI. CONCLUSION: Several patient and process factors were found to be associated with OFI, indicating that patients with moderate to severe trauma and those with delays to first CT are at the highest odds of OFI.

Profile and triage validity of trauma patients triaged green: a prospective cohort study from a secondary care hospital in India.

OBJECTIVES: To evaluate the profile of non-urgent patients triaged 'green', as part of a triage trial in the emergency department (ED) of a secondary care hospital in India. The secondary aim was to validate the triage trial with the South African Triage Score (SATS). DESIGN: Prospective cohort study. SETTING: A secondary care hospital in Mumbai, India. PARTICIPANTS: Patients aged 18 years and above with a history of trauma defined as having any of the external causes of morbidity and mortality listed in block V01-Y36, chapter XX of the International Classification of Disease version 10 codebook, triaged green between July 2016 and November 2019. PRIMARY AND SECONDARY OUTCOME MEASURES: Outcome measures were mortality within 24 hours, 30 days and mistriage. RESULTS: We included 4135 trauma patients triaged green. The mean age of patients was 32.8 (±13.1) years, and 77% were males. The median (IQR) length of stay of admitted patients was 3 (13) days. Half the patients had a mild Injury Severity Score (3-8), with the majority of injuries being blunt (98%). Of the patients triaged green by clinicians, three-quarters (74%) were undertriaged on validating with SATS. On telephonic follow-up, two patients were reported dead whereas one died while admitted in hospital. CONCLUSIONS: Our study highlights the need for implementation and evaluation of training in trauma triage systems that use physiological parameters, including pulse, systolic blood pressure and Glasgow Coma Scale, for the in-hospital first responders in the EDs.

Facilitators and barriers impacting in-hospital Trauma Quality Improvement Program (TQIP) implementation across country income levels: a scoping review.

OBJECTIVE: Trauma is a leading cause of mortality and morbidity globally, disproportionately affecting low/middle-income countries (LMICs). Understanding the factors determining implementation success for in-hospital Trauma Quality Improvement Programs (TQIPs) is critical to reducing the global trauma burden. We synthesised topical literature to identify key facilitators and barriers to in-hospital TQIP implementation across country income levels. DESIGN: Scoping review. DATA SOURCES: PubMed, Web of Science and Global Index Medicus databases were searched from June 2009 to January 2022. ELIGIBILITY CRITERIA: Published literature involving any study design, written in English and evaluating any implemented in-hospital quality improvement programme in trauma populations worldwide. Literature that was non-English, unpublished and involved non-hospital TQIPs was excluded. DATA EXTRACTION AND SYNTHESIS: Two reviewers completed a three-stage screening process using Covidence, with any discrepancies resolved through a third reviewer. Content analysis using the Consolidated Framework for Implementation Research identified facilitator and barrier themes for in-hospital TQIP implementation. RESULTS: Twenty-eight studies met the eligibility criteria from 3923 studies identified. The most discussed in-hospital TQIPs in included literature were trauma registries. Facilitators and barriers were similar across all country income levels. The main facilitator themes identified were the prioritisation of staff education and training, strengthening stakeholder dialogue and providing standardised best-practice guidelines. The key barrier theme identified in LMICs was poor data quality, while high-income countries (HICs) had reduced communication across professional hierarchies. CONCLUSIONS: Stakeholder prioritisation of in-hospital TQIPs, along with increased knowledge and consensus of trauma care best practices, are essential efforts to reduce the global trauma burden. The primary focus of future studies on in-hospital TQIPs in LMICs should target improving registry data quality, while interventions in HICs should target strengthening communication channels between healthcare professionals.

Patterns of Head and Neck Injuries in Urban India: A Multicenter Study.

Objective: The pattern of head and neck injuries has been well studied in high-income countries, but the data are limited in low- and middle-income countries, which are disproportionately affected by trauma. We examined a prospective multicenter database to describe patterns and outcomes of head and neck injuries in urban India. Study Design: Retrospective review of trauma registry. Setting: Four tertiary public hospitals in Mumbai, Delhi, Kolkata. Methods: We identified patients with isolated head and neck injuries using International Classification of Diseases, 10th Revision (ICD-10) codes and excluded those with traumatic brain and/or ophthalmic injuries and injuries in other body regions. Results: Our cohort included 171 patients. Most were males (80.7%) and adults aged 18 to 55 years (60.2%). Falls (36.8%) and road traffic accidents (36.3%) were the 2 predominant mechanisms of injury. Overall, 35.7% required intensive care unit (ICU) admission, and 11.7% died. More than 20% of patients were diagnosed with "unspecified injury of neck." Those with the diagnosis had a higher ICU admission rate (51.4% vs 31.3%, P = .025) and mortality rate (27.0% vs 7.5%, P = .001) than those without the diagnosis. Conclusion: Isolated head and neck injuries are not highly prevalent among Indian trauma patients admitted to urban tertiary hospitals but are associated with high mortality. Over a fifth of patients were diagnosed with "unspecified injury of neck," which is associated with more severe clinical outcomes. Exactly what this diagnosis entails and encompasses remains unclear.

Perceived usefulness of trauma audit filters in urban India: a mixed-methods multicentre Delphi study comparing filters from the WHO and low and middle-income countries.

OBJECTIVE: To compare experts' perceived usefulness of audit filters from Ghana, Cameroon, WHO and those locally developed; generate context-appropriate audit filters for trauma care in selected hospitals in urban India; and explore characteristics of audit filters that correlate to perceived usefulness. DESIGN: A mixed-methods approach using a multicentre online Delphi technique. SETTING: Two large tertiary hospitals in urban India. METHODS: Filters were rated on a scale from 1 to 10 in terms of perceived usefulness, with the option to add new filters and comments. The filters were categorised into three groups depending on their origin: low and middle-income countries (LMIC), WHO and New (locally developed), and their scores compared. Significance was determined using Kruskal-Wallis test followed by Wilcoxon rank-sum test. We performed a content analysis of the comments. RESULTS: 26 predefined and 15 new filter suggestions were evaluated. The filters had high usefulness scores (mean overall score 9.01 of 10), with the LMIC filters having significantly higher scores compared with those from WHO and those newly added. Three themes were identified in the content analysis relating to medical relevance, feasibility and specificity. CONCLUSIONS: Audit filters from other LMICs were deemed highly useful in the urban India context. This may indicate that the transferability of defined trauma audit filters between similar contexts is high and that these can provide a starting point when implemented as part of trauma quality improvement programmes in low-resource settings.

Are home environment injuries more fatal in children and the elderly?

INTRODUCTION: 'In-home injuries' are those that occur within the house or its immediate surroundings. The literature on the prevalence and magnitude of home injuries is sparse. This study was designed to characterize the mechanisms of 'in-home' injuries and compare their outcomes with 'outside home injuries'. MATERIALS AND METHODS: The Australia-India Trauma Systems Collaboration (AITSC) Project created a multicentric registry consisting of trauma patients admitted at four urban tertiary care hospitals in India from April 2016 to March 2018. This registry data was analysed for this study. All admitted patients except for dead on arrival were included. Patients were categorised into 'in-home' and 'outside home' cohorts based on the place where the trauma occurred. The outcome measures were 30 day in-hospital mortality and the length of hospital stay. Two subgroup analyses were performed, the first comprised pediatric patients (<15 years) and the second elderly patients >64 years). RESULTS: Among 9354 patients in the AITSC data registry, 8398 patients were included in the study. Out of these, 29 percent were in-home injuries, whereas the rest occurred outside home. The 30 day in-hospital mortality was 10.6 percent in the 'in-home' cohort, as compared to 13.7 percent in the 'outside home' cohort. This difference although significant on univariable analysis (p <0.01), there was no significant difference on multivariable regression analysis, after adjusting for age and injury severity score (OR = 0.88, 95% CI = 0.73-1.04; p = 0.15). The length of hospital stay was shorter in the home injuries group (median = 5 days; IQR = 3-12 days) compared to the outside-home group (median = 7 days; IQR = 4-14 days) (p < 0.01). In the pediatric and the elderly, on multivariable regression analysis, in-home injuries were associated with higher mortality than outside home injuries. CONCLUSION: There was no significant difference in the 30 day in-hospital mortality amongst admitted trauma patients sustaining injuries at home or outside the home. However, in pediatric and elderly patients the chances of mortality was significantly higher when injured at home.

A pilot multicentre cluster randomised trial to compare the effect of trauma life support training programmes on patient and provider outcomes.

INTRODUCTION: Trauma accounts for nearly 10% of the global burden of disease. Several trauma life support programmes aim to improve trauma outcomes. There is no evidence from controlled trials to show the effect of these programmes on patient outcomes. We describe the protocol of a pilot study that aims to assess the feasibility of conducting a cluster randomised controlled trial comparing advanced trauma life support (ATLS) and primary trauma care (PTC) with standard care. METHODS AND ANALYSIS: We will pilot a pragmatic three-armed parallel, cluster randomised controlled trial in India, where neither of these programmes are routinely taught. We will recruit tertiary hospitals and include trauma patients and residents managing these patients. Two hospitals will be randomised to ATLS, two to PTC and two to standard care. The primary outcome will be all-cause mortality at 30 days from the time of arrival to the emergency department. Our secondary outcomes will include patient, provider and process measures. All outcomes except time-to-event outcomes will be measured both as final values as well as change from baseline. We will compare outcomes in three combinations of trial arms: ATLS versus PTC, ATLS versus standard care and PTC versus standard care using absolute and relative differences along with associated CIs. We will conduct subgroup analyses across the clinical subgroups men, women, blunt multisystem trauma, penetrating trauma, shock, severe traumatic brain injury and elderly. In parallel to the pilot study, we will conduct community consultations to inform the planning of the full-scale trial. ETHICS AND DISSEMINATION: We will apply for ethics approvals to the local institutional review board in each hospital. The protocol will be published to Clinical Trials Registry-India and ClinicalTrials.gov. The results will be published and the anonymised data and code for analysis will be released publicly.

Association of adolescents' independent mobility with road traffic injuries in Karachi, Pakistan: a cross-sectional study.

OBJECTIVE: Participation in walking, cycling and taking public transportation without adult supervision is defined as independent mobility of children and adolescents. The association between adolescents' independent mobility and road traffic injury (RTI) is unclear. The purpose of this study is to determine measures of adolescents' independent mobility associated with RTIs in an urban lower middle-income setting. STUDY DESIGN: Cross-sectional survey. SETTING: Schools in Karachi, Pakistan. PARTICIPANTS: Adolescents aged 10-19 years in grades 6-10 were enrolled from private and public schools. OUTCOME: Any self-reported lifetime RTI sustained as a pedestrian, as a cyclist or while in a car or another vehicle that resulted in any first aid at home/school or consultation in a healthcare setting. EXPOSURE: Self-reported independent mobility was assessed by four variables. (1) Any travel companion from school to home on the survey day, (2) parental permission to cross main roads alone, (3) parental permission to travel by public bus alone and (4) activity/activities outside the home on the previous weekend alone. RESULTS: Data from 1264 adolescents, 10-19 years old, were included. Most were females (60%). Adolescents who had parental permission to cross main roads alone (adjusted OR (aOR) 1.39; 95% CI 1.04 to 1.86) and who participated in one or more activities outside the home alone on the previous weekend (aOR 2.61; 95% CI 1.42 to 5.13) or participated in a mixture of activities with and without adult accompaniment (aOR 2.50; 95% CI 1.38 to 4.89) had higher odds of RTIs. CONCLUSIONS: Parental permission to cross main roads alone and participation in activity/activities outside the home on the previous weekend alone were two measures of independent mobility associated with higher odds of RTIs among adolescents. The study provides an understanding of the risk posed by adolescents' independent mobility in road traffic environments.

Towards definitions of critical illness and critical care using concept analysis.

OBJECTIVE: As 'critical illness' and 'critical care' lack consensus definitions, this study aimed to explore how the concepts' are used, describe their defining attributes, and propose potential definitions. DESIGN AND METHODS: We used the Walker and Avant approach to concept analysis. The uses and definitions of the concepts were identified through a scoping review of the literature and an online survey of 114 global clinical experts. We used the Arksey and O'Malley framework for scoping reviews and searched in PubMed and Web of Science with a strategy including terms around critical illness/care and definitions/etymologies limited to publications in English between 1 January 2008 and 1 January 2020. The experts were selected through purposive sampling and snowballing, with 36.8% in Africa, 25.4% in Europe, 22.8% in North America, 10.5% in Asia, 2.6% in South America and 1.8% in Australia. They worked with anaesthesia or intensive care 59.1%, emergency care 15.8%, medicine 9.5%, paediatrics 5.5%, surgery 4.7%, obstetrics and gynaecology 1.6% and other specialties 3.9%. Through content analysis of the data, we extracted codes, categories and themes to determine the concepts' defining attributes and we proposed potential definitions. To assist understanding, we developed model, related and contrary cases concerning the concepts, we identified antecedents and consequences to the concepts, and defined empirical referents. RESULTS: Nine and 13 articles were included in the scoping reviews of critical illness and critical care, respectively. A total of 48 codes, 14 categories and 4 themes were identified in the uses and definitions of critical illness and 60 codes, 13 categories and 5 themes for critical care. The defining attributes of critical illness were a high risk of imminent death; vital organ dysfunction; requirement for care to avoid death; and potential reversibility. The defining attributes of critical care were the identification, monitoring and treatment of critical illness; vital organ support; initial and sustained care; any care of critical illness; and specialised human and physical resources. The defining attributes led to our proposed definitions of critical illness as, 'a state of ill health with vital organ dysfunction, a high risk of imminent death if care is not provided and the potential for reversibility', and of critical care as, 'the identification, monitoring and treatment of patients with critical illness through the initial and sustained support of vital organ functions.' CONCLUSION: The concepts critical illness and critical care lack consensus definitions and have varied uses. Through concept analysis of uses and definitions in the literature and among experts, we have identified the defining attributes of the concepts and proposed definitions that could aid clinical practice, research and policy-making.

Measuring socioeconomic outcomes in trauma patients up to one year post-discharge: A systematic review and meta-analysis.

INTRODUCTION: Trauma accounts for nearly one-tenth of the global disability-adjusted life-years, a large proportion of which is seen in low- and middle-income countries (LMICs). Trauma can affect employment opportunities, reduce social participation, be influenced by social support, and significantly reduce the quality of life (QOL) among survivors. Research typically focuses on specific trauma sub-groups. This dispersed knowledge results in limited understanding of these outcomes in trauma patients as a whole across different populations and settings. We aimed to assess and provide a systematic overview of current knowledge about return-to-work (RTW), participation, social support, and QOL in trauma patients up to one year after discharge. METHODS: We undertook a systematic review of the literature published since 2010 on RTW, participation, social support, and QOL in adult trauma populations, up to one year from discharge, utilizing the most commonly used measurement tools from three databases: MEDLINE, EMBASE, and the Cochrane Library. We performed a meta-analysis based on the type of outcome, tool for measurement, and the specific effect measure as well as assessed the methodological quality of the included studies. RESULTS: A total of 43 articles were included. More than one-third (36%) of patients had not returned to work even a year after discharge. Those who did return to work took more than 3 months to do so. Trauma patients reported receiving moderate social support. There were no studies reporting social participation among trauma patients using the inclusion criteria. The QOL scores of the trauma patients did not reach the population norms or pre-injury levels even a year after discharge. Older adults and females tended to have poorer outcomes. Elderly individuals and females were under-represented in the studies. More than three-quarters of the included studies were from high-income countries (HICs) and had higher methodological quality. CONCLUSION: RTW and QOL are affected by trauma even a year after discharge and the social support received was moderate, especially among elderly and female patients. Future studies should move towards building more high-quality evidence from LMICs on long-term socioeconomic outcomes including social support, participation and unpaid work.

Association between triage level and outcomes at Médecins Sans Frontières trauma hospital in Kunduz, Afghanistan, 2015.

BACKGROUND: Five million people die annually due to injuries; an increasing part is due to armed conflict in low-income and middle-income countries, demanding resolute emergency trauma care. In Afghanistan, a low-income country that has experienced conflict for over 35 years, conflict related trauma is a significant public health problem. To address this, the non-governmental organisation Médecins Sans Frontières (MSF) set up a trauma centre in Kunduz (Kunduz Trauma Centre (KTC)). MSF's standardised emergency operating procedures include the South African Triage Scale (SATS). To date, there are few studies that assess how triage levels correspond with outcome in low-resource conflict settings AIM: This study aims to assess to what extent SATS triage levels correlated to outcomes in terms of hospital admission, intensive care unit (ICU) admission and mortality for patients treated at KTC. METHOD AND MATERIALS: This retrospective study used routinely collected data from KTC registries. A total of 17 970 patients were included. The outcomes were hospital admission, ICU admission and mortality. The explanatory variable was triage level. Covariates including age, gender and delay to arrival were used. Logistic regression was used to study the correlation between triage level and outcomes. RESULTS: Out of all patients seeking care, 28.7% were triaged as red or orange. The overall mortality was 0.6%. In total, 90% of those that died and 79% of ICU-admitted patients were triaged as red. CONCLUSION: The risk of positive and negative outcomes correlated with triage level. None of the patients triaged as green died or were admitted to the ICU whereas 90% of patients who died were triaged as red.

The advanced machine learner XGBoost did not reduce prehospital trauma mistriage compared with logistic regression: a simulation study.

BACKGROUND: Accurate prehospital trauma triage is crucial for identifying critically injured patients and determining the level of care. In the prehospital setting, time and data are often scarce, limiting the complexity of triage models. The aim of this study was to assess whether, compared with logistic regression, the advanced machine learner XGBoost (eXtreme Gradient Boosting) is associated with reduced prehospital trauma mistriage. METHODS: We conducted a simulation study based on data from the US National Trauma Data Bank (NTDB) and the Swedish Trauma Registry (SweTrau). We used categorized systolic blood pressure, respiratory rate, Glasgow Coma Scale and age as our predictors. The outcome was the difference in under- and overtriage rates between the models for different training dataset sizes. RESULTS: We used data from 813,567 patients in the NTDB and 30,577 patients in SweTrau. In SweTrau, the smallest training set of 10 events per free parameter was sufficient for model development. XGBoost achieved undertriage rates in the range of 0.314-0.324 with corresponding overtriage rates of 0.319-0.322. Logistic regression achieved undertriage rates ranging from 0.312 to 0.321 with associated overtriage rates ranging from 0.321 to 0.323. In NTDB, XGBoost required the largest training set size of 1000 events per free parameter to achieve robust results, whereas logistic regression achieved stable performance from a training set size of 25 events per free parameter. For the training set size of 1000 events per free parameter, XGBoost obtained an undertriage rate of 0.406 with an overtriage of 0.463. For logistic regression, the corresponding undertriage was 0.395 with an overtriage of 0.468. CONCLUSION: The under- and overtriage rates associated with the advanced machine learner XGBoost were similar to the rates associated with logistic regression regardless of sample size, but XGBoost required larger training sets to obtain robust results. We do not recommend using XGBoost over logistic regression in this context when predictors are few and categorical.

The transfer of clinical prediction models for early trauma care had uncertain effects on mistriage.

OBJECTIVES: This study aimed to assess how transfers of clinical prediction models for early trauma care between different care contexts within a single health system affected mistriage rates. STUDY DESIGN AND SETTING: Patients aged 15 years or older, registered between 2011 and 2016 in the Swedish national trauma registry, SweTrau, were included. Three data set groups were created: high- and low-volume centers, metropolitan and nonmetropolitan centers, and multicenters and single centers. Clinical prediction models were developed using logistic regression in each data set group and transferred between data sets within groups. Model performance was evaluated using mistriage rate, undertriage rate, and overtriage rate. Multiple imputation using chained equations was used to handle missing data. Model performance was reported as medians with 95% confidence intervals (CIs). RESULTS: A total of 26,965 patients were included. Changes in mistriage rates after transfer ranged from -0.25 (95% CI -0.21 to 0.04) to 0.29 (95% CI 0.13-0.39). Both overtriage and undertriage rates were affected. CONCLUSIONS: Transferring clinical prediction models for early trauma care is associated with substantial uncertainty in regards to the effect on model performance. Depending on the care context, model transfer led to either increased or decreased mistriage. Overtriage was more affected by model transfer than undertriage.

Predicting the Unpredictable - Harder than Expected.

INTRODUCTION: An earthquake is a hazard that may cause urgent needs requiring international assistance. To ensure rapid funding for such needs-based humanitarian assistance, swift decisions are needed. However, data to guide needs-based funding decisions are often missing in the acute phase, causing delays. Instead, it may be feasible to use data building on existing indexes that capture hazard and vulnerability information to serve as a rapid tool to prioritize funding according to the scale of needs: needs-based funding. However, to date, it is not known to what extent the indicators in the indexes can predict the scale of disaster needs. The aim of this study was to identify predictors for the scale of disaster needs after earthquakes. METHODOLOGY: The predictive performance of vulnerability indicators and outcome indicators of four commonly used disaster risk and severity indexes were assessed, both individually and in different combinations, using linear regression. The number of people who reportedly died or who were affected was used as an outcome variable for the scale of needs, using data from the Emergency Events Database (EM-DAT) provided by the Centre for Research on the Epidemiology of Disasters at the Université Catholique de Louvain (CRED; Brussels, Belgium) from 2007 through 2016. Root mean square error (RMSE) was used as the performance measure. RESULTS: The assessed indicators did not predict the scale of needs. This attempt to create a multivariable model that included the indicators with the lowest RMSE did not result in any substantially improved performance. CONCLUSION: None of the indicators, nor any combination of the indicators, used in the four assessed indexes were able to predict the scale of needs in the assessed earthquakes with any precision.

Comparison of emergency department trauma triage performance of clinicians and clinical prediction models: a cohort study in India.

OBJECTIVE: The aim of this study was to evaluate and compare the abilities of clinicians and clinical prediction models to accurately triage emergency department (ED) trauma patients. We compared the decisions made by clinicians with the Revised Trauma Score (RTS), the Glasgow Coma Scale, Age and Systolic Blood Pressure (GAP) score, the Kampala Trauma Score (KTS) and the Gerdin et al model. DESIGN: Prospective cohort study. SETTING: Three hospitals in urban India. PARTICIPANTS: In total, 7697 adult patients who presented to participating hospitals with a history of trauma were approached for enrolment. The final study sample included 5155 patients. The majority (4023, 78.0%) were male. MAIN OUTCOME MEASURE: The patient outcome was mortality within 30 days of arrival at the participating hospital. A grid search was used to identify model cut-off values. Clinicians and categorised models were evaluated and compared using the area under the receiver operating characteristics curve (AUROCC) and net reclassification improvement in non-survivors (NRI+) and survivors (NRI-) separately. RESULTS: The differences in AUROCC between each categorised model and the clinicians were 0.016 (95% CI -0.014 to 0.045) for RTS, 0.019 (95% CI -0.007 to 0.058) for GAP, 0.054 (95% CI 0.033 to 0.077) for KTS and -0.007 (95% CI -0.035 to 0.03) for Gerdin et al. The NRI+ for each model were -0.235 (-0.37 to -0.116), 0.17 (-0.042 to 0.405), 0.55 (0.47 to 0.65) and 0.22 (0.11 to 0.717), respectively. The NRI- were 0.385 (0.348 to 0.4), -0.059 (-0.476 to -0.005), -0.162 (-0.18 to -0.146) and 0.039 (-0.229 to 0.06), respectively. CONCLUSION: The findings of this study suggest that there are no substantial differences in discrimination and net reclassification improvement between clinicians and all four clinical prediction models when using 30-day mortality as the outcome of ED trauma triage in adult patients. TRIAL REGISTRATION NUMBER: ClinicalTrials.gov Registry (NCT02838459).

The search for a simple injury score to reliably discriminate the risk of in-hospital mortality in South Africa.

BACKGROUND: The Injury Severity Score and Trauma and Injury Severity Score are used commonly to quantify the severity of injury, but they require comprehensive data collection that is impractical in many low- and middle-income countries . We sought to develop an injury score that is more feasible to implement in low- and middle-income countries with discrimination similar to the Injury Severity Score and the Trauma and Injury Severity Score. METHODS: Clinical data from KwaZulu-Natal, South Africa were used to compare the discrimination of the Injury Severity Score and the Trauma and Injury Severity Score with that of the 5, simple injury scores that rely primarily on physiologic data: Revised Trauma Score for Triage, "Mechanism, Glasgow Coma Scale, Age, Pressure" Score, Kampala Trauma Score, modified Kampala Trauma Score, and "Reversed Shock Index Multiplied by Glasgow Coma Scale" Score. RESULTS: Data for 3,991 patients were analyzed. The Trauma and Injury Severity Score, the Injury Severity Score, and Kampala Trauma Score had similar discrimination (area under the receiver operating curve 0.85, 0.84, and 0.84, respectively). The simple injury scores demonstrated worse discrimination among patients presenting more than 6 hours postinjury, although Kampala Trauma Score maintained the best discrimination of the simple injury scores. CONCLUSION: In this patient population, Kampala Trauma Score demonstrated discrimination similar to the Injury Severity Score and the Trauma and Injury Severity Score and may be useful to quantify the severity of injury when calculation of the Injury Severity Score or the Trauma and Injury Severity Score is not feasible. Delay in presentation can degrade the discrimination of simple injury scores that rely primarily on physiologic data.

Association Between Gender, Surgery and Mortality for Patients Treated at Médecins Sans Frontières Trauma Centre in Kunduz, Afghanistan.

INTRODUCTION: There is paucity of literature describing type of injury and care for females in conflicts. This study aimed to describe the injury pattern and outcome in terms of surgery and mortality for female patients presenting to Médecins Sans Frontières Trauma Centre in Kunduz, Afghanistan, and compare them with males. MATERIALS AND METHODS: This study retrospectively analysed patient data from 17,916 patients treated at the emergency department in Kunduz between January and September 2015, before its destruction by aerial bombing in October the same year. Routinely collected data on patient characteristics, injury patterns, triage category, time to arrival and outcome were retrieved and analysed. Comparative analyses were conducted using logistic regression. RESULTS: Females constituted 23.6% of patients. Burns and back injuries were more common among females (1.4% and 3.3%) than among males (0.6% and 2.0%). In contrast, open wounds and thoracic injuries were more common among males (10.1% and 0.6%) than among females (5.2% and 0.2%). Females were less likely to undergo surgery (OR 0.60, CI 0.528-0.688), and this remained significant after adjustment for age, nature of injury, triage category, multiple injuries and delay to arrival (OR 0.80, CI 0.690-0.926). Females also had lower unadjusted odds of mortality (OR 0.49, CI 0.277-0.874), but this was not significant in the adjusted analysis (OR 0.81, CI 0.446-1.453). CONCLUSION: Our main findings suggest that females seeking care at Kunduz Trauma Centre arrived later, had different injury patterns and were less likely to undergo surgery as compared to males.

Prevalence of a definitive airway in patients with severe traumatic brain injury received at four urban public university hospitals in India: a cohort study.

AIM: To estimate the proportion of patients arriving with a Glasgow Coma Scale (GCS) less than 9 who had a definitive airway placed prior to arrival. METHODS: We conducted a retrospective analysis of the data from a multicentre, prospective observational research project entitled Towards Improved Trauma Care Outcomes in India. Adults aged ≥18 years with an isolated traumatic brain injury (TBI) who were transferred from another hospital to the emergency department of the participating hospital with a GCS less than 9 were included. Our outcome was a definitive airway, defined as either intubation or surgical airway, placed prior to arrival at a participating centre. RESULTS: The total number of patients eligible for this study was 1499. The median age was 40 years and 84% were male. Road traffic injuries and falls comprised 88% of the causes of isolated TBI. The number of patients with GCS<9 who had a definitive airway placed before reaching the participating centres was 229. Thus, the proportion was 0.15 (95% CI 0.13 to 0.17). The proportions of patients with a definitive airway who arrived after 24 hours (19%) were approximately double the proportion of patients who arrived within 6 hours (10%) after injury to the definitive care centre. CONCLUSION: The rates of definitive airway placement are poor in adults with an isolated TBI who have been transferred from another health facility to tertiary care centres in India.

The global need for essential emergency and critical care.

Critical illness results in millions of deaths each year. Care for those with critical illness is often neglected due to a lack of prioritisation, co-ordination, and coverage of timely identification and basic life-saving treatments. To improve care, we propose a new focus on essential emergency and critical care (EECC)-care that all critically ill patients should receive in all hospitals in the world. Essential emergency and critical care should be part of universal health coverage, is appropriate for all countries in the world, and is intended for patients irrespective of age, gender, underlying diagnosis, medical specialty, or location in the hospital. Essential emergency and critical care is pragmatic and low-cost and has the potential to improve care and substantially reduce preventable mortality.

Predicting mortality with the international classification of disease injury severity score using survival risk ratios derived from an Indian trauma population: A cohort study.

BACKGROUND: Trauma is predicted to become the third leading cause of death in India by 2020, which indicate the need for urgent action. Trauma scores such as the international classification of diseases injury severity score (ICISS) have been used with great success in trauma research and in quality programmes to improve trauma care. To this date no valid trauma score has been developed for the Indian population. STUDY DESIGN: This retrospective cohort study used a dataset of 16047 trauma-patients from four public university hospitals in urban India, which was divided into derivation and validation subsets. All injuries in the dataset were assigned an international classification of disease (ICD) code. Survival Risk Ratios (SRRs), for mortality within 24 hours and 30 days were then calculated for each ICD-code and used to calculate the corresponding ICISS. Score performance was measured using discrimination by calculating the area under the receiver operating characteristics curve (AUROCC) and calibration by calculating the calibration slope and intercept to plot a calibration curve. RESULTS: Predictions of 30-day mortality showed an AUROCC of 0.618, calibration slope of 0.269 and calibration intercept of 0.071. Estimates of 24-hour mortality consistently showed low AUROCCs and negative calibration slopes. CONCLUSIONS: We attempted to derive and validate a version of the ICISS using SRRs calculated from an Indian population. However, the developed ICISS-scores overestimate mortality and implementing these scores in clinical or policy contexts is not recommended. This study, as well as previous reports, suggest that other scoring systems might be better suited for India and other Low- and middle-income countries until more data are available.