Extraction frequent patterns in trauma dataset based on automatic generation of minimum support and feature weighting.

PURPOSE: Data mining has been used to help discover Frequent patterns in health data. it is widely used to diagnose and prevent various diseases and to obtain the causes and factors affecting diseases. Therefore, the aim of the present study is to discover frequent patterns in the data of the Kashan Trauma Registry based on a new method. METHODS: We utilized real data from the Kashan Trauma Registry. After pre-processing, frequent patterns and rules were extracted based on the classical Apriori algorithm and the new method. The new method based on the weight of variables and the harmonic mean was presented for the automatic calculation of minimum support with the Python. RESULTS: The results showed that the minimum support generation based on the weighting features is done dynamically and level by level, while in the classic Apriori algorithm considering that only one value is considered for the minimum support manually by the user. Also, the performance of the new method was better compared to the classical Apriori method based on the amount of memory consumption, execution time, the number of frequent patterns found and the generated rules. CONCLUSIONS: This study found that manually determining the minimal support increases execution time and memory usage, which is not cost-effective, especially when the user does not know the dataset's content. In trauma registries and massive healthcare datasets, its ability to uncover common item groups and association rules provides valuable insights. Also, based on the patterns produced in the trauma data, the care of the elderly by their families, education to the general public about encountering patients who have an accident and how to transport them to the hospital, education to motorcyclists to observe safety points in Recommended when using a motorcycle.

Implementation of health-related quality of life in the German TraumaRegister DGU® - first results of a pilot study.

BACKGROUND: Approximately 30,000 people are affected by severe injuries in Germany each year. Continuous progress in prehospital and hospital care has significantly reduced the mortality of polytrauma patients. With increasing survival rates, the functional outcome, health-related quality (hrQoL) of life and ability to work are now gaining importance. Aim of the study is, the presentation of the response behavior of seriously injured patients on the one hand and the examination of the factors influencing the quality of life and ability to work 12 months after major trauma on the other hand. Building on these initial results, a standard outcome tool shall be integrated in the established TraumaRegister DGU® in the future. METHODS: In 2018, patients [Injury Severity Score (ISS) ≥ 16; age:18-75 years] underwent multicenter one-year posttraumatic follow-up in six study hospitals. In addition to assessing hrQoL by using the Short-Form Health Survey (SF-12), five additional questions (treatment satisfaction; ability to work; trauma-related medical treatment; relevant physical disability, hrQoL as compared with the prior to injury status) were applied. RESULTS: Of the 1,162 patients contacted, 594 responded and were included in the analysis. The post-injury hrQoL does not show statistically significant differences between the sexes. Regarding age, however, the younger the patient at injury, the better the SF-12 physical sum score. Furthermore, the physically perceived quality of life decreases statistically significantly in relation to the severity of the trauma as measured by the ISS, whereas the mentally perceived quality of life shows no differences in terms of injury severity. A large proportion of severely injured patients were very satisfied (42.2%) or satisfied (39.9%) with the treatment outcome. It should be emphasized that patients with a high injury severity (ISS > 50) were on average more often very satisfied with the treatment outcome (46.7%). A total of 429 patients provided information on their ability to work 12 months post-injury. Here, 194 (45.2%) patients had a full employment, and 58 (13.5%) patients were had a restricted employment. CONCLUSION: The present results show the importance of a structured assessment of the postinjury hrQoL and the ability to work after polytrauma. Further studies on the detection of influenceable risk factors on hrQoL and ability to work in the intersectoral course of treatment should follow to enable the best possible outcome of polytrauma survivors.

Impacting trauma care in resource-limited settings: Lessons learned from Tanzania's web-based trauma registry initiatives.

BACKGROUND: Trauma significantly impacts Tanzanian healthcare. Lacking standardized hospital-based minimal trauma data sets places further challenges for policymakers. In other resource-limited countries, implementing trauma systems and registries has reduced injury mortalities. In 2013, we introduced an electronic trauma registry, iTRAUMATM at the Tanzanian Muhimbili Orthopedic Institute (MOI) but noted several drawbacks. In 2023, we introduced a robust web-based trauma registry platform. This study assesses the feasibility and utility of implementing the platform at MOI and summarizes challenges, lessons, and results compared to existing systems. METHODS: This prospective observational study involved clinicians collecting data directly on the platform at the point-of-care, following specific training. Semi-structured interviews with local stakeholders identified challenges and areas for improvement. Data were reported from July to December 2023. RESULTS: Data from 2930 patients showed 59% of injuries were from road traffic collisions (RTCs), with 43% of patients arriving at MOI by non-ambulances. Our findings show that non-ambulance arrivals were associated with higher injury severity (p < 0.026), mortalities (p < 0.017), and delayed hospital arrival (p < 0.004), underscoring the critical role of prompt transport in trauma management. The new platform identified trauma care gaps, with a mean arrival-to-care time of 29.89 min, prompting trauma training at MOI to enhance clinician capacities. It also demonstrated superiority over existing systems by improving data completeness, timeliness, and usability. Challenges included gaining support for the platform's functionality, technology integration, and navigating administrative changes. With continued communication, stakeholder acceptance and support were achieved. CONCLUSION: The web-based platform has become MOI's standard trauma database, demonstrating its feasibility and utility. It overcame the existing challenges of data completeness, timeliness, and usability for policymaking. Positive feedback has prompted plans to expand the platform to other hospitals, benefiting clinical benchmarking and trauma preventive efforts. Ensuring sustainability requires involvement from the Ministry of Health, ongoing training, functionality enhancements, and strengthened global partnerships.

Reality of treatment for severely injured patients: are there age-specific differences?

BACKGROUND: Major trauma and its consequences are one of the leading causes of death worldwide across all age groups. Few studies have conducted comparative age-specific investigations. It is well known that children respond differently to major trauma than elderly patients due to physiological differences. The aim of this study was to analyze the actual reality of treatment and outcomes by using a matched triplet analysis of severely injured patients of different age groups. METHODS: Data from the TraumaRegister DGU® were analyzed. A total of 56,115 patients met the following inclusion criteria: individuals with Maximum Abbreviated Injury Scale > 2 and < 6, primary admission, from German-speaking countries, and treated from 2011-2020. Furthermore, three age groups were defined (child: 3-15 years; adult: 20-50 years; and elderly: 70-90 years). The matched triplets were defined based on the following criteria: 1. exact injury severity of the body regions according to the Abbreviated Injury Scale (head, thorax, abdomen, extremities [including pelvis], and spine) and 2. level of the receiving hospital. RESULTS: A total of 2,590 matched triplets could be defined. Traffic accidents were the main cause of severe injury in younger patients (child: 59.2%; adult: 57.9%). In contrast, low falls (from < 3 m) were the most frequent cause of accidents in the elderly group (47.2%). Elderly patients were least likely to be resuscitated at the scene. Both children and elderly patients received fewer therapeutic interventions on average than adults. More elderly patients died during the clinical course, and their outcome was worse overall, whereas the children had the lowest mortality rate. CONCLUSIONS: For the first time, a large patient population was used to demonstrate that both elderly patients and children may have received less invasive treatment compared with adults who were injured with exactly the same severity (with the outcomes of these two groups being opposite to each other). Future studies and recommendations should urgently consider the different age groups.

Traumatic injuries among Alaska's young workers: Linking cases from four data systems.

BACKGROUND: Young workers (aged 15-24 years) experience higher rates of job-related injury compared with workers aged 25-44 years in the United States. Young workers may have limited or no prior work experience or safety training, which can contribute to their injury risk. In 2018, Alaska had the second highest work-related fatality rate and 14th highest non-fatal injury rate in the United States. This study aimed to characterize nonfatal and fatal occupational injuries among young workers in Alaska. METHODS: To describe injury patterns among Alaska young workers from 2014-2018, we used data from four datasets: Alaska Workers' Compensation, Alaska Occupational Injury Surveillance System, Alaska Trauma Registry, and Alaska Fishermen's Fund. The datasets were merged two at a time and filtered by the worker characteristics (e.g., age and sex) and incident characteristics (e.g., date of injury). Duplicates were then manually identified between the datasets using the variables above. The injury narrative and Occupational Injury and Illness Classification System codes were used last to verify true duplicates. Descriptive analyses were performed after the duplicates were merged. RESULTS: During the 5-year study period 2014-2018, young workers experienced 20 fatal and 12,886 nonfatal injuries. Residents of Alaska comprised 85% of nonfatal and 70% of fatal injuries. The top three major occupation groups with the highest number of injuries were production (1,391, 14%), food preparation (1,225, 12%), and transportation/material moving (1,166, 11%). The most common events leading to injuries were struck by object or equipment (2,027, 21%), overexertion involving outside sources (1,385, 14%), and struck against object or equipment (905, 9%). The most common nature of injuries were sprains/strains/tears (3,024, 29%), cuts/lacerations (1,955, 19%), and bruises/contusions (1,592, 15%). CONCLUSION: Although progress has been made in reducing worker injuries, Alaskan young workers still experience injuries and fatalities frequently. Based on findings, there is a clear need for employers, researchers, public health professionals, parents, and young workers to prioritize young worker safety through an integrated approach, from education and training to adequate workplace supervision and support.

Associated Risk Factors and Impact in Clinical Outcomes of Multiorgan Failure in Patients with TBI.

BACKGROUND: Individual extracerebral organ dysfunction is common after severe traumatic brain injury (TBI) and impacts outcomes. However, multiorgan failure (MOF) has received less attention in patients with isolated TBI. Our objective was to analyze the risk factors associated with the development of MOF and its impact in clinical outcomes in patients with TBI. METHODS: This was an observational, prospective, multicenter study using data from a nationwide registry that currently includes 52 intensive care units (ICUs) in Spain (RETRAUCI). Isolated significant TBI was defined as Abbreviated Injury Scale (AIS) ≥ 3 in the head area with no AIS ≥ 3 in any other anatomical area. Multiorgan failure was defined using the Sequential-related Organ Failure Assessment as the alteration of two or more organs with a score of ≥ 3. We analyzed the contribution of MOF to crude and adjusted mortality (age and AIS head) by using logistic regression analysis. A multiple logistic regression analysis was performed to analyze the risk factors associated with the development of MOF in patients with isolated TBI. RESULTS: A total of 9790 patients with trauma were admitted to the participating ICUs. Of them, 2964 (30.2%) had AIS head ≥ 3 and no AIS ≥ 3 in any other anatomical area, and these patients constituted the study cohort. Mean age was 54.7 (19.5) years, 76% of patients were men, and ground-level falls were the main mechanism of injury (49.1%). In-hospital mortality was 22.2%. Up to 185 patients with TBI (6.2%) developed MOF during their ICU stay. Crude and adjusted (age and AIS head) mortality was higher in patients who developed MOF (odds ratio 6.28 [95% confidence interval 4.58-8.60] and odds ratio 5.20 [95% confidence interval 3.53-7.45]), respectively. The logistic regression analysis showed that age, hemodynamic instability, the need of packed red blood cells concentrates in the initial 24 h, the severity of brain injury, and the need for invasive neuromonitoring were significantly associated with MOF development. CONCLUSIONS: MOF occurred in 6.2% of patients with TBI admitted to the ICU and was associated with increased mortality. MOF was associated with age, hemodynamic instability, the need of packed red blood cells concentrates in the initial 24 h, the severity of brain injury, and the need for invasive neuromonitoring.

Epidemiology of hand injuries that presented to a tertiary care facility in Germany: a study including 435 patients.

BACKGROUND: Hand injuries compose up to 30% of all injuries in emergency care. However, there is a lack of epidemiological data reflecting patient or accident-related variables, injury types, injured anatomical structures or trauma localization. OBJECTIVE: The objective of this study is (1) to provide epidemiological information on hand injuries and their patterns and (2) to visualise the frequencies of affected areas of the hand in relation to the most common trauma mechanisms using color-coded heatmaps. METHODS: This prospective single-center observational trial conducted at a surgical emergency department in Germany collected data of hand trauma patients using a standardized documentation form. Demographic data, trauma-related data, diagnostic and therapeutic measures were analyzed. Color-coded heatmaps were generated marking anatomic danger zones. RESULTS: 435 patients with a mean age of 39.5 were included. Most patients admitted on their own initiative (79%). Leisure and sport injuries were most frequent (75%). Digiti II-V were injured most commonly (43%), followed by metacarpals (19%) and the thumb (14%). Blunt trauma and cuts accounted for most injuries (74%). Hand-graphics depicted color-coded frequencies of the affected areas of the palmar and dorsal aspect of the hand for the most common types of injury, as well as the most frequent circumstances of accident. Elective surgery was recommended in 25% of cases, and hand surgical follow-up was proposed in over 50% of cases. CONCLUSIONS: The dorsal aspect of the hand including the 5th metacarpal, the radial wrist and thenar region, as well as the fingertips of Digiti II/III represent anatomic danger zones to injury of the hand. Due to the large variety of potentially injured structures, diagnosis and treatment is not trivial. Specific training is required for all surgical specialties in emergency care, to increase quality of diagnostic work-up and management of hand injuries.

Review of the establishment of trauma network of Ghana (TRANET): one-year review and implementation experience in a lower middle-income country.

INTRODUCTION: Globally, injuries account for about 5 million deaths every year out of which 90% occur in low- and middle-income countries. Injuries, particularly trauma, place a lifelong burden on affected individuals, families and society. In Ghana and most African countries particularly in sub-Saharan Africa, there is no effective surveillance system or registry of trauma. Where they exist, they are often poorly developed and incomplete. OBJECTIVE: The study was set out to document long bone fracture injuries which will be used for research, education, policy and public health prevention programmes as well as documenting the experience in setting up trauma registries in a LMIC. METHODS: The study is being conducted at the four Teaching Hospitals in Ghana which are situated in Cape Coast, Kumasi, Accra and Tamale. Persons of any age (from birth) who reports to any of the sentinel sites with an incident of trauma to long bones are eligible for recruitment into the surveillance data collection. Data were captured using the Research Electronic Data Capture (REDCap), cleaned and exported to Stata for analysis. RESULTS: Cumulatively, the sites had enrolled 3493 cases at one year of implementation. A total of 678 (19.41%) paediatric and 2815 (80.59%) adult cases were recorded over the period. In the establishment of the TRANET, we identified challenges in the planning, during data collection, data entry, follow-ups, support from local health authorities, and administrative issues. Quality improvement interventions were put in place, and it resulted in improved data quality. CONCLUSION: The established trauma registry of Ghana is assuring as it offers a timely, accurate, and comprehensive data source which will be useful for continuous monitoring of trauma care in Ghana. This first-year review information/findings will serve as a relevant information for stakeholders working to strengthen the health system.

Use of a trauma registry to drive improvement in the regional trauma network systems in Hawassa, Ethiopia.

AIM: Our aim is to establish and analyse the first year of trauma registry data from Hawassa University Comprehensive Specialised Hospital (HUCSH)-an Ethiopian tertiary referral centre. We plan to identify possible trends in injury patterns, access to health care and referral pathways and establish if our observations are in keeping with data published from other sub-Saharan LMIC's. METHODS: Prospective data collection using the WHO trauma registry dataset. All trauma patients presenting to HUCSH between November 2019 and November 2020 were included. Military patients were excluded. DATASET: Age, sex, region of residence, mode of transport to hospital, referral centre, time from injury to arrival in HUCSH, arrival triage category, Kampala Trauma Score (KTS), mechanism of injury, injury type, closed/open fracture and 24 h outcomes. Data statistical analysis was performed to calculate frequencies of the above variables. RESULTS: There were a total of 1919 cases. Fifty-three per cent were caused by road traffic collision and 49% were fracture/dislocations. Public transport was the most common mode to hospital-40%. Seventy-seven per cent of all trauma admissions were referred from other centres, 69% had a mild KTS. A total of 376 patients presented with an open fracture-76% had a low KTS and 67% remained in ED for > 24 h. Sixty-five per cent of ambulances were utilised for mild KTS patients, only 25% of ambulances transported moderate and severe injuries. CONCLUSION: We have shown that a 'one size fits all approach' should not be adopted for LMIC's as trends vary between regions and countries. Improvements are needed in ambulance utilisation, the use of appropriate triaging tools to facilitate initial basic trauma care and appropriate, timely referrals and the management of open fractures.

The Effects of COVID-19 Pandemic on Trauma Registry and Performance Improvement Operations and Workforce Nationwide: A Survey of Trauma Center Association of America Members.

BACKGROUND: Trauma Centers integrate Trauma Registrars and Performance Improvement Nurses to drive quality care. Delays in their duties could have negative impacts on outcomes and performance. We aim to investigate the impact of COVID-19 pandemic on Trauma Center operations by assessing performance of trauma registry and performance improvement processes across the United States. METHODS: A cross-sectional study was performed utilizing data from two anonymous questionnaires distributed to Trauma Center Association of America members. Descriptive statistics, Fisher's Exact Test, and multivariable logistic regression were performed with statistical significance defined as P < 0.05. RESULTS: Of 90.2% (83) of Trauma Registrars and 85.9% (67) of Performance Improvement personnel reported that their Trauma Centers have treated COVID-19 patients. Among trauma registrars, respondents did not significantly differ in the current status of completing registry cases (P> 0.05), during COVID-19 compared to prior (P> 0.05), or adjusted odds of COVID-19 delaying completion of entries (P> 0.05). Having >2 Performance Improvement Nurses was significantly associated with improved performance during the COVID-19 pandemic (P= 0.03) whereas working at a Trauma Center which treats adults-only or mixed patient population (adult and pediatric) was associated with being 1-3 months behind in closing of performance improvement cases (P= 0.02). CONCLUSIONS: The negative impact of COVID-19 on Trauma Registrars and Performance Improvement Nurses has been minimal. Adequate staffing/experience seem to mitigate delays and decreased performance. Implementation of expanded staffing, improved training, and evidenced-based revision of Trauma Center logistics may help mitigate future disruptions relating to COVID-19 and allow Trauma Centers to recover and improve their operations.

Mortality and Risk Factors in Isolated Traumatic Brain Injury Patients: A Prospective Cohort Study.

INTRODUCTION: Outcomes in patients with isolated traumatic brain injury (iTBI) have not been evaluated comprehensively in low-income and middle-income countries. We aimed to study the in-hospital iTBI mortality and its associated risk factors in a prospective multicenter Indian trauma registry. METHODS: Patients with iTBI (head and neck Abbreviated Injury Score ≥2 and other region Abbreviated Injury Score ≤2) were included. Study variables comprised age, gender, mechanism of injury, systolic blood pressure (SBP) at arrival, Glasgow Coma Scale (GCS) score - classified as mild (13-15), moderate (9-12), and severe (3-8), transfer status, and time to presentation at any participating hospital. A multivariable logistic regression was performed to assess the impact of these factors on 24-h and 30-d mortality following iTBI. RESULTS: Among 5042 included patients, 24-h and 30-d in-hospital mortalities were 5.9% and 22.4%. On a regression analysis, 30-d mortality was associated with age ≥45 y (odds ratio [OR] = 2.1 [1.6-2.7]), railway injury mechanisms (OR = 2.1 [1.3-3.5]), SBP <90 mmHg (OR = 2.6 [1.6-4.1]), and moderate (OR = 3.8 [3.0-5.0]) to severe (OR = 21.1 [16.8-26.7]) iTBI based on GCS scores. 24-h mortality showed similar trends. Patients transferred to the participating hospitals from other centers had higher odds of 30-d mortality (OR = 1.4 [1.2-1.8]) compared to those arriving directly. Those who received neurosurgical intervention had lower odds of 24-h mortality (0.3 [0.2-0.4]). CONCLUSIONS: Age ≥45 y, GCS score ≤12, and SBP <90 mmHg at arrival increased the risk of in-hospital mortality from iTBI.

Survival after traumatic cardiac arrest is possible-a comparison of German patient-registries.

BACKGROUND: Out-of-hospital cardiac arrest (OHCA) due to trauma is rare, and survival in this group is infrequent. Over the last decades, several new procedures have been implemented to increase survival, and a "Special circumstances chapter" was included in the European Resuscitation Council (ERC) guidelines in 2015. This article analysed outcomes after traumatic cardiac arrest in Germany using data from the German Resuscitation Registry (GRR) and the TraumaRegister DGU® (TR-DGU) of the German Trauma Society.  METHODS: In this study, data from patients with OHCA between 01.01.2014 and 31.12.2019 secondary to major trauma and where cardiopulmonary resuscitation (CPR) was started were eligible for inclusion. Endpoints were return of spontaneous circulation (ROSC), hospital admission with ROSC and survival to hospital discharge. RESULTS: 1.049 patients were eligible for inclusion. ROSC was achieved in 28.7% of the patients, 240 patients (22.9%) were admitted to hospital with ROSC and 147 (14.0%) with ongoing CPR. 643 (67.8%) patients were declared dead on scene. Of all patients resuscitated after traumatic OHCA, 27.3% (259) died in hospital. The overall mortality was 95.0% and 5.0% survived to hospital discharge (47). In a multivariate logistic regression analysis; age, sex, injury severity score (ISS), head injury, found in cardiac arrest, shock on admission, blood transfusion, CPR in emergency room (ER), emergency surgery and initial electrocardiogram (ECG), were independent predictors of mortality. CONCLUSION: Traumatic cardiac arrest was an infrequent event with low overall survival. The mortality has remained unchanged over the last decades in Germany. Additional efforts are necessary to identify reversible cardiac arrest causes and provide targeted trauma resuscitation on scene. TRIAL REGISTRATION: DRKS, DRKS-ID DRKS00027944. Retrospectively registered 03/02/2022.

Is prehospital intubation of severely injured children in accordance with guidelines?

BACKGROUND: The current German S3 guideline for polytrauma lists five criteria for prehospital intubation: apnea, severe traumatic brain injury (GCS ≤8), severe chest trauma with respiratory failure, hypoxia, and persistent hemodynamic instability. These guideline criteria, used in adults in daily practice, have not been previously studied in a collection of severely injured children. The aim of this study was to assess the extent to which the criteria are implemented in clinical practice using a multivariate risk analysis of severely injured children. METHODS: Data of 289,698 patients from the TraumaRegister DGU® were analyzed. Children meeting the following criteria were included: Maximum Abbreviated Injury Scale 3+, primary admission, German-speaking countries, years 2008-2017, and declaration of intubation. Since children show age-dependent deviating physiology, four age groups were defined (years old: 0-2; 3-6; 7-11; 12-15). An adult collective served as a control group (age: 20-50). After a descriptive analysis in the first step, factors leading to prehospital intubation in severely injured children were analyzed with a multivariate regression analysis. RESULTS: A total of 4489 children met the inclusion criteria. In this cohort, young children up to 2 years old had the significantly highest injury severity (Injury Severity Score: 21; p ≤ 0.001). Falls from both high (> 3 m) and low heights (< 3 m) were more common in children than in adults. The same finding applied to the occurrence of severe traumatic brain injury. When at least one intubation criterion was formally present, the group up to 6 years old was least likely to actually be intubated (61.4%; p ≤ 0.001). Multivariate regression analysis showed that Glasgow Coma Scale score ≤ 8 in particular had the greatest influence on intubation (odds ratio: 26.9; p ≤ 0.001). CONCLUSIONS: The data presented here show for the first time that the existing criteria in the guideline for prehospital intubation are applied in clinical practice (approximately 70% of cases), compared to adults, in the vast majority of injured children. Although severely injured children still represent a minority of all injured patients, future guidelines should focus more on them and address them in a specialized manner.

Improving Data Collection and Abstraction to Assess Health Equity in Trauma Care.

Current trauma registries suffer from inconsistent collection of data needed to assess health equity. To identify barriers/facilitators to collecting accurate equity-related data elements, we assessed perspectives of national stakeholders, Emergency Department (ED) registration, and Trauma Registry staff. We conducted a Delphi process with experts in trauma care systems and key informant interviews and focus groups with ED patient registration and trauma registry staff at a regional Level I trauma center. Topics included data collection process, barriers/facilitators for equity-related data collection, electronic health record (EHR) entry, trauma registry abstraction, and strategies to overcome technology limitations. Responses were qualitatively analyzed and triangulated with observations of ED and trauma registry staff workflow. Expert-identified barriers to consistent data collection included lack of staff investment in changes and lack of national standardization of data elements; facilitators were simplicity, quality improvement checks, and stakeholder investment in modifying existing technology to collect equity elements. ED staff reported experiences with patients reacting suspiciously to queries regarding race and ethnicity. Cultural resonance training, a script to explain equity data collection, and allowing patients to self-report sensitive items using technology were identified as potential facilitators. Trauma registry staff reported lack of discrete fields, and a preference for auto-populated and designated EHR fields. Identified barriers and facilitators of collection and abstraction of equity-related data elements from multiple stakeholders provides a framework for improving data collection. Successful implementation will require standardized definitions, staff training, use of existing technology for patient self-report, and discrete fields for added elements.

Microbiology of surgical site infection in closed upper limb fractures: Data from a prospective trauma registry.

The current study aims to determine the rate of surgical site infection, causal microorganism, and antibiotic sensitivity pattern in operated upper limb closed fractures at the Aga Khan University Hospital, Karachi. Cases presenting between June 2015 to October 2019, were selected from a single-centre, longitudinal, prospective orthopaedic trauma registry. Infection rate, causal microorganism, and antibiotic sensitivity pattern were determined up to six months after surgery. From among a total of 376 closed fractures, 12 encountered surgical site infection with some having late onset, giving an infection rate of 3% which is 1% higher than the international benchmark. Microorganism culture was performed on 5 (42%) patients out of which 2 (40%) were positive. Frequently used prophylactic antibiotics were first generation Cephalosporin and Co-amoxiclav in 9 (75%) patients, but all other patients required other antibiotic categories. Five patients required implant removal with antibiotic coverage. K-wire insertion required prolonged antibiotic treatment. Most of the cultures were negative in spite of the presence of infection.

Current Management of Hip Fracture.

This Special Issue, entitled "Current Management of Hip Fracture", ran in the Medicina journal of MDPI's "Surgery" section, reports the findings of international studies regarding different aspects in the treatment of patients suffering a proximal femur fracture [...].

Management of severe trauma worldwide: implementation of trauma systems in emerging countries: China, Russia and South Africa.

As emerging countries, China, Russia, and South Africa are establishing and/or improving their trauma systems. China has recently established a trauma system named "the Chinese Regional Trauma Care System" and covered over 200 million populations. It includes paramedic-staffed pre-hospital care, in-hospital care in certified trauma centers, trauma registry, quality assurance, continuous improvement and ongoing coverage of the entire Chinese territory. The Russian trauma system was formed in the first decade of the twenty-first century. Pre-hospital care is region-based, with a regional coordination center that determines which team will go to the scene and the nearest hospital where the victim should be transported. Physician-staffed ambulances are organized according to three levels of trauma severity corresponding to three levels of trauma centers where in-hospital care is managed by a trauma team. No national trauma registry exists in Russia. Improvements to the Russian trauma system have been scheduled. There is no unified trauma system in South Africa, and trauma care is organized by public and private emergency medical service in each province. During the pre-hospital care, paramedics provide basic or advanced life support services and transport the patients to the nearest hospital because of the limited number of trauma centers. In-hospital care is inclusive with a limited number of accredited trauma centers. In-hospital care is managed by emergency medicine with multidisciplinary care by the various specialties. There is no national trauma registry in South Africa. The South African trauma system is facing multiple challenges. An increase in financial support, training for primary emergency trauma care, and coordination of private sector, need to be planned.

Accuracy and reliability of injury coding in the national Dutch Trauma Registry.

OBJECTIVE: Injury coding is well known for lack of completeness and accuracy. The objective of this study was to perform a nationwide assessment of accuracy and reliability on Abbreviated Injury Scale (AIS) coding by Dutch Trauma Registry (DTR) coders and to determine the effect on Injury Severity Score (ISS). Additionally, the coders' characteristics were surveyed. METHODS: Three fictional trauma cases were presented to all Dutch trauma coders in a nationwide survey (response rate 69%). The coders were asked to extract and code the cases' injuries according to the AIS manual (version 2005, update 2008). Reference standard was set by three highly experienced coders. Summary statistics were used to describe the registered AIS codes and ISS distribution. The primary outcome measures were accuracy of injury coding and inter-rater agreement on AIS codes. Secondary outcome measures were characteristics of coders: profession, work setting, experience in injury coding and training level in injury coding. RESULTS: The total number of different AIS codes used to describe 14 separate injuries in the three cases was 89. Mean accuracy per AIS code was 42.2% (range 2.4-92.7%). Mean accuracy on number of AIS codes was 23%. Overall inter-rater agreement per AIS code was 49.1% (range 2.4-92.7%). The number of assigned AIS codes varied between 0 and 18 per injury. Twenty-seven percentage of injuries were overlooked. ISS was correctly scored in 42.4%. In 31.7%, the AIS coding of the two more complex cases led to incorrect classification of the patient as ISS < 16 or ISS ≥ 16. Half (47%) of the coders had no (para)medical degree, 26% were working in level I trauma centers, 37% had less than 2 years of experience and 40% had no training in AIS coding. CONCLUSIONS: Accuracy of and inter-rater agreement on AIS injury scoring by DTR coders is limited. This may in part be due to the heterogeneous backgrounds and training levels of the coders. As a result of the inconsistent coding, the number of major trauma patients in the DTR may be over- or underestimated. Conclusions based on DTR data should therefore be drawn with caution.

Severe Chest Injury Revisited - An Analysis of The Jos University Teaching Hospital Trauma Registry.

BACKGROUND: Chest injury remains a major source of morbidity and mortality in trauma as approximately two-thirds of all severe traumas involve the chest. OBJECTIVE: To determine the changes in the profile management and outcome of severe chest injury in Jos University Teaching Hospital, Jos, Nigeria. MATERIALS AND METHODS: This is an analysis of the Trauma Registry of Jos University Teaching Hospital-a prospectively gathered database. Patients' entries with severe chest injuries for 7 years, from January 2012 to December 2018, were entered into a database and analyzed using the Epi Info Statistical Software, using simple statistics. RESULTS: In all, 162 patients presented with severe chest injury over a 7-year period, of whom 78 (48.1%) had polytrauma, while 84 (51.9%) had isolated chest injury. There were 139 males and 23 females, giving male: female ratio of 6:1. Over 95 (58.6%) of them were between 20 and 39 years. Blunt injury was predominant, constituting 66.7%. Motor vehicular crash was the most common mechanism of injury constituting 87 (53.7%), while gunshot injuries were responsible for 34 (21%). In managing these severe chest injuries, 146 (90%) of the patients had closed-chest tube thoracostomy as the definitive treatment, while 16 (9.9%) had thoracotomy. The mean and median duration of hospital stay was 13.3 and 10 days, respectively. The commonest complication was wound infection in 8 (4.9%) patients and a mortality of 5.9%. CONCLUSION: Blunt chest injury remains the commonest mechanism of chest injury but with an increasing proportion of penetrating injuries affecting predominantly young males. Most severe chest injury patients survive with simple interventions of resuscitation, and closed-chest tube thoracostomy for definitive treatment.

Comparison of revised Functional Capacity Index scores with Abbreviated Injury Scale 2008 scores in predicting 12-month severe trauma outcomes.

INTRODUCTION: Anatomical injury as measured by the AIS often accounts for only a small proportion of variability in outcomes after injury. The predictive Functional Capacity Index (FCI) appended to the 2008 AIS claims to provide a widely available method of predicting 12-month function following injury. OBJECTIVES: To determine the extent to which AIS-based and FCI-based scoring is able to add to a simple predictive model of 12-month function following severe injury. METHODS: Adult trauma patients were drawn from the population-based Victorian State Trauma Registry. Major trauma and severely injured orthopaedic trauma patients were followed up via telephone interview including Glasgow Outcome Scale-Extended, the EQ-5D-3L and return to work status. A battery of AIS-based and FCI-based scores, and a simple count of AIS-coded injuries were added in turn to a base model using age and gender. RESULTS: A total of 20 813 patients survived to 12 months and had at least one functional outcome recorded, representing 85% follow-up. Predictions using the base model varied substantially across outcome measures. Irrespective of the method used to classify the severity of injury, adding injury severity to the model significantly, but only slightly improved model fit. Across the outcomes evaluated, no method of injury severity assessment consistently outperformed any other. CONCLUSIONS: Anatomical injury is a predictor of trauma outcome. However, injury severity as described by the FCI does not consistently improve discrimination, or even provide the best discrimination compared with AIS-based severity scores or a simple injury count.