Evaluation of emergency department admissions of mass casualty patients using the revised trauma score, injury severity score, and trauma and injury severity score.

BACKGROUND: There is a need for studies evaluating prognostic scoring systems in mass trauma patients in conflict regions to predict patient prognosis for emergency surgical prioritization. In this study, we aimed to evaluate scoring systems such as the Revised Trauma Score (RTS), Injury Severity Score (ISS), and Trauma and Injury Severity Score (TRISS) in trauma patients admitted due to mass trauma in Northern Syria. METHODS: This study was a retrospective evaluation of patients admitted due to mass trauma to the emergency departments of hospitals in Northern Syria. The diagnostic efficiency of RTS, ISS, and TRISS scoring systems was evaluated in these admissions in the first half of 2021. RESULTS: The most common causes of mass trauma were bomb blast (67.3%), gunshot (28.8%), and 14 (3.9%) patients admitted with other causes. When the odds ratio (OR) was analyzed, a one-unit increase in the RTS score increased the odds of survival by a factor of 6.133, and a one-unit increase in the TRISS score increased the odds of survival by a factor of 1.057. Differently, it was found that each 1-unit increase in ISS decreased the patient's probability of survival by 0.856 units. When RTS, TRISS, and ISS scores were analyzed, the area under the ROC curve was statistically significant for all of them (p<0.001) and all of them had a diagnostic value for mortality with sensitivities of 99.0%, 94.8%, and 91.9%; specificities of 87.8%, 90.5%, and 88.6; AUC of 0.958, 0.975, and 0.958, respectively. CONCLUSION: The use of trauma scoring systems, especially TRISS, may be useful for prioritizing patients in mass casualty settings in the presence of overcapacity.

Validation of Air Medical Prehospital Triage Score in Determining Resource Utilization at Level 1 Trauma Centers.

OBJECTIVE: Overtriage (ie, delivering less severely injured patients via helicopter) is costly, raises safety concerns, and reduces efficiency of the trauma system. The Air Medical Prehospital Triage (AMPT) scoring system was developed to determine which trauma patients would gain a survival benefit by air transport. The objective of this study was to evaluate the AMPT scoring system as a method of reducing trauma overtriage when helicopter emergency medical services were used. METHODS: A retrospective study of all scene trauma transports delivered by helicopter to 1 of 2 level 1 trauma centers was evaluated for 1) hospital stay less than 1 day and 2) failure to meet 1 of the following criteria for resource utilization: intensive care unit admission, an operative procedure within the first 24 hours, the need for blood products, Injury Severity Score ≥ 16, or death during hospitalization. Helicopter emergency medical services personnel recorded specific criteria from the Centers for Disease Control and Prevention (CDC) field trauma triage guidelines and AMPT that were met by transported trauma patients. RESULTS: There were 244 patients in the study population. Eighty-one (33.2%) patients were discharged within 24 hours; 11 (13.5%) of these patients were positive using AMPT scoring, whereas 44 (54.3%) patients met 1 of the CDC criteria. Similarly, 141 (57.8%) patients failed to meet 1 of the level 1 resource criteria; 19 (13.5%) met the AMPT criteria for air medical transport, whereas 84 (59.6%) met 1 of the CDC criteria. Undertriage was 63.5% for AMPT and 20.2% for CDC based on resource utilization criteria. CONCLUSION: The AMPT score reduced the number of patients who were inappropriately transported to a trauma center. However, this appeared to be at the expense of undertriage. Future studies should focus on developing a refined air medical-specific triage tool that has both low overtriage rates as well as lower undertriage rates.

Traumatismo anorrectal contuso. Reporte de un caso y revisión bibliográfica / Blunt anorectal trauma. Case reportand literature review

Introducción: El traumatismo anorrectal es una causa poco frecuente de consulta al servicio de emergencias, con una incidencia del 1 al 3%. A menudo está asociado a lesiones potencialmente mortales, por esta razón, es fundamental conocer los principios de diagnóstico y tratamiento, así como los protocolos de atención inicial de los pacientes politraumatizados. Método: Reportamos el caso de un paciente masculino de 47 años con trauma anorrectal contuso con compromiso del esfínter anal interno y externo, tratado con reparación primaria del complejo esfinteriano con técnica de overlapping, rafia de la mucosa, submucosa y muscular del recto. A los 12 meses presenta buena evolución sin incontinencia anal. Conclusión: El tratamiento del trauma rectal, basado en el dogma de las 4 D (desbridamiento, derivación fecal, drenaje presacro, lavado distal) fue exitoso. La técnica de overlapping para la lesión esfinteriana fue simple y efectiva para la reconstrucción anatómica y funcional. (AU)

Introduction: Anorectal trauma is a rare cause of consultation to the Emergency Department, with an incidence of 1 to 3%. It is often associated with life-threatening injuries, so it is essential to know the principles of diagnosis and treatment, as well as the initial care protocols for the polytrau-matized patient. Methods: We present the case of a 47-year-old man with a blunt anorectal trauma involving the internal and external anal sphincter, treated with primary overlapping repair of the sphincter complex and suturing of the rectal wall. At 12 months the patient presents good outcome, without anal incontinence. Conclusion: The treatment of rectal trauma, based on the 4 D ́s dogma (debridement, fecal diversion, presacral drainage, distal rectal washout lavage) was successful. Repair of the overlapping sphincter injury was simple and effective for anatomical and functional reconstruction. (AU)

Database Integration Correlates Street Crossing Design Strategies With Pedestrian Injury.

INTRODUCTION: Transportation databases have limited data regarding injury severity of pedestrian versus automobile patients. To identify opportunities to reduce injury severity, transportation and trauma databases were integrated to examine the differences in pedestrian injury severity at street crossings that were signalized crossings (SCs) versus nonsignalized crossings (NSCs). It was hypothesized that trauma database integration would enhance safety analysis and pedestrians struck at NSC would have greater injury severity. METHODS: Single-center retrospective review of all pedestrian versus automobile patients treated at a level 1 trauma center from 2014 to 2018 was performed. Patients were matched to the transportation database by name, gender, and crash date. Google Earth Pro satellite imagery was used to identify SC versus NSC. Injury severity of pedestrians struck at SC was compared to NSC. RESULTS: A total of 512 patients were matched (median age = 41 y [Q1 = 26, Q3 = 55], 74% male). Pedestrians struck at SC (n = 206) had a lower injury severity score (ISS) (median = 9 [4, 14] versus 17 [9, 26], P < 0.001), hospital length of stay (median = 3 [0, 7] versus 6 [1, 15] days, P < 0.001), and mortality (21 [10%] versus 52 [17%], P = 0.04), as compared to those struck at NSC (n = 306). The transportation database had a sensitivity of 63.4% (55.8%-70.4%) and specificity of 63.4% (57.7%-68.9%) for classifying severe injuries (ISS >15). CONCLUSIONS: Pedestrians struck at SC were correlated with a lower ISS and mortality compared to those at NSC. Linkage with the trauma database could increase the transportation database's accuracy of injury severity assessment for nonfatal injuries. Database integration can be used for evidence-based action plans to reduce pedestrian morbidity, such as increasing the number of SC.

[Consistency of injury severity score in severe trauma patients].

OBJECTIVE: To determine the accuracy of injury severity score (ISS)in the assessment of patients with severe trauma by the consistency analysis of the patients'ISS with severe trauma scored by three clinicians, and to guide the allocation of medical resource. METHODS: Through retrospective analysis of 100 patients with serious or severe trauma admitted to Peking University People's Hospital since September 2020 to December 2021 (ISS≥16 points), we conducted a consistency analysis of ISS within different evaluators. The general information (gender, age), vital signs, physical examination, imaging, laboratory examination and other associated data of the patients after admission were retrospectively diagnosed by 3 clinicians specializing in trauma surgery and ISS was determined. SPSS 22.0 software was used for statistical analysis, descriptive reports were made on the observed values of each set of data, and Fleiss kappa test was used for consistency analysis of the credibility of the ISS within three clinicians. RESULTS: Through the consistency analysis of the ISS in 100 patients with severe trauma scored by 3 eva-luators, the total Fleiss kappa value was 0.581, and the overall consistency was medium. Consistency analysis of the different scores was conducted according to the calculation rules of ISS. Among the patients with single-site severe trauma, abbreviated injury scale (AIS) was 4 or 5 points, ISS was 16 or 25 points, and Fleiss kappa value was 0.756 and 0.712 within the three evaluators, showing a relatively high consistency. AIS of each part was more than 4 points, and total ISS was more than 41 points in the severe trauma patients, Fleiss kappa values are higher than 0.8 within the 3 evaluators, showing a high consistency. CONCLUSION: According to the consistency analysis of severe trauma patients ISS within the three evaluators, when the severe trauma patients with ISS≥16 points are treated or transported, there is a certain accuracy error when the score is used for inter-department communication or inter-hospital transportation, and the consistency of different evaluators for the same injury is moderate. It may lead to misjudgment of the severity of trauma and misallocation of medical resources. However, for trauma patients with single or multiple site AIS≥4 points, ISS is highly consistent among different evaluators, which can accurately indicate the severity of the patient's condition.

Body Mass Index Does Not Predict Injury Pattern or Outcome After Motorcycle Crash.

INTRODUCTION: The obesity epidemic plagues the United States, affecting approximately 42% of the population. The relationship of obesity with injury severity and outcomes has been poorly studied among motorcycle collisions (MCC). This study aimed to compare injury severity, mortality, injury regions, and hospital and intensive care unit length of stay (LOS) between obese and normal-weight MCC patients. METHODS: Trauma registries from three Pennsylvania Level 1 trauma centers were queried for adult MCC patients (January 1, 2016, and December 31, 2020). Obesity was defined as adult patients with body mass index ≥ 30 kg/m2 and normal weight was defined as body mass index < 30 kg/m2 but > 18.5 kg/m2. Demographics and injury characteristics including injury severity score (ISS), abbreviated injury score, mortality, transfusions and LOS were compared. P ≤ 0.05 was considered significant. RESULTS: One thousand one hundred sixty-four patients met the inclusion criteria: 40% obese (n = 463) and 60% nonobese (n = 701). Comparison of ISS demonstrated no statistically significant difference between obese and normal-weight patients with median ISS (interquartile range) 9 (5-14) versus 9 (5-14), respectively (P = 0.29). Obese patients were older with median age 45 (32-55) y versus 38 (26-54) y, respectively (P < 0.01). Comorbidities were equally distributed among both groups except for the incidence of hypertension (30 versus 13.8%, P < 0.01) and diabetes (11 versus 4.4%, P < 0.01). There was no statistically significant difference in Trauma Injury Severity Score or abbreviated injury score. Hospital LOS, intensive care unit LOS, and 30-day mortality among both groups were similar. CONCLUSIONS: Obese patients experiencing MCC had no differences in distribution of injury, mortality, or injury severity, mortality, injury regions, and hospital compared to normal-weight adults. Our study differs from current data that obese motorcycle drivers may have different injury characteristics and increased LOS.

The impact of referring hospital resources on interfacility overtriage: A population-based analysis.

BACKGROUND: Nearly half of patients transferred from non-trauma to trauma centres have minor injuries. The transfer of patients with minor injuries to trauma centres is not associated with any known patient benefit and represents an opportunity to reduce healthcare costs and improve patient experience. In this study, we evaluated the relationship between hospital resources and overtriage, with the objective of identifying targets for system-level intervention. METHODS: We conducted a population-based cohort study of adults, age ≥ 16, presenting with minor injuries to non-trauma centres in Ontario, Canada (2009-2020). The primary outcome was overtriage, defined as transfer to a trauma centre. Hierarchical logistic regression was used to evaluate the association between hospital resources and a patient's likelihood of being overtriaged, adjusting for case-mix. RESULTS: amongst 165,302 patients with minor injuries, 15,641 (9.5 %) were transferred to a trauma centre (overtriage). Presence of a CT scanner, surgical support, or intensive care unit had no impact on a patient's likelihood of overtriage. Relative to community hospitals, presentation to a teaching hospital was independently associated with greater odds of overtriage (OR 2.97, 95 % CI: 1.26-7.00). Accounting for case-mix and resources, the median difference in a patient's odds of overtriage varied 3.7-fold across non-trauma centres (MOR 3.76). CONCLUSIONS: There is significant variability in overtriage across non-trauma centres, even after adjusting for case-mix and hospital resources. These finding suggests that some centres have developed processes to minimize overtriage independent of available resources. Broad implementation of these processes may represent an opportunity for system-wide quality improvement.

Prehospital Validation of the Assessment of Blood Consumption (ABC) Score.

INTRODUCTION: The Assessment of Blood Consumption (ABC) score is a previously validated scoring system designed to predict which severely injured trauma patients will require massive transfusion. When the ABC score is used in the prehospital setting to activate massive transfusion at the receiving hospital, a 23% decrease in mortality has been demonstrated. However, the ABC score was developed and validated using hospital data from the emergency department (ED). The sensitivity and specificity of the ABC score when calculated using data from the prehospital setting are unknown. We hypothesized that the sensitivity and specificity of the prehospital ABC score will be similar to the sensitivity and specificity of the ED ABC score. METHODS: A 5-year retrospective analysis (2015-2019) of highest-activation adult trauma patients arriving to a quaternary Level I trauma center by hospital-based helicopter air medical service (HEMS) was performed. Demographic, prehospital, ED triage, and blood product utilization data were collected. Prehospital ABC score was calculated using the highest heart rate, lowest systolic blood pressure, and focused assessment with sonography for trauma (FAST) exam results obtained prior to arrival at the trauma center. ED ABC score was calculated using ED triage vital signs and ED FAST results. Sensitivity, specificity, positive predictive value, negative predictive value, and the area under the receiver operating characteristics (AUROC) curve were calculated for each ABC score. RESULTS: 2,067 patients met inclusion criteria. Mean age 39 (±17) years, 76% male, 22% penetrating mechanism. Of these, 128 patients (6%) received massive transfusion using the definition from the original study. Prehospital ABC score at a cutoff of 2 was 51% sensitive and 85% specific for predicting massive transfusion, with 83% correctly classified and an AUROC = 0.73. ED ABC score at the same cutoff was 60% sensitive and 84% specific, with 83% correctly classified and an AUROC = 0.81. By logistic regression, the odds of massive transfusion increased by 2.76 for every 1-point increase in prehospital ABC score (95%CI 2.25-3.37, p < 0.001). CONCLUSIONS: The ABC score is a useful prehospital tool for identifying who will require massive transfusion. Future studies to evaluate the effect of the prehospital ABC score on clinical care and mortality are necessary.

Cribari, does it apply in real time? An analysis of a community level 1 trauma center.

BACKGROUND: Major Trauma Code 1 (TC1) activations require significant resources to provide immediate treatment to potentially unstable, critically ill, patients. The Cribari Matrix Method (CMM) and Need For Trauma Intervention (NFTI) are two ways to determine over and undertriage in trauma. We studied the overtriage rate at a community level 1 trauma center using these two methods to determine the efficacy of the triage criteria in TC1 activations. METHOD: A retrospective review of all patients in the trauma registry of a level 1 American College of Surgeons trauma program from May to October 2021 was performed. Overtriage rates were determined using CMM and NFTI criteria. RESULTS: The overtriage rate of 552 activations using CMM alone was 73%. CMM combined with NFTI resulted in a 56% overtriage rate. CONCLUSION: The Cribari method can be used to determine the effectiveness of a system's trauma code 1 criteria but cannot delineate which criteria should be reviewed.

Group B or not group B? An association between ABO, early mortality, and organ dysfunction in major trauma patients with shock.

BACKGROUND: ABO blood group alters coagulation profiles in the general population and may influence outcomes after trauma. The relationship between trauma-induced coagulopathy, severe injury with hemorrhagic shock, and survival with respect to ABO group is unknown. OBJECTIVES: In severe hemorrhagic trauma, we aimed to characterize the association of ABO group with admission coagulation profiles, mortality, and immune-mediated complications. METHODS: Clinical and laboratory variables were examined from severely injured adult patients enrolled in a perpetual observational cohort study at a UK Major Trauma Center. Univariate and multivariate analyses were performed to determine differences in clinical outcomes (mortality, organ dysfunction, and critical care support). In a shock subgroup, we performed an exploratory analysis of rotational thromboelastometry parameters and coagulation biomarkers. RESULTS: In 1119 trauma patients, we found no difference in mortality between ABO groups. In patients with shock, 24-hour mortality was significantly lower in group B vs non-B groups (7% vs 16%, adjusted odds ratio [aOR], 0.19; P = .030), but there were increased rates of invasive ventilation (aOR, 3.34; P = .033), renal replacement therapy (aOR, 2.55; P = .037), and a trend for infection (aOR, 1.85; P = .067). Comparing patients with shock, group B vs non-B patients had 40% higher fibrinogen, 65% higher factor (F) VIII, 36% higher FIX, 20% higher FXIII, and 19% higher von Willebrand factor. CONCLUSION: In this observational study limited by single time-point sampling and subgroup analysis of trauma hemorrhage with shock, group B patients have enhanced hemostatic capability associated with early survival but with increased risk of immune-mediated complications.

Accuracy of the American College of Surgeons Minimum Criteria for Full Trauma Team Activation for Children.

OBJECTIVE: Pediatric trauma centers use reports from emergency medical service providers to determine if a trauma team should be sent to the emergency department to prepare to care for the patient. Little scientific evidence supports the current American College of Surgeons (ACS) indicators for trauma team activation. The objective of this study was to determine the accuracy of the ACS Minimum Criteria for Full Trauma Team Activation for children as well as the accuracy of the modified criteria used at the local sites for trauma activation. METHODS: Emergency medical service providers who transported an injured child aged 15 years or younger to a pediatric trauma center in 1 of 3 cities were interviewed after emergency department arrival. Emergency medical service providers were asked if each of the activation indicators were present based on their evaluation. The need for full trauma team activation was determined through a medical record review using a published criterion standard definition. Undertriage and overtriage rates and positive likelihood ratios (+LRs) were calculated. RESULTS: Emergency medical service provider interviews were conducted and outcome data were obtained for 9483 children. There were 202 (2.1%) cases that met the criterion standard for need for trauma team activation. Based on the ACS Minimum Criteria, 299 (3.0%) cases should have received a trauma activation. The ACS Minimum Criteria undertriaged 44.1% and overtriaged 20% (+LR, 27.9; 95% confidence interval, 23.1-33.7). Based on the actual activation status using the local criteria, 238 cases received a full trauma activation, 45% were undertriaged, and 1.4% were overtriaged (+LR, 40.1; 95% confidence interval, 32.4-49.7). There was 97% agreement between the ACS Minimum Criteria and the actual local activation status at the receiving institution. CONCLUSIONS: The ACS Minimum Criteria for Full Trauma Team Activation for children have a high rate of undertriage. Changes that individual institutions have made to improve the accuracy of activations at their institutions seem to have had a limited effect on decreasing undertriage.

Internal and external validation of an updated ICD-10-CA to AIS-2005 update 2008 algorithm.

BACKGROUND: Administrative data are a powerful tool for population-level trauma research but lack the trauma-specific diagnostic and injury severity codes needed for risk-adjusted comparative analyses. The objective of this study was to validate an algorithm to derive Abbreviated Injury Scale (AIS-2005 update 2008) severity scores from Canadian International Classification of Diseases (ICD-10-CA) diagnostic codes in administrative data. METHODS: This was a retrospective cohort study using data from the 2009 to 2017 Ontario Trauma Registry for the internal validation of the algorithm. This registry includes all patients treated at a trauma center who sustained a moderate or severe injury or were assessed by a trauma team. It contains both ICD-10-CA codes and injury scores assigned by expert abstractors. We used Cohen's kappa (𝜅) coefficient to compare AIS-2005 Update 2008 scores assigned by expert abstractors to those derived using the algorithm and the intraclass correlation coefficient to compare assigned and derived Injury Severity Scores. Sensitivity and specificity for detection of a severe injury (AIS score, ≥ 3) were then calculated. For the external validation of the algorithm, we used administration data to identify adults who either died in an emergency department or were admitted to hospital in Ontario secondary to a traumatic injury (2009-2017). Logistic regression was used to evaluate the discriminative ability and calibration of the algorithm. RESULTS: Of 41,869 patients in the Ontario Trauma Registry, 41,793 (99.8%) had at least one diagnosis matched to the algorithm. Evaluation of AIS scores assigned by expert abstractors and those derived using the algorithm demonstrated a high degree of agreement in identification of patients with at least one severe injury (𝜅 = 0.75; 95% confidence interval [CI], 0.74-0.76). Likewise, algorithm-derived scores had a strong ability to rule in or out injury with AIS ≥ 3 (specificity, 78.5%; 95% CI, 77.7-79.4; sensitivity, 95.1; 95% CI, 94.8-95.3). There was strong correlation between expert abstractor-assigned and crosswalk-derived Injury Severity Score (intraclass correlation coefficient, 0.80; 95% CI, 0.80-0.81). Among the 130,542 patients identified using administrative data, the algorithm retained its discriminative properties. CONCLUSION: Our ICD-10-CA to AIS-2005 update 2008 algorithm produces reliable estimates of injury severity and retains its discriminative properties with administrative data. Our findings suggest that this algorithm can be used for risk adjustment of injury outcomes when using population-based administrative data. LEVEL OF EVIDENCE: Diagnostic Tests/Criteria; Level II.

Outcomes of Injured Patients Before and After the Institution of a Third-Tier Activation at a Level 1 Trauma Center.

BACKGROUND: We hypothesized that the addition of a third-level trauma activation would improve outcomes by formalizing an evaluation process for patients in need of urgent evaluation who did not meet the criteria for full or partial trauma alert activation. METHODS: Admission records for all trauma patients admitted between 2000 and 2021 were obtained. The gamma alert trauma activation was implemented in 2011. A washout period of 6 months was used to account for adjustment to the new protocol. Propensity score matching was performed based on ISS scores, age, injury mechanism, and best-validated comorbidities to create a balanced patient distribution. Patients with missing data were excluded from this study. The association between era and outcomes was determined using logistic and linear regression analyses. RESULTS: The matched cohort was well balanced (SMD <.1, all balanced covariates) and included 18,572 patients. Patients in the gamma alert era had decreased ED dwell time, hospital length of stay, and intensive care unit (ICU) length of stay. Readmission rates and rates of upgrade to ICU status were reduced in the gamma alert era. This era was also associated with lower rates of renal failure, UTI, and pneumonia. There was no significant difference in mortality following implementation of the gamma alert. DISCUSSION: Implementation of the gamma alert was associated with an improvement in ED dwell times, fewer unplanned admissions to the ICU, decreased readmissions, and a reduction in other in-hospital events. We believe that this reflects improved triage of patients to the ICU and more effective care of trauma patients.

Association between blood pressure recording in prehospital setting and patient outcome in pediatric trauma patients: A propensity score matching study.

BACKGROUND: Rapid identification of the severity of injuries in the field is important to ensure appropriate hospital care for better outcomes. Vital signs are used as a field triage tool for critically ill or injured patients in prehospital settings. Several studies have shown that recording vital signs, especially blood pressure, in pediatric patients is sometimes omitted in prehospital settings compared with that in adults. However, little is known about the association between the lack of measurement of prehospital vital signs and patient outcomes. In this study, we examined the association between the rate of vital sign measurements in the field and patient outcomes in injured children. METHODS: This study analyzed secondary data from the Japan Trauma Data Bank. We included pediatric patients (0-17 years) with injuries who were transported by emergency medical services. Hospital survival was the primary outcome. We performed a propensity-matched analysis with nearest-neighbor matching without replacement by adjusting for demographic and clinical variables to evaluate the effect of recording vital signs. RESULTS: During the study period, 13,413 pediatric patients were included. There were 9,187 and 1,798 patients with and without prehospital blood pressure records, respectively. After matching, there were no differences in the patient characteristics or disease severity. Hospital mortality was significantly higher in the nonrecorded group than in the recorded group (4.3% vs. 1.1%; p < 0.001). The multiple logistic regression analysis results showed no prehospital record of blood pressure being associated with death (odds ratio [OR], 6.82; 95% confidence interval [CI], 2.40-19.33). Glasgow Coma Scale score and Injury Severity Score were also associated with death (OR, 0.71; 95% CI, 0.63-0.81 and OR, 1.10; 95% CI, 1.06-11.14, respectively). CONCLUSION: Pediatric patients without any blood pressure records in prehospital settings had higher mortality rates than those with prehospital blood pressure records. LEVEL OF EVIDENCE: Therapeutic/Care Management; Level III.

Can cardiovascular reserve index (CVRI) on arrival to the trauma unit detects massive hemorrhage and predicts developing hemorrhage? observational prospective cohort study.

BACKGROUND: The detection of haemorrhage in trauma casualties may be delayed owing to compensatory mechanisms. This study aimed to evaluate whether the cardiovascular reserve index (CVRI) on arrival detects massive haemorrhage and predicts haemorrhage development in trauma casualties. METHODS: This was an observational prospective cohort study of adult casualties (≥18 years) who were brought to a single level-1 trauma centre, enroled upon arrival and followed until discharge. Vital signs were monitored on arrival, from which the CVRI and shock index were retrospectively calculated (blinded to the caregivers). The outcome measure was the eventual haemorrhage classification group: massive haemorrhage on arrival (MHOA) (defined by massive transfusion on arrival of ≥6 [O+] packed cells units), developing haemorrhage (DH) (defined by a decrease in haemoglobin >1 g/dl in consecutive tests), and no significant haemorrhage noted throughout the hospital stay. The means of each variable on arrival by haemorrhage group were evaluated using the analysis of variance. The authors evaluated the detection of MHOA in the entire population and the prediction of DH in the remainders (given that MHOA had already been detected and treated) by C-statistic predefined strong prediction by area under the curve (AUC) greater than or equal to 0.8, P less than or equal to 0.05. RESULTS: The study included 71 patients (after exclusion): males, 82%; average age 37.7 years. The leading cause of injuries was road accident (61%). Thirty-nine (54%) patients required hospital admission; distribution by haemorrhage classification: 5 (7%) MHOA, 5 (7%) DH, and 61 (86%) no significant haemorrhage. Detection of MHOA found a strong predictive model by CVRI and most variables (AUC 0.85-1.0). The prediction of DH on arrival showed that only lactate (AUC=0.88) and CVRI (0.82) showed strong predictive model. CONCLUSIONS: CVRI showed a strong predictive model for detection of MHOA (AUC>0.8) as were most other variables. CVRI also showed a strong predictive model for detection of DH (AUC=0.82), only serum lactate predicted DH (AUC=0.88), while all other variables were not found predictive. CVRI has advantages over lactate in that it is feasible in pre-hospital and mass casualty settings. Moreover, its repeatability enables detection of deteriorating trend. The authors conclude that CVRI may be a useful additional tool in the evaluation of haemorrhage.

[Importance of biopsy in the diagnostic assessment of chronic wounds-position paper of the Initiative Chronische Wunden (ICW) e. V.] / Stellenwert der Biopsie in der Diagnostik chronischer Wunden ­ ein Positionspapier der Initiative Chronische Wunden (ICW) e. V.

Diagnostic assessment of chronic wounds is essential for the initiation of causal therapeutic treatment. For diagnostic classification of the wound genesis, it may be necessary to take a tissue sample for histological and/or microbiological processing. If there is clinical suspicion of a specific cause of the wound such as a neoplasm, an inflammatory dermatosis or a pathogen-induced wound, a tissue sample for further diagnosis is required immediately. If the ulceration does not respond sufficiently to adequate causal therapy, a tissue sample for further evaluation is recommended after 12 weeks. The choice of the correct sampling technique, further storage, transport and processing are just as decisive for a reliable result as the specific question for the diagnostic laboratory.

Characterizing re-triage guidelines: A scoping review of states' rules and regulations.

BACKGROUND: State guidelines for re-triage, or emergency inter-facility transfer, have never been characterized across the United States. METHODS: All 50 states' Department of Health and/or Trauma System websites were reviewed for publicly available re-triage guidelines within their rules and regulations. Communication was made via phone or email to state agencies or trauma advisory committees to obtain or confirm the absence of guidelines where public data was unavailable. Guideline criteria were abstracted and grouped into domains of Center for Disease Control Field Triage Criteria: pattern/anatomy of injury, vital signs, special populations, and mechanisms of injury. Re-triage criteria were summarized across states using median and interquartile ranges for continuous data and frequencies for categorical data. Demographic data of states with and without re-triage guidelines were compared using the Wilcoxon rank sum test. RESULTS: Re-triage guidelines were identified for 22 of 50 states (44%). Common anatomy of injury criteria included head trauma (91% of states with guidelines), spinal cord injury (82%), chest injury (77%), and pelvic injury (73%). Common vital signs criteria included Glasgow Coma Score (91% of states) ranging from 8 to 14, systolic blood pressure (36%) ranging from 90 to 100 mm Hg, and respiratory rate (23%) with all using 10 respirations/minute. Common special populations criteria included mechanical ventilation (73% of states), age (68%) ranging from <2 or >60 years, cardiac disease (59%), and pregnancy (55%). No significant demographic differences were found between states with versus without re-triage guidelines. CONCLUSION: A minority of US states have re-triage guidelines. Characterizing existing criteria can inform future guideline development.

National analysis of over and under-triage rates in relation to trauma population risk factors and associated outcomes across various levels trauma centers.

INTRODUCTION: Over and under-triage represent a misallocation of resources that can affect patient outcomes. The purpose of this study is to evaluate over and under-triage rates in relation to risk factors and associated outcomes of trauma patients nationwide. METHODS: A retrospective cohort study using the Trauma Quality Improvement Program from 2017 to 2020. Multivariable regression models were used to assess predictors of over-triage (activation when unnecessary) and under-triage (limited activation when full activation was necessary). RESULTS: 22.2 % (32,782) of the study population were over-triaged and 20.3 % (29,996) were under-triaged. Most over-triaged patients were Black, with Medicaid, or had a penetrating injury, whereas most under-triaged patients were White, with private/commercial insurance, or had a blunt injury. With covariates adjusted for, Pacific Islander (p = 0.024) and American Indian patients (p = 0.015) were associated with higher odds of over-triage, and Hispanic patients had higher odds of under-triage (p<0.001). Patients with Medicare (p<0.001) had higher odds of over-triage, and patients with private/commercial insurance (p<0.001) had higher odds of under-triage compared to Medicaid patients. Patients in level II (p<0.001) and level III (p<0.001) trauma hospitals were associated with higher odds of over-triage. CONCLUSION: Pacific Islander and American Indian patients, Medicare, and level II and III trauma centers are at increased risk of over-triage rates, while Hispanic and privately insured trauma patients had a higher risk for under-triage. Future studies should further investigate factors contributing to poor outcomes linked to under-triage practices and methods to improve consistency and standardization of triage tools across various levels of trauma centers.