The predictive value of the Kampala Trauma Score (KTS) in the outcome of multi-traumatic patients compared to the estimated Injury Severity Score (eISS).

PURPOSE: The classification of trauma patients in emergency settings is a constant challenge for physicians. However, the Injury Severity Score (ISS) is widely used in developed countries, it may be difficult to perform it in low- and middle-income countries (LMIC). As a result, the ISS was calculated using an estimated methodology that has been described and validated in a high-income country previously. In addition, a simple scoring tool called the Kampala Trauma Score (KTS) was developed recently. The aim of this study was to compare the diagnostic accuracy of KTS and estimated ISS (eISS) in order to achieve a valid and efficient scoring system in our resource-limited setting. METHODS: We conducted a cross-sectional study between December 2020 and March 2021 among the multi-trauma patients who presented at the emergency department of Imam Reza hospital, Tabriz, Iran. After obtaining informed consent, all data including age, sex, mechanism of injury, GCS, KTS, eISS, final outcome (including death, morbidity, or discharge), and length of hospital stay were collected and entered into SPSS version 27.0 and analyzed. RESULTS: 381 multi-trauma patients participated in the study. The area under the curve for prediction of mortality (AUC) for KTS was 0.923 (95%CI: 0.888-0.958) and for eISS was 0.910 (95% CI: 0.877-0.944). For the mortality, comparing the AUCs by the Delong test, the difference between areas was not statistically significant (p value = 0.356). The diagnostic odds ratio (DOR) for the prediction of mortality KTS and eISS were 28.27 and 32.00, respectively. CONCLUSION: In our study population, the KTS has similar accuracy in predicting the mortality of multi-trauma patients compared to the eISS.

Automated stratification of trauma injury severity across multiple body regions using multi-modal, multi-class machine learning models.

OBJECTIVE: The timely stratification of trauma injury severity can enhance the quality of trauma care but it requires intense manual annotation from certified trauma coders. The objective of this study is to develop machine learning models for the stratification of trauma injury severity across various body regions using clinical text and structured electronic health records (EHRs) data. MATERIALS AND METHODS: Our study utilized clinical documents and structured EHR variables linked with the trauma registry data to create 2 machine learning models with different approaches to representing text. The first one fuses concept unique identifiers (CUIs) extracted from free text with structured EHR variables, while the second one integrates free text with structured EHR variables. Temporal validation was undertaken to ensure the models' temporal generalizability. Additionally, analyses to assess the variable importance were conducted. RESULTS: Both models demonstrated impressive performance in categorizing leg injuries, achieving high accuracy with macro-F1 scores of over 0.8. Additionally, they showed considerable accuracy, with macro-F1 scores exceeding or near 0.7, in assessing injuries in the areas of the chest and head. We showed in our variable importance analysis that the most important features in the model have strong face validity in determining clinically relevant trauma injuries. DISCUSSION: The CUI-based model achieves comparable performance, if not higher, compared to the free-text-based model, with reduced complexity. Furthermore, integrating structured EHR data improves performance, particularly when the text modalities are insufficiently indicative. CONCLUSIONS: Our multi-modal, multiclass models can provide accurate stratification of trauma injury severity and clinically relevant interpretations.

Comparison of nine trauma scoring systems in prediction of inhospital outcomes of pediatric trauma patients: a multicenter study.

Hereby, we aimed to comprehensively compare different scoring systems for pediatric trauma and their ability to predict in-hospital mortality and intensive care unit (ICU) admission. The current registry-based multicenter study encompassed a comprehensive dataset of 6709 pediatric trauma patients aged ≤ 18 years from July 2016 to September 2023. To ascertain the predictive efficacy of the scoring systems, the area under the receiver operating characteristic curve (AUC) was calculated. A total of 720 individuals (10.7%) required admission to the ICU. The mortality rate was 1.1% (n = 72). The most predictive scoring system for in-hospital mortality was the adjusted trauma and injury severity score (aTRISS) (AUC = 0.982), followed by trauma and injury severity score (TRISS) (AUC = 0.980), new trauma and injury severity score (NTRISS) (AUC = 0.972), Glasgow coma scale (GCS) (AUC = 0.9546), revised trauma score (RTS) (AUC = 0.944), pre-hospital index (PHI) (AUC = 0.936), injury severity score (ISS) (AUC = 0.901), new injury severity score (NISS) (AUC = 0.900), and abbreviated injury scale (AIS) (AUC = 0.734). Given the predictive performance of the scoring systems for ICU admission, NTRISS had the highest predictive performance (AUC = 0.837), followed by aTRISS (AUC = 0.836), TRISS (AUC = 0.823), ISS (AUC = 0.807), NISS (AUC = 0.805), GCS (AUC = 0.735), RTS (AUC = 0.698), PHI (AUC = 0.662), and AIS (AUC = 0.651). In the present study, we concluded the superiority of the TRISS and its two derived counterparts, aTRISS and NTRISS, compared to other scoring systems, to efficiently discerning individuals who possess a heightened susceptibility to unfavorable consequences. The significance of these findings underscores the necessity of incorporating these metrics into the realm of clinical practice.

Use of Reverse Shock Index Multiplied by Simplified Motor Score in a Five-Level Triage System: Identifying Trauma in Adult Patients at a High Risk of Mortality.

Background and Objectives: The Taiwan Triage and Acuity Scale (TTAS) is reliable for triaging patients in emergency departments in Taiwan; however, most triage decisions are still based on chief complaints. The reverse-shock index (SI) multiplied by the simplified motor score (rSI-sMS) is a more comprehensive approach to triage that combines the SI and a modified consciousness assessment. We investigated the combination of the TTAS and rSI-sMS for triage compared with either parameter alone as well as the SI and modified SI. Materials and Methods: We analyzed 13,144 patients with trauma from the Taipei Tzu Chi Trauma Database. We investigated the prioritization performance of the TTAS, rSI-sMS, and their combination. A subgroup analysis was performed to evaluate the trends in all clinical outcomes for different rSI-sMS values. The sensitivity and specificity of rSI-sMS were investigated at a cutoff value of 4 (based on previous study and the highest score of the Youden Index) in predicting injury severity clinical outcomes under the TTAS system were also investigated. Results: Compared with patients in triage level III, those in triage levels I and II had higher odds ratios for major injury (as indicated by revised trauma score < 7 and injury severity score [ISS] ≥ 16), intensive care unit (ICU) admission, prolonged ICU stay (≥14 days), prolonged hospital stay (≥30 days), and mortality. In all three triage levels, the rSI-sMS < 4 group had severe injury and worse outcomes than the rSI-sMS ≥ 4 group. The TTAS and rSI-sMS had higher area under the receiver operating characteristic curves (AUROCs) for mortality, ICU admission, prolonged ICU stay, and prolonged hospital stay than the SI and modified SI. The combination of the TTAS and rSI-sMS had the highest AUROC for all clinical outcomes. The prediction performance of rSI-sMS < 4 for major injury (ISS ≥ 16) exhibited 81.49% specificity in triage levels I and II and 87.6% specificity in triage level III. The specificity for mortality was 79.2% in triage levels I and II and 87.4% in triage level III. Conclusions: The combination of rSI-sMS and the TTAS yielded superior prioritization performance to TTAS alone. The integration of rSI-sMS and TTAS effectively enhances the efficiency and accuracy of identifying trauma patients at a high risk of mortality.

Utilizing ultra-early continuous physiologic data to develop automated measures of clinical severity in a traumatic brain injury population.

Determination of prognosis in the triage process after traumatic brain injury (TBI) is difficult to achieve. Current severity measures like the Trauma and injury severity score (TRISS) and revised trauma score (RTS) rely on additional information from the Glasgow Coma Scale (GCS) and the Injury Severity Score (ISS) which may be inaccurate or delayed, limiting their usefulness in the rapid triage setting. We hypothesized that machine learning based estimations of GCS and ISS obtained through modeling of continuous vital sign features could be used to rapidly derive an automated RTS and TRISS. We derived variables from electrocardiograms (ECG), photoplethysmography (PPG), and blood pressure using continuous data obtained in the first 15 min of admission to build machine learning models of GCS and ISS (ML-GCS and ML-ISS). We compared the TRISS and RTS using ML-ISS and ML-GCS and its value using the actual ISS and GCS in predicting in-hospital mortality. Models were tested in TBI with systemic injury (head abbreviated injury scale (AIS) ≥ 1), and isolated TBI (head AIS ≥ 1 and other AIS ≤ 1). The area under the receiver operating characteristic curve (AUROC) was used to evaluate model performance. A total of 21,077 cases (2009-2015) were in the training set. 6057 cases from 2016 to 2017 were used for testing, with 472 (7.8%) severe TBI (GCS 3-8), 223 (3.7%) moderate TBI (GCS 9-12), and 5913 (88.5%) mild TBI (GCS 13-15). In the TBI with systemic injury group, ML-TRISS had similar AUROC (0.963) to TRISS (0.965) in predicting mortality. ML-RTS had AUROC (0.823) and RTS had AUROC 0.928. In the isolated TBI group, ML-TRISS had AUROC 0.977, and TRISS had AUROC 0.983. ML-RTS had AUROC 0.790 and RTS had AUROC 0.957. Estimation of ISS and GCS from machine learning based modeling of vital sign features can be utilized to provide accurate assessments of the RTS and TRISS in a population of TBI patients. Automation of these scores could be utilized to enhance triage and resource allocation during the ultra-early phase of resuscitation.

An investigation of heterogeneous impact, temporal stability, and aggregate shift in factors affecting the driver injury severity in single-vehicle rollover crashes.

Single-vehicle rollover crashes have been acknowledged as a predominant highway crash type resulting in serious casualties. To investigate the heterogeneous impact of factors determining different injury severity levels in single-vehicle rollover crashes, the random parameters logit model with unobserved heterogeneity in means and variances was employed in this paper. A five-year dataset on single-vehicle rollover crashes, gathered in California from January 1, 2013, to December 31, 2017, was utilized. Driver injury severities that were determined to be outcome variables include no injury, minor injury, and severe injury. Characteristics pertaining to the crash, driver, temporal, vehicle, roadway, and environment were acknowledged as potential determinants. The results showed that the gender indicator specified to minor injury was consistently identified as a significant random parameter in four years' models and the joint five-year model, excluding the 2016 crash model where the night indicator associated with no injury was observed to produce the random effect. Additionally, two series of likelihood ratio tests were conducted to assess the year-to-year and aggregate-to-component temporal stability of model estimation results. Marginal effects of explanatory variables were also calculated and compared to analyze the temporal stability and interpret the results. The findings revealed an overall temporal instability of model specifications across individual years, while there is no significant aggregate-to-component variation. Injury severities were observed to be stably affected by several variables, including improper turn indicator, under the influence of alcohol indicator, old driver indicator, seatbelt indicator, insurance indicator, and airbag indicator. Furthermore, the year-to-year and aggregate-to-component shift was quantified and characterized by calculating the differences in probabilities between within-sample observations and out-of-sample predictions. The overall results imply that continuing to expand and refine the model to incorporate more comprehensive datasets can result in more robust and stable injury severity prediction, thus benefiting in mitigating the associated driver injury severity.

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.

Fall-related ocular trauma in patients over 90 years in tertiary ophthalmic center in Germany: 90-TOSG Report 1.

PURPOSE: To investigate the clinical characteristics of fall-related ocular trauma in patients over 90 years of age. METHODS: Retrospective, medical record reviews. Patients over the age of 90 years treated in a tertiary center with fall-related ocular trauma were included in the study. RESULTS: Fifty consecutive patients (fifty eyes) were analyzed. The mean age was 93.6 ± 1.8 years and 41 patients (82%) were female. The most common site of the injuries was orbital fracture (18 patients, 36%), accompanied with open globe rupture (OGR) in three patients, and globe contusion in two patients. Seventeen patients (34%) presented with OGR. Ocular trauma score in those patients was category 1 in 10 patients (58.8%) and category 2 in the others. Conjunctival hemorrhage and/or periocular contusion was seen in 14 patients (28%) and globe contusion in six patients (12%). At the presentation, the mean best corrected visual acuity (BCVA) was 2.82 ± 0.24 logMAR in patients with OGR and 1.98 ± 0.81 logMAR in six patients with globe contusion. Three of the patients with OGR had a final vision of 20/200 or better whereas the remaining patients had hand movements or less. The most common risk factors were female gender (82%) and use of antihypertensive drugs (46%). CONCLUSION: Patients with OGR had a poor visual outcome despite the early treatment. It is important to raise public awareness about of the poor prognosis of ocular injuries due to falls in the elderly population in order to establish preventive measures.

Evaluation of the predictive effects of trauma scoring systems in colorectal injuries.

INTRODUCTION: Colorectal injuries following traumas are significant causes of morbidity and mortality. This study aimed to evaluate the predictive effect of trauma scoring systems on mortality and morbidity in patients with post-traumatic colon injury. METHODS: The records of 145 patients with colon trauma treated at Seyhan State Hospital between January 1, 2010, and January 1, 2020, were retrospectively analyzed. Injury Seriousness Score (ISS), Revised Trauma Score (RTS), Trauma Injury Severity Score (TRISS), and Colon Injury Score (CIS) scores were calculated for all patients. The predictive effects of scoring systems on primary outcomes of surgical treatment, complication rates, mortality, and anastomotic leaks were evaluated. RESULTS: The mean age of the patients was 36.1 (SD ± 16.6), and the female/male ratio was 37/108. Anastomotic leakage occurred in 12 (8.2%) patients, and complications were observed in 57 (39.3%) patients. Seven (4.7%) patients died. A statistically significant relationship was observed between the increase in CIS and anastomotic leakage, morbidity, and mortality. Increases in ISS and decreases in RTS and TRISS were associated with increased morbidity and mortality, but these relationships were not statistically significant. CONCLUSION: A significant relationship was observed between the increase in CIS and anastomotic leakage, morbidity, and mortality. The study suggests the need for a specific scoring system for evaluating the prognostic status in colon traumas, as ISS, RTS, and TRISS scores were not found to be significantly predictive of outcomes in this patient population.

Reverse Shock Index multiplied by Glasgow Coma Scale score as a point-of-care severity assessment for initial trauma management: A nationwide cohort study.

BACKGROUND: Severe trauma patients often require emergent interventions, such as massive transfusion, resuscitative procedures, and surgical procedures, and consume considerable human and medical resources. However, few practical indices can be easily used for emergent interventions. In recent years, it has become clear that rSIG (Reverse Shock Index multiplied by Glasgow Coma Scale [GCS] score), which can be easily calculated from vital signs, is a promising predictor of mortality. However, it is unclear whether rSIG is useful for emergent interventions. METHODS: Data collected by the Japan Trauma Data Bank for adult patients admitted directly from the scene of trauma between April 2019 and December 2020 were analysed. The outcomes were massive transfusion, resuscitative procedures, surgical procedures and emergent interventions. Emergent interventions were defined as the composite outcome of massive transfusion, resuscitative procedures, and surgical procedures. The ability of rSIG to predict massive transfusion was compared with that of the ABC score and FASILA score by receiver-operating characteristic curve analysis. The ability of rSIG to predict resuscitative and surgical procedures was compared with that of the Shock Index (SI), GCS, Triage Revised Trauma score (T-RTS), and Previous Simple Prediction (PSP) score. The ability of rSIG to predict emergent interventions was compared with that of T-RTS, PSP, ABC, and FASILA. In addition to rSIG, rSIM (Reverse Shock Index multiplied by best motor response score) was also analysed as a supplement. RESULTS: The study included 32,201 patients, 6,371 of whom required emergent interventions. The area under the receiver-operating characteristic curve (AUROC) for massive transfusion was highest for rSIG (0.846 [95 % confidence interval 0.832-0.859]) and significantly higher for rSIG than for rSIM, ABC and FASILA (all p < 0.0001). AUROCs for resuscitative and surgical procedures were highest for rSIG (0.777 [0.769-0.785] and 0.731 [0.720-0.741], respectively) and significantly higher than those for rSIM, SI, GCS, T-RTS, and PSP (all p < 0.0001). The AUROC for emergent interventions was highest for rSIG (0.760 [0.753-0.768]) and significantly higher for rSIG than for rSIM, T-RTS, PSP, ABC, or FASILA (all p < 0.0001). CONCLUSIONS: rSIG is a simple and effective point-of-care predictor of emergent interventions during initial management of trauma.

Development and validation of a pediatric model predicting trauma-related mortality.

OBJECTIVES: To develop a prediction model of mortality in pediatric trauma-based injuries. Our secondary objective was to transform this model into a translational tool for clinical use. STUDY DESIGN: A retrospective cohort study of children ≤ 18 years was derived from the National Trauma Data Bank between the years of 2007 to 2015. The goal was to identify clinical or physiologic variables that would serve as predictors for pediatric death. Data was split into a development cohort (80%) to build the model and then tested in an internal validation cohort (20%) and a temporal cohort. The area under the receiver operating characteristic curve (AUC) was assessed for the new model. RESULTS: In 693,192 children, the mortality rate was 1.4% (n = 9,785). Most subjects were male (67%), White (65%), and incurred an unintentional injury (92%). The proposed model had an AUC of 96.4% (95% CI: 95.9%-96.9%). In contrast, the Injury Severity Score yielded an AUC of 92.9% (95% CI: 92.2%-93.6%), while the Revised Trauma Score resulted in an AUC of 95.0% (95% CI: 94.4%-95.6%). CONCLUSION: The TRAGIC + Model (Temperature, Race, Age, GCS, Injury Type, Cardiac-systolic blood pressure + Mechanism of Injury and Sex) is a new pediatric mortality prediction model that leverages variables easily obtained upon trauma admission.

Riesgo de hemorragia cerebral en el traumatismo craneal leve y tratamiento antitrombótico / Risk of cerebral hemorrhage in mild traumatic brain injury and antithrombotic treatment

Objetivo El tiempo de observación en el traumatismo craneoencefálico leve (TCEL) es controvertido. Nuestro objetivo se basó en evaluar el riesgo de complicaciones neurológicas en el TCEL con y sin tratamiento antitrombótico. Método Evaluamos retrospectivamente los pacientes con TCEL atendidos en urgencias durante 3 años. Consideramos TCEL aquellos con Glasgow ≥13 al ingreso. Se realizó una TC craneal en todos los casos con >1 factor de riesgo al ingreso y a las 24h en aquellos con deterioro neurológico o TC craneal inicial patológica. Se revisó retrospectivamente las complicaciones en los siguientes 3 meses. Resultados Evaluamos 907 pacientes con una edad media de 73±19 años. El 91% presentaron factores de riesgo, con un 60% en tratamiento antitrombótico. Detectamos un 11% de hemorragia cerebral inicial, 0,4% a las 24h y ningún caso a los 3 meses. El tratamiento antitrombótico no se asoció con incremento de riesgo de hemorragia cerebral (9,9 con vs. 11,9% sin tratamiento; p=0,3). El 39% de las hemorragias presentaron síntomas neurológicos (18% amnesia postraumática, 12% cefalea, 8% vómitos, 1% convulsiones), siendo en un 78,4% síntomas leves. De las 4 hemorragias detectadas a las 24h, 3 fueron asintomáticas y un caso emporó la cefalea inicial. Ningún paciente asintomático sin lesión en la TC craneal inicial presentó clínica a las 24h. Conclusiones Nuestro estudio sugiere que los pacientes con TCEL asintomáticos, sin lesión en la TC craneal inicial no precisarían periodo de observación ni TC craneal de control, independientemente del tratamiento antitrombótico o nivel de INR (AU)

Introduction The observation time in mild traumatic brain injury (mTBI) is controversial. Our aim was to assess the risk of neurological complications in mTBI with and without antithrombotic treatment. Method We retrospectively evaluated patients with mTBI seen in the emergency room for 3 years. We considered MTBI those with Glasgow ≥13 at admission. A cranial CT was performed in all cases with >1 risk factor at admission and at 24h in those with neurological impairment or initial pathological cranial CT. Complications in the following 3 months were retrospectively reviewed. Results We evaluated 907 patients with a mean age of 73±19 years. Ninety-one percent presented risk factors, with 60% on antithrombotic treatment. We detected 11% of initial brain hemorrhage, 0.4% at 24h, and no cases at 3 months. Antithrombotic treatment was not associated with an increased risk of brain hemorrhage (9.9% with vs. 11.9% without treatment, P=.3). 39% of the hemorrhages presented neurological symptoms (18% post-traumatic amnesia, 12% headache, 8% vomiting, 1% seizures), with 78.4% having mild symptoms. Of the 4 hemorrhages detected at 24h, 3 were asymptomatic and one case that worsened the initial headache. No asymptomatic patient without lesion on initial clinical cranial CT presented at 24h. Conclusions Our study suggests that patients with asymptomatic mTBI, without a lesion on the initial cranial CT, would not require the observation period or CT control regardless of antithrombotic treatment or INR level (AU)

Prognostic factors of open-globe injuries: A review.

Open-globe injuries (OGI) can lead to significant visual impairment. The Ocular Trauma Score (OTS) is the most widely recognized tool for predicting visual outcomes. This review aimed to identify prognostic factors and assess the effectiveness of the OTS in predicting visual outcomes. Twenty-one articles published on PubMed and Google Scholar were analyzed. Initial visual acuity and the zone of injury were found to be the most significant prognostic factors for OGI. Other significant prognostic factors include retinal detachment/involvement, relative afferent pupillary defect, vitreous hemorrhage, vitreous prolapse, type of injury, hyphema, lens involvement, and duration from incidence of OGI to vitrectomy. Of the 21 studies evaluated, 11 investigated the effectiveness of OTS. Four studies concluded that OTS was effective overall, while six studies suggested that it was only useful in certain OGI categories. Thus, there is a need for further research to develop an optimized ocular trauma prognosticating system.

Hiperfiltración glomerular en el paciente traumático grave / Glomerular hyperfiltration in patients with severe trauma

Antecedentes y objetivo El aclaramiento renal aumentado o hiperfiltración glomerular (HFG) puede afectar significativamente a los resultados clínicos de los fármacos eliminados por vía renal al promover la exposición subterapéutica al fármaco. La agresión sufrida en los pacientes que presentan trauma grave supone un predisponente a manifestar HFG y la identificación de estos pacientes sigue siendo un desafío clínico. El objetivo principal de este estudio fue describir la prevalencia de HFG en una cohorte de pacientes críticos traumatizados en la primera semana de ingreso. Materiales y métodos Estudio prospectivo observacional de una cohorte de pacientes adultos ingresados en la UCI de Anestesiología del Complejo Hospitalario Universitario de Albacete (España) tras sufrir un trauma grave o politraumatismo. Se calculó el aclaramiento de creatinina (ClCr) en muestra de recolección de orina 4h a las 24, 72 y 168h de ingreso aplicando la fórmula ClCr: [Diuresis en ml (orina/4h)×Creatinina en orina (mg/dl)]÷[240 (minutos)×Creatinina en plasma (mg/dl)]. Un CrCl por encima de 130ml/min fue considerado HFG. Los análisis se realizaron con el software estadístico R versión 4.0.4. Resultados Se incluyeron 85 pacientes. La edad mediana de los pacientes fue de 51 años (RIQ 26); 68 pacientes fueron varones (78,82%). El 75,29% de los pacientes fueron politraumatizados; 61 pacientes (71,76%) presentaron HFG en algún momento de la determinación del ClCr. A las 24h de ingreso el 56,34% de los pacientes presentaron HFG con ClCr medio de 195,8ml/min, el 61,11% de los pacientes lo presentaban a las 72h con ClCr medio de 186ml/min y el 56,52% presentaban HFG a las 168h de ingreso con ClCr medio de 207ml/min. Se encontró una relación positiva importante (p=0,07) entre la HFG manifestada a las 72h y a las 168h. Se observó relación estadísticamente significativa entre este fenómeno con edades más jóvenes, puntuaciones ISS más bajas y creatininas plasmáticas más bajas (AU)

Background and objective Augmented renal clearance or glomerular hyperfiltration (GHF) can significantly affect the clinical outcomes of renally eliminated drugs by promoting subtherapeutic drug exposure. The aggression suffered in patients who suffer severe trauma is a predisposition to manifest GHF and the identification of these patients remains a clinical challenge. The main objective of this study was to describe the prevalence of GHF in a cohort of critically ill trauma patients. Materials and methods Prospective observational study of a cohort of adult patients admitted after suffering severe trauma or polytrauma in the Anesthesiology ICU of the University Hospital of Albacete (Spain). Creatinine clearance (ClCr) was calculated in a 4-h urine collection sample at 24, 72 and 168h after admission applying the formula: CrCl: [diuresis in ml (urine/4h)×creatinine in urine (mg/dl)]÷[240 (min)×creatinine in plasma (mg/dl)]. A CrCl above 130ml/min was considered GHF. The analyzes were performed with the statistical software R version 4.0.4. Results Eighty-five patients were included. The median age of the patients was 51 years (IQR 26). Sixty-eight patients were male (78.82%). 75.29% of the patients were polytraumatized. Sixty-one patients (71.76%) presented GHF at some point in the CrCl determination. At 24h of admission, 56.34% of the patients presented GHF with a mean CrCl of 195.8ml/min, 61.11% of the patients presented it at 72h with a mean CrCl of 186ml/min and 56.52% presented GHF at 168h of admission with a mean CrCl of 207ml/min. A significant positive relationship (p=0.07) was found between GHF manifested at 72h and at 168h. We observed a statistically significant relationship between this phenomenon with younger ages, lower ISS scores and lower plasma creatinines (AU)

The relationship between computed tomography findings and ocular trauma and pediatric ocular trauma scores in pediatric globe injuries: Does imaging have prognostic and diagnostic value?

BACKGROUND: The aim of this study is to assess the relationship between computed tomography (CT) findings in open globe injuries (OGIs) in pediatric patients and the pediatric ocular trauma score (POTS) and OTS in pediatric ocular trauma. METHODS: In 34 pediatric patients with OGI, CT findings were categorized into nine main categories: Scleral irregularity, lens dislocation, abnormal vitreous density, choroid-retinal layer thickening, preseptal thickness increase, intraocular foreign body and air, vitreous hemorrhage, retinal detachment, and perforation. The relationship between different types and numbers of CT findings and the POTS and OTS was evaluated. RESULTS: The mean age of trauma was 6.6±3.1. Of the patients, 9 (26.5%) were female and 25 (73.5%) were male. The most com-mon CT findings are scleral irregularity and increased preseptal thickness (47.1%). In univariate analysis, a P<0.05 was found between 16 patients with 1 or less CT findings (median POTS value 80 [71.25-90.0]) and 11 patients with 2 or 3 CT findings (median POTS value 60 [15-70]). A P<0.05 was found between 16 patients with 1 or less CT findings (median POTS value 80 [71.25-90.0]) and 7 patients with 4 or more CT findings (median POTS value 45 [25-80]). A P > 0.05 was found between 11 patients with 2 or 3 CT findings (median POTS value 60 [15-70]) and 7 patients with 4 or more CT findings (median POTS value 45 [25-80]). No significant difference was found between the number of CT findings and OTS stages. While POTS was significant (P<0.05) in patients with ab-normal vitreous density (median 45 [30-69.6]), OTS value was not significant (P>0.05). There was no significant difference between POTS and OTS in other CT findings. CONCLUSION: The number of CT findings may assist in predicting POTS and, consequently, estimating visual prognosis in pediatric patients with OGI. In emergency situations where, sufficient clinical data are unavailable, the objective findings from CT may help in assessing the severity of ocular trauma and potentially predicting long-term visual outcomes.

Implantación de un equipo de asistencia al trauma grave. Análisis de la activación y tiempos de asistencia en pacientes ingresados en UCI / Implementation of a severe trauma assistance team: Analysis of activation and attendance times in patients admitted to the ICU

Objetivo Analizar los factores asociados a la activación del equipo de asistencia al trauma grave (EATG) en pacientes que ingresan en la Unidad de Cuidados Intensivos (UCI), medir su repercusión en los tiempos de asistencia, y analizar los grupos de pacientes según activación y nivel de afectación anatómica. Diseño Estudio de cohortes prospectivo del trauma grave que ingresan en UCI. Desde junio 2017 a mayo 2019. Factores de riesgo de la activación analizados con regresión logística y árbol de clasificación tipo CART. Ámbito UCI hospital de segundo nivel. Pacientes Pacientes ingresados de forma consecutiva. Intervenciones Ninguna. Variables de intereses principales Activación del EATG. Variables demográficas. Puntuación de la gravedad de la lesión (ISS), intencionalidad, mecanismo, tiempos de asistencia, complicaciones evolutivas y mortalidad. Resultados Ingresaron un total de 188 pacientes (46,8% de activación EATG), edad mediana de 52 (37-64) años (activados 47 (27-62) vs. no activados 55 (42-67) p = 0,023), varones 84,0%. No diferencias en la mortalidad según activación. El modelo logístico encuentra como factores: la atención (16,6 [2,1-13,2]) e intubación prehospitalaria (4,2 [1,8-9,8]) y, la lesión grave de extremidades inferiores (4,4 [1,6-12,3]). Padecer una caída accidental (0,2 [0,1-0,6]) hace menos probable la activación. El modelo CART selecciona el tipo de mecanismo del traumatismo y es capaz de separar los traumatismos de alta y baja energía. Conclusiones Los factores asociados con activación del ETAG fueron la atención prehospitalaria, requerir intubación previa, mecanismos de alta energía y lesiones graves de extremidades inferiores. Menores tiempos de asistencia si activación sin influir en la mortalidad. Debemos mejorar la activación en pacientes mayores con traumatismos de baja energía y sin atención prehospitalaria (AU)

Objective To analyse the factors associated with the activation of the severe trauma care team (STAT) in patients admitted to the ICU, to measure its impact on care times, and to analyse the groups of patients according to activation and level of anatomical involvement. Design Prospective cohort study of severe trauma admitted to the ICU. From June 2017 to May 2019. Risk factors for the activation of the STAT analysed with logistic regression and CART type classification tree. Setting Second level hospital ICU. Patients Patients admitted consecutively. Interventions No. Main variables of interest STAT activation, demographic variables, injury severity (ISS), intentionality, mechanism, assistance times, evolutionary complications, and mortality. Results A total of 188 patients were admitted (46.8% of STAT activation), median age of 52 (37–64) years (activated 47 (27–62) vs. not activated 55 (42–67), p = 0.023), males 84.0%. No difference in mortality according to activation. The logistic model finds as factors: care (16.6 (2.1–13.2)) and prehospital intubation (4.2 (1.8–9.8)) and severe lower extremity injury (4.4 (1.6–12.3)). Accidental fall (0.2 (0.1–0.6)) makes activation less likely. The CART model selects the type of trauma mechanism and can separate high and low energy trauma. Conclusions Factors associated with STAT activation were prehospital care, requiring prior intubation, high-energy mechanisms, and severe lower extremity injuries. Shorter care times if activated without influencing mortality. We must improve activation in older patients with low-energy trauma and without prehospital care (AU)

Orthodontic treatment in traumatized permanent teeth: a systematic review / Tratamento ortodôntico em dentes permanentes traumatizados: uma revisão sistemática

Objective: to analyze, through literature review, the available literature on orthodontic treatment in traumatized permanent teeth. Methods: A literature search was performed in electronic databases (PubMed and SciELO) using the descriptors [tooth injuries] OR [injuries, teeth] OR [injury, teeth] OR [teeth injury] OR [injuries, tooth] OR [injury, tooth] OR [tooth injury] OR [teeth injuries] AND [orthodontics]. Observational studies and clinical trials were included, narrative reviews, laboratory and in vitro studies, case reports and series as well as articles that presented abstracts written in languages other than Portuguese, English and Spanish were excluded from the study. Two reviewers considered the eligibility, the risk of bias of the analyzed data and the qualitative synthesis of the studies included. A total of 1,322 references were found and 4 articles met all inclusion criteria and were included in the qualitative analysis. Some consequences like pulp necrosis and root resorption have been highlighted and trauma severity should be considered when orthodontically intervening in previously traumatized teeth. Final considerations: The traumatized teeth can be orthodontically treated as long as the time of tissue reorganization is respected, and the pull and periodontal conditions are followed up.(AU)

Objetivos: analisar, por meio de revisão de literatura, a respeito do tratamento ortodôntico em dentes permanentes traumatizados. Metodologia: Uma pesquisa bibliográfica foi realizada em bancos de dados eletrônicos (PubMed e SciELO) usando os descritores [tooth injuries] ou [injuries, teeth] ou [injury, teeth] ou [teeth injury] ou [injuries, tooth] ou [injury, tooth] ou [tooth injury] ou [teeth injuries] e [orthodontics]. Foram incluídos estudos observacionais e ensaios clínicos, revisões narrativas, estudos laboratoriais e in vitro, relatos de casos e séries, bem como artigos que apresentassem resumos redigidos em idiomas diferentes do português, inglês e espanhol foram excluídos do estudo. Dois revisores consideraram a elegibilidade, o risco de viés dos dados analisados e a síntese qualitativa dos estudos incluídos. Foram encontradas 1.322 referências e 4 artigos atenderam a todos os critérios de inclusão e foram incluídos na análise qualitativa. Algumas consequências como necrose pulpar e reabsorção radicular têm sido destacadas e a gravidade do trauma deve ser considerada na intervenção ortodôntica em dentes previamente traumatizados. Considerações finais: Os estudos incluídos nesta revisão sugerem que dentes traumatizados podem ser tratados ortodônticamente desde que respeitado o tempo de reorganização tecidual e acompanhadas as condições pulpares e periodontais.(AU)

The Bidirectionality of Global Surgical Research: The Utility of the Malawi Trauma Score in the United States Trauma Population.

INTRODUCTION: Trauma scoring systems provide valuable risk stratification of injured patients. Trauma scoring systems developed in resource-limited settings, such as the Malawi Trauma Score (MTS), are based on readily available clinical information. This study sought to test the performance of the MTS in a United States trauma population. MATERIALS AND METHODS: We analyzed the United States National Trauma Data Bank during 2017-2020. MTS uses alertness score: alert, responds to verbal or painful stimuli, or unresponsive (AVPU), age, sex, presence of a radial pulse, and primary anatomic injury location. MTS and an age-adjusted version reflective of the US age distribution, was evaluated for its performance in predicting crude mortality in the National Trauma Data Bank using receiver operating characteristic analysis. We utilized logistic regression to model the odds ratio of death at a particular MTS cutoff. RESULTS: A total of 3,833,929 patients were included. The mean age was 49.3 y (sandard deviation 24.4), with a male preponderance (61.1%). Crude mortality was 3.4% (n = 131,452/3,833,929). The area under the curve for the MTS in predicting mortality was 0.87 (95% CI 0.87, 0.88). The area under the curve for a cutoff of 15 was 0.83 (95% CI 0.83, 0.83). An MTS of 15 higher had an odds ratio of death of 46.5 (95% CI 45.9, 47.1), compared to those with a score of 14 or lower. CONCLUSIONS: MTS has excellent performance as a predictor of mortality in a US trauma population. MTS is simple to calculate and can be estimated in the prehospital setting or the emergency department. Consequently, it may have utility as a triage tool in both high-income trauma systems and resource-limited settings.