Lethal injuries in single stabs to the trunk - A study on homicides and suicides in Sweden.

INTRODUCTION: Homicides using knives or other sharp objects are the most common type of homicide in Europe, and the second most common type of homicide worldwide. In contrast, suicides using sharp objects are rarer, constituting only a few per cent of all suicides in western countries. We investigated single stab injuries to the trunk in both homicides and suicides to assess differences in extent of injuries and in medical care, which could be of value for trauma management, public health and forensic assessment. METHODS: We identified all cases in Sweden between 2010 and 2021 that died of a single stab to the trunk, in either a homicide (n = 94) or a suicide (n = 45), and that were the subject of a forensic autopsy. We obtained data on demographics, hospital care and injured structures. To assess the severity of injuries, we applied AIS (Abbreviated Injury Score) and NISS (New Injury Severity Score). The inter-rater reliability of NISS between two raters was evaluated with intra-class correlation (ICC), with 95 % confidence intervals (CI). The data was analysed using Fisher's exact test, Mann-Whitney U test and logistic regression models. RESULTS: The inter-rater reliability between the two NISS raters showed an ICC of 0.87 (95 % CI 0.68-0.95). We observed a larger variation of injuries in suicides, with a higher proportion of both unsurvivable (NISS 75) and minor injuries (NISS ≤ 8) (66.7 % and 8.9 % respectively) compared to in homicides (46.8 % and 0 % respectively). We observed a larger proportion of injuries to the heart in suicides (68.9% vs. 46.8 %, p = 0.018). In homicides, injuries involving vessels (52.1% vs. 13.3 %, p < 0.001) and hospital care (56.4 % vs. 8.9 %, p < 0.001) were significantly more common compared to suicides. DISCUSSION AND CONCLUSION: Causation (self-inflicted or assaults) seems to be associated with characteristics of injury and the likelihood of receiving hospital care. These findings could potentially be valuable for trauma management and forensic assessment of manner of death, however, determining the mortality of the injuries would require a comparison group comprising injured survivors.

Investigating the Impact of Blunt Force Trauma: A Probabilistic Study of Behind Armor Blunt Trauma Risk.

Evaluating Behind Armor Blunt Trauma (BABT) is a critical step in preventing non-penetrating injuries in military personnel, which can result from the transfer of kinetic energy from projectiles impacting body armor. While the current NIJ Standard-0101.06 standard focuses on preventing excessive armor backface deformation, this standard does not account for the variability in impact location, thorax organ and tissue material properties, and injury thresholds in order to assess potential injury. To address this gap, Finite Element (FE) human body models (HBMs) have been employed to investigate variability in BABT impact conditions by recreating specific cases from survivor databases and generating injury risk curves. However, these deterministic analyses predominantly use models representing the 50th percentile male and do not investigate the uncertainty and variability inherent within the system, thus limiting the generalizability of investigating injury risk over a diverse military population. The DoD-funded I-PREDICT Future Naval Capability (FNC) introduces a probabilistic HBM, which considers uncertainty and variability in tissue material and failure properties, anthropometry, and external loading conditions. This study utilizes the I-PREDICT HBM for BABT simulations for three thoracic impact locations-liver, heart, and lower abdomen. A probabilistic analysis of tissue-level strains resulting from a BABT event is used to determine the probability of achieving a Military Combat Incapacitation Scale (MCIS) for organ-level injuries and the New Injury Severity Score (NISS) is employed for whole-body injury risk evaluations. Organ-level MCIS metrics show that impact at the heart can cause severe injuries to the heart and spleen, whereas impact to the liver can cause rib fractures and major lacerations in the liver. Impact at the lower abdomen can cause lacerations in the spleen. Simulation results indicate that, under current protection standards, the whole-body risk of injury varies between 6 and 98% based on impact location, with the impact at the heart being the most severe, followed by impact at the liver and the lower abdomen. These results suggest that the current body armor protection standards might result in severe injuries in specific locations, but no injuries in others.

Toward better measurement of traffic injuries - Comparison of anatomical injury measures in predicting the clinical outcomes in motorcycle crashes.

INTRODUCTION: Little evidence exists in the literature regarding the discrimination power of better anatomical injury measures in differentiating clinical outcomes in motorcycle crashes. Furthermore, multiple injuries to different body parts of the rider are seldom analyzed. This study focuses on comparing anatomical injury measures such as the injury severity score (ISS) and the new injury severity score (NISS) in capturing injuries of multiple injured riders and examining the discriminatory capabilities of the ISS and NISS in predicting clinical outcomes post motorcycle crash. METHODS: The study harnessed unique and comprehensive injury data on 322 riders from the US DOT Federal Highway Administration's Motorcycle Crash Causation Study (MCCS). Detailed exploratory analysis is performed and discrete/ordered statistical models are estimated for three clinical outcomes: mortality risk, trauma risk, and trauma status. RESULTS: Around 9% of the riders died and 45% of the riders had injuries. Around 36% of the riders were hospitalized, disabled, or institutionalized. While a very strong dependence was found between ISS and NISS, ISS underestimated injuries sustained by riders. Statistical models for mortality risk revealed that a unit increase in the ISS and NISS was correlated with a 1.18 and 1.17 times increase in the odds of mortality, respectively. Moreover, a unit increase in ISS and NISS values was correlated with a higher trauma risk by 1.48 and 1.36 times, respectively. Our analysis reveals that the probability of a rider being hospitalized or disabled/institutionalized increases with an increase in the NISS. Conclusions and practical applications: The NISS exhibits significantly better calibration and discriminatory ability in differentiating survivors and non-survivors and in predicting trauma status - underscoring the importance of accounting for microscopic body-part-level injury data in motorcycle crashes. We consider that compared with the KABCO scale, the ISS and NISS are more nuanced scores that can better measure the overall injury intensity and can lead to more targeted countermeasures.

Prediction of mortality in severely injured patients with facial bone fractures.

PURPOSE: Identify the most common concomitant injuries associated with facial trauma, and compare the efficacy of various scoring systems in estimation of mortality risks in this category of patients. METHODS: The study evaluated patients with facial and concomitant injuries, who received the multidisciplinary treatment in a specialized trauma hospital. Values of New Injury Severity Score, Glasgow Coma Scale, Facial Injury Severity Scale, age, and length of hospital stay were statistically analysed to determine presence of relationships between these indicators and define factors that significantly associated with lethal outcome. RESULTS: During 6-year observation period, 719 patients were treated with multiple or combined maxillofacial trauma, brain injuries and polytrauma. Mainly with isolated midface bones (49.7%), pan-facial (34.6%), mandible (12.9%), and frontal bone and walls (2.8%) fractures. Mortality was (2.2%). The mortality rates in patients with severe pan-facial fractures were higher (p = 0.008) than in single anatomical area (6% vs 1.5%). Age, GCS, and NISS were the most reliable indicator of lethal outcome. CONCLUSION: Age, Glasgow Coma Scale and New Injury Severity Score main factors, that predicts lethal outcome with high accuracy. New Injury Severity Score value ≥ 41 is a critical level for survival prognosis and should be considered in treatment planning and management of this category of patients.

Inflammatory cytokines associated with outcomes in orthopedic trauma patients independent of New Injury Severity score: A pilot prospective cohort study.

Traumatic injury is the leading cause of mortality in patients under 50. It is associated with a complex inflammatory response involving hormonal, immunologic, and metabolic mediators. The marked elevation of cytokines and inflammatory mediators subsequently correlates with the development of posttraumatic complications. The aim was to determine whether elevated cytokine levels provide a predictive value for orthopedic trauma patients. A prospective cohort study of patients with New Injury Severity Score (NISS) > 5 was undertaken. IL-6, IL-8, IL-10, and migration inhibitory factor levels were measured within 24-h of presentation. Demographic covariates and clinical outcomes were obtained from the medical records. Fifty-eight patients (83% male, 40 years) were included. Addition of IL-6 to baseline models significantly improved prediction of pulmonary complication (LR = 6.21, p = 0.01), ICU (change in R2 = 0.31, p < 0.01), and hospital length of stay (change in R2 = 0.16, p < 0.01). The addition of IL-8 significantly improved the prediction of acute kidney injury (LR = 9.15, p < 0.01). The addition of postinjury IL-6 level to baseline New Injury Severity Score model is better able to predict the occurrence of pulmonary complications as well as prolonged ICU and hospital length of stay.

Injury scoring systems for blast injuries: a narrative review.

Injury scoring systems can be used for triaging, predicting morbidity and mortality, and prognosis in mass casualty incidents. Recent conflicts and civilian incidents have highlighted the unique nature of blast injuries, exposing deficiencies in current scoring systems. Here, we classify and describe deficiencies with current systems used for blast injury. Although current scoring systems highlight survival trends for populations, there are several major limitations. The reliable prediction of mortality on an individual basis is inaccurate. Other limitations include the saturation effect (where scoring systems are unable to discriminate between high injury score individuals), the effect of the overall injury burden, lack of precision in discriminating between mechanisms of injury, and a lack of data underpinning scoring system coefficients. Other factors influence outcomes, including the level of healthcare and the delay between injury and presentation. We recommend that a new score incorporates the severity of injuries with the mechanism of blast injury. This may include refined or additional codes, severity scores, or both, being added to the Abbreviated Injury Scale for high-frequency, blast-specific injuries; weighting for body regions associated with a higher risk for death; and blast-specific trauma coefficients. Finally, the saturation effect (maximum value) should be removed, which would enable the classification of more severe constellations of injury. An early accurate assessment of blast injury may improve management of mass casualty incidents.

Predictors of mortality of trauma patients admitted to the ICU: a retrospective observational study☆.

BACKGROUND AND OBJECTIVES: Worldwide, trauma is one of the leading causes of morbidity and mortality. The aim of the present study is to identify the predictors of mortality of trauma patients requiring Intensive Care Unit (ICU) admission. METHODS: This retrospective study was conducted in the ICU of our institution in Greece during a six-year period (2010-215). RESULTS: Among 326 patients, trauma was caused by road traffic accidents in .5%, followed by falls (21.1%) and violence (7.4%). Thirty-day mortality was 27.3%. Multivariate analysis showed that higher New Injury Severity Score (NISS), severe head/neck injury, acute kidney injury, septic shock and hemorrhagic shock were significantly associated with mortality while higher Revised Injury Severity Classification, version II (RISC II) and the administration of enteral nutrition were associated with survival. NISS showed the higher accuracy in predicting 30-day mortality followed by RISC II, while scores based only in physiological variables had lower predictive ability. CONCLUSIONS: Increased mortality was strongly associated with the severity of the injury upon admission. Traumatic brain injury, septic shock and acute kidney injury have also been found among the strongest predictors of mortality. NISS can be considered as a statistically superior score in predicting mortality of severely injured patients.

New injury severity score (NISS) outperforms injury severity score (ISS) in the evaluation of severe blunt trauma patients.

PURPOSE: The injury severity score (ISS) and new injury severity score (NISS) have been widely used in trauma evaluation. However, which scoring system is better in trauma outcome prediction is still disputed. The purpose of this study is to evaluate the value of the two scoring systems in predicting trauma outcomes, including mortality, intensive care unit (ICU) admission and ICU length of stay. METHODS: The data were collected retrospectively from three hospitals in Zhejiang province, China. The comparisons of NISS and ISS in predicting outcomes were performed by using receiver operator characteristic (ROC) curves and Hosmer-Lemeshow statistics. RESULTS: A total of 1825 blunt trauma patients were enrolled in our study. Finally, 1243 patients were admitted to ICU, and 215 patients died before discharge. The ISS and NISS were equivalent in predicting mortality (area under ORC curve [AUC]: 0.886 vs. 0.887, p = 0.9113). But for the patients with ISS ≥25, NISS showed better performance in predicting mortality. NISS was also significantly better than ISS in predicting ICU admission and prolonged ICU length of stay. CONCLUSION: NISS outperforms ISS in predicting the outcomes for severe blunt trauma and can be an essential supplement of ISS. Considering the convenience of NISS in calculation, it is advantageous to promote NISS in China's primary hospitals.

Spectral analysis of heart rate variability for trauma outcome prediction: an analysis of 210 ICU multiple trauma patients.

PURPOSE: This study aimed to test and compare short-term spectral HRV indices with most used trauma scorings in outcome prediction of multiple trauma, and then to explore the efficacy of their combined application. METHODS: A prospective study was conducted for patients with blunt multiple trauma admitted to an emergency intensive care unit (ICU) between January 2016 and December 2017. Short-term spectral HRV indices on admission were measured, including normalized low-frequency power (nLF), normalized high-frequency power (nHF), and the nLF/nHF ratio. Injury severity score (ISS), new injury severity score (NISS), and revised trauma score (RTS) were evaluated for each patient, as well as probability of survival (Ps) by trauma and injury severity score (TRISS) model. The primary outcome was 30-day mortality and secondary outcomes were incidence of multiple organ dysfunction syndrome (MODS) and length of ICU stay. RESULTS: Two hundred and ten patients were recruited. The nLF/nHF ratio, RTS, and Ps(TRISS) were independent predictors of 30-day mortality, while nLF/nHF, NISS and RTS were independent predictors of MODS. The area under the receiver operating characteristic (ROC) curve (AUC) of nLF/nHF for 30-day mortality prediction was 0.924, comparable to RTS (0.951) and Ps(TRISS) (0.892). AUC of nLF/nHF-RTS combination was 0.979, significantly greater than that of each alone. Combination of nLF/nHF and Ps(TRISS) showed an increased AUC (0.984) compared to each of them. The nLF/nHF ratio presented a similar AUC (0.826) to NISS (0.818) or RTS (0.850) for MODS prediction. AUC of nLF/nHF-RTS combination was 0.884, significantly greater than that of nLF/nHF. Combination of nLF/nHF and NISS showed a greater AUC (0.868) than each alone. The nLF/nHF ratio, NISS, RTS, and Ps(TRISS) were correlated with length of ICU stay for survivors, with correlation coefficients 0.476, 0.617, - 0.588, and - 0.539. CONCLUSIONS: These findings suggest that the short-term spectral analysis of HRV might be a potential early tool to assess injury severity and predict outcome of multiple trauma. Combination of nLF/nHF and conventional trauma scores can provide more accuracy in outcome prediction of multiple trauma.

New injury severity score (NISS) outperforms injury severity score (ISS) in the evaluation of severe blunt trauma patients / 中华创伤杂志(英文版)

PURPOSE@#The injury severity score (ISS) and new injury severity score (NISS) have been widely used in trauma evaluation. However, which scoring system is better in trauma outcome prediction is still disputed. The purpose of this study is to evaluate the value of the two scoring systems in predicting trauma outcomes, including mortality, intensive care unit (ICU) admission and ICU length of stay.@*METHODS@#The data were collected retrospectively from three hospitals in Zhejiang province, China. The comparisons of NISS and ISS in predicting outcomes were performed by using receiver operator characteristic (ROC) curves and Hosmer-Lemeshow statistics.@*RESULTS@#A total of 1825 blunt trauma patients were enrolled in our study. Finally, 1243 patients were admitted to ICU, and 215 patients died before discharge. The ISS and NISS were equivalent in predicting mortality (area under ORC curve [AUC]: 0.886 vs. 0.887, p = 0.9113). But for the patients with ISS ≥25, NISS showed better performance in predicting mortality. NISS was also significantly better than ISS in predicting ICU admission and prolonged ICU length of stay.@*CONCLUSION@#NISS outperforms ISS in predicting the outcomes for severe blunt trauma and can be an essential supplement of ISS. Considering the convenience of NISS in calculation, it is advantageous to promote NISS in China's primary hospitals.

Demographic Study of Orthopedic Trauma among Patients Attending the Accident and Emergency Department in a Tertiary Care Hospital.

BACKGROUND: Trauma causes a major burden on the health system and economy of the country. A better understanding of the epidemiology of trauma can be of great help in planning preventive and curative strategies. MATERIALS AND METHODS: A total of 4834 patients of trauma presenting during 1 year were included in this observational study. Demographic profile and other related criteria were noted, and data were statistically analyzed. RESULTS: Male to female ratio was 5:1; most affected age group was 25-44 years in males and 45-64 years in females; 23.2% were illiterate; and professionals and students were most commonly affected. Road traffic accident (RTA), fall, and assault were the three most common causes; two wheelers were the most common accident causing vehicle. Nearly 17.7% were below poverty line and 67.6% reached hospital within 12 h. Medicolegal cases were 29.7%; only 29.3% reached hospital by ambulance and 3.72% were hemodynamically unstable. Only 3.6% received prehospital care and 16.23% were under alcohol influence. About 23.18% of RTA victims were pedestrians; city roads were the most common accident site. Head injury (25.85%) was the most common associated injury. Fractures were most common in hand (9.72%). The injury severity score (ISS) and New ISS were worse in the patients who were not using seat belt/helmet or were under influence of alcohol. The rate of death and associated injuries was also higher in this group. CONCLUSION: Trauma is a major preventable cause of mortality and morbidity mainly affecting the productive age group of the society.

Comparison of Injury Severity Score, New Injury Severity Score, Revised Trauma Score and Trauma and Injury Severity Score for Mortality Prediction in Elderly Trauma Patients.

OBJECTIVES: This study tests the accuracy of the Injury Severity Score (ISS), New Injury Severity Score (NISS), Revised Trauma Score (RTS) and Trauma and Injury Severity Score (TRISS) in prediction of mortality in cases of geriatric trauma. DESIGN: Prospective observational study. MATERIALS AND METHODS: This was a prospective observational study on two hundred elderly trauma patients who were admitted to JSS Hospital, Mysuru over a consecutive period of 18 months between December 2016 to May 2018. On the day of admission, data were collected from each patient to compute the ISS, NISS, RTS, and TRISS. RESULTS: Mean age of patients was 66.35 years. Most common mechanism of injury was road traffic accident (94.0%) with mortality of 17.0%. The predictive accuracies of the ISS, NISS, RTS and the TRISS were compared using receiver operator characteristic (ROC) curves for the prediction of mortality. Best cutoff points for predicting mortality in elderly trauma patient using TRISS system was a score of 91.6 (sensitivity 97%, specificity of 88%, area under ROC curve 0.972), similarly cutoff point under the NISS was score of 17(91%, 93%, 0.970); for ISS best cutoff point was at 15(91%, 89%, 0.963) and for RTS it was 7.108(97%,80%,0.947). There were statistical differences among ISS, NISS, RTS and TRISS in terms of area under the ROC curve (p <0.0001). CONCLUSION: TRISS was the strongest predictor of mortality in elderly trauma patients when compared to the ISS, NISS and RTS. HOW TO CITE THIS ARTICLE: Javali RH, Krishnamoorthy et al. Comparison of Injury Severity Score, New Injury Severity Score, Revised Trauma Score and Trauma and Injury Severity Score for Mortality Prediction in Elderly Trauma Patients. Indian J of Crit Care Med 2019;23(2):73-77.

Drugs in fall versus non-fall accidents with major trauma - A population-based clinical and medico-legal autopsy study.

BACKGROUND: The main aim of the present population-based study was to compare drugs in fall versus non-fall accidents causing major trauma, including both clinical and medico-legal autopsy data. METHODS: All individuals with accidents resulting in major trauma, a new injury severity score (NISS)>15 or lethal outcome was identified at hospital and/or the Department of Forensic Medicine between 2011 and 2013. Modified Downton Fall Risk Index ranged from 0 to 7, and was based on specific pharmaceuticals (max 5 points), previous fall (1 point) and cognitive impairment (1 point). RESULTS: One hundred and four individuals with major traumatic accidents were identified, 38 (36.5%) died. The median modified Downton Fall Risk Index was 2 for fall accidents and 0 for non-fall accidents (p < 0.001). Modified Downton Fall Risk Index was an age-independent factor associated with fall accident (p < 0.001). The medico-legal autopsy rate for in-hospital patients was 50% (6/12) for fatal fall accidents in comparison with 92.3% (12/13) for fatal non-fall accidents (p = 0.03). In individuals undergoing medico-legal autopsy, the proportion of individuals with any detected drug was 77% in fall accidents compared to 39% in non-fall accidents (p = 0.036). The presence of sedatives (p = 0.002) and bensodiazepines (p = 0.023) were higher for fall accidents compared to non-fall accidents. CONCLUSION: This population-based study on accidents with major trauma showed that drugs had high impact on fall accidents with major trauma. It seems warranted from a public health perspective to study if implementation of medication review guidelines at hospital managing polypharmacy issues may prevent fall accident recidivism.

Combined anatomic and physiologic scoring systems for predicting in-hospital mortality in ICU patients with severe trauma: A multicenter observational cohort study

Objective: To evaluate the ability of new injury severity score (NISS), acute physiology and chronic health evaluation II (APACHE II), Glasgow coma scale (GCS), a combination of NISS and GCS, a combination of APACHE II and GCS, a combination of NISS and APACHE II to predict all-cause mortality of patients with severe trauma in mainland China. Methods: This was a multicenter observational cohort study conducted in the ICU of the Chonggang General Hospital, Daping Hospital of the Army Medical University and Affiliated Hospital of Zunyi Medical College from January 2012 to August 2016. The score of NISS, APACHE II, GCS, a combination of NISS and GCS, a combination of APACHE II and GCS, a combination of NISS and APACHE II were calculated based on data from the first 24 hours of ICU admission. Data were processed with Student's t-test, chi-square test, and receiver operating characteristic (ROC) curve of six scoring systems. Calibration was assessed with the Hosmer-Lemeshow test. The primary endpoint was death from any cause during ICU stay. Results: A total of 852 and 238 patients with severe trauma were assigned to the derivation group and validation group, respectively. Area under the ROC curve (AUC) was 0.826 [95% confidence interval (CI)=0.794-0.855)] for NISS, 0.802 (95% CI=0.768-0.832) for APACHE II, 0.808 (95% CI=0.774-0.838) for NGCS, 0.859 (95% CI=0.829 -0.886) for NISS+NGCS, 0.864 (95% CI=0.835-0.890) for APACHE II +NGCS, 0.896 (95% CI=0.869-0.929) for NISS+APACHE II in the derivation cohort. Similarly, the score of NISS+APACHE II was also better than the other five scores in the validation cohort (AUC=0.782; 95% CI=0.725-0.833) and had a good calibration (P=0.41). Conclusions: Taking into account anatomical and physiological parameters completely, the combination of NISS and APACHE II performs better than NISS, APACHE II, NGCS, NISS+NGCS, APACHE II +NGCS for predicting mortality in ICU severe trauma patients. It is needful to develop models that contain various types of accessible predictors (demographic variables, injury cause/mechanism, physiological and anatomical variables, etc.) as comprehensive as possible.

Combined anatomic and physiologic scoring systems for predicting in-hospital mortality in ICU patients with severe trauma: A multicenter observational cohort study

Objective: To evaluate the ability of new injury severity score (NISS), acute physiology and chronic health evaluation II (APACHE II), Glasgow coma scale (GCS), a combination of NISS and GCS, a combination of APACHE II and GCS, a combination of NISS and APACHE II to predict all-cause mortality of patients with severe trauma in mainland China. Methods: This was a multicenter observational cohort study conducted in the ICU of the Chonggang General Hospital, Daping Hospital of the Army Medical University and Affiliated Hospital of Zunyi Medical College from January 2012 to August 2016. The score of NISS, APACHE II, GCS, a combination of NISS and GCS, a combination of APACHE II and GCS, a combination of NISS and APACHE II were calculated based on data from the first 24 hours of ICU admission. Data were processed with Student's t-test, chi-square test, and receiver operating characteristic (ROC) curve of six scoring systems. Calibration was assessed with the Hosmer-Lemeshow test. The primary endpoint was death from any cause during ICU stay. Results: A total of 852 and 238 patients with severe trauma were assigned to the derivation group and validation group, respectively. Area under the ROC curve (AUC) was 0.826 [95% confidence interval (CI)=0.794-0.855)] for NISS, 0.802 (95% CI=0.768-0.832) for APACHE II, 0.808 (95% CI=0.774-0.838) for NGCS, 0.859 (95% CI=0.829 -0.886) for NISS+NGCS, 0.864 (95% CI=0.835-0.890) for APACHE II +NGCS, 0.896 (95% CI=0.869-0.929) for NISS+APACHE II in the derivation cohort. Similarly, the score of NISS+APACHE II was also better than the other five scores in the validation cohort (AUC=0.782; 95% CI=0.725-0.833) and had a good calibration (P=0.41). Conclusions: Taking into account anatomical and physiological parameters completely, the combination of NISS and APACHE II performs better than NISS, APACHE II, NGCS, NISS+NGCS, APACHE II +NGCS for predicting mortality in ICU severe trauma patients. It is needful to develop models that contain various types of accessible predictors (demographic variables, injury cause/mechanism, physiological and anatomical variables, etc.) as comprehensive as possible.

Blossoming contusions: identifying factors contributing to the expansion of traumatic intracerebral hemorrhage.

Here, the authors examined the factors involved in the volumetric progression of traumatic brain contusions. The variables significant in this progression are identified, and the expansion rate of a brain bleed can now effectively be predicted given the presenting characteristics of the patient.

Severe intimate partner violence affecting both young and elderly patients of both sexes.

BACKGROUND: Intimate partner violence (IPV) affects 25-35 % of women and men in Western countries. Despite the high prevalence of IPV among trauma patients, very little is known about the associated injuries. Most previous studies excluded male victims and IPV is often limited to violence against women. Few reports on IPV among elderly patients exist. METHODS: We examined self-reports of IPV among patients at two major trauma centers of the Helsinki Central Hospital in Finland. Based on previous studies, we hypothesized that we would find the most severe injuries among young and middle-aged women. RESULTS: We identified 29 patients with a total of 105 injuries; patients typically presented with multiple injuries. Half of all patients required hospitalization or surgery. Contrary to previous studies, 17 % of our cohort were male, while 17 % of patients were 65 years or older. We found that 40 % of male victims presented with a New Injury Severity Score (NISS) over 15, indicating severe trauma. Two elderly patients presented with an NISS of 27, the highest in our study. CONCLUSIONS: IPV leads to severe injury across all age groups among both male and female patients. The injury mechanism should be clearly defined for all trauma patients, keeping IPV in mind as a potential cause despite patient age or gender.

Validation of the trauma mortality prediction scores from a Malaysian population.

BACKGROUND: Well-known trauma mortality prediction scores such as New Injury Severity Score (NISS), Revised Trauma Score (RTS), and Trauma and Injury Severity Score (TRISS) have been externally validated from high-income countries with established trauma databases. However, these scores were never used in Malaysian population. In this current study, we attempted to validate these scoring systems using our regional trauma surgery database. METHODS: A retrospective analysis of the regional Malaysian Trauma Surgery Database was performed over a period of 3 years from May 2011 to April 2014. NISS, RTS, Major Trauma Outcome Study (MTOS)-TRISS, and National Trauma Database (NTrD)-TRISS scores were recorded and calculated. Individual scoring system's performance in predicting trauma mortality was compared by calculating the area under the receiver operating characteristic (AUC) curve. Youden index and associated optimal cutoff values for each scoring system was calculated to predict mortality. The corresponding positive predictive value, negative predictive value, and accuracy of the cutoff values were calculated. RESULTS: A total of 2208 trauma patients (2004 blunt and 204 penetrating injuries) with mean age of 36 (SD = 16) years were included. There were 239 deaths with a corresponding mortality rate of 10.8%. The AUC calculated for the NISS, RTS, MTOS-TRISS, and NTrD-TRISS were 0.878, 0.802, 0.812, and 0.848, respectively. The NISS score with a cutoff value of 24, sensitivity of 86.6% and specificity of 74.3%, outperformed the rest (p < 0.001). Mortality was predicted by NISS with an overall accuracy of 75.6%; its positive predictive value was at 29.02% and negative predictive value at 97.86%. CONCLUSION: Amongst the four scores, the NISS score is the best trauma mortality prediction model suited for a local Malaysian trauma population. Further validation with multicentre data in the country may require to ascertain the finding.

Determinantes de los costos de la atención y la rehabilitación de personas lesionadas en accidentes de tránsito en Medellín, Colombia / Determinants of the Cost of Care and Rehabilitation of People Injured in Traffic Accidents in Medellin, Colombia / Determinantes dos custos de atendimento e reabilitação de pessoal lesado em acidentes de trânsito em Medellín, Colômbia

Resumen Objetivo: estimar los determinantes de los costos de atención y rehabilitación de personas lesionadas en accidentes de tránsito en Medellín, Colombia. Materiales y métodos: estudio de seguimiento a un año de 483 pacientes atendidos por lesiones moderadas y graves. Se incluyeron costos médicos, calculados a partir de los sistemas de facturación de los hospitales, y costos indirectos, asociados a la incapacidad para pacientes y cuidadores. Los determinantes del costo total se estimaron mediante un modelo lineal generalizado. Resultados: los costos de los pacientes graves fueron en promedio USD $2152 mayores que los de pacientes con lesiones moderadas. Quienes ingresaron a unidades de cuidados intensivos y especiales generaron costos adicionales de USD $29 362 y USD $5746 con respecto a quienes no lo hicieron. Los costos indirectos ascendieron al 3 % del costo total. Conclusiones: la gravedad de la lesión y el tipo de atención fueron los que más afectaron los costos de atención y rehabilitación.

Abstract Objective: estimating the determinants of the costs of care and rehabilitation of people injured in traffic accidents in Medellin, Colombia. Materials and Methods: follow-up study for a year on 483 patients treated due to moderate and severe injuries. We included medical costs calculated based on the hospital billing systems and indirect costs associated to the incapacity for patients and caregivers. The determinants of the total cost were estimated by means of a generalized linear model. Results: the costs for severely injured patients were, on average, higher by US $2,152 than those of patients with moderate injuries. Those who were interned in the intensive and special care units generated additional costs amounting to US $29,362 and US $5,746 in comparison to those who were not interned there. Indirect costs amounted to 3% of the total cost. Conclusions: the severity of the injuries and the type of care were the factors that influenced the most the cost of care and rehabilitation.

Resumo Objetivo: estimar as determinantes de custos de atendimento e reabilitação de pessoal leso em acidentes de trânsito em Medellín, Colômbia. Materiais e métodos: estudo de acompanhamento durante um ano de 483 pacientes atendidos por lesões moderadas e críticas. Incluíram-se custos médicos, calculados a partir dos sistemas de faturação dos hospitais e custos indiretos, associados à incapacidade para pacientes e cuidadores. As determinantes do custo total foram estimadas mediante modelo lineal generalizado. Resultados: os custos dos pacientes críticos foram USD $2152 em media, superiores aos de pacientes com lesões moderadas. Aqueles que ingressaram a unidades de tratamento intensivo e especial geraram custos adicionais de USD $29 362 e USD $5746 no que diz respeito de aqueles que não. Os custos indiretos ascenderam a 3% do custo total. Conclusões: a gravidade da lesão e o tipo de atendimento foram os que mais afetaram os custos de atendimento e reabilitação.

Comparison of the Ability to Predict Mortality between the Injury Severity Score and the New Injury Severity Score: A Meta-Analysis.

BACKGROUND: Description of the anatomical severity of injuries in trauma patients is important. While the Injury Severity Score has been regarded as the "gold standard" since its creation, several studies have indicated that the New Injury Severity Score is better. Therefore, we aimed to systematically evaluate and compare the accuracy of the Injury Severity Score and the New Injury Severity Score in predicting mortality. METHODS: Two researchers independently searched the PubMed, Embase, and Web of Science databases and included studies from which the exact number of true-positive, false-positive, false-negative, and true-negative results could be extracted. Quality was assessed using the Quality Assessment of Diagnostic Accuracy Studies checklist criteria. The meta-analysis was performed using Meta-DiSc. Meta-regression, subgroup analyses, and sensitivity analyses were conducted to determine the source(s) of heterogeneity and factor(s) affecting the accuracy of the New Injury Severity Score and the Injury Severity Score in predicting mortality. RESULTS: The heterogeneity of the 11 relevant studies (total n = 11,866) was high (I² > 80%). The meta-analysis using a random-effects model resulted in sensitivity of 0.64, specificity of 0.93, positive likelihood ratio of 5.11, negative likelihood ratio of 0.27, diagnostic odds ratio of 27.75, and area under the summary receiver operator characteristic curve of 0.9009 for the Injury Severity Score; and sensitivity of 0.71, specificity of 0.87, positive likelihood ratio of 5.22, negative likelihood ratio of 0.20, diagnostic odds ratio of 24.74, and area under the summary receiver operating characteristic curve of 0.9095 for the New Injury Severity Score. CONCLUSION: The New Injury Severity Score and the Injury Severity Score have similar abilities in predicting mortality. Further research is required to determine the appropriate use of the Injury Severity Score or the New Injury Severity Score based on specific patient condition and trauma type.