Evaluating Health Literacy in Families of Injured Children: A Prospective Observational Cohort Study at a Level One Pediatric Trauma Center

BACKGROUND

Low health literacy (HL) has been associated with poor health outcomes in children. Optimal recovery after pediatric injury requires caregiver participation in complicated rehabilitative and medical aftercare. We aimed to quantify HL among guardians of injured children and identify factors associated with low HL of guardians.

METHODS

A prospective observational cohort study was conducted to evaluate the HL using the Newest Vital Sign™ of guardians of injured children (≤18 years) admitted to a level 1 pediatric trauma center. Patient and guardian characteristics were compared across levels of HL using univariate statistics. We conducted multivariable logistic regression to identify factors independently-associated with low HL.

RESULTS

A sample of 95 guardian-child dyads were enrolled. The majority of guardians had low HL (n = 52, 55%), followed by moderate HL (n = 36, 38%) and high HL (n = 7, 7%). Many families received public benefits (n = 47, 49%) and 12 guardians (13%) had both housing and employment insecurity. Guardians with low HL were significantly more likely to have insecure housing and not have completed any college.

CONCLUSION

The majority of injured children had a primary guardian with low HL. Pediatric trauma centers should consider screening for low HL to ensure that families have adequate post-discharge support.

LEVEL OF EVIDENCE

Level 3.

The new injury severity score underestimates true injury severity in a resource-constrained setting

Background

The new injury severity score (NISS) is widely used within trauma outcomes research. NISS is a composite anatomic severity score derived from the Abbreviated Injury Scale (AIS) protocol. It has been postulated that NISS underestimates trauma severity in resource-constrained settings, which may contribute to erroneous research conclusions. We formally compare NISS to an expert panel's assessment of injury severity in South Africa.

Methods

This was a retrospective chart review of adult trauma patients seen in a tertiary trauma center. Randomly selected medical records were reviewed by an AIS-certified rater who assigned an AIS severity score for each anatomic injury. A panel of five South African trauma experts independently reviewed the same charts and assigned consensus severity scores using a similar scale for comparability. NISS was calculated as the sum of the squares of the three highest assigned severity scores per patient. The difference in average NISS between rater and expert panel was assessed using a multivariable linear mixed effects regression adjusted for patient demographics, injury mechanism and type.

Results

Of 49 patients with 190 anatomic injuries, the majority were male (n = 38), the average age was 36 (range 18-80), with either a penetrating (n = 23) or blunt (n = 26) injury, resulting in 4 deaths. Mean NISS was 16 (SD 15) for the AIS rater compared to 28 (SD 20) for the expert panel. Adjusted for potential confounders, AIS rater NISS was on average 11 points (95 % CI: 7, 15) lower than the expert panel NISS (p < 0.001). Injury type was an effect modifier, with the difference between the AIS rater and expert panel being greater in penetrating versus blunt injury (16 vs. 7; p = 0.04). Crush injury was not well-captured by AIS protocol.

Conclusion

NISS may under-estimate the 'true' injury severity in a middle-income country trauma hospital, particularly for patients with penetrating injury.

Analysis of experimental injuries to obese occupants with different postures in frontal impact

The objective of the present study was to analyze injuries and their patterns to obese occupants in frontal impacts with upright and reclined postures using experimental data. Twelve obese post-mortem human subjects (PMHS) were positioned on a sled buck with seatback angles of 250 or 450 from the vertical, termed as upright and reclined postures. They were restrained with a seat belt and pretensioner. Frontal impact tests were conducted at 8.9 or 13.9 m/s, termed as low and high velocities. After the test, x-rays and CTs were taken, and an autopsy was conducted. The Maximum AIS (MAIS) and Injury Severity Score (ISS) were calculated, and injury patterns were analyzed. The mean age, stature, total body mass, and body mass indexes were 67 years, 112 kg, and 1.7 m, and 38 kg/m2. None of these parameters were statistically significantly different between any groups. The mean thickness of the soft tissues in the left anterior lateral, central, and right anterior lateral aspects were 44 mm, 24 mm, and 46 mm. In the low-velocity tests, the ISS data were 9, 18, and 9 for the upright, and 9, 9, and 4 for the reclined specimens, and in the high velocity tests, they were 29, 17, and 27 for the upright, and 27, 13, and 27 for the reclined postures. Other data are given in the paper. For both postures at the low velocity, injuries were concentrated at one body region, and the ISS data were in the mild category; in contrast, at the high velocity, other body regions also sustained injuries, and the ISS data were in the major trauma category. From MAIS perspectives, injuries to obese occupants did not change between postures and were independent of the energy input to the system. The association of chest with pelvis injuries in upright and reclined postures to obese occupants may have additional consequences following the initial injury to this group of our population.

Extremity Fractures as the Most Common Missed Injuries: A Prospective Cohort in Intensive Care Unit Admitted Multiple Trauma Patients

Background

Although an intensive care unit (ICU) admission is a risk factor for missed injury, there has been some disagreement on whether missed injuries in trauma ICU patients have a longer length of stay (LOS). With this in mind, these patients' frequency of missed injuries and related factors were investigated.

Materials and methods

This was a prospective cohort study on multiple trauma injury patients in a tertiary referral trauma center's trauma intensive care unit (TICU) from March 2020 to March 2021. A tertiary survey was conducted in the TICU by attending physicians to find the types I and II missed injuries (any injury discovered after primary and secondary surveys during the hospital stay). A logistic regression model was designed for predictors of missed injuries in ICU-admitted multiple trauma patients.

Results

Out of 290 study participants, 1,430 injuries were found, and of those injuries, 74 cases (25.5%) had missed injuries. In other words, there were 103 missed injuries, resulting in a missed injury detection rate of 7.2%. The most frequently missed injuries (43.4%) were concluded as extremities fractures. The regression model showed that the patients with missed injuries are prone to longer TICU LOS [odds ratio (OR) = 1.15; p = 0.033], and cases who underwent a computed tomography (CT) scan are less likely to have missed injuries (OR = 0.04; p < 0.001). The abbreviated injury scale (AIS) range was 1-3 in missed injuries.

Conclusion

Our research underlines the importance of finding missed injuries and the necessity of CT scan to decrease them. In teaching centers, life-threatening injuries decrease with increasing visits and examination times. Although these missed injuries do not increase mortality, they cause longer TICU LOS and costs.

How to cite this article

Bahramian M, Shahbazi P, Hemmati N, Mohebzadeh P, Najafi A. Extremity Fractures as the Most Common Missed Injuries: A Prospective Cohort in Intensive Care Unit Admitted Multiple Trauma Patients. Indian J Crit Care Med 2023;27(3):201-204.

Incidence, risk factors and potential timing of occurrence of pulmonary embolism in fatal trauma: An autopsy based case-control study on 2705 victims

BACKGROUND

Pulmonary embolism (PE) following trauma is a potentially preventable but highly lethal complication. We sought to investigate the incidence, risk factors and potential timing of occurrence of post-traumatic PE in a large cohort of trauma fatalities.

METHODS

A case-control study on 9266 consecutive trauma fatalities (between 1996 and 2005) from a regional autopsy-based trauma registry. Injuries were classified according to the Abbreviated Injury Scale-1990 edition (AIS-90) and the Injury Severity Score (ISS) was calculated. Hospitalized victims were categorized according to the presence or absence of PE on autopsy. Univariate comparisons and multivariate logistic regression analysis for probabilities of association (odds ratios-OR) were performed.

RESULTS

Out of 2705 subjects who met the inclusion criteria, 116 had autopsy findings of PE and constituted the PE group (incidence of 4,3%), while the remaining victims formed the control group. The survival time of the PE group ranged from 0.66 to 104.73 days. Victims in the PE group were older (median age 69.5 vs 59), had lower ISS values (median 16 vs 26) and longer post-injury survival times (median 13.6 vs 5.7 days). Positively associated risk factors were AIS2-5 pelvic ring injuries (OR:2.23) and secondary deaths following an uneventful hospital discharge (OR:3.97), while AIS2-5 head (OR:0.33) and abdominal injuries (OR:0.23) showed a reverse association.

CONCLUSIONS

Trauma fatalities with autopsy findings of PE were associated with less severe trauma indicating that PE was likely detrimental to the fatal outcome. Both the early and delayed occurrence of PE was reaffirmed. Prophylactic measures should be initiated promptly and extended post discharge for high risk patients to prevent secondary deaths.

The Relationship Between Trauma Scoring Systems and Outcomes in Patients With Severe Traumatic Brain Injury

OBJECTIVE

This study investigated the relationship between trauma scoring systems and outcomes in patients with severe traumatic brain injury (TBI).

METHODS

From January 2018 to June 2021, 1,122 patients with severe TBI were registered in the Korean Neuro-Trauma Data Bank System. Among them, 697 patients with data on trauma scoring systems were included in the study. According to the Glasgow Outcome Scale-Extended score, the patients were divided into unfavorable and favorable outcome groups. The abbreviated injury scale (AIS), injury severity score (ISS), revised trauma score (RTS), and trauma and injury severity score (TRISS) were evaluated.

RESULTS

The AIS head score was higher in the unfavorable outcome group than in the favorable outcome group (4.39 vs. 4.06, p<0.001). ISS was also higher in the unfavorable outcome group (27.27 vs. 24.22, p=0.001). The RTS and TRISS were higher in the favorable outcome group (RTS, 4.74 vs. 5.45, p<0.001; TRISS, 48.05 vs. 71.02, p<0.001). In comparing the survival and death groups, the ISS was lower in the survival group (25.76 vs. 27.29, p=0.036). Furthermore, RTS was higher in the survival group (5.26 vs. 4.54, p<0.001), as was TRISS (62.11 vs. 44.91, p<0.001).

CONCLUSION

Trauma scoring systems, including ISS, RTS, and TRISS, provide tools for quantifying posttraumatic risk and can be used to predict prognosis. Among these, TRISS is an indicator of the predicted survival rate and is considered a clinically useful tool for predicting unfavorable and favorable outcomes in patients with severe TBI.

Impact of AIS 2015 versus 1998 on injury severity scoring and mortality prediction - single centre retrospective comparison study

BACKGROUND

A key component of trauma system evaluation is the Injury Severity Score (ISS). The ISS is dependent on the AIS, and as AIS versions are updated this effects the number of patients within a health system which are considered severely injured (ISS >15). This study aims to analyse the changes comparing AIS1998 and AIS2015, and its impact on injury severity scoring and survival prediction model in a major trauma centre.

METHODS

This retrospective study reviewed all blunt trauma admissions from 1 January 2020 to 31 December 2020 from the trauma registry of Prince of Wales Hospital, Hong Kong. Patients were manually double coded with AIS1998 and AIS2015 by the same experienced trauma nurse who have completed both AIS 1998 and AIS 2015 Courses. AIS patterns and Injury Severity Scores (ISS) derived from AIS 1998 and 2015 were compared using the Wilcoxon Signed Rank Test. The area under the receiving operator curve (AUROC) was compared based on the Trauma and Injury Severity Score (TRISS) model using AIS 1998 and AIS 2015.

RESULTS

739 patients were included. There were 34 deaths within 30 days (30-day mortality rate 4.6%). Patients coded with AIS2015 compared with AIS1998 had significant reductions in the classification of serious, severe and critical categories of AIS, with a substantial increase in the mild and moderate categories. The largest reduction was observed in the head and neck region (Z = -11.018, p < 0.001), followed by the chest (Z = -6.110, p < 0.001), abdomen (Z = -4.221, p < 0.001) and extremity regions (Z = -4.252, p < 0.001). There was a 27% reduction in number of cases with ISS >15 in AIS2015 compared with AIS1998. Rates of 30-day mortality, ICU admission, emergency operation and trauma team activation of ISS > 15 using AIS 1998 were similar to the cut off for New Injury Severity Score (NISS) >12 using AIS 2015. The AUROC from the TRISS (AIS2015) was 0.942, and not different from the AUROC for TRISS (AIS1998) of 0.936. The sensitivity and specificity were 93.9% and 82.1% for TRISS (AIS2015), and 93.9% and 76.0% for TRISS (AIS1998).

CONCLUSION

Trauma centres should be aware of the impact of the AIS2015 update on the benchmarking of trauma care, and consider the need for updating the ISS cut off for major trauma definitions.

Evaluating mechanism and severity of injuries among trauma patients admitted to Sina Hospital, the National Trauma Registry of Iran

PURPOSE

Injuries are one of the leading causes of death and lead to a high social and financial burden. Injury patterns can vary significantly among different age groups and body regions. This study aimed to evaluate the relationship between mechanism of injury, patient comorbidities and severity of injuries.

METHODS

The study included trauma patients from July 2016 to June 2018, who were admitted to Sina Hospital, Tehran, Iran. The inclusion criteria were all injured patients who had at least one of the following: hospital length of stay more than 24 h, death in hospital, and transfer from the intensive care unit of another hospital. Data collection was performed using the National Trauma Registry of Iran minimum dataset.

RESULTS

The most common injury mechanism was road traffic injuries (49.0%), followed by falls (25.5%). The mean age of those who fell was significantly higher in comparison with other mechanisms (p < 0.001). Severe extremity injuries occurred more often in the fall group than in the vehicle collision group (69.0% vs. 43.5%, p < 0.001). Moreover, cases of severe multiple trauma were higher amongst vehicle collisions than injuries caused by falls (27.8% vs. 12.9%, p = 0.003).

CONCLUSION

Comparing falls with motor vehicle collisions, patients who fell were older and sustained more extremity injuries. Patients injured by motor vehicle collision were more likely to have sustained multiple trauma than those presenting with falls. Recognition of the relationship between mechanisms and consequences of injuries may lead to more effective interventions.

A descriptive study of orthopaedic injuries due to parachute jumping in soldiers

Background

While parachute jumping, soldiers may suffer minor or life-threatening injuries in various parts of the body. Several trauma scoring systems assess the severity of such injuries. The primary goal of this study was to assess clinical characteristics and the severity of orthopaedic, musculoskeletal, and other injuries from military training-related parachute jumping using two trauma scoring systems (AIS and ISS). Our secondary goal was to assess whether there was an increase in injury rates with age.

Methods

In total, 185 military personnel between 19 and 51 years old who were injured as a result of daytime static parachute jumping during 44 months between January 2016 and August 2019 were included in the study. Demographic data; vital signs; the level of consciousness; the Glasgow Coma Scale; ISS trauma region classifications; anatomical injury sites; AIS and ISS scores; diagnoses; treatment methods; hospitalization status; and duration of hospital stay were examined descriptively.

Results

There were 184 male and one female participant. The most commonly injured body site was the foot (33.5%), and the most common diagnosis was soft tissue trauma (64.3%). The most commonly injured body site was the foot (33.5%), and the most common diagnosis was soft tissue trauma (64.3%). Regarding treatment methods, 51.4% received analgesic pills and cold pack application, 42.7% received a plaster splint, and 5.9% had orthopaedic surgery. The mean ISS score was 5.16 ± 3.92. The hospitalization rate was significantly higher for patients with a critical AIS score than those with a severe AIS score (p < 0.001).

Conclusions

The use of trauma scoring systems to assess injury severity among patients admitted to an ED due to a parachute jumping injury may facilitate treatment selection. We found that AIS and ISS were useful in determining injury severity. Therefore, we recommend the use of trauma scoring systems for assessing the injury severity and the therapeutic approach, and we advocate for the use of the 17 anatomical regions we used in this study. We also found that with increasing age, the severity of injury could increase.

The effects of alcohol and marijuana on survival after severe traumatic brain injury: A retrospective cohort study

Background

Alcohol (ETOH) and marijuana (THC) use have previously shown to improve outcomes after Traumatic Brain Injury (TBI). However, whether TBI severity impacts outcomes among patients tested positive for both ETOH and THC remains unclear.

Materials and methods

A retrospective review from the Northern Ohio Regional Trauma Registry, which includes deidentified data from six regional hospitals, including three Level 1 and three Level 3 trauma centers, was performed to assess adult (>18 years) patients with severe TBI (head Abbreviated Injury Score ≥ 3) between January 2012 and December 2018 having an alcohol and drug toxicology screen and data regarding outcome at discharge. Patients were divided into two groups: 1) patients with a negative ETOH and drug test, and 2) patients positive for ETOH + THC. Mortality at discharge was the primary outcome measure and multiple logistic regression was used to assess predictors of mortality at discharge.

Results

A total of 854 (median age: 51 years [range: 18–72]; 34.4% female [294/854]) patients were included. On multiple logistic regression, age (p = 0.003), days in intensive care unit (ICU) (p < 0.001), Glasgow Coma Scale (GCS) (p < 0.001), Injury Severity Score (ISS) (p < 0.001), length of stay (LOS) (p < 0.001), and days on ventilator support (p = 0.032) were significant predictors of mortality at discharge. Blood alcohol content (BAC), cause of TBI, drug class, and sex were not significant predictors of mortality at discharge.

Conclusions

After severe TBI, positive THC and BAC screening did not predict mortality at discharge after controlling for confounding variables, indicating no survival benefit for patients with severe TBI.

•

No survival benefit of alcohol and marijuana for severe traumatic brain injury.

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Glasgow Coma Scale predict mortality for severe traumatic brain injury.

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Injury Severity Score predict mortality for severe traumatic brain injury.

Correlating injury severity scores and major trauma volume using a state-wide in-patient administrative dataset linked to trauma registry data-A retrospective analysis from New South Wales Australia

INTRODUCTION

Trauma registries are used to analyse and report activity and benchmark quality of care at designated facilities within a trauma system. These capabilities may be enhanced with the incorporation of administrative and electronic medical record datasets, but are currently limited by the use of different injury coding systems between trauma and administrative datasets.

OBJECTIVES

Use an Abbreviated Injury Scale to International Classification of Disease (AIS-ICD) mapping tool to correlate estimated injury severity scores and major trauma volume based on administrative data collections with trauma registry data.

METHODS

Adult trauma cases were identified from the New South Wales Trauma Registry between 2012 and 2016 and linked probabilistically using age, facility and date of facility arrival to the Admitted Patient Data Collection (APDC). Estimated Injury Severity Scores (ISS) were derived using the AIS-ICD mapping tool applied to diagnoses contained in the APDC.

RESULTS

A total of eligible 13,439 cases were analysed. The overall correlation between trauma registry ISS and ISS estimated from APDC using the AIS-ICD mapping tool was low to moderate (Spearman Rho 0.41 95%CI 0.40, 0.43). Based on an estimated ISS cut-off value of 8, there was high correlation between estimated trauma volume and the number of major trauma cases at each facility (Spearman Rho 0.98, 95%CI 0.95, 0.99). Trauma Revised Injury Severity Score (TRISS) was associated with only slightly higher mortality prediction performance compared to estimated ISS (AUROC 0.76 95%CI 0.75, 0.78 versus AUROC 0.74 95%CI 0.73, 0.76).

CONCLUSION

A low to moderate correlation exists between individual patient ISS scores based on AIS to ICD mapping of in-patient data collection, but a high correlation for overall major trauma volume using the AIS-ICD mapping at facility level with comparable TRISS mortality prediction.

Injury coding in a national trauma registry: a one-year validation audit in a level 1 trauma centre

Background

Hospitals must improve patient safety and quality continuously. Clinical quality registries can drive such improvement. Trauma registries code injuries according to the Abbreviated Injury Scale (AIS) and benchmark outcomes based on the Injury Severity Score (ISS) and New ISS (NISS). The primary aim of this study was to validate the injury codes and severities registered in a national trauma registry. Secondarily, we aimed to examine causes for missing and discordant codes, to guide improvement of registry data quality.

Methods

We conducted an audit and established an expert coder group injury reference standard for patients met with trauma team activation in 2015 in a Level 1 trauma centre. Injuries were coded according to the AIS. The audit included review of all data in the electronic health records (EHR), and new interpretation of all images in the picture archiving system. Validated injury codes were compared with the codes registered in the registry. The expert coder group’s interpretations of reasons for discrepancies were categorised and registered. Inter-rater agreement between registry data and the reference standard was tested with Bland–Altman analysis.

Results

We validated injury data from 144 patients (male sex 79.2%) with median age 31 (inter quartile range 19–49) years. The total number of registered AIS codes was 582 in the registry and 766 in the reference standard. All injuries were concordantly coded in 62 (43.1%) patients. Most non-registered codes (n = 166 in 71 (49.3%) patients) were AIS 1, and information in the EHR overlooked by registrars was the dominating cause. Discordant coding of head injuries and extremity fractures were the most common causes for 157 discordant AIS codes in 74 (51.4%) patients. Median ISS (9) and NISS (12) for the total population did not differ between the registry and the reference standard.

Conclusions

Concordance between the codes registered in the trauma registry and the reference standard was moderate, influencing individual patients’ injury codes validity and ISS/NISS reliability. Nevertheless, aggregated median group ISS/NISS reliability was acceptable.

Outcome Prediction after Traumatic Brain Injury: Comparison of the Performance of Routinely Used Severity Scores and Multivariable Prognostic Models

Objectives:

Prognosis of outcome after traumatic brain injury (TBI) is important in the assessment of quality of care and can help improve treatment and outcome. The aim of this study was to compare the prognostic value of relatively simple injury severity scores between each other and against a gold standard model – the IMPACT-extended (IMP-E) multivariable prognostic model.

Materials and Methods:

For this study, 866 patients with moderate/severe TBI from Austria were analyzed. The prognostic performances of the Glasgow coma scale (GCS), GCS motor (GCSM) score, abbreviated injury scale for the head region, Marshall computed tomographic (CT) classification, and Rotterdam CT score were compared side-by-side and against the IMP-E score. The area under the receiver operating characteristics curve (AUC) and Nagelkerke's R² were used to assess the prognostic performance. Outcomes at the Intensive Care Unit, at hospital discharge, and at 6 months (mortality and unfavorable outcome) were used as end-points.

Results:

Comparing AUCs and R²s of the same model across four outcomes, only little variation was apparent. A similar pattern is observed when comparing the models between each other: Variation of AUCs <±0.09 and R²s by up to ±0.17 points suggest that all scores perform similarly in predicting outcomes at various points (AUCs: 0.65–0.77; R²s: 0.09–0.27). All scores performed significantly worse than the IMP-E model (with AUC > 0.83 and R² > 0.42 for all outcomes): AUCs were worse by 0.10–0.22 (P < 0.05) and R²s were worse by 0.22–0.39 points.

Conclusions:

All tested simple scores can provide reasonably valid prognosis. However, it is confirmed that well-developed multivariable prognostic models outperform these scores significantly and should be used for prognosis in patients after TBI wherever possible.

Prediction of discharge destination after traumatic brain injury in children using the head abbreviated injury scale

INTRODUCTION

Traumatic brain injury (TBI) is a major public health problem, particularly in children. Prognostication of injury severity at the time of presentation is difficult. The Abbreviated Injury Scale (AIS) is a commonly used anatomical-based coding system created to classify and describe injury severity after initial presentation, once test results are able to better define the anatomical characteristics of the injury. We hypothesize that the Head AIS can predict discharge destination in children after TBI.

METHODS

The trauma registry database for a Pediatric Level 1 Trauma center was queried for patients age ≤14 years from 2006 to 2015 with a Head AIS>2. All diagnoses with head AIS>2 were retrieved. Since one patient can have multiple diagnoses with an AIS>2, we selected the diagnosis with highest Head AIS associated with each patient. The demographics, length of stay, and the discharge disposition of patients were retrieved. Descriptive statistics were performed and association of Head AIS with the length of stay and discharge disposition was determined using logistic regression.

RESULTS

393 pediatric patients (age≤14 years) with an Head AIS ≥3, (64.0% males, mean age = 6.2 S.D. 4.58) presented over 10 years. Head AIS was strongly associated with mortality; with 0.8%, 1.1% and 42.0% of patients with Head AIS of 3, 4 and 5, respectively, dying - odds ratio for Head AIS 5 over Head AIS 3 = 89 (logistic regression, p-value<0.001). 80.0% of deaths (23 patients) in this cohort occurred within 24-h of presentation. Head AIS was associated with an increase likelihood of discharge to rehabilitation with 1.2%, 7.7% and 47.0% of survivors discharging to rehabilitation for Head AIS of 3, 4 and 5.

CONCLUSION

Head AIS can reliably predict discharge disposition to home, rehab or death. Calculation of Head AIS prior to discharge could lead to accurate prediction of discharge destination.

Predictive capability of the injury severity score versus the new injury severity score in the categorization of the severity of trauma patients: a cross-sectional observational study

PURPOSE

The AIS scale is a measurement tool for single injuries. The ISS is considered the gold standard for determining the severity of injured patients, and the NISS was developed to improve the ISS with respect to loss of information, as well as to facilitate its calculation. The aim of this study was to analyse what injury severity measure, calculated according to the Abbreviated Injury Scale (AIS), 1998 and 2005 (update 2008) versions, performs better with mortality, cost and hospital length of stay healthcare indicators.

METHODS

This cross-sectional observational study was carried out between February 1st 2012 and February 1st 2013. Inclusion criteria were injured patients due to external causes admitted to trauma service through the emergency department. Manual coding of all injuries was performed and ISS and NISS scores were calculated for both versions of the AIS scale. Severity was then compared to mortality (in-hospital and at 30 days), healthcare cost, and length of hospital stay.

RESULTS

The index with the best predictive capability for in-hospital mortality was NISS 05 (AUC = 0.811). There was a significant increase in hospital stay and healthcare cost in the most severe patients in all indexes, except for ISS 05.

CONCLUSIONS

NISS is found to be an index with higher predictive capability for in-hospital mortality and correlates better to length of hospital stay and healthcare cost.

Defining polytrauma by abbreviated injury scale ≥ 3 for a least two body regions is insufficient in terms of short-term outcome: A cross-sectional study at a level I trauma center

Background

Patients with polytrauma are expected to have a higher risk of mortality than the summation of expected mortality for their individual injuries. This study was designed to investigate the outcome of polytrauma patients, diagnosed by abbreviated injury scale (AIS) ≥ 3 for at least two body regions, at a level I trauma center.

Methods

Detailed data of 694 polytrauma patients and 2104 non-polytrauma patients with an overall Injury Severity Score (ISS) ≥ 16 and hospitalized between January 1, 2009, and December 31, 2014 for treatment of all traumatic injuries, were retrieved from the Trauma Registry System. Two-sided Fisher exact or Pearson chi-square tests were used to compare categorical data. The unpaired Student t-test was used to analyze normally distributed continuous data, and the Mann–Whitney U-test was used to compare non-normally distributed data. Propensity-score matching in a 1:1 ratio was performed using NCSS software with logistic regression to evaluate the effect of polytrauma on in-hospital mortality.

Results

There was no significant difference in short-term mortality between polytrauma and non-polytrauma patients, regardless of whether the comparison was made among the total patients (11.4% vs. 11.0%, respectively; p = 0.795) or among the selected propensity score-matched groups of patients following controlled covariates including sex, age, systolic blood pressure, co-morbidities, Glasgow Coma Scale scores, injury region based on AIS.

Conclusions

Polytrauma defined by AIS ≥3 for at least two body regions failed to recognize a significant difference in short-term mortality among trauma patients.

Major influence of interobserver reliability on polytrauma identification with the Injury Severity Score (ISS): Time for a centralised coding in trauma registries?

OBJECTIVE

The Abbreviated Injury Scale (AIS) and the Injury Severity Score (ISS) find increasingly widespread use to assess trauma burden and to perform interhospital benchmarking through trauma registries. Since 2015, public resource allocation in Switzerland shall even be derived from such data. As every trauma centre is responsible for its own coding and data input, this study aims at evaluating interobserver reliability of AIS and ISS coding.

METHODS

Interobserver reliability of the AIS and ISS is analysed from a cohort of 50 consecutive severely injured patients treated in 2012 at our institution, coded retrospectively by 3 independent and specifically trained observers.

RESULTS

Considering a cutoff ISS≥16, only 38/50 patients (76%) were uniformly identified as polytraumatised or not. Increasing the cut off to ≥20, this increased to 41/50 patients (82%). A difference in the AIS of ≥ 1 was present in 261 (16%) of possible codes. Excluding the vast majority of uninjured body regions, uniformly identical AIS severity values were attributed in 67/193 (35%) body regions, or 318/579 (55%) possible observer pairings.

CONCLUSION

Injury severity all too often is neither identified correctly nor consistently when using the AIS. This leads to wrong identification of severely injured patients using the ISS. Improving consistency of coding through centralisation is recommended before scores based on the AIS are to be used for interhospital benchmarking and resource allocation in the treatment of severely injured patients.

A review of the revised Functional Capacity Index as a predictor of 12 month outcomes following injury

The measurement of functional outcomes following severe trauma has been widely recognised as a priority for countries with developed trauma systems. In this respect, the Functional Capacity Index (FCI), a multi-attribute index which has been incorporated into the most recent Abbreviated Injury Scale (AIS) dictionary, is potentially attractive as it offers 12-month functional outcome predictions for patients captured by existing AIS-coded datasets. This review paper outlines the development, construction and validation of the predictive form of the FCI (termed the pFCI), the modifications made which produced the currently available 'revised' pFCI, and the extent to which the revised pFCI has been validated and used. The original pFCI performed poorly in validation studies. The revised pFCI does not address many of the identified limitations of the original version, and despite the ready availability of a truncated version in the AIS dictionary, it has only been used in a handful of studies since its introduction several years ago. Additionally, there is little evidence for its validity. It is suggested that the pFCI should be better validated, whether in the narrow population group of young, healthy individuals for which it was developed, or in the wider population of severely injured patients. Methods for accounting for the presence of multiple injures (of which two have currently been used) should also be evaluated. Many factors other than anatomical injury are known to affect functional outcomes following trauma. However, it is intuitive that any model which attempts to predict the ongoing morbidity burden in a trauma population should consider the effects of the injuries sustained. Although the revised pFCI potentially offers a low-cost assessment of likely functional limitations resulting from anatomical injury, it must be more rigorously evaluated before more comprehensive predictive tools can be developed from it.

Outcome Prediction after Traumatic Brain Injury: Comparison of the Performance of Routinely Used Severity Scores and Multivariable Prognostic Models

OBJECTIVES

Prognosis of outcome after traumatic brain injury (TBI) is important in the assessment of quality of care and can help improve treatment and outcome. The aim of this study was to compare the prognostic value of relatively simple injury severity scores between each other and against a gold standard model - the IMPACT-extended (IMP-E) multivariable prognostic model.

MATERIALS AND METHODS

For this study, 866 patients with moderate/severe TBI from Austria were analyzed. The prognostic performances of the Glasgow coma scale (GCS), GCS motor (GCSM) score, abbreviated injury scale for the head region, Marshall computed tomographic (CT) classification, and Rotterdam CT score were compared side-by-side and against the IMP-E score. The area under the receiver operating characteristics curve (AUC) and Nagelkerke's R² were used to assess the prognostic performance. Outcomes at the Intensive Care Unit, at hospital discharge, and at 6 months (mortality and unfavorable outcome) were used as end-points.

RESULTS

Comparing AUCs and R²s of the same model across four outcomes, only little variation was apparent. A similar pattern is observed when comparing the models between each other: Variation of AUCs <±0.09 and R²s by up to ±0.17 points suggest that all scores perform similarly in predicting outcomes at various points (AUCs: 0.65-0.77; R²s: 0.09-0.27). All scores performed significantly worse than the IMP-E model (with AUC > 0.83 and R² > 0.42 for all outcomes): AUCs were worse by 0.10-0.22 (P < 0.05) and R²s were worse by 0.22-0.39 points.

CONCLUSIONS

All tested simple scores can provide reasonably valid prognosis. However, it is confirmed that well-developed multivariable prognostic models outperform these scores significantly and should be used for prognosis in patients after TBI wherever possible.

Criteria for level 1 and level 2 trauma codes: Are pelvic ring injuries undertriaged?

AIM: To determine the association of unstable pelvic ring injuries with trauma code status.

METHODS: A retrospective review of all pelvic ring injuries at a single academic center from July 2010 to June 2013 was performed. The trauma registry was used to identify level 1 and level 2 trauma codes for each injury. The computed tomography scans in all patients were classified as stable or unstable using the Abbreviated Injury Scale. Pelvic injury classifications in level 1 and level 2 groups were compared. Patient disposition at discharge in level 1 and level 2 groups were also compared.

RESULTS: There were 108 level 1 and 130 level 2 blunt trauma admissions. In the level 1 group, 67% of pelvic injuries were classified as stable fracture patterns and 33% were classified as unstable. In the level 2 group, 62% of pelvic injuries were classified as stable fracture patterns and 38% were classified as unstable. level 1 trauma code was not associated with odds of having an unstable fracture pattern (OR = 0.83, 95%CI: 0.48-1.41, P = 0.485). In the level 1 group with unstable pelvic injuries, 33% were discharged to home, 36% to a rehabilitation facility, and 32% died. In the level 2 group with unstable pelvic injuries, 65% were discharged to home, 31% to a rehabilitation facility, and 4% died. For those with unstable pelvic fractures (n = 85), assignment of a level 2 trauma code was associated with reduced odds of death (OR = 0.07, 95%CI: 0.01-0.35, P = 0.001) as compared to being discharged to home.

CONCLUSION: Trauma code level assignment is not correlated with severity of pelvic injury. Because an unstable pelvis can lead to hemodynamic instability, these injuries may be undertriaged.

Reporting road victims: Assessing and correcting data issues through distinct injury scales

INTRODUCTION

The most common measurement for road accidents relies in police reports; however, there is a high portion of underreporting and misclassification, mainly concerning elderly causalities, urban accidents, slightly injured, users of two-wheeled vehicles, and car occupants.

METHODS

In order to assess these issues, road accidents occurring in the Porto Metropolitan Area, Portugal, covering a 6-year period (2006-2011) were analyzed based on police and hospital datasets. By linking hospital data with police data, it is possible to evaluate the misclassification of the victims' severity by the police regarding the maximum abbreviated injury scale (MAIS) classification. Additionally, considering that 29% of the victims recorded by hospitals were not reported by the police, which is in line with the reality of other EU countries, underreporting is further investigated. Thus, we used econometric and statistics tools to measure the correlation between different available data to identify possible causes of underreporting and misclassification. In this sense, factors contributing to the misclassification of casualties by the police are identified using a univariate analysis. On the basis of the linked police-hospital data, and considering those factors and the police classification, a probabilistic model was developed to estimate a MAIS-based classification for all individuals included in the police accident records.

RESULTS

The results of misclassification indicate a significant over-classification of severe injury by the police. Additionally, a systematic police underreporting phenomenon of around 30% was found. Conclusions and Practical Applications: Finally, comparing estimated results and actual data, we were able to produce non-fatality adjustment coefficients to estimate the total casualties taking into account the underreporting and misclassification phenomena and to compare them with the Portuguese and European realities.

[Road traffic injuries in Catalonia (Spain): an approach using the minimum data set for acute-care hospitals and emergency resources]

OBJECTIVE

To verify the usefulness of the minimum data set (MDS) for acute-care hospitals and emergency resources for the study of road traffic injuries and to describe the use of health resources in Catalonia (Spain).

METHODS

The study population consisted of patients treated in any kind of emergency service and patients admitted for acute hospitalization in Catalonia in 2013. A descriptive analysis was performed by age, gender, time and clinical variables.

RESULTS

A total of 48,150 patients were treated in hospital emergency departments, 6,210 were attended in primary care, and 4,912 were admitted to hospital. There was a higher proportion of men (56.2%), mainly aged between 20 and 40 years. Men accounted for 54.9% of patients with minor injuries and 75.1% of those with severe injuries. Contusions are the most common injury (30.2%), followed by sprains (28.7%). Fractures mostly affected persons older than 64 years, internal injuries particularly affected men older than 64 years, and wounds mainly affected persons younger than 18 years and older than 64 years. In the adult population, the severity of the injuries increased with age, leading to longer length of stay and greater complexity. Hospital mortality was 0.2%. Fractures, internal injuries and wounds were more frequent in the group of very serious injuries, and sprains and contusions in the group of minor injuries.

CONCLUSIONS

MDS records (acute hospitals and emergency resources) provide information that is complementary to other sources of information on traffic accidents, increasing the completeness of the data.

Injury Severity Score based estimation of height of fall in bus rolling down the cliff

A case of bus rollover into the canyon, 40 m down the road, with 47 occupants out of which 18 were fatally injured, was used to compute the Injury Severity Score (ISS) for each passengers as well as the equivalent free fall for this particular accident, to be compared to the height of fall as estimated by the Lau's model based on ISS, resulting the conclusion whether Lau's model and the computation of ISS can be considered reliable to estimate the height of fall in any other case. Dealing with this, we would be also able to assess a protective potential of the bus on occupants while it falls from the height. By using classic energy-related mechanical formulas the presented rollover down the cliff has been transferred into a corresponding free fall from the height (10 m). ISS for each passenger has been used to establish height bands of the corresponding free fall. The analysis of the presented case showed that only 30% of bus passengers sustained injuries similar to the injuries expected in the fall from height in the range of 10-20 m. The chances to be non-severely injured as a consequence of the fall in a bus is 43%, but still remains a very high chance (27%) to sustain injures more severe than expected for the equivalent free fall from height out of a vehicle. Moreover, eight passengers sustained pulmonary detraction which is characteristic of the fall above 40 m. The conclusion is that this mathematical computing for transferring one way of motion into another one may be useful for any other event similar to the fall from height and further usage of Lau's modules. Also, estimated severity of the injuries expressed through ISS can be merely an approximating indicator of the height of the fall of the bus, so ISS is not able to estimate the exact height. Finally, in majority of cases the protective potential of the bus may preserve from severe body damage, but the mortality rate still stands on a very high level.

Scoring systems of severity in patients with multiple trauma

Trauma is a major cause of morbidity and mortality; hence severity scales are important adjuncts to trauma care in order to characterize the nature and extent of injury. Trauma scoring models can assist with triage and help in evaluation and prediction of prognosis in order to organise and improve trauma systems. Given the wide variety of scoring instruments available to assess the injured patient, it is imperative that the choice of the severity score accurately match the application. Even though trauma scores are not the key elements of trauma treatment, they are however, an essential part of improvement in triage decisions and in identifying patients with unexpected outcomes. This article provides the reader with a compendium of trauma severity scales along with their predicted death rate calculation, which can be adopted in order to improve decision making, trauma care, research and in comparative analyses in quality assessment.

Road traffic accident: an emerging public health problem in assam

Background:

In the northern states, there is hardly any scientific study except road traffic accidents (RTAs) statistics obtained by the Ministry of Home whereas the main way of transportation is by road. There is the increasing load of motor vehicles on the already dilapidated roadways which has resulted in the increasing trend of RTAs in Assam.

Objectives:

To find out the prevalence, probable epidemiological factors and morbidity and mortality pattern due to RTAs in Dibrugarh district.

Materials and Methods:

Descriptive study was carried out in Dibrugarh district from September 1998 to August 1999 under the department of Community Medicine. The information was collected from Assam Medical College and Hospital and cross checked with the police report. A medical investigation including interview, clinical and radiological investigation was carried out; in case of fatality, post-mortem examination was examined in details. An on the spot investigation was carried out in accessible RTAs to collect the probable epidemiological factors.

Results:

RTAs affected mainly the people of productive age group which were predominantly male. Majority of the RTAs were single vehicle accidents and half of the victims were passengers. Accident rate was maximum in twilight and winter season demanding high morbidity and mortality. Head and neck, U.limb and L.limb were commonly involved.

Conclusion:

RTAs is a major public health problem in Assam which needs more scientific study.

Injury patterns of seniors in traffic accidents: A technical and medical analysis

AIM: To investigate the actual injury situation of seniors in traffic accidents and to evaluate the different injury patterns.

METHODS: Injury data, environmental circumstances and crash circumstances of accidents were collected shortly after the accident event at the scene. With these data, a technical and medical analysis was performed, including Injury Severity Score, Abbreviated Injury Scale and Maximum Abbreviated Injury Scale. The method of data collection is named the German In-Depth Accident Study and can be seen as representative.

RESULTS: A total of 4430 injured seniors in traffic accidents were evaluated. The incidence of sustaining severe injuries to extremities, head and maxillofacial region was significantly higher in the group of elderly people compared to a younger age (P < 0.05). The number of accident-related injuries was higher in the group of seniors compared to other groups.

CONCLUSION: Seniors are more likely to be involved in traffic injuries and to sustain serious to severe injuries compared to other groups.