The Impact of Under-triage on Trauma Outcomes in Older Populations ≥65 Years

2021 ◽  
pp. 000313482095145
Author(s):  
Chelsea M. Knotts ◽  
Milad Modarresi ◽  
Damayanti Samanta ◽  
Bryan K. Richmond
Keyword(s):  
Injury Severity ◽  
Vegetative State ◽  
Persistent Vegetative State ◽  
Lower Percentage ◽  
Hospital Death ◽  
Trauma Patients ◽  
Discharge Condition ◽  
Trauma Outcomes ◽  
Unfavorable Condition ◽  
The Impact

Background Undertriage of older trauma patients is implicated as a cause for outcome disparities. Undertriage is defined by an Injury Severity Score (ISS) ≥16 without full trauma activation. We hypothesized that in patients ≥65 years, undertriage is associated with unfavorable discharge. Methods This is a retrospective study of patients ≥65 years admitted at a Level 1 Trauma Center between July 2016 and June 2018 with blunt trauma. The Matrix method was used to determine the undertriage rate, and outcomes were compared between undertriaged and fully activated patients with ISS ≥16. Favorable outcomes in undertriaged patients instigated further analyses to determine factors that predicted unfavorable discharge condition, defined by discharge from the hospital with severe disability, persistent vegetative state, and in-hospital death. Results The undertriage rate was 7.9%. When compared to fully activated patients with ISS ≥16, a lower percentage of undertriaged patients were discharged in an unfavorable condition (16.6% vs 64.7%, P < .001). On the multivariate analysis, male sex (OR = 1.52), preexisting coronary artery disease (OR = 1.86), age >90 years (OR = 2.31), ISS 16-25 (OR = 3.50), Glasgow Coma Score (GCS) ≤14 (OR = 6.34), and ISS >25 (OR = 9.64) were significant independent risk factors for unfavorable discharge. Discussion The undertriage rate in patients ≥65 years was higher than the accepted standard (5%). However, undertriaged patients had better outcomes than those fully activated with ISS ≥16. Factors more predictive of unfavorable discharge condition were GCS ≤14 and ISS >25. These data suggest that ISS alone is a poor marker for assessing undertriage in older patients. Additional parameters established in this study should be considered as potential markers for better predicting outcomes in older trauma patients.

scholarly journals Validation of the BATT score for prehospital risk stratification of traumatic haemorrhagic death: usefulness for tranexamic acid treatment criteria

2021 ◽  
Vol 29 (1) ◽  
Author(s):  
Francois-Xavier Ageron ◽  
Timothy J. Coats ◽  
Vincent Darioli ◽  
Ian Roberts
Keyword(s):  
Tranexamic Acid ◽  
Acid Treatment ◽  
Injury Severity ◽  
External Validation ◽  
Research Network ◽  
Brier Score ◽  
Trauma Patients ◽  
Using Data ◽  
The Uk ◽  
The Impact

Abstract Background Tranexamic acid reduces surgical blood loss and reduces deaths from bleeding in trauma patients. Tranexamic acid must be given urgently, preferably by paramedics at the scene of the injury or in the ambulance. We developed a simple score (Bleeding Audit Triage Trauma score) to predict death from bleeding. Methods We conducted an external validation of the BATT score using data from the UK Trauma Audit Research Network (TARN) from 1st January 2017 to 31st December 2018. We evaluated the impact of tranexamic acid treatment thresholds in trauma patients. Results We included 104,862 trauma patients with an injury severity score of 9 or above. Tranexamic acid was administered to 9915 (9%) patients. Of these 5185 (52%) received prehospital tranexamic acid. The BATT score had good accuracy (Brier score = 6%) and good discrimination (C-statistic 0.90; 95% CI 0.89–0.91). Calibration in the large showed no substantial difference between predicted and observed death due to bleeding (1.15% versus 1.16%, P = 0.81). Pre-hospital tranexamic acid treatment of trauma patients with a BATT score of 2 or more would avoid 210 bleeding deaths by treating 61,598 patients instead of avoiding 55 deaths by treating 9915 as currently. Conclusion The BATT score identifies trauma patient at risk of significant haemorrhage. A score of 2 or more would be an appropriate threshold for pre-hospital tranexamic acid treatment.

National temporal variation in major trauma in England, Wales and Northern Ireland

Trauma ◽  
2021 ◽  
pp. 146040862098226
Author(s):  
Will Kieffer ◽  
Daniel Michalik ◽  
Jason Bernard ◽  
Omar Bouamra ◽  
Benedict Rogers
Keyword(s):  
Northern Ireland ◽  
Temporal Variation ◽  
Major Trauma ◽  
Injury Severity ◽  
Research Network ◽  
Trauma Patients ◽  
Trauma Outcomes ◽  
Causes Of Mortality ◽  
Injured Patients ◽  
Time Of Admission

Introduction Trauma is one of the leading causes of mortality worldwide, but little is known of the temporal variation in major trauma across England, Wales and Northern Ireland. Proper workforce and infrastructure planning requires identification of the caseload burden and its temporal variation. Materials and Methods The Trauma Audit Research Network (TARN) database for admissions attending Major Trauma Centres (MTCs) between 1st April 2011 and 31st March 2018 was analysed. TARN records data on all trauma patients admitted to hospital who are alive at the time of admission to hospital. Major trauma was classified as an Injury Severity Score (ISS) >15. Results A total of 158,440 cases were analysed. Case ascertainment was over 95% for 2013 onwards. There was a statistically significant variation in caseload by year (p < 0.0001), times of admissions (p < 0.0001), caseload admitted during weekends vs weekdays, 53% vs 47% (p < 0.0001), caseload by season with most patients admitted during summer (p < 0.0001). The ISS varied by time of admission with most patients admitted between 1800 and 0559 (p < 0.0001), weekend vs weekday with more severely injured patients admitted during the weekend (p < 0.0001) and by season p < 0.0001). Discussion and Conclusion: There is a significant national temporal variation in major trauma workload. The reasons are complex and there are multiple theories and confounding factors to explain it. This is the largest dataset for hospitals submitting to TARN which can help guide workforce and resource allocation to further improve trauma outcomes.

An Objective Study of the Impact of the Electronic Medical Record on Outcomes in Trauma Patients

2012 ◽  
Vol 78 (11) ◽  
pp. 1249-1254 ◽  
Author(s):  
Paul J. Schenarts ◽  
Claudia E. Goettler ◽  
Michael A. White ◽  
Brett H. Waibel
Keyword(s):  
Length Of Stay ◽  
Medical Record ◽  
Electronic Medical Record ◽  
Injury Severity ◽  
Unit Length ◽  
Traumatic Injury ◽  
Hospital Length Of Stay ◽  
Trauma Patients ◽  
Delay In Diagnosis ◽  
The Impact

It is commonly believed that the electronic medical record (EMR) will improve patient outcomes. However, there is scant published literature to support this claim and no studies in any surgical population. Our hypothesis was that the EMR would not improve objective outcome measures in patients with traumatic injury. Prospectively collected data from our university-based Level I trauma center was retrospectively reviewed. Demographic, injury severity as well as outcomes and complications data were compared for all patients admitted over a 20-month period before introduction of the EMR and a 20-month period after full, hospital-wide use of the EMR. Implementation of the EMR was associated with a decreased hospital length of stay, P = 0.02; intensive care unit length of stay, P = 0.001; ventilator days, P = 0.002; acute respiratory distress syndrome, P = 0.006, pneumonia, P = 0.008; myocardial infarction, P = 0.001; line infection, P = 0.03; septicemia, P = 0.000; renal failure, P = 0.000; drug complication, P = 0.001; and delay in diagnosis, P = 0.04. There was no difference in mortality, unexpected cardiac arrest, missed injury, pulmonary embolism/deep vein thrombosis, or late urinary tract infection. This is the first study to investigate the impact of the EMR in surgical patients. Although there was an improvement in some complications, the overall impact was inconsistent.

Early versus Late Tracheostomy: Is There an Outcome Difference?

2019 ◽  
Vol 85 (4) ◽  
pp. 370-375 ◽  
Author(s):  
Adel Elkbuli ◽  
Raed Ismail Narvel ◽  
Paul J. Spano ◽  
Valerie Polcz ◽  
Astrid Casin ◽  
...  
Keyword(s):  
Traumatic Brain Injury ◽  
Brain Injury ◽  
Glasgow Coma Scale ◽  
Primary Outcome ◽  
Injury Severity ◽  
Future Research ◽  
Trauma Patients ◽  
Early Tracheostomy ◽  
Outcome Difference ◽  
The Impact

The effect of timing in patients requiring tracheostomy varies in the literature. The purpose of this study was to evaluate the impact of early tracheostomy on outcomes in trauma patients with and without traumatic brain injury (TBI). This study is a four-year review of trauma patients undergoing tracheostomy. Patients were divided into two groups based on TBI/non-TBI. Each group was divided into three subgroups based on tracheostomy timing: zero to three days, four to seven days, and greater than seven days postadmission. TBI patients were stratified by the Glasgow Coma Scale (GCS), and non-TBI patients were stratified by the Injury Severity Score (ISS). The primary outcome was ventilator-free days (VFDs). Significance was defined as P < 0.05. Two hundred eighty-nine trauma patients met the study criteria: 151 had TBI (55.2%) versus 138 (47.8%) non-TBI. There were no significant differences in demographics within and between groups. In TBI patients, statistically significant increases in VFDs were observed with GCS 13 to 15 for tracheostomies performed in four to seven versus greater than seven days ( P = 0.005). For GCS <8 and 8 to 12, there were significant increases in VFDs for tracheostomies performed at days 1 to 3 and 4 to 7 versus greater than seven days (P << 0.05 for both). For non-TBI tracheostomies, only ISS ≥ 25 with tracheostomies performed at zero to three days versus greater than seven days was associated with improved VFDs. Early tracheostomies in TBI patients were associated with improved VFDs. In trauma patients with no TBI, early tracheostomy was associated with improved VFDs only in patients with ISS ≥ 25. Future research studies should investigate reasons TBI and non-TBI patients may differ.

scholarly journals Higher Mortality Rate in Moderate-to-Severe Thoracoabdominal Injury Patients with Admission Hyperglycemia Than Nondiabetic Normoglycemic Patients

2019 ◽  
Vol 16 (19) ◽  
pp. 3562
Author(s):  
Wei-Ti Su ◽  
Shao-Chun Wu ◽  
Sheng-En Chou ◽  
Chun-Ying Huang ◽  
Shiun-Yuan Hsu ◽  
...  
Keyword(s):  
Mortality Rate ◽  
Injury Severity ◽  
Burn Injury ◽  
Past History ◽  
Trauma Patients ◽  
Thoracoabdominal Injuries ◽  
History Of ◽  
Level 1 ◽  
The Impact ◽  
Level 1 Trauma Center

Background: Hyperglycemia at admission is associated with an increase in worse outcomes in trauma patients. However, admission hyperglycemia is not only due to diabetic hyperglycemia (DH), but also stress-induced hyperglycemia (SIH). This study was designed to evaluate the mortality rates between adult moderate-to-severe thoracoabdominal injury patients with admission hyperglycemia as DH or SIH and in patients with nondiabetic normoglycemia (NDN) at a level 1 trauma center. Methods: Patients with a glucose level ≥200 mg/dL upon arrival at the hospital emergency department were diagnosed with admission hyperglycemia. Diabetes mellitus (DM) was diagnosed when patients had an admission glycohemoglobin A1c ≥6.5% or had a past history of DM. Admission hyperglycemia related to DH and SIH was diagnosed in patients with and without DM. Patients who had a thoracoabdominal Abbreviated Injury Scale score <3, a polytrauma, a burn injury and were below 20 years of age were excluded. A total of 52 patients with SIH, 79 patients with DH, and 621 patients with NDN were included from the registered trauma database between 1 January 2009, and 31 December 2018. To reduce the confounding effects of sex, age, comorbidities, and injury severity of patients in assessing the mortality rate, different 1:1 propensity score-matched patient populations were established to assess the impact of admission hyperglycemia (SIH or DH) vs. NDN, as well as SIH vs. DH, on the outcomes. Results: DH was significantly more frequent in older patients (61.4 ± 13.7 vs. 49.8 ± 17.2 years, p < 0.001) and in patients with higher incidences of preexisting hypertension (2.5% vs. 0.3%, p < 0.001) and congestive heart failure (3.8% vs. 1.9%, p = 0.014) than NDN. On the contrary, SIH had a higher injury severity score (median [Q1–Q3], 20 [15–22] vs. 13 [10–18], p < 0.001) than DH. In matched patient populations, patients with either SIH or DH had a significantly higher mortality rate than NDN patients (10.6% vs. 0.0%, p = 0.022, and 5.3% vs. 0.0%, p = 0.043, respectively). However, the mortality rate was insignificantly different between SIH and DH (11.4% vs. 8.6%, odds ratio, 1.4; 95% confidence interval, 0.29–6.66; p = 0.690). Conclusion: This study revealed that admission hyperglycemia in the patients with thoracoabdominal injuries had a higher mortality rate than NDN patients with or without adjusting the differences in patient’s age, sex, comorbidities, and injury severity.

Are there Field Triage Criteria that Can Predict Low-Yield Air Medical Transports?

2019 ◽  
Vol 34 (6) ◽  
pp. 596-603
Author(s):  
Hiroko Miyagi ◽  
David C. Evans ◽  
Howard A. Werman
Keyword(s):  
Trauma Center ◽  
Early Discharge ◽  
Hospital Death ◽  
Trauma Patients ◽  
Trauma Centers ◽  
Predictive Values ◽  
Field Triage ◽  
Number Of Patients ◽  
Medical Transport ◽  
The Impact

AbstractIntroduction:Air medical transport of trauma patients from the scene of injury plays a critical role in the delivery of severely injured patients to trauma centers. Over-triage of patients to trauma centers reduces the system efficiency and jeopardizes safety of air medical crews.Hypothesis:The objective of this study was to determine which triage factors utilized by Emergency Medical Services (EMS) providers are strong predictors of early discharge for trauma patients transported by helicopter to a trauma center.Methods:A retrospective chart review over a two-year period was performed for trauma patients flown from the injury site into a Level I trauma center by an air medical transport program. Demographic and clinical data were collected on each patient. Prehospital factors such as Glasgow Coma Score (GCS), Revised Trauma Score (RTS), intubation status, mechanism of injury, anatomic injuries, physiologic parameters, and any combinations of these factors were investigated to determine which triage criteria accurately predicted early discharge. Hospital factors such as Injury Severity Score (ISS), length-of-stay (LOS), survival, and emergency department disposition were also collected. Early discharge was defined as a hospital stay of less than 24 hours in a patient who survives their injuries. A more stringent definition of appropriate triage was defined as a patient with in-hospital death, an ISS >15, those taken to the operating room (OR) or intensive care unit (ICU), or those receiving blood products. Those patients who failed to meet these criteria were also used to determine over-triage rates.Results:An overall early discharge rate of 35% was found among the study population. Furthermore, when the more stringent definition was applied, over-triage rates were as high as 85%. Positive predictive values indicated that patients who met at least one anatomic and physiologic criteria were appropriately transported by helicopter as 94% of these patients had stays longer than 24 hours. No other criteria or combination of criteria had a high predictive value for early discharge.Conclusions:No individual triage criteria or combination of criteria examined demonstrated the ability to uniformly predict an early discharge. Although helicopter transport and subsequent hospital care is costly and resource consuming, it appears that a significant number of patients will be discharged within 24 hours of their transport to a trauma center. Future studies must determine the impact of eliminating “low-yield” triage criteria on under-triage of scene trauma patients.

Medication Errors in Injured Patients

2017 ◽  
Vol 83 (7) ◽  
pp. 780-785 ◽  
Author(s):  
Scott C. Dolejs ◽  
Christopher F. Janowak ◽  
Ben L. Zarzaur
Keyword(s):  
Medication Error ◽  
Patient Outcomes ◽  
Medication Errors ◽  
Injury Severity ◽  
Trauma Patients ◽  
Lengths Of Stay ◽  
Scale Scores ◽  
Level I ◽  
Injured Patients ◽  
The Impact

Trauma patients are vulnerable to medication error given multiple handoffs throughout the hospital. The purpose of this study was to assess trends in medication errors in trauma patients and the role these errors play in patient outcomes. Injured adults admitted from 2009 to 2015 to a Level I trauma center were included. Medication errors were determined based on a nurse-driven, validated, and prospectively maintained database. Multivariable logistic regression modeling was used to control for differences between groups. Among 15,635 injured adults admitted during the study period, 132 patients experienced 243 errors. Patients who experienced errors had significantly worse injury severity, lower Glasgow Coma Scale scores and higher rates of hypotension on admission, and longer lengths of stay. Before adjustment, mortality was similar between groups but morbidity was higher in the medication error group. After risk adjustment, there were no significant differences in morbidity or mortality between the groups. Medication errors in trauma patients tend to occur in significantly injured patients with long hospital stays. Appropriate adjustment when studying the impact of medical errors on patient outcomes is important.

scholarly journals Development of prediction model for trauma assessment using electronic medical records

2020 ◽  
Author(s):  
Kentaro Ogura ◽  
Tadahiro Goto ◽  
Toru Shirakawa ◽  
Tomohiro Sonoo ◽  
Hidehiko Nakano ◽  
...  
Keyword(s):  
Prediction Model ◽  
Electronic Medical Records ◽  
Medical Records ◽  
Injury Severity ◽  
Care Center ◽  
Predictive Performance ◽  
Mortality Prediction ◽  
Hospital Death ◽  
Trauma Patients ◽  
Clinical Diagnoses

Abbreviated Injury Score (AIS) and Injury Severity Score (ISS) scores are used to measure the severity of trauma patients in the emergency department, but they have several problems such as a calculation complexity. In this study, we developed a mortality prediction model of trauma patients using the data from electronic medical records and compared it with a model using AIS/ISS scores. This is a prognostic study using the data of patients who were admitted to Hitachi General Hospital Emergency and Critical Care Center from April 2018 to March 2019. The features were age, sex, vital signs, and clinical diagnoses, and the outcome was in-hospital death. Of 337 eligible patients, 11 died during the hospitalization. The predictive performance of our model was comparable to that of the AIS/ISS scores model (AUC 0.912 vs 0.961). Clinical diagnoses were important in predicting the mortality rate. Our study suggests that a trauma severity index calculated by the predicting model using information from electronic medical records might replace AIS/ISS score.

Application of a Geriatric Injury Protocol Demonstrates High Survival Rates for Geriatric Trauma Patients with High Injury Acuity

2017 ◽  
Vol 83 (10) ◽  
pp. 1122-1126
Author(s):  
Tigran Karamanukyan ◽  
Andrea Pakula ◽  
Maureen Martin ◽  
Ashwitha Francis ◽  
Ruby Skinner
Keyword(s):  
Injury Severity ◽  
Survival Rates ◽  
Geriatric Trauma ◽  
Study Cohort ◽  
High Survival ◽  
Trauma Patients ◽  
Advanced Directives ◽  
Severity Scores ◽  
The Mean ◽  
The Impact

Geriatric trauma has historically been associated with poor outcomes, particularly in the setting of severe polytrauma. Although geriatric trauma protocols are common, there are limited data on their impact in patients with high injury severity. In this study, we sought to investigate the impact of a geriatric injury protocol on outcomes in patients with severe trauma acuity. Ninety-eight geriatric patients (age ≥65) admitted to our trauma center with injury severity scores (ISS) ≥15 comprised the study cohort. The mean age was 75 ± 7.7 yrs. The mean ISS was 25 ± 9.2, and the mean geriatric trauma outcome score was 150 ± 3. Mortality was 17 per cent and 70 per cent were due to central nervous system injury. When patients with nonsurvivable injuries or advanced directives resulting in early care withdrawal were excluded, the mortality was 6 per cent. Extremes of age did not impact mortality [(>80 years, 21%) vs (65–79, 16%, P = 0.5)]. Most patients (53%) were discharged home. The application of our geriatric trauma protocol led to favorable results despite high injury acuity. These data suggest that even at the extremes of age, a large percentage of patients can be expected to survive. A prospective validation of these findings is warranted.

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