scholarly journals A Comparative Study of Injury Severity Scales as Predictors of Mortality in Trauma Patients: Which Scale Is the Best?

2020 ◽  
Vol 8 (1) ◽  
pp. 27-33
Author(s):  
Mahnaz Yadollahi ◽  
Ali Kashkooe ◽  
Reza Rezaiee ◽  
Kazem Jamali ◽  
Mohammad Hadi Niakan
Keyword(s):  
Comparative Study ◽  
Injury Severity ◽  
Trauma Patients ◽  
Predictors Of Mortality

scholarly journals Independent Predictors of Mortality in Torso Trauma Injuries

2020 ◽  
Vol 9 (10) ◽  
pp. 3202
Author(s):  
Roberto Bini ◽  
Caterina Accardo ◽  
Stefano Granieri ◽  
Fabrizio Sammartano ◽  
Stefania Cimbanassi ◽  
...  
Keyword(s):  
Trauma Center ◽  
Injury Severity ◽  
Demographic Data ◽  
Trauma Patients ◽  
Related Condition ◽  
Predictors Of Mortality ◽  
Risk Of Death ◽  
Therapeutic Procedures ◽  
Torso Trauma ◽  
Enhanced Computed Tomography

Noncompressible torso injuries (NCTIs) represent a trauma-related condition with high lethality. This study’s aim was to identify potential prediction factors of mortality in this group of trauma patients at a Level 1 trauma center in Italy. Materials and Methods: A total of 777 patients who had sustained a noncompressible torso injury (NCTI) and were admitted to the Niguarda Trauma Center in Milan from 2010 to 2019 were included. Of these, 166 patients with a systolic blood pressure (SBP) <90 mmHg were considered to have a noncompressible torso hemorrhage (NCTH). Demographic data, mechanism of trauma, pre-hospital and in-hospital clinical conditions, diagnostic/therapeutic procedures, and survival outcome were retrospectively recorded. Results: Among the 777 patients, 69% were male and 90.2% sustained a blunt trauma with a median age of 43 years. The comparison between survivors and non-survivors pointed out a significantly lower pre-hospital Glasgow coma scale (GCS) and SBP (p < 0.001) in the latter group. The multivariate backward regression model identified age, pre-hospital GCS and injury severity score (ISS) (p < 0.001), pre-hospital SBP (p = 0.03), emergency department SBP (p = 0.039), performance of torso contrast enhanced computed tomography (CeCT) (p = 0.029), and base excess (BE) (p = 0.008) as independent predictors of mortality. Conclusions: Torso trauma patients who were hemodynamically unstable in both pre- and in-hospital phases with impaired GCS and BE had a greater risk of death. The detection of independent predictors of mortality allows for the timely identification of a subgroup of patients whose chances of survival are reduced.

Predictors of Mortality in Trauma Patients Aged 80 years or Older

2016 ◽  
Vol 82 (10) ◽  
pp. 926-929 ◽  
Author(s):  
Kyle Mock ◽  
Jessica Keeley ◽  
Ashkan Moazzez ◽  
David S. Plurad ◽  
Brant Putnam ◽  
...  
Keyword(s):  
Mechanical Ventilation ◽  
Injury Severity ◽  
Univariate Analysis ◽  
The United States ◽  
Geriatric Trauma ◽  
Trauma Patients ◽  
Inhospital Mortality ◽  
Predictors Of Mortality ◽  
Trauma Outcome ◽  
Level 1 Trauma Center

The population of the United States is predicted to age dramatically over the next few decades; as such older patients will comprise an increasing proportion of the injured populations. Due to multiple comorbidities and frailty, the old and very old are at greater risk for mortality than younger patients. To identify predictors of inhospital mortality in these patients, we performed a retrospective cohort study at our Level 1 trauma center. Between April 2009 and October 2014, we identified 193 trauma patients aged 80 years and older admitted to the intensive care unit. The mean age was 86 years old (4.9) and a majority of patients were white (57%) and male (54%). Univariate analysis found Injury Severity Score ( P < 0.01), initial Glasgow Coma Scale ( P < 0.01), admission pH ( P = <0.01), admission lactate ( P < 0.01), the need for mechanical ventilation ( P < 0.01), and Geriatric Trauma Outcome Score ( P < 0.01) to be predictors of mortality. Multivariate analysis identified length of mechanical ventilation [odds ratio (OR) = 0.73, 95% confidence interval (CI) = 0.60–0.90, P < 0.01], admission lactate (OR = 1.74, 95% CI = 1.21–2.51, P < 0.01), and the need for mechanical ventilation (OR = 18.2, 95% CI = 3.33–99.8, P < 0.01) as independent predictors of mortality. These predictors can help guide clinical decisions and should prompt early discussion of goals of care. The association between mechanical ventilation and mortality is confounded by withdrawal of care.

One Elevated Bladder Pressure Measurement May Not be Enough to Diagnose Abdominal Compartment Syndrome

2013 ◽  
Vol 79 (2) ◽  
pp. 135-139 ◽  
Author(s):  
Andrew Joseph Young ◽  
William Weber ◽  
Luke Wolfe ◽  
Rao R. Ivatury ◽  
Therese Marie Duane
Keyword(s):  
Logistic Regression ◽  
Compartment Syndrome ◽  
Abdominal Compartment Syndrome ◽  
Injury Severity ◽  
Bladder Pressure ◽  
Trauma Patients ◽  
Severely Injured ◽  
Predictors Of Mortality ◽  
Lengths Of Stay ◽  
Abdominal Compartment

Bladder pressure measurements (BPMs) are considered a key component in the diagnosis of abdominal compartment syndrome (ACS). The purpose of this observational review was to determine risk factors of ACS and associated mortality with particular focus on the role of BPM. A retrospective trauma registry and chart review was performed on trauma patients from January 2003 through December 2010. Comparisons were made between patients with and without ACS. There were 3172 patients included in the study of whom 46 had ACS. Patients with ACS were younger, more severely injured, with longer lengths of stay. Logistic regression determined Injury Severity Score (ISS) and urinary catheter days as independent predictors of ACS, whereas independent predictors of mortality included age, ISS, and ACS. Subset analysis demonstrated no association between BPM 20 mmHg or greater and diagnosis of ACS versus no ACS. Logistic regression indicated independent predictors of mortality were number of BPM 20 mmHg or greater and age. Patients with ACS are more severely injured with worse outcomes. An isolated BPM 20 mmHg or greater was not associated with ACS and may be inadequate to independently diagnose ACS. These findings suggest the need for repeat measurements with early intervention if they remain elevated in an effort to decrease mortality associated with ACS.

Air medical versus ground transport of pediatric trauma patients: A comparative study of injury severity

1995 ◽  
Vol 14 (3) ◽  
pp. 160
Author(s):  
R.F. Lavery ◽  
B.J. Tortella ◽  
J.T. Sambol ◽  
K. Cudihy ◽  
G. Nadzim
Keyword(s):  
Comparative Study ◽  
Injury Severity ◽  
Pediatric Trauma ◽  
Trauma Patients

scholarly journals Expression of HO1 and PER2 can predict the incidence of delirium in trauma patients with concomitant brain injury

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Matti Steimer ◽  
Sandra Kaiser ◽  
Felix Ulbrich ◽  
Johannes Kalbhenn ◽  
Hartmut Bürkle ◽  
...  
Keyword(s):  
Brain Injury ◽  
Injury Severity ◽  
Kidney Injury ◽  
Diagnostic Tools ◽  
Heme Oxygenase 1 ◽  
Trauma Patients ◽  
Independent Manner ◽  
Equal Distribution ◽  
Expression Levels ◽  
Trauma Severity

AbstractIntensive care unit (ICU)-acquired delirium is associated with adverse outcome in trauma patients with concomitant traumatic brain injury (TBI), but diagnosis remains challenging. Quantifying circadian disruption by analyzing expression of the circadian gene period circadian regulator 2 (PER2) and heme oxygenase 1 (HO1), which determines heme turnover, may prove to be potential diagnostic tools. Expression of PER2 and HO1 was quantified using qPCR from blood samples 1 day and 7 days after trauma. Association analysis was performed comparing mRNA expression levels with parameters of trauma (ISS—injury severity score), delirium, acute kidney injury (AKI) and length of ICU stay. 48 polytraumatized patients were included (equal distribution of TBI versus non-TBI) corrected for ISS, age and gender using a matched pairs approach. Expression levels of PER2 and HO1 were independent of age (PER2: P = 0.935; HO1: P = 0.988), while expression levels were significantly correlated with trauma severity (PER2: P = 0.009; HO1: P < 0.001) and longer ICU length of stay (PER2: P = 0.018; HO1: P < 0.001). High expression levels increased the odds of delirium occurrence (PER2: OR = 4.32 [1.14–13.87]; HO1: OR = 4.50 [1.23–14.42]). Patients with TBI showed a trend towards elevated PER2 (OR = 3.00 [0.84–9.33], P = 0.125), but not towards delirium occurrence (P = 0.556). TBI patients were less likely to develop AKI compared to non-TBI (P = 0.022). Expression levels of PER2 and HO1 correlate with the incidence of delirium in an age-independent manner and may potentially improve diagnostic algorithms when used as delirium biomarkers.Trial registration: German Clinical Trials Register (Trial-ID DRKS00008981; Universal Trial Number U1111-1172-6077; Jan. 18, 2018).

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.

scholarly journals Trauma resource pit stop: increasing efficiency in the evaluation of lower severity trauma patients

2021 ◽  
Vol 6 (1) ◽  
pp. e000670
Author(s):  
Imad S Dandan ◽  
Gail T Tominaga ◽  
Frank Z Zhao ◽  
Kathryn B Schaffer ◽  
Fady S Nasrallah ◽  
...  
Keyword(s):  
Injury Severity ◽  
Diagnostic Testing ◽  
Trauma Team ◽  
Hospital Length ◽  
Hospital Length Of Stay ◽  
Trauma Patients ◽  
Level Of Evidence ◽  
Evaluation Time ◽  
Retrospective Comparison ◽  
Trauma Bay

BackgroundOvertriage of trauma patients is unavoidable and requires effective use of hospital resources. A ‘pit stop’ (PS) was added to our lowest tier trauma resource (TR) triage protocol where the patient stops in the trauma bay for immediate evaluation by the emergency department (ED) physician and trauma nursing. We hypothesized this would allow for faster diagnostic testing and disposition while decreasing cost.MethodsWe performed a before/after retrospective comparison after PS implementation. Patients not meeting trauma activation (TA) criteria but requiring trauma center evaluation were assigned as a TR for an expedited PS evaluation. A board-certified ED physician and trauma/ED nurse performed an immediate assessment in the trauma bay followed by performance of diagnostic studies. Trauma surgeons were readily available in case of upgrade to TA. We compared patient demographics, Injury Severity Score, time to physician evaluation, time to CT scan, hospital length of stay, and in-hospital mortality. Comparisons were made using 95% CI for variance and SD and unpaired t-tests for two-tailed p values, with statistical difference, p<0.05.ResultsThere were 994 TAs and 474 TRs in the first 9 months after implementation. TR’s preanalysis versus postanalysis of the TR group shows similar mean door to physician evaluation times (6.9 vs. 8.6 minutes, p=0.1084). Mean door to CT time significantly decreased (67.7 vs. 50 minutes, p<0.001). 346 (73%) TR patients were discharged from ED; 2 (0.4%) were upgraded on arrival. When admitted, TR patients were older (61.4 vs. 47.2 years, p<0.0001) and more often involved in a same-level fall (59.5% vs. 20.1%, p<0.0001). Undertriage was calculated using the Cribari matrix at 3.2%.DiscussionPS implementation allowed for faster door to CT time for trauma patients not meeting activation criteria without mobilizing trauma team resources. This approach is safe, feasible, and simultaneously decreases hospital cost while improving allocation of trauma team resources.Level of evidenceLevel II, economic/decision therapeutic/care management study.

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.

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