Effect of private versus emergency medical systems transportation in trauma patients in a mostly physician based system- a retrospective multicenter study based on the TraumaRegister DGU®

Are geriatric transfer patients with traumatic brain injury at risk for worse outcomes compared to non-geriatric? Propensity-matched study

OBJECTIVE

To compare outcomes between geriatric and non-geriatric patients with traumatic brain injury (TBI) transferred to trauma center and effects of anticoagulants/antiplatelets (AC/AP) and reversal therapy.

METHODS

A retrospective review of 1,118 patients with TBI transferred from acute care facilities to level 1 trauma center compared in groups: geriatric versus non-geriatric, geriatric with AC/AP therapy versus without, and geriatric AC/AP with AC/AP reversal therapy versus without.

RESULTS

Patients with TBI constituted 54.4% of trauma transfers. Mean transfer time was 3.9 h. Propensity matched by Injury Severity Score and Abbreviated Injury Score (AIS) head geriatric compared to non-geriatric patients had more AC/AP use (53.9% vs 8.8%), repeat head computed tomography (93.7% vs 86.1%), intensive care unit (ICU) admissions (57.4% vs 45.7%) and mortality (9.8% vs 3.2%), all p < 0.004. Patients on AC/AP versus without had more ICU admissions (69.1% vs 51.8%, p < 0.001). Patients with AC/AP reversals compared to without reversals had more AIS head 5 (32.0% vs 13.1%), brain surgeries (17.8% vs 3.5%) and ICU admissions (84.8% vs 57.1%), all p < 0.001.

CONCLUSION

TBI constituted half of trauma transfers and 10% required surgery. Based on higher ICU admissions, mortality, and prevalence of AC/AP therapy requiring reversal, geriatric patients with TBI on anticoagulants/antiplatelets should be considered for direct trauma center admission.

Traumatic Brain Injury Cases' Mortality Predictors, Association, and Outcomes in the Emergency Department at a Tertiary Healthcare Center in Saudi Arabia

Aim Incidence of traumatic brain injury (TBI) in Saudi Arabia has been estimated to be 116 per 1,00,000 population as incidence of TBI continues to rise in our region. We aim to study the demographics, mortality predictors, and factors influencing the outcome of TBI cases in a tertiary care center in Jeddah, Saudi Arabia.

Materials and Methods We retrospectively collected data from all consecutive patients treated at the Emergency Department of King Abdulaziz Medical City including all acute TBI adult cases (>18 years) from 2016 to 2019. Logistic regression models were used to identify significant predictors of mortality. A total of 423 individuals with TBI were enrolled in the study. Nearly, half of them were in age group of 18 to 29 (40.77). Most patients were males (76.83%).

Results Injuries were most commonly mild-to-moderate TBI (73.83%). Road traffic accident was the most common mechanism of injury (49.7%) followed by fall (39.5%). Most common mode of transportation was private cars (47.57%). Most patient required less than or equal to24hours of admission (61.23%). A total of 30 (7%) died in the hospital all of which were male with no death cases reported among females.

Conclusion In conclusion, this study reports a mortality rate related to TBI that is among the lowest in the region. Injuries were male predominant with more balanced male to female ratio. Patients who were delivered to the hospital via private cars had an improved survival. These finding should be interpreted in the context of retrospective noncontrolled study design, and further future studies are encouraged to consolidate these findings.

Examining emergency medical services' prehospital transport times for trauma patients during COVID-19

Introduction

Longer prehospital times were associated with increased odds for survival in trauma patients. The purpose of this study was to determine how the COVID-19 pandemic affected emergency medical services (EMS) prehospital times for trauma patients.

Methods

This retrospective cohort study compared trauma patients transported via EMS to six US level I trauma centers admitted 1/1/19–12/31/19 (2019) and 3/16/20–6/30/20 (COVID-19). Outcomes included: total EMS pre-hospital time (dispatch to hospital arrival), injury to dispatch time, response time (dispatch to scene arrival), on-scene time (scene arrival to scene departure), and transportation time (scene departure to hospital arrival). Fisher's exact, chi-squared, or Kruskal-Wallis tests were used, alpha = 0.05. All times are presented as median (IQR) minutes.

Results

There were 9400 trauma patients transported by EMS: 79% in 2019 and 21% during the COVID-19 pandemic. Patients were similar in demographics and transportation mode. Emergency room deaths were also similar between 2019 and COVID-19 [0.6% vs. 0.9%, p = 0.13].There were no differences between 2019 and during COVID-19 for total EMS prehospital time [44 (33, 63) vs. 43 (33, 62), p = 0.12], time from injury to dispatch [16 (6, 55) vs. 16 (7, 77), p = 0.41], response time [7 (5, 12) for both groups, p = 0.27], or on-scene time [16 (12−22) vs. 17 (12,22), p = 0.31]. Compared to 2019, transportation time was significantly shorter during COVID-19 [18 (13, 28) vs. 17 (12, 26), p = 0.01].

Conclusion

The median transportation time for trauma patients was marginally significantly shorter during COVID-19; otherwise, EMS prehospital times were not significantly affected by the COVID-19 pandemic.

The association between hospital arrival time, transport method, prehospital time intervals, and in-hospital mortality in trauma patients presenting to Khayelitsha Hospital, Cape Town

INTRODUCTION

Trauma is a leading cause of unnatural death and disability in South Africa. The aim of the study was to determine whether method of transport, hospital arrival time or prehospital transport time intervals were associated with in-hospital mortality among trauma patients presenting to Khayelitsha Hospital, a district-level hospital on the outskirts of Cape Town, South Africa.

METHODS

The Khayelitsha Hospital Emergency Centre database was retrospectively analysed for trauma-related patients presenting to the resuscitation area between 1 November 2014 and 30 April 2015. Missing data and additional variables were collected by means of a chart review. Eligible patients' folders were scrutinised for hospital arrival time, transport time intervals, transport method and in-hospital mortality. Descriptive statistics were presented for all variables. Categorical data were analysed using the Fisher's Exact test and Chi-square, continuous data by logistic regression and the Mann Whitney test. A confidence interval of 95% was used to describe variance and a p-value of <0.05 was deemed significant.

RESULTS

The majority of patients were 19-44 year old males (n = 427, 80.3%) and penetrating trauma the most frequent mechanism of injury (n = 343, 64.5%). In total, 258 (48.5%) patients arrived with their own transport, 254 (47.7%) by ambulance and 20 (3.8%) by the police service. The arrival of trauma patients peaked during the weekend, and was especially noticeable between midnight and six a.m. In-hospital mortality (n = 18, 3.4%) was not significantly affected by transport method (p = 0.26), hospital arrival time (p = 0.22) or prehospital transport time intervals (all p-values >0.09).

DISCUSSION

Method of transport, hospital arrival time and prehospital transport time intervals did not have a substantially measurable effect on in-hospital mortality. More studies with larger samples are suggested due to the small event rate.

The impact of the patient's initial NACA score on subjective and physiological indicators of workload during pre-hospital emergency care

BACKGROUND

Excessive workload may impair patient safety. However, little is known about emergency care providers' workload during the treatment of life-threatening cases including cardiopulmonary resuscitation (CPR). Therefore, we tested the hypothesis that subjective and physiological indicators of workload are associated with the patient's initial NACA score and that workload is particularly high during CPR.

METHODS

NASA task load index (NASA-tlx) and alarm codes were obtained for 216 sorties of pre-hospital emergency medical care. Furthermore, initial NACA scores of 140 patients were extracted from the physicians' protocols. The physiological workload indicators mean heart rate (HR) and permutation entropy (PeEn) were calculated for 51 sorties of primary care. General linear mixed models were used to analyze the association of NACA scores with subjective (NASA-tlx) and physiological (mean HR, PeEn) measures of workload.

RESULTS

In contrast to the physiological variables PeEn (p = 0.10) and HR (p = 0.19), the mental (p<0.001) and temporal demands (p<0.001) as well as the effort (p<0.001) and frustration (p = 0.04) subscale of the NASA-tlx were significantly associated with initial NACA scores. Compared to NACA = I, an initial NACA score of VI (representing CPR) increased workload by a mean of 389.5% (p = 0.001) in the mental and 345.9% (p<0.001) in the temporal demands, effort by a mean of 446,8% (p = 0.002) and frustration by 190.0% (p = 0.03). In line with the increase in NASA-tlx, PeEn increased by 20.6% (p = 0.01) and HR by 6.4% (p = 0.57).

CONCLUSIONS

Patients' initial NACA scores are associated with subjective workload. Workload was highest during CPR.

Association between the mode of transport and in-hospital medical complications in trauma patients: findings from a level-I trauma center in Saudi Arabia

BACKGROUND

In Saudi Arabia, injury is the leading cause of death. Even if nonfatal, the impact of injuries on population health is enormous, as thousands of young patients suffer permanent disabilities every year. Unlike in developed countries, private transportation (PT) is a common means to transport trauma patients. Outcome differences between patients transported via PT relative to emergency medical services (EMS) has not been previously explored.

OBJECTIVES

To evaluate the association between transportation mode and in-hospital complications among trauma patients.

DESIGN

Retrospective.

SETTING

Tertiary care center.

PATIENTS AND METHODS

The study included all patients (>=16 years), who were admitted following trauma.

MAIN OUTCOME MEASURES

The main outcome in the study was the occurrence of any medical complications including stroke, sepsis, myocardial infarction, pulmonary embolism, pneumonia, renal failure, acute respiratory distress syndrome, and cardiac arrest.

RESULTS

The 493 patients were relatively young (over two-thirds of the sample were 45 years old or younger) and over half the population sustained injuries due traffic crashes. More than half (58%) of patients arrived via private transportation. Regression analyses revealed that in-hospital complications following injuries were significantly lower among those who arrived via PT. However, after incorporating propensity score matching, we found no difference in hospital complications (OR=0.55, 95% CI 0.25-1.17).

CONCLUSION

Multiple factors may influence this unexpected finding, such as distance to health care set.tings, the belief that PT is faster or lack of knowledge of the EMS contact number. Further efforts are needed to raise awareness of the importance of using EMS to transport trauma patients to hospitals. Prevention programs to reduce traffic crashes may facilitate reduction in traumatic injuries and associated complications.

LIMITATIONS

Retrospective and conducted in one center only.

The validity of linear and non-linear heart rate metrics as workload indicators of emergency physicians

Background

It has been shown that linear and non-linear heart rate variability (HRV) metrics are suitable to assess workload of anesthetists administering anesthesia. In pre-hospital emergency care, these parameters have not yet been evaluated. We hypothesized that heart rate (HR) and HRV metrics discriminate between differing workload levels of an emergency physician.

Methods

Electrocardiograms were obtained from 13 emergency physicians. Mean HR, ten linear and seven non-linear HRV metrics were analyzed. For each sortie, four different levels of workload were defined. Mixed-effects models and the area under the receiver operating characteristics curve (AUC) were used to test and quantify the HR and HRV metrics’ ability to discriminate between levels of workload. This was conducted for mean HR and each HRV metric as well as for groups of metrics (time domain vs. frequency domain vs. non-linear metrics).

Results

The non-linear HRV metric Permutation entropy (PeEn) discriminated best between the time before the alarm and primary patient care (AUC = 0.998, 1st rank of 18 HRV metrics). In contrast, AUC of the mean HR was low (0.558, 17th rank). In the multivariable approach, the non-linear HRV metrics provided a higher AUC (0.998) compared to the frequency domain (0.677) and to the time domain metrics (0.680).

Conclusion

Non-linear heart rate metrics and, specifically, PeEn provided good validity for the assessment of different levels of a physician’s workload in the setting of pre-hospital emergency care. In contradiction to earlier findings, the physicians’ mean HR was not a valid marker of workload.

Can we rely on out-of-hospital blood samples? A prospective interventional study on the pre-analytical stability of blood samples under prehospital emergency medicine conditions

Background

Prehospital intravenous access provides the opportunity to sample blood from an emergency patient at the earliest possible moment in the course of acute illness and in a state prior to therapeutic interventions. Our study investigates the pre-analytical stability of biomarkers in prehospital emergency medicine and will answer the question whether an approach of blood sampling out in the field will deliver valid laboratory results.

Methods

We prepared pairs of blood samples from healthy volunteers and volunteering patients post cardio-thoracic surgery. While one sample set was analysed immediately, the other one was subjected to a worse-than-reality treatment of 60 min time-lapse and standardized mechanical forces outside of the hospital through actual ambulance transport. We investigated 21 parameters comprising blood cells, coagulation tests, electrolytes, markers of haemolysis and markers of cardiac ischemia. Bland-Altman analysis was used to investigate differences between test groups. Differences between test groups were set against the official margins of test accuracy as given by the German Requirements for Quality Assurance of Medical Laboratory Examinations.

Results

Agreement between immediate analysis and our prehospital treatment is high as demonstrated by Bland-Altman plotting. Mechanical stress and time delay do not produce a systematic bias but only random inaccuracy. The limits of agreement for the tested parameters are generally within clinically acceptable ranges of variation and within the official margins as set by the German Requirements for Quality Assurance of Medical Laboratory Examinations.

Discussion

We subjected blood samples to a standardized treatment marking a worse-than-reality scenario of prehospital time delay and transport. Biomarkers including indicators of myocardial ischemia showed high pre-analytical stability.

Conclusion

We conclude the validity of blood samples from a prehospital environment.

Electronic supplementary material

The online version of this article (doi:10.1186/s13049-017-0371-3) contains supplementary material, which is available to authorized users.