Traumas cause great casualties, accompanied by heavy economic burdens every year. The study aimed to use ML (machine learning) survival algorithms for predicting the 8-and 24-hour survival of severe ...traumas.
A retrospective study using data from National Trauma Data Bank (NTDB) was conducted. Four ML survival algorithms including survival tree (ST), random forest for survival (RFS) and gradient boosting machine (GBM), together with a Cox proportional hazard model (Cox), were utilized to develop the survival prediction models. Following this, model performance was determined by the comparison of the C-index, integrated Brier score (IBS) and calibration curves in the test datasets.
A total of 191,240 individuals diagnosed with severe trauma between 2015 and 2018 were identified. Glasgow Coma Scale (GCS), trauma type, age, SaO
, respiratory rate (RR), systolic blood pressure (SBP), EMS transport time, EMS on-scene time, pulse, and EMS response time were identified as the main predictors. For predicting the 8-hour survival with the complete cases, the C-indexes in the test sets were 0.853 (0.845, 0.861), 0.823 (0.812, 0.834), 0.871 (0.862, 0.879) and 0.857 (0.849, 0.865) for Cox, ST, RFS and GBM, respectively. Similar results were observed in the 24-hour survival prediction models. The prediction error curves based on IBS also showed a similar pattern for these models. Additionally, a free web-based calculator was developed for potential clinical use.
The RFS survival algorithms provide non-parametric alternatives to other regression models to be of clinical use for estimating the survival probability of severe trauma patients.
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EMUNI, FIS, FZAB, GEOZS, GIS, IJS, IMTLJ, KILJ, KISLJ, MFDPS, NLZOH, NUK, OBVAL, OILJ, PNG, SAZU, SBCE, SBJE, SBMB, SBNM, UKNU, UL, UM, UPUK, VKSCE, ZAGLJ
A relative hypovolemia occurs during septic shock (SS); the early phase is clinically reflected by tachycardia and low blood pressure. In the prehospital setting, simple objective tools to assess ...hypovolemia severity are needed to optimize triaging.
The aim of this study was to evaluate the relationship between shock index (SI), diastolic SI (DSI), modified SI (MSI), and age SI (ASI) and 28-day mortality of patients with SS initially cared for in a prehospital setting of a mobile intensive care unit (MICU).
From April 6, 2016 through December 31, 2021, 530 patients with SS cared for at a prehospital MICU were analyzed retrospectively. Initial SI, MSI, DSI, and ASI values, that is, first measurement after MICU arrival to the scene were calculated. A propensity score analysis with inverse probability of treatment weighting (IPTW) method was used to assess the relationship between SI, DSI, MSI, and ASI and 28-day mortality.
SS resulted mainly from pulmonary, digestive, and urinary infections in 44%, 25%, and 17% of patients. The 28-day overall mortality was 31%. IPTW propensity score analysis indicated a significant relationship between 28-day mortality and SI (adjusted odds ratio aOR 1.13; 95% CI 1.01–1.26; p = 0.04), DSI (aOR 1.16; 95% CI 1.06–1.34; p = 0.03), MSI (aOR 1.03; 95% CI 1.01–1.17; p = 0.03), and ASI (aOR 3.62; 95% CI 2.63–5.38; p < 10–6).
SI, DSI, MSI, and ASI were significantly associated with 28-day mortality among patients with SS cared for at a prehospital MICU. Further studies are needed to confirm the usefulness of SI and SI derivates for prehospital SS optimal triaging.
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GEOZS, IJS, IMTLJ, KILJ, KISLJ, NLZOH, NUK, OILJ, PNG, SAZU, SBCE, SBJE, UILJ, UL, UM, UPCLJ, UPUK, ZAGLJ, ZRSKP
Background
Fatal trauma is one of the leading causes of death in Western industrialized countries. The aim of the present study was to determine the preventability of traumatic deaths, analyze the ...medical measures related to preventable deaths, detect management failures, and reveal specific injury patterns in order to avoid traumatic deaths in Berlin.
Materials and methods
In this prospective observational study all autopsied, direct trauma fatalities in Berlin in 2010 were included with systematic data acquisition, including police files, medical records, death certificates, and autopsy records. An interdisciplinary expert board judged the preventability of traumatic death according to the classification of non-preventable (NP), potentially preventable (PP), and definitively preventable (DP) fatalities.
Results
Of the fatalities recorded, 84.9 % (
n
= 224) were classified as NP, 9.8 % (
n
= 26) as PP, and 5.3 % (
n
= 14) as DP. The incidence of severe traumatic brain injury (sTBI) was significantly lower in PP/DP than in NP, and the incidence of fatal exsanguinations was significantly higher. Most PP and NP deaths occurred in the prehospital setting. Notably, no PP or DP was recorded for fatalities treated by a HEMS crew. Causes of DP deaths consisted of tension pneumothorax, unrecognized trauma, exsanguinations, asphyxia, and occult bleeding with a false negative computed tomography scan.
Conclusions
The trauma mortality in Berlin, compared to worldwide published data, is low. Nevertheless, 15.2 % (
n
= 40) of traumatic deaths were classified as preventable. Compulsory training in trauma management might further reduce trauma-related mortality. The main focus should remain on prevention programs, as the majority of the fatalities occurred as a result of non-survivable injuries.
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EMUNI, FZAB, GIS, IJS, KILJ, NLZOH, NUK, OILJ, SAZU, SBCE, SBMB, SBNM, UL, UM, UPUK
Assessment of disease severity in patients with septic shock (SS) is crucial in determining optimal level of care. In both pre- and in-hospital settings, blood lactate measurement is broadly used in ...combination with the clinical evaluation of patients as the clinical picture alone is not sufficient for assessing disease severity and outcomes.
From 15th April 2017 to 15th April 2019, patients with SS requiring prehospital mobile Intensive Care Unit intervention (mICU) were prospectively included in this observational study. Prehospital blood lactate clearance was estimated by the difference between prehospital (time of first contact between the patients and the mICU prior to any treatment) and in-hospital (at hospital admission) blood lactate levels divided by prehospital blood lactate.
Among the 185 patients included in this study, lactate measurement was missing for six (3%) in the prehospital setting and for four (2%) at hospital admission, thus 175 (95%) were analysed for prehospital blood lactate clearance (mean age 70 ± 14 years). Pulmonary, digestive and urinary infections were probably the cause of the SS in respectively 56%, 22% and 10% of the cases. The 30-day overall mortality was 32%.
Mean prehospital blood lactate clearance was significantly different between patients who died and those who survived (respectively 0.41 ± 2.50 mmol.l−1 vs 1.65 ± 2.88 mmol.l−1, p = 0.007).
Cox regression analysis showed that 30-day mortality was associated with prehospital blood lactate clearance > 10% (HRa CI95 = 0.49 0.26–0.92, p = 0.028) and prehospital blood lactate clearance < 10% (HRa CI95 = 2.04 1.08–3.84, p = 0.028).
A prehospital blood lactate clearance < 10% is associated with 30-day mortality increase in patients with SS handled by the prehospital mICU. Further studies will be needed to evaluate if prehospital blood lactate clearance alone or combined with clinical scores could affected the triage decision-making process for those patients.
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GEOZS, IJS, IMTLJ, KILJ, KISLJ, NLZOH, NUK, OILJ, PNG, SAZU, SBCE, SBJE, UILJ, UL, UM, UPCLJ, UPUK, ZAGLJ, ZRSKP
Stroke screening tools should have good diagnostic performance for early diagnosis and a proper therapeutic plan. This paper describes and compares various diagnostic tools used to identify stroke in ...emergency departments and prehospital setting.
The meta-analysis was conducted according to the Preferred Reporting Items for a Systematic Review and Meta-analysis of Diagnostic Test Accuracy Studies (PRISMA-DTA) guidelines. The PubMed and Scopus databases were searched until December 31, 2021, for studies published on stroke screening tools. These tools' diagnostic performance (sensitivity and specificity) was pooled using a bivariate random-effects model whenever appropriate.
Eleven screening tools for stroke were identified in 29 different studies. The various tools had a wide range of sensitivity and specificity in different studies. In the meta-analysis, the Cincinnati Pre-hospital Stroke Scale, Face Arm Speech Test, and Recognition of Stroke in the Emergency Room (ROSIER) had sensitivity (between 83 and 91%) but poor specificity (all below 64%). When comparing all the tools, ROSIER had the highest sensitivity 90.5%. Los Angeles Pre-hospital Stroke Screen performed best in terms of specificity 88.7% but had low sensitivity (73.9%). Melbourne Ambulance Stroke Screen had a balanced performance in terms of sensitivity (86%) and specificity (76%). Sensitivity analysis consisting of only prospective studies showed a similar range of sensitivity and specificity.
All the stroke screening tools included in the review were comparable, but no clear superior screening tool could be identified. Simple screening tools like Cincinnati prehospital stroke scale (CPSS) have similar performance compared to more complex tools.
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GEOZS, IJS, IMTLJ, KILJ, KISLJ, NLZOH, NUK, OILJ, PNG, SAZU, SBCE, SBJE, UILJ, UL, UM, UPCLJ, UPUK, ZAGLJ, ZRSKP
Status epilepticus (SE) is a neurological emergency due to prolonged seizure activity or multiple seizures without full recovery in between them. Prehospital SE management is crucial since its ...duration is correlated with higher morbidity and mortality rates. We examined the impact of different therapeutic strategies in the prehospital setting with a focus on levetiracetam.
We initiated the Project for SE in Cologne, a scientific association of all neurological departments of Cologne, the fourth-largest city in Germany with around 1,000,000 inhabitants. All patients with an SE diagnosis were evaluated over 2 years (from March 2019 to February 2021) to determine whether prehospital levetiracetam use had a significant effect on SE parameters.
We identified 145 patients who received initial drug therapy in the prehospital setting by professional medical staff. Various benzodiazepine (BZD) derivatives were used as first-line treatments, which were mostly used in line with the recommended guidelines. Levetiracetam was regularly used (
=42) and mostly in combination with BZDs, but no significant additional effect was observed for intravenous levetiracetam. However, it appeared that the administered doses tended to be low.
Levetiracetam can be applied to adults with SE in prehospital settings with little effort. Nevertheless, the prehospital treatment regimen described here for the first time did not significantly improve the preclinical cessation rate of SE. Future therapy concepts should be based on this, and the effects of higher doses should in particular be reexamined.
Septic shock (SS) is associated with high morbidity and mortality rate. Early antibiotic therapy administration in septic patients was shown to reduce mortality but its impact on mortality in a ...prehospital setting is still under debate. To clarify this point, we performed a retrospective analysis on patients with septic shock who received antibiotics in a prehospital setting. Methods: From April 15
th
, 2017 to March 1
st
, 2020, patients with septic shock requiring Mobile Intensive Care Unit (MICU) intervention were retrospectively analyzed to assess the impact of prehospital antibiotic therapy administration on a 30-day mortality. Results: Three-hundred-eight patients with septic shock requiring MICU intervention in the prehospital setting were analyzed. The mean age of the study population was 70 ± 15 years. Presumed origin of SS was mainly pulmonary (44%), digestive (21%) or urinary (19%) infection. Overall 30-day mortality was 29%. Ninety-eight (32%) patients received antibiotic therapy. Using Cox regression analysis, we showed that prehospital antibiotic therapy significantly reduces 30-day mortality for patients with septic shock (hazard ratio = 0.56, 95%CI 0.35-0.89, p = 0.016). Conclusion: In this retrospective study, prehospital antibiotic therapy reduces 30-day mortality of septic shock patients cared for by MICU. Further studies will be needed to confirm the beneficial effect of prehospital antibiotic therapy in association or not with prehospital hemodynamic optimization to improve the survival of septic shock patients.
Septic shock (SS) is characterized by low blood pressure resulting in organ failure and poor prognosis. Among SS treatments, in hospital studies reported a beneficial effect of early hemodynamic ...resuscitation on mortality rate.
This study aims to investigate the relationship between prehospital hemodynamic optimisation and 30-day mortality in patients with SS.
From April 6th, 2016 to December 31th, 2019, patients with SS requiring prehospital Mobile Intensive Care Unit intervention (mICU) were included. Prehospital hemodynamic optimisation was defined as a arterial blood pressure of >65 mmHg, or >75 mmHg if previous hypertension history, at the end of the prehospital stage.
Three hundred thirty-seven patients were retrospectively analysed. The mean age was 69 ± 15 years, and 226 patients (67%) were male. One hundred and thirty-six patients (40%) had previous hypertension history. Pulmonary, digestive and urinary infections were the suspected cause of the SS in respectively 46%, 23% and 15% of the cases. 30-day overall mortality was 30%.
Prehospital hemodynamic optimisation was complete for 204 patients (61%). Cox regression analysis reports a significant association between prehospital hemodynamic optimisation and 30-day mortality (HRa = 0.52 95%CI 0.31–0.86, p = 0.01).
In this study, we report that prehospital hemodynamic optimisation is associated with a decrease in 30-day mortality in patients with SS cared for by a mICU in the prehospital setting. An individualized mean arterial pressure target, based on previous hypertension history, may be considered from the prehospital stage of SS resuscitation.
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GEOZS, IJS, IMTLJ, KILJ, KISLJ, NLZOH, NUK, OILJ, PNG, SAZU, SBCE, SBJE, UILJ, UL, UM, UPCLJ, UPUK, ZAGLJ, ZRSKP
Despite differences in time of sepsis recognition, recent studies support that early initiation of norepinephrine in patients with septic shock (SS) improves outcome without an increase in adverse ...effects. This study aims to investigate the relationship between 30-day mortality in patients with SS and prehospital norepinephrine infusion in order to reach a mean blood pressure (MAP) > 65 mmHg at the end of the prehospital stage.
From April 06th, 2016 to December 31th, 2020, patients with SS requiring prehospital Mobile Intensive Care Unit intervention (MICU) were retrospectively analysed. To consider cofounders, the propensity score method was used to assess the relationship between prehospital norepinephrine administration in order to reach a MAP > 65 mmHg at the end of the prehospital stage and 30-day mortality.
Four hundred and seventy-eight patients were retrospectively analysed, among which 309 patients (65%) were male. The mean age was 69 ± 15 years. Pulmonary, digestive, and urinary infections were suspected among 44%, 24% and 17% patients, respectively. One third of patients (n = 143) received prehospital norepinephrine administration with a median dose of 1.0 0.5-2.0 mg h
, among which 84 (69%) were alive and 38 (31%) were deceased on day 30 after hospital-admission. 30-day overall mortality was 30%. Cox regression analysis after the propensity score showed a significant association between prehospital norepinephrine administration and 30-day mortality, with an adjusted hazard ratio of 0.42 0.25-0.70, p < 10
. Multivariate logistic regression of IPTW retrieved a significant decrease of 30-day mortality among the prehospital norepinephrine group: ORa = 0.75 0.70-0.79, p < 10
.
In this study, we report that prehospital norepinephrine infusion in order to reach a MAP > 65 mmHg at the end of the prehospital stage is associated with a decrease in 30-day mortality in patients with SS cared for by a MICU in the prehospital setting. Further prospective studies are needed to confirm that very early norepinephrine infusion decreases septic shock mortality.
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DOBA, IZUM, KILJ, NUK, PILJ, PNG, SAZU, SIK, UILJ, UKNU, UL, UM, UPUK
Introduction: The Israeli Defense Forces Medical Corps (IDF-MC) implemented the use of low-titer group O whole blood (LTOWB) as the first-choice resuscitation fluid in the IDF airborne Combat Search ...and Rescue Unit (IDF-CSAR) for aerial evacuation of both military and civilian casualties in June 2018 for injured patients with hemorrhagic shock and at least one of the following: systolic blood pressure <90 mm Hg, heart rate >130 beats/min, deterioration of consciousness without head injury or hemoglobin concentration ≤7 g/dL. Method: All casualties treated with LTOWB by IDF-CSAR providers from June 2018 to January 2021 were included. Demographic and prehospital treatment data were collected in order to check compliance and adherence to the IDF-MC guidelines. This is a follow-up retrospective report. Results: Overall, 1,608 LTOWB units were supplied to the IDF-CSAR during the study period. Of these, 33 were transfused to 27 casualties; 17 (69%) with blunt injury, 8 (29.6%) with penetrating injuries, and 1 (3.7%) with gastrointestinal bleeding without trauma. The leading cause of injury was motor vehicle accidents. A total of 23 casualties received 1 unit of LTOWB, 3 received 2 units and 1 patient received 4 units. Two casualties were children. The median heart rate was 120 beats/min, 8 (29.6%) casualties had heart rates >130 beats/min. Median systolic blood pressure was 95 mm Hg, 7 (26%) casualties had blood pressure <90 mm Hg. The median Glasgow Coma Score was 14. No adverse reactions were documented following the administration of LTOWB. 77.8% of patients received LTOWB in adherence to the guidelines. Conclusion: Appropriate administration of LTOWB has improved over time in IDF-CSAR. Using LTOWB is feasible and simpler than administering packed red blood cells and plasma concurrently. Further efforts are needed to introduce LTOWB in other prehospital and in-hospital scenarios, with an increase in the maximum antibody titer threshold, to meet the expected increase in demand.
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