Multicenter Evaluation of the Course of Coagulopathy in Patients with Isolated Traumatic Brain Injury:Relation to CT Characteristics and Outcome

This prospective multicenter study investigated the association of the course of coagulation abnormalities with initial computed tomography (CT) characteristics and outcome in patients with isolated traumatic brain injury (TBI). Patient demographics, coagulation parameters, CT characteristics, and outcome data of moderate and severe TBI patients without major extracranial injuries were prospectively collected. Coagulopathy was defined as absent, early but temporary, delayed, or early and sustained. Delayed/sustained coagulopathy was associated with a higher incidence of disturbed pupillary responses (40% versus 27%; p<0.001) and higher Traumatic Coma Data Bank (TCDB) CT classification (5 (2-5) versus 2 (1-5); p=0.003) than in patients without or with early, but short-lasting coagulopathy. The initial CT of patients with delayed/sustained coagulopathy more frequently showed intracranial hemorrhage and signs of raised intracranial pressure (ICP) compared to patients with early coagulopathy only. This was paralleled by higher in-hospital mortality rates (51% versus 33%; p<0.05), and poorer 6-month functional outcome in patients with delayed/sustained coagulopathy. The relative risk for in-hospital mortality was particularly related to disturbed pupillary responses (OR 8.19; 95% CI 3.15,21.32; p<0.001), early, short-lasting coagulopathy (OR 6.70; 95% CI 1.74,25.78; p=0.006), or delayed/sustained coagulopathy (OR 5.25; 95% CI 2.06,13.40; p=0.001). Delayed/sustained coagulopathy is more frequently associated with CT abnormalities and unfavorable outcome at 6 months after TBI than early, short-lasting coagulopathy. Our finding that not only the mere presence but also the time course of coagulopathy holds predictive value for patient outcome underlines the importance of systematic hemostatic monitoring over time in TBI

Adjusting for confounding by indication in observational studies: a case study in traumatic brain injury.

INTRODUCTION: Observational studies of interventions are at risk for confounding by indication. The objective of the current study was to define the circumstances for the validity of methods to adjust for confounding by indication in observational studies. PATIENTS AND METHODS: We performed post hoc analyses of data prospectively collected from three European and North American traumatic brain injury studies including 1,725 patients. The effects of three interventions (intracranial pressure [ICP] monitoring, intracranial operation and primary referral) were estimated in a proportional odds regression model with the Glasgow Outcome Scale as ordinal outcome variable. Three analytical methods were compared: classical covariate adjustment, propensity score matching and instrumental variable (IV) analysis in which the percentage exposed to an intervention in each hospital was added as an independent variable, together with a random intercept for each hospital. In addition, a simulation study was performed in which the effect of a hypothetical beneficial intervention (OR 1.65) was simulated for scenarios with and without unmeasured confounders. RESULTS: For all three interventions, covariate adjustment and propensity score matching resulted in negative estimates of the treatment effect (OR ranging from 0.80 to 0.92), whereas the IV approach indicated that both ICP monitoring and intracranial operation might be beneficial (OR per 10% change 1.17, 95% CI 1.01-1.42 and 1.42, 95% CI 0.95-1.97). In our simulation study, we found that covariate adjustment and propensity score matching resulted in an invalid estimate of the treatment effect in case of unmeasured confounders (OR ranging from 0.90 to 1.03). The IV approach provided an estimate in the similar direction as the simulated effect (OR per 10% change 1.04-1.05) but was statistically inefficient. CONCLUSION: The effect estimation of interventions in observational studies strongly depends on the analytical method used. When unobserved confounding and practice variation are expected in observational multicenter studies, IV analysis should be considered

Limitations in Prehospital Communication Between Trauma Helicopter, Ambulance Services, and Dispatch Centers

Background Prehospital communication with Emergency Medical Services (EMS) is carried out in hectic situations. Proper communication among all medical personal is required to enhance collaboration, to provide the best care and enable shared situational awareness. Objective The objective of this article was to give insight into current Dutch prehospital emergency care communication among all EMS and evaluate the usage of a new physician staffed helicopter EMS (P-HEMS) cancellation model. Methods Trauma-related P-HEMS dispatches between November 1, 2014 and May 31, 2015 for the Lifeliner 1 were included; a random sample of 100 dispatches was generated. Tape recordings on all verbal prehospital communication between the dispatch center, EMS, and P-HEMS were transcribed and analyzed. Qualitative content analysis was performed, using open coding to code key messages. Results Ninety-two tape recordings were analyzed. The most frequent reason for P-HEMS dispatch was suspicion of brain injury (24%). The cancellation model was followed in 66%, overruled in 9%, and not applicable in 25%. The main reason for not adhering to the model was hemodynamic stability. In 5% of P-HEMS dispatches, a complete ABCD (airway, breathing, circulation, disability) methodology was used for handover, in 9% a complete Situation-Background-Assessment-Recommendation technique, in 2% a complete Mechanism-Injuries-Signs-Treatment method was used. The other handovers were incomplete. Conclusions Prehospital handover between EMS on-scene and P-HEMS often entails insufficient information. The cancellation model for P-HEMS is frequently used and promotes adequate information transfer. To increase joined decision-making, more patient and situational information needs to be handed over. Standardization of prehospital trauma handovers will facilitate this and improve trauma patient's outcome

Saved from a fatal flight: A ruptured splenic artery aneurysm in a pregnant woman

Introduction: The reported prevalence of a SAA varies between 0.01 and 10.4% [1], and since SAAs often remain asymptomatic, the true prevalence is uncertain. The reported SAAs occur more frequently in younger patients, with 58% diagnosed in women of childbearing age; 95% of these are diagnosed during pregnancy. Presentation of case: A 26-year-old woman, thirty-one weeks pregnant, was about to board an airplane for a three hour flight from the Netherlands to Turkey. Just before entering the plane, she suddenly felt a severe abdominal pain. Ultrasound guided aspiration of the abdominal fluid showed blood and supported the decision to perform urgent laparotomy. A caesarean section was performed. After further inspection a ruptured SAA was encountered. The splenic artery was ligated proximally and distally to the rupture in order to stop the bleeding. As the hilar localization of the aneurysm interfered with a primary vascular reconstruction, a splenectomy was performed. The mother and baby survived. Discussion: Although rupture of a SAA is rare, its consequences can be devastating for both mother and child. The literature shows a higher incidence of ruptured SAA in pregnant women, although there is a difficulty in recognizing hemodynamic instability in pregnancy due to the increase in circulating volume. Conclusion: In case of pregnant women with acute abdomen and hypovolemia, emergency physicians, surgeons, anesthesiologists, and gynecologists should be aware of the possibility of a ruptured SAA, apart from more common causes like placental abruption, placenta percreta, or uterine rupture. Early recognition and prompt multidisciplinary treatment might save the life of mother and child

Causes and Consequences of Treatment Variation in Moderate and Severe Traumatic Brain Injury: A Multicenter Study

Objectives: Although guidelines have been developed to standardize care in traumatic brain injury, between-center variation in treatment approach has been frequently reported. We examined variation in treatment for traumatic brain injury by assessing factors influencing treatment and the association between treatment and patient outcome. Design: Secondary analysis of prospectively collected data. Setting: Five level I trauma centers in the Netherlands (2008-2009). Patients: Five hundred three patients with moderate or severe traumatic brain injury (Glasgow Coma Scale, 3-13). Interventions: We examined variation in seven treatment parameters: direct transfer, involvement of mobile medical team, mechanical ventilation, intracranial pressure monitoring, vasopressors, acute neurosurgical intervention, and extracranial operation. Measurements and Main Results: Data were collected on patient characteristics, treatment, and 6-month Glasgow Outcome Scale-Extended. Multivariable logistic regression models were used to assess the extent to which treatment was determined by patient characteristics. To examine whether there were between-center differences in treatment, we used unadjusted and adjusted random effect models with the seven treatment parameters as dependent variables. The influence of treatment approach in a center (defined as aggressive and non aggressive based on the frequency intracranial pressure monitoring) on outcome was assessed using multivariable random effect proportional odds regression models in those patients with an indication for intracranial pressure monitoring. Sensitivity analyses were performed to test alternative definitions of aggressiveness. Treatment was modestly related to patient characteristics (Nagelkerke R-2 range, 0.12-0.52) and varied widely among centers, even after case-mix correction. Outcome was more favorable in patients treated in aggressive centers than those treated in nonaggressive centers (OR, 1.73; 95% CI, 1.05-3.15). Sensitivity analyses, however, illustrated that the aggressiveness-outcome association was dependent on the definition used. Conclusions: The considerable between-center variation in treatment for patients with brain injury can only partly be explained by differences in patient characteristics. An aggressive treatment approach may imply better outcome although further confirmation is required. (Crit Care Med 2017; 45:660-669

Granulocyte colony-stimulating factor mobilized whole blood containing over 0.3 × 106/kg CD34+ cells is a sufficient graft in autologous transplantation for relapsed non-Hodgkin's lymphoma

The feasibility of unprocessed, granulocyte colony-stimulating factor (G-CSF)-mobilized whole blood (WB) as an alternative stem cell source for autologous stem cell transplantation was studied. Forty-seven relapsed non-Hodgkin's lymphoma (NHL) patients entered the study. After two or three ifosfamide, methotrexate and etoposide (IMVP) courses, 1 l of G-CSF-mobilized WB was collected and stored refrigerated for 72 h. Meanwhile, BAM conditioning was given: BCNU (carmustine) 300 mg/m(2), high-dose cytarabine 6000 mg/m(2) and melphalan 140 mg/m(2). Toxicity, haematological recovery and survival were assessed and compared with peripheral blood stem cell transplantation (PBSCT) and bone marrow transplantation (BMT) reference groups. High-dose G-CSF (2 x 12 microg/kg/d) gave the best mobilization results. Haematological recovery was related to the WB CD34+ content. A CD34+ threshold of >or= 0.3 10(6)/kg, obtained in 90% of patients using high-dose G-CSF, correlated with adequate recovery: absolute neutrophil count (ANC) > 0.5 x 10(9)/l: median 12 d (range 9-19). Platelet recovery > 20 and > 50 x 10(9)/l was 19 (11-59) and 30 d (14 not reached) respectively. Overall survival of patients or= 0.3 x 10(6)/kg CD34+ cells after BAM conditioning is a safe procedure, and offers a fully equivalent and less costly alternative for PBSC

Prognosis in moderate and severe traumatic brain injury:External validation of the IMPACT models and the role of extracranial injuries

<p>BACKGROUND: Several prognostic models to predict outcome in traumatic brain injury (TBI) have been developed, but few are externally validated. We aimed to validate the International Mission on Prognosis and Analysis of Clinical Trials in TBI (IMPACT) prognostic models in a recent unselected patient cohort and to assess the additional prognostic value of extracranial injury.</p><p>METHODS: The Prospective Observational COhort Neurotrauma (POCON) registry contains 508 patients with moderate or severe TBI, who were admitted in 2008 and 2009 to five trauma centers in the Netherlands. We predicted the probability of mortality and unfavorable outcome at 6 months after injury with the IMPACT prognostic models. We studied discrimination (area under the curve [AUC]) and calibration. We added the extracranial component of the Injury Severity Score (ISS) to the models and calculated the increase in AUC.</p><p>RESULTS: The IMPACT models had an adequate discrimination in the POCON registry, with AUCs in the external validation between 0.85 and 0.90 for mortality and between 0.82 and 0.87 for unfavorable outcome. Observed outcomes agreed well with predicted outcomes. Adding extracranial injury slightly improved predictions in the overall population (unfavorable outcome: AUC increase of 0.002, p = 0.02; mortality: AUC increase of 0.000, p = 0.37) but more clearly in patients with moderate TBI (unfavorable outcome: AUC increase of 0.008, p <0.01, mortality: AUC increase of 0.012, p = 0.02) and patients with minor computed tomographic result abnormalities (unfavorable outcome: AUC increase of 0.013, p <0.01; mortality: AUC increase of 0.001, p = 0.08).</p><p>CONCLUSION: The IMPACT models performed well in a recent series of TBI patients. We found some additional impact of extracranial injury on outcome, specifically in patients with less severe TBI or minor computed tomographic result abnormalities. (J Trauma Acute Care Surg. 2013;74: 639-646. Copyright (C) 2013 by Lippincott Williams & Wilkins)</p>

Smartwatch based automatic detection of out-of-hospital cardiac arrest: Study rationale and protocol of the HEART-SAFE project

Out-of-hospital cardiac arrest (OHCA) is a leading cause of mortality. Immediate detection and treatment are of paramount importance for survival and good quality of life. The first link in the ‘chain of survival’ after OHCA – the early recognition and alerting of emergency medical services – is at the same time the weakest link as it entirely depends on witnesses. About one half of OHCA cases are unwitnessed, and victims of unwitnessed OHCA have virtually no chance of survival with good neurologic outcome. Also in case of a witnessed cardiac arrest, alerting of emergency medical services is often delayed for several minutes. Therefore, a technological solution to automatically detect cardiac arrests and to instantly trigger an emergency response has the potential to save thousands of lives per year and to greatly improve neurologic recovery and quality of life in survivors. The HEART-SAFE consortium, consisting of two academic centres and three companies in the Netherlands, collaborates to develop and implement a technical solution to reliably detect OHCA based on sensor signals derived from commercially available smartwatches using artificial intelligence. In this manuscript, we describe the rationale, the envisioned solution, as well as a protocol outline of the work packages involved in the development of the technology