Approximately five million individuals have traumatic injuries annually. Implementing prehospital blood-component transfusion (PHBT), encompassing packed red blood cells (p-RBCs), plasma, or platelets, facilitates early hemostatic volume replacement following trauma. The lack of uniform PHBT guidelines persists, relying on diverse parameters and physician experience.

This study aims to evaluate the efficacy of various components of PHBT, including p-RBCs and plasma, on mortality and hematologic-related outcomes in traumatic patients.

A comprehensive search strategy was executed to identify pertinent literature comparing the transfusion of p-RBCs, plasma, or a combination of both with standard resuscitation care in traumatized patients. Eligible studies underwent independent screening, and pertinent data were systematically extracted. The analysis employed pooled risk ratios (RR) for dichotomous outcomes and mean differences (MD) for continuous variables, each accompanied by their respective 95% confidence intervals (CI).

Forty studies were included in the qualitative analysis, while 26 of them were included in the quantitative analysis. Solely P-RBCs alone or combined with plasma showed no substantial effect on 24-hour or long-term mortality (RR = 1.13; 95% CI, 0.68 - 1.88; P = .63). Conversely, plasma transfusion alone exhibited a 28% reduction in 24-hour mortality with a RR of 0.72 (95% CI, 0.53 - 0.99; P = .04). In-hospital mortality and length of hospital stay were mostly unaffected by p-RBCs or p-RBCs plus plasma, except for a notable three-day reduction in length of hospital stay with p-RBCs alone (MD = -3.00; 95% CI, -5.01 to -0.99; P = .003). Hematological parameter analysis revealed nuanced effects, including a four-unit increase in RBC requirements with p-RBCs (MD = 3.95; 95% CI, 0.69 - 7.21; P = .02) and a substantial reduction in plasma requirements with plasma transfusion (MD = -0.73; 95% CI, -1.28 to -0.17; P = .01).

This study revealed that plasma transfusion alone was associated with a substantial decrease in 24-hour mortality. Meanwhile, p-RBCs alone or combined with plasma did not significantly impact 24-hour or long-term mortality. In-hospital mortality and length of hospital stay were generally unaffected by p-RBCs or p-RBCs plus plasma, except for a substantial reduction in length of hospital stay with p-RBCs alone.

Terrorism and trauma survivors often experience changes in biomarkers of autonomic, inflammatory and hypothalamic-pituitary-adrenal (HPA) axis assessed at various times. Research suggests interactions of these systems in chronic stress.

This unprecedented retrospective study explores long-term stress biomarkers in three systems in terrorism survivors.

Sixty healthy, direct terrorism survivors were compared to non-exposed community members for cardiovascular reactivity to a trauma script, morning salivary cortisol, interleukin 1-β (IL-1β), and interleukin 2-R (IL-2R). Survivors’ biomarkers were correlated with psychiatric symptoms and diagnoses and reported functioning and well-being seven years after the Oklahoma City (OKC) bombing.

Main outcome measures were the Diagnostic Interview Schedule (DIS) Disaster Supplement for Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition, Text Revision (DSM-IV-TR) diagnoses, Impact of Events Scale-Revised (IES-R), Beck Depression Inventory-II (BDI-II), Distress and Functioning Scale (DAF), and General Physical Well-Being Scale.

Survivors had higher inflammatory IL-1β, lower anti-inflammatory IL-2R, lower cortisol, higher resting diastolic blood pressure (BP), and less cardiovascular reactivity to a trauma script than comparisons. Survivors’ mean posttraumatic stress (PTS) symptom levels did not differ from comparisons, but survivors reported worse well-being. None of survivors’ biomarkers correlated with PTS or depressive symptoms or diagnoses or reported functioning.

Alterations of biological stress measures in cardiovascular, inflammatory, and cortisol systems coexisted as an apparent generalized long-term response to terrorism rather than related to specific gauges of mental health. Potential interactions of biomarkers long after trauma exposure is discussed considering relevant research. Longer-term follow-up could determine whether biomarkers continue to differ or correlate with subjective measures, or if they accompany health problems over time. Given recent international terrorism, understanding long-term sequelae among direct survivors is increasingly relevant.

The mortality and morbidity due to road traffic crashes (RTCs) are increasing drastically world-wide. Poor prehospital care management contributes to dismal patient outcomes, especially in low- and middle-income countries (LMICs). This study aimed to assess the knowledge, attitude, and self-reported practice (KAP) of providing first aid for RTC victims by commercial motorcyclists. In addition, it determined the relationship between sociodemographic characteristics and the level of KAP, then the predicting factors of outcome variables.

A cross-sectional study of 200 randomly selected commercial motorcyclists was conducted in May 2021. A chi-square test and multivariate analysis were used to analyze data.

The findings showed that most participants had a poor knowledge level (87.5 %), positive attitudes (74.5%), and poor self-reported practice (51.5%). Previous first-aid training and knowing an emergency call number for the police were predictors of good knowledge (AOR = 3.7064; 95% CI, 1.379-9.956 and AOR = 6.132; 95% CI,1.735-21.669, respectively). Previous first-aid training was also a predictor of positive attitudes (AOR = 3.087; 95% CI, 1.033-9.225). Moreover, the likelihood of having an excellent self-reported practice was less among participants under 40 years of age (AOR = 0.404; 95% CI, 0.182-0.897) and those who cared for up to five victims (AOR = 0.523; 95% CI, 0.282-0.969). Contrary, previous first-aid training (AOR = 2.410; 95% CI, 1.056-5.499) and educational level from high school and above increased the odds of having good self-reported practice (AOR = 2.533; 95% CI, 1.260-5.092).

Considering the study findings, training should be provided to improve the knowledge and skills of commercial motorcyclists since they are among the primary road users in Rwanda and involved in RTCs.

Passive oxygenation with non-rebreather face mask (NRFM) has been used during cardiac arrest as an alternative to positive pressure ventilation (PPV) with bag-valve-mask (BVM) to minimize chest compression disruptions. A dual-channel pharyngeal oxygen delivery device (PODD) was created to open obstructed upper airways and provide oxygen at the glottic opening. It was hypothesized for this study that the PODD can deliver oxygen as efficiently as BVM or NRFM and oropharyngeal airway (OPA) in a cardiopulmonary resuscitation (CPR) manikin model.

Oxygen concentration was measured in test lungs within a resuscitation manikin. These lungs were modified to mimic physiologic volumes, expansion, collapse, and recoil. Automated compressions were administered. Five trials were performed for each of five arms: (1) CPR with 30:2 compression-to-ventilation ratio using BVM with 15 liters per minute (LPM) oxygen; continuous compressions with passive oxygenation using (2) NRFM and OPA with 15 LPM oxygen, (3) PODD with 10 LPM oxygen, (4) PODD with 15 LPM oxygen; and (5) control arm with compressions only.

Mean peak oxygen concentrations were: (1) 30:2 CPR with BVM 49.3% (SD = 2.6%); (2) NRFM 47.7% (SD = 0.2%); (3) PODD with 10 LPM oxygen 52.3% (SD = 0.4%); (4) PODD with 15 LPM oxygen 62.7% (SD = 0.3%); and (5) control 21% (SD = 0%). Oxygen concentrations rose rapidly and remained steady with passive oxygenation, unlike 30:2 CPR with BVM, which rose after each ventilation and decreased until the next ventilation cycle (sawtooth pattern, mean concentration 40% [SD = 3%]).

Continuous compressions and passive oxygenation with the PODD resulted in higher lung oxygen concentrations than NRFM and BVM while minimizing CPR interruptions in a manikin model.

Drowning remains a significant cause of mortality among children world-wide, making prevention strategies crucial. The World Health Organization (WHO) recommends training children in safe rescue techniques, including the use of basic skills such as throwing floating objects. This study aims to address a knowledge gap regarding the throwing capabilities of children aged six to twelve using conventional and alternative water rescue materials.

A total of 374 children aged six to twelve years participated in the study, including both males and females. A randomized crossover approach was used to compare throws with conventional rescue material (ring buoy and rescue tube) to an alternative material (polyethylene terephthalate [PET]-bottle). Throwing distance and accuracy were assessed based on age, sex, and the type of rescue tools used.

Children of all ages were able to throw the PET-bottle significantly farther than both the ring buoy (P <.001; d = 1.19) and the rescue tube (P <.001; d = 0.60). There were no significant differences (P = .414) in the percentage of children who managed to throw each object accurately.

Conventional rescue materials, particularly the ring buoy, may not be well-suited for long-distance throws by children. In contrast, lighter and smaller alternatives, such as PET-bottles, prove to be more adaptable to children’s characteristics, enabling them to achieve greater throwing distances. The emphasis on cost-effective and easily accessible alternatives should be implemented in drowning prevention programs or life-saving courses delivered to children.

Over 2.7 million people have an opioid use disorder (OUD). Opioid-related deaths have steadily increased over the last decade. Although emergency department (ED)-based medication for OUD (MOUD) has been successful in initiating treatment for patients, there still is a need for improved access. This study describes the development of a prehospital MOUD program.

An interdisciplinary team expanded a MOUD program into the prehospital setting through the local city fire department Quick Response Team (QRT) to identify patients appropriate for MOUD treatment. The QRT consisted of a paramedic, social worker, and police officer. This team visited eligible patients (i.e., history of an opioid overdose and received prehospital care the previous week). The implementation team developed a prehospital MOUD protocol and a two-hour training course for QRT personnel. Implementation also required a signed contract between local hospitals and the fire department. A drug license was necessary for the QRT vehicle to carry buprenorphine/naloxone, and a process to restock the vehicle was created. Pamphlets were created to provide to patients. A clinical algorithm was created for substance use disorder (SUD) care coordinators to provide a transition of care for patients. Metrics to evaluate the program included the number of patients seen, the number enrolled in an MOUD program, and the number of naloxone kits dispensed. Data were entered into iPads designated for the QRT and uploaded into the Research Electronic Data Capture (REDCap) program.

Over the six-month pilot, the QRT made 348 visits. Of these, the QRT successfully contacted 83 individuals, and no individuals elected to be evaluated for new MOUD treatment. Nine fatal opioid overdoses occurred during the study period. A total of 55 naloxone kits were distributed, and all patients received MOUD information pamphlets.

A prehospital MOUD program can be established to expand access to early treatment and continuity of care for patients with OUD. The program was well-received by the local city fire department and QRT. There is a plan to expand the prehospital MOUD program to other local fire departments with QRTs.

The aim of this study was to summarize the literature on the applications of machine learning (ML) and their performance in Emergency Medical Services (EMS).

Four relevant electronic databases were searched (from inception through January 2024) for all original studies that employed EMS-guided ML algorithms to enhance the clinical and operational performance of EMS. Two reviewers screened the retrieved studies and extracted relevant data from the included studies. The characteristics of included studies, employed ML algorithms, and their performance were quantitively described across primary domains and subdomains.

This review included a total of 164 studies published from 2005 through 2024. Of those, 125 were clinical domain focused and 39 were operational. The characteristics of ML algorithms such as sample size, number and type of input features, and performance varied between and within domains and subdomains of applications. Clinical applications of ML algorithms involved triage or diagnosis classification (n = 62), treatment prediction (n = 12), or clinical outcome prediction (n = 50), mainly for out-of-hospital cardiac arrest/OHCA (n = 62), cardiovascular diseases/CVDs (n = 19), and trauma (n = 24). The performance of these ML algorithms varied, with a median area under the receiver operating characteristic curve (AUC) of 85.6%, accuracy of 88.1%, sensitivity of 86.05%, and specificity of 86.5%. Within the operational studies, the operational task of most ML algorithms was ambulance allocation (n = 21), followed by ambulance detection (n = 5), ambulance deployment (n = 5), route optimization (n = 5), and quality assurance (n = 3). The performance of all operational ML algorithms varied and had a median AUC of 96.1%, accuracy of 90.0%, sensitivity of 94.4%, and specificity of 87.7%. Generally, neural network and ensemble algorithms, to some degree, out-performed other ML algorithms.

Triaging and managing different prehospital medical conditions and augmenting ambulance performance can be improved by ML algorithms. Future reports should focus on a specific clinical condition or operational task to improve the precision of the performance metrics of ML models.

The sudden onset of the coronavirus disease 2019 (COVID-19) pandemic was accompanied by a myriad of ethical issues that prompted the issuing of various ethical guidance documents for health care professionals in clinical, research, and public health settings throughout the United Kingdom (UK) of Great Britain and Northern Ireland and the Republic of Ireland. The aim of this review was to identify the main principles in ethical guidance documents published in the UK and Ireland during the COVID-19 pandemic.

This review used a qualitative review methodology with thematic synthesis to analyze the included ethics-related guidance documents, as defined in this review, published in the UK and Ireland from March 2020 through March 2022. The search included a general search in Google Scholar and a targeted search on the websites of the relevant professional bodies and public health authorities in the two countries. The ethical principles in these documents were analyzed using the constant comparative method (CCM).

Forty-four guidance documents met the inclusion and exclusion criteria. Ten main ethical principles were identified, namely: fairness, honesty, minimizing harm, proportionality, responsibility, autonomy, respect, informed decision making, duty of care, and reciprocity.

The guidelines did not present the ethical principles in equal detail. Some principles lacked definitions, leaving them vulnerable to misinterpretation by the documents’ end users. Priority was frequently given to collectivist ethics over individualistic approaches. Further clarity is required in future ethical guidance documents to better guide health care professionals in similar situations.