Suporte imediato de vida na pessoa em situação crítica: Contributos da intervenção do enfermeiro / Immediate life support to critical patients: Nursing care contributions / Soporte vital inmediato en situaciones críticas: Contribuciones de la intervención de enfermería

Resumo Enquadramento: As ambulâncias de suporte imediato de vida (SIV) possibilitam ao enfermeiro capacidade de intervenção em contexto pré-hospitalar, suportada pelo seu conhecimento técnico-científico, protocolos complexos de atuação e regulação médica por telemedicina. Objetivo: Analisar os contributos da intervenção dos enfermeiros SIV, na evolução do estado clínico da pessoa em situação crítica (PSC). Metodologia: Estudo quantitativo, descritivo-correlacional, retrospetivo, realizado em meios SIV, na região norte de Portugal. Analisados 574 registos clínicos eletrónicos, entre 01 de novembro e 31 de dezembro de 2019, que correspondem ao mesmo número de pessoas avaliadas. Utilizada a escala National Early Warning Score (NEWS) para avaliar a evolução clínica da PSC. Resultados: Observou-se uma evolução positiva do score NEWS da PSC, após a intervenção do enfermeiro SIV (M = 4,43 ± 3,901 vs 3,34 ± 3,329; sig < 0,001). Em sentido inverso, o risco clínico diminuiu significativamente após a intervenção do enfermeiro. Conclusão: Demonstrou-se a relevância da intervenção do enfermeiro SIV no contexto pré-hospitalar, enquanto garantia de segurança, qualidade e melhoria contínua dos cuidados à PSC.

Abstract Background: Immediate life support (ILS) ambulances allow nurses to intervene in pre-hospital settings, supported by their technical-scientific knowledge and complex protocols of action and regulation through telemedicine. Objective: To analyze the contributions of nursing interventions in the evolution of the clinical state of critical patients. Methodology: Quantitative, descriptive-correlational, retrospective, and observational study conducted in ILS settings in northern Portugal. A total of 574 electronic clinical records were analyzed between 1 November and 31 December 2019, corresponding to the same number of people evaluated. The National Early Warning Score (NEWS) was used to assess the clinical evolution of critical patients. Results: There was a positive evolution of the NEWS score of critical patients after the intervention of ILS nurses (M = 4.43 ± 3.901 vs. 3.34 ± 3.329; sig < 0.001). Similarly, the clinical risk of critical patients decreased after the nurse's intervention. Conclusion: This study demonstrated the importance of nurses in prehospital care, as a guarantee of safety, quality, and continuous improvement of care for critical patients.

Resumen Marco contextual: Las ambulancias de soporte vital inmediato (SVI) permiten al personal de enfermería intervenir en un contexto prehospitalario, con el apoyo de sus conocimientos técnico-científicos y de complejos protocolos de actuación y regulación médica a través de la telemedicina. Objetivo: Analizar las aportaciones de la intervención del personal de enfermería del SVI en la evolución del estado clínico de la persona en situación crítica (PSC). Metodología: Estudio cuantitativo, descriptivo-correlacional, retrospectivo, realizado en centros de SVI del norte de Portugal. Se analizaron 574 historias clínicas electrónicas entre el 1 de noviembre y el 31 de diciembre de 2019, correspondientes al mismo número de personas evaluadas. Se utilizó la escala National Early Warning Score (NEWS) para evaluar la evolución clínica de la PSC. Resultados: Se observó una evolución positiva en el score NEWS de la PSC, tras la intervención del personal de enfermería del SVI (M = 4,43 ± 3,901 vs 3,34 ± 3,329; sig < 0,001). Por el contrario, el riesgo clínico disminuyó significativamente tras la intervención del personal de enfermería. Conclusión: Se demostró la relevancia de la intervención del personal de enfermería del SVI en el contexto prehospitalario, como garantía de seguridad, calidad y mejora continua en la atención a la PSC.

Anticoagulant use before COVID-19 diagnosis prevent COVID-19 associated acute venous thromboembolism or not: A systematic review and meta-analysis.

BACKGROUND: Coagulopathy and thromboembolic events are associated with poor outcomes in coronavirus disease 2019 (COVID-19) patients. There is conflicting evidence on the effects of chronic anticoagulation on mortality and severity of COVID-19 disease. AIM: To summarize the body of evidence on the effects of pre-hospital anticoagulation on outcomes in COVID-19 patients. METHODS: A Literature search was performed on LitCovid PubMed, WHO, and Scopus databases from inception (December 2019) till June 2023 for original studies reporting an association between prior use of anticoagulants and patient outcomes in adults with COVID-19. The primary outcome was the risk of thromboembolic events in COVID-19 patients taking anticoagulants. Secondary outcomes included COVID-19 disease severity, in terms of intensive care unit admission or invasive mechanical ventilation/intubation requirement in patients hospitalized with COVID-19 infection, and mortality. The random effects models were used to calculate crude and adjusted odds ratios (aORs) with 95% confidence intervals (95%CIs). RESULTS: Forty-six observational studies met our inclusion criteria. The unadjusted analysis found no association between prior anticoagulation and thromboembolic event risk [n = 43851, 9 studies, odds ratio (OR)= 0.67 (0.22, 2.07); P = 0.49; I 2 = 95%]. The association between prior anticoagulation and disease severity was non-significant [n = 186782; 22 studies, OR = 1.08 (0.78, 1.49); P = 0.64; I 2 = 89%]. However, pre-hospital anticoagulation significantly increased all-cause mortality risk [n = 207292; 35 studies, OR = 1.72 (1.37, 2.17); P < 0.00001; I 2 = 93%]. Pooling adjusted estimates revealed a statistically non-significant association between pre-hospital anticoagulation and thromboembolic event risk [aOR = 0.87 (0.42, 1.80); P = 0.71], mortality [aOR = 0.94 (0.84, 1.05); P = 0.31], and disease severity [aOR = 0.96 (0.72, 1.26); P = 0.76]. CONCLUSION: Prehospital anticoagulation was not significantly associated with reduced risk of thromboembolic events, improved survival, and lower disease severity in COVID-19 patients.

Correlation Between the Revised Physiological Trauma Score and CT Scan Results.

Background Trauma-scoring systems are used to triage patients and assist in clinical decision-making. Physiological trauma scores are used for quantitative evaluation of injury severity. However, only a few, such as the Revised Physiological Trauma Score (rPTS), have been proven effective in pre-clinical use. There is a constant need for clinical decision tools that aim to reduce the unnecessary use of CT scans among trauma patients. To our knowledge, no study has directly correlated the rPTS and CT findings. This study aimed to investigate whether the rPTS is correlated with CT scan results and can be used to decrease the use of CT. Methodology This retrospective chart review examined all patients who underwent a pan-CT for trauma in the Emergency Department of King Abdulaziz Medical City, Jeddah, from 2008 to 2012. Results We analyzed 235 patients. There was a significant difference in the mean rPTS between those with negative versus positive pan-CT scans (11.4 ± 1.3 vs. 10.9 ± 1.7, respectively; p = 0.032). Furthermore, the rate of positive CT scans was significantly higher in those with an rPTS <11 than those with an rPTS of 11 or 12 (87% vs. 74.1%, respectively; p = 0.044). However, 72.7% of patients with an rPTS of 12/12 had a positive pan-CT scan. Conclusions Despite the difference in the frequency of abnormal CT scans, too many patients with normal rPTS had abnormal CT findings. Therefore, the rPTS cannot be used to safely reduce the use of CT scans.

High Detectability of Prehospital 12-Lead Electrocardiogram in Diagnosing Spasm-Induced Acute Coronary Syndrome.

BACKGROUND: The importance of prehospital (PH) electrocardiograms (ECG) recorded by emergency medical services (EMS) for diagnosing coronary artery spasm-induced acute coronary syndrome (CS-ACS) remains unclear. METHODS AND RESULTS: We enrolled 340 consecutive patients with ACS who were transported by EMS within 12 h of symptom onset. According to Japanese Circulation Society guidelines, CS-ACS (n=48) was diagnosed with or without a pharmacological provocation test (n=34 and n=14, respectively). Obstructive coronary artery-induced ACS (OC-ACS; n=292) was defined as ACS with a culprit lesion showing 99% stenosis or >75% stenosis with plaque rupture or thrombosis observed via angiographic and intravascular imaging. Ischemic ECG findings included ST-segment deviation (elevation or depression) and negative T and U waves. In CS-ACS, the prevalence of ST-segment deviation decreased significantly from PH-ECG to emergency room (ER) ECG (77.0% vs. 35.4%; P<0.001), as did the prevalence of overall ECG abnormalities (81.2% vs. 45.8%; P<0.001). Conversely, in OC-ACS, there was a similar prevalence on PH-ECG and ER-ECG of ST-segment deviations (94.8% vs. 92.8%, respectively; P=0.057) and abnormal ECG findings (96.9% vs. 95.2%, respectively; P=0.058). Patients with abnormal PH-ECG findings that disappeared upon arrival at hospital without ER-ECG or troponin abnormalities were more frequent in the CS-ACS than OC-ACS group (20.8% vs. 1.0%; P<0.001). CONCLUSIONS: PH-ECG is valuable for detecting abnormal ECG findings that disappear upon arrival at hospital in CS-ACS patients.

Epidemiology and outcomes of out of hospital cardiac arrest in Karachi, Pakistan - A longitudinal study.

Background: Out-of-hospital cardiac arrest (OHCA) is a major cause of morbidity and mortality globally, with survival outcomes remaining poor particularly in many low- and middle-income countries. We aimed to establish a pilot OHCA registry in Karachi, Pakistan to provide insights into OHCA patient demographics, pre-hospital and in-hospital care, and outcomes. Methods: A multicenter longitudinal study was conducted from August 2015-October 2019 across 11 Karachi hospitals, using a standardized Utstein-based survey form. Data was retrospectively obtained from medical records, patients, and next-of-kin interviews at hospitals with accessible medical records, while hospitals without medical records system used on-site data collectors. Demographics, arrest characteristics, prehospital events, and survival outcomes were collected. Survivors underwent follow-up at 1 month, 6 months, 1 year, and 5 years. Results: In total, 1068 OHCA patients were included. Mean age was 55 years, 61.1 % (n = 653) male. Witnessed arrests accounted for 94.9 % of the cases (n = 1013), whereas 89.4 % of the cases (n = 955) were transported via non-EMS. Bystander CPR was performed in 10.3 % (n = 110) cases whereas pre-hospital defibrillation performed in 0.4 % (n = 4). In-hospital defibrillation was performed in 9.9 % (n = 106) cases despite < 5 % shockable rhythms. Overall survival to discharge was 0.75 % (n = 8). Of these 8 patients, 7 patients survived to 1-year and 2 to 5-years. Neurological outcomes correlated with long-term survival. Conclusion: OHCA survival rates are extremely low, necessitating public awareness interventions like CPR training, developing robust pre-hospital systems, and improving in-hospital emergency care through standardized training programs. This pilot registry lays the foundation for implementing interventions to improve survival and emergency medical infrastructure.

Efficacy and safety of buccal midazolam for seizures outside the hospital: Real-world clinical experience.

INTRODUCTION: Buccal midazolam (buc MDL) is the first buccal mucosal delivery formulation applied for status epilepticus in Japan. Herein, we aimed to investigate the effectiveness and adverse events of buc MDL as a pre-hospital treatment for epileptic seizures in real-world clinical practice. METHODS: This study involved a retrospective review based on medical records. We included children who received buc MDL as pre-hospital treatment for epileptic seizures and were subsequently transported to the emergency department between April 2021 and November 2023. RESULTS: This study included 26 patients (136 episodes). The overall efficacy rate, which was defined as seizure cessation within 10 min after buc MDL administration with no recurrence within 30 min, was 43 %. Moreover, 70 % of the episodes did not require additional medications. None of the episodes required bag-mask ventilation or intubation following seizure cessation with buc MDL alone. The efficacy was decreased when buc MDL was administered longer than 15 min from seizure onset. Furthermore, the efficacy did not decrease as long as it was within 0.2-0.5 mg/kg, even if the dose was smaller than the appropriate dose for the specific age. CONCLUSIONS: The response rate was significantly higher in episodes where buc MDL was administered within 15 min. Additionally, there was no concern regarding respiratory depression with buc MDL alone.

Prehospital Management of Postpartum Hemorrhage-A National, Cross-Sectional Study in Norway.

INTRODUCTION: Postpartum hemorrhage (PPH) is a critical birth complication, and is stated by the World Health Organization (WHO) as among the five most frequent causes of death during pregnancy. External aortic compression (EAC) is recommended by the WHO as an intervention to achieve temporary bleeding control. An increasing number of births outside hospital underlines the importance of competence in handling potential birth complications, such as PPH. The aim of this study was to assess prehospital personnel's education, training, knowledge, and experiences regarding PPH and EAC across Norway. METHODS: Prehospital personnel were invited to respond to a questionnaire through social media. Questions included those on education, training, knowledge, and experience regarding PPH and EAC. The Statistical Package for the Social Sciences (SPSS) version 28 was used to analyze the data, using descriptive statistics. RESULTS: Over a two-month period, 211 prehospital personnel responded to the questionnaire, of whom 55.5% were male. The respondents had an average of 10.3 years of prehospital experience. About half of the respondents had received education (48.6%) and training (62.4%) in PPH management. Still, 95.7 percent reported a need for more education and training. On knowledge questions, only half of the responses were correct (43.7% to 60.5%). Only 21 percent of the respondents had experienced patients with PPH, and of these only 3.8 percent had used EAC. Bimanual uterine compression was the most frequent intervention used (62.5%) across hospital trusts. CONCLUSIONS: Even if prehospital personnel receive education and training in the management of PPH and EAC, almost all report needing more. The results indicate a national variation, which may be discussed as to whether it is appropriate.

Behind the scenes: a qualitative study on threats and violence in emergency medical services.

The increasing prevalence of threats and violence against ambulance clinicians is a critical issue that has not been adequately studied. These incidents pose significant challenges to the provision of prehospital emergency care, affecting both the safety and well-being of the clinicians involved. This study aimed to explore the experiences of Swedish ambulance clinicians when encountering threats and violence during their work. A qualitative approach was used, involving semi-structured interviews with 11 ambulance clinicians from various regions of Sweden. The participants were selected to ensure diversity in gender, age, and educational background. The data were collected over three weeks in 2021 and analyzed using qualitative content analysis. The analysis revealed three key categories related to the challenges faced by ambulance clinicians: Police cooperation challenges, Strategies for a safe care environment, and Impact during and relief after stressful events. These categories highlight the complexities of managing threats and violence in the field. This study sheds light on the multifaceted challenges that ambulance clinicians face due to threats and violence. It underscores the urgent need for comprehensive training, effective communication, and clear role allocation in complex situations. Furthermore, it emphasizes the importance of organized support systems to help clinicians cope with the aftermath of stressful events.

Prehospital Pandemic Respiratory Infection Emergency System Triage score can effectively predict the 30-day mortality of COVID-19 patients with pneumonia.

BACKGROUND: Coronavirus disease 2019 (COVID-19) patients with pneumonia should receive the guidance of initial risk stratification and early warning as soon as possible. Whether the prehospital Pandemic Respiratory Infection Emergency System Triage (PRIEST) score can accurately predict the short-term prognosis of them remains unknown. Accordingly, we aimed to assess the performance of prehospital PRIEST in predicting the 30-day mortality of patients. METHODS: This retrospective study evaluated the accuracy of five physiological parameters scores commonly used in prehospital disposal for mortality prediction using receiver operating characteristic curves and decision curve analysis. Cox proportional hazard regression analysis was conducted to evaluate independent predictors associated with the 30-day mortality. RESULTS: A total of 231 patients were included in this study, among which 23 cases (10.0%) died within 30 days after admission. Compared with survivor patients, non-survivor patients had greater numbers of comorbidities, signs and symptoms, complications, and physiological parameters scores and required greater prehospital care (p < 0.05). When the PRIEST score was >12, the sensitivity was 91.3%, and the specificity was 77.4%. We found that the area under the curve of the PRIEST score (0.887, p < 0.05) for mortality prediction was greater than that of the quick Sequential Organ Failure Assessment (0.724), CRB-65 (0.780), Rapid Emergency Medicine Score (0.809), and National Early Warning Score 2 (0.838). Moreover, prehospital PRIEST scores were positively correlated with numbers of comorbidities and numbers of prehospital treatment measures. The 30-day survival rate of patients with PRIEST scores ≤12 (98.8%) significantly exceeded that of patients with PRIEST scores >12 (69.1%) (p < 0.001). Prehospital PRIEST scores >12 (HR = 7.409) was one of the independent predictors of the 30-day mortality. CONCLUSIONS: The PRIEST can accurately, quickly, and conveniently predict the 30-day mortality of COVID-19 patients with pneumonia in the prehospital phase and can guide their initial risk stratification and treatment.

Incidence and characteristics of prehospital fatalities from haemorrhage in Sweden: a nationwide observational study.

BACKGROUND: Haemorrhage is a leading cause of preventable mortality in high-income countries and emergency management presents unique challenges in the prehospital setting. The study aimed to determine incidence and characteristics of fatalities from prehospital haemorrhage in Sweden. METHODS: A nationwide retrospective cohort study 2012-2021 was conducted using data from the Swedish National Board of Health and Welfare. Prehospital fatality from haemorrhage was defined as a cause of death related to haemorrhage (Appendix 1) without a hospital admission on the same day. Primary outcome was age-standardized mortality rate per 100,000 inhabitants. RESULTS: A total of 9801 prehospital fatalities from haemorrhage were identified. Annual age-standardized mortality rate decreased from 10.97 to 8.18 per 100,000 population (coefficient = - 0.28, r2 = 0.85, p = < 0.001). Trauma was the most common cause (3512, 35.83%) with intentional self-harm (X60-X84), transport accidents (V01-V99) and assault (X85-Y09) being the most common mechanisms of injury. Traumatic fatalities were younger and a larger proportion were male compared to non-traumatic causes (p < 0.001). Overall median Charlson Comorbidity Index (Quan) was 0 [0-2] with a lower index noted for traumatic causes (p < 0.001). Trauma resulted in a median of 26.1 [3.65-49.22] years of life lost per patient compared to 0 [0-3.65] for non-traumatic causes (p < 0.001). Regional variations in mortality rate were observed with lower population density correlating with higher mortality rate (ρ = - 0.64, p = 0.002). CONCLUSIONS: Prehospital mortality from haemorrhage decreased between 2012 and 2021. Trauma was the most common cause which resulted in many years of life lost in a population with a low burden of comorbidities. There were considerable regional differences with low population density associated with higher mortality rate from prehospital haemorrhage.

Exploring Prehospital Data for Pandemic Preparedness: A Western Brazilian Amazon Case Study on COVID-19.

BACKGROUND: The timely management of rapidly evolving epidemiological scenarios caused by disease outbreaks is crucial to prevent devastating consequences. However, delayed laboratory diagnostics can hamper swift health policy and epidemic response, especially in remote regions such as the western Brazilian Amazon. The aim of the article is to analyze the impact of the COVID-19 pandemic on the volume and characteristics of emergency medical services (EMS) in Manaus, focusing on how the pandemic affected sensitive indicators such as response time and the use of advanced life support ambulances. Additionally, the study seeks to understand how changes in prehospital EMS patterns, triggered by the pandemic, could be utilized as health surveillance tools, enabling a more rapid response in epidemic scenarios. METHODS: This retrospective, descriptive study included data from the SAMU (Serviço de Atendimento Móvel de Urgência) medical records between January and June 2020. RESULTS: A total of 45,581 calls resulted in mobile units being dispatched during this period. These patients were predominantly male (28,227, 61.9%), with a median age of 47 years (IQR 30-67). The median response time significantly increased during the pandemic, reaching a median of 45.9 min (IQR 30.6-67.7) (p < 0.001). EMS calls were reduced for trauma patients and increased for other medical emergencies, especially respiratory conditions, concomitantly to an escalation in the number of deaths caused by SARS and COVID-19 (p < 0.001). The employment of advanced life support ambulances was higher during the pandemic phase (p = 0.0007). CONCLUSION: The COVID-19 pandemic resulted in a temporary disorder in the volume and reason for EMS calls in Manaus. Consequently, sensitive indicators like the response time and the employment of advanced life support ambulances were negatively affected. Sudden prehospital EMS pattern changes could play an important role in health surveillance systems, allowing for earlier establishment of countermeasures in epidemics. The impact of the COVID-19 pandemic on prehospital EMS and its role in health surveillance should be further explored.

Assistance time and peripheral oxygen saturation in prehospital emergency data as predictors of COVID19 hospital outcomes.

To verify if data obtained in the prehospital evaluation of patients with severe acute respiratory syndrome (SARS) during the initial response to the COVID-19 pandemic is associated with clinical outcomes: mechanical ventilation, hospital discharge, and death. This is a retrospective analysis involving secondary data from the Emergency Medical Service (EMS) records and the Health Surveillance Information System of patients assisted by the EMS in Manaus, from January to June 2020, the period of the first peak of COVID-19 cases. The combination of the two databases yielded a total of 1.190 patients, who received a first EMS response and were later admitted to hospital with SARS and had data on clinical outcomes of interest available. Patients were predominantly male (754, 63.4%), with a median age of 66 (IQR: 54.0-78.0) years. SARS illness before medical assistance was associated to need for invasive mechanical ventilation (IMV, p < 0.001). Lower pre-hospital SpO2 was associated to death (p = 0.025). Death was more common among patients with respiratory support needs, especially in the invasive ventilation group (262/287; 91.3%) (p < 0.001). In addition, IMV was more common among elderly individuals (p < 0.001). Patients admitted to ICU had a greater chance of dying when compared to non-ICU admitted patients (p < 0.001), and closely related to IMV (p < 0.001). Patients in ICU were also older (p = 0.003) and had longer hospital stay (p < 0.001). Mortality was associated with mechanical ventilation (p < 0.001), ICU admission (p < 0.001), and older age (p < 0.001). Patients who died had a shorter length of both ICU and total hospital stay (p < 0.001). Prehospital EMS may provide feasible and early recognition of critical patients with SARS in strained healthcare systems, such as in low-resource settings and pandemics.

Saving lives with statistics.

Healthcare is awash with numbers, and figuring out what knowledge these numbers might hold is worthwhile in order to improve patient care. Numbers allow for objective mathematical analysis of the information at hand, but while mathematics is objective by design, our choice of mathematical approach in a given situation is not. In prehospital and critical care, numbers stem from a wide range of different sources and situations, be it experimental setups, observational data or data registries, and what constitutes a "good" statistical analysis can be unclear. A well-crafted statistical analysis can help us see things our eyes cannot, and find patterns where our brains come short, ultimately contributing to changing clinical practice and improving patient outcome. With increasingly more advanced research questions and research designs, traditional statistical approaches are often inadequate, and being able to properly merge statistical competence with clinical knowhow is essential in order to arrive at not only correct, but also valuable and usable research results. By marrying clinical knowhow with rigorous statistical analysis we can accelerate the field of prehospital and critical care.

Cerebral Small Vessel Disease is Associated with Prehospital Delay in Acute Ischemic Stroke.

AIM: To determine whether the severity of cerebral small vessel disease (SVD) is associated with prehospital delay in acute ischemic stroke. METHODS: Consecutive patients with ischemic stroke were included in this study. We evaluated the SVD burden using the total SVD score. Patients were divided into 2 groups: onset-to-door time within 4.5 hours (early arrival group) and onset-to-door time over 4.5 hours (delayed arrival group). First, we assessed whether the total SVD score was related to prehospital delay using a logistic regression analysis. Second, we assessed which item of the score was independently associated with delays. Finally, we determined whether the item had a linear association with the delay. RESULTS: Of the 2,112 screened patients, 1,754 were enrolled in the study (1,253 males [71%]; median age, 69 years). There were 1,105 patients (63%) in the delayed arrival group. The total SVD score was independently associated with delay (OR 1.11, 95% CI 1.01-1.21, p=0.025). Among the 4 items of the score, only enlarged perivascular spaces (EPVS) in the basal ganglia was independently associated with delay (OR 1.37, 95% CI 1.05-1.80, p=0.022). A linear trend was observed between EPVS grade and delay with reference to EPVS grade 0-1 (EPVS grade 2: OR 1.22, 95% CI 0.92-1.62, p=0.170, EPVS grade 3: OR 1.69, 95% CI 1.20-2.38, p=0.002, EPVS grade 4: OR 2.17, 95% CI 1.37-3.44, p=0.001). CONCLUSIONS: Prehospital delay in acute ischemic stroke could be associated with the severity of SVD, particularly EPVS in the basal ganglia.

The challenges of delivery in pre-hospital emergency medical services ambulances in Iran: a qualitative study.

BACKGROUND: Although unplanned deliveries in ambulances are uncommon, Emergency Medical Services (EMS) providers may encounter this situation before reaching the hospital. This research aims to gather insights from Emergency Medical Technicians (EMTs), midwives, and expectant mothers to examine the causes of giving birth in ambulances and the challenges EMTs, pregnant women, and midwives face during delivery. METHODS: A qualitative study was conducted, and 28 EMTs, midwives, and pregnant women who had experience with pre-hospital births in the ambulance were interviewed. Data were analyzed using thematic content analysis. The MAXQDA/10 software was employed for data analysis and code extraction. RESULTS: The analysis of the interviews revealed two main categories: factors that cause delivery in the ambulance and its challenges. The factors include cultural problems, weak management, and inaccessibility to facilities. The challenges consist of fear and anxiety, native culture, and lack of resources. CONCLUSIONS: Several approaches should be implemented to reduce the number of births in ambulances and Pre-hospital Emergency Medical Services (PEMS). These include long-term community cultural activities, public education, awareness campaigns, education and follow-up for pregnant women, and improved accessibility to health facilities. Additionally, EMTS need to receive proper education and training for ambulance deliveries. Enhancing ambulance services and supporting EMTs in dealing with litigation claims are also critical.

Delayed admission to hospital with proper prehospital treatments prevents severely burned patients from sepsis in China: A retrospective study.

BACKGROUND: Sepsis is one of the major causes of morbidity and mortality in burn patients. However, the optimal timing of admission which can minimize the probability of sepsis is still unclear. This study aims to determine the optimal time period of admission for severely burned patients and find out the possible reasons for it. METHOD: 185 victims to the Kunshan factory aluminum dust explosion accident, which happened on August 2nd, 2014, were studied. The optimal cutpoint for continuous variables in survival models was determined by means of the maximally selected rank statistic. Univariate and multivariate analyses were further conducted to verify that admission time was not a risk factor for sepsis. Subgroup analyses were performed to find out possible contributing factors for the result. RESULT: The cutoff point for admission time was determined as seven hours, which was supported by the survival curve (p < 0.001). Multivariate analysis showed that, in our study population, delayed admission time was not a risk factor for sepsis (HR = 0.610, 95 %CI = 0.415 - 0.896, p = 0.012). Subgroup analyses showed that "Tracheotomy before admission" (p = 0.002), "Whole blood transfusion" (p < 0.001), "Hemodynamic instability before admission" (p = 0.02), "Has a burn department in the hospital" (p = 0.009), "Has a burn ICU in the hospital" (p < 0.001), "Acute heart failure (AHF)" (p = 0.05), "acute respiratory distress syndrome (ARDS)" (p = 0.05) and "GI bleeding" (p = 0.04) were all statistically significant. CONCLUSION: In our study population, we found that delayed admission time was not a risk factor associated with a reduced incidence of sepsis among severely burned patients. This might be attributed to variations in prehospital treatments (whole blood transfusion and tracheotomy), whether the hospital had a burn department/ICU, and certain complications (AHF, ARDS and GI bleeding). It can be inferred that early prehospital care plays a crucial role in reducing sepsis risk among severe burn patients.

A Two-Step Approach Using the National Health Institutes of Health Stroke Scale Assessed by Paramedics to Enhance Prehospital Stroke Detection: A Case Report and Concept Proposal.

Background: Prehospital detection and triage of stroke patients mostly rely on the use of large vessel occlusion prediction scales to decrease onsite time. These quick but simplified scores, though useful, prevent prehospital providers from detecting posterior strokes and isolated symptoms such as limb ataxia or hemianopia. Case report: In the present case, an ambulance was dispatched to a 46-year-old man known for ophthalmic migraines and high blood pressure, who presented isolated visual symptoms different from those associated with his usual migraine attacks. Although the assessment advocated by the prehospital guideline was negative for stroke, the paramedic who assessed the patient was one of the few trained in the National Institutes of Health Stroke Scale assessment. Based on this assessment, the paramedic activated the fast-track stroke alarm and an ischemic stroke in the right temporal lobe was finally confirmed by magnetic resonance imaging. Discussion and conclusions: Current prehospital practice enables paramedics to detect anterior strokes but often limits the detection of posterior events or more subtle symptoms. Failure to identify such strokes delay or even forestall the initiation of thrombolytic therapy, thereby worsening patient outcomes. We therefore advocate a two-step prehospital approach: first, to avoid unnecessary delays, the prehospital stroke assessment should be carried out using a fast large vessel occlusion prediction scale; then, if this assessment is negative but potential stroke symptoms are present, a full National Institutes of Health Stroke Scale assessment could be performed to detect neurological deficits overlooked by the fast stroke scale.

The association of prehospital rearrest with outcome following out-of-hospital cardiac arrest: a systematic review and meta-analysis of observational studies.

OBJECTIVES: Exposure to prehospital rearrest has previously been associated with mortality following out-of-hospital cardiac arrest (OHCA). Our objective was to conduct a systematic review and meta-analysis examining the association between prehospital rearrest and survival in adults following OHCA resuscitation. METHODS: We searched the PubMed, Scopus, and Web of Science bibliographic databases for observational studies that included adult OHCA patients who achieved return of spontaneous circulation in the prehospital setting following OHCA and reported survival to hospital discharge data stratified by rearrest status. The primary exposure was prehospital rearrest. The primary outcome for this study was survival to hospital discharge. Secondary outcomes included survival with a favorable neurological outcome and rearrest prevalence. We pooled data using inverse heterogeneity modeling and presented effect sizes for the survival outcomes as odds ratios with 95% confidence intervals. We quantified heterogeneity using Cochran's Q and the I2 statistic and examined small study effects using Doi plots and the LFK index. RESULTS: Of the 84 publications screened, we included 7 observational studies containing 27,045 patients with survival to hospital discharge data. Rearrest was common (30% [18-43%]; n = 7 studies; Q = 1086.1, p < 0.001; I2=99%; LFK index = 1.21) and associated with both decreased odds of survival to discharge (pooled aOR: 0.27 [0.22, 0.33]; n = 7 studies; Q = 32.2, p < 0.01, I2=81%, LFK index=-0.08) and decreased odds of survival to discharge with a favorable neurological outcome (pooled aOR: 0.25, [0.22, 0.28]; n = 4 studies; Q = 3.5, p = 0.3; I2=13%, LFK index = 1.30). CONCLUSIONS: Rearrest is common and associated with decreased survival following OHCA. The pooled result of this meta-analysis suggests that preventing rearrest in five patients would be necessary to save one life. PROSPERO REGISTRATION NUMBER: CRD42024525048.

Improving Triage Accuracy in Prehospital Emergency Telemedicine: Scoping Review of Machine Learning-Enhanced Approaches.

BACKGROUND: Prehospital telemedicine triage systems combined with machine learning (ML) methods have the potential to improve triage accuracy and safely redirect low-acuity patients from attending the emergency department. However, research in prehospital settings is limited but needed; emergency department overcrowding and adverse patient outcomes are increasingly common. OBJECTIVE: In this scoping review, we sought to characterize the existing methods for ML-enhanced telemedicine emergency triage. In order to support future research, we aimed to delineate what data sources, predictors, labels, ML models, and performance metrics were used, and in which telemedicine triage systems these methods were applied. METHODS: A scoping review was conducted, querying multiple databases (MEDLINE, PubMed, Scopus, and IEEE Xplore) through February 24, 2023, to identify potential ML-enhanced methods, and for those eligible, relevant study characteristics were extracted, including prehospital triage setting, types of predictors, ground truth labeling method, ML models used, and performance metrics. Inclusion criteria were restricted to the triage of emergency telemedicine services using ML methods on an undifferentiated (disease nonspecific) population. Only primary research studies in English were considered. Furthermore, only those studies using data collected remotely (as opposed to derived from physical assessments) were included. In order to limit bias, we exclusively included articles identified through our predefined search criteria and had 3 researchers (DR, JS, and KS) independently screen the resulting studies. We conducted a narrative synthesis of findings to establish a knowledge base in this domain and identify potential gaps to be addressed in forthcoming ML-enhanced methods. RESULTS: A total of 165 unique records were screened for eligibility and 15 were included in the review. Most studies applied ML methods during emergency medical dispatch (7/15, 47%) or used chatbot applications (5/15, 33%). Patient demographics and health status variables were the most common predictors, with a notable absence of social variables. Frequently used ML models included support vector machines and tree-based methods. ML-enhanced models typically outperformed conventional triage algorithms, and we found a wide range of methods used to establish ground truth labels. CONCLUSIONS: This scoping review observed heterogeneity in dataset size, predictors, clinical setting (triage process), and reported performance metrics. Standard structured predictors, including age, sex, and comorbidities, across articles suggest the importance of these inputs; however, there was a notable absence of other potentially useful data, including medications, social variables, and health system exposure. Ground truth labeling practices should be reported in a standard fashion as the true model performance hinges on these labels. This review calls for future work to form a standardized framework, thereby supporting consistent reporting and performance comparisons across ML-enhanced prehospital triage systems.

Scoping review of the effectiveness of 10 high-impact initiatives (HIIs) for recovering urgent and emergency care services.

INTRODUCTION: Prolonged ambulance response times and unacceptable emergency department (ED) wait times are significant challenges in urgent and emergency care systems associated with patient harm. This scoping review aimed to evaluate the evidence base for 10 urgent and emergency care high-impact initiatives identified by the National Health Service (NHS) England. METHODS: A two-stage approach was employed. First, a comprehensive search for reviews (2018-2023) was conducted across PubMed, Epistemonikos and Google Scholar. Additionally, full-text searches using Google Scholar were performed for studies related to the key outcomes. In the absence of sufficient review-level evidence, relevant available primary research studies were identified through targeted MEDLINE and HMIC searches. Relevant reviews and studies were mapped to the 10 high-impact initiatives. Reviewers worked in pairs or singly to identify studies, extract, tabulate and summarise data. RESULTS: The search yielded 20 771 citations, with 48 reviews meeting the inclusion criteria across 10 sections. In the absence of substantive review-level evidence for the key outcomes, primary research studies were also sought for seven of the 10 initiatives. Evidence for interventions improving ambulance response times was generally scarce. ED wait times were commonly studied using ED length of stay, with some evidence that same day emergency care, acute frailty units, care transfer hubs and some in-patient flow interventions might reduce direct and indirect measures of wait times. Proximal evidence existed for initiatives such as urgent community response, virtual hospitals/hospital at home and inpatient flow interventions (involving flow coordinators), which did not typically evaluate the NHS England outcomes of interest. CONCLUSIONS: Effective interventions were often only identifiable as components within the NHS England 10 high-impact initiative groupings. The evidence base remains limited, with substantial heterogeneity in urgent and emergency care initiatives, metrics and reporting across different studies and settings. Future research should focus on well-defined interventions while remaining sensitive to local context.