Journal of Emergencies, Trauma, and Shock最新文献

Introduction: Identifying factors causing treatment delays is essential for guiding decisions on resource allocation within trauma systems. The three-delay model categorizes delays into: (i) deciding to seek medical care (Phase 1), (ii) recognizing the need for transporting to a medical facility (Phase 2), and (iii) receiving suitable and timely treatment (Phase 3). We seek to investigate factors influencing delays in trauma patients using the three-delay model.

Methods: We conducted an 18-month prospective observational study at a tertiary hospital, involving consenting adults (age >18 years) admitted for various traumas. We conducted a detailed interview and extracted objective patient data from medical records using a predetermined form. We observed and analyzed factors influencing the duration of the three phases.

Results: Phase 1 delays were observed in 83 patients, Phase 2 delays in 200 patients, and Phase 3 delays in 233 patients. In Phase 3 delays, a shortage of human resources was the most frequently identified cause of delay, affecting 68 out of 233 patients (29%). In severe trauma cases (injury severity score ≥16), any phase delay showed a significant association with poor outcomes (P < 0.05).

Conclusion: The three-delay model offers a valuable framework for understanding and pinpointing the factors contributing to delays in both prehospital and inhospital services.

Introduction: Maternal cardiac arrest is a rare but critical event that poses significant risks to both the mother and the fetus. As majority of population in India lives in the rural areas, Emergency Medical Professionals assist in childbirth in transit in ambulances. This timely assistance ensures the safe transportation of both mother and new born baby to the hospital. The aim of this study was to assess the effectiveness of high-fidelity simulation training in the management of maternal cardiac arrest among emergency medical professionals.

Methods: The randomized simulation study aimed to assess the effectiveness of high-fidelity simulation in managing maternal cardiac arrest. Two hundred and fifty emergency medical professionals were randomly assigned to 50 groups. Participants underwent a prebriefing session before engaging in simulation scenarios. After the initial scenarios, participants received a debriefing session emphasizing the standardized algorithm for maternal cardiac arrest management. A week later, participants engaged in a second simulation scenario, and their adherence to the algorithm was assessed. The data were analyzed using statistical tests, and the entire simulation session was video recorded for reliability.

Results: The results showed that participants demonstrated an improvement in managing both maternal and obstetric interventions in the posttraining scenario compared to the pretraining scenario. The successful implementation of the advanced cardiac life support algorithm and the debriefing session were key factors in improving participants' performance. However, continuous exposure and practice are necessary to maintain and enhance these skills.

Conclusion: Health-care professionals should actively seek opportunities for ongoing training and education to stay updated with the latest guidelines and advancements in managing maternal cardiac arrest.

Introduction: We retrospectively analyzed convulsive patient outcomes transported by a physician-staffed Helicopter Emergency Medical Service (doctor helicopter [DH]) using the keyword-triggered dispatch with data from the Japan DH Registry System (JDRS). Upon receiving an emergency call containing critical keywords, such as an ongoing convulsion at the firefighting central command room, immediate dispatch of the DH is requested, in addition to dispatching an ambulance. The keyword-triggered dispatch relied on data obtained from the JDRS.

Methods: Details from the JDRS database included patient age, sex, cardiac arrest presence upon DH contact, vital signs, DH dispatch timing (keyword-triggered dispatch/emergency medical technician [EMT]-triggered dispatch), medical intervention details, and 1-month outcomes (cerebral performance category [CPC]; CPC1, 2: Good; CPC 3-5: Poor). Subjects were divided into keyword (keyword-triggered dispatch) and control (EMT-triggered dispatch) groups for comparison.

Results: Of 1201 patients, all evacuated from the scene, 617 were in the keyword group, and 584 in the control group. No significant differences existed between groups for cardiac arrest, respiratory and heart rates, CPC, or mortality. The keyword group had lower average age, systolic blood pressure, and medical intervention ratio but a higher median Glasgow Coma Scale and good outcome ratio.

Conclusion: This first report on the keyword-triggered dispatch as a prognostic factor for convulsive patients evacuated by DH using the JDRS.

Introduction: The association between elevated lactate levels and the development of disseminated intravascular coagulation (DIC) in patients with severe trauma remains unclear. Hence, this study aimed to explore the association between lactate and the development of DIC in patients with severe trauma.

Methods: This prospective cohort study was conducted on consecutive patients with severe trauma who were hospitalized in the intensive care unit from January 2020 to January 2023. The primary outcome measured was the occurrence of DIC in patients in the emergency department or posthospitalization. Logistic regression analysis evaluating the risk values for lactate and DIC, the receiver operating characteristic (ROC) curve, and decision curve analysis (DCA) examinations studying the predictive efficiency of lactate for DIC. The Kaplan-Meier survival curve was used to assess patient survival. Sensitivity robustness analysis included modified Poisson regression, E-value, subgroup analysis, and numerical variable transformation analysis.

Results: Logistic regression analysis corrected for confounding factors showed that lactate was a risk factor for DIC in patients with severe trauma (adjusted odds ratio [OR]: 1.374, 95% confidence interval [CI]: 1.206-1.566). Lactate predicted DIC risk with a 0.8513 area under the ROC curve (95% CI: 0.7827-0.9199), 4.8 cutoff value, 0.8333 sensitivity, and 0.8014 specificity. DCA showed the correlation between lactate and DIC. The mortality rate of patients with a high risk of DIC was significantly higher than that of patients with a low risk (log-rank test, P < 0.001). The modified Poisson regression showed that lactate was a risk factor for DIC (risk ratio: 1.188, 95% CI: 1.140-1.237). E-value was 1.645, and the lower limit of 95% CI was 1.495. The logistic regression analysis after subgroup analysis and transformation of numerical variables showed that lactate remained a risk factor for DIC.

Conclusions: Elevated lactate is closely associated with the occurrence of DIC in patients with severe trauma. Lactate seems to be a good predictive factor for DIC manifestation in patients with severe trauma.

Introduction: Prehospital capabilities are inadequately developed to meet the growing needs for emergency care in most low- and middle-income countries. This study aims to describe the prehospital care received by the road traffic injury (RTI) victims presenting to a level I Trauma Care Center in Central Kerala, India.

Methods: This was a hospital-based prospective observational study, which included consecutive victims of RTI attending the emergency department within 24-h of the event. A structured interview schedule was developed for collecting the data on various domains and the patients were followed up for their duration of hospital stay.

Results: A total of 920 RTI victims, were included in this study. Two percent (17/920) of first responders had some sort of training in trauma care whereas the rest were untrained. The time taken to get any help at the scene after an RTI was 8 ± 12.9 min (95% confidence interval [CI] 7.16-8.84) and for first medical contact 25 ± 16 min (95% CI 24-26). No attempt at field stabilization occurred in any case. Three percent (26/920) had received some form of prehospital care, like arrest of hemorrhage using a compression bandage and splinting of the fractured limb with a wooden plank. None of the patients received supplemental oxygen, airway management, or cervical spine immobilization at the site of the accident or en route to the hospital.

Conclusion: A lack of an organized prehospital care system results in minimal care before hospital admission. Urgent establishment of ambulance services and structured prehospital care tailored to our health-care system is imperative.

Introduction: The incidence of stroke is increasing in India. Prehospital stroke care is crucial for reducing stroke morbidity and mortality, but its implementation in India faces several challenges. Limited original research exists on prehospital stroke care in India, making it essential to identify the problems in implementing effective prehospital stroke care.

Methods: A web-based survey was conducted among registered medical practitioners in India who treat acute stroke. The survey questionnaire was developed in English and included 26 questions divided into five parts: questions about the physician's practice setup/hospital in India, perception of community awareness, existing prehospital care/systems, in-hospital stroke care availability, and specific issues faced.

Results: Eighty-three doctors in India participated in the survey (43% response rate). Most of the respondents worked in private hospitals (68%) and urban areas (76%). While 89% of hospitals had ambulance services, over 33% reported that patients had to pay for ambulance transport. Among respondents, 12% reported a community stroke care network, with infrequent prehospital procedures such as random blood glucose measurement (22%), stroke identification (15.7%), "last seen normal" documentation (14.5%), and low prehospital notification to hospitals (5%). Delays in referral from peripheral centers were reported by 73% of respondents. Most hospitals had standard operating procedures (SOPs) (84%), computed tomography (CT) (94%), magnetic resonance imaging (MRI) (85%), and offered intravenous thrombolysis (IVT) (77%). However, 24 h availability of CT was reported only by 6%, MRI by 19% and IVT by 12%. Nearly half (45%) reported treatment with thrombolysis was not covered by insurance. Mechanical thrombectomy was available in 34% of hospitals and 63% of hospitals conducted in-hospital audits for stroke patients.

Conclusions: The capabilities of stroke-catering hospitals in urban settings are encouraging, with many having SOPs, imaging capabilities, and thrombolysis and mechanical thrombectomy services. However, there is much room for improvement, in making the essential stroke care services financially accessible to all and available around the clock.

Introduction: The primary objective of this study was to assess the effectiveness of the clinical decision tool (CDT) in trauma patients, providing a comparable ability to rule out thoracolumbar (TL) fractures as traditional imaging methods. The goal is to facilitate early clearance of the TL spine without an immediate requirement for radiological tests, thereby minimizing unnecessary utilization of TL-spine imaging.

Methods: A prospective, observational study was conducted on trauma patients with suspected TL injury. To achieve early TL clearance, the CDT assessed criteria such as absence of pain, tenderness, and pain-free axial movement and flexion. The study enrolled alert trauma patients with thoracic and/or lumbar spine injuries, defined by the Glasgow Coma Scale of 15. The study excluded patients not aligning with CDT criteria, such as those who received intravenous opioid analgesia within 4 h and those unable to stand due to suspected pelvic or lower limb injuries.

Results: Following the completion of the CDT steps, there were 31 true negative cases, signifying the absence of TL fractures according to both CDT and imaging studies. The sensitivity of the CDT was 99.38% (95% confidence interval [CI]: 96.59%-99.98%), specificity 9.1% (95% CI: 6.30%-12.73%), negative predictive value (NPV) 96.87% (95% CI: 81.02%-99.56%), positive predictive value (PPV) 34.19% (95% CI: 33.38%-35.00%), negative likelihood ratio (LHR) 0.07 (95% CI: 0.01-0.49), and positive LHR 1.09 (95% CI: 1.06-1.13). The sensitivity, specificity, NPV, PPV, negative LHR, and positive LHR varied with each step in the CDT. Notably, the overall sensitivity was high; however, the stepwise sensitivity decreased, albeit with an improvement in specificity with each further step in the tool. The overall sensitivity in the study cohort (n = 500) was high; however, the stepwise sensitivity decreased, albeit with an improvement in the specificity.

Conclusions: The CDT to rule out TL fracture is a feasible bedside stepwise tool in fully awake trauma patients after a thorough clinical neurological examination on arrival. The tool could help Level II or III trauma centers avoid secondary triage to the higher center.

Lemierre's syndrome is a rare disease characterized by thrombophlebitis of the internal jugular vein and metastasis to distant organs. It occurs after an anaerobic infection of the larynx or dental region; the central nervous system involvement is infrequent. A 50-year-old woman presented with impaired consciousness. She had undergone several days of dental treatment for a toothache before presentation. Contrast-enhanced computed tomography (CT) revealed a head-and-neck abscess and a massive thrombus in the internal jugular vein, and a diagnosis of Lemierre's syndrome was made. After symptoms improved with surgical drainage and antimicrobial therapy, the patient was discharged on day 58. In this case, Lemierre's syndrome was complicated by a venous stroke caused by venous congestion due to a massive cerebral venous thrombus. Venous stroke due to thrombi may occur in patients with Lemierre's syndrome, and magnetic resonance imaging or CT with venous phase imaging may aid in the diagnosis.