Triage Protocol Research Articles

SPECTRUM OF ORAL AND MAXILLOFACIAL SURGERY PATIENTS SEEN AT TRIAGE WITH SUBSEQUENT EMERGENCY TREATMENT PROVIDED – A CLINICAL STUDY AT SMBBIT

Oral and maxillofacial injuries constitute a significant portion of trauma cases in emergency departments, often resulting in life-threatening complications and sometimes death. Effective triage is crucial for prioritizing care, especially in resource-limited settings. Despite the importance of standard protocols, many institutions lack uniform guidelines for managing these complex injuries, which can lead to adverse patient outcomes. Objectives: To explore the clinical presentation patterns of oral and maxillofacial trauma patients at triage, focusing on injury types and patient demographics while documenting initial emergency interventions administered. Methods: This descriptive cross-sectional study was conducted at SMBBIT over six months, involving patients presenting with OMFS Trauma sustained at Emergency Room. Data were collected using a pre-designed pro forma and analyzed using SPSS software for descriptive statistics. Results: A total of 73 patients were included, predominantly male (84.94%), with a mean age of 35.2 years. Road traffic accidents were the leading cause of injury (68.5%). Most patients were self-referred (37%), and 82.2% had no significant co-morbidities. Imaging revealed comminuted pan-facial fractures (37.5%) as the most common diagnosis. Following triage assessment, 80.8% required hospitalization, with 32.2% undergoing immediate surgical interventions, including open reduction internal fixation, closed reduction and soft tissue closure. Conclusion: This study underscores the importance of effective triage in managing oral and maxillofacial surgical patients, particularly in polytrauma cases, with a focus on a multidisciplinary team (MDT) approach. Our findings suggest that incorporating oral and maxillofacial surgical emergency care into triage protocols and resource allocation can improve care quality and reduce patients’ complications. Inclusion of oral and maxillofacial surgeons in Emergency Trauma teams in Pakistan is essential for enhancing collaboration and improving patient survival outcomes.

Extended HPV genotyping by the BD Onclarity assay: concordance with screening HPV-DNA assays, triage biomarkers, and histopathology in women from the NTCC2 study.

Large randomized clinical trials have demonstrated that human papillomavirus (HPV) testing for high-risk types is more effective than cytology in detecting pre-cancerous lesions and preventing cervical cancer. Its use is being implemented in cervical cancer screening in several countries. The most recent guidelines recommend a risk-based management. It is therefore important to assess the individual risk of having/developing high-grade lesions of women testing high-risk HPV-positive. A crucial viral factor influencing the risk is the HPV genotype since different types are associated to different carcinogenetic risks. Understanding the degree of concordance among different assays targeting either HPV presence/type(s) or cellular morphology and proteins' expression provides knowledge useful to better define how these tests can be used in screening protocols for an effective triage and to anticipate the possible implementation issues. Our study shows that the concordance between tests is higher when the infections have a higher probability of producing a clinically relevant lesion.

Assessing the Quality of an Online Democratic Deliberation on COVID-19 Pandemic Triage Protocols for Access to Critical Care in an Extreme Pandemic Context: Mixed Methods Study.

Online democratic deliberation (ODD) may foster public engagement in new health strategies by providing opportunities for knowledge exchange between experts, policy makers, and the public. It can favor decision-making by generating new points of view and solutions to existing problems. Deliberation experts recommend gathering feedback from participants to optimize future implementation. However, this online modality has not been frequently evaluated. This study aims to (1) assess the quality of an ODD held in Quebec and Ontario, Canada, on the topic of COVID-19 triage protocols for access to critical care in an extreme pandemic context and (2) determine its transformative aspect according to the perceptions of participants. We conducted a simultaneous ODD in Quebec and Ontario on May 28 and June 4, 2022, with a diversified target audience not working in the health care system. We used a thematic analysis for the transcripts of the deliberation and the written comments of the participants related to the quality of the process. Participants responded to a postdeliberation questionnaire to assess the quality of the ODD and identify changes in their perspectives on COVID-19 pandemic triage protocols after the deliberation exercise. Descriptive statistics were used. An index was calculated to determine equality of participation. The ODD involved 47 diverse participants from the public (n=20, 43% from Quebec and n=27, 57% from Ontario). Five themes emerged: (1) process appreciation, (2) learning experience, (3) reflecting on the common good, (4) technological aspects, and (5) transformative aspects. A total of 46 participants responded to the questionnaire. Participants considered the quality of the ODD satisfactory in terms of process, information shared, reasoning, and videoconferencing. A total of 4 (80%) of 5 participants reported at least 1 change of perspective on some of the criteria and values discussed. Most participants reported that the online modality was accessible and user-friendly. We found low polarization when calculating equal participation. Improvements identified were measures to replace participants when unable to connect and optimization of time during discussions. Overall, the participants perceived the quality of ODD as satisfactory. Some participants self-reported a change of opinion after deliberation. The online modality may be an acceptable alternative for democratic deliberation but with some organizational adaptations.

Neonatal presentations in the pediatric emergency department: A decade-long retrospective analysis

BackgroundThe global increase in neonatal visits to Pediatric Emergency Departments (PEDs) underscores the need to better understand the factors driving these visits and their implications. The often vague and nonspecific symptoms of neonates pose significant challenges for clinicians and caregivers in determining the appropriate level of care, impacting the frequency of return visits and overall effectiveness of discharge education. ObjectiveThis study aims to compile the most common chief complaints of neonates in the PED and analyze their association with admission rates and final ED diagnoses to inform educational interventions for caregivers and medical personnel. MethodsThis was a retrospective review of data from medical records from neonatal (≤30 days of life) presentations to the PED at a quaternary care medical center in Portland, Oregon, USA from January 2012 to December 2022. Results3175 patient encounters were identified, of which one-third (38 %) were admitted to the hospital. Certain complaints had higher admission rates than the average: temperature instability (71 % for “fever” and 89 % for “hypothermia”), breast concerns (68 %), abnormal lab results (63 %), “seizures” (53 %), and cardiac concerns (54 %). Notably, neonates presented on DOL 0 and DOL 1 had elevated admission rates of 77 % and 66 %, respectively. ConclusionThis study identified specific complaints that were most likely to result in hospital admissions and return visits to the ED. This can guide targeted educational interventions for caregivers and ED providers and refinement of triage protocols to ensure that neonates receive the most appropriate and efficient care.

Exploring the potential of artificial intelligence models for triage in the emergency department

ABSTRACT Objective To perform a comparative analysis of the three-level triage protocol conducted by triage nurses and emergency medicine doctors with the use of ChatGPT, Gemini, and Pi, which are recognized artificial intelligence (AI) models widely used in the daily life Materials and methods The study was prospectively conducted with patients presenting to the emergency department of a tertiary care hospital from 1 April 2024, to 7 April 2024. Among the patients who presented to the emergency department over this period, data pertaining to their primary complaints, arterial blood pressure values, heart rates, peripheral oxygen saturation values measured by pulse oximetry, body temperature values, age, and gender characteristics were analyzed. The triage categories determined by triage nurses, the abovementioned AI chatbots, and emergency medicine doctors were compared. Results The study included 500 patients, of whom 23.8% were categorized identically by all triage evaluators. Compared to the triage conducted by emergency medicine doctors, triage nurses overtriaged 6.4% of the patients and undertriaged 3.1% of the yellow-coded patients and 3.4% of the red-coded patients. Of the AI chatbots, ChatGPT exhibited the closest triage approximation to that of emergency medicine doctors; however, its undertriage rates were 26.5% for yellow-coded patients and 42.6% for red-coded patients. Conclusion The undertriage rates observed in AI models were considerably high. Hence, it does not yet seem appropriate to solely rely on the specified AI models for triage purposes in the emergency department.

Accuracy of a Commercial Large Language Model (ChatGPT) to Perform Disaster Triage of Simulated Patients Using the Simple Triage and Rapid Treatment (START) Protocol: Gage Repeatability and Reproducibility Study.

The release of ChatGPT (OpenAI) in November 2022 drastically reduced the barrier to using artificial intelligence by allowing a simple web-based text interface to a large language model (LLM). One use case where ChatGPT could be useful is in triaging patients at the site of a disaster using the Simple Triage and Rapid Treatment (START) protocol. However, LLMs experience several common errors including hallucinations (also called confabulations) and prompt dependency. This study addresses the research problem: "Can ChatGPT adequately triage simulated disaster patients using the START protocol?" by measuring three outcomes: repeatability, reproducibility, and accuracy. Nine prompts were developed by 5 disaster medicine physicians. A Python script queried ChatGPT Version 4 for each prompt combined with 391 validated simulated patient vignettes. Ten repetitions of each combination were performed for a total of 35,190 simulated triages. A reference standard START triage code for each simulated case was assigned by 2 disaster medicine specialists (JMF and MV), with a third specialist (LC) added if the first two did not agree. Results were evaluated using a gage repeatability and reproducibility study (gage R and R). Repeatability was defined as variation due to repeated use of the same prompt. Reproducibility was defined as variation due to the use of different prompts on the same patient vignette. Accuracy was defined as agreement with the reference standard. Although 35,102 (99.7%) queries returned a valid START score, there was considerable variability. Repeatability (use of the same prompt repeatedly) was 14% of the overall variation. Reproducibility (use of different prompts) was 4.1% of the overall variation. The accuracy of ChatGPT for START was 63.9% with a 32.9% overtriage rate and a 3.1% undertriage rate. Accuracy varied by prompt with a maximum of 71.8% and a minimum of 46.7%. This study indicates that ChatGPT version 4 is insufficient to triage simulated disaster patients via the START protocol. It demonstrated suboptimal repeatability and reproducibility. The overall accuracy of triage was only 63.9%. Health care professionals are advised to exercise caution while using commercial LLMs for vital medical determinations, given that these tools may commonly produce inaccurate data, colloquially referred to as hallucinations or confabulations. Artificial intelligence-guided tools should undergo rigorous statistical evaluation-using methods such as gage R and R-before implementation into clinical settings.

Ethical boundary decisions in intensive care medicine

Ethical decision-making is acornerstone of intensive care and emergency medicine. In acute scenarios, clinicians often face rapid, high-stakes decisions concerning life and death, made more challenging by time constraints and incomplete information. These decisions are further complicated by economic constraints, limited resources, and evolving technological capabilities. What decision-making aids and factors can be employed in ethical borderline cases within intensive care medicine? Fundamental ethical principles such as patient autonomy, beneficence, non-maleficence, and justice form the basis for medical treatment decisions. Evaluating the patient's will through advanced directives or proxy consensus is crucial, although advanced directives can be ambiguous. Assessing quality of life is increasingly important, with instruments such as the Clinical Frailty Scale (CFS) being utilized. For older patients, aholistic approach is recommended, focusing on overall health rather than chronological age. In patients with advanced underlying diseases, amultidisciplinary dialogue is essential. Decision-making in intensive care medicine requires careful consideration of medical, ethical, and individual factors. Despite advances in artificial intelligence and prognostic models, human judgment remains crucial. During periods of resource scarcity, ethically sound triage protocols are required. The challenge lies in applying these principles and factors in clinical practice while respecting the individuality of each patient.

Learner evaluation of an immersive virtual reality mass casualty incident simulator for triage training

BackgroundTo minimize loss of life, modern mass casualty response requires swift identification, efficient triage categorization, and rapid hemorrhage control. Current training methods remain suboptimal. Our objective was to train first responders to triage a mass casualty incident using Virtual Reality (VR) simulation and obtain their impressions of the training’s quality and effectiveness.We trained subjects in a triage protocol called Sort, Assess, Lifesaving interventions, and Treatment and/or Transport (SALT) Triage then had them respond to a terrorist bombing of a subway station using a fully immersive virtual reality simulation. We gathered learner reactions to their virtual reality experience and post-encounter debriefing with a custom electronic survey. The survey was designed to gather information about participants’ demographics and prior experience, including roles, triage training, and virtual reality experience. We then asked them to evaluate the training and encounter and the system’s potential for training others.ResultsWe received 375 completed evaluation surveys from subjects who experienced the virtual reality encounter. Subjects were primarily paramedics, but also included medical learners as well as other emergency medical service (EMS) professionals. Most participants (95%) recommended the experience for other first responders and rated the simulation (95%) and virtual patients (91%) as realistic. Ninety-four percent (94%) of participants rated the virtual reality simulator as “excellent” or “good.” We observed some differences between emergency medical service and medical professionals regarding their prior experience with disaster response training and their opinions on how much the experience contributed to their learning. We observed no differences between subjects with extensive virtual reality experience and those without.ConclusionsOur virtual reality simulator is an automated, customizable, fully immersive virtual reality system for training and assessing personnel in the proper response to a mass casualty incident. Participants perceived the simulator as an adequate alternative to traditional triage and treatment training and believed that the simulator was realistic and effective for training. Prior experience with virtual reality was not a prerequisite for the use of this system.

ThP7.7 - Investigating Trauma Patient Undertriage in Riyadh's Prehospital System

Abstract Aims This study aims to analyze the extent of prehospital undertriage by assessing the transfer rates of critically ill trauma patients to non-trauma centers in Riyadh, Saudi Arabia. Methods We analyzed 102,895 incident reports from 50 prehospital dispatch centers in Riyadh using data from the Saudi Red Crescent Authority between January 2021 and March 2023. Inclusion criteria comprised all adult trauma cases classified under red criteria. We mapped regional distribution and delineated trauma center service areas reachable within specific timeframes using QGIS. Dispatch centers were grouped based on these service areas to evaluate undertriage. Data analysis was performed using SPSS 26 and R statistics. Results Approximately a third of the red criteria cases (n=5105/17983, 28.8%) were undertriaged to a non-trauma center primarily involving blunt traumatic injuries (n=3316, 65%) and, to a lesser degree, penetrating injuries (n=1604, 31.4%). Undertriage rates were higher in the 45- and 60-minute service areas (n=930/2917, 31.9% and n=20/45, 44.4%, respectively), particularly in the east (n=2013/5105, 39.4%) and north (n=1522/5105, 29.8%). Nearly a third of undertriaged cases (n=1601/5105, 31.4%) experienced delays, ranging from 4.5% to 66.8% across dispatch centers. The highest undertriage rates were observed in specific dispatch centers, such as Alkharj and Alamana, located in the 30- and 45-minute service areas, respectively. Conclusions The study reveals higher undertriage rates in areas farther from trauma centers, indicating a greater likelihood of non-trauma center transfers. To enhance access to trauma care for critically ill patients, there is a need for infrastructure expansion and stricter implementation of triaging protocols. Further research should investigate the impact of non-trauma center transfers on mortality in the region.

Are We Imaging Gently in Indiana? A System-Wide Population-Based Study of Chest CT Use in the Pediatric Trauma Population.

Over the past decade, there has been a significant effort to decrease radiation exposure in pediatric trauma patients. The objective of this study was to determine if trauma centers (TCs) and nontrauma centers (non-TCs) are practicing in line with this effort. We hypothesized that TCs would demonstrate a significant decrease in the use of chest computed tomography (CT) during the study period, whereas non-TC would show no change in chest CT use. We queried a state-wide database from 2010 to 2020 for pediatric trauma encounters at TCs and non-TCs within a single large health system. All transfer encounters were excluded. Chest CTs and chest radiographs (CXRs) were performed, and injury diagnosis codes were extracted for each encounter. Chest CT use and incidence of thoracic injuries were compared between TCs and non-TCs. A total of 13,014 encounters were included, of which 85.8% occurred at TCs and 14.2% occurred at non-TCs. There were significant differences between TC and non-TC encounter demographics. During the study period, the percentage of trauma encounters in which chest CT was obtained increased yearly at both TCs and non-TCs. Among encounters where both modalities were performed in the first 24 hours, chest CT was performed before CXR in 0.4% of TC and 0.1% of non-TC encounters ( P = 0.086). Among encounters without thoracic injury, chest CT was performed in 5.2% of cases at non-TCs and 4.5% of cases at TCs ( P < 0.001). In the trauma encounters studied, chest CT was performed prior to CXR more frequently at TCs compared to non-TCs. These data may reflect regional trauma triage protocols, availability of chest CT, or differences in education between institutions. Whereas TCs may see more severely injured patients more frequently, education regarding conservative CT imaging principles should be reinforced through multidisciplinary efforts.

Experimentation of AI Models Towards the Prediction of Medium-Risk Emergency Department Cases Disposition Outcome.

The overwhelming volume of patients in emergency departments (EDs) is a significant problem that hinders the delivery of high quality healthcare. Despite their great value, triage protocols are challenging to put into practice. This paper examines the utility of prediction models as a tool for clinical decision support, with a focus on medium-severity patients as defined by the ESI algorithm. 689 cases of medium-risk patients were gathered from the AHEPA hospital, evaluated, and their data fed three classifiers: XGBoost (XGB), Random Forest (RF) and Logistic Regression (LR), with the prediction goal being the outcome of their visit, i.e. admission or discharge. Essential features for the prediction task were determined using feature importance and distribution analysis. Despite having many missing values or high sparsity datasets, several symptoms and metrics are recommended as crucial for outcome prediction. When fed the patients' vital signs, XGB achieved an accuracy score of 91.30%. Several chief complaints were also proven beneficial. Prediction models can, in general, not only lessen the drawbacks of triage implementation, but also enhance its delivery.

Hospital referrals, exclusions from hospital care, and deaths among long-term care residents in the Community of Madrid during the March–April 2020 COVID-19 epidemic period: a multivariate time series analysis

BackgroundFrom March 7 to April 7, 2020, the Community of Madrid (CoM), Spain, issued interventions in response to the COVID-19 epidemic, including hospital referral triage protocols for long-term care facility (LTCF) residents (March 18–25). Those with moderate to severe physical disability and cognitive impairment were excluded from hospital referral. This research assesses changes in the association between daily hospital referrals and the deaths of LTCF residents attributable to the triage protocols.MethodsDaily hospital referrals and all-cause mortality from January to June 2020 among LTCF residents and the CoM population aged 65 + were obtained. Significant changes in LTCF resident daily hospital referrals time series, and in-LTCF and in-hospital daily deaths, were examined with tests for breaks and regimes in time series. Multivariate time series analyses were conducted to test changes in the associations between LTCF resident hospital referrals with daily deaths in-hospital and in-LTCF, and in the CoM population aged 65 + when the triage protocols were implemented.ResultsAmong LTCF residents, hospital referrals declined sharply from March 6 to March 23, 2020. Increases in LTCF residents' daily deaths occurred from March 7 to April 1, followed by a decrease reaching pre-epidemic levels after April 28. The daily ratio of in-hospital deaths to in-LTCF deaths reached its lowest values from March 9 to April 19, 2020. The four versions of the triage protocol, published from March 18 to March 25 had no impact on further changes in the association of hospital referrals with daily deaths of LTCF residents in-hospital or in-LTCF.ConclusionsWhile LTCF residents’ deaths increased, hospital referrals of LTCF residents decreased with the introduction of the CoM governmental interventions on March 7. They were implemented before the enactment of the triage protocols, protecting hospitals from collapse while overlooking the need for standards of care within LTCFs. The CoM triage protocols sanctioned the existing restrictions on hospital referrals of LTCF residents.

Procedural sedation and analgesia in Swiss Pediatric Emergency Departments: a national subgroup analysis of a European cross-sectional survey

This study aims to provide a national overview of procedural sedation and analgesia practices within Pediatric Emergency Departments in Switzerland, focusing on the availability of pharmacologic agents, the presence of safety protocols, the utilization of non-pharmacological interventions, and to identify specific local limitations. We conducted a detailed subgroup analysis of Swiss data from a European cross-sectional survey on emergency department pediatric Procedural Sedation and Analgesia (PSA) practice, isolating data from Swiss sites. The survey, conducted between November 2019 and March 2020, covered various aspects of procedural sedation and analgesia practices. The survey included nine Swiss sites, treating a total of 252,786 patients in 2019. Topical analgesia, inhaled equimolar nitrous oxide-oxygen mixture, and ketamine were largely available. All sites had nurse-directed triage protocols in place; however, opioid administration was included in the protocols in only 66% of sites. Only 33% of hospitals reported common use of intravenous sedation. Barriers to procedural sedation and analgesia implementation included staffing shortages (89% of sites) and lack of dedicated spaces (78%).Conclusions: Despite a broad array of pharmacological and options available in Swiss Pediatric Emergency Departments, challenges remain in standardizing practices across the country. Limited space and staffing and enhancing training on non-pharmacological interventions were identified as potential areas for improving pain and anxiety management in pediatric emergency care. This study underscores the need for national guidelines to harmonize emergency department PSA practices across Switzerland, ensuring all children have access to effective and evidence-based procedural comfort.What is Known:• Recent research, conducted in European emergency departments, suggests that in pediatric Procedural Sedation and Analgesia (PSA) resources are limited, and practice is heterogeneousWhat is New:• Swiss pediatric hospitals offer a wide range of pharmacological options for pain and anxiety management. However, significant barriers to PSA were identified. These include external control of intravenous sedation and insufficient integration of non-pharmacological interventions, such as child life specialists and procedural hypnosis. National guidelines are needed to harmonize PSA practices

A Cross-Sectional Review of HIV Screening in High-Acuity Emergency Department Patients: A Missed Opportunity.

Emergency department (ED) patients requiring immediate treatment often bypass a triage process that includes HIV screening. In this study we aimed to investigate the potential missed opportunity to screen these patients for HIV. We conducted this cross-sectional study in a municipal ED over a six-week period between June-August 2019. The patient population in this study arrived in the ED as a pre-notification from prehospital services or designated by the ambulance or walk-in triage nurse as requiring immediate medical attention. Medical student researchers collected demographic data and categorized patients into three clinical groups (trauma, medical, psychiatric). They documented the patient's eligibility for HIV screening as determined by a physician and confirmed that the patient met criteria of clear mental status, controlled pain, stable vital signs, and ability to contribute to a medical history and physical examination. The student researchers did this at initial presentation and then again during the patient's ED stay of up to eight hours. The study outcomes measured the percentage of total patients within each clinical group (trauma, medical, psychiatric) able to engage in the HIV screening process upon arrival and during an eight-hour ED stay. On average, 700 patients per month are announced on arrival via overhead page, indicating that they require immediate medical attention. During the six-week study, 205 patients (approximately 20% of total) were enrolled: 114 trauma; 56 medical; and 35 psychiatric presentations. The average patient age was 53; 60% of patients were male. Niney-eight (48%) patients were eligible for HIV screening within an eight-hour ED stay; 63 (31%) were able to be screened upon initial presentation and 35 (17%) in the first eight hours of their ED visit. Within medical and trauma subgroups, there was no significant difference in the proportion (36%) of patients that could be screened upon presentation. Among the psychiatric presentations, only five (14%) were able to be screened during their hospital stay. Triage protocols for high-acuity medico-surgical patients resulted in a missed opportunity to screen 48% of patients for HIV. Acute psychiatric patients represented a particular missed opportunity. We advocate for universal HIV screening, facilitated through electronic best practice advisories and a modified triage tailored to higher acuity patients. Implementing these changes would ensure that HIV screening is not overlooked in high-acuity ED patients, leading to early detection and timely interventions.

Comparison of the Clinical Manifestations of Acute Coronary Syndrome Between Diabetic and Non-diabetic Patients: A Systematic Review and Meta-Analysis.

The presentation of acute coronary syndrome (ACS) in patients with type 2 diabetes mellitus (T2DM) may differ from that of non-diabetic patients, potentially leading to delayed diagnosis and treatment. This meta-analysis aimed to compare the clinical presentation of ACS between diabetic and non-diabetic patients. A systematic search of PubMed, Excerpta Medica database (EMBASE), and Web of Science databases was conducted for observational studies published from January 2010 onwards. Studies comparing ACS symptoms between diabetic and non-diabetic patients were included. The odds ratio (OR) with 95% confidence intervals (CI) was calculated using a random-effects model. Eight studies with a total of 29,503 patients (23.03% diabetic) were included. Diabetic patients were significantly less likely to present with chest pain compared to non-diabetic patients (OR: 0.43, 95% CI: 0.30 to 0.63, p<0.001). Anxiety (OR: 2.20, 95% CI: 1.17-4.14), shortness of breath (OR: 1.49, 95% CI: 1.11-2.01), and neck pain (OR: 1.62, 95% CI: 1.03-2.54) were significantly more common in diabetic patients. Sweating/cold sweat was less common in diabetics (OR: 0.60, 95% CI: 0.34-1.07), though not statistically significant. Other symptoms showed minimal differences between groups. High heterogeneity was observed across studies for most symptoms. This meta-analysis demonstrates that diabetic patients with ACS are less likely to experience typical chest pain and more likely to present with atypical symptoms such as anxiety, shortness of breath, and neck pain. These findings emphasize the need for healthcare providers to maintain high vigilance for atypical ACS presentations in diabetic patients. Tailored diagnostic approaches, modified triage protocols, and enhanced patient education are crucial to improving the timely diagnosis and treatment of ACS in this high-risk population.

Predicting sepsis at emergency department triage: Implementing clinical and laboratory markers within the first nursing assessment to enhance diagnostic accuracy.

Early identification of sepsis in the emergency department (ED) triage is both valuable and challenging. Numerous studies have endeavored to pinpoint clinical and biochemical criteria to assist clinicians in the prompt diagnosis of sepsis, but few studies have assessed the efficacy of these criteria in the ED triage setting. The aim of the study was to explore the accuracy of clinical and laboratory markers evaluated at the triage level in identifying patients with sepsis. A prospective study was conducted in a large academic urban hospital, implementing a triage protocol aimed at early identification of septic patients based on clinical and laboratory markers. A multidisciplinary panel of experts reviewed cases to ensure accurate identification of septic patients. Variables analyzed included: Charlson comorbidity index, mean arterial pressure (MAP), partial pressure of carbon dioxide (PetCO2), white cell count, eosinophil count, C-reactive protein to albumin ratio, procalcitonin, and lactate. A total of 235 patients were included. Multivariable analysis identified procalcitonin ≥1 ng/mL (OR 5.2; p < 0.001); CRP-to-albumin ratio ≥32 (OR 6.6; p < 0.001); PetCO2 ≤ 28 mmHg (OR 2.7; p = 0.031), and MAP <85 mmHg (OR 7.5; p < 0.001) as independent predictors for sepsis. MAP ≥85 mmHg, CRP/albumin ratio <32, and procalcitonin <1 ng/mL demonstrated negative predictive values for sepsis of 90%, 89%, and 88%, respectively. Our study underscores the significance of procalcitonin and mean arterial pressure, while introducing CRP/albumin ratio and PetCO2 as important variables to consider in the very initial assessment of patients with suspected sepsis in the ED. Early identification of sepsis since the emergency department (ED) triage is challenging Implementing the ED triage protocol with simple clinical and laboratory markers allows to recognize patients with sepsis with a very good discriminatory power (AUC 0.88).

Budućnost trijaže

Introduction. Triage is the assessment of the patient’s condition in order to determine the urgency of treatment. It is usually performed by a nurse, often using a five-level protocol.Aim. To conduct a comparative analysis of the accuracy of categorization and diagnosis between ChatGPT (a chatbot which uses machine learning algorithms) and traditional medical triage, as well as to provide recommendations on how artificial intelligence can improve the work of medical professionals in patient triage.Methods. The literature selected for comparison is “Emergency Nursing: 5-Tier Triage Protocols”. The most common diagnoses for which patients present to the emergency department were selected for research. Then, triage categories were selected and case presentations were created. These cases were presented to ChatGPT, and its responses were comparedwith the literature.Results. ChatGPT correctly categorizes triage cases in 43.33% of cases, with an average category difference of 0.7. Although it made mistakes in 1 or 2 categories in some cases, it assigned diagnoses to a higher category for patient safety.Discussion. Comparison with other studies shows that errors occur in up to 40% of nurse decisions due to various factors such as inexperience, speed of work, and a large number of patients, which could be reduced by additional artificial intelligence assistance. It is necessary to take into account factors that artificial intelligence cannot take over and that it can only be a help, not a substitute for medical personnel.Conclusion. ChatGPT has potential for usage in medical triage, but with improvements in specialized training of models on medical data and terminology to improve the accuracy and reliability of the model.

The Diagnostic Performance of Lung Sonography to Assess Pregnant Patients Infected With SARS-CoV-2 Based on Varied Clinical Severity

Objective: The aim of this study was to assess the diagnostic accuracy of lung ultrasonography (LUS) and a local clinical triage protocol complicated by varied clinical severities of COVID-19, in pregnant patients who had computed tomography (CT) and reverse transcription polymerase chain reaction (RT-PCR) results. Materials and Methods: This retrospective cohort study was conducted in a tertiary maternity unit, during the pandemic, between March 2020 and November 2021. The pregnant patients included in the study were diagnostically categorized as asymptomatic, mild, moderate, severe, and critical, upon hospital admission and their presenting disease severity. All of the patients, as well as those with mild and asymptomatic severity, LUS were evaluated accuracy based on their RT-PCR results. Results: In total, 1531 pregnant patients underwent a primary emergency department clinical evaluation, in the pandemic clinic. The sensitivity, specificity, positive predictive value, and negative predictive values for LUS were 70.5%, 72.45%, 88.1%, and 45.8%, respectively. Conclusion: In this large cohort of patients, LUS was shown to be quick, safe, effective, and reproducible diagnostic tool for the screening of COVID-19 pneumonia, in this obstetric practice. This clinical evidence also provided a new set of triage strategies, during the pandemic, for pregnant patients.

Midwife-led obstetric triage to increase providers’ knowledge and improve timeliness of care: A pre and posttest design

BackgroundResearch in low- and middle-income countries has shown that maternal mortality is directly related to inadequate or absent obstetric (OB) triage systems. Standard triage systems and knowledge on triaging for obstetric emergencies are often absent or lacking in most healthcare systems in Liberia. ObjectiveThe objective of this research was to address the third delay defined as receiving adequate, quality care when a facility is reached by increasing knowledge through the establishment of a midwife-led, hospital-based OB triage system to stratify care based on risk and imminence of birth and to improve timely assessment at two district referral hospitals. MethodsA quasi-experimental study design using a pre/post survey was employed for a midwife-led OB triage training course. Using a train-the-trainer model, five midwives were trained as champions, who in turn trained an additional 62 providers. Test results were analyzed with the R statistical software using paired sample t-test and descriptive statistics. ResultsPretest results revealed a knowledge and practice gap among OB providers on key components of the standard triage package. However, post-test mean scores were significantly higher (M = 79.6, SD = 2.32) than pre-test mean scores (M = 59.0, SD = 2.30) for participants following a 2-day training (p = <0.001). DiscussionFollowing a structured OB triage training, participants showed significant improvement in post-test OB triage scores. ConclusionStandard OB triage protocols incorporated into the policies and procedures of obstetric wards have the potential to improve knowledge and practice, addressing the third delay and reducing preventable, obstetrics-related deaths.

Implementation of a workshop for mass casualty incident triage training using an immersive virtual reality simulation.

We offered a workshop at the 2023 annual meeting of the Society for Academic Emergency Medicine to teach the Sort-Assess-Lifesaving Interventions-Treatment/Transport (SALT) triage protocol for responding to mass casualty incidents (MCIs) using an immersive virtual reality (VR) simulator. Here, we report workshop outcomes. After a 1-h didactic on the basics of triage protocols, workshop participants rotated through three skill stations at which learners learned how to use the VR headset and controllers, practiced applying SALT triage skills through a tabletop exercise, and then finally used our VR simulator for training responses to MCIs. During their encounter with VR, participants applied their new knowledge to triaging and treating the victims of an explosion in a virtual subway station. After a brief orientation, participants entered the scene to treat and triage virtual patients who had various life-threatening (e.g., acute arterial bleed, penetrating injury, pneumothorax, amputations) and non-life-threatening injuries (lacerations, sprains, hysteria, confusion). The simulator generated a performance report for each workshop attendee to be used for debriefing by a skilled facilitator. Participants were mostly trainees (residents), all of whom properly initiated their encounter with global sort commands (walk and wave) to identify the most critically injured. On average, participants correctly treated 92% of 18 injuries, with all bleeding injuries being properly controlled (tourniquets or wound packing). On average, participants correctly tagged 87.7% of 11 patients, but only took the pulse of 67% of the 11 patients. Learners had difficulty with cases involving embedded shrapnel and properly tagging patients who were stable after treatments. Our VR simulator provided a practical, portable, reproducible training and assessment system for preparing future emergency medical systems (EMS) medical directors to teach their EMS professionals the triage and lifesaving intervention treatment skills needed to save lives.