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The objective was to evaluate whether the error rate in the application of the triage system decreased after the introduction of daily auditing, and it was also evaluated if the agreement rate between physician and nurse on triage priority levels increased after the introduction of daily auditing and if the error-related variables in the pre-intervention period changed in the post-intervention period.A quasi-experimental study was performed with a pre-post design, between June 2019 and June 2021 in one emergency department.The accuracy and error rate of triage in the pre- and post-intervention period were compared. Univariate and multivariate logistic regression analyses were performed to explore the relationships between the variables related to the error. The comparison between the priority level assigned by the physician and the triage nurse was analysed using Cohen's K.Nine hundred four patients were enrolled in the pre-intervention period and 869 in the post-intervention period. The error rate in the pre-intervention period was 23.3% and in the post-intervention period was 9.7%. The concordance between the degree of priority expressed by the physician and the nurse varied from a quadratically weighted Cohen's K of 0.447 in the pre-intervention period to 0.881 in the post-intervention period.Daily auditing is a clinical procedure that improves the nurse's application of the triage system. Daily auditing has reduced errors by the nurse, improving performance and concordance with the physician.Triage systems are a key point for the stratification of the priority level of patients and it is therefore evident that they maintain high-quality standards. Through the practice of daily auditing, not only a reduction in the error rate, which ensures patient safety, but also an improvement in triage performance has been demonstrated.The study did not involve any patients during its conduction.

It is known that there has been an increase over the years in attacks by patients admitted to the emergency department (ED) on healthcare workers; it is unclear what effect the COVID-19 pandemic has on these attacks.to verify through a long-term time analysis the effect of COVID-19 on ED attacks on healthcare workers.a quasi-experimental interrupted time-series analysis on attacks on healthcare workers was performed from January 2017 to August 2021. The main outcome was the monthly rate of attacks on healthcare workers per 1000 general accesses. The pandemic outbreak was used as an intervention point.1002 attacks on healthcare workers in the ED were recorded. The rate of monthly attacks on total accesses increased from an average of 13.5 (SD 6.6) in the pre-COVID-19 era to 27.2 (SD 9.8) in the pandemic months, p lt; 0.001. The pandemic outbreak led to a significant increase in attacks on healthcare workers from 0.05/1000 attacks per month (p = 0.018), to 4.3/1000 attacks per month (p = 0.005).The COVID-19 pandemic has led to a significant increase in attacks on healthcare workers in the ED. Trends compared to pre-pandemic months do not seem to indicate a return to normality. Health institutions and policymakers should develop strategies to improve the safety of the working environment in hospitals and EDs.

Preliminary evidence seems to suggest a reduction in absolute terms of Emergency Department (ED) admissions for an acute psychiatric condition during the first months of the pandemic. The study aimed to test through a long-term time analysis the effect of COVID-19 on changes in ED visits for an acute psychiatric condition. A quasi-experimental interrupted time series analysis of admissions for acute psychiatric conditions to the Emergency Department of the Merano Hospital (Italy) was performed from January 2017 to August 2021. The main outcome was the monthly rate of ED accesses for an acute psychiatric condition reported per 1000 general admissions. The pandemic outbreak was used as an intervention point. 4398 ED admissions for an acute psychiatric condition were registered. The rate of monthly admissions over total admissions increased from a mean of March 17, 1000 (SD 2.9) admissions per month in the pre-COVID-19 era to September 22, 1000 (SD 4.5) in the pandemic months, p 0.001. In March 2020, the pandemic outbreak led to a significant increase in ED visits for an acute psychiatric condition (p = 0.013) and suicide attempts (p = 0.029), and to an increased need for pharmacological sedation in ED (p = 0.001). During the pandemic, although admissions and hospitalizations showed a non-significant decreasing trend, suicide attempts increased steadily and significantly. The outbreak of the COVID-19 pandemic caused a major increase in rates of admission to the ED for an acute psychiatric condition.

Repeat head CT in patients on direct oral anticoagulant therapy (DOACs) with minor traumatic brain injury (MTBI) after an initial CT scan without injury on arrival in the Emergency Department (ED) is a common clinical practice but is not based on clear evidence.To assess the incidence of delayed intracranial haemorrhage (ICH) in patients taking DOACs after an initial negative CT and the association of clinical and risk factors presented on patient arrival in the ED.This retrospective multicentre observational study considered patients taking DOACs undergoing repeat CT after a first CT free of injury for the exclusion of delayed ICH after MTBI. Timing between trauma and first CT in the ED and pre- or post-trauma risk factors were analysed to assess a possible association with the risk of delayed ICH.A total of 1426 patients taking DOACs were evaluated in the ED for an MTBI. Of these, 68.3% (916/1426) underwent a repeat CT after an initial negative CT and 24 h of observation, with a rate of delayed ICH of 1.5% (14/916). Risk factors associated with the presence of a delayed ICH were post-traumatic loss of consciousness, post-traumatic amnesia and the presence of a risk factor when the patient presented to the ED within 8 h of the trauma. None of the patients with delayed ICH at 24-h repeat CT required neurosurgery or died within 30 days.Delayed ICH is an uncommon event at the 24-h control CT and does not affect patient outcome. Studying the timing and characteristics of the trauma may indicate patients who may benefit from more in-depth management.

The sensitivity of triage systems in identifying acute cardiovascular events in patients presented to the emergency department with chest pain is not optimal. Recently, a clinical score, the Emergency Department Assessment of Chest Pain Score (EDACS), has been proposed for a rapid assessment without additional instruments. To evaluate whether the integration of EDACS into triage evaluation of patients with chest pain can improve the triage's predictive validity for an acute cardiovascular event, a single-center prospective observational study was conducted. This study involved all patients who needed a triage admission for chest pain between January 1, 2020, and December 31, 2020. All enrolled patients first underwent a standard triage assessment and then the EDACS was calculated. The primary outcome of the study was the presence of an acute cardiovascular event. The discriminatory ability of EDACS in triage compared with standard triage assessment was evaluated by comparing the areas under the receiver operating characteristic curve, decision curve analysis, and net reclassification improvement. The study involved 1,596 patients, of that 7.3% presented the study outcome. The discriminatory ability of triage presented an area under the receiver operating characteristic curve of 0.688 that increased to 0.818 after the application of EDACS in the triage assessment. EDACS improved the baseline assessment of priority assigned in triage, with a net reclassification improvement of 33.6% (p

OBJECTIVE Non-traumatic headache is a frequent reason for visits to the emergency department (ED). We evaluated the performance of the Manchester Triage System (MTS) in prioritising patients presenting to the ED with non-traumatic headache. METHODS In this single-centre observational retrospective study, we compared the association of MTS priority classification codes with a final diagnosis of a severe neurological condition requiring timely management (ischaemic or haemorrhagic stroke, subarachnoid haemorrhage, cerebral sinus venous thrombosis, central nervous system infection or brain tumour). The study was conducted and reported according to the STROBE statement. The overall prioritisation accuracy of MTS was estimated by the area under the receiver operating characteristic (ROC) curve. The correctness of triage prediction was estimated based on the "very urgent" MTS grouping. An undertriage was defined as a patient with an urgent and severe neurological who received a low priority/urgency MTS code (green/yellow). RESULTS Over 30 months, 3002 triage evaluations of non-traumatic headache occurred (1.7% of ED visits). Of these, 2.3% (68/3002) were eventually diagnosed with an urgent and severe neurological condition. The MTS had an acceptable prioritisation accuracy, with an area under the ROC curve of 0.734 (95% CI 0.668-0.799). The sensitivity of the MTS for urgent codes (yellow, orange and red) was 79.4% (95% CI 74.5-84.3), with a specificity of 54.1% (95% CI 52.9-55.3). The triage prediction was incorrect in only 6.3% (190/3002) of patients with headache. CONCLUSION The MTS is a safe and accurate tool for prioritising patients with non-traumatic headache in the ED. However, MTS may need further specific tools for evaluating the more complicated symptoms and for correctly identifying patients with urgent and severe underlying pathologies. RELEVANCE TO CLINICAL PRACTICE The triage nurse using MTS may need additional tools to improve the assessment of patients with headache, although MTS provides a good safety profile.

PURPOSE: Early detection of SARS-CoV-2 patients is essential to contain the pandemic and keep the hospital secure. The rapid antigen test seems to be a quick and easy diagnostic test to identify patients infected with SARS-CoV-2. To assess the possible role of the antigen test in the Emergency Department (ED) assessment of potential SARS-CoV-2 infection in both symptomatic and asymptomatic patients. METHODS: Between 1 July 2020 and 10 December 2020, all patients consecutively assessed in the ED for suspected COVID-19 symptoms or who required hospitalisation for a condition not associated with COVID-19 were subjected to a rapid antigen test and RT-PCR swab. The diagnostic accuracy of the antigen test was determined in comparison to the SARS-CoV-2 PCR test using contingency tables. The possible clinical benefit of the antigen test was globally evaluated through decision curve analysis (DCA). RESULTS: A total of 3899 patients were subjected to antigen tests and PCR swabs. The sensitivity, specificity and accuracy of the antigen test were 82.9%, 99.1% and 97.4% (Cohen's K = 0.854, 95% CI 0.826-0.882, p

BackgroundThe aim of this study was to investigate the association between serum albumin levels in the ED and the severity of SARS-CoV-2 infection.MethodsThis is a retrospective observational study conducted from 15 March 2020 to 5 April 2020 at the EDs of three different hospitals in Italy. Data from 296 patients suffering from COVID-19 consecutively evaluated at EDs at which serum albumin levels were routinely measured on patients’ arrival in the ED were analysed. Albumin levels were measured, and whether these levels were associated with the presence of severe SARS-CoV-2 infection or 30-day survival was determined. Generalised estimating equation models were used to assess the relationship between albumin and study outcomes, and restricted cubic spline (RCS) regression was used to plot the adjusted dose-effect relationship for possible clinical confounding factors.ResultsThe mean albumin level recorded on entry was lower in patients with severe SARS-CoV-2 infection than in those whose infections were not severe (3.5 g/dL (SD 0.3) vs 4 g/dL (SD 0.5)) and in patients who had died at 30 days post-ED arrival compared with those who were alive at this time point (3.3 g/dL (SD 0.3) vs 3.8 g/dL (SD 0.4)). Albumin ConclusionAlbumin levels measured on presentation to the ED may identify patients with SARS-CoV-2 infection in whom inflammatory processes are occurring and serve as a potentially useful marker of disease severity and prognosis.

Super-refractory status epilepticus (SRSE) is a status epilepticus (SE) that continues or recurs ≥24 h after the onset of anesthesia. We aimed to identify the predictors of progression to SRSE and the risk of 30-day mortality in patients with SRSE by using a machine learning technique.We reviewed consecutive SE episodes in patients aged ≥14 years at Baggiovara Civil Hospital (Modena, Italy) from 2013 to 2021. A classification and regression tree analysis was performed to develop a predictive model of progression to SRSE in SE patients. In SRSE patients, a multivariate analysis was conducted to identify predictors of 30-day mortality.We included 705 patients, 16% of whom (113/705) progressed to SRSE. Acute symptomatic hypoxic etiology and age ≤ 68.5 years predicted the highest risk (87.1%) of progression to SRSE. Etiology other than acute symptomatic hypoxic and absence of NCSE predicted the lowest risk (3.6%) of progression to SRSE. The predictive model was accurate in 96.1% of patients not evolving to SRSE and in 48.7% of those evolving to SRSE. Among patients with SRSE, 46.9% (53/113) died within 30 days compared to 25.2% (149/592) of patients without SRSE (p 0.001). Among patients with SRSE, older age was associated with increased 30-day mortality (odds ratio 1.075; 95% confidence interval: 1.031-1.112; p = 0.001).Acute symptomatic hypoxic etiology and younger age are major predictors of progression to SRSE. In patients with SRSE, older age is associated with increased risk of short-term mortality.

This study was undertaken to validate the accuracy of the Epidemiology-Based Mortality Score in Status Epilepticus (EMSE) in predicting the risk of death at 30 days in a large cohort of patients with status epilepticus (SE) using a machine learning system.We included consecutive patients with SE admitted from 2013 to 2021 at Modena Academic Hospital. A decision tree analysis was performed using the 30-day mortality as a dependent variable and the EMSE predictors as input variables. We evaluated the accuracy of EMSE in predicting 30-day mortality using the area under the receiver operating characteristic curve (AUC ROC), with 95% confidence interval (CI). We performed a subgroup analysis on nonhypoxic SE.A total of 698 patients with SE were included, with a 30-day mortality of 28.9% (202/698). The mean EMSE value in the entire population was 57.1 (SD = 36.3); it was lower in surviving compared to deceased patients (47.1, SD = 31.7 vs. 81.9, SD = 34.8; p .001). The EMSE was accurate in predicting 30-day mortality, with an AUC ROC of .782 (95% CI = .747-.816). Etiology was the most relevant predictor, followed by age, electroencephalogram (EEG), and EMSE comorbidity group B. The decision tree analysis using EMSE variables correctly predicted the risk of mortality in 77.9% of cases; the prediction was accurate in 85.7% of surviving and in 58.9% of deceased patients within 30 days after SE. In nonhypoxic SE, the most relevant predictor was age, followed by EEG, and EMSE comorbidity group B; the prediction was correct in 78.9% of all cases (89.6% in survivors and 46.1% in nonsurvivors).This validation study using a machine learning analysis shows that the EMSE is a valuable prognostic tool, and appears particularly accurate and effective in identifying patients with 30-day survival, whereas its performance in predicting 30-day mortality is lower and needs to be further improved.

Background: Infections in emergency departments (EDs) are insidious clinical conditions characterised by high rates of hospitalisation and mortality in the short-to-medium term. The serum albumin, recently demonstrated as a prognostic biomarker in septic patients in intensive care units, could be an early marker of severity upon arrival of infected patients in the ED. Aim: To confirm the possible prognostic role of the albumin concentration recorded upon arrival of patients with infection. Methods: A prospective single-centre study was performed in the ED of the General Hospital of Merano, Italy, between 1 January 2021 and 31 December 2021. All enrolled patients with infection were tested for serum albumin concentration. The primary outcome measure was 30-day mortality. The predictive role of albumin was assessed by logistic regression and decision tree analysis adjusted for Charlson comorbidity index, national early warning score, and sequential organ failure assessment (SOFA) score. Results: 962 patients with confirmed infection were enrolled. The median SOFA score was 1 (0–3) and the mean serum albumin level was 3.7 g/dL (SD 0.6). Moreover, 8.9% (86/962) of patients died within 30 days. Albumin was an independent risk factor for 30-day mortality with an adjusted hazard ratio of 3.767 (95% CI 2.192–6.437), p < 0.001. Decision tree analysis indicated that at low SOFA scores, albumin had a good predictive ability, indicating a progressive mortality risk reduction in concentrations above 2.75 g/dL (5.2%) and 3.52 g/dL (2%). Conclusions: Serum albumin levels at ED admission are predictive of 30-day mortality in infected patients, showing better predictive abilities in patients with low-to-medium SOFA scores.

The exponential growth of tourism worldwide could have consequences for healthcare services in tourist locations. The impact of the tourist population on access to emergency departments (EDs) is currently unknown.To describe the characteristics of tourist access in an ED of an alpine tourist area in a period prior to the COVID-19 pandemic.All patients evaluated at the ED of the Merano Hospital from January 1, 2017, to December 31, 2019, were considered and divided into two study groups: locals and tourists. Analyses were conducted to assess the impact of tourists in terms of weighted ED admissions and differences in admission characteristics. Finally, for tourist patients only, an analysis of severity according to their type of healthcare system of provenance was performed.A total of 208,875 ED presentations were considered, of which 90.7% (189,406) were by local patients and 9.3% (19,469) were by tourists. The median ED admission rate was 1.65 admissions per 1000 overnight stays for locals versus 0.90 admissions per 1000 overnight stays for tourists. The time series analysis revealed a greater seasonal variation in accesses by tourists than by resident patients. A higher proportion of accesses with a severe code was found among tourist patients, while the local population exhibited a higher proportion of patients with a non-urgent code. In the tourist population, patients from a country with a free-market healthcare system had a higher number of ED presentations for severe conditions or that required hospitalisation than tourists from countries with Bismarck or Beveridge healthcare systems.The tourist population can have an important impact on EDs in high-impact tourist areas. The seasonality of the tourist population indicates the need for health policies that focus on educating the tourist population on the correct use of the ED.

To develop a nomogram using the parameters of the Epidemiology-Based Mortality Score in Status Epilepticus (EMSE) and to evaluate its accuracy compared with the EMSE alone in the prediction of 30-day mortality in patients with status epilepticus (SE).We included a cohort of patients with SE aged ≥ 21 years admitted from 2013 to 2021. Regression coefficients from the multivariable logistic regression model were used to generate a nomogram predicting the risk of 30-day mortality. Discrimination of the nomogram was evaluated using the area under the receiver operating characteristic curve (AUCROC) with 95% confidence interval. Internal validation was performed by bootstrap resampling.Among 698 patients with SE, the 30-day mortality rate was 28.9% (202 of 698). On the multivariable analysis, all EMSE parameters (except for the comorbidity group including metastatic solid tumor or AIDS) were associated with a significantly higher risk of 30-day mortality and were included in the nomogram. The discriminatory capability of the nomogram with bootstrap resampling (5000 resamples) had an AUCROC of 0.830 (95% confidence interval 0.798-0.862). Conversely, the AUCROC of the EMSE was 0.777 (95% confidence interval 0.742-0.813). Thus, the probability that a patient who died within 30 days from SE had a higher score than a patient who survived was 83%, indicating good discriminatory power of the nomogram. Conversely, the risk predicted using the EMSE alone was 77%. The nomogram was well calibrated.A nomogram based on EMSE parameters appears superior to the EMSE in predicting the risk of 30-day mortality after SE. The discrimination and calibration of the nomogram shows a better predictive accuracy than the EMSE alone.

The COVID-19 pandemic brought important changes in access to the Emergency Department (ED). At present, an analysis of how the COVID-19 pandemic has changed not only the number but also the nature of the urgency of ED access is not available. This study aimed to verify the effect of the COVID-19 pandemic on the urgency of patients admitted to the ED utilizing timebased analyses.A quasi-experimental interrupted time series analysis based on a retrospective review of data from all ED admissions occurring at the Merano Hospital (Italy) from 1 January 2015 to 30 June 2021 was conducted.From January 2015 to June 2021, 416,560 patients were admitted to the ED. Since the pandemic outbreak, the trend of urgent patients (classified as orange and red by triage) remained unchanged compared to the pre-pandemic period (p = 0.095, p = 0.155). In contrast, patients classified as blue (non-urgent) increased exponentially since the outbreak of the pandemic (p 0.001).The present study reported stability in urgent codes (orange and red) since the pandemic outbreak while a dramatic increase in non-urgent codes (blue and green) is reported. The results of the study may indicate the need to find health policy solutions to manage this large increase in nonurgent patients requiring assessment in EDs since the outbreak of the pandemic.

The objective of this study was to validate the value of the Status Epilepticus Severity Score (STESS) in the prediction of the risk of in-hospital mortality in patients with nonhypoxic status epilepticus (SE) using a machine learning analysis.We included consecutive patients with nonhypoxic SE (aged ≥ 16 years) admitted from 2013 to 2021 at the Modena Academic Hospital. A decision tree analysis was performed using in-hospital mortality as a dependent variable and the STESS predictors as input variables. We evaluated the accuracy of STESS in predicting in-hospital mortality using the area under the receiver operating characteristic curve (AUROC) with 95% confidence interval (CI).Among 629 patients with SE, the in-hospital mortality rate was 23.4% (147 of 629). The median STESS in the entire cohort was 2.9 (SD 1.6); it was lower in surviving compared with deceased patients (2.7, SD 1.5 versus 3.9, SD 1.6; p 0.001). Of deceased patients, 82.3% (121 of 147) had scores of 3-6, whereas 17.7% (26 of 147) had scores of 0-2 (p 0.001). STESS was accurate in predicting mortality, with an AUROC of 0.688 (95% CI 0.641-0.734) only slightly reduced after bootstrap resampling. The most significant predictor was the seizure type, followed by age and level of consciousness at SE onset. Nonconvulsive SE in coma and age ≥ 65 years predicted a higher risk of mortality, whereas generalized convulsive SE and age 65 years were associated with a lower risk of death. The decision tree analysis using STESS variables correctly classified 90% of survivors and 34% of nonsurvivors after the SE, with an overall risk of error of 23.1%.This validation study using a machine learning system showed that STESS is a valuable prognostic tool. The score appears particularly accurate and effective in identifying patients who are alive at discharge (high negative predictive value), whereas it has a lower predictive value for in-hospital mortality.

Background The presence of oral anticoagulant therapy (OAT) alone, regardless of patient condition, is an indication for CT imaging in patients with mild traumatic brain injury (MTBI). Currently, no specific clinical decision rules are available for OAT patients. The aim of the study was to identify which clinical risk factors easily identifiable at first ED evaluation may be associated with an increased risk of post-traumatic intracranial haemorrhage (ICH) in OAT patients who suffered an MTBI. Methods Three thousand fifty-four patients in OAT with MTBI from four Italian centers were retrospectively considered. A decision tree analysis using the classification and regression tree (CART) method was conducted to evaluate both the pre- and post-traumatic clinical risk factors most associated with the presence of post-traumatic ICH after MTBI and their possible role in determining the patient’s risk. The decision tree analysis used all clinical risk factors identified at the first ED evaluation as input predictor variables. Results ICH following MTBI was present in 9.5% of patients (290/3054). The CART model created a decision tree using 5 risk factors, post-traumatic amnesia, post-traumatic transitory loss of consciousness, greater trauma dynamic, GCS less than 15, evidence of trauma above the clavicles, capable of stratifying patients into different increasing levels of ICH risk (from 2.5 to 61.4%). The absence of concussion and neurological alteration at admission appears to significantly reduce the possible presence of ICH. Conclusions The machine-learning-based CART model identified distinct prognostic groups of patients with distinct outcomes according to on clinical risk factors. Decision trees can be useful as guidance in patient selection and risk stratification of patients in OAT with MTBI.

Aim To establish how the Manchester Triage System can correctly prioritize patients admitted to the emergency department for transitory loss of consciousness in relation to their risk of presenting severe acute disease. Design A observational retrospective study. Methods A total of 2291 patients who required a triage evaluation for a transitory loss of consciousness at the emergency department of Merano Hospital between 1 January 2017 and 30 June 2019 were considered. Transitory loss of consciousness was classified according to European Society of Cardiology guidelines. The baseline characteristics of the patients were collected and divided according to the priority level assigned at triage into two different study groups: high priority (red/orange) and low priority (blue/green/yellow). The composite outcome of the study was defined as the diagnosis of a severe acute disease. Results Of the patients enrolled, 17% (390/2291) had a high-priority code and 83% (1901/2291) received a low-priority code. Overall, a severe acute disease was present in 16.9% of patients (387/2291). The Manchester Triage System had a sensitivity of 42.4%, a specificity of 88.1% and an accuracy of 80.4% for predicting severe acute disease. The discriminatory ability had an area under the receiver operating characteristic curve of 0.651 (CI 95%: 0.618-0.685). Conclusions Despite the good specificity, the low sensitivity does not currently allow the Manchester Triage System to completely exclude patients with a severe acute disease who presented in the emergency department for a transitory loss of consciousness. Therefore, it is important to develop precise nursing tools or assessments that can improve triage performance. Impact The assessment of a complex symptom can create difficulties in the stratification of patients in triage, assigning low-priority codes to patients with a severe disease. Additional tools are needed to allow the correct triage assessment of patients presenting with transitory loss of consciousness.

Aims The role of triage for patients admitted to the emergency department (ED) for a syncopal transitory loss of consciousness (TLOC) has not been debated, and no comparisons with the recent European Society of Cardiology (ESC) guidelines are currently available. To verify the ability of triage to correctly prioritize patients with syncopal TLOC. Methods and results All patients who received a triage assessment at the ED of the Merano Hospital (Italy) between 1 January 2017 and 30 June 2019 for a syncope were considered. All syncope were reclassified according to the aetiology reported in the ESC guidelines. The baseline characteristics of the patients were recorded and divided according to the severity code provided during triage into two study groups: high priority (red/orange) and low priority (yellow/green/blue). The outcome of the study was the presence of a diagnosed cardiac cause within 30 days after the admission. A total of 2066 patients were enrolled (14.3% high priority vs. 85.7% low priority). Cardiac syncope was present in 7.5% of patients. Nurse triage showed a sensitivity for cardiac syncope of 44.8%, a specificity of 88.1%, and an accuracy of 84.9%. The observed discriminatory ability presented an area under the receiver operating characteristic curve of 0.685 (95% confidence interval 0.638–0.732). The possible identification of the aetiology of the syncopal TLOC by the nurse showed good agreement with the medical diagnosis (Cohen’s kappa 0.857, P Conclusions In cases of syncopal TLOC, nurse triage had a fair specificity but suboptimal sensitivity for cardiac causes. Specific nursing assessments following triage (e.g. precise scores or electrocardiogram) could improve the triage performance.

Background Although the preliminary evidence seems to confirm a lower incidence of post-traumatic bleeding in patients treated with direct oral anticoagulants (DOACs) compared to those on vitamin K antagonists (VKAs), the recommended management of mild traumatic brain injury (MTBI) in patients on DOACs is the same as those on the older VKAs, risking excessive use of CT in the emergency department (ED). Aim To determine which easily identifiable clinical risk factors at the first medical evaluation in the ED may indicate an increased risk of post-traumatic intracranial haemorrhage (ICH) in patients on DOACs with MTBI. Methods Patients on DOACs who were evaluated in the ED for an MTBI from 2016 to 2020 at four centres in Northern Italy were considered. A decision tree analysis using the chi-square automatic interaction detection (CHAID) method was conducted to assess the risk of post-traumatic ICH after an MTBI. Known pre- and post-traumatic clinical risk factors that are easily identifiable at the first medical evaluation in the ED were used as input predictor variables. Results Among the 1146 patients on DOACs in this study, post-traumatic ICH was present in 6.5% (75/1146). Decision tree analysis using the CHAID method found post-traumatic TLOC, post-traumatic amnesia, major trauma dynamic, previous neurosurgery and evidence of trauma above the clavicles to be the strongest predictors associated with the presence of post-traumatic ICH in patients on DOACs. The absence of a concussion seems to indicate subgroups at very low risk of requiring neurosurgery. Conclusions The machine-based CHAID model identified distinct prognostic groups of patients with distinct outcomes based on clinical factors. Decision trees can be useful as guides for patient selection and risk stratification.

Objective Roughly 5% to 10% of patients admitted to the emergency department suffer from acute abdominal pain. Triage plays a key role in patient stratification, identifying patients who need prompt treatment versus those who can safely wait. In this regard, the aim of this study was to estimate the performance of the Manchester Triage System in classifying patients with acute abdominal pain. Methods A total of 9,851 patients admitted at the Emergency Department of the Merano Hospital with acute abdominal pain were retrospectively enrolled between 1 January 2017 and 30 June 2019. The study was conducted and reported according to the STROBE statement. The sensitivity and specificity of the Manchester Triage System were estimated by verifying the triage classification received by the patients and their survival at seven days or the need for acute surgery within 72 h after emergency department access. Results Among the patients with acute abdominal pain (median age 50 years), 0.4% died within seven days and 8.9% required surgery within 72 hours. The sensitivity was 44.7% (29.9-61.5), specificity was 95.4% (94.9-95.8), and negative predictive value was 99.7% (99.2-100) in relation to death at seven days. Conclusions The Manchester Triage System shows good specificity and negative predictive value. However, its sensitivity was low due to the amount of incorrect triage prediction in patients with high-priority codes (red/orange), suggesting overtriage in relation to seven-day mortality. This may be a protective measure for the patient. In contrast, the need for acute surgery within 72 h was affected by under-triage. Relevance to clinical practice The triage nurse using Manchester Triage System can correctly prioritise the majority of patients with acute abdominal pain, especially in low acuity patients. The Manchester Triage System is safe and does not underestimate the severity of the patients.

Background Computed tomography (CT) of patients with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) disease depicts the extent of lung involvement in COVID-19 pneumonia. Purpose The aim of the study was to determine the value of quantification of the well-aerated lung obtained at baseline chest CT for determining prognosis in patients with COVID-19 pneumonia. Materials and Methods Patients who underwent chest CT suspected for COVID-19 pneumonia at the emergency department admission between February 17 to March 10, 2020 were retrospectively analyzed. Patients with negative reverse-transcription polymerase chain reaction (RT-PCR) for SARS-CoV-2 in nasal-pharyngeal swabs, negative chest CT, and incomplete clinical data were excluded. CT was analyzed for quantification of well aerated lung visually (%V-WAL) and by open-source software (%S-WAL and absolute volume, VOL-WAL). Clinical parameters included demographics, comorbidities, symptoms and symptom duration, oxygen saturation and laboratory values. Logistic regression was used to evaluate relationship between clinical parameters and CT metrics versus patient outcome (ICU admission/death vs. no ICU admission/ death). The area under the receiver operating characteristic curve (AUC) was calculated to determine model performance. Results The study included 236 patients (females 59/123, 25%; median age, 68 years). A %V-WAL

Recent studies have suggested different organisational strategies, modifying Emergency Departments (EDs) during the COVID-19 epidemic. However, real data on the practical application of these strategies are not yet available. The objective of this study is to evaluate the inclusion of pre-triage during the COVID-19 outbreak. In March 2020, the structure of the ED at Merano General Hospital (Italy) was modified, with the introduction of a pre-triage protocol to divide patients according to the risk of infection. The performance of pre-triage was evaluated for sensitivity, specificity and negative predictive value (NPV). From 4th to 31st March, 2,279 patients were successively evaluated at the pre-triage stage. Of these, 257 were discharged directly from pre-triage by triage out or home quarantine and none has subsequently been hospitalised. Of the 2022 patients admitted to ED, 182 were allocated to an infected area and 1840 to a clean area. The proportion of patients who tested COVID-19 positive was 5% and, of these, 91.1% were allocated to the infected area. The pre-triage protocol demonstrated sensitivity of 91.1%, specificity of 95.3% and NPV of 99.5%. In addition, none of the healthcare workers was infected during the study period. Pre-triage can be a useful tool that, if standardised and associated with a change in the structure of the ED, can limit the spread of infection within the ED, optimise ED resources and protect healthcare workers.

Objective Up to 15% of patients arrive in the emergency department suffering from fever. Triage is their first contact and is responsible for the stratification of patients according to the severity of the condition for which they are presenting at the emergency department. The aim of this study is to assess the predictive validity of the Manchester Triage System in patients with fever for sepsis or septic shock and seven-day mortality. Methods The sensitivity, specificity and negative predictive value of the Manchester Triage System was assessed by priority code allocation towards seven-day mortality and the diagnosis of sepsis or septic shock. Results A total of 3831 patients were evaluated in the emergency department for fever between 1 January 2017 and 30 June 2019. Of these, 1.9% were diagnosed with sepsis or septic shock. Using the Manchester Triage System to predict diagnosis of sepsis or septic shock provided a sensitivity of 88.7%, a specificity of 50.1% and a negative predictive value of 99.5%. For seven-day mortality, sensitivity was 44.4%, specificity was 92.3% and the negative predictive value was 99.3%. Conclusion The Manchester Triage System has demonstrated high sensitivity and negative predictive value in patients with fever diagnosed with sepsis or septic shock. For patients with sepsis or septic shock one-third of cases with an incorrectly assigned priority code were caused by incorrect application of the Manchester Triage System.

Background Nurses play a crucial role in correctly prioritizing patients entering emergency departments. However, little is known of the accuracy of nurse-led triage systems. Objectives (1) To determine the frequency of nurse-led triage errors within the Manchester Triage System; (2) to explore patient, work environment and individual nurse factors associated with triage errors; and (3) to explore associations between triage errors and patient outcomes (i.e., length of emergency department stay, hospitalization, and 7- and 30-day mortality). Setting This study was conducted in one emergency department in Northern Italy. Participants A random sample of 5% (n = 1,929) of all eligible patients accessing the emergency department over an 18-month period. Methods For this retrospective observational study, electronic health record data on triage errors (i.e., incorrect presentational flowchart, specific discriminator and/or priority level) and triage nurses were combined with routine data on patient characteristics, outcomes and the work environment. To explore relationships between these variables, we performed univariate and multivariate logistic regression analyses. Results We observed triage errors in 16.3% of patients (n = 314). These were significantly associated with patients’ emergency department and hospital stays. Analyses revealed that when > one patient was triaged every 15 min (OR: 2.112;95%CI: 1.331–3.354), older patients (OR: 1.009; 95%CI: 1.003–1.015) with > than two chronic conditions (OR: 1.506; 95%CI: 1.091–2.081) and orange or red priority codes (OR: 1.314; 95%CI: 1.046–1.651,) whose triage nurse had previous experience with another triage system (OR: 3.189; 95%CI: 2.455–4.14) had higher odds of triage errors. Conclusion We provided primary evidence on triage errors. Confirming our findings on the prevalence, nature and consequences of such errors will require further prospective multicenter studies. Considering patient factors (e.g., age, polychronicity) as additional discriminators could make the nurse-led triage process using the Manchester Triage System more accurate. Investigating the roles of triage nurses’ training and background and the emergency department work environment on their mental models regarding the triage process will require qualitative research.

Capillary permeability can be increased in patients with sepsis. Indirect estimation of plasma volume status (ePVS) could identify more severely ill patients with fever.1502 patients evaluated for fever at the Emergency Department (ED) of Merano General Hospital (Italy) between June 1, 2018 and May 30, 2019. The ePVS value registered on ED admission and derived from complete blood count was considered. Associations between the ePVS value and the two outcomes of the study (30-day mortality and sepsis diagnosis) were studied.Fifty-one of 1502 patients (3.4%) died at 30 days and 5.3% (80/1502) had a diagnosis of sepsis. The median ePVS in patients who died was higher than in those who survived (6.01 dL/g vs 4.49 dL/g, p .001). In the multivariate analysis, ePVS higher than 4.52 dL/g presented an OR of 2.717 (CI95% 1.103-6.692, p = .020) for 30-day mortality and 1.824 (CI95% 1.055-3.154, p = .030) for the diagnosis of sepsis. ePVS presented a significant improvement in reclassification of the usual evaluation of patients with fever (NRI 21.6% for 30-day mortality and NRI 19.7 for sepsis diagnosis, p .001).The ePVS value was a useful additional predictive tool to assess the severity of illness in patients with fever.

Purpose: Although the use of soft cervical collars in the emergency department (ED), for whiplash-associated disorders (WAD), is controversial, it is still widely adopted. The purpose of our study was to investigate the impact of the early use of soft cervical collars on the return to the ED, within three months of a road traffic collision. Methods: We conducted a retrospective observational study on WAD patients from two EDs in Verona (Italy). Patients in the earlier acute phase of WAD (within 48 h from the trauma) were included, those with serious conditions (WAD IV) were excluded. As an end point, we considered patients who returned to the ED complaining of WAD symptoms within three months as positive outcome for WAD persistence. Results: 2162 patients were included, of those, 85.4% (n = 1847/2162) received a soft cervical collar prescription. Further, 8.4% (n = 156/1847) of those with a soft cervical collar prescription, and 2.5% (n = 8/315) of those without a soft cervical collar (p &lt, 0.001) returned to the ED within three months. The use of the soft cervical collar was an independent risk factor for ED return within three months, with an OR, adjusted for possible clinical confounders, equal to 3.418 (95% CI 1.653–7.069, p &lt, 0.001). After the propensity score matching, 25.5% of the patients (n = 25/98) using the soft cervical collar returned to the ED at three months, compared to the 6.1% (n = 6/98) that did not adopt the soft cervical collar. The use of a soft cervical collar was associated with ED return with an OR = 4.314 (95% CI 2.066–11.668, p = 0.001). Conclusions: Our study shows that the positioning of the soft collar in a cohort of patients with acute WAD, following a rear-end car collision, is an independent potential risk factor to the return to the ED. Clinically, the use of the collar is a non-recommended practice and seems to be related to an increased risk of delayed recovery. There is a need to inform healthcare providers involved in the ED of the aim to limit the use of the soft cervical collar. A closer collaboration between clinicians (e.g., physicians, physical therapists, nurses) is suggested in the ED. Future primary studies should determine differences between having used or not having used the collar, and compare early physical therapy in the ED compared with the utilization of the collar.

The established clinical risk factors for post-traumatic intracranial bleeding have not been evaluated in patients receiving DOACs yet.Evaluating the association between clinic and patient characteristics and post-traumatic intracranial bleeding (ICH) in patients with mild traumatic brain injury (MTBI) and DOACs.This is a retrospective observational study conducted on three Emergency Departments. Multivariate analysis provided association in terms of OR with the risk of ICH. The performance of the multivariate model, described in a nomogram, has been tested with discrimination and decision curve analysis.Of 473 DOACs patients with MTBI, 8.5% had post-traumatic ICH. On multivariable analysis, major dynamics (odds ratio [OR] 6.255), post-traumatic amnesia (OR 3.961), post-traumatic loss of consciousness (LOC, OR 7.353), Glasgow Coma Scale (GCS) score 15 (OR 3.315), post-traumatic headache (OR 4.168) and visible trauma above the clavicles (OR 3.378) were associated with a higher likelihood of ICH. The multivariate model, used for the nomogram construction, showed a good performance (AUC bias corrected with 5000 bootstraps resample 0.78). The DCAs showed a net clinical benefit of the prognostic model.Clinical risk factors can be used in DOACs patients to better define the risk of post-traumatic ICH.

The risk of intracranial hemorrhage (ICH) in patients taking direct oral anticoagulants (DOACs) after mild traumatic brain injury (MTBI) is unclear.To assess the differences in the risk of developing early, delayed, and comprehensive bleeding after MTBI among patients treated with DOACs as compared with those treated with vitamin K antagonists (VKAs).All MTBI patients taking oral anticoagulants in our emergency department between June 2017 and August 2018 were included. All patients on oral anticoagulants underwent immediate cerebral computed tomography (CT) and a second CT scan after 24 h of clinical observation.There were 451 patients enrolled: 268 were on VKAs and 183 on DOACs. Of the DOAC-treated patients, 7.7% (14/183) presented overall intracranial bleeding, compared with 14.9% (40/268) of VKA-treated patients (p = 0.026). Early bleeding was present in 5.5% (10/183) of DOAC-treated patients and in 11.6% (31/268) of VKA-treated patients (p = 0.030). Multivariable analysis showed that VKA therapy (odds ratio [OR] 2.327), high-energy impact (OR 11.229), amnesia (OR 2.814), loss of consciousness (OR 5.286), Glasgow Coma Scale score 15 (OR 4.719), and the presence of lesion above the clavicles (OR 2.742) were associated with significantly higher risk of global ICH. A nomogram was constructed to predict ICH using these six variables. Discrimination of the nomogram revealed good predictive abilities (area under the receiver operating characteristic curve: 0.817).DOAC-treated patients seem to have lower risk of posttraumatic intracranial bleeding compared with VKA-treated patients.

More clinical data are required on the safety of direct oral anticoagulants (DOACs). Although patients treated with warfarin and DOACs have a similar risk of bleeding, short-term mortality after a gastrointestinal bleeding (GIB) episode in DOAC-treated patients has not been clarified. The objective of this study was to assess differences in 30-day mortality in patients treated with DOACs or warfarin admitted to the emergency department (ED) for GIB. This was a multicentre retrospective study conducted over 2 years. The study included patients evaluated at three different EDs for GIB. The baseline characteristics were included. Subsequently, we assessed the differences in past medical history and clinical data between the two study groups (DOAC and warfarin users). Differences between the two groups were evaluated using Kaplan–Meier curves. Among the 284 patients presenting GIB enrolled in the study period, 39.4% (112/284) were treated with DOACs and 60.6% (172/284) were treated with warfarin. Overall, 8.1% (23/284) of patients died within 30 days. Among the 172 warfarin-treated patients, 8.7% (15/172) died within 30 days from ED evaluation. In the 112 DOAC-treated patients, the mortality rate was 7.1% (8/112). The Cox regression analysis, adjusted for possible clinical confounders, and the Kaplan–Meier curves did not outline differences between the two treatment groups. The present study shows no differences between DOACs and warfarin in short-term mortality after GIB.

Background Recognising patients with pulmonary embolism continues to be a clinical challenge. In the Emergency Department, up to 50% of patients with pulmonary embolism can be delayed or even misdiagnosed. The ability of a triage system to correctly prioritise suspected embolism in these patients is fundamental for determining diagnostic-therapeutic procedures. Aim To verify the effectiveness of the Manchester Triage System in risk prioritisation of patients with pulmonary embolism who present with dyspnoea, chest pain, or collapse. Methods In this observational, retrospective, study the sensitivity, specificity, and positive and negative predictive values of the Manchester Triage System were calculated using the triage classification for these patients, and their established diagnoses. The analysis included baseline characteristics and triage evaluations. Results During the two-year study period, 7055 patients were enrolled. Pulmonary embolism episodes were 2.1% of all cases, while severe pulmonary embolisms were 0.8%. The estimated specificity of the Manchester Triage System was 72.5% (CI 95%, 71.5–73.6), and the negative predictive value was 98.1% (CI 95%, 97.7–98.5). The results suggest that clinical characteristics leading to a high Manchester Triage System priority are similar to those characterising a pulmonary embolism episode. Conclusions Although pulmonary embolism is difficult to diagnose, the Manchester Triage System is an effective tool for prioritising patients with symptoms of this disease.

Background Between 1% and 7.5% of patients admitted to the emergency department (ED) suffer from dyspnoea. The Manchester Triage System is one of Europe’s most used triage systems considering five levels to prioritize patients in the ED: level 1 (red), immediate; level 2 (orange), very urgent; level 3 (yellow), urgent; level 4 (green), standard; level 5 (blue), non-urgent. With this study we aimed to evaluate the performance of the Manchester Triage System in patients with dyspnoea. Methods With this retrospective, observational study we analysed data from 4′076 patients with dyspnoea accessing the ED in one Italian hospital between January 1, 2017 and June 30, 2019. To determine the sensitivity and specificity we computed the area under the curve (AUC) of the receiver operating characteristics (ROC) comparing the sensitivity and specificity for each of the five priority codes and seven-day mortality. Results A total of 3.6% (n = 145) of the patients died within seven days after access to the ED. From the patients dying within seven days, 6.2% (9/145) had a blue or green priority code, 17.9% (26/145) had a yellow priority code and 75.9% had an orange or red priority code. A high priority code (orange or red) had a sensitivity of 75.9%, a specificity of 66.1%, a PPV of 7.6% and a NPV of 98.7%. The AUC was 0.734 (CI 95% 0.695–0.773, p Conclusions The Manchester Triage System showed acceptable sensitivity and negative predictive value in patients with dyspnoea, yet a low specificity related to the risk of death. The system is safe, resulting in a low under-triage rate for death. Improving the clinical assessment during nurses’ triage (e.g. considering clinical history and auscultation of lungs) and prospective validation studies with surrogate endpoints is needed in this population.