Validation of the Glasgow Admission Prediction Score in a Japanese Emergency Setting

Out-of-hospital delays in patients with acute stroke

Time of Emergency Department Arrival is an Inaccurate Measure of Time of Presentation of Patients With Severe Sepsis and Septic Shock

Although 72-hour emergency department (ED) revisits are increasingly used as a hospital metric, there is no known empirical basis for this 72-hour threshold. The objective of this study was to determine the timing of ED revisits for adult patients within 30 days of ED discharge. This was a retrospective cohort study of all nonfederal ED discharges in Florida and Nebraska from April 1, 2010, to March 31, 2011, using data from the Agency for Healthcare Research and Quality (AHRQ) Healthcare Cost and Utilization Project (HCUP). ED discharges were followed forward to identify ED revisits occurring at any hospital within the same state within 30 days. The cumulative hazard of an ED revisit was plotted. Parametric and nonparametric modeling was performed to characterize the rate of ED revisits. There were 4,782,045 ED discharges, with 7.5% (95% confidence interval [CI] = 7.4% to 7.5%) associated with 3-day revisits, and 22.4% (95% CI = 22.3% to 22.4%) associated with 30-day revisits, inclusive of the 3-day revisits. A double-exponential model fit the data best (p < 0.0001), and a single hinge point at 9 days (multivariate adaptive regression splines [MARS] model) yielded the best linear fit to the data, suggesting 9 days as the most reasonable cutoff for identification of acute ED revisits. Multiple stratified and subgroup analyses produced similar results. Future work should focus on identifying primary reasons for potentially avoidable return ED visits instead of on the revisit occurrence itself, thus more directly measuring potential lapses in delivery of high-quality care. Almost one-quarter of ED discharges are linked to 30-day ED revisits, and the current 72-hour ED metric misses close to 70% of these patients. Our findings support 9 days as a more inclusive cutoff for studies of ED revisits.

Pain medication administration in pediatric trauma patients with long bone fractures before emergency department arrival

To evaluate 1-year outcomes (mortality, and recurrent hospital and ICU readmission) in adult survivors of COVID-19 critical illness compared with survivors of critical illness from non-COVID-19 pneumonia. Population-based retrospective observational cohort study. Province of Ontario, Canada. Six thousand ninety-eight consecutive adult patients (≥ 18 yr old) from 102 centers, admitted to ICU with COVID-19 (from January 1, 2020, to March 31, 2022), and surviving to hospital discharge. None. The primary outcome was 1-year mortality. We also evaluated the number of emergency department (ED) visits, hospital readmissions, and ICU readmissions over this same time period. We compared patients using overlap propensity score-weighted, cause-specific proportional hazard models. Mean age was 59.6 years and 38.5% were female. Of these patients, 1610 (26.4%) and 375 (6.1%) were readmitted to hospital and ICU, respectively, and 917 (15.0%) died within 1 year. Compared with survivors of critical illness from non-COVID-19 pneumonia ( n = 2568), those who survived COVID-19 critical illness had a lower risk of ED visit (hazard ratio [HR], 0.65 [95% CI, 0.60-0.71]), hospital readmission (HR, 0.56 [95% CI, 0.51-0.62]), ICU readmission (HR, 0.44 [95% CI, 0.37-0.53]), and mortality (HR, 0.67 [95% CI, 0.58-0.78]) within 1 year. Risk of ED visit, hospital readmission, ICU readmission, and mortality within 1 year of discharge among survivors of COVID-19 critical illness was lower than survivors of critical illness from non-COVID-19 pneumonia.

BackgroundHyperlactatemia is known to be associated with adverse outcome in critical illness. In this study, we attempted to identify if hyperlactatemia on emergency department (ED) arrival is a reliable predictor for in-hospital mortality in necrotizing fasciitis (NF) patients.MethodA prospective cohort study of hospitalized patients with NF was conducted in two tertiary teaching hospitals in Taiwan between March 2010 and March 2018. Blood samples were collected in the ED upon arrival, and the lactate levels were determined. Sequential organ failure assessment (SOFA) scores were calculated during the first 24 h after admission. All collected data were statistically analyzed.ResultOf the 707 NF patients, 40 (5.66%) died in the hospital. The median (interquartile range) blood lactate level in all NF patients was 3.6 mmol/l (2.2–4.8). The blood lactate level upon ED arrival was significantly associated with mortality (odds ratio [OR] = 1.35; 95% confidence interval [CI], 1.30–1.46; P < 0.001), even after adjustment for age and SOFA score (OR = 1.27; P < 0.001). Multivariate regression analysis showed that a high blood lactate level (OR = 1.17; 95% CI, 1.07–1.29; P = 0.001) and a high SOFA score (OR = 1.15; 95% CI, 1.11–1.20; P < 0.001) were independent risk factors for in-hospital mortality in NF. Blood lactate achieved an area under-the-receiver-operating-characteristic curve (AUC) of 0.79 (P < 0.001) for predicting mortality that was similar to that of SOFA score (AUC = 0.82; P < 0.001). Blood lactate displayed a sensitivity of 62% and a specificity of 86% in predicting mortality at the optimal cutoff value of 5.80 mmol/l.ConclusionIn necrotizing fasciitis patients, hyperlactatemia on ED arrival is independently associated with in-hospital mortality. NF patients with hyperlactatemia on ED arrival should be closely monitored for signs of deterioration and consider early and aggressive intervention to prevent mortality.

The objective was to determine whether several measures of emergency department (ED) crowding are associated with an important indicator of quality and safety: time to reevaluation of children with documented critically abnormal triage vital signs. This was a retrospective cross-sectional study of all patients with critically abnormal vital signs measured in triage over a 2.5-year period (September 1, 2006, to May 1, 2009). Cox proportional hazard analysis was used to determine rate ratios for time to critically abnormal vital sign reassessment, when controlled for potential confounders. In this 2.5-year sample, 9,976 patients with critically abnormal vital signs in triage (representing 3.9% of 253,408 visits) were placed in regular ED rooms with electronic alerts prompting vital sign reassessment after 1 hour. Overall, the mean time to reassessment was 84 minutes. The rate of vital sign reassessment was reduced by 31% for each additional 10 patients waiting for admission (adjusted odds ratio [OR] = 0.98; 95% confidence interval [CI] = 0.98 to 0.99), by 10% for every 10 patients in the lobby (adjusted OR = 0.94; 95% CI = 0.93 to 0.96), and by 6% for every additional 10 patients in the overall ED census (adjusted OR = 0.97; 95% CI = 0.97 to 0.98). Emergency department crowding was associated with delay in the reassessment of critically abnormal vital signs in children; further work is needed to develop systems to mitigate these delays.

Acute melioid community-acquired pneumonia

Prehospital shock index predicts 24-h mortality in trauma patients with a normal shock index upon emergency department arrival

Introduction: Emergency department (ED) crowding is a major problem across Canada. We studied the ability of artificial intelligence methods to improve patient flow through the ED by predicting patient disposition using information available at triage and shortly after patients’ arrival in the ED. Methods: This retrospective study included all visits to an urban, academic, adult ED between May 2012 and June 2019. For each visit, 489 variables were extracted including triage data that had been collected for use in the Canadian Triage Assessment Scale (CTAS) and information regarding laboratory tests, radiological tests, consultations and admissions. A training set consisting of all visits from April 2012 up to December 2018 was used to train 5 classes of machine learning models to predict admission to the hospital from the ED. The models were trained to predict admission at the time of the patient's arrival in the ED and every 30 minutes after arrival until 6 hours into their ED stay. The performance of models was compared using the area under the ROC curve (AUC) on a test set consisting of all visits from January 2019 to June 2019. Results: The study included 536,332 visits and the admission rate was 15.0%. Gradient boosting models generally outperformed other machine learning models. A gradient boosting model using all available data at 2 hours after patient arrival in the ED yielded a test set AUC 0.92 [95% CI 0.91-0.93], while a model using only data available at triage yielded an AUC 0.90 [95% CI 0.89-0.91]. The quality of predictions generally improved as predictions were made later in the patient's ED stay leading to an AUC 0.95 [95% CI 0.93-0.96] at 6 hours after arrival. A gradient boosting model with 20 variables available at 2 hours after patient arrival in the ED yielded an AUC 0.91 [95% CI 0.89-0.93]. A gradient boosting model that makes predictions at 2 hours after arrival in ED using only variables that are available at all EDs in the province of Quebec yielded an AUC 0.91 [95% 0.89-0.92]. Conclusion: Machine learning can predict admission to a hospital from the ED using variables that area collected as part of routine ED care. Machine learning tools may potentially be used to help ED physicians to make faster and more appropriate disposition decisions, to decrease unnecessary testing and alleviate ED crowding.

Admission hyperglycemia has been reported as a mortality risk factor for septic nondiabetic patients; however, hyperglycemia's known association with hyperlactatemia was not addressed in these analyses. The objective was to determine whether the association of hyperglycemia with mortality remains significant when adjusted for concurrent hyperlactatemia. This was a post hoc, nested analysis of a retrospective cohort study performed at a single center. Providers had identified study subjects during their emergency department (ED) encounters; all data were collected from the electronic medical record (EMR). Nondiabetic adult ED patients hospitalized for suspected infection, two or more systemic inflammatory response syndrome (SIRS) criteria, and simultaneous lactate and glucose testing in the ED were enrolled. The setting was the ED of an urban teaching hospital from 2007 to 2009. To evaluate the association of hyperglycemia (glucose > 200 mg/dL) with hyperlactatemia (lactate ≥ 4.0 mmol/L), a logistic regression model was created. The outcome was a diagnosis of hyperlactatemia, and the primary variable of interest was hyperglycemia. A second model was created to determine if coexisting hyperlactatemia affects hyperglycemia's association with mortality; the main outcome was 28-day mortality, and the primary risk variable was hyperglycemia with an interaction term for simultaneous hyperlactatemia. Both models were adjusted for demographics; comorbidities; presenting infectious source; and objective evidence of renal, respiratory, hematologic, or cardiovascular dysfunction. A total of 1,236 ED patients were included, and the median age was 77 years (interquartile range [IQR] = 60 to 87 years). A total of 115 (9.3%) subjects were hyperglycemic, 162 (13%) were hyperlactatemic, and 214 (17%) died within 28 days of their initial ED visits. After adjustment, hyperglycemia was significantly associated with simultaneous hyperlactatemia (odds ratio [OR] = 4.14, 95% confidence interval [CI] = 2.65 to 6.45). Hyperglycemia and concurrent hyperlactatemia were associated with increased mortality risk (OR = 3.96, 95% CI = 2.01 to 7.79), but hyperglycemia in the absence of simultaneous hyperlactatemia was not (OR = 0.78, 95% CI = 0.39 to 1.57). In this cohort of septic adult nondiabetic patients, mortality risk did not increase with hyperglycemia unless associated with simultaneous hyperlactatemia. The previously reported association of hyperglycemia with mortality in nondiabetic sepsis may be due to the association of hyperglycemia with hyperlactatemia.

Polypharmacy is a growing phenomenon among elderly individuals. However, there is little information about the frequency of polypharmacy among the elderly population treated in emergency departments (EDs) and its prognostic effect. This study aims to determine the prevalence and short-term prognostic effect of polypharmacy in elderly patients treated in EDs. A retrospective analysis of the Emergency Department Elderly in Needs (EDEN) project's cohort was performed. This registry included all elderly patients who attended 52 Spanish EDs for any condition. Mild and severe polypharmacy was defined as the use of 5-9 drugs and ⩾10 drugs, respectively. The assessed outcomes were ED revisits, hospital readmissions, and mortality 30 days after discharge. Crude and adjusted logistic regression analyses, including the patient's comorbidities, were performed. A total of 25,557 patients were evaluated [mean age: 78 (IQR: 71-84) years]; 10,534 (41.2%) and 5678 (22.2%) patients presented with mild and severe polypharmacy, respectively. In the adjusted analysis, mild polypharmacy and severe polypharmacy were associated with an increase in ED revisits [odds ratio (OR) 1.13 (95% confidence interval (CI): 1.04-1.23) and 1.38 (95% CI: 1.24-1.51)] and hospital readmissions [OR 1.18 (95% CI: 1.04-1.35) and 1.36 (95% CI: 1.16-1.60)], respectively, compared to non-polypharmacy. Mild and severe polypharmacy were not associated with increased 30-day mortality [OR 1.05 (95% CI: 0.89-2.26) and OR 0.89 (95% CI: 0.72-1.12)], respectively. Polypharmacy was common among the elderly treated in EDs and associated with increased risks of ED revisits and hospital readmissions ⩽30 days but not with an increased risk of 30-day mortality. Patients with polypharmacy had a higher risk of ED revisits and hospital readmissions ⩽30 days after discharge.

Predictive outcomes for older people who present to the emergency department

The Outcomes of Emergency Pharmacist Participation during Acute Myocardial Infarction

Introduction: Electrolyte disturbances are associated with sudden cardiac arrest based on several cohort studies. However little is known about the association between serum magnesium(S-Mg) level at ED arrival and survival of out-of-hospital cardiac arrest (OHCA) patients. Hypothesis: We hypothesized S-Mg level at ED arrival is associated with favorable neurologic outcome of OHCA patients. Methods: This is an observational study using Korean Cardiac Arrest Research Consortium (KoCARC) data from October 2015 to June 2020. EMS treated OHCA patients over 18 years old who survived to ICU admission were included. Those without S-Mg level were excluded. Exposure is S-Mg level at emergency department (ED) arrival and outcome was favorable neurologic outcome (cerebral performance category 1 or 2) at hospital discharge. S-Mg was categorized into three groups; Low group; 0-1.7mg/dl, Normal group;1.7-2.3mg/dl, High group; over 2.3mg/dl). Multivariable logistic regression was performed to calculate adjusted odds ratios (AORs) with 95% confidence intervals (95% CIs) for outcome. Results: From total 10,897 OHCA patients, 2,789 patients survived to ICU admission and 1,370 patients had initial S-Mg result. Favorable neurologic outcome was 27.4% in low group, 55.7% in normal group and 23.0% in high group. After adjusting potential confounders in multivariable logistic analysis, compared to the normal group, AOR was 0.28 (95% CI 0.11-0.75) at low group and 0.43 (95% CI 0.23-0.82) at high group. Conclusion: Low (S-Mg less than 1.7 mg/dl) or high (S-Mg over 2.3mg/dl) S-Mg level measured initially at ED arrival for OHCA patients was associated with worse neurologic outcome compared to normal S-Mg level (S-Mg 1.7-2.3mg/dl). Based on this study, further study is needed to investigate the optimized S-Mg level for OHCA patient under resuscitation.