Emergency physicians frequently assess risk of acute cardiac events (ACEs) in patients with undifferentiated chest pain. Such estimates have been shown to have moderate to high sensitivity for ACE but are conservative. Little is known about the factors implicitly used by physicians to determine the pretest probability of risk. This study sought to identify the accuracy of physician risk estimates for ACE in patients presenting to the ED with chest pain and to identify the demographic and clinical information emergency physicians use in their determination of patient risk.
This study used data from two prospective studies of consenting adult patients presenting to the ED with symptoms of possible acute coronary syndrome. ED physicians estimated the pretest probability of ACE. Multiple linear regression analysis was used to identify predictors of physician risk estimates. Logistic regression was used to determine whether there was a correlation between physicians’ estimated risk and ACE.
Increasing age, male sex, abnormal ECG features, heavy/crushing chest pain and risk factors were correlated with physician risk estimates. Physician risk estimates were consistently found to be higher than the expected proportion of ACE from the sampled population.
Physicians systematically overestimate ACE risk. A range of factors are associated with physician risk estimates. These include factors strongly predictive of ACE, such as age and ECG characteristics. They also include other factors that have been shown to be unreliable predictors of ACE in an ED setting, such as typicality of pain and risk factors.
To directly compare the diagnostic accuracy of four decision aids (Troponin-only Manchester Acute Coronary Syndromes (T-MACS), History, ECG, Age, Risk factors and Troponin (HEART), Thrombolysis in Myocardial Infarction (TIMI) and Emergency Department Assessment of Chest Pain (EDACS)) used to expedite the early diagnosis of acute coronary syndromes (ACS) in the ED.
We prospectively included patients who presented to 14 EDs in England (February 2015 to June 2017) with suspected ACS within 12 hours of symptom onset. Data to enable evaluation of the T-MACS, HEART, TIMI and EDACS decision aids (without recalibration) were prospectively collected, blinded to patient outcome. We tested admission blood samples for high-sensitivity cardiac troponin I (hs-cTnI; Siemens ADVIA Centaur). Patients also underwent serial cardiac troponin testing over 3–12 hours. The target condition was an adjudicated diagnosis of acute myocardial infarction (AMI). We also evaluated the incidence of major adverse cardiac events (including death, AMI or coronary revascularisation) at 30 days. Diagnostic accuracy of each decision aid and hs-cTnI alone (using the limit of quantification cut-off, 3 ng/L) was evaluated by calculating sensitivity, specificity, positive predictive value (PPV) and negative predictive value (NPV).
Of 999 included patients, 132 (13.2%) had AMI. C-statistics were 0.96 for T-MACS, 0.78 for HEART and 0.69 for TIMI. The sensitivities of T-MACS, HEART, TIMI, EDACS and hs-cTnI <3 ng/L for AMI were 99.2% (95% CI 95.7% to 100.0%), 91.8% (85.0% to 96.2%), 97.5% (92.9% to 99.5%), 96.2% (92.2% to 99.4%) and 99.2% (95.9% to 100.0%), respectively. The respective strategies would have ruled out 46.5%, 34.9%, 19.4%, 48.3% and 28.8% patients. PPVs for the decision aids that identify ‘high-risk’ patients were 80.4% (T-MACS), 51.9% (TIMI) and 37.2% (HEART).
In this study, T-MACS could rule out AMI in 46.5% patients with 99.2% sensitivity. EDACS could rule out AMI in 48.3% patients with lower sensitivity, although the difference was not statistically significant. The HEART and TIMI scores had lower diagnostic accuracy.
The aim of this study was to compare the incidence of airway haemorrhage between participants who received manual cardiopulmonary resuscitation (CPR) and those who had received mechanical CPR using the LUCAS device.
A retrospective cohort study was conducted by means of a medical chart review. All non-traumatic cardiac arrest patients that presented to the ED, from May 2014 to February 2018, were recruited. The groups were stratified according to those who had the majority of CPR performed using the LUCAS and those who had the majority of CPR performed manually. The primary outcome was the proportion of participants with airway haemorrhage, defined as blood observed in the endotracheal tube, pharynx, trachea or mouth, and documented in the doctor or nursing notes. Logistic regression analysis was performed to adjust for confounders.
12 of 54 (22%) participants in the majority LUCAS CPR group had airway haemorrhage, compared with 20 of 215 (9%) participants in the majority manual CPR group, a difference of 13% (95% CI 3% to 26%, p=0.02). The unadjusted odds for developing airway haemorrhage in the majority LUCAS CPR group was 2.8 (95% CI 1.3 to 6.1). After adjusting for confounders, the odds for developing airway haemorrhage in the majority LUCAS CPR group was 2.5 (95% CI 1.1 to 5.7).
The LUCAS mechanical CPR device is associated with a higher incidence of airway haemorrhage compared with manual CPR. Limitations in the study design mean this conclusion is not robust.
Focused assessment with sonography in trauma (FAST) examination is a widely known initial evaluation for patients with trauma. However, it remains unclear whether FAST contributes to patient survival in patients with haemodynamically stable trauma. In this study, we compared in-hospital mortality and length of stay between patients undergoing initial FAST vs initial CT for haemodynamically stable torso trauma.
This was a retrospective cohort study using data from 264 major emergency hospitals in the Japan Trauma Data Bank between 2004 and 2016. Patients were included if they had torso trauma with a chest or abdomen abbreviated injury scale score of ≥3 and systolic blood pressure of ≥100 mm Hg at hospital arrival. Eligible patients were divided into those who underwent initial FAST and those who underwent initial CT. Multivariable logistic regression analysis for in-hospital mortality and multivariable linear regression for length of stay were performed to compare the initial FAST and initial CT groups with adjustment for patient backgrounds while also adjusting for within-hospital clustering using a generalised estimating equation.
There were 9942 patients; 8558 underwent initial FAST and 1384 underwent initial CT. Multivariable logistic regression showed no significant difference in in-hospital mortality between the initial FAST and initial CT groups (OR 1.37, 95% CI 0.94 to 1.99, p=0.10). Multivariable linear regression revealed that the initial FAST group had a significantly longer length of stay than the initial CT group (difference: 3.5 days; 95% CI 1.0 to 5.9, p<0.01).
In-hospital mortality was not significantly different between the initial FAST and initial CT groups for patients with haemodynamically stable torso trauma. Initial CT should be considered in patients with haemodynamically stable torso trauma.
Trauma contributes significantly to adolescent morbidity and mortality. We aimed to ascertain the epidemiology of adolescent trauma to inform prevention strategies.
Data were abstracted from TARN (Trauma Audit Research Network) from English sites over a 10-year period (2008–2017). Adolescents were defined as 10–24 completed years. Descriptive statistical analysis was used in this study.
There were 40 680 recorded cases of adolescent trauma. The majority were male (77.3%) and aged 16–24 years old (80.5%). There was a 2.6-fold increase during the study time frame (p<0.0001) in the total annual number of cases reported to TARN. To account for increasing hospital participation, the unit trauma cases per hospital per year was used, noting an increasing trend (p=0.048). Road traffic collision (RTC) was the leading cause of adolescent trauma (50.3%). Pedestrians (41.2%) and cyclists (32.6%) were more prevalent in the 10–15 year group, while drivers (22.9%) and passengers (17.8%) predominated in the 16–24 year group. Intentional injury was reported in 20.7% (alleged assault in 17.2% and suspected self-harm in 3.5%). This was more prevalent in the 16–24 year group. The proportion of trauma reported due to violence has increased with stabbings increasing from 6.9% in 2008 to 10.2% in 2017 (p<0.0001). Evidence of alcohol or drug use was recorded in 20.1% of cases. There was an increase in the number treated in major trauma centres (45.7% 2008 vs 63.5% 2017, p<0.0001). Trauma was more likely to occur between 08:00 and 00:00, at weekends and between April and October. Overall mortality rate was 4.1%. Those with a known psychiatric diagnosis had a higher mortality (6.3% vs 4.4%, p<0.001).
RTCs and intentional injuries are leading aetiologies. Healthcare professionals and policy-makers need to prioritise national preventative public health measures and early interventions to reduce the incidence of trauma in this vulnerable age group.
Dextrose is commonly administered with insulin during the management of hyperkalaemia to avoid hypoglycaemia. Previous research has evaluated the incidence of hypoglycaemia; however, none have reported the extent of blood glucose reduction after this regimen. The aim of this study was to better characterise the changes in blood glucose and to identify patients who may have an increased response to insulin.
This was a multicentre retrospective study evaluating adult patients who received a regimen of 10 units of intravenous regular insulin plus 25 g of intravenous dextrose to manage hyperkalaemia between January 2014 and September 2016. The primary outcome was to evaluate the extent of blood glucose reduction (milligram per decilitre) up to 6 hours following the above regimen. Secondary outcomes included incidence of hypoglycaemia (blood glucose <70 mg/dL) and severe hypoglycaemia (blood glucose <40 mg/dL), and predictors of the extent of blood glucose reduction.
A total of 90 patients were included. The median blood glucose change over 6 hours was –24 mg/dL (IQR –53 to 6 mg/dL). Hypoglycaemia developed in 20 patients (22.2%, 95% CI 14.1% to 32.2%) and five patients (5.6%, 95% CI 1.8% to 12.5%) had severe hypoglycaemia. Patients who developed hypoglycaemia had a median baseline blood glucose of 110 mg/dL (IQR 80 to 127 mg/dL), which decreased to a median value of 52 mg/dL (IQR 40 to 60 mg/dL). Higher baseline blood glucose was significantly associated with greater blood glucose reduction (coefficient –0.36, 95% CI –0.55 to –0.18, p<0.001).
The extent of blood glucose reduction is variable and hypoglycaemia is common. The high incidence of hypoglycaemia highlights the importance of frequent blood glucose monitoring.