Computerized interpretation of the prehospital electrocardiogram (ECG) is increasingly being used in the basic life support (BLS) ambulance setting to reduce delays to treatment for patients suspected of ST segment elevation myocardial infarction (STEMI).

To estimate 1) predictive values of computerized prehospital 12-lead ECG interpretation for STEMI and 2) additional on-scene time for 12-lead ECG acquisition.

Over a 2-year period, 1,247 ECGs acquired by primary care paramedics for suspected STEMI were collected. ECGs were interpreted in real time by the GEMarquette 12SL ECG analysis program. Predictive values were estimated with a bayesian latent class model incorporating the computerized ECG interpretations, consensus ECG interpretations by study cardiologists, and hospital diagnosis. On-scene time was compared for ambulance-transported patients with (n 5 985) and without (n 5 5,056) prehospital ECGs who received prehospital aspirin and/or nitroglycerin.

The computer's positive and negative predictive values for STEMI were 74.0% (95% credible interval [CrI] 69.6–75.6) and 98.1% (95% CrI 97.8–98.4), respectively. The sensitivity and specificity were 69.2% (95% CrI 59.0–78.5) and 98.9% (95% CrI 98.1–99.4), respectively. Prehospital ECGs were associated with a mean increase in on-scene time of 5.9 minutes (95% confidence interval 5.5–6.3).

The predictive values of the computerized prehospital ECG interpretation appear to be adequate for diversion programs that direct patients with a positive result to hospitals with angioplasty facilities. The estimated 26.0% chance that a positive interpretation is false is likely too high for activation of a catheterization laboratory from the field. Acquiring prehospital ECGs does not substantially increase on-scene time in the BLS setting.

Current guidelines emphasize that emergency department (ED) patients at low risk for potential ischemic chest pain cannot be discharged without extensive investigations or hospitalization to minimize the risk of missing acute coronary syndrome (ACS). We sought to derive and validate a prediction rule that permitted 20 to 30% of ED patients without ACS safely to be discharged within 2 hours without further provocative cardiac testing.

This prospective cohort study enrolled 1,669 chest pain patients in two blocks in 2000–2003 (development cohort) and 2006 (validation cohort). The primary outcome was 30-day ACS diagnosis. A recursive partitioning model incorporated reliable and predictive cardiac risk factors, pain characteristics, electrocardiographic findings, and cardiac biomarker results.

In the derivation cohort, 165 of 763 patients (21.6%) had a 30-day ACS diagnosis. The derived prediction rule was 100.0% sensitive and 18.6% specific. In the validation cohort, 119 of 906 patients (13.1%) had ACS, and the prediction rule was 99.2% sensitive (95% CI 95.4–100.0) and 23.4% specific (95% CI 20.6–26.5). Patients have a very low ACS risk if arrival and 2-hour troponin levels are normal, the initial electrocardiogram is nonischemic, there is no history of ACS or nitrate use, age is < 50 years, and defined pain characteristics are met. The validation of the rule was limited by the lack of consistency in data capture, incomplete follow-up, and lack of evaluation of the accuracy, comfort, and clinical sensibility of this clinical decision rule.

The Vancouver Chest Pain Rule may identify a cohort of ED chest pain patients who can be safely discharged within 2 hours without provocative cardiac testing. Further validation across other centres with consistent application and comprehensive and uniform follow-up of all eligible and enrolled patients, in addition to measuring and reporting the accuracy of and comfort level with applying the rule and the clinical sensibility, should be completed prior to adoption and implementation.

Determining the appropriate disposition of emergency department (ED) syncope patients is challenging. Previously developed decision tools have poor diagnostic test characteristics and methodological flaws in their derivation that preclude their use. We sought to develop a scale to risk-stratify adult ED syncope patients at risk for serious adverse events (SAEs) within 30 days.

We conducted a medical record review to include syncope patients age ≥ 16 years and excluded patients with ongoing altered mental status, alcohol or illicit drug use, seizure, head injury leading to loss of consciousness, or severe trauma requiring admission. We collected 105 predictor variables (demographics, event characteristics, comorbidities, medications, vital signs, clinical examination findings, emergency medical services and ED electrocardiogram/ monitor characteristics, investigations, and disposition variables) and information on the occurrence of predefined SAEs. Univariate and multiple logistic regression analyses were performed.

Among 505 enrolled patient visits, 49 (9.7%) suffered an SAE. Predictors of SAE and their resulting point scores were as follows: age ≥ 75 years (1), shortness of breath (2), lowest ED systolic blood pressure < 80 mm Hg (2), Ottawa Electrocardiographic Criteria present (2), and blood urea nitrogen > 15 mmol/L (3). The final score calculated by addition of the individual scores for each variable (range 0–10) was found to accurately stratify patients into low risk (score < 1, 0% SAE risk), moderate risk (score 1, 3.7% SAE risk), or high risk (score > 1, ≥ 10% SAE risk).

We derived a risk scale that accurately predicts SAEs within 30 days in ED syncope patients. If validated, this will be a potentially useful clinical decision tool for emergency physicians, may allow judicious use of health care resources, and may improve patient care and safety.

Emergency physicians are expected to rule out clinically important cervical spine injuries using clinical skills and imaging. Our objective was to determine whether emergency physicians could accurately rule out clinically important cervical spine injuries using computed tomographic (CT) imaging of the cervical spine.

Fifteen emergency physicians were enrolled to interpret a sample of 50 cervical spine CT scans in a nonclinical setting. The sample contained a 30% incidence of cervical spine injury. After a 2-hour review session, the participants interpreted the CT scans and categorized them into either a suspected cervical spine injury or no cervical spine injury. Participants were asked to specify the location and type of injury. The gold standard interpretation was the combined opinion of two staff radiologists.

Emergency physicians correctly identified 182 of the 210 abnormal cases with cervical spine injury. The sensitivity of emergency physicians was 87% (95% confidence interval [CI] 82–91), and the specificity was 76% (95% CI 74–77). The negative likelihood ratio was 0.18 (95% CI 0.12–0.25).

Experienced emergency physicians successfully identified a large proportion of cervical spine injuries on CT; however, they were not sufficiently sensitive to accurately exclude clinically important injuries. Emergency physicians should rely on a radiologist review of cervical spine CT scans prior to discontinuing cervical spine precautions.

The objectives of this study are to determine the prevalence, risk factors, and time to onset of delayed hemothorax and pneumothorax in adults who experienced a minor blunt thoracic trauma.

A prospective cohort of 450 consecutive patients was recruited. Eligible patients had to be over 16 years of age, consulted within 72 hours for a trauma, and available for outpatient follow-up at 2, 7, and 14 days posttrauma. The clinical outcome investigated was the presence of delayed pneumothorax or hemothorax on the follow-up chest x-ray.

Delayed hemothorax occurred in 11.8% (95% CI 8.8–14.8), and delayed pneumothorax occurred in 0.9% (95% CI 0.2–2.3) of participants. During the 14-day follow-up period, 87.0% of these delayed complications developed in the first week. In the multivariate analysis, the only statistically significant risk factor for delayed complications was the location of fractures on the x-ray of the hemithorax. The adjusted odds ratio was 1.52 (95% CI 0.62–3.73) for the lower ribs (tenth to twelfth rib), 3.11 (95% CI 1.60–6.08) for the midline ribs (sixth to ninth rib), and 5.05 (95% CI 1.80–14.19) for the upper ribs (third to fifth rib) versus patients with no fractures.

The presence of at least one rib fracture between the third and ninth rib on the x-ray of the hemithorax is a significant risk factor for delayed hemothorax and pneumothorax.

There is a question of whether a single assessment tool can assess the key competencies of residents as mandated by the Royal College of Physicians and Surgeons of Canada CanMEDS roles framework.

The objective of the present study was to investigate the reliability and validity of an emergency medicine (EM) in-training evaluation report (ITER).

ITER data from 2009 to 2011 were combined for residents across the 5 years of the EM residency training program. An exploratory factor analysis with varimax rotation was used to explore the construct validity of the ITER. A total of 172 ITERs were completed on residents across their first to fifth year of training.

A combined, 24-item ITER yielded a five-factor solution measuring the CanMEDs role Medical Expert/ Scholar, Communicator/Collaborator, Professional, Health Advocate and Manager subscales. The factor solution accounted for 79% of the variance, and reliability coefficients (Cronbach alpha) ranged from α = 0.90 to 0.95 for each subscale and α = 0.97 overall. The combined, 24-item ITER used to assess residents’ competencies in the EM residency program showed strong reliability and evidence of construct validity for assessment of the CanMEDS roles.

Further research is needed to develop and test ITER items that will differentiate each CanMEDS role exclusively.