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Background: Accurate identification of patients at risk of major adverse cardiac events (MACE) places a substantial burden on emergency physicians (EPs). Bayesian nomogram for risk stratification in low- to intermediate-risk cardiovascular patients has not been investigated previously., Objective: The objective of this study was to develop a comparative diagnostic model using Bayesian statistics for exercise treadmill test (ETT) and stress echocardiogram (ECHO) to calculate post-test diagnostic risk of MACE using HEART (history, electrocardiogram, age, risk factors, and troponin) risk score as predictor of pretest probability., Methods: Stratification was made by applying HEART scores for the prediction of MACE. Likelihood ratios (LR) were calculated using pooled sensitivity and specificity of ETT and ECHO from the American College of Cardiology Foundation/American Heart Association systematic review. Post-test probabilities were obtained after inserting HEART score and LR into Bayesian nomogram. Analysis of variance was used to assess statistical association., Results: Positive LR (LR+) for ETT was 4.56 and negative LR (LR-) was 0.27; for ECHO, LR+ 5.65 and LR- 0.15. Bayesian statistical modeling post-test probabilities for LR+ and low HEART risk yielded a post-test probability for ETT of 7.75% and 9.09% for ECHO; intermediate risk gave 47.62% and 52.63%, respectively. For LR-, low HEART risk post-test probability for ETT was 0.46% and for ECHO 0.26%; intermediate risk probabilities were 4.48% and 2.49%, respectively. LR- was statistically significant in ruling out MACE with ECHO (p < 0.001), but no significant differences were seen for LR+ (p = 0.64)., Conclusions: This Bayesian analysis demonstrated slight superiority of stress ECHO over ETT in low- and intermediate-risk patients in ruling out MACE., (Copyright © 2017 Elsevier Inc. All rights reserved.)

Introduction: No widely accepted, specialized medical training exists for police officers confronted with medical emergencies while under conditions of active threat. The purpose of this study was to assess medical decision-making capabilities of law enforcement personnel under these circumstances., Methods: Web-based surveys were administered to all sworn officers within the county jurisdiction. Thirty-eight key actions were predetermined for nine injured officer scenarios, with each correct action worth one point. Descriptive statistics and t-tests were used to analyze results., Results: Ninety-seven officers (65.1% response rate) responded to the survey. The majority of officers (68.0%) were trained to the first-responder level. Overall mean score for the scenarios was 15.5 +/- 3.6 (range 7-25). A higher level of medical training (EMT-B/P versus first responder) was associated with a higher mean score (16.6 +/- 3.4, p = 0.05 vs. 15.0 +/- 3.6, p = 0.05). Tactical unit assignment was associated with a lower score compared with non-assigned officers (13.5 +/- 2.9 vs. 16.0 +/- 3.6, p = 0.0085). No difference was noted based upon previous military experience. Ninety-two percent of respondents expressed interest in a law enforcement-oriented advanced first-aid course., Conclusions: Tactical medical decision-making capability, as assessed through the nine scenarios, was sub-optimal. In this post 9/11 era, development of law enforcement-specific medical training appears appropriate.