Subject(s)
Brain Diseases , Chest Pain , Male , Humans , Chest Pain/diagnosis , Chest Pain/etiology , ElectrocardiographyABSTRACT
BACKGROUND: Timely and accurate discrimination of wide complex tachycardias (WCTs) into ventricular tachycardia (VT) or supraventricular WCT (SWCT) is critically important. Previously we developed and validated an automated VT Prediction Model that provides a VT probability estimate using the paired WCT and baseline 12-lead ECGs. Whether this model improves physicians' diagnostic accuracy has not been evaluated. OBJECTIVE: We sought to determine whether the VT Prediction Model improves physicians' WCT differentiation accuracy. METHODS: Over four consecutive days, nine physicians independently interpreted fifty WCT ECGs (25 VTs and 25 SWCTs confirmed by electrophysiological study) as either VT or SWCT. Day 1 used the WCT ECG only, Day 2 used the WCT and baseline ECG, Day 3 used the WCT ECG and the VT Prediction Model's estimation of VT probability, and Day 4 used the WCT ECG, baseline ECG, and the VT Prediction Model's estimation of VT probability. RESULTS: Inclusion of the VT Prediction Model data increased diagnostic accuracy versus the WCT ECG alone (Day 3: 84.2% vs. Day 1: 68.7%, p 0.009) and WCT and baseline ECGs together (Day 3: 84.2% vs. Day 2: 76.4%, p 0.003). There was no further improvement of accuracy with addition of the baseline ECG comparison to the VT Prediction Model (Day 3: 84.2% vs. Day 4: 84.0%, p 0.928). Overall sensitivity (Day 3: 78.2% vs. Day 1: 67.6%, p 0.005) and specificity (Day 3: 90.2% vs. Day 1: 69.8%, p 0.016) for VT were superior after the addition of the VT Prediction Model. CONCLUSION: The VT Prediction Model improves physician ECG diagnostic accuracy for discriminating WCTs.
Subject(s)
Electrocardiography , Physicians , HumansABSTRACT
Primary pulmonary artery sarcoma (PPAS) is a rare malignancy that is commonly mistaken for pulmonary embolism due to similarities in clinical presentation and radiographic findings. Distinct radiographic findings to help differentiate between the two diseases are highlighted in the case presented. (1) Several nuances in various imaging modalities have been identified to help distinguish pulmonary artery sarcoma from pulmonary thromboembolic disease. (2) The wall eclipsing sign is considered pathognomonic for pulmonary artery sarcoma. (3) Positron emission tomography/computed tomography may help reduce time between diagnosis and treatment, which may ultimately prolong survival. (4) Providers should be well versed on the subtle differences on imaging to prevent future delays in diagnosis and treatment.