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New Electrocardiographic Algorithm for the Diagnosis of Acute Myocardial Infarction in Patients With Left Bundle
Andrea Di Marco1, Marcos Rodriguez1, Juan Cinca2
1Heart Disease Institute Bellvitge University Hospital Barcelona Spain.
Insights
A new BARCELONA algorithm offers high sensitivity and specificity for diagnosing acute myocardial infarction (AMI) in patients with left bundle branch block, improving diagnostic accuracy.
Area of Science:
- Cardiology
- Electrocardiography
- Medical Diagnostics
Background:
- Existing electrocardiographic algorithms have limited accuracy in diagnosing acute myocardial infarction (AMI) when left bundle branch block (LBBB) is present.
- Accurate diagnosis of AMI in LBBB patients is crucial for timely intervention and improved outcomes.
Purpose of the Study:
- To develop and validate a novel electrocardiographic algorithm for the accurate diagnosis of AMI in patients with LBBB.
- To compare the diagnostic performance of the new algorithm against existing criteria.
Main Methods:
- A multicenter retrospective cohort study involving 484 patients with suspected AMI and LBBB undergoing primary percutaneous coronary intervention.
- Development of the BARCELONA algorithm using a derivation cohort (n=163) and validation in a separate cohort (n=107), with a control group (n=214).
- Evaluation of algorithm performance based on sensitivity, specificity, negative predictive value, and area under the ROC curve.
Main Results:
- The BARCELONA algorithm demonstrated high sensitivity (93%-95%) and specificity (89%-94%) for AMI diagnosis in both derivation and validation cohorts.
- The algorithm significantly outperformed previous electrocardiographic rules (P<0.01).
- Diagnostic accuracy was comparable to that of ECG in patients without LBBB.
Conclusions:
- The BARCELONA algorithm is a specific and highly sensitive tool for diagnosing AMI in patients with LBBB.
- This new algorithm significantly enhances diagnostic accuracy, potentially improving patient management and outcomes.
Abstract:
Background Current electrocardiographic algorithms lack sensitivity to diagnose acute myocardial infarction (AMI) in the presence of left bundle branch block. Methods and Results A multicenter retrospective cohort study including consecutive patients with suspected AMI and left bundle branch block, referred for primary percutaneous coronary intervention between 2009 and 2018. Pre-2015 patients formed the derivation cohort (n=163, 61 with AMI); patients between 2015 and 2018 formed the validation cohort (n=107, 40 with AMI). A control group of patients without suspected AMI was also studied (n=214). Different electrocardiographic criteria were tested. A total of 484 patients were studied. A new electrocardiographic algorithm (BARCELONA algorithm) was derived and validated. The algorithm is positive in the presence of ST deviation ≥1 mm (0.1 mV) concordant with QRS polarity, in any lead, or ST deviation ≥1 mm (0.1 mV) discordant with the QRS, in leads with max (R|S) voltage (the voltage of the largest deflection of the QRS, ie, R or S wave) ≤6 mm (0.6 mV). In both the derivation and the validation cohort, the BARCELONA algorithm achieved the highest sensitivity (93%-95%), negative predictive value (96%-97%), efficiency (91%-94%) and area under the receiver operating characteristic curve (0.92-0.93), significantly higher than previous electrocardiographic rules (P<0.01); the specificity was good in both groups (89%-94%) as well as the control group (90%). Conclusions In patients with left bundle branch block referred for primary percutaneous coronary intervention, the BARCELONA algorithm was specific and highly sensitive for the diagnosis of AMI, leading to a diagnostic accuracy comparable to that obtained by ECG in patients without left bundle branch block.
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