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.
NO-AVB is a frequent complication following SU-AVR, and its incidence strongly depends on the surgical technique. Baseline first-degree AVB and LaQD independently predict NO-AVB and should be considered when deciding the duration of postoperative electrocardiographic monitoring.
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