New or presumed new left bundle branch block in patients with suspected ST-elevation myocardial infarction. Issue 3 (April 2018)

• Record Type: Journal Article
• Authors: Pera, Vijaya K; Larson, David M; Sharkey, Scott W; Garberich, Ross F; Solie, Christopher J; Wang, Yale L; Traverse, Jay H; Poulose, Anil K; Henry, Timothy D
• Is Part Of: European heart journal. Volume 7:Issue 3(2018)
• Page Start: 208
• Page End: 217
• Publication Date: 2018-04
• Subjects: STEMI guidelines -- new left bundle branch block -- emergent percutaneous coronary intervention -- acute myocardial infarction -- STEMI; 616.1205
• DOI: 10.1177/2048872617691508
• Languages: English
• ISSNs: 2048-8726

Abstract

Aims: Using a comprehensive large prospective regional ST-elevation myocardial infarction (STEMI) system database, we evaluated the prevalence, clinical and angiographic characteristics, and outcomes in patients with ischemic symptoms and new or presumed new left bundle branch block (LBBB). We then tested a new hierarchical diagnosis and triage algorithm to identify more accurately new LBBB patients with an acute culprit lesion. Methods and results: From March 2003 to June 2013, 3903 consecutive STEMI patients were treated using the Minneapolis Heart Institute regional STEMI protocol including 131 patients (3.3%) with new LBBB. These patients had fewer culprit arteries (54.2% vs. 86.4%; P <0.001), were older, more commonly women, with a lower ejection fraction, and more frequently presented with cardiac arrest or heart failure than those without new LBBB. At 1 year follow-up, all-cause mortality accounting for baseline differences was higher in patients with new LBBB (hazard ratio 1.73, 95% confidence interval 1.17–2.58; P =0.007). The new algorithm yielded high sensitivity (97%) and negative predictive value (94%) for identification of a culprit lesion. Using the definition of new LBBB with either hemodynamically unstable features or Sgarbossa concordance criteria on electrocardiogram (ECG), 45% of new LBBB patients would have been treated as 'STEMI equivalent'. Conclusion: Patients with acute ischemic symptoms and new LBBB represent a high-risk population with unique clinical challenges. If validated in an independent dataset, the new algorithm may improve the diagnostic accuracy regarding reperfusion therapy for new LBBB patients.