Comprehensive electrocardiogram-to-device time for primary percutaneous coronary intervention in ST-segment elevation myocardial infarction: A report from the American Heart Association mission: Lifeline program.

BACKGROUND: Assessing hospital-related network-level primary percutaneous coronary intervention (PCI) performance for ST-segment elevation myocardial infarction (STEMI) is challenging due to differential time-to-treatment metrics based on location of diagnostic electrocardiogram (ECG) for STEMI. METHODS: STEMI patients undergoing primary PCI at 588 PCI-capable hospitals in AHA Mission: Lifeline (2008-2013) were categorized by initial STEMI identification location: PCI-capable hospitals (Group 1); pre-hospital setting (Group 2); and non-PCI-capable hospitals (Group 3). Patient-specific time-to-treatment categories were converted to minutes ahead of or behind their group-specific mean; average time-to-treatment difference for all patients at a given hospital was termed comprehensive ECG-to-device time. Hospitals were then stratified into tertiles based on their comprehensive ECG-to-device times with negative values below the mean representing shorter (faster) time intervals. RESULTS: Of 117,857 patients, the proportion in Groups 1, 2, and 3 were 42%, 33%, and 25%, respectively. Lower rates of heart failure and cardiac arrest at presentation are noted within patients presenting to high-performing hospitals. Median comprehensive ECG-to-device time was shortest at -9 minutes (25th, 75th percentiles: -13, -6) for the high-performing hospital tertile, 1 minute (-1, 3) for middle-performing, and 11 minutes (7, 16) for low-performing. Unadjusted rates of in-hospital mortality were 2.3%, 2.6%, and 2.7%, respectively, but the adjusted risk of in-hospital mortality was similar across tertiles. CONCLUSIONS: Comprehensive ECG-to-device time provides an integrated hospital-related network-level assessment of reperfusion timing metrics for primary PCI, regardless of the location for STEMI identification; further validation will delineate how this metric can be used to facilitate STEMI care improvements.

Duke Scholars

Author Manesh Raman Patel Medicine, Cardiology

Author Laine Elliott Thomas Biostatistics & Bioinformatics, Division of Biostatistics

Author Matthew Todd Roe Medicine, Cardiology