CBS 2019
CBSMD教育中心
English

科学研究

科研文章

荐读文献

Long-Term Durability of Transcatheter Heart Valves: Insights From Bench Testing to 25 Years Metabolic Interactions and Differences between Coronary Heart Disease and Diabetes Mellitus: A Pilot Study on Biomarker Determination and Pathogenesis Age-Related Characteristics and Outcomes of Patients With Heart Failure With Preserved Ejection Fraction The Year in Cardiovascular Medicine 2020: Imaging: Looking back on the Year in Cardiovascular Medicine for 2020 in the field of imaging are Fausto Pinto, José Luis Zamorano and Chiara Bucciarelli-Ducci. Judy Ozkan speaks with them Comparison of paclitaxel-eluting stents (Taxus) and everolimus-eluting stents (Xience) in left main coronary artery disease with 3 years follow-up (from the ESTROFA-LM registry) Universal Definition and Classification of Heart Failure: A Report of the Heart Failure Society of America, Heart Failure Association of the European Society of Cardiology, Japanese Heart Failure Society and Writing Committee of the Universal Definition of Heart Failure The Management of Atrial Fibrillation in Heart Failure: An Expert Panel Consensus Timing of Intervention in Aortic Stenosis Clinical applications of machine learning in the diagnosis, classification, and prediction of heart failure Comprehensive intravascular ultrasound assessment of stent area and its impact on restenosis and adverse cardiac events in 403 patients with unprotected left main disease

Original Research2020 Jun 1;41(21):1988-1999.

JOURNAL:Eur Heart J. Article Link

Simple Electrocardiographic Measures Improve Sudden Arrhythmic Death Prediction in Coronary Disease

NA Chatterjee, JT Tikkanen, PREDETERMINE Investigators et al. Keywords: sudden death; arrhythmic death; electrocardiogram; CHD

ABSTRACT

AIMS -  To determine whether the combination of standard electrocardiographic (ECG) markers reflecting domains of arrhythmic risk improves sudden and/or arrhythmic death (SAD) risk stratification in patients with coronary heart disease (CHD).

 

METHODS AND RESULTS -  The association between ECG markers and SAD was examined in a derivation cohort (PREDETERMINE; N = 5462) with adjustment for clinical risk factors, left ventricular ejection fraction (LVEF), and competing risk. Competing outcome models assessed the differential association of ECG markers with SAD and competing mortality. The predictive value of a derived ECG score was then validated (ARTEMIS; N = 1900). In the derivation cohort, the 5-year cumulative incidence of SAD was 1.5% [95% confidence interval (CI) 1.1-1.9] and 6.2% (95% CI 4.5-8.3) in those with a low- and high-risk ECG score, respectively (P for Δ < 0.001). A high-risk ECG score was more strongly associated with SAD than non-SAD mortality (adjusted hazard ratios = 2.87 vs. 1.38 respectively; P for Δ = 0.003) and the proportion of deaths due to SAD was greater in the high vs. low risk groups (24.9% vs. 16.5%, P for Δ = 0.03). Similar findings were observed in the validation cohort. The addition of ECG markers to a clinical risk factor model inclusive of LVEF improved indices of discrimination and reclassification in both derivation and validation cohorts, including correct reclassification of 28% of patients in the validation cohort [net reclassification improvement 28 (7-49%), P = 0.009].

 

CONCLUSION -  For patients with CHD, an externally validated ECG score enriched for both absolute and proportional SAD risk and significantly improved risk stratification compared to standard clinical risk factors including LVEF.

 

CLINICAL TRIAL REGISTRATION -  https://clinicaltrials.gov/ct2/show/NCT01114269. ClinicalTrials.gov ID NCT01114269.