CBS 2019
CBSMD教育中心
English

科学研究

科研文章

荐读文献

Echocardiographic Screening for Pulmonary Hypertension in Congenital Heart Disease Circulating Plasma microRNAs In Systemic Sclerosis-Associated Pulmonary Arterial Hypertension Haemodynamic definitions and updated clinical classification of pulmonary hypertension Neoatherosclerosis in Patients With Coronary Stent Thrombosis: Findings From Optical Coherence Tomography Imaging (A Report of the PRESTIGE Consortium) Percutaneous Coronary Intervention For Bifurcation Coronary Lesions.The 15th Consensus Document from the European Bifurcation Club A new optical coherence tomography-based calcium scoring system to predict stent underexpansion Utilization and Outcomes of Measuring Fractional Flow Reserve in Patients With Stable Ischemic Heart Disease Characteristics of stent thrombosis in bifurcation lesions analysed by optical coherence tomography The impact of downstream coronary stenoses on fractional flow reserve assessment of intermediate left main disease Fractional flow reserve in clinical practice: from wire-based invasive measurement to image-based computation

Original Research2019 Jun 26.

JOURNAL:JAMA Cardiol. Article Link

Association of Coronary Anatomical Complexity With Clinical Outcomes After Percutaneous or Surgical Revascularization in the Veterans Affairs Clinical Assessment Reporting and Tracking Program

Valle JA,, Glorioso TJ, Bricker R et al. Keywords: syntax scoring system; anatomical complexity; PCI; surgical revascularization; MACCE

ABSTRACT


IMPORTANCE - Anatomical scoring systems for coronary artery disease, such as the SYNTAX (Synergy Between Percutaneous Coronary Intervention [PCI] With Taxus and Cardiac Surgery) score, are well established tools for understanding patient risk. However, they are cumbersome to compute manually for large data sets, limiting their use across broad and varied cohorts.


OBJECTIVE - To adapt an anatomical scoring system for use with registry data, allowing facile and automatic calculation of scores and association with clinical outcomes among patients undergoing percutaneous or surgical revascularization.


DESIGN, SETTING, AND PARTICIPANTS - This cross-sectional observational cohort study involved procedures performed in all cardiac catheterization laboratories in the largest integrated health care system in the United States, the Veterans Affairs (VA) Healthcare System. Patients undergoing coronary angiography in the VA Healthcare System followed by percutaneous or surgical revascularization within 90 days were observed and data were analyzed from January 1, 2010, through September 30, 2017.


MAIN OUTCOMES AND MEASURES - An anatomical scoring system for coronary artery disease complexity before revascularization was simplified and adapted to data from the VA Clinical Assessment, Reporting, and Tracking Program. The adjusted association between quantified anatomical complexity and major adverse cardiovascular and cerebrovascular events (MACCEs), including death, myocardial infarction, stroke, and repeat revascularization, was assessed for patients undergoing percutaneous or surgical revascularization.


RESULTS - A total of 50 226 patients (49 359 men [98.3%]; mean [SD] age, 66 [9] years) underwent revascularization during the study period, with 34 322 undergoing PCI and 15 904 undergoing coronary artery bypass grafting (CABG). After adjustment, the highest tertile of anatomical complexity was associated with increased hazard of MACCEs (adjusted hazard ratio [HR], 2.12; 95% CI, 2.01-2.23). In contrast, the highest tertile of anatomical complexity among patients undergoing CABG was not independently associated with overall MACCEs (adjusted HR, 1.04; 95% CI, 0.92-1.17), and only repeat revascularization was associated with increasing complexity (adjusted HR, 1.34; 95% CI, 1.06-1.70) in this subgroup.


CONCLUSIONS AND RELEVANCE - These findings suggest that an automatically computed score assessing anatomical complexity can be used to assess longitudinal risk for patients undergoing revascularization. This simplified scoring system appears to be an alternative tool for understanding longitudinal risk across large data sets.