Prognostic value of atherosclerotic burden and coronary vascular function in patients with suspected coronary artery disease(128 visite) Assante R, Acampa W, Zampella E, Arumugam P, Nappi C, Gaudieri V, Mainolfi CG, Panico M, Magliulo M, Tonge CM, Petretta M, Cuocolo A
Eur J Nucl Med (ISSN: 1619-7070, 1619-7089, 1619-7070print), 2017 Aug 16; N/D: N/D-N/D.
Tipo di articolo: Journal Article,
Impact factor: 7.704, Impact factor a 5 anni: 6.553
*** IBB - CNR *** Department of Advanced Biomedical Sciences, University Federico II, Naples, Italy., Institute of Biostructure and Bioimaging, National Council of Research, Naples, Italy., Nuclear Medicine Center, Central Manchester University Teaching Hospitals, Manchester, UK., Department of Translational Medical Sciences, University Federico II, Naples, Italy., Department of Advanced Biomedical Sciences, University Federico II, Naples, Italy. email@example.com.,
PURPOSE: To evaluate the prognostic value of coronary atherosclerotic burden, assessed by coronary artery calcium (CAC) score, and coronary vascular function, assessed by coronary flow reserve (CFR) in patients with suspected coronary artery disease (CAD). METHODS: We studied 436 patients undergoing hybrid 82Rb positron emission tomography/computed tomography imaging. CAC score was measured according to the Agatston method, and patients were categorized into three groups (0, <400, and >/=400). CFR was calculated as the ratio of hyperemic to baseline myocardial blood flow, and it was considered reduced when <2. RESULTS: Follow-up was 94% complete during a mean period of 47+/-15 months. During follow-up, 17 events occurred (4% cumulative event rate). Event-free survival decreased with worsening of CAC score category (p < 0.001) and in patients with reduced CFR (p < 0.005). At multivariable analysis, CAC score >/=400 (p < 0.01) and CFR (p < 0.005) were independent predictors of events. Including CFR in the prognostic model, continuous net reclassification improvement was 0.51 (0.14 in patients with events and 0.37 in those without). At classification and regression tree analysis, the initial split was on CAC score. For patients with a CAC score < 400, no further split was performed, while patients with a CAC score >/=400 were further stratified by CFR values. Decision curve analyses indicate that the model including CFR resulted in a higher net benefit across a wide range of decision threshold probabilities. CONCLUSIONS: In patients with suspected CAD, CFR provides significant incremental risk stratification over established cardiac risk factors and CAC score for prediction of adverse cardiac events.
144 Records (130 escludendo Abstract e Conferenze). Impact factor totale: 470.381 (409.059 escludendo Abstract e Conferenze). Impact factor a 5 anni totale: 496.327 (426.597 escludendo Abstract e Conferenze).