Near-infrared spectroscopy predicts cardiovascular outcome in patients with coronary artery disease
European Heart Journal 34(suppl 1): 1619-1619
Article 2013 English
Authors
RO
Rohit M. Oemrawsingh
JC
Jin Cheng
HG
Héctor M. García‐García
Abstract
1 min read
Purpose: Intra-coronary near-infrared spectroscopy (NIRS) is capable of identifying lipid core-containing plaques, which can subsequently be quantified as a lipid core burden index (LCBI). Currently, no data are available on the long-term prognostic value of NIRS in patients with coronary artery disease (CAD). Methods: In this prospective, observational study, NIRS imaging was performed in a non-culprit coronary artery in 203 patients referred for angiography due to stable angina pectoris (SAP) or acute coronary syndrome (ACS). Results: The one-year cumulative incidence of the primary endpoint (the composite of all-cause mortality, non-fatal ACS, stroke and unplanned coronary revascularization) was 10.4%. Cumulative one-year rates in patients with an LCBI equal to and above the median (43.0) versus those with LCBI values below the median, were 16.7% versus 4.0% (P=0.003) (adjusted hazard ratio, 4.04; 95% confidence interval, 1.33-12). The relation between LCBI and the primary endpoint was similar in SAP and ACS patients (p-value for heterogeneity=0.14). Similar results were observed for the secondary endpoints of all-cause mortality or non-fatal ACS (8.8% vs. 1.0%, P=0.010), all-cause mortality, non-fatal ACS or stroke (11.8% vs. 1.0%, P=0.002) and all-cause mortality, non-fatal ACS or unplanned coronary revascularization (13.7% vs. 4.0%, P=0.014). KM curves for the primary endpoint Conclusion: CAD patients with a LCBI equal to or above the median of 43.0, as assessed by NIRS in a non-culprit coronary artery, had a four-fold risk of adverse cardiovascular events during one-year follow-up. Apparently, the LCBI as assessed in a non-culprit vessel, reflects vascular vulnerability of the larger coronary tree. Our results should be (externally) validated in a larger sample.
Rohit M. Oemrawsingh, Jin M. Cheng, Héctor M. García‐García, Robert‐Jan van Geuns, Sanneke P.M. de Boer, Cihan Şimşek, Isabella Kardys, Mattie Lenzen, Ron T. van Domburg, Evelyn Regar, Patrick W. Serruys, K. Martijn Akkerhuis, Eric Boersma
Anne‐Sophie Schuurman, Maxime M. Vroegindewey, Isabella Kardys, Rohit M. Oemrawsingh, Jin M. Cheng, Sanneke de Boer, Héctor M. García‐García, Robert‐Jan van Geuns, Evelyn Regar, Joost Daemen, Nicolas M. Van Mieghem, Patrick W. Serruys, Eric Boersma, K. Martijn Akkerhuis
Jin M. Cheng, Matti Suoniemi, Isabella Kardys, Terhi Vihervaara, Sanneke de Boer, K. Martijn Akkerhuis, Marko Sysi‐Aho, Kim Ekroos, Héctor M. García‐García, Rohit M. Oemrawsingh, Evelyn Regar, Wolfgang Köenig, Patrick W. Serruys, Robert‐Jan van Geuns, Eric Boersma, Reijo Laaksonen
Jin M. Cheng, Matti Suoniemi, Isabella Kardys, Terhi Vihervaara, Sanneke P.M. de Boer, K. Martijn Akkerhuis, Marko Sysi‐Aho, Kim Ekroos, Hector Garcia-Garcia, Rohit M. Oemrawsingh, Evelyn Regar, Wolfgang Köenig, Patrick W. Serruys, Robert‐Jan van Geuns, Eric Boersma, Reijo Laaksonen
Sharda S. Anroedh, Rohit M. Oemrawsingh, Robert‐Jan van Geuns, Jin M. Cheng, Héctor M. García‐García, Joost Daemen, Nicolas M. Van Mieghem, Marco Valgimigli, Patrick W. Serruys, Eric Boersma, Isabella Kardys, K. Martijn Akkerhuis, K. Martijn Akkerhuis
Discussion(0)
No comments yet. Be the first to comment.