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Intracoronary near-infrared spectroscopy and the risk of future cardiovascular events

Karlsson, Sofia LU ; Anesäter, Erik LU ; Fransson, Klara ; Andell, Pontus LU ; Persson, Jonas and Erlinge, David LU orcid (2019) In Open Heart 6(1).
Abstract

Objectives The objectives of this study were to investigate if findings by intracoronary near-infrared spectroscopy (NIRS) and intravascular ultrasound (IVUS) are associated with future cardiovascular events and if NIRS can differentiate culprit from non-culprit segments in patients with coronary artery disease. Methods The study included 144 patients with coronary artery disease undergoing percutaneous coronary intervention and combined NIRS-IVUS imaging at two Swedish hospitals. The NIRS-derived lipid core burden index (LCBI), the 4 mm segment with maximum LCBI (MaxLCBI 4mm) and the IVUS-derived maximum plaque burden (MaxPB) were analysed within the culprit segment and continuous 10 mm non-culprit segments of the index culprit... (More)

Objectives The objectives of this study were to investigate if findings by intracoronary near-infrared spectroscopy (NIRS) and intravascular ultrasound (IVUS) are associated with future cardiovascular events and if NIRS can differentiate culprit from non-culprit segments in patients with coronary artery disease. Methods The study included 144 patients with coronary artery disease undergoing percutaneous coronary intervention and combined NIRS-IVUS imaging at two Swedish hospitals. The NIRS-derived lipid core burden index (LCBI), the 4 mm segment with maximum LCBI (MaxLCBI 4mm) and the IVUS-derived maximum plaque burden (MaxPB) were analysed within the culprit segment and continuous 10 mm non-culprit segments of the index culprit vessels. The association with future major adverse cardiovascular and cerebrovascular events (MACCE), defined as all-cause mortality, acute coronary syndrome requiring revascularisation and cerebrovascular events during follow-up was evaluated using multivariable Cox regressions. A receiver operating characteristic (ROC) analysis was performed to test the ability of NIRS to discriminate culprit against non-culprit segments. Results A non-culprit maxLCBI 4mm ≥400 (HR: 3.67, 95% CI 1.46 to 9.23, p=0.006) and a non-culprit LCBI ≥ median (HR: 3.08, 95% CI 1.11 to 8.56, p=0.031) were both significantly associated with MACCE, whereas a non-culprit MaxPB ≥70% (HR: 0.61, 95% CI 0.08 to 4.59, p=0.63) was not. The culprit segments had larger lipid cores compared with non-culprit segments (MaxLCBI 4mm 425 vs 74, p<0.001), and the ROC analysis showed that NIRS can differentiate culprit against non-culprit segments (c-statistics: 0.85, 95% CI 0.81 to 0.89). Conclusion A maxLCBI 4mm ≥400 and LCBI ≥ median, assessed by NIRS in non-culprit segments of a culprit artery, were significantly associated with patient-level MACCE. NIRS furthermore adequately discriminated culprit against non-culprit segments in patients with coronary disease.

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author
; ; ; ; and
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
intravascular ultrasound, lipid-rich plaques, near-infrared spectroscopy, vulnerable plaques
in
Open Heart
volume
6
issue
1
article number
e000917
publisher
BMJ Publishing Group
external identifiers
  • pmid:30997122
  • scopus:85061396861
ISSN
2053-3624
DOI
10.1136/openhrt-2018-000917
language
English
LU publication?
yes
id
230ac5d1-d731-425a-88e9-01f8bacc9d60
date added to LUP
2019-02-19 10:34:29
date last changed
2024-04-15 23:28:05
@article{230ac5d1-d731-425a-88e9-01f8bacc9d60,
  abstract     = {{<p>Objectives The objectives of this study were to investigate if findings by intracoronary near-infrared spectroscopy (NIRS) and intravascular ultrasound (IVUS) are associated with future cardiovascular events and if NIRS can differentiate culprit from non-culprit segments in patients with coronary artery disease. Methods The study included 144 patients with coronary artery disease undergoing percutaneous coronary intervention and combined NIRS-IVUS imaging at two Swedish hospitals. The NIRS-derived lipid core burden index (LCBI), the 4 mm segment with maximum LCBI (MaxLCBI 4mm) and the IVUS-derived maximum plaque burden (MaxPB) were analysed within the culprit segment and continuous 10 mm non-culprit segments of the index culprit vessels. The association with future major adverse cardiovascular and cerebrovascular events (MACCE), defined as all-cause mortality, acute coronary syndrome requiring revascularisation and cerebrovascular events during follow-up was evaluated using multivariable Cox regressions. A receiver operating characteristic (ROC) analysis was performed to test the ability of NIRS to discriminate culprit against non-culprit segments. Results A non-culprit maxLCBI 4mm ≥400 (HR: 3.67, 95% CI 1.46 to 9.23, p=0.006) and a non-culprit LCBI ≥ median (HR: 3.08, 95% CI 1.11 to 8.56, p=0.031) were both significantly associated with MACCE, whereas a non-culprit MaxPB ≥70% (HR: 0.61, 95% CI 0.08 to 4.59, p=0.63) was not. The culprit segments had larger lipid cores compared with non-culprit segments (MaxLCBI 4mm 425 vs 74, p&lt;0.001), and the ROC analysis showed that NIRS can differentiate culprit against non-culprit segments (c-statistics: 0.85, 95% CI 0.81 to 0.89). Conclusion A maxLCBI 4mm ≥400 and LCBI ≥ median, assessed by NIRS in non-culprit segments of a culprit artery, were significantly associated with patient-level MACCE. NIRS furthermore adequately discriminated culprit against non-culprit segments in patients with coronary disease.</p>}},
  author       = {{Karlsson, Sofia and Anesäter, Erik and Fransson, Klara and Andell, Pontus and Persson, Jonas and Erlinge, David}},
  issn         = {{2053-3624}},
  keywords     = {{intravascular ultrasound; lipid-rich plaques; near-infrared spectroscopy; vulnerable plaques}},
  language     = {{eng}},
  number       = {{1}},
  publisher    = {{BMJ Publishing Group}},
  series       = {{Open Heart}},
  title        = {{Intracoronary near-infrared spectroscopy and the risk of future cardiovascular events}},
  url          = {{http://dx.doi.org/10.1136/openhrt-2018-000917}},
  doi          = {{10.1136/openhrt-2018-000917}},
  volume       = {{6}},
  year         = {{2019}},
}