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Intracoronary ultrasound predictors of adverse outcomes after coronary artery interventions
A N Tenaglia1, C E Buller, K B Kisslo
1Department of Medicine, Duke University Medical Center, Durham, North Carolina 27710.
Insights
Intracoronary ultrasound imaging can identify dissection after coronary interventions, predicting adverse outcomes. This helps identify high-risk patients for improved procedural strategies.
Area of Science:
- Cardiovascular Medicine
- Interventional Cardiology
- Medical Imaging
Background:
- Predicting adverse outcomes after coronary interventions is challenging using clinical or angiographic data alone.
- Intracoronary ultrasound (ICUS) imaging offers detailed insights into lesion characteristics.
- ICUS may provide valuable data for risk stratification post-intervention.
Purpose of the Study:
- To assess the association between ICUS-derived lesion characteristics and adverse outcomes post-coronary artery intervention.
- To determine if qualitative and quantitative ICUS findings predict restenosis or other adverse events.
Main Methods:
- 69 patients underwent ICUS immediately after successful coronary intervention (residual stenosis <= 50%).
- Qualitative assessment included plaque composition, topography, and dissection; quantitative measures included lumen dimensions and stenosis severity.
- Adverse outcome was defined as death, bypass surgery, myocardial infarction, or restenosis.
Main Results:
- Dissection detected by ICUS post-intervention was significantly more frequent in patients with adverse outcomes (63% vs. 35%, p < 0.05).
- The severity of dissection also correlated with adverse outcomes (p < 0.05).
- Other qualitative and quantitative ICUS variables did not significantly differentiate between outcome groups.
Conclusions:
- ICUS-detected dissection after coronary intervention is a significant predictor of subsequent adverse events.
- Further research is needed to explore how ICUS findings can guide procedural modifications to improve patient outcomes.
Objectives:
The purpose of this study was to determine the association between qualitative and quantitative lesion characteristics as assessed by intracoronary ultrasound imaging and adverse outcomes after coronary artery interventions.
Background:
Restenosis and other adverse outcomes after coronary artery interventions may be difficult to predict from clinical or angiographic data. Intracoronary ultrasound imaging provides additional data that could prove useful.
Methods:
Immediately after successful coronary artery interventions (angiographic residual stenosis < or = 50%), 69 patients underwent intracoronary ultrasound imaging. Images were assessed qualitatively for plaque composition and topography and for dissection. Quantitative data included measurement of minimal lumen diameter, lumen area, plaque area and percent area stenosis at the treatment and adjacent reference sites. Adverse outcome was defined as death, coronary bypass surgery, myocardial infarction or angiographic restenosis.
Results:
Of the 69 patients, 1 died, 3 had bypass surgery and 1 had a myocardial infarction before planned 6-month repeat catheterization. Two patients were lost to follow-up study. Of the remaining 62 patients, 56 (90%) agreed to follow-up catheterization and 25 (45%) of the 56 had restenosis. Thus, 30 patients had an adverse outcome and 37 had no adverse event. The incidence of dissection detected by ultrasound imaging after an intervention was significantly greater in patients with than in those without a subsequent adverse event (63% vs. 35%, p < 0.05). The severity of dissection also appeared to be related to outcome (p < 0.05). Other qualitative and quantitative variables were not significantly different between the two patient groups.
Conclusions:
Dissection, as assessed by intracoronary ultrasound imaging after a coronary artery intervention, can identify patients at increased risk of subsequent adverse events. Additional studies are warranted to explore whether such imaging may allow modification of interventional procedures to improve outcome.