Abstract
The prevalence of the left circumflex coronary artery (LCx) as the culprit vessel in ST-segment-elevation myocardial infarction (STEMI) is reportedly lowest among that of the 3 main epicardial arteries, and has not been described for non-STEMI (NSTEMI) and stable angina pectoris. We sought to define the distribution of culprit arteries in these clinical presentations and suggest mechanisms for the differences.
We reviewed 189 coronary angiograms of patients with STEMI, 203 with NSTEMI, and 548 with stable angina (n=940), and compared distributions of stenotic and culprit coronary arteries (lesions prompting intervention).
Obstructive coronary lesions (≥50% narrowing) were more prevalent in the left anterior descending coronary artery (LAD) (36%–38%) and similar in the LCx and right coronary artery (RCA) (27%–29%), regardless of clinical presentation (P <0.01). In NSTEMI and stable angina, culprit vessels and total obstructive disease had the same distribution. In STEMI, however, a culprit LCx was significantly less prevalent (17%) than was total obstructive disease (27%; P <0.01), or a culprit LAD (47%) or RCA (34%) (both P <0.001). In our computed tomographic angiographic model of coronary longitudinal strain (percentage of shortening), LCx strain was only 1.5% ± 2.4%, versus 9.5% ± 2.9% for LAD strain and 10.1% ± 3.9% for RCA strain.
In STEMI, LCx plaques seem less prone to rupturing. Culprit and total disease distributions are similar in NSTEMI and angina, suggesting a different ischemic pathophysiology in these presentations. Lower LCx longitudinal strain might contribute to reduced plaque rupture in STEMI.
Keywords: Acute coronary syndrome/complications/diagnostic imaging; analysis of variance; coronary stenosis/complications/diagnostic imaging/physiopathology; coronary vessels/pathology; diagnostic errors/prevention & control; models, cardiovascular; plaque, atherosclerotic/pathology; retrospective studies; rupture, spontaneous; stress, mechanical
The pathogenesis of acute coronary syndromes (ACS) predominantly involves rupture of atheromatous plaque with superimposed thrombosis.1 The distribution of culprit coronary vessels within the different clinical manifestations of coronary artery disease (CAD)—specifically stable angina pectoris (AP), non-STEMI/unstable angina pectoris (NSTEMI/UA), and ST-segment-elevation myocardial infarction (STEMI)—is unclear. Previous investigators have found inconsistent variabilities in the distribution of culprit lesions among coronary arteries in patients presenting with ACS.2–6 Some authors have noted an underrepresentation of the left circumflex coronary artery (LCx) in STEMI.2,3 To our knowledge, none have looked for differences in significant total atherosclerotic distribution in these patients. Therefore, our objective in this study was to define the distribution of culprit and ≥50% diseased coronary arteries in the aforementioned clinical presentations and suggest mechanisms for the differences.
Patients and Methods
Percutaneous coronary interventions (PCI) were performed in 940 consecutive patients over an 18-month period (March 2014–October 2015) in our coronary catheterization laboratory. Of these, 548 patients had stable AP, 203 had NSTEMI, and 189 had STEMI. Patient data (clinical and procedural) were prospectively collected in our departmental database and analyzed retrospectively. Outcome data (such as bio-markers of myocardial injury, left ventricular [LV] ejection fraction, and wall-motion score) were not included in our analysis, because the focus was presentation type and coronary anatomy. The study was approved by our institutional ethics board.
Coronary Angiography
Coronary angiographic projections were chosen for the visual classification of the coronary artery map in accordance with the guidelines of the American College of Cardiology/American Heart Association.7 In STEMI and NSTEMI, we relied upon electrocardiograms (ECG)8 or echocardiographic identification of the myocardial area at risk9 to conclude that an artery was “culprit”; that is, the artery had at least one lesion needing acute intervention. Each decision was made and recorded by the on-site interventional cardiologist. Total CAD distribution, defined as lesions constituting ≥50% stenosis,10 was also recorded. In patients undergoing PCI for stable AP, culprit lesions were identified and treated by the operator on-site in accordance with the extent of narrowing, as evidenced by findings on stress tests (ECG, echocardiographic, or nuclear) or fractional flow reserve measurements.
Coronary Tree Shortening Model
Earlier investigators have correlated plaque vulnerability to vessel deformation (circumferential, and shear strains),11–13 so we attempted to evaluate longitudinal coronary strain and its relationship to culprit-vessel distribution. Using a coronary computed tomographic angiographic (CCTA) dataset in 14 consecutive analyses conducted to exclude coronary disease, we created a dynamic 3-dimensional coronary artery anatomic model. The study was performed on a Brilliance CT 64-channel computed tomographic scanner (Koninklijke Philips N.V.; Best, The Netherlands), with retrospective ECG gating. Coronary artery measurements were obtained by using IntelliSpace Portal 6 (Philips) reconstructed straight-line multiplanar formatting views at end-diastole and end-systole (phases 0% and 40%, respectively). Longitudinal coronary deformation along the vessel's long axis or longitudinal strain (% change in length) was calculated as follows: coronary artery length (L) was measured from the ostium to a specific identifiable landmark (side branching or an acute angulation) at least 60 mm from the ostium in end-diastole (LED) and in end-systole (LES). The percentage of shortening (longitudinal strain = [LED – LES] / LED) was calculated for the 3 major coronary vessels. Higher strain indicated more shortening.
Statistical Analysis
Continuous data are presented as mean ± SD and categorical data as frequencies and percentages. Distribution analysis was performed with use of χ2 tests to compare the prevalence of the culprit artery between the 3 clinical manifestations of CAD, as appropriate. One-way analysis of variance (ANOVA) with the Tukey-Kramer post hoc test was used to compare the clinical characteristics at presentation and was combined with the Bonferroni correction to detect differences in shortening between various vessels on CCTA. A P value <0.05 was considered statistically significant. Analyses were performed with use of MedCalc® Statistical Software version 16.4.3 (MedCalc Software bvba; Ostend, Belgium).
Results
Table I shows the patients' demographic characteristics and medical histories. When compared with patients who had NSTEMI or stable AP, the STEMI patients were younger, more often male, and more often smokers; however, hypertension, hypercholesterolemia, and diabetes mellitus were less prevalent. There were no significant differences in characteristics between patients with NSTEMI and those with stable AP.
TABLE I.
Coronary Artery Disease and Culprit Lesions
In all clinical presentations, coronary lesions with ≥50% narrowing were somewhat more prevalent in the left anterior descending coronary artery (LAD) (36%–38%) than in the right coronary artery (RCA) and LCx (both 27%–29%; both P <0.01) (Fig. 1 and Table II). In STEMI, a culprit LCx was significantly less prevalent (17%) than that in total CAD (27%; P <0.01) and less prevalent than a culprit LAD (47%) or RCA (34%) (both P <0.001). However, in NSTEMI and stable AP, culprit vessels and total-CAD vessels were similarly distributed. Proximal true LCx involvement as the culprit in STEMI was found in only 8.5% of lesions.
TABLE II.
Coronary Tree Shortening Model
In the 3-dimensional CCTA model, the LAD, most of the RCA, and the distal LCx and its branches traveled along the LV longitudinal axis; conversely, the proximal-to-mid LCx ran in the atrioventricular groove along the circumferential axis of the base of the LV (Fig. 2). In the 14 cases that we reviewed, the mean LAD systolic longitudinal strain was 9.5% ± 2.9% and the mean RCA strain was 10.1% ± 3.9%, compared with 1.5% ± 2.4% for the LCx. When we applied ANOVA with the Bonferroni correction, the differences between groups were significant (P <0.001). The LCx longitudinal strain differed significantly from that of the LAD (P <0.0012; 95% confidence interval [CI]= −0.0314 to −0.105) and the RCA (P <0.001; 95% CI= −0.0544 to −0.118), whereas the LAD and RCA did not differ (P=0.7; 95% CI= −0.0589 to 0.0233). Figure 3 shows an example of CCTA coronary tree reconstruction and measurements of systolic coronary strain.
Discussion
Obstructive CAD (≥50% stenosis) was rather equally distributed among the 3 main coronary vessels regardless of clinical presentation. Whereas culprit vessels followed the same distribution in NSTEMI and stable AP, the LCx was dramatically less prevalent as the culprit in STEMI, and its proximal segment even less so. In contrast, the LAD and its branches were culprits in nearly half the instances. A similar distribution pattern of culprit vessels has been reported.2,4 Reduced sensitivity of the 12-lead ECG in detecting ischemia on the lateral and posterior walls has been suggested as a reason for less frequent diagnosis of STEMI from LCx culprit vessels and thus the decreased referral rates for primary PCI.4,14 Anatomic variability in LCx size, branches, and caliber have also been implicated. However, these factors would not explain our having found the rather even distribution of obstructive CAD that was also very similar to that in NSTEMI and stable AP. Other investigators3 found similar clinical characteristics (male predominance, more smoking, and less hypertension and hypercholesterolemia) and distribution of culprit vessels in a CCTA study comparing ruptured versus intact fibrous-cap plaques in ACS. Thus, the major difference between STEMI and NSTEMI/stable AP would probably lie in the mechanism leading to myocardial ischemia and injury.
Longitudinal Coronary Artery “Squeezing” Theory
Our remaining question concerned why plaques were less likely to rupture in the LCx than in the LAD or RCA. How did the proximal LCx differ from the LAD and RCA, and from its own distal segment and branches?
The answer may have been revealed in the 3-dimensional CCTA model. The RCA and LAD systolic shortening of approximately 10% (similar to that of the LV epicardial longitudinal-strain range)15 differed strikingly from the 1% shortening of the proximal and mid LCx. This difference in shortening might contribute substantially to the lower prevalence of the proximal and mid LCx in STEMI.
Circumferential coronary strain is much easier to evaluate when using intravascular ultrasound. Increased circumferential strain can adversely affect plaque stability.12 Longitudinal strain in CAD has been evaluated only in drug-eluting stents,16 with stent-shortening in the range of 4% to 7% within stiff stents, similar to our estimation range for native coronary arteries (Fig. 3). Investigators11 using intravascular ultrasound, 3-dimensional plaque reconstruction, and virtual histology have shown that increased wall shear stress was inversely correlated with plaque size but directly correlated with the area of the plaque's necrotic core. Thus, under repeated circumferential and longitudinal deformations, the stretching and compressing (“squeezing”) of vulnerable plaques might contribute to their destabilization and eventual tearing.11 However, because ours was not a histopathologic study, we still do not know whether this lower strain mediates the lower rates of STEMI because the LCx develops fewer vulnerable plaques, or because the vulnerable LCx plaques are less prone to rupturing.
Clinical Implications
In STEMI patients, we found fewer culprit lesions in the LCx than in the LAD and RCA, but not an absence thereof. Thus, decreased longitudinal deformation may offer a plausible partial explanation for this phenomenon and help us to understand the mechanisms of plaque rupture. The presence of a relatively well-protected coronary territory should prompt further pathophysiologic research that might yield ideas about new targets and modes of intervention.
Limitations of the Study
Identifying culprit vessels in STEMI and NSTEMI is quite straightforward on the basis of clinical presentation, ECG changes, and regional wall-motion abnormalities in preprocedural echocardiograms. In stable AP, this task is more cumbersome and requires more information derived from preadmission stress testing and fractional flow reserve functional studies during the index coronary angiography. This comparative difficulty might bias the stable-AP group toward a similar culprit and total-CAD distribution.
Conclusions
We have shown that LCx plaques appear to be less prone to rupturing in STEMI. Culprit and total-disease distribution coincide in NSTEMI and AP, suggesting a different ischemic pathophysiology in these presentations. We theorize that lower LCx longitudinal strain contributes to reduced plaque rupture in STEMI.
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