Background
Left main coronary artery disease (CAD) is associated with poor clinical outcomes; without revascularization, the 3-year mortality reaches 50% [
1]. Coronary artery bypass graft (CABG) surgery has been the standard treatment for patients with left main CAD for a long time [
2]. However, the past few decades have witnessed rapid advances in percutaneous coronary intervention (PCI), including stent technology, adjunctive imaging support, and pharmacotherapy [
3], which substantially changed the revascularization strategy for treating left main CAD. The most recent European and US guidelines made a recommendation with a Class II to I indication for PCI in left main CAD patients with low to intermediate anatomic complexity [
4,
5].
However, these guidelines were mainly based on midterm findings of the SYNTAX trial [
6], the PRECOMBAT trial [
7], and two other small trials [
8,
9], all of which were underpowered to determine the comparative safety and efficacy of PCI versus CABG, particularly for individual hard endpoints. In the last 3 years, long-term follow-up data of the PRECOMBAT and SYNTAX trials [
10,
11], the large-scale EXCEL (Evaluation of Xience Everolimus-Eluting Stent Versus Coronary Artery Bypass Surgery for Effectiveness of Left Main Revascularization; NCT01205776), the NOBLE (Coronary Artery Bypass Grafting vs Drug Eluting Stent Percutaneous Coronary Angioplasty in the Treatment of Unprotected Left Main Stenosis; NCT01496651) trials [
12,
13], and several large-scale adjusted registries [
14‐
16] were published. Notably, the EXCEL and NOBLE trials may be the last clinical trials randomizing patients with left main CAD to PCI or CABG. In this context, we performed a systematic review and meta-analysis of randomized controlled trials (RCTs) and matched observational studies to compare the long-term performance of PCI versus CABG in patients with left main CAD, and to determine whether the development of stents would affect these findings.
Discussion
On the basis of pooled data from 28 studies that included nearly 22,500 patients (over 90,000 patient-years of follow-up) with left main CAD receiving PCI or CABG treatment, we found that PCI was associated with a higher risk for MACCE, which was evident both in studies with newer-generation DES and those with BMS or early-generation DES, mainly driven by higher rates of myocardial infarction and revascularization associated with PCI. The overall risks for all-cause death, cardiac death, stroke, and the composite safety endpoint of death, myocardial infarction, or stroke were similar between PCI and CABG. Stratified analysis showed that the increased risk for myocardial infarction associated with PCI was only evident in patients with BMS or early-generation DES but not newer-generation DES.
Our study has several strengths compared with other reviews [
42‐
44]. First, we included available randomized trials and matched observational studies in the literature to improve the power and reliability of our results. Our report remains the largest database on treatment choice of left main CAD ever analyzed. Such comprehensive literature search made stratified analyses based on important factors possible. Other reviews did not include many recently published large-scale RCTs or registries, enrolled only small-to-moderate number of patients, and were unable to perform important sensitivity analysis based on stent types, etc. [
42‐
45]. Second, we made restricted inclusion and exclusion criteria to decrease the risk of bias. We excluded many available observational studies in unmatched populations or without statistical adjustment to minimize bias from confounding factors. We only included studies with over 100 patients and reporting outcomes with at least 1-year follow-up to minimize the small study effects due to the rarity of cardiovascular events. Several other reviews included unadjusted studies, combining randomized or adjusted studies with these [
43,
44]. Potential bias could not be avoided in their analyses. Additionally, the meta-analysis of Alam et al. [
44] did not set inclusion criteria on the number of patients and duration of follow-up; in their analysis, observational studies with 20 patients in one arm or 6-month follow-up was included. Third, we selected HR as the statistic estimate because it incorporates censoring and time frame, and thus reflects on the nature of survival data. We also performed subgroup analyses of randomized trials calculating OR from raw events to validate the results. The majority of other meta-analyses did not take into account the variation of follow-up across studies, which was actually very large [
44,
46]. Absence of adjustment for this variation could cause potential bias. The study of Athappan et al. [
43] did perform sensitivity analysis by pooling hazard ratios, but their analysis was confined to less than five studies, mostly including only two to three studies in one analysis, making results of sensitivity analysis inaccurate. Fourth, we concluded data from long-term follow-up, made stratified analysis according to the generation of stent, and detected the different performance of newer-generation DES and BMS or early-generation DES as compared with CABG. Again, no other meta-analyses performed or reported the difference between different generations of stents [
42‐
45]. Fifth, analyses of data from long-term follow-up findings on all outcomes were largely consistent across all subgroups. The lack of interaction in subgroups internally confirmed the robustness of our findings.
Our analysis and other reviews [
42‐
45] showed consistent finding that PCI was not associated with an increase in total mortality compared with CABG in treating left main CAD. The conclusion was reinforced by the fact that our findings were consistent across subgroup analyses based on different study design, different generation of stents, and different duration of follow-up, which was not performed in other reviews [
42‐
45]. We consider this finding important because total mortality is the most important safety endpoint of clinical trials. This observation provided the most basic safety support for the use of PCI in left main CAD because it does not increase mortality.
Concerning the broader safety of PCI versus CABG in treating left main CAD, our and a few other meta-analyses [
44] evaluated the composite safety endpoint of all-cause death, myocardial infarction, or stroke. Our study suggested no difference between PCI with newer-generation DES and CABG, but a trend toward disadvantage in PCI with BMS or early-generation DES, when compared with CABG. By contrast, the study of Alam et al. [
44] showed significantly lower rate of this safety endpoint in favor of PCI (OR, 0.63; 95% CI, 0.49–0.82). However, their work must be interpreted with critical caution because of their nature of bias from confounding factors (combined analyses of adjusted and a body of unadjusted studies) and because they did not incorporate the remarkable variation of follow-up within studies. Meanwhile, they enrolled only one third of the patients, most of whom were from unadjusted observational studies (5722 patients versus 18,634 patients in our study). Without causing serious safety outcomes, PCI with newer-generation DES might be a safe alternative revascularization strategy for treatment of left main CAD, especially for those patients who refuse bypass surgery due to the fear of thoracotomy and wound healing. However, it should also be noted that, in the EXCEL trial [
12], the largest RCT on this topic, more safety events occurred in the PCI group between 30 days and 3 years than the CABG group (11.5% versus 7.9%,
P = 0.02). Therefore, the broad safety of PCI with newer-generation DES versus CABG still needs to be confirmed from longer-term follow-up data.
Our overall analysis demonstrated a statically significant difference in rate of myocardial infarction in favor of CABG in long-term follow-up. A similar finding was also observed in the large NOBLE trial [
13], which, however, adopted a different definition of myocardial infarction from others studies by excluding periprocedural myocardial infarction in their analysis. We performed a sensitivity analysis by excluding the NOBLE trial, and found that PCI was still associated with an increased risk for myocardial infarction (HR, 1.58; 95% CI, 1.12–2.23). This observation, however, was not consistent in several prior meta-analyses, probably due to their insufficient power [
43‐
45] or large potential bias from confounding factors [
44]. For instance, in the study of Athappan et al. [
43], myocardial infarction showed a statistically significant trend in favor of CABG in analysis including unadjusted data, but this trend disappeared when the analysis was confined to adjusted data; however, this only contained one to three studies and less than 1500 patients in one analysis. It was notable in our study that PCI-associated high risk for myocardial infarction was only evident in patients receiving BMS or early-generation DES, but not those with newer-generation DES. This is accordant with the concept that rate of myocardial infarction decreases following stent technology development [
47]. Therefore, if PCI is to be performed in patients with left main CAD, a newer-generation DES should be preferred.
A number of meta-analysis showed an overall decreased stroke risk in the PCI arm compared with CABG in patients with left main CAD [
43‐
45]. However, our overall analysis suggested a similar incidence between PCI and CABG, even though a benefit in favor of PCI was seen in patients receiving BMS or early-generation DES. Similar to our findings, in depth analysis of the NOBLE trial [
13] and the overall SYNTAX trial (included left main and three-vessel CAD) [
48] challenged the true risk benefit of PCI by showing that PCI was associated with an increase in late stroke, which might completely counteract the early benefit of PCI [
13]. The reasons why a benefit was observed in BMS and early-generation DES but not newer-generation DES still remain unclear.
Our analysis showed a consistent finding with other reviews and randomized trials [
12,
13] or registry data [
14,
15,
26] that PCI was associated with a remarkably increased risk for revascularization compared with CABG. Although the rapid development of stent technology from BMS to early-generation DES and then to newer-generation DES clearly decreased the rate of revascularization [
47], our subgroup analysis demonstrated persistently higher risk for revascularization in the PCI arm irrespective of the stent types. The comparative risk still needs to be investigated in longer-term follow-up, when graft fail becomes obvious in the CABG arm [
49].
Our study demonstrated a remarkable benefit in favor of CABG with respect to MACCE risk in treating left main CAD. This finding is consistent in subgroups with the BMS or early-generation DES and newer-generation DES, and supported by the NOBLE trial [
13] and a patient-level meta-analysis of the PRECOMBAT and SYNTAX trials [
45]. The increased incidence for MACCE in the PCI arm was mainly driven by higher risk for myocardial infarction and revascularization, but no obvious risk advantage in stroke associated with PCI. Such directional consistency of the individual component outcomes in our study improved the reliability of our analysis and made interpretation of the MACCE endpoint clear.
Limitations
We acknowledge several limitations. First, the results were analyzed on trial level data but not on patient level data. Second, definitions of clinical outcomes other than mortality were based on the definitions in the original studies and thus were not completely uniform across these studies. Third, the reporting of EUROSCORE and SYNTAX score were absent in a large portion of studies, making meta-regression analyses of the effects of these variables on clinical outcomes inaccurate and was therefore not performed. Fourth, selective outcome reporting was observed in a number of observational studies, and publication bias was observed in several outcome analyses. Fifth, heterogeneity is evident in the analyses of certain outcomes. We made several subgroup and meta-regression analyses to explore the heterogeneity, and used random-effects models to incorporate heterogeneity among studies.