Safe implementation of robotic-assisted minimally invasive direct coronary artery bypass: application of learning curves and cumulative sum analysis.

BACKGROUND: Learning curves are inevitably encountered when first implementing an innovative and complex surgical technique. Nevertheless, a cluster of failures or complications should be detected early, but not deter learning, to ensure safe implementation. Here, we aimed to examine the presence and impact of learning curves on outcome after robotic-assisted minimally invasive direct coronary artery bypass (RA-MIDCAB).
METHODS: A retrospective analysis of the first 300 RA-MIDCAB surgeries between July 2015 and December 2020 was performed. Learning curves were obtained via logarithmic regression for surgical time. Cumulative sum (CUSUM) analysis was performed for (I) major complications including MI, stroke, repeat revascularization, and mortality, and (II) other complications, including prolonged ventilation, pneumonia, pleura puncture, lung herniation, pericarditis, pleuritis, arrhythmia, wound complications, and delirium. Expected and unacceptable rates were set at 12% and 20%, respectively, for major complications, and at 40% and 60% for other complications, based on historical data in conventional coronary artery bypass grafting (CABG).
RESULTS: Demographic characteristics did not differ between terciles, except for more smokers in the first tercile, and less hypercholesterolemia and more complex procedures in the third tercile. The mean surgical time for all operations was 258±81 minutes, ranging from 127 to 821 minutes. A learning curve was only observed in the first tercile. Subgroup analysis revealed that this learning curve was only observed for procedures consisting of single internal mammary artery (SIMA) with 1 or 2 distal anastomoses but not with bilateral internal mammary arteries (BIMA) or more than 2 distal anastomoses. CUSUM analysis showed that the cumulative rate of major and other complications never crossed the lines for unacceptable rates. Rather, the lower 95% confidence boundary was crossed after 50 cases, indicating improvement in safety.
CONCLUSIONS: These results suggest that integration of RA-MIDCAB in the surgical landscape can be safely achieved and complication rates can quickly be reduced below those expected in traditional CABG. Collective experience plays a key role in overcoming the learning curve when more complex procedures and cases are introduced. 2021 Journal of Thoracic Disease. All rights reserved.

Introduction

The acquisition of new surgical skills and techniques is often associated with a learning curve. With increasing experience, surgical time usually shortens and less complications occur. Previous research has demonstrated the presence of learning curves in minimally invasive surgery of the mitral valve (1,2). Furthermore, it has been shown that even in early stages of implementation of minimally invasive aortic valve replacement, comparable results could be achieved to conventional surgery (3). This illustrates the two-way importance of learning curve and cumulative sum (CUSUM) analyses for complications: these allow for safe monitoring during training of surgeons, and can help to temper reluctance of adopting new procedures.

Robotic-assisted minimally invasive direct coronary artery bypass (RA-MIDCAB) is an especially challenging procedure that is currently being introduced in several hospitals (4). Handling of the robot for internal mammary artery harvesting, operating on a beating hart, anastomosing “in the deep” through a small incision, all require advanced training. Due to the complex nature of the procedure and because safety is a major prerequisite for responsible introduction, we aimed to examine the presence of learning curves and their impact on surgical outcome.

We present the following article in accordance with the STROBE reporting checklist (available at https://dx.doi.org/10.21037/jtd-21-775) (5).

Methods

Population and study design

This study conforms to the ethical guidelines of the Declaration of Helsinki (as revised in 2013) as reflected in a priori approval by the local Ethical Committee of the University Hospitals of Leuven (No.: S64856). Informed consent was taken from all individual participants. A prospectively collected clinical database was retrospectively reviewed to identify the first 300 consecutive patients who underwent RA-MIDCAB at the University Hospitals of Leuven between July 1, 2015 and December 31, 2019. Patients were followed up based on information available in their electronic medical records, as well as hospitalizations and outpatient surgical and cardiology consultations. Minimal period of follow-up for all patients was until discharge or death. The study period was divided into three terciles.

Demographics included age, gender, and body mass index (BMI). Medical comorbidities and risk factors such as obesity, smoking, diabetes mellitus, arterial hypertension, hypercholesterolemia, plasma creatinine levels, and EuroSCORE II, were also collected. Perioperative information contained the presence of previous percutaneous coronary intervention (PCI), admission for acute coronary syndrome, RA-MICAB as part of a hybrid procedure, type of construct, and surgical time. A hybrid procedure was defined as RA-MIDCAB either preceded or followed by PCI within 6 months of the operation. Type of construct was classified as procedures consisting of (I) single internal mammary artery (SIMA) +1 distal anastomosis, (II) SIMA +2 distal anastomoses, or (III) bilateral internal mammary arteries (BIMA) or more than 2 distal anastomoses.

To assess surgical safety, postoperative complications were collected and divided into two groups: major adverse cardiac and cerebrovascular events (MACCE) and other complications. MACCE was defined as the occurrence of myocardial infarction (MI), stroke, repeat revascularization, or mortality within 1 year after surgery. MI was defined in accordance with the Fourth Universal Definition of Myocardial Infarction [2018] (6). Repeat revascularization was defined as any surgical or interventional revascularization performed on previously treated vessels. Other complications consisted of a composite of representative complications after coronary surgery, including prolonged ventilation (defined as ventilation >24 h), pneumonia, pleura puncture, lung herniation, pericarditis, pleuritis, arrhythmia requiring pacemaker implantation, wound complications, or delirium. Pericarditis was defined as inflammation of the two layers of the thin, sac-like membrane that surrounds the heart, as confirmed based on electrocardiography, echocardiography, and/or treatment for pericarditis. Pleuritis was defined as inflammation of the tissue layers (pleura) lining the lungs and inner chest wall, as diagnosed by the characteristic chest pain which is aggravated by breathing, physical findings on examination of the chest and/or chest X-ray. Wound complications were defined as described in a previous report and adapted to thoracotomy (7). Briefly, wound complications ranged from mild and superficial wound problems or infections at the thoracotomy or port sites to severe and deep complications that need subsequent surgical interventions.

Surgical procedure

MIDCAB is a collective term for coronary artery bypass grafting (CABG) procedures that are performed through small incisions as an alternative to median sternotomy. In RA-MIDCAB, harvesting of one or both IMA is performed using the da Vinci Xi robotic system (Intuitive Surgical Inc., Sunnyvale, CA, USA), followed by performance of the anastomosis under direct vision through a small (3–4 cm) left anterior thoracotomy at the fourth intercostal space. The entire procedure is performed on a beating heart and without the use of cardiopulmonary bypass. The detailed technique of RA-MIDCAB has been described elsewhere (8). Three ports were used to facilitate the robotic procedure while permitting the chest to be insufflated with CO2, including one camera port into the 4th intercostal space on the left anterior axillary line and two instrument ports in the 2nd and 6th intercostal spaces close to the left midclavicular line. A soft tissue retractor and regular stabilization devices were used to enhance visualization through the thoracotomy. Quality of the anastomosis was assessed using intraoperative duplex and transit-time flow measurements with calculation of pulsatility index and diastolic and systolic flow. All operations were performed by 3 experienced cardiac surgeons.

Statistical analysis

The Shapiro-Wilk test was used to evaluate normality of data. Continuous variables are expressed as mean ± SD or median (IQR), and differences between groups were tested using the nonparametric Kruskal-Wallis test or the parametric one-way ANOVA test according to data distribution. Pairwise comparisons were made and correction for multiple testing was applied using the Dunn test or Fisher least significant difference test, respectively. Categorical variables are expressed as numbers (%), and differences were assessed with the Chi-squared test.

Logarithmic regression analysis was used to analyze learning curves based on surgical time. To evaluate the trends in the complications rates after RA-MIDCAB, we made use of the sequential probability CUSUM failure analysis. These were assessed for both MACCE and other complications. Expected and unacceptable rates were set at 12% and 20%, respectively, for MACCE and at 40% and 60% for other complications, based on our prior experience and published data in CABG (9-13). These numbers have been defined to reflect the evolution in complication rates that a center might expect when transitioning from conventional CABG to RA-MIDCAB. Learning curves and CUSUM analyses were examined for all 300 procedures. Furthermore, a priori defined subgroup analyses were performed based on: tercile, type of construct, and hybrid vs. non-hybrid procedures. Because it was found that learning curves were restricted to the first 100 procedures, only the first 100 procedures for each of these subgroups were included in the subgroup analyses.

All tests were two-sided, and a P value less than 0.05 was deemed statistically significant. All analyses have been performed using SPSS software version 26 (SPSS Inc.) and R Statistical Software (version 4.0.2, Foundation for Statistical Computing, Vienna, Austria).

Results

Between July 1, 2015 and December 31, 2019, 300 RA-MIDCAB surgeries and a total of 440 anastomoses were performed. Most surgeries comprised a single anastomosis (n=180, 60.0%). In 111 (37.0%) cases, 2 anastomoses were made and in 6 (2.0%) cases 3 anastomoses. Of these 300 surgeries, 185 (61.7%) consisted of a SIMA with 1 distal anastomosis, 86 (28.7%) of a SIMA with 2 distal anastomoses, and 29 (9.7%) consisted of BIMA or more than 2 distal anastomoses. In 70 (23.3%) cases, RA-MIDCAB was performed as part of a hybrid procedure.

Demographics

Demographic characteristics of the study population are described in . The majority of the patients were male (82.3%). The mean age was 66±10 years, with a range of 33 to 90 years. Patients in the first tercile were significantly more often smokers (54%) compared to the second (19.0%, P<0.001) and third tercile (18.0%, P<0.001). The proportion of patients with hypercholesterolemia in the third tercile was significantly lower (71.0%) compared to the first (93.0%, P<0.001) and second tercile (97.0%, P<0.001). Furthermore, the third tercile included more complex operations, as illustrated by a higher proportion of procedures involving BIMA or more than 2 distal anastomoses (19.0%) compared to the first (4.0%, P<0.001) and second (6.0%, P=0.015) tercile. All other demographics were similar between the three terciles.

Table 1

Demographic variables of the full study population

Variable	Tercile 1 (n=100)	Tercile 2 (n=100)	Tercile 3 (n=100)	P value	All (n=300)
Age, mean ± SD	66.6±10.5	66.6±10.4	65.7±9.2	0.783	66.3±10.0
Male gender	88 (88.0%)	82 (82.0%)	77 (77.0%)	0.125	247 (82.3%)
BMI, median (IQR)	27.0 (24.3–29.2)	26.4 (23.7–30.4)	27.7 (24.7–30.1)	0.057	27.2 (24.3–30.0)
Obesity	19 (19.0%)	27 (27.0%)	26 (26.0%)	0.346	72 (24.0%)
Smoking	54 (54.0%)	19 (19.0%)	18 (18.0%)	<0.001	91 (30.3%)
Diabetes mellitus	31 (31.0%)	26 (26.0%)	20 (20.0%)	0.221	77 (25.8%)
Arterial hypertension	68 (68.0%)	57 (57.0%)	58 (58.0%)	0.213	183 (61.0%)
Hypercholesterolemia	93 (93.0%)	97 (97.0%)	71 (71.0%)	<0.001	261 (87.0%)
Creatinine, median (IQR)	1.02 (0.92–1.16)	1.01 (0.92–1.16)	0.94 (0.82–1.12)	0.106	0.99 (0.86–1.17)
EuroSCORE II	1.26 (0.96–1.95)	1.01 (0.90–2.08)	2.02 (1.24–3.52)	0.242	1.48 (0.96–2.43)
Previous PCI	33 (33.0%)	49 (49.0%)	37 (37.0%)	0.055	119 (39.7%)
Prior MI	14 (14.0%)	9 (9.0%)	8 (8.0%)	0.328	31 (10.3%)
Admission for ACS
STEMI	8 (8.0%)	9 (9.0%)	11 (11.0%)	0.759	28 (9.3%)
NSTEMI	18 (18.0%)	10 (10.0%)	14 (14.0%)	0.265	42 (14.0%)
Hybrid procedure	25 (25.0%)	30 (30.0%)	17 (17.0%)	0.095	72 (24.0%)
Construction				0.001
SIMA + 1 distal anastomosis	69 (69.0%)	64 (64.0%)	52 (52.0%)		185 (61.7%)
SIMA + 2 distal anastomoses	27 (27.0%)	30 (30.0%)	29 (29.0%)		86 (28.7%)
BIMA or more than 2 distal anastomoses	4 (4.0%)	6 (6.0%)	19 (19.0%)		29 (9.7%)
Target vessels				0.038
LAD	69 (69.0%)	60 (60.0%)	50 (50.0%)		179 (59.7%)
LAD + Dx	25 (25.0%)	34 (34.0%)	38 (38.0%)		97 (32.3%)
LAD + Cx	0 (0.0%)	2 (2.0%)	6 (6.0%)		8 (2.7%)
Other	4 (4.0%)	4 (4.0%)	6 (6.0%)		14 (4.7%)
Surgical time, min	249±54.2	259±76.0	266±104	0.339	258±80.7

P<0.05 is considered statistically significant. ACS, acute coronary syndrome; BIMA, bilateral internal mammary arteries; BMI, body mass index; IQR, interquartile range; MI, myocardial infarction; NSTEMI, non-ST-elevation myocardial infarction; PCI, percutaneous coronary intervention; SD, standard deviation; SIMA, single internal mammary artery; STEMI, ST-elevation myocardial infarction.

Learning curves

The mean surgical time for all operations was 258±81 minutes, ranging from 127 to 821 minutes. The mean duration was 249±54 minutes in the first tercile, 259±76 minutes in the second, and 266±104 minutes in the third. A learning curve was only observed in the first tercile [y=297−13.3×log(x), P=0.023, R2=0.052] ().

Figure 1

Learning curves. (A) For all 300 consecutive operations; (B,C,D) for the first 100 procedures of subgroups defined based on (B) tercile, (C) type of construct, (D) and hybrid versus non-hybrid procedures. Type of construct was subdivided into procedures including (I) SIMA +1 distal anastomosis, (II) SIMA +2 distal anastomoses, and (III) BIMA or more than 2 distal anastomoses. SIMA, single internal mammary artery; BIMA, bilateral internal mammary artery.

With regard to type of construct, procedures consisting of SIMA with 1 distal anastomosis had a mean surgical time of 234±58 minutes, which showed a significant learning curve in the first 100 procedures of this type [y=291−15.7×log(x), P=0.005, R2=0.072]. Similarly, SIMA with 2 distal anastomoses had a mean surgical time of 268±45, with a significant decrease over time [y=309−11.8×log(x), P=0.024, R2=0.060]. For the group with BIMA or more than 2 distal anastomoses, mean surgical time was 384±137 minutes, but a significant learning curve could not be observed.

Mean surgical time was 260±81 minutes for the hybrid group and 252±74 minutes for the non-hybrid group. There was no significant learning curve in either of these groups.

MACCE

A total of 14 MACCEs were observed within 1 year after the operation (). One-year mortality occurred in 11 patients (3.7%), with 6 deaths in the first, 3 in the second and 2 in the third tercile. Of these, 3 (1.0%) occurred within 30 days after the operation (1 in the first and 2 in the third tercile). Two repeat revascularizations were required, of which 1 in the second and 1 in the third tercile. There was 1 MI in the second tercile. No strokes occurred.

Table 2

Summary of surgical complications in the full study population

Variable	Tercile 1 (n=100), n (%)	Tercile 2 (n=100), n (%)	Tercile 3 (n=100), n (%)	P value	All (n=300), n (%)
MACCE
MI	0 (0.0)	1 (1.0)	0 (0.0)	0.369	1 (0.3)
Stroke	0 (0.0)	0 (0.0)	0 (0.0)	1.000	0 (0.0)
Repeat revascularization	0 (0.0)	1 (1.0)	1 (1.0)	0.607	2 (0.7)
Mortality	6 (6.0)	3 (3.0)	2 (2.0)	0.295	11 (3.7)
Other complications
Prolonged ventilation	5 (5.0)	37 (37.0)	31 (31.0)	<0.001	73 (24.3)
Pneumonia	8 (8.0)	11 (11.0)	14 (14.0)	0.387	33 (11.0)
Pleura puncture	6 (6.0)	4 (4.0)	7 (7.0)	0.639	17 (5.7)
Lung herniation	0 (0.0)	1 (1.0)	0 (0.0)	0.369	1 (0.3)
Pericarditis	20 (20.0)	22 (22.0)	39 (39.0)	0.004	81 (27)
Pleuritis	2 (2.0)	3 (3.0)	2 (2.0)	0.865	7 (2.3)
Arrhythmia requiring pacemaker implantation	1 (1.0)	0 (0.0)	1 (1.0)	0.604	2 (0.7)
Wound complications	14 (14.0)	17 (17.0)	7 (7.0)	0.088	38 (12.7)
Delirium	4 (4.0)	8 (8.0)	3 (3.0)	0.229	15 (5.0)

P<0.05 is considered statistically significant. MACCE, major adverse cardiac and cerebrovascular events; MI, myocardial infarction.

CUSUM analysis showed that the cumulative rate of MACCE never crossed the lines for unacceptable rates (). Rather, after a short initial phase with the cumulative rate of MACCE close to the baseline, the lower 95% confidence boundary was crossed after 50 cases, indicating improvement in safety. Similar findings were observed in the subgroup analyses, except for hybrid procedures and procedures involving BIMA or more than 2 distal anastomoses, where the lower 95% confidence boundary was not crossed ().

Figure 2

CUSUM analyses for MACCE complications. (A) For all 300 consecutive operations; (B,C,D) for the first 100 procedures of subgroups defined based on (B) tercile, (C) type of construct, (D) and hybrid versus non-hybrid procedures. Type of construct was subdivided into procedures including (I) SIMA +1 distal anastomosis, (II) SIMA +2 distal anastomoses, and (III) BIMA or more than 2 distal anastomoses. The red line represents the cumulative sum of complications, while the expected rate of complications and its 95% confidence boundaries are represented by the grey lines. CUSUM, cumulative sum; BIMA, bilateral internal mammary artery; MACCE, major adverse cardiac and cerebrovascular events; SIMA, single internal mammary artery.

Other complications

Overall, 139 other complications were reported (). Of these, 40 occurred in the first tercile, 47 in the second tercile, and 52 in the third tercile. Prolonged ventilation was less frequent in the first tercile (5.0%) compared to the second (37.0%, P<0.001) and third (31.0%, P<0.001). On the other hand, the occurrence of pericarditis significantly increased in the third tercile (39.0%), compared to the first (20.0%, P=0.009) and second tercile (22.0%, P=0.027) in the third tercile. All other complications were evenly distributed across the three terciles.

CUSUM analysis revealed that the cumulative rate of minor events never crossed the lines for unacceptable rates (). Rather, the lower 95% confidence boundary was crossed after 50 cases, indicating improvement in safety. However, subgroup analyses revealed that this safety advantage was limited to the first and second tercile, SIMA with 1 distal anastomosis, and non-hybrid procedures (). The lower 95% confidence boundary was not crossed for procedures in the third tercile, for those involving SIMA with 2 distal anastomoses, BIMA or more than 2 distal anastomoses, and for hybrid procedures.

Figure 3

CUSUM analyses for other complications. (A) For all 300 consecutive operations; (B,C,D) for the first 100 procedures of subgroups defined based on (B) tercile, (C) type of construct, (D) and hybrid versus non-hybrid procedures. Type of construct was subdivided into procedures including (I) SIMA +1 distal anastomosis, (II) SIMA +2 distal anastomoses, and (III) BIMA or more than 2 distal anastomoses. The red line represents the cumulative sum of complications, while the expected rate of complications and its 95% confidence boundaries are represented by the grey lines. CUSUM, cumulative sum; BIMA, bilateral internal mammary artery; SIMA, single internal mammary artery.

Discussion

Learning curves are inevitably encountered when first implementing an innovative and complex surgical technique. Nevertheless, a cluster of failures or complications should be detected early, but not deter learning, to ensure safe implementation. In this study, we applied learning curves and CUSUM analysis to track the learning process in RA-MIDCAB. A learning curve was only observed in the first tercile and was restricted mainly to procedures involving SIMA with 1 or 2 distal anastomoses. Furthermore, the lower 95% confidence boundary of the CUSUM curves for MACCE and other complications were crossed after 50 cases, indicating improvement in safety. These results suggest that integration of RA-MIDCAB in the surgical landscape can be safely achieved and complication rates can quickly be reduced below those expected in conventional CABG.

RA-MIDCAB

CABG is an established approach for the treatment of severe coronary artery disease but is associated with morbidity related to median sternotomy and cardiopulmonary bypass (14). In an attempt to improve short- and long-term outcomes after the procedure, minimally invasive techniques for myocardial revascularization have been introduced in the past two decades. During RA-MIDCAB, one or both internal mammary arteries are harvested using a robotic system and anastomoses are performed under direct vision through a small anterior thoracotomy. The entire procedure is performed on a beating heart, thus abandoning the detrimental effects of cardiopulmonary bypass on risk of embolization, inflammation, and acute renal failure (15).

Previous reports have demonstrated that RA-MIDCAB is a safe and efficacious alternative to traditional CABG, providing favorable short-term outcomes and long-term graft patency (16,17). Additional advantages of the technique include reduced need for blood transfusion, shorter hospital stay, and improved quality of life (18). However, despite having been around for more than two decades, the technique only represents 1% of all CABG surgeries performed each year (15). One of the main barriers to wide-spread implementation is cost: depending on the calculation methods, RA-MIDCAB would generate an extra cost of 6–13% (19). However, it has been suggested that improvements in postoperative quality of life and a more expeditious return to work might make robotic surgery overall cost-effective (20). Another barrier is the issue of increased technical and logistical complexity, as well as limited supporting evidence for the procedure. Creating anastomoses on a beating heart and manipulation of the heart through a small thoracotomy are challenging and require advanced surgical skills (21). Furthermore, hemodynamic management and maintenance of single-lung ventilation during the procedure depend on considerable experience and training of anesthesiologists and nursing staff (22).

As a result, RA-MIDCAB provides a unique model to investigate learning processes. It creates a setting where all surgeons, anesthesiologists, and other surgical staff are confronted by the technical and logistic challenges of a new procedure, relying on each other’s assistance and knowledge. In the present study, we found that that the learning curve of our center collectively showed a stabilization in the second tercile while a significant reduction of complications occurred after the 50th procedure. These results seem to suggest that about 50 operations are required to overcome the learning process and obtain favorable results with RA-MIDCAB.

Of note, the surgical team at our institution had extensive prior experience with off-pump CABG (OPCAB). This implies that the surgeons had experience with anastomotic suturing on a beating heart, cardiac stabilizer devices, and apical suction devices. Furthermore, standardized protocols for hemodynamic management during off-pump procedures were already in place. In addition, the surgeons and anesthesiologists received advanced training in aspects of minimally invasive cardiac surgery before implementing the RA-MIDCAB program at our center. The fact that no increase in the complication rate during the beginning phase was seen, might at least in part be attributable to this prior experience.

Surgical times do not usually play a decisive role in patient outcomes, as long as they are not excessively long. Nonetheless, surgical times have been shown to reflect the cumulative experience of the full surgical team (23,24). Thus, learning curves can act as a useful proxy for improvements in performance of a surgical team (25). Based on our study, most improvements in surgical time were observed within the first 100 procedures, as evidenced by the absence of a significant learning curve in later procedures.

Although no learning curve could be observed for procedures with BIMA or more than 2 distal anastomoses, it might be argued that this was due to the small number of cases in this group (n=29). To test this hypothesis, we conducted a sensitivity analysis where a learning curve was constructed based on the first 29 procedures involving SIMA with 1 distal anastomosis. A significant learning curve was still observed [y=305−20×log(x), P=0.003, R2=0.290], indicating that if a clear learning curve would have been present in procedures with BIMA or more than 2 distal anastomoses, this should have been observed within our dataset. However, the learning curve might have been masked either due to earlier experience with RA-MIDCAB or because it takes longer to significantly reduce surgical time in these more complex procedures.

Complications

CUSUM analysis is a powerful statistical technique that allows tracking of changes in peri-operative mortality and morbidity in the course of implementation of a new surgical technique (26). As it can be repeated as often as desired, even after each operation, it provides an almost real-time monitoring of surgical performance. Such information may be critically important to those centers that are planning to adopt an RA-MIDCAB program. From an educational perspective, CUSUM analysis may be helpful in establishing dedicated training programs and monitoring individual surgeon’s complication rates.

Our observed number of operations to reach a turning point toward a lower complication rate was 50 procedures. It needs to be taken into account that the operations in our study were performed by a surgical team with extensive prior experience in OPCAB. Furthermore, the introduction of RA-MIDCAB was supported and supervised by world experts from other centers. One can conclude from our observations that, in experienced hands, the learning curve for RA-MIDCAB can be overcome relatively quickly.

One-year mortality (3.7%) was comparable with other reports of RA-MIDCAB (1.4–4%) (27-29), and 30-day mortality (1.0%) tended to be lower than predicted by the EuroSCORE II (1.5%). In addition, acute coronary syndrome was a common indication for RA-MIDCAB in our experience, and progressively patients with multivessel disease, history of transplantation, or those scheduled for redo surgery were included. A study by Lichtenberg et al. (30) found that a mortality of 3.6% can be expected for RA-MIDCAB in patients with multivessel disease. Importantly, no periprocedural stroke was reported in any of the 300 patients in our study, which might result from the fact that RA-MIDCAB abandons the need for aortic cross-clamping.

Other complications were mainly driven by pericarditis, prolonged ventilation, and wound complications. Pericarditis was more common in the third tercile, probably reflecting our change in practice in the past years to maintain a lower threshold of clinical suspicion of this complication when patients report chest pain or other non-specific symptoms after the procedure. As such, more cases of pericarditis might have been diagnosed in the third tercile compared to the first and second. The higher incidence of prolonged ventilation in the last two terciles might be due to the introduction of more complex procedures in higher-risk patients. Furthermore, procedures including BIMA or more than 2 distal anastomoses were mainly introduced in the two last terciles (); in these patients, our policy was to send them to the intensive care unit for close monitoring out of precaution, thus explaining the higher proportion of prolonged ventilation. Similarly, the observation that the reduction in complications was less pronounced for hybrid procedures might be explained by the higher risk profile of these patients (31). Lastly, it should be highlighted that wound complications included issues ranging from superficial wound problems such as local redness and minimal drainage to deep wound complications and dehiscence at the thoracotomy or port sites (7).

Perspectives on safe implementation of RA-MIDCAB

As suggested above, optimal outcomes with implementation of RA-MIDCAB can be ensured by means of appropriate training and collective experience of the surgical team (32). Formal training courses to obtain specific skills required for RA-MIDCAB and assistance from expert practitioners during the first procedures are thus recommended. Furthermore, careful patient selection during the initial phase of the program, restricting to more simple cases, is essential. Finally, institutional factors such as prior experience of the team with OPCAB and familiarity of anesthesiologists with hemodynamic management during off-pump cardiac surgery should be considered. Keeping these conditions in mind, we believe that RA-MIDCAB can be implemented safely and efficiently.

Future research efforts should focus on improving surgical technique, developing novel technologies to assist RA-MIDCAB, establishing guidelines for the optimal implementation of RA-MIDCAB programs, and investigating tools such as CUSUM analysis which can help to monitor safety in real-time during implementation of new techniques and as part of the education of residents and fellows.

Limitations

A possible limitation of this study is the small sample size of the subanalyses. However, we specifically aimed to capture the introductory phase of RA-MIDCAB at our institution, as this gives an exclusive insight into how a center starts to accumulate experience. Furthermore, due to the retrospective nature of this study, data on complications were retrieved through electronic medical records. Therefore, there might have been heterogeneity in the reporting of certain outcomes. Lastly, the interval between the different procedures might have had an effect on the learning curve and complication rate, but this could not be accounted for.

Conclusions

In conclusion, these results suggest that integration of RA-MIDCAB in the surgical landscape can be safely achieved and complication rates can quickly be reduced below those expected in traditional CABG. Collective experience plays a key role in overcoming the learning curve when more complex procedures and cases are introduced. Real-time monitoring of the learning process using learning curves and CUSUM analysis may facilitate this process.

The article’s supplementary files as