Matteo Parrinello

Background/Objectives: Elevated RDW has emerged in cardiac surgery as a potential means of preoperative risk stratification with the capacity to predict short- and long-term postoperative mortality, acute kidney injury, and postoperative atrial fibrillation. The question as to whether perioperative hemodynamic instability may be predicted by such a marker remains a topic of ongoing debate. The aim of this study was to explore the relationship between preoperative RDW and prolonged postoperative catecholamine use in minimally invasive mitral valve surgery. Methods: We performed a retrospective monocentric cohort study in an academic hospital; we enrolled patients who had undergone minimally invasive mitral valve surgery (including both robot-assisted and non-robot-assisted procedures) between January 2019 and December 2022. We considered the use of inotropes and/or vasopressors for at least twelve hours after post-surgery ICU admission to qualify as the prolonged postoperative use of catecholamines (PPUC). The RDW was obtained from the routine full blood count analysis performed upon admission or a maximum of 72 h before surgery. We also performed a multivariable logistic regression analysis with PPUC as the dependent variable. Results: We finally enrolled 343 patients. Upon multivariate analysis, RDW >14.4% was independently associated with prolonged postoperative catecholamine use when compared to the reference group (OR 2.62 [1.06–4.84]; p = 0.03). Moreover, the EuroSCORE II score (OR 1.38 [1.03–1.85]; p = 0.03), the cross-clamp time (OR 1.01 [1.01–1.02]; p < 0.01), and robot-assisted mitral valve surgery (OR 0.53 [0.30–0.93]; p < 0.03) were independently associated with the prolonged postoperative use of catecholamines. Conclusions: This study identified that an elevated preoperative RDW (>14.4%), the EuroSCORE II score, and the cross-clamp time independently predict prolonged postoperative catecholamine use in minimally invasive mitral valve surgery patients. Conversely, the robot-assisted approach was associated with a smaller hemodynamic impairment.

Background: Postoperative myocardial injury, as detected by an elevated concentration of high-sensitivity cardiac troponin I (hs-cTnI), is a common complication in cardiac surgery that may be linked to mortality. The primary aim of this study was to assess the risk factors associated with increased myocardial injury in patients undergoing minimally invasive mitral valve surgery. Methods: In this retrospective monocentric cohort study, we analyzed all patients who underwent elective minimally invasive mitral valve surgery between January 2019 and December 2022 and were subsequently admitted to our intensive care unit. The study population was divided into two groups based on the peak hs-cTnI level: the “lower myocardial injury” group comprised patients whose peak serum hs-cTnI level was less than 499 times the 99th percentile, while the “higher myocardial injury” group included those patients who exhibited hs-cTnI levels equal to or greater than 500 times the 99th percentile. A multivariable logistic regression analysis was performed to identify independent risk factors associated with higher myocardial injury. Results: In our final analysis, we enrolled 316 patients. Patients with higher myocardial injury (48; 15%) more frequently had a preoperative New York Heart Association (NYHA) class ≥3 compared to those with lower myocardial injury [33 (69%) vs. 128 (48%); p < 0.01—OR 2.41 (95% CI 1.24–4.64); p < 0.01]. Furthermore, cardiopulmonary bypass and aortic cross-clamp time were significantly longer in the higher myocardial injury group compared to the lower myocardial injury group [117 (91–145) vs. 86 (74–100) min; p < 0.01—OR 1.05 (95% CI 1.03–1.06); p < 0.01]. Moreover, patients who underwent robotic-assisted mitral valve surgery experienced lower myocardial injury rates [9 (19%) vs. 102 (38%); p = 0.01—OR 0.38 (95% CI 0.18–0.81); p = 0.01] than others. These findings remained consistent after adjustment in multivariate logistic regression. In terms of postoperative outcomes, patients with higher myocardial injury exhibited the highest lactate peak in the first 24 h, a higher incidence of postoperative acute kidney injury and a longer duration of mechanical ventilation. Although no patients died in either group, those with higher myocardial injury experienced a longer hospital length of stay. Conclusions: Higher myocardial injury is relatively common after minimally invasive mitral valve surgery. Prolonged aortic cross-clamp duration and higher NYHA class were independently associated with myocardial injury, while robotic-assisted mitral valve surgery was independently associated with lower postoperative myocardial injury.

Background: Pulmonary vein isolation is currently considered to be the gold standard for ablating paroxysmal atrial fibrillation. However, its efficacy is limited in patients with persistent atrial fibrillation. The convergent procedure has emerged as a hybrid ablation. This study aims, for the first time in the literature, to introduce a hybrid approach that includes epicardial ablation with cutting-edge robotic technology and subsequent electrophysiological study to verify and an endocardial ablation to complete the ablation lines. Methods: We present 18 cases of robotic-assisted epicardial hybrid ablation performed between April and December 2023 on patients with long-standing persistent atrial fibrillation (mean age: 64 ± 5 years; mean duration: 4 ± 2 years). All of the procedures were performed at “Humanitas Gavazzeni Hospital”, Bergamo, Italy. Robot-assisted epicardial ablation performed using the “Epi-Sense AtriCure” device was guided by monitoring electrogram morphology and point-by-point impedance drop. This approach also included left atrial appendage occlusion and the disconnection of the ligament of Marshall. An electrophysiological study and endocardial ablation were planned three months after the procedure. Results: The procedure was successfully executed in all patients with no major complications and a mean operative time of 142 ± 22 min. None of the cases required conversion to full sternotomy or minithoracotomy. The procedure was performed in all cases without extracorporeal circulation and on a beating heart. Fifteen patients (83%) were extubated in the operating room. The length of stay in the intensive care unit was less than 24 h. Acute restoration of sinus rhythm was achieved in 12 out of the 18 patients (67%); the median duration of their hospital stay was two days. In the electrophysiological study, seven pts had sinus rhythm, two had atrial fibrillation, and one patient developed atrial flutter at 3-month follow-up. Patients underwent transcatheter ablation to complete the lesion set and, at the time of discharge, were all in sinus rhythm. Conclusions: In our initial experience, surgical atrial fibrillation ablation consisting of a unilateral thoracoscopic technique facilitated by a robotic platform and continuous EGM monitoring has proven to be safe and feasible. For the electrophysiological study at 3 months, completing the gaps in the surgical ablation lines could improve the clinical results of the technique in terms of sinus rhythm stability. However, mid- and long-term follow-up is required to demonstrate this.

Background and objective Renewed interest in robot-assisted cardiac procedures has been demonstrated by several studies. However, concerns have been raised about the need for a long and complex learning curve. In addition, the COVID-19 pandemic in 2020 might have affected the learning curve of these procedures. In this study, we investigated the impact of COVID-19 on the learning curve of robotic-assisted mitral valve surgery (RAMVS). The aim was to understand whether or not the benefits of RAMVS are compromised by its learning curve. Materials and Methods Between May 2019 and March 2023, 149 patients underwent RAMVS using the Da Vinci^® X Surgical System at the Humanitas Gavazzeni Hospital, Bergamo, Italy. The selection of patients enrolled in the study was not influenced by case complexity. Regression models were used to formalize the learning curves, where preoperative data along with date of surgery and presence of COVID-19 were treated as the input covariates, while intraoperative and postoperative data were analyzed as output variables. Results The age of patients was 59.1 ± 13.3 years, and 70.5% were male. In total, 38.2% of the patients were operated on during the COVID-19 pandemic. The statistical analysis showed the positive impact of the learning curve on the trend of postoperative parameters, progressively reducing times and other key indicators. Focusing on the COVID-19 pandemic, statistical analysis did not recognize an impact on postoperative outcomes, although it became clear that variables not directly related to the intervention, especially ICU hours, were strongly influenced by hospital logistics during COVID-19. Conclusions Understanding the learning curve of robotic surgical procedures is essential to ensure their effectiveness and benefits. The learning curve involves not only surgeons but also other health care providers, and establishing a stable team in the early stage, as in our case, is important to shorten the duration. In fact, an exogenous factor such as the COVID-19 pandemic did not affect the robotic program despite the fact that the pandemic occurred early in the program.