Analysis of trends in perioperative outcomes in over 1000 robotic-assisted anatomic lung resections

Robotic-assisted surgery is gaining popularity as a minimally invasive approach for anatomic lung resection. We investigated the temporal changes in case volume, costs, and postoperative outcomes for robotic-assisted anatomic lung resection in over 1000 cases. We reviewed our institutional STS database for patients who had undergone robotic-assisted lobectomy, bi-lobectomy, or segmentectomy as the primary procedure between years 2009–2021. The patients were divided into two groups: first 500 cases (n = 501) and second 500 cases (n = 500). Temporal trends of case volume, surgical indications, hospital length of stay, costs, and perioperative outcomes were analyzed. A total of 1001 patients were analyzed, of which 968 (96.7%) patients underwent robotic-assisted lobectomy, 21 (2.1%) patients underwent bi-lobectomy, 10 (1.0%) patients underwent segmentectomy, and 3 (0.3%) patients underwent sleeve lobectomy. Primary lung cancer was the most common indication (87.7%), followed by metastatic lung tumors (7.1%), and benign diagnosis (5.2%). The overall postoperative complication rate decreased from 46.1% for the first 500 cases compared to 29.6% for the second 500 cases (p < 0.0001). The median hospital length of stay was down trending, which was 4 days [IQR: 3–7] for the first 500 cases and 3 days [IQR: 3–5] (p = 0.0001) for the second. The inflation-adjusted direct and indirect hospital costs were significantly lower in the second 500 cases (p < 0.0001). The complications rates, hospital costs, and hospital length of stay for robotic-assisted anatomic pulmonary resection decreased significantly over time at a single institution. Continuous improvement in perioperative outcomes may be observed with increasing institutional experience.