The Learning Curve of Total Arch Replacement via Single Upper Hemisternotomy Approach in Aortic Dissection

Int J Gen Med. 2023 Nov 16:16:5301-5308. doi: 10.2147/IJGM.S426882. eCollection 2023.

Abstract

Purpose: Upper hemisternotomy (UHS) has benefits over conventional full sternotomy because it ameliorates trauma during cardiac surgery. Owing to its challenging and technically demanding nature, this incision in acute type A aortic dissection (ATAAD) has rarely been reported. This study aimed to analyze the learning curve of total arch replacement (TAR) with moderate hypothermic circulatory arrest via a single UHS approach, which is necessary to guide the training of surgeons in adopting minimally invasive procedures.

Patients and methods: A total of 202 consecutive patients who were definitively diagnosed with ATAAD between July 2016 and June 2021 were enrolled in this retrospective analysis. Patients were divided into three groups based on cumulative sum plots for circulatory arrest time in chronological order. Perioperative characteristics were compared between the groups.

Results: There was significant difference in the circulatory arrest time and cross-clamp time respectively among three groups (39.0 min vs 28.0 min vs 15.0 min, P < 0.001; 104.5 min vs 106.2 min vs 84.1 min, P < 0.001). The ventilation time and first 24-h chest tube drainage were statistically different among groups (35.5 h vs 24.0 h vs 19.0 h, P = 0.031; 220.0 mL vs 192.5 mL vs 125.5 mL, P = 0.043). No other clinical outcome was observed as significant difference.

Conclusion: A cardiac surgeon can convert a conventional full sternotomy to a single UHS for TAR after experiencing a learning curve, to ensure patient safety. The mastery of this minimally invasive surgical technique may be beneficial for the prognosis of patients with ATAAD.

Keywords: aneurysm; cardiac surgical procedures; circulatory arrest; deep hypothermia induced; dissecting; learning curve; sternotomy.

Grants and funding

This work was supported by the Science and Technology Foundation of Liaoning Province, guided by the central government in 2023 (grant 2023JH6/100100034), the National Natural Science Foundation of China for Young Scholars (grant 82100513, 82203909), Science and Technology Projects in Shenyang (grant 21-173-9-49), and the Boost Program for Young Doctors of the Air Force Medical Center (grant 21ZT10).