医学
开胸手术
精确检验
外科
单中心
肺移植
体外
重症监护室
机械通风
入射(几何)
回顾性队列研究
体外膜肺氧合
麻醉
移植
重症监护医学
物理
光学
作者
Xin Jin,Cedric Vanluyten,Michaela Orlitová,Jan Van Slambrouck,Robin Vos,Geert M. Verleden,Laurent Godinas,Arne Neyrinck,Catherine Ingels,Bart M. Vanaudenaerde,Paul De Leyn,Hans Van Veer,Lieven Depypere,Yi Zhang,Dirk Van Raemdonck,Laurens J. Ceulemans
摘要
Background: Lung re-transplantation (re-LTx) is the only therapeutic option for selected patients with advanced allograft dysfunction. This study aims to describe our center's experience to illustrate the feasibility and safety of off-pump re-LTx avoiding clamshell incision. Methods: We performed a retrospective analysis of 42 patients who underwent bilateral re-LTx between 2007 and 2021. Patients were classified according to their surgical approach and extracorporeal life support (ECLS)-use. Demographics, surgical technique, and short- and long-term outcomes were compared between groups. Continuous data were examined with an independent-sample t-test or non-parametric test. Pearson's chi-squared and Fisher's exact were used to analyze categorical data. Results: Twenty-six patients (61.9%) underwent re-LTx by anterior thoracotomy without ECLS. Compared to the more invasive approach (thoracotomy with ECLS and clamshell with/without ECLS, n=16, 38.1%), clamshell-avoiding off-pump re-LTx patients had a shorter operative time (471.6±111.2 vs. 704.0±273.4 min, P=0.010) and less frequent grade 3 primary graft dysfunction (PGD-3) at 72 h (7.7% vs. 37.5%, P=0.038). No significant difference was found in PGD-3 incidence within 72 h, mechanical ventilation, intensive care unit (ICU) and hospital stay, and the incidence of reoperation within 90 days between groups (P>0.05). In the long-term, the clamshell-avoiding and off-pump approach resulted in similar 1- and 5-year patient survival vs. the more invasive approach. Conclusions: Our experience shows that clamshell-avoiding off-pump re-LTx is feasible and safe in selected patients on a case-by-case evaluation.
科研通智能强力驱动
Strongly Powered by AbleSci AI