Risk factors for intraoperative portal vein thrombosis in pediatric living donor liver transplantation

Yu Cheng(Chang Gung University), Chao Long Chen(Chang Gung University), Tung Liang Huang, Tai Yi Chen, Yaw Sen Chen(Chang Gung University), Mitsuhisa Takatsuki(Chang Gung University), Chih Chi Wang(Chang Gung University), King‐Wah Chiu(Chang Gung University), Leo Leung‐Chit Tsang, Po Lin Sun, Bruno Jawan(Chang Gung University)
Clinical Transplantation
May 26, 2004
Cited by 56

Abstract

Pathologic changes of the recipient native portal venous system may cause thrombosis of the portal vein, especially in pediatric living donor liver transplantation (LDLT). This study assessed the utility of Doppler ultrasound (US) for the detection of intraoperative portal vein occlusion and identification of predisposing risk factors in the recipients. Seventy-three pediatric recipients who underwent LDLT at Chang Gung Memorial Hospital, Taiwan, from 1994 to 2002 were included. Preoperative and intraoperative Doppler US evaluation of the portal vein was performed. Age, body weight, native liver disease, type of graft, graft recipient weight ratio (GRWR), type of portal anastomosis, portal velocity, portal venous size and presence of portosystemic shunt were analyzed for statistical significance of predisposing risk factors. Eight episodes of intraoperative portal vein thrombosis, with typical findings of absent Doppler flow in portal vein and prominent hepatic artery with a resistant index lower than 0.5 (p < 0.001), were detected during transplantation, which was then corrected by thrombectomy and re-anastomosis. Children age < or =1 yr (p = 0.025), weight < or =10 kg (p = 0.024), low portal flow < or =7 cm/s (p = 0.021), portal venous size < or =4 mm (p = 0.001), and GRWR >3 (p < 0.017) were all risk factors for intraoperative portal vein thrombosis. Doppler US is essential in the preoperative evaluation, early detection and monitoring of outcome of the portal vein in liver transplant.


Related Papers

No related papers found

Powered by citation graph analysis