Barshes Neal R, Becker Natasha S, Washburn W Kenneth, Halff Glenn A, Aloia Thomas A, Goss John A
Michael E. DeBakey Department of Surgery, Baylor College of Medicine, Houston, TX 77030, USA.
Liver Transpl. 2007 May;13(5):747-51. doi: 10.1002/lt.21158.
Although the Model for End-Stage Liver Disease (MELD) scoring system has improved the ability to measure medical urgency for transplantation, geographic disparities in the probability of being delisted as a result of complications of end-stage liver disease or death and in the probability of orthotopic liver transplantation (OLT) remain. The purpose of the current study was to identify factors associated with these variations among donor service areas (DSAs) in one United Network for Organ Sharing (UNOS) region. Data for 2,948 candidates listed for OLT within 4 DSAs in UNOS region 4 between February 2002 and November 2005 were obtained from UNOS. Multivariate regression models were used to identify study factors associated with delisting (due to deterioration or death) and likelihood of OLT. After risk adjustment for candidate characteristics, those listed in DSA-3 and DSA-4 were at significantly higher risk of delisting than candidates listed in DSA-2 (hazard ratio, 1.22 and 1.10 vs. 0.87 for DSA-2; P = 0.01 and 0.05, respectively). In addition, the likelihood of OLT was significantly higher for candidates listed in DSA-1 than in DSA-2, DSA-3 or DSA-4 (hazard ratio, 1.00 compared with 0.45, 0.77, and 0.51; P < 0.001 for all pairwise comparisons). Despite the implementation of the MELD system, great geographic disparities exist in the likelihood of delisting and for OLT, suggesting the need for further refinement in regional allocation strategies.
尽管终末期肝病模型(MELD)评分系统提高了衡量移植医疗紧迫性的能力,但因终末期肝病并发症或死亡而被从等候名单中除名的概率以及原位肝移植(OLT)的概率在地理上仍存在差异。本研究的目的是确定器官共享联合网络(UNOS)一个区域内供体服务区(DSA)之间与这些差异相关的因素。从UNOS获取了2002年2月至2005年11月期间在UNOS第4区域的4个DSA内登记等待OLT的2948名候选人的数据。使用多变量回归模型来确定与除名(由于病情恶化或死亡)和OLT可能性相关的研究因素。在对候选人特征进行风险调整后,在DSA - 3和DSA - 4登记的候选人被除名的风险显著高于在DSA - 2登记的候选人(风险比,DSA - 2为0.87,DSA - 3和DSA - 4分别为1.22和1.10;P分别为0.01和0.05)。此外,在DSA - 1登记的候选人接受OLT的可能性显著高于在DSA - 2、DSA - 3或DSA - 4登记的候选人(风险比,与0.45、0.77和0.51相比为1.00;所有两两比较的P < 0.001)。尽管实施了MELD系统,但在除名可能性和OLT方面仍存在巨大的地理差异,这表明需要进一步完善区域分配策略。