Department of Medicine, Division of Gastroenterology, University of Pennsylvania, Philadelphia, PA, USA.
Am J Transplant. 2012 Jun;12(6):1603-9. doi: 10.1111/j.1600-6143.2011.03969.x. Epub 2012 Feb 15.
For conditions that the Model for End-Stage Liver Disease (MELD) score does not accurately predict waitlist mortality, transplant centers may apply to regional review boards for exception points. For patients with primary sclerosing cholangitis (PSC) suffering from bacterial cholangitis, consensus recommendations published in December 2006 are to grant exception points for recurrent cholangitis with ≥ 2 episodes of bacteremia or ≥ 1 episode septic complications. Using data provided by the United Network for Organ Sharing, we evaluated PSC patients who applied for exception points due to bacterial cholangitis from February 27, 2002 to March 14, 2011. Before publication of the recommendations, 66.0% of applications were accepted, compared with 80.1% after (p < 0.001). Focusing on applications after publication of the recommendations, 311 (74.6%) did not meet the recommended criteria, and 250 (80.4%) of these were approved. Of patients with approved applications, those not meeting consensus criteria were more likely to be transplanted, (77.4% vs. 62.8%, p = 0.043), whereas those with denied applications for approved indications were more liked to die/be removed (44.4% vs. 9.5%, p = 0.49). Although data are needed to properly identify those patients at highest risk for waitlist mortality, standardized criteria or a centralized review board should be adopted to ensure consistency in the granting of exception points.
对于模型终末期肝病评分(MELD)不能准确预测等待名单死亡率的情况,移植中心可以向区域审查委员会申请例外积分。对于原发性硬化性胆管炎(PSC)合并细菌性胆管炎的患者,2006 年 12 月发表的共识建议是,对于复发性胆管炎伴有≥2 次菌血症或≥1 次感染性并发症的患者,给予例外积分。利用美国器官共享网络提供的数据,我们评估了由于细菌性胆管炎而在 2002 年 2 月 27 日至 2011 年 3 月 14 日期间申请例外积分的 PSC 患者。在建议发布之前,66.0%的申请被接受,而之后的接受率为 80.1%(p<0.001)。关注建议发布后的申请,有 311 项(74.6%)不符合推荐标准,其中 250 项(80.4%)被批准。在获得批准的申请中,不符合共识标准的患者更有可能接受移植治疗(77.4%比 62.8%,p=0.043),而那些符合批准适应证但申请被拒的患者更有可能死亡/被除名(44.4%比 9.5%,p=0.49)。虽然需要数据来正确识别等待名单死亡率最高的患者,但应采用标准化标准或集中审查委员会,以确保例外积分的授予保持一致。