Division of Gastroenterology and Hepatology University of Virginia Health System, Charlottesville, VA, USA.
Am J Transplant. 2011 Nov;11(11):2353-61. doi: 10.1111/j.1600-6143.2011.03738.x.
MELD (model for end-stage liver disease) exception awards affect the liver allocation process. Award rates of specific nonhepatocellular carcinoma exceptions, termed symptom-based exceptions (SBE), differ across UNOS regions. We aimed to characterize the regional variability in SBE awards and examine predictive factors for receiving a SBE in the MELD era. The OPTN liver transplant and waiting list dataset was analyzed for waiting list registrants during the MELD allocation on February 27, 2002, until November 22, 2006. Competing risks proportional hazards regression analysis was used to examine predictors for receiving a SBE in 39 169 registrants. The hazard ratios for receiving a SBE differed significantly across regions when adjusted for multiple variables including age, gender, ethnicity, physiologic MELD score, blood group, functional status, etiology of liver disease, insurer and education level. Utilization of SBE is highly significantly variable across UNOS regions, and does not correlate with organ availability as estimated by the regional mean physiologic MELD score at transplantation. Patients with Medicaid as their primary payer have a lower likelihood of receiving a SBE award, while patients with cryptogenic/NASH cirrhosis or cholestatic liver disease have a higher likelihood of receiving a SBE. Reasons for these regional and demographic disparities deserve further investigation.
MELD(终末期肝病模型)例外授予会影响肝脏分配过程。特定非肝细胞癌例外(称为基于症状的例外,SBE)的授予率在 UNOS 区域之间存在差异。我们旨在描述 SBE 授予的区域差异,并在 MELD 时代检查获得 SBE 的预测因素。分析了 OPTN 肝移植和等候名单数据集,该数据集包括 2002 年 2 月 27 日 MELD 分配期间至 2006 年 11 月 22 日等候名单登记人员。使用竞争风险比例风险回归分析来检查 39169 名登记人员获得 SBE 的预测因素。在调整了多个变量(包括年龄、性别、种族、生理 MELD 评分、血型、功能状态、肝病病因、保险和教育水平)后,获得 SBE 的风险比在不同区域之间存在显著差异。SBE 的利用在 UNOS 区域之间存在显著差异,与根据移植时区域平均生理 MELD 评分估计的器官可用性无关。以医疗补助为主要支付者的患者获得 SBE 授予的可能性较低,而患有隐源性/NASH 肝硬化或胆汁淤积性肝病的患者获得 SBE 的可能性较高。这些区域和人口差异的原因值得进一步调查。