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地理不平等导致死亡率差异:肝移植数据的多变量意向性分析

Geographic inequity results in disparate mortality: a multivariate intent-to-treat analysis of liver transplant data.

作者信息

Rana Abbas, Riaz Irbaz Bin, Gruessner Angelika C, Gruessner Rainer W

机构信息

Division of Abdominal Transplantation, Michael E. DeBakey Department of Surgery, Baylor College of Medicine, Houston, TX, USA.

Department of Medicine, University of Arizona, Tucson, AZ, USA.

出版信息

Clin Transplant. 2015 Jun;29(6):484-91. doi: 10.1111/ctr.12499. Epub 2015 Jan 22.

Abstract

CONTEXT

The distribution of livers to listed transplant candidates shows substantial geographic inequity.

OBJECTIVE

To compare mortality between the 11 UNOS (United Network of Organ Sharing) regions from the time of listing and to show that the geographic region impacts survival.

DESIGN, SETTING, AND PATIENTS: We studied the data of 1930 adults listed with a Model for End-Stage Liver Disease (MELD) score of 18 for a liver transplant from March 1, 2002 through December 31, 2007. We calculated one- and three-yr survival rates and performed multivariate Cox regression analysis to determine significant risk factors for mortality.

MAIN OUTCOME MEASURES

Patient survival from the time of listing for transplantation.

RESULTS

Actual one-yr mortality rate from the time of listing ranged from 30.5% (Region 2) to 12.9% (Region 4). The three-yr mortality rate ranged from 42.0% (Region 2) to 21.6% (Region 4). Multivariate analysis showed a significant increase in mortality in Region 2 (odds ratio [OR], 1.49; 95% confidence interval [CI], 1.21 to 1.83) and a significant decrease in mortality in Region 3 (OR, 0.74; 95% CI, 0.59 to 0.93).

CONCLUSIONS

We found significant differences in one- and three-yr mortality rates among UNOS regions. Regional disparities significantly affect patient survival and result in national inequality.

摘要

背景

肝脏分配给已登记的移植候选者存在显著的地理不平等。

目的

比较器官共享联合网络(UNOS)11个地区从登记时起的死亡率,并表明地理区域会影响生存率。

设计、地点和患者:我们研究了2002年3月1日至2007年12月31日期间1930名登记接受肝移植且终末期肝病模型(MELD)评分为18的成年患者的数据。我们计算了1年和3年生存率,并进行多变量Cox回归分析以确定死亡的显著风险因素。

主要观察指标

从登记移植时起的患者生存率。

结果

从登记时起的实际1年死亡率在30.5%(第2区)至12.9%(第4区)之间。3年死亡率在42.0%(第2区)至21.6%(第4区)之间。多变量分析显示,第2区死亡率显著增加(比值比[OR],1.49;95%置信区间[CI],1.21至1.83),第3区死亡率显著降低(OR,0.74;95%CI,0.59至0.93)。

结论

我们发现UNOS各地区在1年和3年死亡率上存在显著差异。地区差异显著影响患者生存率并导致全国性不平等。

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