Suppr超能文献

评估活体供肾移植率:你是否发挥了自身潜力?

Evaluating living donor kidney transplant rates: Are you reaching your potential?

作者信息

Matar Abraham J, Files John, Burkholder Ryan, Chin Thomas, Angelis Michael

机构信息

Department of Surgery, Emory University, Atlanta, GA, USA.

Florida Hospital Transplant Institute, Orlando, FL, USA.

出版信息

Clin Transplant. 2017 Apr;31(4). doi: 10.1111/ctr.12914. Epub 2017 Mar 1.

Abstract

BACKGROUND

Traditionally, living donor kidney transplant (LDKT) rate has been calculated as a percentage of total kidney transplant volume. We believe this calculation to be inherently flawed because the number of deceased donor kidney transplants has no bearing on the number of LDKT performed. We propose an alternative calculation of LDKT rate as a percentage of the number of new waitlist registrants.

METHODS

We evaluated 192 adult transplant centers in the United States with respect to their LDKT rate according to both the traditional and proposed calculations, using data from the scientific registry of transplant recipients between July 2014 and June 2015.

RESULTS

The median LDKT rate for every 100 new waitlist registrants was 12.3, compared to 27.9 for every 100 total kidney transplants. Based on our proposed calculation of LDKT rate, 16.7% of transplant centers were misevaluated when compared to the national mean using the traditional method.

CONCLUSIONS

A new calculation of LDKT rate based on new waitlist registrants, and not total kidney transplants, is necessary to eliminate the bias associated with the traditional method, allowing for the identification of centers for improvement as well as each individual center's true potential based on their patient demographics.

摘要

背景

传统上,活体供肾移植(LDKT)率是按照其在总肾移植量中所占的百分比来计算的。我们认为这种计算方法存在固有缺陷,因为 deceased donor kidney transplants 的数量与所进行的 LDKT 的数量并无关联。我们提议将 LDKT 率计算为新加入等候名单者数量的百分比。

方法

我们利用 2014 年 7 月至 2015 年 6 月期间移植受者科学登记处的数据,根据传统计算方法和提议的计算方法,对美国 192 个成人移植中心的 LDKT 率进行了评估。

结果

每 100 名新加入等候名单者的 LDKT 率中位数为 12.3,而每 100 例总肾移植的 LDKT 率为 27.9。根据我们提议的 LDKT 率计算方法,与使用传统方法得出的全国平均水平相比,16.7%的移植中心被错误评估。

结论

有必要基于新加入等候名单者而非总肾移植量来重新计算 LDKT 率,以消除与传统方法相关的偏差,从而能够根据患者人口统计学特征确定有待改进的中心以及每个中心的真正潜力。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验