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评估55岁以上候选者接受移植而非透析的获益情况。

Estimating the Benefit of Transplant Over Dialysis in Candidates Over 55 Years.

作者信息

Stedman Margaret R, Ahearn Patrick C, Liu Christine K, Chertow Glenn M, Tan Jane C

机构信息

Division of Nephrology, Department of Medicine, Stanford University School of Medicine, Stanford, California.

Division of Primary Care and Population Health, Department of Medicine, Stanford University School of Medicine, Stanford, California.

出版信息

Kidney360. 2025 Jan 22;6(7):1198-1206. doi: 10.34067/KID.0000000710.

DOI:10.34067/KID.0000000710
PMID:39841979
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12338356/
Abstract

KEY POINTS

Older kidney transplant candidates experience a gain in life years from transplantation. More updated models using a contemporary cohort are needed to guide current clinical practice for older adults. The magnitude of gain in life years from transplant has diminished in recent years, likely driven by candidate characteristics and policy changes.

BACKGROUND

Life Years from Transplant (LYFT) is a measure of the predicted difference between the expected lifespan with and without a kidney transplant. The metric was originally proposed in 1999; since then, demographics of the kidney transplant candidate population have materially changed.

METHODS

Using contemporary Scientific Registry of Transplant Recipients data, we propose more sophisticated methods for estimating LYFT with a focus on older kidney transplant candidates, a growing sector of the current candidate pool. We examine trends in predicted LYFT from 1995 to 2020.

RESULTS

We show that among older patients on the deceased donor waitlist, transplant remains a better option compared with dialysis (overall LYFT=5 years). LYFT trends have diminished modestly (by <1 life year) over time, in part related to efforts to enhance access to transplantation through intercurrent policy changes.

CONCLUSIONS

Updated LYFT estimates remain informative clinical measures that can support patient-centered decision-making. However, less homogenous metrics with meaningful disaggregation are needed to inform institutional evaluation and policy change. Models should be repeatedly evaluated as demographics of the candidate pool evolve.

摘要

关键点

年龄较大的肾移植候选者通过移植可延长生命年限。需要使用当代队列的更更新模型来指导当前针对老年人的临床实践。近年来,移植带来的生命年限延长幅度有所减小,这可能是由候选者特征和政策变化所致。

背景

移植生命年限(LYFT)是衡量肾移植与未进行肾移植预期寿命之间预测差异的指标。该指标最初于1999年提出;自那时以来,肾移植候选者群体的人口统计学特征已发生重大变化。

方法

利用当代移植受者科学登记处的数据,我们提出了更复杂的方法来估计LYFT,重点关注年龄较大的肾移植候选者,这是当前候选者群体中不断增长的一部分。我们研究了1995年至2020年预测LYFT的趋势。

结果

我们表明,在已故供体等待名单上的老年患者中,与透析相比,移植仍然是更好的选择(总体LYFT = 5年)。随着时间的推移,LYFT趋势略有下降(不到1个生命年),部分原因是通过临时政策变化努力增加移植机会。

结论

更新后的LYFT估计仍然是有助于以患者为中心的决策的信息性临床指标。然而,需要更具同质性且能进行有意义分类的指标来为机构评估和政策变化提供信息。随着候选者群体人口统计学特征的演变,模型应反复进行评估。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ddb3/12338356/5c297a8843ca/kidney360-6-1198-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ddb3/12338356/fdc99281dc06/kidney360-6-1198-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ddb3/12338356/68f6bfe830a2/kidney360-6-1198-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ddb3/12338356/b3c1b8846135/kidney360-6-1198-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ddb3/12338356/5c297a8843ca/kidney360-6-1198-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ddb3/12338356/fdc99281dc06/kidney360-6-1198-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ddb3/12338356/68f6bfe830a2/kidney360-6-1198-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ddb3/12338356/b3c1b8846135/kidney360-6-1198-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ddb3/12338356/5c297a8843ca/kidney360-6-1198-g004.jpg

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本文引用的文献

1
Evolving Trends in Kidney Transplant Outcomes Among Older Adults: A Comparative Analysis Before and During the COVID-19 Pandemic.老年人肾移植结局的演变趋势:COVID-19大流行之前和期间的比较分析
Transplant Direct. 2023 Nov 2;9(12):e1520. doi: 10.1097/TXD.0000000000001520. eCollection 2023 Dec.
2
OPTN/SRTR 2021 Annual Data Report: Kidney.OPTN/SRTR 2021 年度数据报告:肾脏。
Am J Transplant. 2023 Feb;23(2 Suppl 1):S21-S120. doi: 10.1016/j.ajt.2023.02.004.
3
Does anybody really know what (the kidney median waiting) time is?
有人真的知道(肾脏中位等待)时间是多少吗?
Am J Transplant. 2023 Feb;23(2):223-231. doi: 10.1016/j.ajt.2022.12.005. Epub 2023 Jan 12.
4
Survival Benefit of First Single-Organ Deceased Donor Kidney Transplantation Compared With Long-term Dialysis Across Ages in Transplant-Eligible Patients With Kidney Failure.在适合移植的肾衰竭患者中,与长期透析相比,首次单器官已故供体肾移植在各年龄段的生存获益。
JAMA Netw Open. 2022 Oct 3;5(10):e2234971. doi: 10.1001/jamanetworkopen.2022.34971.
5
Mapping health-related quality of life after kidney transplantation by group comparisons: a systematic review.通过组间比较绘制肾移植后的健康相关生活质量图:系统评价。
Nephrol Dial Transplant. 2021 Dec 2;36(12):2327-2339. doi: 10.1093/ndt/gfab232.
6
The Advancing American Kidney Health (AAKH) Executive Order: Promise and Caveats for Expanding Access to Kidney Transplantation.《推进美国肾脏健康(AAKH)行政命令:扩大肾脏移植可及性的前景与警示》
Kidney360. 2020 Jun;1(6):557-560. doi: 10.34067/KID.0001172020.
7
Trends in the Medical Complexity and Outcomes of Medicare-insured Patients Undergoing Kidney Transplant in the Years 1998-2014.1998-2014 年医疗保险覆盖的肾移植患者的医疗复杂性和结局趋势。
Transplantation. 2019 Nov;103(11):2413-2422. doi: 10.1097/TP.0000000000002670.
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Salmon Bias or Red Herring? : Comparing Adult Mortality Risks (Ages 30-90) between Natives and Internal Migrants: Stayers, Returnees and Movers in Rotterdam, the Netherlands, 1850-1940.鲑鱼偏差还是转移注意力的话题?:比较1850年至1940年荷兰鹿特丹本地人与国内移民(定居者、返乡者和流动者)之间的成人死亡风险(30 - 90岁)
Hum Nat. 2017 Dec;28(4):481-499. doi: 10.1007/s12110-017-9303-1.
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The Effect of Augmenting OPTN Data With External Death Data on Calculating Patient Survival Rates After Organ Transplantation.用外部死亡数据扩充器官共享联合网络(OPTN)数据对计算器官移植后患者生存率的影响。
Transplantation. 2017 Apr;101(4):836-843. doi: 10.1097/TP.0000000000001448.
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New national allocation policy for deceased donor kidneys in the United States and possible effect on patient outcomes.美国已故捐赠者肾脏的新国家分配政策及其对患者治疗结果的可能影响。
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