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新冠疫情期间美国肾脏移植的趋势

Trends in US Kidney Transplantation During the COVID-19 Pandemic.

作者信息

Bordes Stephen J, Montorfano Lisandro, West-Ortiz Wesley, Valera Roberto, Cracco Alejandro, Alonso Mileydis, Pinna Antonio D, Ebaid Samer

机构信息

Department of Anatomical Sciences, St. George's University School of Medicine, St. George's, GRD.

Transplant, Cleveland Clinic Florida, Weston, USA.

出版信息

Cureus. 2020 Dec 14;12(12):e12075. doi: 10.7759/cureus.12075.

DOI:10.7759/cureus.12075
PMID:33489493
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7805520/
Abstract

Solid organ transplants have been impacted significantly during the COVID-19 pandemic in the United States. Limited data exist regarding changes in living donor kidney transplants. The aim of this study was to describe national trends in kidney transplantation during COVID-19. This descriptive cross-sectional study used publicly available data from the United Network for Organ Sharing (UNOS) and the National Kidney Registry (NKR). Plots of national waitlist inactivations, waitlist additions, deceased donor transplants and living donor transplants were created. An Auto Regressive Integrated Moving Average (ARIMA) model with interrupted time series analysis adjusting for first-order autocorrelation was used to evaluate for significant changes in outcome trends every four-week period during the COVID-19 era between March 15 and August 1, 2020. A statistical significance of 0.05 (𝛼) was established for analysis. Changes in kidney transplant volumes during the COVID-19 outbreak were registered. Density mapping and linear regression with interrupted time series analysis were used to characterize changes over time nationwide. Kidney transplants were affected significantly in recent months due to COVID-19. Deceased donor and living donor kidney transplant trends are described in this paper in addition to operative recommendations.

摘要

在美国，新冠疫情期间实体器官移植受到了重大影响。关于活体供肾移植变化的数据有限。本研究的目的是描述新冠疫情期间肾脏移植的全国趋势。这项描述性横断面研究使用了来自器官共享联合网络（UNOS）和国家肾脏登记处（NKR）的公开数据。绘制了全国等待名单停用、等待名单新增、 deceased donor移植和活体供体移植的图表。使用具有一阶自相关调整的自回归积分移动平均（ARIMA）模型和中断时间序列分析，来评估2020年3月15日至8月1日新冠疫情期间每四周结果趋势的显著变化。分析设定的统计学显著性为0.05（α）。记录了新冠疫情爆发期间肾脏移植量的变化。使用密度映射和中断时间序列分析的线性回归来描述全国范围内随时间的变化。近几个月来，新冠疫情对肾脏移植产生了重大影响。除了手术建议外，本文还描述了 deceased donor和活体供肾移植的趋势。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1772/7805520/d1e31f05e2d0/cureus-0012-00000012075-i06.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1772/7805520/1d82ebdde8df/cureus-0012-00000012075-i01.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1772/7805520/b75f43832d8c/cureus-0012-00000012075-i02.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1772/7805520/a93d81008873/cureus-0012-00000012075-i03.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1772/7805520/97ecdb77de17/cureus-0012-00000012075-i04.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1772/7805520/b60fe420a7d9/cureus-0012-00000012075-i05.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1772/7805520/d1e31f05e2d0/cureus-0012-00000012075-i06.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1772/7805520/1d82ebdde8df/cureus-0012-00000012075-i01.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1772/7805520/b75f43832d8c/cureus-0012-00000012075-i02.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1772/7805520/a93d81008873/cureus-0012-00000012075-i03.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1772/7805520/97ecdb77de17/cureus-0012-00000012075-i04.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1772/7805520/b60fe420a7d9/cureus-0012-00000012075-i05.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1772/7805520/d1e31f05e2d0/cureus-0012-00000012075-i06.jpg

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