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

Trends in US Kidney Transplantation During the COVID-19 Pandemic.
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DOI:
10.7759/cureus.12075
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发表时间:
2020-12-14
期刊:
Cureus
影响因子:
--
通讯作者:
Ebaid S
Ebaid S
中科院分区:
其他
文献类型:
--
作者:
Bordes SJ;Montorfano L;West-Ortiz W;Valera R;Cracco A;Alonso M;Pinna AD;Ebaid S

文献摘要

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实体器官移植在美国COVID-19大流行期间受到重大影响。关于活体供肾移植变化的数据有限。这项研究的目的是描述COVID-19期间肾移植的国家趋势。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。创建了国家等待名单失活,等待名单添加,已故供体移植和活体供体移植的图。使用自回归综合移动平均(ARIMA)模型,并对一阶自相关进行调整的中断时间序列分析,以评估2020年3月15日至8月1日COVID-19期间每四周的结果趋势的显著变化。确定分析的统计学显著性为0.05(P <0.05)。𝛼记录了COVID-19爆发期间肾移植量的变化。密度绘图和线性回归与间断时间序列分析被用来描述全国范围内随时间的变化。由于COVID-19,近几个月肾脏移植受到严重影响。除了手术建议外,本文还描述了死亡供体和活体供体肾移植的趋势。
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.