Department of Nephrology, Te Whatu Ora Waitaha Canterbury, Christchurch, New Zealand.
School of Public Health, University of Sydney, Sydney, New South Wales, Australia.
Nephrology (Carlton). 2024 Dec;29(12):941-954. doi: 10.1111/nep.14409. Epub 2024 Oct 28.
This study aimed to describe the epidemiology of kidney replacement therapy (KRT) in Aotearoa New Zealand and assess the impact of residential location on access to kidney transplantation.
AcceSS and Equity in Transplantation (ASSET), a health-linked data platform, was used to identify people commencing KRT in New Zealand from 2006 to 2019 and analyse regional epidemiology. Health services were classified as 'transplanting', 'intermediate' or 'remote' depending on their degree of separation from a transplant centre. Multiple logistic regression modelling was used to assess the predictors of deceased donor waitlisting or living donor transplantation within 6 months after starting KRT. Web-based mapping software was used to develop interactive geospatial maps.
The cohort was 7704 people newly starting KRT. Living in an intermediate [odds ratio (OR): 0.73 (95% confidence interval (CI): 0.61-0.88)] or remote [OR: 0.38 (95% CI: 0.27-0.54)) region and Māori (OR: 0.35 (95% CI: 0.28-0.44)], Pacific [OR: 0.32 (95% CI: 0.24-0.42)) and Asian (OR: 0.66 (95% CI: 0.50-0.87)] ethnicity were associated with a decreased likelihood of timely waitlisting or transplantation. Regional maps can be explored here.
There is marked geospatial and ethnic variation in the epidemiology of kidney failure and access to kidney transplantation across New Zealand. Geospatial mapping of kidney failure epidemiology and transplantation outcomes can provide opportunities to direct resources towards populations at greatest need.
本研究旨在描述新西兰肾替代治疗(KRT)的流行病学,并评估居住地点对肾移植机会的影响。
利用健康相关数据平台 AcceSS 和移植公平性(ASSET),识别 2006 年至 2019 年期间在新西兰开始接受 KRT 的患者,并分析区域流行病学。根据与移植中心的距离,将医疗服务分为“移植”、“中间”或“远程”。采用多因素逻辑回归模型评估开始 KRT 后 6 个月内等待死亡供体移植或活体供体移植的预测因素。使用基于网络的地图软件制作交互式地理空间地图。
该队列包括 7704 名新开始接受 KRT 的患者。居住在中间[比值比(OR):0.73(95%置信区间(CI):0.61-0.88)]或偏远地区[OR:0.38(95% CI:0.27-0.54)],毛利人(OR:0.35(95% CI:0.28-0.44)]、太平洋岛民[OR:0.32(95% CI:0.24-0.42)]和亚洲人[OR:0.66(95% CI:0.50-0.87)]与及时等待名单或移植的可能性降低相关。可以在此处探索区域地图。
新西兰各地肾衰的流行病学和肾移植机会存在明显的地理空间和种族差异。对肾衰流行病学和移植结果进行地理空间映射可以为有需要的人群提供资源导向的机会。