EHESP Rennes, Sorbonne Paris Cité , Rennes , France.
EHESP Rennes, Sorbonne Paris Cité , Rennes , France ; Inserm UMR 1085-IRSET , Rennes , France.
Clin Kidney J. 2015 Feb;8(1):7-13. doi: 10.1093/ckj/sfu131. Epub 2014 Dec 3.
Several studies have investigated the implication of biological and environmental factors on geographic variations of end-stage renal disease (ESRD) incidence at large area scales, but none of them assessed the implication of neighbourhood characteristics (healthcare supply, socio-economic level and urbanization degree) on spatial repartition of ESRD. We evaluated the spatial implications of adjustment for neighbourhood characteristics on the spatial distribution of ESRD incidence at the smallest geographic unit in France.
All adult patients living in Bretagne and beginning renal replacement therapy during the 2004-09 period were included. Their residential address was geocoded at the census block level. Each census block was characterized by socio-economic deprivation index, healthcare supply and rural/urban typology. Using a spatial scan statistic, we examined whether there were significant clusters of high risk of ESRD incidence.
The ESRD incidence was non-randomly spatially distributed, with a cluster of high risk in the western Bretagne region (relative risk, RR = 1.28, P-value = 0.0003). Adjustment for sex, age and neighbourhood characteristics induced cluster shifts. After these adjustments, a significant cluster (P = 0.013) persisted.
Our spatial analysis of ESRD incidence at a fine scale, across a mixed rural/urban area, indicated that, beyond age and sex, neighbourhood characteristics explained a great part of spatial distribution of ESRD incidence. However, to better understand spatial variation of ESRD incidence, it would be necessary to research and adjust for other determinants of ESRD.
多项研究已经调查了生物和环境因素对大面积范围内终末期肾病(ESRD)发病率的地理变化的影响,但都没有评估邻里特征(医疗保健供应、社会经济水平和城市化程度)对 ESRD 空间分布的影响。我们评估了调整邻里特征对法国最小地理单位 ESRD 发病率空间分布的空间影响。
纳入了 2004-09 年期间居住在布列塔尼并开始接受肾脏替代治疗的所有成年患者。他们的居住地址被地理编码到普查块级别。每个普查块都具有社会经济剥夺指数、医疗保健供应和农村/城市类型学的特征。我们使用空间扫描统计,检查是否存在 ESRD 发病率高风险的显著集群。
ESRD 的发病率呈非随机的空间分布,在布列塔尼西部地区存在一个高风险的集群(相对风险,RR = 1.28,P 值= 0.0003)。调整性别、年龄和邻里特征后,集群发生了转移。经过这些调整后,仍存在一个显著的集群(P = 0.013)。
我们在混合农村/城市地区对 ESRD 发病率进行的精细尺度空间分析表明,除了年龄和性别之外,邻里特征解释了 ESRD 发病率的大部分空间分布。然而,为了更好地理解 ESRD 发病率的空间变化,需要研究和调整 ESRD 的其他决定因素。