Department of Applied Epidemiology, National Centre for Epidemiology, and Consortium for Biomedical Research in Neurodegenerative Diseases (Centro de Investigación Biomédica en Red sobre Enfermedades Neurodegenerativas - CIBERNED), Carlos III Institute of Health, C/ Sinesio Delgado 6, 28029 Madrid, Spain.
BMC Public Health. 2009 Dec 2;9:445. doi: 10.1186/1471-2458-9-445.
Aetiologically, genetic and environmental factors having an uneven spatial distribution may underlie Parkinson's disease (PD). Undiagnosis of PD in selected regions might have limited access to treatment with levodopa and simultaneously, if present at death, determined PD underreporting at the death record. The purpose of this study was to describe and analyse municipal mortality due to PD in Spain in aetiological and interventional perspective.
PD mortality at a municipal level was modelled using the Besag-York- Molliè autoregressive spatial model, combining demographic information with cause-of-death diagnostic data (International Classification of Diseases 9th Revision (ICD-9) code 332.0). Municipal relative risks (RRs) were independently estimated for women, men and both sexes, and plotted on maps depicting smoothed RR estimates and the distribution of the posterior probability of RR>1.
A south-north gradient, with large geographical areas suggesting clustered towns with high mortality, was seen in Asturias, the Basque Country, Balearic Islands and, particularly, in the Lower Ebro valley around Tarragona. Similarly, there was a suggestion that lowest mortality was clustered in the south-east and south-west. We identified some isolated or clustered municipalities with high mortality that were situated near industrial plants reported to be associated with environmental xenobiotic emissions. However, the same pattern was also observed for some cities with low mortality.
Municipal PD mortality in Spain was unevenly distributed. Patterns were roughly similar to reported provincial PD mortality and use of levodopa. While the overall pattern appears to result from spatially selective PD undiagnosis, and can not be ascribed to industrial emissions, it can not be excluded that selected "hot spots" reflect genetic factors and/or environmental exposures inducing parkinsonism. A few municipal populations, located in low-mortality-risk areas in the vicinity of polluting plants or registering high excess PD mortality, might constitute a priority for conducting direct etiological studies. Additionally, interventions aimed to reduce potential PD undiagnosis might be most appropriate in the South.
遗传和环境因素的空间分布不均可能是帕金森病(PD)的病因。在某些地区,PD 的诊断不足可能会限制左旋多巴的治疗,同时,如果在死亡时存在,也会导致死亡记录中 PD 的报告不足。本研究的目的是从病因学和干预的角度描述和分析西班牙市级 PD 死亡率。
使用 Besag-York-Molliè 自回归空间模型对市级 PD 死亡率进行建模,将人口统计信息与死因诊断数据(国际疾病分类第 9 版(ICD-9)代码 332.0)相结合。分别对女性、男性和两性独立估计市级相对风险(RR),并绘制地图,描绘平滑 RR 估计值和 RR>1 的后验概率分布。
在阿斯图里亚斯、巴斯克地区、巴利阿里群岛,特别是在塔拉戈纳附近的下埃布罗河谷,我们观察到一个从南到北的梯度,有很大的地理区域提示死亡率较高的城镇呈聚集状态。同样,也有迹象表明最低死亡率呈聚集在东南部和西南部。我们发现一些孤立或聚集的高死亡率市镇,它们位于据报道与环境外来生物排放有关的工业工厂附近。然而,同样的模式也出现在一些低死亡率的城市。
西班牙市级 PD 死亡率分布不均。模式大致与报告的省级 PD 死亡率和左旋多巴的使用相似。虽然整体模式似乎是由于空间选择性 PD 诊断不足所致,不能归因于工业排放,但不能排除某些“热点”反映了导致帕金森病的遗传因素和/或环境暴露。少数位于污染工厂附近且死亡率低的地区或登记 PD 死亡率过高的市镇人口,可能构成开展直接病因学研究的优先事项。此外,旨在减少潜在 PD 诊断不足的干预措施在南部可能最合适。