Prevalence of multiple sclerosis in the Lazio region, Italy: use of an algorithm based on health information systems
Prevalence of multiple sclerosis in the Lazio region, Italy: use of an algorithm based on health information systems
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DOI：
10.1007/s00415-016-8049-8
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发表时间：
2016-04-01
影响因子：
6
通讯作者：
Davoli, Marina
中科院分区：
文献类型：
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作者：
Bargagli, Anna Maria;Colais, Paola;Davoli, Marina
与该国其他地区相比，意大利中部多发性硬化症（MS）患病率的数据非常有限。我们的目的是估计MS患病率在拉齐奥地区及其地理分布使用区域卫生信息系统（HIS）。为了识别MS病例，我们使用了药物处方、出院和机票豁免登记处的数据。计算了2011年12月31日的粗、年龄和性别特异性患病率估计值。为了比较该地区不同地区之间的MS患病率，我们使用多变量泊松回归模型计算了年龄和性别调整的患病率和患病率比。粗患病率为130.5/100，000（95%CI 127.5-133.5）：男性为89.7/100，000，女性为167.9/100，000。根据欧洲标准人群标准化的总体患病率为119.6/100，000（95%CI 116.8-122.4）。我们观察到该地区内MS患病率存在显著差异，估计值范围从Latina的96.3（95%CI 86.4-107.3）到Rieti的169.6（95%CI 147.6-194.9）。与该区域东部山区相比，大多数靠近海岸的地区显示出较低的流行率估计数。总之，本研究使用基于人群的卫生管理数据库在区域水平上估计了MS患病率。我们的研究结果表明，拉齐奥地区是MS的高风险地区，尽管地理分布不均匀。虽然必须考虑一些限制，包括可能的患病率低估，HIS代表了一个有价值的信息来源，以衡量SM的负担，有用的流行病学监测和医疗保健计划。
Compared with other areas of the country, very limited data are available on multiple sclerosis (MS) prevalence in Central Italy. We aimed to estimate MS prevalence in the Lazio region and its geographical distribution using regional health information systems (HIS). To identify MS cases we used data from drug prescription, hospital discharge and ticket exemption registries. Crude, age- and gender-specific prevalence estimates on December 31, 2011 were calculated. To compare MS prevalence between different areas within the region, we calculated age- and gender-adjusted prevalence and prevalence ratios using a multivariate Poisson regression model. Crude prevalence rate was 130.5/100,000 (95 % CI 127.5-133.5): 89.7/100,000 for males and 167.9/100,000 for females. The overall prevalence rate standardized to the European Standard Population was 119.6/100,000 (95 % CI 116.8-122.4). We observed significant differences in MS prevalence within the region, with estimates ranging from 96.3 (95 % CI 86.4-107.3) for Latina to 169.6 (95 % CI 147.6-194.9) for Rieti. Most districts close to the coast showed lower prevalence estimates compared to those situated in the eastern mountainous area of the region. In conclusion, this study produced a MS prevalence estimate at regional level using population-based health administrative databases. Our results showed the Lazio region is a high-risk area for MS, although with an uneven geographical distribution. While some limitations must be considered including possible prevalence underestimation, HIS represent a valuable source of information to measure the burden of SM, useful for epidemiological surveillance and healthcare planning.