目的:估计意大利三个地区的肌萎缩侧索硬化症(ALS)发病率和患病率(拉齐奥,托斯卡纳,和翁布里亚),使用健康管理数据库。
方法:基于人群的回顾性研究。
方法:居住在拉齐奥的ALS患者,翁布里亚,和托斯卡纳通过基于三个不同的管理数据库的算法进行识别:出院记录,医疗保健共同支付豁免,和急诊科(2014-2019年研究期间)。原油,2019年12月31日计算了按年龄和性别划分的患病率,并按地区标准化了ALS的发病率,Year,和性别在2014-2019年之间。使用拉齐奥地区的临床数据集,计算了通过算法正确识别为ALS病例的居住在该地区的个体比例.
方法:患病率和发病率。
结果:共确定了1,031例ALS患者(>=18岁):托斯卡纳408例,546在拉齐奥,77在翁布里亚。ALS标准化患病率(每100,000人)在各地区相似:托斯卡纳12.31,拉齐奥11.52,翁布里亚的9.90。男性的5年期原油利率更高,以及65-79岁的人。在临床数据集中的310名患者中,基于健康管理数据库的算法正确识别了263例(84.8%)。
结论:意大利中部三个地区的ALS患病率和发病率相当相似,但略高于先前报道的水平。这个发现是有道理的,考虑到以前的结果至少与十年前有关,并且有证据表明呈上升趋势。总的来说,本文的结果鼓励使用行政数据来产生发生估计,对流行病学监测、研究和医疗保健政策都有用。
to estimate Amyotrophic Lateral Sclerosis (ALS) incidence and prevalence in three Italian Regions (Lazio, Tuscany, and Umbria), using health administrative databases.
retrospective population-based study.
ALS patients residing in Lazio, Umbria, and Tuscany were identified through an algorithm based on three different administrative databases: hospital discharge records, exemptions from health care co-payment, and emergency departments (study period 2014-2019). Crude, age- and gender-specific prevalence were calculated on 31.12.2019 and incidence rates of ALS were standardised by region, year, and gender between 2014-2019. Using a clinical dataset available in the Lazio Region, the proportion of individuals residing in the region correctly identified as ALS cases by the algorithm were calculated.
prevalence and incidence rates.
a total of 1,031 ALS patients (>=18 years) were identified: 408 cases in Tuscany, 546 in Lazio, and 77 in Umbria. ALS standardised prevalence (per 100,000) was similar among regions: 12.31 in Tuscany, 11.52 in Lazio, and 9.90 in Umbria. The 5-year crude rates were higher in men, and in people aged 65-79 years. Among 310 patients included in the clinical dataset, 263 (84.8%) were correctly identified by the algorithm based on health administrative databases.
ALS prevalence and incidence in three Central Italy Regions are rather similar, but slightly higher than those previously reported. This finding is plausible, given that previous results relate to at least ten years ago and evidenced increasing trends. Overall, the results of this paper encourage the use of administrative data to produce occurrence estimates, useful to both epidemiological surveillance and research and healthcare policies.