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意大利国家罕见病登记处:与医院出院数据进行比较和整合的典范。

The Italian National Rare Diseases Registry: a model of comparison and integration with Hospital Discharge Data.

机构信息

National Centre for Rare Diseases, Istituto Superiore di Sanità, Rome, Italy.

Service of Statistics, Istituto Superiore di Sanità, Rome, Italy.

出版信息

J Public Health (Oxf). 2019 Mar 1;41(1):46-54. doi: 10.1093/pubmed/fdx176.

Abstract

BACKGROUND

Italy has been the first country at European level to implement a population-based public health registry dedicated to rare diseases. This study describes the current situation of the Italian National Rare Diseases Registry (NRDR) and compares its data with those from the National Hospital Discharge Database (HDD).

METHODS

Three rare diseases were analysed: Huntington disease (HD), Hereditary Haemorragic Telangiectasia (HHT) and Prader-Willi Syndrome (PWS), selected for their different characteristics. The two sources (NRDR and HDD) were linked: incidence rate ratio (IRR), sensitivity and predictive positive value (PPV) were calculated.

RESULTS

Incidence rates from NRDR and from HDD were compared by age groups, and IRR calculated: 1.08 for HD, 1.41 for HHT, 1.21 for PSW. For HD, sensitivity was 0.52 and PPV 0.48; for HHT sensitivity was 0.71 and PPV 0.52; for PWS the sensitivity was 0.71 and PPV 0.58. We found a strong regional variability in the results.

CONCLUSIONS

The integrated use of the two sources helps tracking those cases that are not captured by the Registry; further, it is a precious tool to accurately describe clinical histories of rare disease affected individuals, in terms of concomitant pathologies and medical procedures performed during hospitalization.

摘要

背景

意大利是欧洲首个为罕见病设立基于人群的公共卫生注册系统的国家。本研究描述了意大利国家罕见病注册系统(NRDR)的现状,并将其数据与国家住院数据库(HDD)的数据进行了比较。

方法

选择亨廷顿病(HD)、遗传性出血性毛细血管扩张症(HHT)和普拉德-威利综合征(PWS)这三种罕见病进行分析,它们具有不同的特征。将这两个来源(NRDR 和 HDD)进行了关联:计算发病率比值(IRR)、灵敏度和阳性预测值(PPV)。

结果

通过年龄组比较了 NRDR 和 HDD 的发病率,并计算了发病率比值(IRR):HD 为 1.08,HHT 为 1.41,PWS 为 1.21。对于 HD,灵敏度为 0.52,PPV 为 0.48;对于 HHT,灵敏度为 0.71,PPV 为 0.52;对于 PWS,灵敏度为 0.71,PPV 为 0.58。我们发现结果存在很强的区域变异性。

结论

两种来源的综合使用有助于追踪那些未被注册系统捕捉到的病例;此外,它还是一种精确描述罕见病患者临床病史的宝贵工具,包括伴随的疾病和住院期间进行的医疗程序。

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