• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

[采用基于意大利不同地区电子健康数据的标准算法估算的哮喘患病率]

[Asthma prevalence estimated using a standard algorithm based on electronic health data in various areas of Italy].

作者信息

Tessari Roberta, Migliore Enrica, Balzi Daniela, Barchielli Alessandro, Canova Cristina, Faustini Annunziata, Galassi Claudia, Simonato Lorenzo

机构信息

Unità di epidemiologia, Dipartimento di prevenzione, Azienda ULSS 12 Veneziana.

出版信息

Epidemiol Prev. 2008 May-Jun;32(3 Suppl):56-65.

PMID:18928239
Abstract

AIM

development of an algorithm to estimate asthma prevalence by record linkage of different health databases: causes of death (CM), hospital discharges (SDO), drug prescriptions archive (PF), health tax exemptions (ET) in three Italian areas.

SETTING

Venezia AULSS 12, city of Torino, Firenze ASL 10.

PARTICIPANTS

residents aged between 0 and 34 years in the above three centres in the three year period 2002-2004, for a total of 661,275 inhabitants on 30 June 2003.

MAIN OUTCOME

annual crude and standardized prevalence (per 100 inhabitants) with 95% confidence intervals by gender and age groups (0-14, 15-34, total: 0-34 years).

METHODS

for each year of interest, we selected the following: cases with asthma as primary cause of death from CM; all persons discharged from hospitals with diagnosis (primary or secondary) of asthma (ICD9-CM code = 493*); selected prescriptions of anti-asthma drugs (ATC code = R03A, R03CC02, R03CC04, R03CK, R03DC01, R03DC03), and health-tax exemptions for asthma (code = 007.493) from ET. We defined as prevalent case a subject who was present every single year in at least one of four health databases. We reported the absolute and relative contribution of each information system by area, age, gender and year of interest. A sensitivity analysis using more restrictive criteria to identify prevalent cases (two or more prescriptions per year) was also performed.

RESULTS

the PF archive is the most important information source in identifying prevalent cases (from 92.5% of Torino to 95.4% of Firenze). The standardized prevalence of asthma in 0-34 years of age is higher in Venezia (6.37%; 2003 year) than in the other two areas, which show similar values (4.01% in Firenze, 3.77% in Torino; 2003 year). In both genders, the standardized prevalence of asthma is, for all centers, clearly higher in the 0-14 age group than in the 15-34 age group. However, Venezia has a prevalence almost twice (11.21%) that of Firenze (6.20%) and Torino (5.60%) in the 0-14years age group. The use of more restrictive criteria in case identification consistently reduces the estimated prevalence; however, in the 0-14 age group the prevalence estimated in Venice (3.3%) is still almost twice as high as those observed in the other centres (1.8% in Florence and 1.6% in Turin).

CONCLUSIONS

the algorithm used to estimate asthma prevalence in the 0-34 years age group provides values which differ considerably between the centres that contributed to the study. A validation study is required to evaluate the diagnostic quality of the identified cases, in particular among younger subjects.

摘要

目的

通过不同健康数据库的记录链接开发一种算法,以估计意大利三个地区的哮喘患病率:死亡原因(CM)、医院出院记录(SDO)、药品处方档案(PF)、健康税豁免(ET)。

背景

威尼斯AULSS 12、都灵市、佛罗伦萨ASL 10。

参与者

2002 - 2004年三年期间上述三个中心年龄在0至34岁之间的居民,2003年6月30日共有661,275名居民。

主要结果

按性别和年龄组(0 - 14岁、15 - 34岁、总计:0 - 34岁)计算的年度粗患病率和标准化患病率(每100名居民)以及95%置信区间。

方法

对于感兴趣的每一年,我们选择了以下内容:CM中以哮喘为主要死亡原因的病例;所有因哮喘诊断(主要或次要)出院的患者(ICD9 - CM代码 = 493*);选定的抗哮喘药物处方(ATC代码 = R03A、R03CC02、R03CC04、R03CK、R03DC01、R03DC03),以及ET中哮喘的健康税豁免(代码 = 007.493)。我们将在至少四个健康数据库中的一个中每年都出现的个体定义为患病病例。我们按地区、年龄、性别和感兴趣的年份报告了每个信息系统的绝对和相对贡献。还进行了敏感性分析,使用更严格的标准来识别患病病例(每年两张或更多张处方)。

结果

PF档案是识别患病病例最重要的信息来源(从都灵的92.5%到佛罗伦萨的95.4%)。威尼斯0 - 34岁年龄组的哮喘标准化患病率(2003年为6.37%)高于其他两个地区,后两者显示出相似的值(佛罗伦萨为4.01%,都灵为3.77%;2003年)。在所有中心,两个性别的哮喘标准化患病率在0 - 14岁年龄组均明显高于15 - 34岁年龄组。然而,在0 - 14岁年龄组中,威尼斯的患病率(11.21%)几乎是佛罗伦萨(6.20%)和都灵(5.60%)的两倍。在病例识别中使用更严格的标准会持续降低估计的患病率;然而,在0 - 14岁年龄组中,威尼斯估计的患病率(3.3%)仍然几乎是其他中心观察到的患病率的两倍(佛罗伦萨为1.8%,都灵为1.6%)。

结论

用于估计0 - 34岁年龄组哮喘患病率的算法在参与研究的中心之间提供了差异很大的值。需要进行验证研究以评估所识别病例的诊断质量,特别是在较年轻的受试者中。

相似文献

1
[Asthma prevalence estimated using a standard algorithm based on electronic health data in various areas of Italy].[采用基于意大利不同地区电子健康数据的标准算法估算的哮喘患病率]
Epidemiol Prev. 2008 May-Jun;32(3 Suppl):56-65.
2
[Ischemic heart disease prevalence estimated using a standard algorithm based on electronic health data in various areas of Italy].[采用基于意大利不同地区电子健康数据的标准算法估算的缺血性心脏病患病率]
Epidemiol Prev. 2008 May-Jun;32(3 Suppl):22-9.
3
[Obstructive lung disease prevalence estimated using a standard algorithm based on electronic health data in various areas of Italy].[采用基于意大利不同地区电子健康数据的标准算法估算阻塞性肺病患病率]
Epidemiol Prev. 2008 May-Jun;32(3 Suppl):66-77.
4
[Diabetes prevalence estimated using a standard algorithm based on electronic health data in various areas of Italy].[采用基于意大利不同地区电子健康数据的标准算法估算的糖尿病患病率]
Epidemiol Prev. 2008 May-Jun;32(3 Suppl):15-21.
5
[Acute myocardial infarction incidence estimated using a standard algorithm based on electronic health data in different areas of Italy].[采用基于意大利不同地区电子健康数据的标准算法估算急性心肌梗死发病率]
Epidemiol Prev. 2008 May-Jun;32(3 Suppl):30-7.
6
[Acute stroke incidence estimated using a standard algorithm based on electronic health data in various areas of Italy].[采用基于意大利不同地区电子健康数据的标准算法估算急性卒中发病率]
Epidemiol Prev. 2008 May-Jun;32(3 Suppl):38-45.
7
[Chronic obstructive pulmonary disease prevalence estimated using a standard algorithm based on electronic health data in various areas of Italy].[使用基于意大利不同地区电子健康数据的标准算法估算慢性阻塞性肺疾病患病率]
Epidemiol Prev. 2008 May-Jun;32(3 Suppl):46-55.
8
Italian cancer figures, report 2012: Cancer in children and adolescents.《2012年意大利癌症数据报告:儿童和青少年癌症》
Epidemiol Prev. 2013 Jan-Feb;37(1 Suppl 1):1-225.
9
Italian cancer figures--Report 2015: The burden of rare cancers in Italy.意大利癌症数据——2015年报告:意大利罕见癌症的负担
Epidemiol Prev. 2016 Jan-Feb;40(1 Suppl 2):1-120. doi: 10.19191/EP16.1S2.P001.035.
10
[Objectives, tools and methods for an epidemiological use of electronic health archives in various areas of Italy].[意大利不同地区电子健康档案流行病学应用的目标、工具与方法]
Epidemiol Prev. 2008 May-Jun;32(3 Suppl):5-14.

引用本文的文献

1
A case study to investigate the effects of Chlorhexidine mouthwash on serum cytokines levels in children with Asthma.一项研究氯己定漱口水对哮喘儿童血清细胞因子水平影响的病例研究。
BMC Res Notes. 2024 Jun 26;17(1):178. doi: 10.1186/s13104-024-06831-7.
2
The disease burden of human cystic echinococcosis based on HDRs from 2001 to 2014 in Italy.基于2001年至2014年意大利卫生数据存储库的人类囊型棘球蚴病疾病负担
PLoS Negl Trop Dis. 2017 Jul 26;11(7):e0005771. doi: 10.1371/journal.pntd.0005771. eCollection 2017 Jul.