痴呆症的发病率和流行率:意大利坎帕尼亚大区 2015-2020 年人口研究。

IF 3.2 3区 医学 Q2 CLINICAL NEUROLOGY Neuroepidemiology Pub Date : 2024-04-24 DOI:10.1159/000539031
Giuseppina Affinito, Vito Salerno, M. Di Gennaro, Luca Scafa, Alessandro Russo, M. G. Fumo, R. Giordana, F. Falco, Flavio Della Pia, Angelica Di Cecca, Miriana Migliaccio, C. R. Ilardi, Chiara Criscuolo, Myriam Spisto, M. Triassi, Vincenzo Brescia Morra, R. Palladino, Elena Salvatore, M. Moccia
{"title":"痴呆症的发病率和流行率:意大利坎帕尼亚大区 2015-2020 年人口研究。","authors":"Giuseppina Affinito, Vito Salerno, M. Di Gennaro, Luca Scafa, Alessandro Russo, M. G. Fumo, R. Giordana, F. Falco, Flavio Della Pia, Angelica Di Cecca, Miriana Migliaccio, C. R. Ilardi, Chiara Criscuolo, Myriam Spisto, M. Triassi, Vincenzo Brescia Morra, R. Palladino, Elena Salvatore, M. Moccia","doi":"10.1159/000539031","DOIUrl":null,"url":null,"abstract":"OBJECTIVE\nTo provide population-based estimates of prevalence and incidence of any dementia and Alzheimer's dementia in the Campania Region (South Italy), and to validate towards a clinical registry.\n\n\nMETHODS\nPopulation-based study, using routinely collected healthcare data of individuals living in the Campania Region (South Italy) from 2015 to 2020. We included individuals aged ≥65 years alive at the prevalence day (1 January 2021) who had at least one administrative record for dementia and/or Alzheimer's dementia from 2015 to 2020. Age-and sex-standardised prevalence rates were calculated using direct standardisation method (European population in 2020 as reference population). To estimate incidence, we tested three possible algorithms, which differed for the duration of the time interval between study baseline (Jan 1, 2015) and index date (first record for dementia and/or Alzheimer's dementia in administrative databases). We employed a clinical database for the validation of our algorithms towards neuropsychological test results.\n\n\nRESULTS\nAmong individuals aged over 65, 80,392 had dementia, of which 35,748 had Alzheimer's dementia. The age- and sex-standardized prevalence rates per 1,000 individuals for any dementia and Alzheimer's dementia were 77.64 (95%CI = 77.57; 77.68) and 34.05 (95%CI = 34.01; 34.09), respectively. There were 82.10 incident of any dementia cases per 100,000 per year (0.79 sensitivity and 0.62 specificity), and 59.89 incident cases of any dementia per 100,000 per year (0.80 sensitivity and 0.59 specificity). The capture-recapture method showed very low number of undetected cases (1.7% for any dementia and 3.0% for Alzheimer's dementia). Our algorithms showed acceptable performance with AUC ranging from 0.59 to 0.72, and double likelihood ratio of correctly identifying individuals above and below MMSE standard cut-offs (24 and 26).\n\n\nCONCLUSIONS\nPrevalence and incidence of any dementia and Alzheimer's dementia in the Campania Region (South Italy) from 2015 to 2020 are in line with previous estimates from other countries. Our algorithm, integrating administrative and clinical data, holds potential for assessing dementia's epidemiological burden, identifying risk factors, planning healthcare access, and developing prevention strategies.","PeriodicalId":54730,"journal":{"name":"Neuroepidemiology","volume":null,"pages":null},"PeriodicalIF":3.2000,"publicationDate":"2024-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Incidence and prevalence of dementia: A 2015-2020 population-based study in the Campania Region of Italy.\",\"authors\":\"Giuseppina Affinito, Vito Salerno, M. Di Gennaro, Luca Scafa, Alessandro Russo, M. G. Fumo, R. Giordana, F. Falco, Flavio Della Pia, Angelica Di Cecca, Miriana Migliaccio, C. R. Ilardi, Chiara Criscuolo, Myriam Spisto, M. Triassi, Vincenzo Brescia Morra, R. Palladino, Elena Salvatore, M. Moccia\",\"doi\":\"10.1159/000539031\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"OBJECTIVE\\nTo provide population-based estimates of prevalence and incidence of any dementia and Alzheimer's dementia in the Campania Region (South Italy), and to validate towards a clinical registry.\\n\\n\\nMETHODS\\nPopulation-based study, using routinely collected healthcare data of individuals living in the Campania Region (South Italy) from 2015 to 2020. We included individuals aged ≥65 years alive at the prevalence day (1 January 2021) who had at least one administrative record for dementia and/or Alzheimer's dementia from 2015 to 2020. Age-and sex-standardised prevalence rates were calculated using direct standardisation method (European population in 2020 as reference population). To estimate incidence, we tested three possible algorithms, which differed for the duration of the time interval between study baseline (Jan 1, 2015) and index date (first record for dementia and/or Alzheimer's dementia in administrative databases). We employed a clinical database for the validation of our algorithms towards neuropsychological test results.\\n\\n\\nRESULTS\\nAmong individuals aged over 65, 80,392 had dementia, of which 35,748 had Alzheimer's dementia. The age- and sex-standardized prevalence rates per 1,000 individuals for any dementia and Alzheimer's dementia were 77.64 (95%CI = 77.57; 77.68) and 34.05 (95%CI = 34.01; 34.09), respectively. There were 82.10 incident of any dementia cases per 100,000 per year (0.79 sensitivity and 0.62 specificity), and 59.89 incident cases of any dementia per 100,000 per year (0.80 sensitivity and 0.59 specificity). The capture-recapture method showed very low number of undetected cases (1.7% for any dementia and 3.0% for Alzheimer's dementia). Our algorithms showed acceptable performance with AUC ranging from 0.59 to 0.72, and double likelihood ratio of correctly identifying individuals above and below MMSE standard cut-offs (24 and 26).\\n\\n\\nCONCLUSIONS\\nPrevalence and incidence of any dementia and Alzheimer's dementia in the Campania Region (South Italy) from 2015 to 2020 are in line with previous estimates from other countries. Our algorithm, integrating administrative and clinical data, holds potential for assessing dementia's epidemiological burden, identifying risk factors, planning healthcare access, and developing prevention strategies.\",\"PeriodicalId\":54730,\"journal\":{\"name\":\"Neuroepidemiology\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":3.2000,\"publicationDate\":\"2024-04-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Neuroepidemiology\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1159/000539031\",\"RegionNum\":3,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"CLINICAL NEUROLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Neuroepidemiology","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1159/000539031","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"CLINICAL NEUROLOGY","Score":null,"Total":0}
引用次数: 0

摘要

目的:对坎帕尼亚大区(南意大利)任何痴呆症和阿尔茨海默氏痴呆症的患病率和发病率进行基于人群的估计,并对临床登记进行验证。我们纳入了在流行日(2021 年 1 月 1 日)年龄≥65 岁且在 2015 年至 2020 年期间至少有一次痴呆和/或阿尔茨海默氏痴呆行政记录的在世者。采用直接标准化方法(以 2020 年欧洲人口为参考人口)计算年龄和性别标准化患病率。为了估算发病率,我们测试了三种可能的算法,这三种算法在研究基线(2015 年 1 月 1 日)和指数日期(行政数据库中的首个痴呆症和/或阿尔茨海默氏症记录)之间的时间间隔长短上有所不同。结果在 65 岁以上的人群中,80,392 人患有痴呆症,其中 35,748 人患有阿尔茨海默氏痴呆症。任何痴呆症和阿尔茨海默氏症的年龄和性别标准化患病率分别为 77.64 (95%CI = 77.57; 77.68) 和 34.05 (95%CI = 34.01; 34.09)。每年每 10 万人中有 82.10 例任何痴呆症病例(灵敏度为 0.79,特异度为 0.62),每年每 10 万人中有 59.89 例任何痴呆症病例(灵敏度为 0.80,特异度为 0.59)。捕获-再捕获法显示未检测到的病例数非常少(任何痴呆症为 1.7%,阿尔茨海默氏症为 3.0%)。我们的算法显示了可接受的性能,AUC 在 0.59 到 0.72 之间,正确识别高于和低于 MMSE 标准临界值(24 和 26)的个体的双重似然比。我们的算法整合了行政和临床数据,可用于评估痴呆症的流行病学负担、确定风险因素、规划医疗服务和制定预防策略。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Incidence and prevalence of dementia: A 2015-2020 population-based study in the Campania Region of Italy.
OBJECTIVE To provide population-based estimates of prevalence and incidence of any dementia and Alzheimer's dementia in the Campania Region (South Italy), and to validate towards a clinical registry. METHODS Population-based study, using routinely collected healthcare data of individuals living in the Campania Region (South Italy) from 2015 to 2020. We included individuals aged ≥65 years alive at the prevalence day (1 January 2021) who had at least one administrative record for dementia and/or Alzheimer's dementia from 2015 to 2020. Age-and sex-standardised prevalence rates were calculated using direct standardisation method (European population in 2020 as reference population). To estimate incidence, we tested three possible algorithms, which differed for the duration of the time interval between study baseline (Jan 1, 2015) and index date (first record for dementia and/or Alzheimer's dementia in administrative databases). We employed a clinical database for the validation of our algorithms towards neuropsychological test results. RESULTS Among individuals aged over 65, 80,392 had dementia, of which 35,748 had Alzheimer's dementia. The age- and sex-standardized prevalence rates per 1,000 individuals for any dementia and Alzheimer's dementia were 77.64 (95%CI = 77.57; 77.68) and 34.05 (95%CI = 34.01; 34.09), respectively. There were 82.10 incident of any dementia cases per 100,000 per year (0.79 sensitivity and 0.62 specificity), and 59.89 incident cases of any dementia per 100,000 per year (0.80 sensitivity and 0.59 specificity). The capture-recapture method showed very low number of undetected cases (1.7% for any dementia and 3.0% for Alzheimer's dementia). Our algorithms showed acceptable performance with AUC ranging from 0.59 to 0.72, and double likelihood ratio of correctly identifying individuals above and below MMSE standard cut-offs (24 and 26). CONCLUSIONS Prevalence and incidence of any dementia and Alzheimer's dementia in the Campania Region (South Italy) from 2015 to 2020 are in line with previous estimates from other countries. Our algorithm, integrating administrative and clinical data, holds potential for assessing dementia's epidemiological burden, identifying risk factors, planning healthcare access, and developing prevention strategies.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Neuroepidemiology
Neuroepidemiology 医学-公共卫生、环境卫生与职业卫生
CiteScore
9.90
自引率
1.80%
发文量
49
审稿时长
6-12 weeks
期刊介绍: ''Neuroepidemiology'' is the only internationally recognised peer-reviewed periodical devoted to descriptive, analytical and experimental studies in the epidemiology of neurologic disease. The scope of the journal expands the boundaries of traditional clinical neurology by providing new insights regarding the etiology, determinants, distribution, management and prevention of diseases of the nervous system.
期刊最新文献
Prevalence, incidence, and mortality of Myasthenia Gravis and myasthenic syndromes: a systematic review. Strength of Association between Coronavirus Disease 2019 and Neurological Disorders in Children: A Case-Control Study. Low sun exposure is associated with both progressive-onset and relapse-onset multiple sclerosis risk: a case-control study. Changing Epidemiology of Neurological Diseases in Africa. Insights from ARCOS-V's Transition to Remote Data Collection During the COVID-19 Pandemic: A Descriptive Study.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1