丹麦2000年至2018年与一系列综合疾病相关的死亡率指标分析:一项基于人群的队列研究

IF 10.5 1区 医学 Q1 MEDICINE, GENERAL & INTERNAL PLoS Medicine Pub Date : 2022-06-01 DOI:10.1371/journal.pmed.1004023
O. Plana-Ripoll, J. Dreier, N. Momen, Anders Prior, N. Weye, P. Mortensen, C. Pedersen, K. Iburg, M. Christensen, T. Laursen, E. Agerbo, M. Pedersen, J. Brandt, L. Frohn, C. Geels, J. Christensen, J. Mcgrath
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Methods and findings In a population-based cohort of all 7,378,598 persons living in Denmark at some point between 2000 and 2018, we identified individuals diagnosed at hospitals with 1,803 specific categories of disorders through the International Classification of Diseases-10th Revision (ICD-10) in the National Patient Register. Information on date and cause of death was obtained from the Registry of Causes of Death. For each of the disorders, a panel of epidemiological and mortality metrics was estimated, including incidence rates, age-of-onset distributions, MRRs, and differences in life expectancy (estimated as life years lost [LYLs]). Additionally, we examined models that adjusted for measures of air pollution to explore potential associations with MRRs. 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引用次数: 9

摘要

背景提供不同类型的死亡率指标(例如,死亡率[MRR]和预期寿命)使研究界能够获得一套信息更丰富的健康指标。这项研究的目的是提供一组与一系列疾病相关的死亡率指标,并设计一个网页来可视化所有结果。方法和发现在2000年至2018年间的某个时间点,我们对居住在丹麦的所有7378598人进行了基于人群的队列研究,通过国家患者登记册中的国际疾病分类第10次修订版(ICD-10),我们确定了在医院诊断出患有1803种特定疾病的人。关于死亡日期和原因的信息是从死亡原因登记处获得的。对于每种疾病,都估计了一组流行病学和死亡率指标,包括发病率、发病年龄分布、MRR和预期寿命差异(估计为寿命损失[LYLs])。此外,我们还研究了根据空气污染指标进行调整的模型,以探索与MRR的潜在关联。我们将重点放在39种常见疾病上,以简化结果的呈现,这些疾病涵盖10大类:循环系统、内分泌系统、肺部、胃肠道、泌尿生殖系统、肌肉骨骼系统、血液系统、精神和神经系统疾病以及癌症。共对3676694名男性和3701904名女性进行了1.017亿人年的随访。在19年的随访期间,1034273人(14.0%)死亡。在39种选定的疾病中,有37种的死亡率高于丹麦普通人群,预期寿命较短。对于这37种疾病,视力问题的MRRs范围为1.09(95%置信区间[CI]:1.09至1.10),慢性肝病的为7.85(7.77至7.93),而过敏的LYLs范围为0.31(0.14至0.47)年(约16周),慢性肝脏疾病的为17.05(16.95至17.15)年。空气污染的调整对估计数几乎没有影响;然而,该研究的一个局限性是,不同疾病与死亡率之间的联系可能由与疾病和死亡率相关的其他潜在因素来解释。结论在这项研究中,我们对一系列疾病的发病率、发病年龄、死亡年龄和死亡率指标(MRRs和LYL)进行了估计。交互式数据可视化站点(https://nbepi.com/atlas)允许对一系列疾病和关键死亡率估计之间的联系进行更精细的分析。
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Analysis of mortality metrics associated with a comprehensive range of disorders in Denmark, 2000 to 2018: A population-based cohort study
Background The provision of different types of mortality metrics (e.g., mortality rate ratios [MRRs] and life expectancy) allows the research community to access a more informative set of health metrics. The aim of this study was to provide a panel of mortality metrics associated with a comprehensive range of disorders and to design a web page to visualize all results. Methods and findings In a population-based cohort of all 7,378,598 persons living in Denmark at some point between 2000 and 2018, we identified individuals diagnosed at hospitals with 1,803 specific categories of disorders through the International Classification of Diseases-10th Revision (ICD-10) in the National Patient Register. Information on date and cause of death was obtained from the Registry of Causes of Death. For each of the disorders, a panel of epidemiological and mortality metrics was estimated, including incidence rates, age-of-onset distributions, MRRs, and differences in life expectancy (estimated as life years lost [LYLs]). Additionally, we examined models that adjusted for measures of air pollution to explore potential associations with MRRs. We focus on 39 general medical conditions to simplify the presentation of results, which cover 10 broad categories: circulatory, endocrine, pulmonary, gastrointestinal, urogenital, musculoskeletal, hematologic, mental, and neurologic conditions and cancer. A total of 3,676,694 males and 3,701,904 females were followed up for 101.7 million person-years. During the 19-year follow-up period, 1,034,273 persons (14.0%) died. For 37 of the 39 selected medical conditions, mortality rates were larger and life expectancy shorter compared to the Danish general population. For these 37 disorders, MRRs ranged from 1.09 (95% confidence interval [CI]: 1.09 to 1.10) for vision problems to 7.85 (7.77 to 7.93) for chronic liver disease, while LYLs ranged from 0.31 (0.14 to 0.47) years (approximately 16 weeks) for allergy to 17.05 (16.95 to 17.15) years for chronic liver disease. Adjustment for air pollution had very little impact on the estimates; however, a limitation of the study is the possibility that the association between the different disorders and mortality could be explained by other underlying factors associated with both the disorder and mortality. Conclusions In this study, we show estimates of incidence, age of onset, age of death, and mortality metrics (both MRRs and LYLs) for a comprehensive range of disorders. The interactive data visualization site (https://nbepi.com/atlas) allows more fine-grained analysis of the link between a range of disorders and key mortality estimates.
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来源期刊
PLoS Medicine
PLoS Medicine 医学-医学:内科
CiteScore
21.60
自引率
0.60%
发文量
227
审稿时长
3 months
期刊介绍: PLOS Medicine aims to be a leading platform for research and analysis on the global health challenges faced by humanity. The journal covers a wide range of topics, including biomedicine, the environment, society, and politics, that affect the well-being of individuals worldwide. It particularly highlights studies that contribute to clinical practice, health policy, or our understanding of disease mechanisms, with the ultimate goal of improving health outcomes in diverse settings. Unwavering in its commitment to ethical standards, PLOS Medicine ensures integrity in medical publishing. This includes actively managing and transparently disclosing any conflicts of interest during the reporting, peer review, and publication processes. The journal promotes transparency by providing visibility into the review and publication procedures. It also encourages data sharing and the reuse of published work. Author rights are upheld, allowing them to retain copyright. Furthermore, PLOS Medicine strongly supports Open Access publishing, making research articles freely available to all without restrictions, facilitating widespread dissemination of knowledge. The journal does not endorse drug or medical device advertising and refrains from exclusive sales of reprints to avoid conflicts of interest.
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