• 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

570157 例缺血性心脏病患者多病共存的时间模式:一项全国性队列研究。

Temporal patterns of multi-morbidity in 570157 ischemic heart disease patients: a nationwide cohort study.

机构信息

Novo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, Blegdamsvej 3B, 2200, Copenhagen, Denmark.

Department of Cardiology, The Heart Center, Rigshospitalet, Blegdamsvej 9, 2100, Copenhagen, Denmark.

出版信息

Cardiovasc Diabetol. 2022 May 31;21(1):87. doi: 10.1186/s12933-022-01527-3.

DOI:10.1186/s12933-022-01527-3
PMID:35641964
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9158400/
Abstract

BACKGROUND

Patients diagnosed with ischemic heart disease (IHD) are becoming increasingly multi-morbid, and studies designed to analyze the full spectrum are few.

METHODS

Disease trajectories, defined as time-ordered series of diagnoses, were used to study the temporality of multi-morbidity. The main data source was The Danish National Patient Register (NPR) comprising 7,179,538 individuals in the period 1994-2018. Patients with a diagnosis code for IHD were included. Relative risks were used to quantify the strength of the association between diagnostic co-occurrences comprised of two diagnoses that were overrepresented in the same patients. Multiple linear regression models were then fitted to test for temporal associations among the diagnostic co-occurrences, termed length two disease trajectories. Length two disease trajectories were then used as basis for constructing disease trajectories of three diagnoses.

RESULTS

In a cohort of 570,157 IHD disease patients, we identified 1447 length two disease trajectories and 4729 significant length three disease trajectories. These included 459 distinct diagnoses. Disease trajectories were dominated by chronic diseases and not by common, acute diseases such as pneumonia. The temporal association of atrial fibrillation (AF) and IHD differed in different IHD subpopulations. We found an association between osteoarthritis (OA) and heart failure (HF) among patients diagnosed with OA, IHD, and then HF only.

CONCLUSIONS

The sequence of diagnoses is important in characterization of multi-morbidity in IHD patients as the disease trajectories. The study provides evidence that the timing of AF in IHD marks distinct IHD subpopulations; and secondly that the association between osteoarthritis and heart failure is dependent on IHD.

摘要

背景

患有缺血性心脏病 (IHD) 的患者越来越多病种,而设计用于分析全貌的研究很少。

方法

疾病轨迹,定义为按时间顺序排列的诊断系列,用于研究多种疾病的时间性。主要数据源是丹麦全国患者登记处 (NPR),其中包含 1994 年至 2018 年期间的 7179538 个人。包括有 IHD 诊断代码的患者。相对风险用于量化在同一患者中占比过高的两个诊断之间的诊断共同发生的关联强度。然后拟合多元线性回归模型来测试诊断共同发生之间的时间关联,称为长度为二的疾病轨迹。然后将长度为二的疾病轨迹用作构建三个诊断的疾病轨迹的基础。

结果

在一个 570157 例 IHD 疾病患者队列中,我们确定了 1447 个长度为二的疾病轨迹和 4729 个具有显著意义的长度为三的疾病轨迹。这些轨迹包括 459 个不同的诊断。疾病轨迹主要由慢性病主导,而不是肺炎等常见的急性疾病。心房颤动 (AF) 和 IHD 的时间关联在不同的 IHD 亚群中有所不同。我们发现,在诊断为 OA、IHD 然后仅 HF 的患者中,OA 和 HF 之间存在关联。

结论

在 IHD 患者的多病症特征中,诊断的顺序很重要,疾病轨迹就是证明。该研究表明,AF 在 IHD 中的发生时间标志着不同的 IHD 亚群;其次,OA 和 HF 之间的关联取决于 IHD。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fa3f/9158400/cf853899b7ff/12933_2022_1527_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fa3f/9158400/faca714c712a/12933_2022_1527_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fa3f/9158400/2d349869ee1c/12933_2022_1527_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fa3f/9158400/cf853899b7ff/12933_2022_1527_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fa3f/9158400/faca714c712a/12933_2022_1527_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fa3f/9158400/2d349869ee1c/12933_2022_1527_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fa3f/9158400/cf853899b7ff/12933_2022_1527_Fig3_HTML.jpg

相似文献

1
Temporal patterns of multi-morbidity in 570157 ischemic heart disease patients: a nationwide cohort study.570157 例缺血性心脏病患者多病共存的时间模式:一项全国性队列研究。
Cardiovasc Diabetol. 2022 May 31;21(1):87. doi: 10.1186/s12933-022-01527-3.
2
Incidence of heart failure among diabetic patients with ischemic heart disease: a cohort study.糖尿病合并缺血性心脏病患者心力衰竭的发生率:一项队列研究。
BMC Cardiovasc Disord. 2020 Apr 19;20(1):181. doi: 10.1186/s12872-020-01457-6.
3
Association of ischemic heart disease with long-term risk of cognitive decline and dementia: A cohort study.缺血性心脏病与认知能力下降和痴呆的长期风险相关:一项队列研究。
Alzheimers Dement. 2023 Dec;19(12):5541-5549. doi: 10.1002/alz.13114. Epub 2023 May 30.
4
Risk prediction of heart failure in patients with ischemic heart disease using network analytics and stacking ensemble learning.利用网络分析和堆叠集成学习预测缺血性心脏病患者心力衰竭的风险。
BMC Med Inform Decis Mak. 2023 May 23;23(1):99. doi: 10.1186/s12911-023-02196-2.
5
Mucosal healing and the risk of ischemic heart disease or atrial fibrillation in patients with celiac disease; a population-based study.乳糜泻患者黏膜愈合与缺血性心脏病或心房颤动风险的关系:一项基于人群的研究。
PLoS One. 2015 Jan 30;10(1):e0117529. doi: 10.1371/journal.pone.0117529. eCollection 2015.
6
Patients with atrial fibrillation and permanent pacemaker: Temporal changes in patient characteristics and pharmacotherapy.心房颤动合并永久性起搏器植入患者:患者特征和药物治疗的时间变化。
PLoS One. 2018 Mar 28;13(3):e0195175. doi: 10.1371/journal.pone.0195175. eCollection 2018.
7
Global Differences in Burden and Treatment of Ischemic Heart Disease in Acute Heart Failure: REPORT-HF.全球急性心力衰竭中缺血性心脏病负担和治疗的差异:REPORT-HF。
JACC Heart Fail. 2021 May;9(5):349-359. doi: 10.1016/j.jchf.2020.12.015. Epub 2021 Apr 7.
8
Comorbidities and mortality associated with hospitalized heart failure in Canada.加拿大住院心力衰竭的合并症和死亡率。
Can J Cardiol. 2012 Jan-Feb;28(1):74-9. doi: 10.1016/j.cjca.2011.05.002. Epub 2011 Aug 31.
9
Risk and predictors of heart failure in sarcoidosis in a population-based cohort study from Sweden.基于瑞典人群队列研究的肉芽肿性多血管炎致心力衰竭的风险和预测因素。
Heart. 2022 Mar;108(6):467-473. doi: 10.1136/heartjnl-2021-319129. Epub 2021 May 21.
10
Rate of Heart Failure Following Atrial Fibrillation According to Presence of Family History of Dilated Cardiomyopathy or Heart Failure: A Nationwide Study.心房颤动后心力衰竭发生率与扩张型心肌病或心力衰竭家族史的关系:一项全国性研究。
J Am Heart Assoc. 2021 Nov 16;10(22):e021286. doi: 10.1161/JAHA.120.021286. Epub 2021 Oct 30.

引用本文的文献

1
Subgrouping patients with ischemic heart disease by means of the Markov cluster algorithm.采用马尔可夫聚类算法对缺血性心脏病患者进行亚组划分。
Commun Med (Lond). 2025 Aug 26;5(1):372. doi: 10.1038/s43856-025-01077-1.
2
Co-Occurring Diseases and Mortality in Patients With Chronic Heart Disease, Modeling Their Dynamically Expanding Disease Portfolios: Nationwide Register Study.慢性心脏病患者的共病与死亡率:构建其动态扩展的疾病组合模型——全国性登记研究
JMIR Cardio. 2025 Apr 25;9:e57749. doi: 10.2196/57749.
3
Opportunities and challenges for biomarker discovery using electronic health record data.

本文引用的文献

1
Optimizing drug selection from a prescription trajectory of one patient.从一名患者的处方轨迹中优化药物选择。
NPJ Digit Med. 2021 Oct 20;4(1):150. doi: 10.1038/s41746-021-00522-4.
2
Glucose-Lowering Drugs to Reduce Cardiovascular Risk in Type 2 Diabetes.降低2型糖尿病心血管风险的降糖药物
N Engl J Med. 2021 Apr 1;384(13):1248-1260. doi: 10.1056/NEJMcp2000280.
3
Disease trajectory browser for exploring temporal, population-wide disease progression patterns in 7.2 million Danish patients.疾病轨迹浏览器,用于探索 720 万丹麦患者中随时间变化的、全人群范围的疾病进展模式。
利用电子健康记录数据发现生物标志物的机遇与挑战。
Trends Mol Med. 2023 Sep;29(9):765-776. doi: 10.1016/j.molmed.2023.06.006. Epub 2023 Jul 18.
4
Hospital-wide natural language processing summarising the health data of 1 million patients.全院范围的自然语言处理对100万名患者的健康数据进行汇总。
PLOS Digit Health. 2023 May 9;2(5):e0000218. doi: 10.1371/journal.pdig.0000218. eCollection 2023 May.
5
Longitudinal models for the progression of disease portfolios in a nationwide chronic heart disease population.全国慢性心脏病患者疾病组合进展的纵向模型。
PLoS One. 2023 Apr 20;18(4):e0284496. doi: 10.1371/journal.pone.0284496. eCollection 2023.
Nat Commun. 2020 Oct 2;11(1):4952. doi: 10.1038/s41467-020-18682-4.
4
Managing Stable Ischemic Heart Disease.稳定型缺血性心脏病的管理
N Engl J Med. 2020 Apr 9;382(15):1468-1470. doi: 10.1056/NEJMe2000239. Epub 2020 Mar 30.
5
European Society of Cardiology: Cardiovascular Disease Statistics 2019.欧洲心脏病学会:《2019年心血管疾病统计数据》
Eur Heart J. 2020 Jan 1;41(1):12-85. doi: 10.1093/eurheartj/ehz859.
6
Identifying Sepsis Phenotypes.识别脓毒症表型。
JAMA. 2019 Oct 8;322(14):1416-1417. doi: 10.1001/jama.2019.12591.
7
Dapagliflozin in Patients with Heart Failure and Reduced Ejection Fraction.达格列净治疗射血分数降低的心力衰竭患者。
N Engl J Med. 2019 Nov 21;381(21):1995-2008. doi: 10.1056/NEJMoa1911303. Epub 2019 Sep 19.
8
2019 ESC Guidelines on diabetes, pre-diabetes, and cardiovascular diseases developed in collaboration with the EASD.2019年欧洲心脏病学会(ESC)与欧洲糖尿病研究协会(EASD)合作制定的糖尿病、糖尿病前期和心血管疾病指南。
Eur Heart J. 2020 Jan 7;41(2):255-323. doi: 10.1093/eurheartj/ehz486.
9
Temporal Trends and Patterns in Mortality After Incident Heart Failure: A Longitudinal Analysis of 86 000 Individuals.事件性心力衰竭后死亡率的时间趋势和模式:86000 个人的纵向分析。
JAMA Cardiol. 2019 Nov 1;4(11):1102-1111. doi: 10.1001/jamacardio.2019.3593.
10
Primary prevention of ischaemic heart disease: populations, individuals, and health professionals.缺血性心脏病的一级预防:人群、个体和卫生专业人员。
Lancet. 2019 Aug 24;394(10199):685-696. doi: 10.1016/S0140-6736(19)31893-8.