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男性和女性慢性阻塞性肺疾病和心力衰竭的多重合并症网络:来自 EpiChron 队列的证据。

Multimorbidity networks of chronic obstructive pulmonary disease and heart failure in men and women: Evidence from the EpiChron Cohort.

机构信息

EpiChron Research Group, Aragon Health Sciences Institute (IACS), IIS Aragón, REDISSEC. Miguel Servet University Hospital, 50009, Zaragoza, Spain; Aragon Health Service (SALUD). Department III of Zaragoza, Zaragoza, Spain.

EpiChron Research Group, Aragon Health Sciences Institute (IACS), IIS Aragón, REDISSEC. Miguel Servet University Hospital, 50009, Zaragoza, Spain.

出版信息

Mech Ageing Dev. 2021 Jan;193:111392. doi: 10.1016/j.mad.2020.111392. Epub 2020 Oct 29.

Abstract

Patients with heart failure (HF) and/or chronic obstructive pulmonary disease (COPD) constitute a complex population with different phenotypes based on pathophysiology, comorbidity, sex and age. We aimed to compare the multimorbidity patterns of HF and COPD in men and women using network analysis. Individuals aged 40 years or older on 2015 of the EpiChron Cohort (Aragon, Spain) were stratified by sex and as having COPD (n = 28,608), HF (n = 13,414), or COPD and HF (n = 3952). We constructed one network per group by obtaining age-adjusted phi correlations between comorbidities. For each sex, networks differed between the three study groups; between sexes, similarities were found for the two HF groups. We detected some specific diseases highly connected in all networks (e.g., cardio-metabolic, respiratory diseases, and chronic kidney failure), and some others that were group-specific that would require further study. We identified common clusters (i.e., cardio-metabolic, cardiovascular, cancer, and neuro-psychiatric) and others specific and clinically relevant in COPD patients (e.g., behavioral risk disorders were systematically associated with psychiatric diseases in women and cancer in men). Network analysis represents a powerful tool to analyze, visualize, and compare the multimorbidity patterns of COPD and HF, also facilitated by developing an ad hoc website.

摘要

患有心力衰竭 (HF) 和/或慢性阻塞性肺疾病 (COPD) 的患者构成了一个复杂的人群,其表型基于病理生理学、合并症、性别和年龄而有所不同。我们旨在使用网络分析比较男性和女性 HF 和 COPD 的多种合并症模式。2015 年,西班牙阿拉贡的 EpiChron 队列 (Aragon, Spain) 中年龄在 40 岁及以上的个体按性别分层,并分为 COPD (n=28608)、HF (n=13414) 或 COPD 和 HF (n=3952)。我们通过获得合并症之间的年龄调整 phi 相关性,为每个组构建一个网络。对于每个性别,三个研究组之间的网络不同;在性别之间,两个 HF 组之间存在相似之处。我们检测到一些在所有网络中高度连接的特定疾病(例如,心血管代谢、呼吸道疾病和慢性肾衰竭),以及一些其他特定于组的疾病,这些疾病需要进一步研究。我们确定了常见的聚类(即心血管代谢、心血管、癌症和神经精神)以及 COPD 患者中特定和临床相关的其他聚类(例如,行为风险障碍与女性的精神疾病和男性的癌症系统相关)。网络分析是一种强大的工具,可用于分析、可视化和比较 COPD 和 HF 的多种合并症模式,通过开发专门的网站也可以更方便地进行分析。

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