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利用网络分析揭示银屑病的共病模式

Unraveling Multimorbidity Patterns of Psoriasis Using Network Analysis.

作者信息

Almenara-Blasco M, Carmona-Pírez J, Gracia-Cazaña T, Poblador-Plou B, Laguna-Berna C, Moreno-Juste A, Navarro-Bielsa A, Gimeno-Miguel A, Gilaberte Y

机构信息

Department of Dermatology, Hospital Universitario Miguel Servet IIS Aragón, Zaragoza, Spain.

EpiChron Research Group, Instituto de Investigación Sanitaria Aragón (IACS) (IIS Aragón), Hospital Universitario Miguel Servet, ES-50009 Zaragoza, Spain; Research Network on Chronicity, Primary Care, and Health Promotion (RICAPPS), Instituto de Salud Carlos III (ISCIII), ES-28029 Zaragoza, Spain; Subdirección Técnica Asesora de Gestión de la Información, Andalusian Health Service, ES-41071 Sevilla, Spain.

出版信息

Actas Dermosifiliogr. 2025 Jan 23. doi: 10.1016/j.ad.2024.12.017.

DOI:10.1016/j.ad.2024.12.017
PMID:39863248
Abstract

BACKGROUND

Psoriasis is a chronic disease with a prevalence of 3% in the general population. The high prevalence of psoriasis has prompted the study of its comorbidities in recent decades. However, no studies have ever analyzed comorbidity patterns including all chronic diseases in psoriatic patients.

OBJECTIVES

To identify comorbidity patterns in psoriatic patients using network analysis and describe them from a clinical point of view.

METHODS

We conducted an observational and retrospective study with individuals of the EpiChron Cohort (Aragón, Spain) diagnosed with psoriasis from January 1st, 2010 through December 31st, 2019. The population was stratified by sex and age intervals (0-11, 12-17, 18-44, 45-64, ≥65). We built a network for each stratum (i.e., 5 for each sex), calculating the tetrachoric correlations of each pair of diseases. We used a cut-off threshold for statistical significance of p-value <0.01. We applied the Louvain community detection algorithm to identify clusters of diseases.

RESULTS

The prevalence of psoriasis in Aragón was found to be 2.84%. We identified a total of 31,178 psoriatic patients (54% men, 61% from metropolitan areas). The most common comorbidities were respiratory diseases, cardiometabolic conditions (such as hypertension and dyslipidemia), and mental health disorders (including anxiety and mood disorders). A total of 21 comorbidity patterns were identified, varying by sex and age group.

CONCLUSIONS

This is the first study ever conducted with a comprehensive analysis of the disease patterns of psoriatic patients. Our results are a comprehensive map of possible psoriasis-related comorbidities. Further studies should confirm these associations and their pathophysiological relationship with psoriasis, which could help to detect and prevent comorbidities and modifiable risk factors.

摘要

背景

银屑病是一种慢性病,在普通人群中的患病率为3%。银屑病的高患病率促使了近几十年来对其合并症的研究。然而,尚无研究分析过银屑病患者包括所有慢性病在内的合并症模式。

目的

使用网络分析确定银屑病患者的合并症模式,并从临床角度对其进行描述。

方法

我们对2010年1月1日至2019年12月31日期间在西班牙阿拉贡地区的EpiChron队列中被诊断为银屑病的个体进行了一项观察性回顾性研究。研究人群按性别和年龄区间(0 - 11岁、12 - 17岁、18 - 44岁、45 - 64岁、≥65岁)进行分层。我们为每个分层构建了一个网络(即每种性别各5个网络),计算每对疾病之间的四分相关系数。我们使用p值<0.01作为统计显著性的截断阈值。我们应用Louvain社区检测算法来识别疾病集群。

结果

发现阿拉贡地区银屑病的患病率为2.84%。我们共识别出31178名银屑病患者(54%为男性,61%来自大都市地区)。最常见的合并症是呼吸系统疾病、心脏代谢疾病(如高血压和血脂异常)以及精神健康障碍(包括焦虑和情绪障碍)。总共识别出21种合并症模式,因性别和年龄组而异。

结论

这是首次对银屑病患者疾病模式进行全面分析的研究。我们得到的结果是一份关于可能与银屑病相关的合并症的全面图谱。进一步的研究应证实这些关联及其与银屑病的病理生理关系,这有助于检测和预防合并症及可改变的危险因素。

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