Multimorbidity patterns among persons with multiple sclerosis in Denmark: A national cross-sectional survey study

IF 3 3区医学 Q2 CLINICAL NEUROLOGY

Multiple sclerosis and related disorders Pub Date : 2026-05-01 Epub Date: 2026-02-17 DOI:10.1016/j.msard.2026.107081

Marie Lynning , Ida Skytt , Philipp Trénel , Anne Frølich , Sanne Lykke Lundstrøm , Nana Folmann Hempler , Lasse Skovgaard

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引用次数: 0

Abstract

Objectives

This national cross-sectional survey study aimed to investigate the prevalence and clustering of co-occurring diseases in persons with multiple sclerosis (MS) in Denmark. The study also examined the associations between socio-demographic and MS-specific characteristics and multimorbidity clusters.

Methods

The survey, conducted by the Danish MS Society, was carried out among 3,114 persons with MS (PwMS). The survey included information on 27 diseases, socio-demographic factors, and MS-specific factors. Weighted principal component analysis and K-means cluster analysis were used to identify multimorbidity clusters. Multinomial regression analyses were conducted to explore the associations between cluster membership and background variables.

Results

Seventy-five percent of the respondents reported having one or more diseases in addition to MS. The most common coexisting diseases were hypertension (25.1%), hyperlipidemia (18.4%), allergy (18.2%), slipped disc/other spine disorders (17.9%), and osteoarthritis (17.9%). Five multimorbidity clusters were identified: “None-to-low multimorbidity”, “Gastrointestinal, Musculoskeletal”, “Cardiovascular, Diabetes”, “Asthma, Allergy”, and “Mental Illness”. The clusters differed in terms of socio-demographic and MS-specific factors.

Conclusions

Understanding the patterns and clusters of multimorbidity, along with their links to socio-demographic and MS-specific characteristics, can help guide healthcare providers in assessing the healthcare needs of PwMS and in developing preventive strategies.

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丹麦多发性硬化症患者的多重发病模式：一项全国性横断面调查研究。

目的：这项全国性的横断面调查研究旨在调查丹麦多发性硬化症（MS）患者并发疾病的患病率和聚类。该研究还检查了社会人口统计学与多发性硬化症特异性特征和多发病群之间的关系。方法：由丹麦多发性硬化症协会对3114名多发性硬化症（PwMS）患者进行调查。该调查包括27种疾病、社会人口因素和ms特有因素的信息。加权主成分分析和k -均值聚类分析用于识别多病聚类。采用多项回归分析探讨聚类隶属度与背景变量之间的关系。结果：75%的受访者报告除ms外还有一种或多种疾病，最常见的共存疾病是高血压（25.1%）、高脂血症（18.4%）、过敏（18.2%）、椎间盘突出/其他脊柱疾病（17.9%）和骨关节炎（17.9%）。确定了5个多发病集群：“无到低多发病”、“胃肠道、肌肉骨骼”、“心血管、糖尿病”、“哮喘、过敏”和“精神疾病”。这些集群在社会人口统计学和ms特定因素方面有所不同。结论：了解多重疾病的模式和集群，以及它们与社会人口统计学和多发性硬化症特定特征的联系，可以帮助指导医疗保健提供者评估多发性硬化症的医疗保健需求，并制定预防策略。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Multiple sclerosis and related disorders CLINICAL NEUROLOGY-

CiteScore

5.80

自引率

20.00%

发文量

814

审稿时长

66 days

期刊介绍： Multiple Sclerosis is an area of ever expanding research and escalating publications. Multiple Sclerosis and Related Disorders is a wide ranging international journal supported by key researchers from all neuroscience domains that focus on MS and associated disease of the central nervous system. The primary aim of this new journal is the rapid publication of high quality original research in the field. Important secondary aims will be timely updates and editorials on important scientific and clinical care advances, controversies in the field, and invited opinion articles from current thought leaders on topical issues. One section of the journal will focus on teaching, written to enhance the practice of community and academic neurologists involved in the care of MS patients. Summaries of key articles written for a lay audience will be provided as an on-line resource. A team of four chief editors is supported by leading section editors who will commission and appraise original and review articles concerning: clinical neurology, neuroimaging, neuropathology, neuroepidemiology, therapeutics, genetics / transcriptomics, experimental models, neuroimmunology, biomarkers, neuropsychology, neurorehabilitation, measurement scales, teaching, neuroethics and lay communication.