[Clinical characteristics of overlapping syndromes of low muscle mass in patients with rheumatoid arthritis and their impact on physical function].

Q3 Medicine 北京大学学报(医学版) Pub Date : 2024-12-18
Peiwen Jia, Ying Yang, Yaowei Zou, Zhiming Ouyang, Jianzi Lin, Jianda Ma, Kuimin Yang, Lie Dai
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Abstract

Objective: To investigate the clinical characteristics of overlapping syndromes of low muscle mass in Chinese patients with rheumatoid arthritis (RA) and their impact on physical function.

Methods: Consecutive patients with RA were recruited from September 2019 to April 2024 at Department of Rheumatology and Immunology, Sun Yat-Sen Memorial Hospital. Clinical data including disease acti-vity, physical function and radiographic assessment were collected. All patients also finished measurement of body composition, grip strength, and gait speed, and overlapping syndromes of low muscle mass as well as malnutrition, sarcopenia, sarcopenic obesity, and cachexia were evaluated. The Stanford health assessment questionnaire- disability index (HAQ-DI) was used to evaluate physical function. Logistic regression was used to analyze the related factors of physical dysfunction.

Results: A total of 1 016 RA patients were recruited. Their mean age was (52.4±12.5) years, and 82.5% were female. There were 557 cases (54.8%) with overlapping syndromes of low muscle mass and all of them were malnutrition. On this basis, 326 cases (32.1%) exhibited sarcopenia, 124 (12.2%) sarcopenic obesity, and 33 (3.2%) cachexia. There were 584 (57.4%) of RA patients having physical dysfunction, with varying degrees of severity 421 (41.4%) mild, 124 (12.2%) moderate, and 39 (3.8%) severe. Compared with patients without overlapping syndromes of low muscle mass (n=459) or with malnutrition only (n=231), RA patients with both malnutrition and sarcopenia (n=326) had significantly higher core disease activity indicators and higher rate of physical dysfunction (69.6% vs. 42.0% vs. 56.6%). However, compared with patients without overlapping syndromes of low muscle mass, patients with malnutrition only had lower HAQ-DI score (median 0.0 vs. 0.1) and lower rate of physical dysfunction (42.0% vs. 56.6%). Multivariate Logistic regression analysis showed that simultaneously overlapping malnutrition and sarcopenia were associated factors of physical dysfunction (OR=2.021, 95%CI: 1.067-3.828), but malnutrition only was not.

Conclusion: Simultaneously overlapping malnutrition and sarcopenia can deteriorate disease activity and physical dysfunction in RA patients. The screening and evaluation of overlapping syndromes of low muscle mass, especially sarcopenia should be emphasized in patients with RA.

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来源期刊
北京大学学报(医学版)
北京大学学报(医学版) Medicine-Medicine (all)
CiteScore
0.80
自引率
0.00%
发文量
9815
期刊介绍: Beijing Da Xue Xue Bao Yi Xue Ban / Journal of Peking University (Health Sciences), established in 1959, is a national academic journal sponsored by Peking University, and its former name is Journal of Beijing Medical University. The coverage of the Journal includes basic medical sciences, clinical medicine, oral medicine, surgery, public health and epidemiology, pharmacology and pharmacy. Over the last few years, the Journal has published articles and reports covering major topics in the different special issues (e.g. research on disease genome, theory of drug withdrawal, mechanism and prevention of cardiovascular and cerebrovascular diseases, stomatology, orthopaedic, public health, urology and reproductive medicine). All the topics involve latest advances in medical sciences, hot topics in specific specialties, and prevention and treatment of major diseases. The Journal has been indexed and abstracted by PubMed Central (PMC), MEDLINE/PubMed, EBSCO, Embase, Scopus, Chemical Abstracts (CA), Western Pacific Region Index Medicus (WPR), JSTChina, and almost all the Chinese sciences and technical index systems, including Chinese Science and Technology Paper Citation Database (CSTPCD), Chinese Science Citation Database (CSCD), China BioMedical Bibliographic Database (CBM), CMCI, Chinese Biological Abstracts, China National Academic Magazine Data-Base (CNKI), Wanfang Data (ChinaInfo), etc.
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