Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2025 Jul 21.
doi: 10.1007/s10067-025-07586-7. Online ahead of print.

Subtyping depression in the rheumatic diseases by cluster analysis

Affiliations

Subtyping depression in the rheumatic diseases by cluster analysis

Yaqi Zhao et al. Clin Rheumatol. .

Abstract

Objective: Major depressive disorder (MDD) and rheumatic diseases (RD) interact to exacerbate disease outcomes. The purpose of this study was to assess the prevalence and associated factors of depression in RD patients in order to identify independent predictors of mental health disorders risk and apply cluster analysis to identify homogeneous groups in a population of approximately 47 patients with RD-MDD to achieve precise treatment and early prevention of complications.

Methods: In total, 205 RD patients were included in this study. We used the Profile of Mood State (POMS) and Patient Health Questionnaire-9 (PHQ-9) to assess the patients' state of mind. A cluster analysis was applied according to six clinical and serological variables to define different subgroups of patients.

Results: The rate of depression in RD patients in our study was 22.9%. Sex (female), disease duration, and disease activity are risk factors for the development of depression. Albumin is a protective factor for MDD. RD-MDD patients were clustered in two groups. Cluster 1 (n = 30, 63.8%): patients were of older age, lower education and income levels, low disease activity, and mild depressive symptoms. Cluster 2 (n = 17, 36.2%): Young women with higher education and income levels, high disease activity, and more severe depressive symptoms.

Conclusion: Our findings provide evidence indicating that RD-MDD presents varying clinical phenotypes and the treatment varies accordingly, suggesting the need for individualized treatment. Key Points • Depression is often comorbid in patients with rheumatic diseases. The two interact and aggravate the patient's condition. • The rate of depression in RD patients in our study was 22.9%. Sex (female), disease duration, and disease activity are risk factors for the development of depression. Albumin is a protective factor for MDD. • RD-MDD patients were clustered in two groups through cluster analysis in order to guide individualized treatment.

Keywords: Major depressive disorder; Rheumatoid arthritis; Rheumatological diseases; Spondyloarthritis; Systemic lupus erythematosus.

PubMed Disclaimer

Conflict of interest statement

Declarations. Disclosures: None. Ethics approval: The study was conducted according to the guidelines of the Declaration of Helsinki and approved by the Ethics Committee of Shandong Provincial Hospital, Shandong First Medical University (NSFC:NO.2022–413).All participants signed the informed consent form. Consent to participate: All patients provided written informed consent to participate in the study and for their data to be published. Human ethics and consent to participate: Participant consent has been obtained and an informed consent form has been signed.

Similar articles

References

    1. Malhi GS, Mann JJ (2018) Depression. Lancet 392(10161):2299–2312. https://doi.org/10.1016/S0140-6736(18)31948-2 - DOI - PubMed
    1. Lim GY, Tam WW, Lu Y, Ho CS, Zhang MW, Ho RC (2018) Prevalence of depression in the community from 30 countries between 1994 and 2014. Sci Rep 8(1):2861. https://doi.org/10.1038/s41598-018-21243-x - DOI - PubMed - PMC
    1. Parkinson JT, Foley ÉM, Jadon DR, Khandaker GM (2020) Depression in patients with spondyloarthritis: prevalence, incidence, risk factors, mechanisms and management. Ther Adv Musculoskelet Dis 12:1759720X20970028. https://doi.org/10.1177/1759720X20970028
    1. König H, König HH, Konnopka A (2019) The excess costs of depression: a systematic review and meta-analysis. Epidemiol Psychiatr Sci 5(29):e30. https://doi.org/10.1017/S2045796019000180 - DOI
    1. Beurel E, Toups M, Nemeroff CB (2020) The bidirectional relationship of depression and inflammation: double trouble. Neuron 107(2):234–256. https://doi.org/10.1016/j.neuron.2020.06.002 - DOI - PubMed - PMC

LinkOut - more resources