What question did this study set out to answer?

This study aims to identify specific patterns of comorbidity in patients with depression and their associated immune and metabolic differences.

Comorbidity patterns and immune-metabolic differences in patients with acute depressive episodes

View Full Paper

Ask AI

Bookmark

Authors

Retrospective cross-sectional study identifies immune-metabolic disparities in comorbid depression, suggesting improved clinical management.

This study aims to identify specific patterns of comorbidity in patients with depression and their associated immune and metabolic differences.
Retrospective cross-sectional analysis of electronic medical records from 7541 inpatients with depressive episodes.
Utilized Latent Class Analysis (LCA) to identify comorbidity patterns based on 30 common conditions.
Applied generalized linear models to assess 12 peripheral blood indicators across identified patterns.
71.81% of the population exhibited comorbidities, identifying four distinct comorbidity classes.
The metabolic abnormalities cluster showed significantly elevated SII (β = 92.697, P < 0.001).
The anxiety-only cluster had downregulated immune markers, including a significant decrease in white blood cell count (β = −0.266, P < 0.001).

Chen et al. (2026) studied this question.

View Full Paper

Ask AI

Bookmark

Retrospective cross-sectional study identifies immune-metabolic disparities in comorbid depression, suggesting improved clinical management.