Evidence mapPaperPMID 41924704Full record

ArticleFrontiers in psychiatry2026

Integrating clinical proxies and metabolic data identifies and distinguishes high-risk depression subtypes in a real-world first-hospitalization cohort.

Huizeng Yang, Pinfan Gu, Di Liu, Xinxu Wang, Minghui Li, Xinyu Xu, Nannan Liu

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Article in Frontiers in psychiatry, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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7 authors.

Huizeng Yang *Department of Psychiatry, Tianjin Anding Hospital, Mental Health Center of Tianjin Medical University, Tianjin, China.
Pinfan Gu *School of Biomedical Engineering and Technology, Tianjin Medical University, Tianjin, China.
Di LiuDepartment of Information Technology, Tianjin Anding Hospital, Mental Health Center of Tianjin Medical University, Tianjin, China.
Xinxu WangInstitute of Mental Health, Tianjin Anding Hospital, Mental Health Center of Tianjin Medical University, Tianjin, China.
Minghui LiInstitute of Mental Health, Tianjin Anding Hospital, Mental Health Center of Tianjin Medical University, Tianjin, China.
Xinyu XuSchool of Biomedical Engineering and Technology, Tianjin Medical University, Tianjin, China.
Nannan LiuInstitute of Mental Health, Tianjin Anding Hospital, Mental Health Center of Tianjin Medical University, Tianjin, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Early identification of high-risk depression subtypes, specifically, recurrent (RD) and treatment-resistant (TRD) depression, is critical for improving long-term outcomes, yet practical stratification tools based on routinely available clinical and metabolic data remain limited. This study aimed to characterize these subtypes within a real-world, first-hospitalization cohort by integrating clinical proxy indicators with metabolic biomarkers. Methods: In a cross-sectional analysis of 1,436 first-hospitalized patients with first-episode depression (FED) and RD, we compared demographic, clinical, and metabolic characteristics. TRD was operationally defined by electroconvulsive therapy (ECT) exposure. Multivariable logistic regression identified factors associated with RD (vs. FED) and TRD (within RD). Results: Compared to FED patients, RD patients were older (47.1 vs. 42.4 years, p<0.001), had longer hospital stays, and exhibited a worse metabolic profile, including higher triglycerides (1.53 vs. 1.39 mmol/L, Conclusion: In first-hospitalized patients, RD is associated with adverse metabolic markers, while TRD is characterized by clinical indicators of failed adequate treatment and high acute risk. A prolonged illness duration in first-episode patients may signal significant treatment delay. An integrated assessment of these accessible clinical and metabolic proxies could facilitate early risk stratification in routine care.

Indexed as

clinical proxiesdepressive disorderfirst hospitalizationmetabolic biomarkersreal-world data

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PMID41924704
PMCPMC13035803

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.