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Higher Fasting C-peptide is Associated with Post-stroke Depression: a Multicenter Prospective Cohort Study

Overview
Journal BMC Neurol
Publisher Biomed Central
Specialty Neurology
Date 2021 Oct 5
PMID 34607565
Citations 2
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Abstract

Background: Fasting C-peptide (FCP) has been shown to play an important role in the pathophysiology of mood disorders including depression and schizophrenia, but it is unknown whether it also predicts post-stroke depression (PSD). This study examined the association between FCP and PSD at 6 months after acute ischemic-stroke onset among Chinese subjects.

Methods: A total of 656 stroke patients were consecutively recruited from three hospitals of Wuhan city, Hubei province. Clinical and laboratory data were collected on admission. PSD status was evaluated by DSM-V criteria and 17-item Hamilton Rating Scale for Depression (HAMD-17) at 6 months after acute ischemic stroke. The χ2-test, Mann-Whitney U-test, and t-test were used to check for statistical significance. Multivariate logistic regression model was used to explore independent predictor of PSD.

Results: In the univariate analysis, significant differences were found between the PSD and non-PSD groups in terms of FCP level (p = 0.009). After multivariate adjustments, FCP remained a significant independent predictor of PSD, with an adjusted odds ratio of 1.179 (95%CI: 1.040-1.337, p = 0.010).

Conclusions: Higher FCP levels on admission were found to be associated with PSD at 6 months after acute ischemic-stroke onset. For stroke patients, doctors should pay attention to the baseline FCP for screening high-risk PSD in clinical practice.

Citing Articles

Nomogram including indirect bilirubin for the prediction of post-stroke depression at 3 months after mild acute ischemic stroke onset.

Wang Y, Sun W, Miao J, Zhu Z, Liang W, Qiu X Front Neurol. 2023; 14:1093146.

PMID: 36846136 PMC: 9945073. DOI: 10.3389/fneur.2023.1093146.


Higher Concentration of Adrenocorticotropic Hormone Predicts Post-Stroke Depression.

Wang Y, Wang H, Sun W, Miao J, Liang W, Qiu X Clin Interv Aging. 2022; 17:417-427.

PMID: 35411137 PMC: 8994598. DOI: 10.2147/CIA.S356361.

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