Predictors of early-onset post-ischemic stroke depression: A cross-sectional study

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Abstract

Background: Post-stroke depression (PSD) seriously affects the rehabilitation of nerve function and quality of life. However, the pathogenesis of PSD is still not clear. This study aimed to investigate the demographic, clinical, and biochemical factors in patients with PSD. Methods: Patients with an acute ischemic stroke, who met the inclusion criteria at Shanghai Tenth People's Hospital from April 2016 to September 2016, were recruited for this study. The stroke severity was assessed using the National Institutes of Health Stroke Scale (NIHSS), and the mental state was assessed using Mini-Mental State Examination (MMSE), Hamilton Depression Scale (HAMD), and Hamilton Anxiety Scale (HAMA) at 1week of admission. The patients were divided into PSD and non-PSD groups. The demographic and clinical characteristics, as well as the biochemical factors, were compared between the two groups. A logistic regression analysis was performed to identify the risk factors for depression following stroke. Results: A total of 83 patients with acute ischemic stroke were recruited. Of these, 36 (43.4%) developed depression. The multivariate logistic regression analysis indicated that high NIHSS [odds ratio (OR): 1.84, 95% confidence interval (CI): 1.09-3.12, P=0.023] and high HAMD scores (OR: 2.38, 95% CI: 1.61-3.50, P<0.001) were independent risk predictors for PSD and so were lower dopamine level (OR: 0.64, 95% CI: 0.45-0.91, P=0.014), lower 5-hydroxytryptamine level (OR: 0.99, 95% CI: 0.98-1.00, P=0.046), higher tumor necrosis factor-α level (OR: 1.05, 95% CI: 1.00-1.09, P=0.044), and lower nerve growth factor level (OR: 0.06, 95% CI: 0.01-0.67, P=0.022). Conclusions: The identification of higher NIHSS scores, higher HAMD scores, lower dopamine level, lower 5-hydroxytryptamine level, higher tumor necrosis factor-α level, and lower nerve growth factor level might be useful for clinicians in recognizing and treating depression in patients after a stroke.

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Meng, G., Ma, X., Li, L., Tan, Y., Liu, X., Liu, X., & Zhao, Y. (2017). Predictors of early-onset post-ischemic stroke depression: A cross-sectional study. BMC Neurology, 17(1). https://doi.org/10.1186/s12883-017-0980-5

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