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The Value of Escitalopram Combined with Magnesium Valproate in the Treatment of Depression Patients |
YANG Jian, LIU Zhe, FENG Yuhong |
Department of Psychiatry, Yan'an University Xianyang Hospital, Xianyang Shaanxi 712000 |
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Abstract 【Objective】 To explore the efficacy of escitalopram combined with magnesium valproate in the treatment of depression. 【Methods】 A total of 84 depression patients who were treated at Xianyang Hospital of Yan'an University were randomly divided into two groups, with 42 patients in each group.The control group was treated with oral escitalopram, while the observation group was treated with a combination of escitalopram and magnesium valproate. We compared the treatment efficacy, hamilton depression scale (HAMD) scores, hamilton anxiety scale (HAMA) scores, wisconsin card sorting test (WCST) scores, and levels of 5-hydroxytryptamine (5-HT) and norepinephrine (NE) between two groups before and after treatment, as well as the occurrence of adverse reactions after treatment. 【Results】 The total effective rate of the observation group was 76.19%(32/42), significantly higher than the control group's 54.76%(23/42), and the difference was statistically significant (P<0.05); After treatment, the HAMD and HAMA scores of both groups were lower than before treatment (P<0.05), and the observation group was lower than the control group (P<0.05); After treatment, the levels of 5-HT and NE in both groups were higher than before treatment (P<0.05), and the observation group was higher than the control group (P<0.05); After treatment, the WCST scores in both groups were significantly better than before treatment (P<0.05), and the observation group was better than the control group (P<0.05); There was no statistically significant difference in the total incidence of adverse reactions between the two groups (P>0.05).【Conclusion】 Escitalopram combined with magnesium valproate can effectively alleviate depression and anxiety in patients with depression, improve cognitive function, and have good safety.
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Received: 30 December 2022
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