哈姆德
汉密尔顿焦虑量表
医学
临床全球印象
重性抑郁障碍
电针
5-羟色胺再摄取抑制剂
耐受性
评定量表
焦虑
内科学
汉密尔顿抑郁量表
萧条(经济学)
不利影响
抗抑郁药
精神科
心理学
针灸科
安慰剂
认知
发展心理学
替代医学
宏观经济学
病理
经济
作者
Xinjing Yang,Weijun Gong,Xuehong Ma,Sihan Wang,Xueqin Wang,Tianwei Guo,Zhuo Guo,Yang Sun,Jing Li,Bingcong Zhao,Ya Tu
标识
DOI:10.1136/acupmed-2017-011412
摘要
BACKGROUND: There is evidence supporting electroacupuncture (EA) for the treatment of major depressive disorder (MDD), but its characteristics have not been well investigated. OBJECTIVE: To investigate the effectiveness and characteristics of EA in MDD. METHODS: 60 subjects were enrolled-35 in the EA group and 25 in the selective serotonin reuptake inhibitor (SSRI) group based on their preferences-in an 8-week non-randomised controlled clinical trial. The 24-item Hamilton depression rating scale (HAMD-24) and clinical global impression (CGI) were adopted for clinical assessment. The Columbia suicide severity rating scale and adverse event form were used to measure safety and tolerability. The characteristics of EA and SSRIs were compared by analysing seven factors of the HAMD-24. RESULTS: There was no significant difference between the two groups in terms of HAMD-24 response rate after intervention (P>0.05). Patients treated with EA demonstrated a significant reduction in CGI scores (P<0.05) with fewer adverse events compared with SSRIs (P<0.01). Although HAMD-24 factor analysis showed both EA and SSRIs could improve factor scores in cognitive impairment, diurnal variation, retardation, sleep disturbance, anxiety/somatisation and feelings of despair, EA showed greater improvement in anxiety/somatisation and feelings of despair than SSRIs (P<0.05). CONCLUSIONS: There was no significant difference between EA and SSRIs in the treatment of MDD with respect to our primary outcome. However, as a potential therapy for MDD, EA appeared to result in greater symptom improvement than SSRI treatment with respect to anxiety/somatisation and feelings of despair. The results of this secondary analysis should be interpreted cautiously given the inherent issues of multiple testing.
科研通智能强力驱动
Strongly Powered by AbleSci AI