Meta-analysis of influence factor of post-stroke depression
Zhang Yaheng
Bai Shufeng
Yan Junqiang
Abstract：Objective? To explore the risk factors related to stroke and provide evidence for early diagnosis and prevention of post-stroke depression. Methods? An extensive search for related literature from the Wanfang data, CNKI, VIP, Medline, PubMed, Embase and the Cochrane Library was performed. The odds ratio (OR) of related factors in the literature and the confidence interval (95%CI) were further extracted. The role of each factor in post-stroke depression was evaluated by combining OR and 95% CI. Egger's test and sensitivity analysis was used to evaluated the risk of bias and the stability of the results. Results? The results of Meta analysis showed that the risk factors for post-stroke depression included basal nuclei lesion (OR=2.83), frontal lobe lesion(OR=2.47), multiple lesions (OR=2.76), high modified Rankin Scale (mRS) score (OR=2.17), lacked family support (OR=1.48), high-sensitivity C-reactive protein (OR=1.35), female (OR=1.66), high homocysteine (OR=1.17), high leptin (OR=1.16), high body mass index (OR=1.16), age (OR=1.07). While high education level (OR=0.91) may have a protective effect on post-stroke depression. Conclusions? Basal nuclei lesion, multiple lesions, frontal lobe lesion, high mRS score, lacked family support, high-sensitivity c-reactive protein, female, high homocysteine, high leptin, body mass index, age are all risk factors for post-stroke depression, while education level may have protective effect on post-stroke depression.
Keywords：Stroke? Depression? Influence factor? Meta-analysis
Publication Date：2019-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：6( 33-38 )