Predictors of neurocognitive impairment at 2 years after a first-episode major depressive disorder

详细信息    查看全文

• 作者：Chuan-zheng Gu^a ; ^b ; ¹ ; ^{guchuanzheng120@163.com" class="auth_mail" title="E-mail the corresponding author} ; Hui-li He^a ; ^b ; ¹ ; Hui-feng Duan^c ; Zhong-hua Su^d ; ^e ; Hong Chen^d ; ^e ; Jing-li Gan^c ; ^{cco91@163.com" class="auth_mail" title="E-mail the corresponding author}
• 刊名：Comprehensive Psychiatry
• 出版年：2016
• 出版时间：July 2016
• 年：2016
• 卷：68
• 期：Complete
• 页码：24-33
• 全文大小：632 K

文摘

Neurocognitive impairment is a contributor to major depressive disorder (MDD). However, MDD patients show great variability in the level and course of deficits. The present longitudinal study was to identify predictors of neurocognitive impairment in first-episode MDD patients.

Methods

Neurocognitive performance was analyzed in a cohort of 100 patients at 2 years after a first-episode MDD. Subgroups, deficit type vs. non-deficit type, were compared on baseline clinical, neuropsychological, premorbid and sociodemographic characteristics. The analysis was performed using the multivariate logistic regression to obtain a model for neurocognitive impairment determination. The predicted probabilities of multivariate logistic regression were analyzed using receiver operating characteristic (ROC) curve.

Results

Fifty-two percent of MDD participants presented general neurocognitive impairment. The regression analyses demonstrated that clinical and sociodemographic characteristics were not predictive variables. A model composed of processing speed, executive function, and attention, dexterity correctly classified 85.8% of the MDD patients with deficit type. ROC curve indicated that the changes of these three cognitions could identify MDD with deficit type from MDD with non-deficit type. In addition, ROC curve also indicated that processing speed and executive function could identify MDD from CN subjects. Finally, processing speed performance was negatively correlated with Hamilton Depression Scale scores in both MDD with deficit and non-deficit type.

Conclusion

The present study provides novel insights on frequency and neurocognitive profile of subtypes of patients showing impairment. Our results suggest that processing speed impairment is a trait dimension of the disorder related to specific cognitive dysfunctions and the severity of depression.