A column chart study of cognitive deficits in postpartum depression patients following pharmacologic therapy
Abstract
Objective: to construct a column-line graph prediction model of cognitive impairment in postpartum depression patients treated with medication and evaluate its efficacy. Methods: 120 patients with postpartum depression admitted to our hospital between August 2023 and June 2024 were selected as the study subjects, and were categorized into 81 cases in the non-occurrence group and 39 cases in the occurrence group by MoCA score. After unifactorial and multifactorial logistic regression analyses, the influencing factors of cognitive impairment were screened out, and a column-line graphical model was constructed to assess their predictive efficacy. Results: The results of univariate analysis showed comparisons of literacy, intraoperative bleeding, alcohol consumption, smoking, SSRS score, DA, E1, E2, BDNF, 5-HT, PRL, FSH, and LH (P<0.05), and multifactorial analysis showed that all of the above factors were risk factors for cognitive dysfunction, and the construction of the column-line diagram showed a significant efficacy with a sensitivity and accuracy of more than 80%. Conclusion: Column line plots predicted the risk of cognitive dysfunction after medication in patients with postpartum depression with significant efficacy.
Copyright (c) 2025 jing Chai, Ye Di, Jingjing Cui, Longjie Yuan, Baibai Wang, Luobin Ding

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