التفاصيل البيبلوغرافية
| العنوان: |
基于炎性细胞因子构建的Fisher判别函数 对抑郁障碍诊断的辅助作用. (Chinese) |
| Alternate Title: |
Auxiliary role of Fisher discriminant function based on inflammatory cytokines in diagnosis of depressive disorder. (English) |
| المؤلفون: |
贾海玲, 杨永涛, 崔利军, 郭艳梅, 严保平, 崔 伟, 孙秀丽 |
| المصدر: |
Sichuan Mental Health; 2024, Vol. 37 Issue 4, p312-316, 5p |
| Abstract (English): |
Background Currently, the diagnosis of depressive disorder relies on symptomatology, which is greatly influenced by subjective factors such as clinicians' experience. Finding more accurate and reliable quantitative diagnostic methods is currently an urgent problem. Objective To explore the value of Fisher discriminant function based on inflammatory cytokines in the diagnosis of depressive disorder, so as to provide references for clinical diagnosis. Methods A total of 136 patients diagnosed with depressive disorder according to the Diagnostic and Statistical Manual of Mental Disorders, fifth edition (DSM-5) criteria, who underwent inpatient treatment at Hebei Mental Health Center from April 2020 to November 2020, were enrolled as study group. 67 healthy participants matched for age and gender, was recruited during the same period. Serum levels of inflammatory cytokine were measured using enzyme-linked immunosorbent assay (ELISA). Fisher discriminant model was employed to establish a discriminant function for inflammatory cytokines exhibiting significant statistical differences between study group and control group, which was then validated. Results The levels of pro-inflammatory cytokines interleukin-1β (IL-1β), interleukin-6 (IL-6), interferon-γ (INF-γ) and tumor necrosis factor-α (TNF-α) were higher in the study group compared with control group, with statistically significant differences (U=9. 115，5. 239，4. 431，5. 428，P<0. 01). Conversely, the levels of anti-inflammatory cytokines interleukin-4 (IL-4), interleukin-10 (IL-10) and interleukin-13 (IL-13) were lower in the study group compared with control group, with statistically significant differences (U=7. 398，7. 331，7. 614，P<0. 01). The retrospective test in Fisher discriminant function achieved a correct discrimination rate of 89. 66%, and the cross validation achieved a correct discrimination rate of 88. 67%. Conclusion The Fisher discriminant function developed in this study may serve as a valuable auxiliary method in the diagnosis of depressive disorder. [ABSTRACT FROM AUTHOR] |
| Abstract (Chinese): |
背景 目前, 基于症状学的抑郁障碍诊断方式受临床医生经验的主观因素影响较大。寻找更加准确可靠的定量 诊断方法是当前亟待解决的问题。目的 探讨基于炎性细胞因子构建的Fisher判别函数在抑郁障碍诊断中的价值, 为抑郁障碍 的诊断提供参考。方法 选取2020年4月—11月在河北省精神卫生中心住院治疗的、符合《精神障碍诊断与统计手册 (第5版) 》(DSM-5) 抑郁障碍诊断标准的 136 例患者为研究组, 同期招募与研究组年龄和性别相匹配的 67 例健康被试为对照组。使 用酶联免疫吸附试验 (ELISA) 检测受试者血清炎性细胞因子水平。采用 Fisher 判别模型对研究组与对照组存在统计学差 异的炎性细胞因子建立判别函数并进行验证。结果 研究组促炎细胞因子白细胞介素 1β (IL-1β)、白细胞介素 6 (IL-6)、 干扰素 γ (INF-γ) 、肿瘤坏死因子 α (TNF-α) 水平均高于对照组, 差异均有统计学意义 (U=9. 115、5. 239、4. 431、5. 428, P 均< 0. 01)；研究组抗炎细胞因子白细胞介素4 (IL-4)、白细胞介素10 (IL-10)、白细胞介素13 (IL-13) 水平均低于对照组, 差异均有 统计学意义 (U=7. 398、7. 331、7. 614, P均<0. 01)。Fisher判别函数回代性检验正确判别率为89. 66%, 交叉验证正确判别率为 88. 67%。结论 本文构建的Fisher判别函数对抑郁障碍的诊断可能具有较好的辅助作用。 [ABSTRACT FROM AUTHOR] |
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| قاعدة البيانات: |
Complementary Index |