| 贾海玲,杨永涛,崔利军,郭艳梅,严保平,崔伟,孙秀丽.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[J].四川精神卫生杂志,2024,37(4):312-316.Jia Hailing,Yang Yongtao,Cui Lijun,Guo Yanmei,Yan Baoping,Cui Wei,Sun Xiuli,Auxiliary role of Fisher discriminant function based on inflammatory cytokines in diagnosis of depressive disorder[J].SICHUAN MENTAL HEALTH,2024,37(4):312-316 |
| 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 |
| Auxiliary role of Fisher discriminant function based on inflammatory cytokines in diagnosis of depressive disorder |
| 投稿时间：2023-08-15 |
| DOI：10.11886/scjsws20230815004 |
| 中文关键词: 抑郁障碍 炎性细胞因子 Fisher判别函数 诊断 |
| 英文关键词:Depressive disorder Inflammatory cytokines Fisher discriminant function Diagnosis |
| 基金项目:河北省财政厅、河北省卫生健康委政府资助临床医学优秀人才培养项目（项目名称：精神卫生学学科组，项目编号：361014） |
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| 中文摘要: |
| 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。 |
| 英文摘要: |
| 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. ［Funded by Hebei Provincial Department of Finance and Hebei Provincial Health Commission Government funded Clinical Medicine Excellent Talents Project （number， 361014）］ |
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