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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

贾海玲 杨永涛 崔利军 郭艳梅 严保平 崔伟 孙秀丽

四川精神卫生2024,Vol.37Issue(4):312-316,5.
四川精神卫生2024,Vol.37Issue(4):312-316,5.DOI:10.11886/scjsws20230815004

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

贾海玲 1杨永涛 2崔利军 1郭艳梅 1严保平 1崔伟 1孙秀丽1

作者信息

  • 1. 河北省精神卫生中心,河北 保定 071000
  • 2. 珠海市慢性病防治中心,广东 珠海 519000
  • 折叠

摘要

Abstract

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.

关键词

抑郁障碍/炎性细胞因子/Fisher判别函数/诊断

Key words

Depressive disorder/Inflammatory cytokines/Fisher discriminant function/Diagnosis

分类

临床医学

引用本文复制引用

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,2024,37(4):312-316,5.

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) Funded by Hebei Provincial Department of Finance and Hebei Provincial Health Commission Government funded Clinical Medicine Excellent Talents Project(number,361014) (项目名称:精神卫生学学科组,项目编号:361014)

四川精神卫生

OACSTPCD

1007-3256

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