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Logistic regression models of cytokines in differentiating vitreoretinal lymphoma from uveitis 期刊论文

编号：

C674DC1A750CFFA6E5020137364075B5
作者：

Tian, Sha^[1,2];Chen, Kun^[3];Xiao, Jianjiang^[1];Zhou, Xian^[1];Shi, Huimin(史慧民)^[1]Li, Yi^[1];Huang, Hehe^[1];Ma, Yanchun^[3];Chen, Bobin(陈波斌)^[4]Wang, Qingping^[1];Guan, Ming^[3];
语种：

英文
期刊：

JOURNAL OF CLINICAL LABORATORY ANALYSIS ISSN：0887-8013 2022 年 36 卷 10 期 ; OCT
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关键词：

IL-6 IL-10 ISOLD logistic regression models uveitis vitreoretinal lymphoma
摘要：

Background Vitreoretinal lymphoma (VRL) can commonly masquerade as chronic idiopathic uveitis due to its nonspecific clinical presentation. Thus, its early diagnosis is difficult. In this study, new logistic regression models were used to classify VRL and uveitis. Additionally, the diagnostic performance of interleukin (IL)-10, the IL-10/IL-6, and the Interleukin Score for IntraOcular Lymphoma Diagnosis (ISOLD) are evaluated. Methods Sixty-nine aqueous humors (AH) (46 VRL, 23 uveitis) and 65 vitreous humors (VH) (49 VRL, 16 uveitis) were collected from a single-center retrospective cohort. Logistic regression models were conducted based on IL-6 and IL-10. The cut-off values, area under the receiver operating characteristic curve (ROC) curve (AUC), sensitivity and specificity of IL-10, the IL-10/IL-6, the ISOLD, and the models were calculated from the ROC. Furthermore, Spearman''s rank correlation analysis was performed to determine cytokine levels in VH and AH. Results We redefined the cut-off values of IL-10, the IL-10/IL-6, the ISOLD, and the logistic regression models. In AH, the AUC values of IL-10, ISOLD, IL10/IL6, and the model were 0.91, 0.953, 0.952, and 0.967. In VH, they were 0.93, 0.95, 0.954, and 0.954, respectively. IL-6 (r = 0.7844) and IL-10 (r = 0.8506) in AH and VH showed a strong correlation. Conclusions IL-6 and IL-10 levels were introduced into new logistic regression models. The diagnostic efficacy of the models improved compared to the indicators mentioned above among Chinese patients. Additionally, the models could predict the probability of VRL more accurately. A strong correlation of cytokine levels showed the great potential of AH as prioritized auxiliary diagnostic for VRL.
推荐引用方式
GB/T 7714：

Tian Sha,Chen Kun,Xiao Jianjiang, et al. Logistic regression models of cytokines in differentiating vitreoretinal lymphoma from uveitis [J].JOURNAL OF CLINICAL LABORATORY ANALYSIS,2022,36(10).
APA：

Tian Sha,Chen Kun,Xiao Jianjiang,Zhou Xian,&Guan Ming.(2022).Logistic regression models of cytokines in differentiating vitreoretinal lymphoma from uveitis .JOURNAL OF CLINICAL LABORATORY ANALYSIS,36(10).
MLA：

Tian Sha, et al. "Logistic regression models of cytokines in differentiating vitreoretinal lymphoma from uveitis" .JOURNAL OF CLINICAL LABORATORY ANALYSIS 36,10(2022).
入库时间：

2023/12/2 0:00:00
更新时间：

2023/12/2 0:00:00

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