Logistic Regression Classification of Primary Vitreoretinal Lymphoma versus Uveitis by Interleukin 6 and Interleukin 10 Levels
Autor: | Maggie M Wei, Jared E. Knickelbein, H. Nida Sen, Chi-Chao Chan, Ian Y L Yeung, Karen R Armbrust, David Kuo, Aaron Y. Lee |
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Rok vydání: | 2020 |
Předmět: |
0303 health sciences
medicine.medical_specialty Receiver operating characteristic business.industry Interleukin Retrospective cohort study medicine.disease Logistic regression 03 medical and health sciences Ophthalmology 0302 clinical medicine Internal medicine Cohort 030221 ophthalmology & optometry medicine Mann–Whitney U test Intraocular lymphoma business Uveitis 030304 developmental biology |
Zdroj: | Ophthalmology. 127:956-962 |
ISSN: | 0161-6420 |
DOI: | 10.1016/j.ophtha.2020.01.042 |
Popis: | Purpose To assess the diagnostic performance and generalizability of logistic regression in classifying primary vitreoretinal lymphoma (PVRL) versus uveitis from intraocular cytokine levels in a single-center retrospective cohort, comparing a logistic regression model and previously published Interleukin Score for Intraocular Lymphoma Diagnosis (ISOLD) scores against the interleukin 10 (IL-10)-to-interleukin 6 (IL-6) ratio. Design Retrospective cohort study. Participants Patient histories, pathology reports, and intraocular cytokine levels from 2339 patient entries in the National Eye Institute Histopathology Core database. Methods Patient diagnoses of PVRL versus uveitis and associated aqueous or vitreous IL-6 and IL-10 levels were collected retrospectively. From these data, cytokine levels were compared between diagnoses with the Mann–Whitney U test. A logistic regression model was trained to classify PVRL versus uveitis from aqueous and vitreous IL-6 and IL-10 samples and compared with ISOLD scores and IL-10-to-IL-6 ratios. Main Outcome Measures Area under the receiver operating characteristic curve (AUC) for each classifier and sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) at the optimal cutoff (maximal Youden index) for each classifier. Results Seventy-seven lymphoma patients (10 aqueous samples, 67 vitreous samples) and 84 uveitis patients (19 aqueous samples, 65 vitreous samples) treated between October 5, 1999, and September 16, 2015, were included. Interleukin 6 levels were higher and IL-10 levels were lower in uveitis patients compared with lymphoma patients (P Conclusions The accuracy of the logistic regression model and generalizability of the ISOLD score to an independent patient cohort suggest that intraocular cytokine analysis by logistic regression may be a promising adjunct to cytopathologic analysis, the gold standard, for the early diagnosis of primary vitreoretinal lymphoma. Further validation studies are merited. |
Databáze: | OpenAIRE |
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