Abstract | PURPOSE: METHOD: Patient diagnoses and aqueous and vitreous levels of interleukin (IL)-6 and IL-10 were retrospectively extracted from a National Eye Institute Histopathology Core database and compared by Kruskal-Wallis and post hoc Dunn tests. A gradient-boosted decision tree classifier was trained to differentiate endophthalmitis versus uveitis and lymphoma from vitreous IL-6 and IL-10, vitreous IL-6 only, and aqueous IL-6 only data sets; and was tested with 80-20 train-test split and 3-fold cross-validation of the training set. RESULTS: Seven endophthalmitis, 29 lymphoma, and 49 uveitis patients were included. IL-6 was higher in endophthalmitis than uveitis (P = 0.0713 aqueous, 0.0014 vitreous) and lymphoma (P = 0.0032 aqueous, 0.0001 vitreous). IL-10 was significantly higher in lymphoma than uveitis (P = 0.0017 aqueous, 0.0014 vitreous). Three-fold cross validation demonstrated 95% ± 5%, 95% ± 4%, and 97% ± 5% predictive accuracy for vitreous IL-6 and IL-10, vitreous IL-6 only, and aqueous IL-6 only data sets. Upon validation with the testing set, vitreous IL-6 and IL-10 and aqueous IL-6 only data sets achieved 100% predictive accuracy and vitreous IL-6 only data achieved 93% predictive accuracy with 100% sensitivity, 92% specificity, and an area under the receiver operating characteristic curve (ROC/AUC) of 96%. CONCLUSIONS: With limited sample size, gradient boosting can differentiate endophthalmitis from uveitis and lymphoma by IL-6 and IL-10 with high sensitivity and specificity; however, a larger cohort is needed for further validation.
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Authors | David E Kuo, Maggie M Wei, Karen R Armbrust, Jared E Knickelbein, Ian Y L Yeung, Robert B Nussenblatt, Chi-Chao Chan, Hatice Nida Sen |
Journal | Journal of ocular pharmacology and therapeutics : the official journal of the Association for Ocular Pharmacology and Therapeutics
(J Ocul Pharmacol Ther)
Vol. 33
Issue 4
Pg. 319-324
(05 2017)
ISSN: 1557-7732 [Electronic] United States |
PMID | 28157416
(Publication Type: Journal Article, Research Support, N.I.H., Intramural, Research Support, Non-U.S. Gov't, Research Support, N.I.H., Extramural)
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Chemical References |
- IL10 protein, human
- IL6 protein, human
- Interleukin-6
- Water
- Interleukin-10
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Topics |
- Data Interpretation, Statistical
- Decision Trees
- Endophthalmitis
(diagnosis)
- Humans
- Interleukin-10
(analysis)
- Interleukin-6
(analysis)
- Lymphoma
(diagnosis)
- Machine Learning
- ROC Curve
- Uveitis
(diagnosis)
- Water
(chemistry)
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