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Receiver operating characteristic (ROC) curve for the multivariate logistic regression analysis.

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posted on 2023-06-08, 17:34 authored by Marta Ibarz Barberá, Jose Luis Hernández-Verdejo, Jean Bragard, Laura Morales-Fernández, Lola Rodríguez-Carrillo, Fátima Martínez Galdón, Pedro Tañá, Miguel A. Teus

AUC: Area under the curve; Sensitivity, proportion of responders which are correctly identified; Specificity, proportion of non-responders which are correctly identified. Variables included in the model: Basal IOP, postoperative IOP, number of hypotensive medications, bleb wall´s thickness, EFC height, diameter and total filtering surface, total height of the bleb (EFC height + bleb wall´s thickness), All the postoperative variables were included at 1 week, 1 month, 6 months and 1 year). Only the independent variables, higher baseline IOP and lower IOP at one year, were significant predictive factors of complete surgical success one year after surgery. (ODDs ratio = 1.68, AUC of the ROC curve > 0.95).