Sensitivity and specificity of machine learning classifiers for glaucoma diagnosis using Spectral Domain OCT and standard automated perimetry.

Purpose: To evaluate the sensitivity and specificity of machine learning classifiers (MLCs) for glaucoma diagnosis using Spectral Domain OCT (SD-OCT) and standard automated perimetry (SAP).

Methods: Observational cross-sectional study. Sixty two glaucoma patients and 48 healthy individuals were included.

Sensitivity and specificity of machine learning classifiers and spectral domain OCT for the diagnosis of glaucoma.

Purpose. To investigate the sensitivity and specificity of machine learning classifiers (MLC) and spectral domain optical coherence tomography (SD-OCT) for the diagnosis of glaucoma. Methods.

Sex-specific hemodynamic and non-hemodynamic determinants of aortic root size in hypertensive subjects with left ventricular hypertrophy.

Aortic root (AoR) dilatation is more frequently observed in hypertensive individuals and is independently associated with left ventricular (LV) hypertrophy. Although the LV structure has sex-specific predictors, it remains unknown whether there are gender-related differences in the determinants of AoR size. We carried out a cross-sectional analysis of clinical, laboratory, anthropometric, funduscopic and echocardiographic features of 438 hypertensive patients with LV hypertrophy (266 women and 172 men).

[Profile of medical students from the Universidade Estadual Paulista-UNESP--Botucatu, who wear contact lenses].

Purpose: To analyze the ametropy, way of acquisition, the care and complications related to contact lens wear among medical students from Faculdade de Medicina de Botucatu da Universidade Estadual Paulista-UNESP--Botucatu (SP).

Methods: Questionnaire applied to students from the 1st to the 6th year of the Medical school of the Faculdade de Medicina de Botucatu da Universidade Estadual Paulista-UNESP--Botucatu (SP), forming an analytical cross-sectional survey.

Results: 27.