Person:
Méndez Hernández, Carmen Dora

Loading...
Profile Picture
First Name
Carmen Dora
Last Name
Méndez Hernández
Affiliation
Universidad Complutense de Madrid
Faculty / Institute
Medicina
Department
Inmunología, Oftalmología y ORL
Area
Oftalmología
Identifiers
UCM identifierScopus Author IDDialnet ID

Search Results

Now showing 1 - 2 of 2
  • Item
    Charles Bonnet syndrome in a child with congenital glaucoma
    (Archivos de la Sociedad Española de Oftalmología, 2017) Santos Bueso, Enrique Miguel; Serrador García, Mercedes; Sáenz Francés, Federico; Méndez Hernández, Carmen Dora; Morales Fernández, Laura; Martínez De La Casa Fernández-Borrella, José María; García Feijoo, Julián; Porta-Etessam, Jesús
    Case report: The case is presented of a 12 year-old boy with congenital glaucoma and low visual acuity diagnosed with Charles Bonnet syndrome. This consisted of the acute onset of complex, repetitive, persistent, and with visual hallucinations (people, brooms and coffeemakers) of self-limited evolution without treatment. The patient was diagnosed with congenital glaucoma at 3 years of age, and subjected to a trabeculectomy in right eye, and trabeculectomy and keratoplasty in his left eye. Discussion: Charles Bonnet syndrome symptoms have been described in adults, but their presence in children is poorly reflected in literature, with unknown characteristics and prevalence.
  • Item
    Structural and biomechanical corneal differences between patients suffering from primary congenital glaucoma and healthy volunteers
    (Acta Ophthalmologica, 2017) Perucho González, Lucía; Sáenz Francés, Federico; Morales Fernández, Laura; Martínez De La Casa Fernández-Borrella, José María; Méndez Hernández, Carmen Dora; Santos Bueso, Enrique Miguel; Brookes, John L.; García Feijoo, Julián
    Purpose: To determine whether a set of ocular morphometric and biomechanical variables are able to discriminate between healthy volunteers and patients suffering from primary congenital glaucoma (PCG). Methods: Case-control study in which 66 patients with PCG and 94 age-matched healthy subjects were evaluated using ocular response analyser (ORA) to record corneal biomechanical properties. Topographic corneal variables were obtained using the Pentacam in both groups. To determine the ability to discern between both groups, a multivariate binary logistic model was constructed. The outcome was the diagnosis of PCG and the predictors; the corneal variables analysed along with their first-term interactions. Sensitivity and specificity of this model along with the area under the receiver characteristic operating curve (AUC of ROC) were determined. Results: The best model to discriminate between both groups included the following predictors: corneal hysteresis (CH), corneal resistance factor (CRF), posterior maximum elevation (PME), anterior maximum elevation (AME) and central corneal thickness (CCT). This model, for a cut-point of 50%, presents a sensitivity of 86.67%, a specificity of 86.89% and an AUC of the ROC curve of 93.16% [95% confidence interval (CI): 88.97-97.35]. The adjusted odds ratios of those predictors which showed a significant discriminating capacity were as follows: for CH, 0.27 (95% confidence interval: 0.15-0.46); for CRF, 2.13 (95% CI: 1.33-3.40); for PME, 1.06 (95% CI: 1.01-1.12); and for AME, 1.35 (95% CI: 1.10-1.66). Conclusion: Corneal hysteresis (CH), CRF, PME and AME are able to discern between patients with PCG and healthy controls. This fact suggests that there are structural and biomechanical differences between these groups.