{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,8]],"date-time":"2026-06-08T13:59:53Z","timestamp":1780927193350,"version":"3.54.1"},"reference-count":54,"publisher":"Wiley","issue":"2","license":[{"start":{"date-parts":[[2016,8,29]],"date-time":"2016-08-29T00:00:00Z","timestamp":1472428800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Acta Ophthalmologica"],"published-print":{"date-parts":[[2017,3]]},"abstract":"Abstract<\/jats:title>Purpose<\/jats:title>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<\/jats:styled-content>).<\/jats:p><\/jats:sec>Methods<\/jats:title>Case\u2013control study in which 66 patients with PCG<\/jats:styled-content> and 94 age\u2010matched healthy subjects were evaluated using ocular response analyser (ORA<\/jats:styled-content>) 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<\/jats:styled-content> and the predictors; the corneal variables analysed along with their first\u2010term interactions. Sensitivity and specificity of this model along with the area under the receiver characteristic operating curve (AUC<\/jats:styled-content> of ROC<\/jats:styled-content>) were determined.<\/jats:p><\/jats:sec>Results<\/jats:title>The best model to discriminate between both groups included the following predictors: corneal hysteresis (CH<\/jats:styled-content>), corneal resistance factor (CRF<\/jats:styled-content>), posterior maximum elevation (PME<\/jats:styled-content>), anterior maximum elevation (AME<\/jats:styled-content>) and central corneal thickness (CCT<\/jats:styled-content>). This model, for a cut\u2010point of 50%, presents a sensitivity of 86.67%, a specificity of 86.89% and an AUC<\/jats:styled-content> of the ROC<\/jats:styled-content> curve of 93.16% [95% confidence interval (CI)<\/jats:styled-content>: 88.97\u201397.35]. The adjusted odds ratios of those predictors which showed a significant discriminating capacity were as follows: for CH<\/jats:styled-content>, 0.27 (95% confidence interval: 0.15\u20130.46); for CRF<\/jats:styled-content>, 2.13 (95% CI<\/jats:styled-content>: 1.33\u20133.40); for PME<\/jats:styled-content>, 1.06 (95% CI<\/jats:styled-content>: 1.01\u20131.12); and for AME<\/jats:styled-content>, 1.35 (95% CI<\/jats:styled-content>: 1.10\u20131.66).<\/jats:p><\/jats:sec>Conclusion<\/jats:title>Corneal hysteresis (CH), CRF<\/jats:styled-content>, PME<\/jats:styled-content> and AME<\/jats:styled-content> are able to discern between patients with PCG<\/jats:styled-content> and healthy controls. This fact suggests that there are structural and biomechanical differences between these groups.<\/jats:p><\/jats:sec>","DOI":"10.1111\/aos.13212","type":"journal-article","created":{"date-parts":[[2016,8,30]],"date-time":"2016-08-30T04:36:45Z","timestamp":1472531805000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":10,"title":["Structural and biomechanical corneal differences between patients suffering from primary congenital glaucoma and healthy volunteers"],"prefix":"10.1111","volume":"95","author":[{"given":"Luc\u00eda","family":"Perucho\u2010Gonz\u00e1lez","sequence":"first","affiliation":[{"name":"Ophthalmology Department Clinico San Carlos University Hospital Sanitary Research Institute of the San Carlos Clinical Hospital Madrid Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Federico","family":"S\u00e1enz\u2010Franc\u00e9s","sequence":"additional","affiliation":[{"name":"Ophthalmology 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