Publications by authors named "Kia Bayat"
Machine learning can be used to identify risk factors associated with graft rejection after corneal transplantation for keratoconus. The study included all keratoconus eyes that underwent primary corneal transplantation from 1994 to 2021. Data relating to the recipient, donor, surgery, and postoperative course that might be associated with the occurrence of a graft rejection reaction were compiled.
View Article and Find Full Text PDFObjective: To evaluate longitudinal changes in peripapillary vessel density (VD) following coronavirus disease 2019 (COVID-19) using optical coherence tomography angiography.
Methods: As part of a prospective longitudinal observational study, we studied healthy individuals with a history of mild COVID-19 confirmed via real-time polymerase chain reaction. After recovery, we used the Optovue RTVue XR Avanti machine to perform optic nerve head (ONH) imaging.
Purpose: To evaluate the choroidal structure in patients with inherited retinal diseases (IRDs) by investigating the choroidal vascularity index (CVI).
Methods: The present study was conducted on 113 IRD patients and 113 sex- and age-matched healthy individuals. Patients' data was extracted from the Iranian National Registry for IRDs (IRDReg®).
Purpose: To compare visual acuity, refractive error, and complications after penetrating keratoplasty (PK) vs deep anterior lamellar keratoplasty (DALK) in the management of advanced stage of keratoconus.
Design: Retrospective, comparative, interventional study.
Methods: This study enrolled 411 consecutive keratoconus eyes with preoperative mean keratometry ≥60 diopters (D) that received either PK (218 eyes) or DALK (193 eyes).