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Descemet Stripping Automated Endothelial Keratoplasty in Thick Corneas.
Li, Chendi; Wu, Wenyu; Xiao, Gege; Jhanji, Vishal; Hong, Jing; Feng, Yun.
Afiliación
  • Li C; Department of Ophthalmology, Peking University Third Hospital, Beijing 100191, China.
  • Wu W; Beijing Key Laboratory of Restoration of Damaged Ocular Nerve, Peking University Third Hospital, Beijing 100191, China.
  • Xiao G; Department of Ophthalmology, Peking University Third Hospital, Beijing 100191, China.
  • Jhanji V; Beijing Key Laboratory of Restoration of Damaged Ocular Nerve, Peking University Third Hospital, Beijing 100191, China.
  • Hong J; Department of Ophthalmology, Peking University Third Hospital, Beijing 100191, China.
  • Feng Y; Beijing Key Laboratory of Restoration of Damaged Ocular Nerve, Peking University Third Hospital, Beijing 100191, China.
J Clin Med ; 11(19)2022 Sep 23.
Article en En | MEDLINE | ID: mdl-36233466
Purpose: To evaluate the outcomes of Descemet's Stripping Automated Endothelial Keratoplasty (DSAEK) in corneas > 820 microns in thickness. Methods: This retrospective study included 30 eyes of 30 patients who underwent DSAEK. Endothelial cell destiny (ECD) and corneal thickness were recorded before surgery and at 1 and 12 months postoperatively. Patients were divided into two groups (≤ 820 microns and > 820 microns) based on median preoperative corneal thickness. Linear regression analyses were used to investigate the correlations between ECD and preoperative corneal thickness. Results: Recipient corneal thickness (RCT) and postoperative central cornea thickness had a statistically significant difference 1 month after surgery (p = 0.03, p = 0.08, respectively). BCVA and ECD did not have a statistical difference in the two groups at 1 month and 12 months after DSAEK. Conclusions: BCVA, ECD and corneal thickness were similar at 12 months after DSAEK in thick corneas. DSAEK is a viable surgical option in thick corneas.
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Texto completo: 1 Base de datos: MEDLINE Tipo de estudio: Observational_studies Idioma: En Revista: J Clin Med Año: 2022 Tipo del documento: Article

Texto completo: 1 Base de datos: MEDLINE Tipo de estudio: Observational_studies Idioma: En Revista: J Clin Med Año: 2022 Tipo del documento: Article