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Natalie Cheung; Refractive outcomes after descemet stripping automated endothelial keratoplasty surgery associated with graft thickness. Invest. Ophthalmol. Vis. Sci. 201657(12):.
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© 2017 Association for Research in Vision and Ophthalmology.
To determine if graft thickness changes the refractive outcomes after descemet stripping automated endothelial keratoplasty (DSAEK)
This is a retrospective analysis of pseudophakic descemet stripping automated endothelial keratoplasty cases at Wills Eye Hospital from November 2010 to November 2014. 61 cases of 55 patients were included in the study. We measured manifest refraction preoperatively and postoperatively at 3 months and 6 months. In addition, we gathered information regarding graft diameter, preoperative pachymetry, donor endothelial cell count, donor age, preoperative vision and postoperative vision at 3 months and 6 months. We analyzed the correlation of refractive change with graft thickness as our primary outcome.
61 cases of 55 patients (30 women and 25 men) were evaluated and analyzed. Mean age was 76.3 years (range 55 to 92 years). 60 cases were treated for Fuchs endothelial corneal dystrophy and 1 case for pseudophakic corneal edema. All cases underwent descemet stripping automated endothelial keratoplasty in pseudophakic patients. Graft thickness ranged from 44 to 165 microns (average 108 microns). Mean refractive change at 3 months postoperatively was +0.89 (range -1.45 to +4.50, SD 1.22) and 6 months postoperatively was +0.67 (range -3.88 to +3.00; SD 1.23). There was no statistically significant correlation between graft thickness and overall refractive change at 3 months and 6 months postoperatively.
Our study is one of the largest retrospective reviews looking at graft thickness and refractive change in pseudophakic patients undergoing descemet endothelial automated endothelial keratoplasty. This study confirms the hyperopic shift associated with DSAEK surgery but it did not find any significant difference between graft thickness and the amount of refractive change.
This is an abstract that was submitted for the 2016 ARVO Annual Meeting, held in Seattle, Wash., May 1-5, 2016.
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