Improving The Refractive Outcome After Cataract Surgery For The Second Eye For Long And Short Eyes Using Bayesian Risk Stratification
Published 2024
- 42nd Congress of the ESCRS
Reference: PP05.02
| Type: Free paper
| DOI:
10.82333/78vw-yr77
Authors:
Nino Hirnschall* 1
, Klemens Waser 1
, Klaus Strassmair 1
, Peter Laubichler 1
, Siegfried Mariacher 1
, Leon Pomberger 1
, Haidar Khalil 1
, Matthias Bolz 1
1Ophthalmology,Kepler University Clinic and Johannes Kepler University,Linz,Austria
Purpose
Aim of this study was to improve the refractive outcome of the second eye after cataract surgery using data from the first eye in a Bayesian based risk stratification model.
Setting
Department: Ophthalmology, Kepler University Clinic and Johannes Kepler University, Linz, Austria
Methods
Within this prospective study patients scheduled for bilateral cataract surgery were included. Examinations were performed preoperatively and 8 weeks postoperatively including optical biometry (IOLMaster 700, Carl Zeiss Meditec AG, Germany), anterior segment swept source optical coherence tomography imaging (CASIA II, Tomey, Japan and MS-39, CSO, Italy) and Scheimpflug imaging (Pentacam HR, Oculus, Germany). Additionally, autorefraction, subjective refraction and visual acuity assessments for distance and intermediate vision were performed at the last follow-up.
Results
Onehundred-thirtyfour eyes of 67 patients were included in the study. At the time of analysis 46 complete datasets were available. The mean age was 71.54 years (SD: 1.18). Axial eye length for right and left eyes were 23.15 mm (SD: 0.12) and 23.12 mm (SD: 0.15), respectively. Mean absolute refractive error was similar in both eyes, 0.27 D (SD: 0.22 D) in the first eye and 0.29 D (SD: 0.19 D) in the second eye. Using a Bayesian risk stratification allowed to reduce the mean absolute refractive error of the second eye significantly to 0.21 D (SD: 0.13).
Conclusions
Bayesian risk stratification was shown to allow an improvement in the second eye refinement after cataract surgery. It does not only allow to improve the mean absolute error but also adds a risk stratification suggesting, if a correction factor should be used in the second eye, or not.