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Objective cataract grading methods and expected contrast sensitivity reestablishment with multifocal intraocular
Joaquín Fernández1, Noemí Burguera1, Carlos Rocha-de-Lossada1,2,3
1Qvision, Department of Ophthalmology, VITHAS Almería Hospital, 04120, Almería, Spain.
Age and objective metrics can predict contrast sensitivity loss after multifocal intraocular lens (MIOL) implantation. Surgeons should use these cut-offs to manage patient expectations regarding visual outcomes.
Area of Science:
- Ophthalmology
- Optometry
- Biomedical Engineering
Background:
- Multifocal intraocular lens (MIOL) implantation is a common procedure for presbyopia and cataract.
- Assessing pre-operative contrast sensitivity (CS) is crucial for managing patient expectations.
- Objective grading systems for crystalline lens sclerosis can aid in predicting visual outcomes.
Purpose of the Study:
- Determine cut-off points for age and objective metrics predicting contrast sensitivity (CS) changes after MIOL implantation.
- Identify thresholds for age, Ocular Scatter Index (OSI), Dysfunctional Lens Index (DLI), and Pentacam Nucleus Staging (PNS) related to expected CS recovery.
- Guide surgeons in communicating potential visual outcomes to patients.
Main Methods:
- Retrospective analysis of 107 subjects undergoing screening for presbyopia and cataract surgery.
- Measurement of monocular distance-corrected contrast sensitivity defocus curve (CSDC) and visual acuity.
- Grading of crystalline lens sclerosis using OSI, DLI, and PNS objective metrics.
Main Results:
- CSDC correlated better with objective grading methods than CDVA.
- Significant correlations were found between all objective metrics (p < 0.05).
- Identified cut-offs: age ≤ 62, OSI ≤ 1.25, DLI ≥ 7.67, PNS ≤ 1.
- OSI (AUC 0.85) and age (AUC 0.84) showed the highest predictive power for CS outcomes.
Conclusions:
- Surgeons should discuss potential distance CS loss after MIOL implantation based on established cut-off points.
- Combining age with objective cataract grading systems (OSI, DLI, PNS) is recommended for accurate prediction.
- These findings aid in managing patient expectations and optimizing surgical planning for MIOLs.
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